From 31266b6b97b3d28fc91c59323029b5f5678acca8 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sat, 15 Aug 2026 09:00:33 -0400
Subject: [PATCH 01/14] INIT WIP: Tearing Feature add for calculating b_crit

---
 ...r-field penetration in tokamak plasmas.pdf | Bin 0 -> 917910 bytes
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb |  72 +++
 src/GeneralizedPerturbedEquilibrium.jl        |   1 +
 .../CriticalResonantField.jl                  |  21 +
 .../CriticalResonantField/TorqueBalance.jl    | 122 +++++
 .../CriticalResonantField/bcrit_dev.ipynb     | 285 +++++++++++
 .../CriticalResonantField/bcrit_dev_ggj.ipynb | 208 ++++++++
 src/Tearing/CriticalResonantField/gslayer.txt | 466 ++++++++++++++++++
 src/Tearing/Tearing.jl                        |   4 +-
 9 files changed, 1178 insertions(+), 1 deletion(-)
 create mode 100644 docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf
 create mode 100644 examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/CriticalResonantField.jl
 create mode 100644 src/Tearing/CriticalResonantField/TorqueBalance.jl
 create mode 100644 src/Tearing/CriticalResonantField/bcrit_dev.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/gslayer.txt

diff --git a/docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf b/docs/resources/2006-Cole-Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas.pdf
new file mode 100644
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diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
new file mode 100644
index 000000000..0fb8f9079
--- /dev/null
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -0,0 +1,72 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using Plots\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_example/gpec.h5\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
+    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
+    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
+    "\n",
+    "display(p_eq)\n",
+    "display(p_ffs)\n",
+    "#display(p_pe)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/GeneralizedPerturbedEquilibrium.jl b/src/GeneralizedPerturbedEquilibrium.jl
index 96f9f4b1a..5d388d8bf 100755
--- a/src/GeneralizedPerturbedEquilibrium.jl
+++ b/src/GeneralizedPerturbedEquilibrium.jl
@@ -47,6 +47,7 @@ export Tearing
 # Backward-compat top-level aliases so callers can still reach these
 # directly; the canonical nested path is `Tearing.{Dispersion,Runner}`.
 import .Tearing.Dispersion as Dispersion
+import .Tearing.CriticalResonantField as CriticalResonantField
 import .Tearing.Runner as Runner
 export Dispersion, Runner
 
diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
new file mode 100644
index 000000000..453f04b73
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -0,0 +1,21 @@
+# CriticalResonantField.jl
+#
+# Uses the inner-layer delta from InnerLayer.jl to find the critical resonant field
+# required for mode penetration at each rational surface. This can then be compared
+# to the actual resonant field from the perturbed equilibrium to determine which modes
+# are predicted to penetrate.
+
+module CriticalResonantField
+
+using LinearAlgebra
+using StaticArrays
+
+using ..InnerLayer
+using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
+    SLAYERModel, SLAYERParameters
+
+#include("TorqueBalance.jl")
+
+#export TorqueBalance, torque_balance
+
+end # module CriticalResonantField
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
new file mode 100644
index 000000000..c85bff102
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -0,0 +1,122 @@
+# TorqueBalance.jl
+#
+# `TorqueBalance` solves the torque balance eqution for each rational surface.
+# It follows the derivation found in Cole PopP 2006. For simplicity, the script
+# uses equation 62 of Cole. This can be improved by incorporating the true
+# outer-layer Δ' from the perturbed equilibrium and then solving equation 61.
+#
+# The viscous torque is:
+#
+#   T_v = 2 · P (Q_0 - Q) / ((S kappa^hat) · (b_r(r_s)/B_phi))^2
+#
+# The electromagnetic torque is:
+#
+#   T_em = Im[Δ_inner(Q)] / |alpha + Δ_inner(Q)|^2
+#
+# Now solving for critical resonant field, we have:
+#
+#   (b_r(r_s)/B_phi))^2_crit = max(2 · P (Q_0 - Q) / ((S kappa^hat) · Im[-Δ_inner(Q)^-1])
+#
+# Normalizations, definitions, and other conventions are taken from the Cole paper.
+# The critical resonant field is found at each rational surface. For each, the script
+# scans over a range of Q values and finds the maximum value of the right-hand side of
+# the equation above.
+
+"""
+    TorqueBalance{M<:InnerLayerModel, P}
+
+Per-surface dispersion data: `(model, params, dp_diag, dc, scale, tauk)`.
+Calling `sc(Q)` returns the complex residual
+
+```
+r(Q) = dp_diag - scale * solve_inner(model, params, Q).tearing - dc
+```
+
+A root of `sc` in the complex `Q` plane is a **tearing** eigenvalue at
+this surface in the *uncoupled* approximation (only the tearing channel
+of the inner-layer response appears — the interchange channel enters the
+full 2m×2m dispersion via `MultiSurfaceCoupling`, not this scalar form).
+Coupled multi-surface eigenvalues come from `MultiSurfaceCoupling`
+evaluating the determinant of the modified Δ' matrix.
+"""
+struct SurfaceCoupling{M<:InnerLayerModel,P}
+    model::M
+    params::P
+    dp_diag::ComplexF64
+    dc::Float64
+    scale::Float64
+    tauk::Float64
+end
+
+function (sc::SurfaceCoupling)(Q::Number)
+    Δ = solve_inner(sc.model, sc.params, ComplexF64(Q)).tearing
+    return sc.dp_diag - sc.scale * Δ - sc.dc
+end
+
+"""
+    surface_coupling(model::SLAYERModel, params::SLAYERParameters,
+                     dp_diag::Number; dc::Real=0.0) -> SurfaceCoupling
+
+SLAYER convenience constructor. `scale` is set to `params.lu^(1/3)` so that
+the dimensionless Δ from `riccati_f` is mapped to outer ψ-units before
+subtraction from the Δ' diagonal. `tauk` is taken from `params.tauk` for use
+by `MultiSurfaceCoupling` Q rescaling.
+"""
+function surface_coupling(model::SLAYERModel, params::SLAYERParameters,
+    dp_diag::Number; dc::Real=0.0)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        Float64(dc), params.lu^(1 / 3), params.tauk)
+end
+
+"""
+    surface_coupling(model::GGJModel, params::GGJParameters,
+                     dp_diag::Number) -> SurfaceCoupling
+
+GGJ convenience constructor. `scale` is `1.0` because GGJ's `solve_inner`
+applies its own `rescale_delta` (S^(2p₁/3)·v1^(2p₁)) internally, so the
+returned Δ is already in outer units. `tauk` defaults to `1.0` (GGJ has no
+direct analogue of SLAYER's per-surface time normalization, so multi-surface
+Q rescaling is a no-op for GGJ surfaces unless overridden).
+
+**No `dc` kwarg**: GGJ's 4m×4m Pletzer-Dewar residual already includes the
+interchange channel, which provides Glasser (Mercier) stabilization
+natively. A Δ_crit proxy (χ_parallel-matching offset on the diagonal) is
+meaningful only for tearing-only slab-layer approximations like SLAYER;
+for GGJ it would double-count the interchange physics. The `SurfaceCoupling`
+struct's `dc` field is hard-wired to 0 here.
+"""
+function surface_coupling(model::GGJModel, params::GGJParameters,
+    dp_diag::Number)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        0.0, 1.0, 1.0)
+end
+
+"""
+    surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
+                     dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
+        -> SurfaceCoupling
+
+Generic fallback constructor. Use this when wiring a new inner-layer model
+into the dispersion solver — pass the appropriate inner→outer-units `scale`
+and per-surface `tauk` explicitly.
+"""
+function surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
+    dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
+    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
+        Float64(dc), Float64(scale), Float64(tauk))
+end
+
+function torque_balance_value(tb::TorqueBalance, Q::Number)
+    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
+    jxb = -imag(1.0 / (Δ + tb.delta_n_p))
+    return 2.0 * tb.P * (tb.Q0 - Q) / jxb
+end
+
+function scan_torque_balance(tb; Qmin=-10.0, Qmax=10.0, nscan=200)
+    qs = range(Qmin, Qmax; length=nscan)
+    vals = torque_balance_value.(Ref(tb), qs)
+    idx = argmax(vals)
+    return qs[idx], vals[idx]
+end
+
+br_th = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
new file mode 100644
index 000000000..a6186408f
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -0,0 +1,285 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance\n",
+    "    model\n",
+    "    params\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    delta_n_p::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, 0.0\n",
+    "    end\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    \n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "#p = p2\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "\n",
+    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
+    "lu=tau_r/tau_h                   ! Lundquist number\n",
+    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
+    "\n",
+    "! note Q depends on Qconv even if omega is fixed.\n",
+    "Q=Qconv*omega\n",
+    "Q_e=-Qconv*omega_e\n",
+    "Q_i=-Qconv*omega_i\n",
+    "\n",
+    "\"\"\"\n",
+    "2=-lu**(1.0/3.0)*tau_h *OE\n",
+    "2 = tauk *OE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "vals = [torque_balance_value(tb, q) for q in Qs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qpk = Qs_positive[argmax(bal_positive)]\n",
+    "j   = findfirst(isequal(Qpk), Qs)\n",
+    "\n",
+    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
+    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
+    "\n",
+    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
+    "\n",
+    "println(\"lhs = \", lhs)\n",
+    "println(\"rhs = \", rhs)\n",
+    "println(\"lhs/rhs = \", lhs / rhs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (br_t / p.bt)^2 * jxbs\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
new file mode 100644
index 000000000..94f04beac
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: GGJParameters\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "import GeneralizedPerturbedEquilibrium.InnerLayer.GGJ: sfac\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance\n",
+    "    model\n",
+    "    params\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    delta_n_p::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_ggj = GeneralizedPerturbedEquilibrium.InnerLayer.glasser_wang_2020_eq55()\n",
+    "lu_ggj = sfac(p_ggj)\n",
+    "sval_ggj = 0.5\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:ray),\n",
+    "    p_ggj,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    1e-2,\n",
+    "    lu_ggj,\n",
+    "    sval_ggj\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "\n",
+    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
+    "lu=tau_r/tau_h                   ! Lundquist number\n",
+    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
+    "\n",
+    "! note Q depends on Qconv even if omega is fixed.\n",
+    "Q=Qconv*omega\n",
+    "Q_e=-Qconv*omega_e\n",
+    "Q_i=-Qconv*omega_i\n",
+    "\n",
+    "\"\"\"\n",
+    "2=-lu**(1.0/3.0)*tau_h *OE\n",
+    "OE = -2 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "vals = [torque_balance_value(tb, q) for q in Qs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"torque balance\")\n",
+    "title!(\"tb(Q)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/gslayer.txt b/src/Tearing/CriticalResonantField/gslayer.txt
new file mode 100644
index 000000000..91cc2f862
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/gslayer.txt
@@ -0,0 +1,466 @@
+      MODULE gslayer_mod
+
+      USE sglobal_mod, ONLY: out_unit, r8, mu0, m_p, chag, lnLamb,
+     $   Q_e,Q_i,pr,pe,c_beta,ds,tau,
+     $   eta,visc,rho_s,lu,omega_e,omega_i,
+     $   delta_n,layfac,
+     $   Q
+      USE delta_mod, ONLY: riccati,riccati_out,
+     $   parflow_flag,PeOhmOnly_flag
+
+      IMPLICIT NONE
+
+c-----------------------------------------------------------------------
+c     torque balance scan resolution. public so that gpout_singfld can
+c     size the netcdf dimension from the same source of truth.
+c-----------------------------------------------------------------------
+      INTEGER, PARAMETER :: slayer_inum=200
+      INTEGER, PARAMETER :: slayer_nref=4
+c-----------------------------------------------------------------------
+c     dedicated logarithmic sampling window bracketing Q_e, the electron
+c     diamagnetic frequency. (Q-Q_e) sits in the denominator of both G
+c     and C3 in delta.f, so the layer solve is singular there; the
+c     coarse scan steps over that neighbourhood with dQ=0.1 and the
+c     adaptive refinement only visits it when the torque-balance peak
+c     happens to land on it. These samples always resolve it, so the
+c     structure can be inspected on every surface rather than only on
+c     the ones that fell into it.
+c
+c     PURELY DIAGNOSTIC: filled after br_th is computed, and tagged
+c     kpass=slayer_qetag so the threshold search cannot see them.
+c     Costs slayer_nqe extra lsode solves per surface (~40% on top of
+c     the 1005 the scan already does).
+c-----------------------------------------------------------------------
+      INTEGER, PARAMETER :: slayer_nqe=400
+      INTEGER, PARAMETER :: slayer_qetag=99
+      REAL(r8), PARAMETER :: slayer_qefar=1.0e-1_r8
+      REAL(r8), PARAMETER :: slayer_qenear=1.0e-9_r8
+      INTEGER, PARAMETER :: slayer_nq=(slayer_inum+1)*(slayer_nref+1)
+     $                               +slayer_nqe
+c-----------------------------------------------------------------------
+c     every term of Cole & Fitzpatrick Eq. (61) on one rational
+c     surface,
+c        Im[Delta]/|alpha+Delta|**2
+c              = 2*P*(Q0-Q)/(S*kappa_hat*(b_r/B_phi)**2)
+c     recorded so the balance can be rebuilt piece by piece and
+c     rescanned in post processing. every component is default
+c     initialized, so both ALLOCATE and INTENT(OUT) leave a well
+c     defined (zero) state even when the layer solve is skipped.
+c
+c     kpass tags the scan pass that produced each sample: 0 for the
+c     coarse scan, 1..slayer_nref for the adaptive refinement passes.
+c-----------------------------------------------------------------------
+      TYPE :: slayer_diag_type
+         REAL(r8), DIMENSION(slayer_nq) :: qs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: lhs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: rhs=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: bal=0.0_r8
+         REAL(r8), DIMENSION(slayer_nq) :: brb=0.0_r8
+         COMPLEX(r8), DIMENSION(slayer_nq) :: dlt=(0.0_r8,0.0_r8)
+         INTEGER, DIMENSION(slayer_nq) :: kpass=0
+         REAL(r8) :: alpha=0.0_r8, kaphat=0.0_r8, slun=0.0_r8
+         REAL(r8) :: prnd=0.0_r8, q0v=0.0_r8, qcnv=0.0_r8
+         REAL(r8) :: qev=0.0_r8, qiv=0.0_r8, dsv=0.0_r8
+         REAL(r8) :: cbeta=0.0_r8, tratio=0.0_r8, pev=0.0_r8
+         REAL(r8) :: lfac=0.0_r8, dnorm=0.0_r8, rhos=0.0_r8
+         REAL(r8) :: etav=0.0_r8, viscv=0.0_r8, tauh=0.0_r8
+         REAL(r8) :: taur=0.0_r8, tauv=0.0_r8, taui=0.0_r8
+         REAL(r8) :: shr=0.0_r8, bl=0.0_r8, va=0.0_r8
+         REAL(r8) :: rhom=0.0_r8, lbet=0.0_r8, omg=0.0_r8
+         REAL(r8) :: qsol=0.0_r8, wsol=0.0_r8, brth=0.0_r8
+         REAL(r8) :: mxbal=0.0_r8, qmn=0.0_r8, qmx=0.0_r8
+      END TYPE slayer_diag_type
+
+      CONTAINS
+
+c-----------------------------------------------------------------------
+c     subprogram 1. gpec_slayer.
+c     run slayer to provide b_crit(ising).
+c-----------------------------------------------------------------------
+c-----------------------------------------------------------------------
+c     declarations.
+c-----------------------------------------------------------------------
+      SUBROUTINE gpec_slayer(n_e,t_e,n_i,t_i,zeff,omega,omega_e,
+     $   omega_i,qval,sval,bt,rs,R0,mu_i,inpr,mms,nns,ascii_flag,
+     $     delta,psi0,jxb,omega_sol,br_th,diag,inlayfac,inlayfrac)
+
+      REAL(r8),INTENT(IN) :: n_e,t_e,n_i,t_i,omega,omega_e,omega_i,
+     $     qval,sval,bt,rs,R0,zeff,inpr
+      REAL(r8),INTENT(IN),OPTIONAL :: inlayfac,inlayfrac
+      REAL(r8) :: layfac_max,layfac_frac
+      INTEGER, INTENT(IN) :: mms,nns,mu_i
+      LOGICAL, INTENT(IN) :: ascii_flag
+      COMPLEX(r8),INTENT(OUT) :: delta,psi0
+      REAL(r8),INTENT(OUT) :: jxb,omega_sol,br_th
+      TYPE(slayer_diag_type), INTENT(OUT), OPTIONAL :: diag
+
+      INTEGER :: i,inum
+      INTEGER, DIMENSION(1) :: index
+
+      REAL(r8) :: inQ,inQ_e,inQ_i,inpe,inc_beta,inds,intau,inlu
+      REAL(r8) :: mrs,nrs,rho,b_l,v_a,Qconv,Q0,delta_n_p,
+     $            lbeta,tau_i,tau_h,tau_r,tau_v
+      REAL(r8) :: inQ_min,inQ_max,Q_sol,maxbal
+      INTEGER :: ipass
+      INTEGER, PARAMETER :: nref=slayer_nref
+      REAL(r8) :: xpk,rlo,rhi,rdq,rdqc,xq,bloc,jloc
+      COMPLEX(r8) :: dloc
+
+c     Eq. (61) term capture. cqs/cdlt/clhs/crhs/cbal/cbrb hold every
+c     sample of the coarse and refinement scans, cpass its pass tag,
+c     and iperm the permutation that sorts them by ascending Q.
+      INTEGER :: j,k,kk
+      INTEGER, DIMENSION(slayer_nq) :: iperm,cpass
+      REAL(r8), DIMENSION(slayer_nq) :: cqs,clhs,crhs,cbal,cbrb
+      COMPLEX(r8), DIMENSION(slayer_nq) :: cdlt
+      REAL(r8) :: kaphat,xtmp
+
+      REAL(r8), DIMENSION(:), ALLOCATABLE :: inQs,iinQs,jxbl,bal
+      COMPLEX(r8), DIMENSION(:), ALLOCATABLE :: deltal
+      CHARACTER(3) :: sn,sm
+
+      parflow_flag=.FALSE.
+      PeOhmOnly_flag=.TRUE.
+      riccati_out=.FALSE.
+
+      mrs = real(mms,4)
+      nrs = real(nns,4)
+
+      ! String representations of the m and n mode numbers
+      IF (nns<10) THEN
+         WRITE(UNIT=sn,FMT='(I1)') nns
+         sn=ADJUSTL(sn)
+      ELSE
+         WRITE(UNIT=sn,FMT='(I2)') nns
+      ENDIF
+      IF (mms<10) THEN
+         WRITE(UNIT=sm,FMT='(I1)') mms
+         sm=ADJUSTL(sm)
+      ELSEIF (mms<100) THEN
+         WRITE(UNIT=sm,FMT='(I2)') mms
+         sm=ADJUSTL(sm)
+      ELSE
+         WRITE(UNIT=sm,FMT='(I3)') mms
+      ENDIF
+
+      inpe=0.0                         ! Waybright added this
+
+      tau= t_i/t_e                     ! ratio of ion to electron temperature
+      tau_i = 6.6e17*mu_i**0.5*(t_i/1e3)**1.5/(n_e*lnLamb) ! ion colls.
+      eta= 1.65e-9*lnLamb/(t_e/1e3)**1.5 ! spitzer resistivity (wesson)
+      rho=(mu_i*m_p)*n_e               ! mass density
+
+      b_l=(nrs/mrs)*rs*sval*bt/R0      ! characteristic magnetic field
+      v_a=b_l/(mu0*rho)**0.5           ! alfven velocity
+      rho_s=1.02e-4*(mu_i*t_e)**0.5/bt ! ion Lamour by elec. Temp.
+
+      tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface
+      tau_r=mu0*rs**2.0/eta            ! resistive time scale
+      tau_v=tau_r/inpr                   ! rho*rs**2.0/visc ! viscous time scale
+
+      ! this one must be anomalous. calculated back from pr.
+      visc= rho*rs**2.0/tau_v
+
+      lu=tau_r/tau_h                   ! Lundquist number
+
+      Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole
+
+      ! note Q depends on Qconv even if omega is fixed.
+      Q=Qconv*omega
+      Q_e=-Qconv*omega_e
+      Q_i=-Qconv*omega_i
+
+      ! This is the most critical parameter
+      ds=lu**(1.0/3.0)*rho_s/rs        ! conversion based on Cole.
+
+      lbeta=(5.0/3.0)*mu0*n_e*chag*(t_e+t_i)/bt**2.0
+      c_beta=(lbeta/(1.0+lbeta))**0.5
+
+      delta_n=lu**(1.0/3.0)/rs         ! norm factor for delta primes
+
+      inQ=Q
+      inQ_e=Q_e
+      inQ_i=Q_i
+      inc_beta=c_beta
+      inds=ds
+      intau=tau
+      Q0=Q
+c-----------------------------------------------------------------------
+c     set the layer regularization width.
+c
+c     riccati excises a disc of radius layfac around Q_e, where Im[Delta]
+c     has a zero and bal=2P(Q0-Q)/lhs therefore has a pole. Without it the
+c     coarse scan and its refinement walk into that pole and MAXVAL(bal)
+c     returns a threshold set by the scan spacing rather than by the
+c     saddle-node bifurcation. gpec_slayer never assigned layfac, so on
+c     this path the guard was dead.
+c
+c     A fixed width is not safe on every surface: the disc [Q_e-layfac,
+c     Q_e+layfac] can be a large fraction of the physical branch, and on
+c     high-m surfaces it can swallow the turning point or Q0 itself --
+c     quietly, since a number still comes back. So the width is scaled to
+c     the accessible branch |Q0-Q_e| and capped:
+c
+c        layfac_frac > 0 : layfac = MIN(layfac_max, layfac_frac*|Q0-Q_e|)
+c        layfac_frac <= 0: layfac = layfac_max          (fixed width)
+c        layfac_max  <= 0: layfac = 0                   (guard off)
+c
+c     Exposed through gpec.in so the choice is auditable per run; it is a
+c     physics judgement, not a constant.
+c-----------------------------------------------------------------------
+      layfac_max=0.02_r8
+      IF (PRESENT(inlayfac)) layfac_max=inlayfac
+      layfac_frac=0.25_r8
+      IF (PRESENT(inlayfrac)) layfac_frac=inlayfrac
+      IF (layfac_max>0.0_r8) THEN
+         IF (layfac_frac>0.0_r8) THEN
+            layfac=MIN(layfac_max,layfac_frac*ABS(Q0-inQ_e))
+         ELSE
+            layfac=layfac_max
+         ENDIF
+      ELSE
+         layfac=0.0_r8
+      ENDIF
+c-----------------------------------------------------------------------
+c     calculate basic delta, torque, balance, error fields.
+c-----------------------------------------------------------------------
+      delta_n_p=1e-2
+      ! kappa_hat of Eq. (61) is implicit in the br_th expression at the
+      ! end of this routine: sqrt(maxbal/lu*(sval**2/2)) is identically
+      ! sqrt(maxbal/(lu*kappa_hat)) for kappa_hat=2/sval**2. Named here
+      ! for output only; it is never used in a physics expression, so
+      ! the threshold is unchanged.
+      IF (sval/=0.0_r8) THEN
+         kaphat=2.0_r8/sval**2.0
+      ELSE
+         kaphat=0.0_r8
+      ENDIF
+      delta=riccati(inQ,inQ_e,inQ_i,inpr,inc_beta,inds,intau,inpe)
+      psi0=1.0/ABS(delta+delta_n_p)     ! a.u.
+      jxb=-AIMAG(1.0/(delta+delta_n_p)) ! a.u.
+c----------------------------------------------------------------------
+c     find solutions based on simple torque balance.
+c-----------------------------------------------------------------------
+      IF (Q0>inQ_e) THEN
+         inQ_max=2.0*Q0
+         inQ_min=1.05*inQ_e
+      ELSE
+         inQ_max=0.95*inQ_e
+         IF (Q0>0) THEN
+            inQ_min=0.8*inQ_i
+         ELSE
+            inQ_min=1.5*MINVAL((/Q0,inQ_i/))
+         ENDIF
+      ENDIF
+
+      ! Scan of rotation
+      inQ_max=10.0
+      inQ_min=-10.0
+      inum=slayer_inum
+      ALLOCATE(inQs(0:inum),deltal(0:inum),jxbl(0:inum),bal(0:inum))
+      DO i=0,inum
+         inQs(i)=inQ_min+(REAL(i)/inum)*(inQ_max-inQ_min)
+         deltal(i)=riccati(inQs(i),inQ_e,inQ_i,
+     $        inpr,inc_beta,inds,intau,inpe)
+         jxbl(i)=-AIMAG(1.0/(deltal(i)+delta_n_p))
+         bal(i)=2.0*inpr*(Q0-inQs(i))/jxbl(i)
+      ENDDO
+
+      ! Capture the coarse pass (tag 0). This only reads inQs/deltal/
+      ! jxbl/bal, so both the ascii dump and the refinement below are
+      ! bit for bit unchanged. The Eq. (61) right hand side numerator
+      ! is recomputed rather than harvested out of the bal expression
+      ! above; 2.0*inpr*(Q0-inQs(i)) is a pure product chain, so the
+      ! recomputed value is identical to the one formed inline.
+      DO i=0,inum
+         cqs(i+1)=inQs(i)
+         cdlt(i+1)=deltal(i)
+         clhs(i+1)=jxbl(i)
+         crhs(i+1)=2.0*inpr*(Q0-inQs(i))
+         cbal(i+1)=bal(i)
+         cpass(i+1)=0
+      ENDDO
+
+      ! Write torque balance curves to file for diagnostic purposes
+      IF(ascii_flag)THEN
+         OPEN(UNIT=out_unit,FILE="gpec_slayer_torque_balance_m"//
+     $        TRIM(sm)//"_n"//TRIM(sn)//".out",
+     $        STATUS="UNKNOWN")
+         WRITE(out_unit,'(1x,5(a17))') "inQ","RE(delta)",
+     $        "IM(delta)","jxb","bal"
+         DO i=0,inum
+            WRITE(out_unit,'(1x,5(es17.8e3))')
+     $           inQs(i),REAL(deltal(i)),AIMAG(deltal(i)),jxbl(i),bal(i)
+         ENDDO
+         CLOSE(out_unit)
+      ENDIF
+
+      ! The coarse scan above gives the overall torque-balance shape
+      ! and the diagnostic output. The locking "nose" (the maximum of
+      ! bal) can be a very narrow spike near inQ=Q0, however, and the
+      ! coarse grid can step right over it, leaving a spuriously
+      ! negative MAXVAL(bal) and hence a NaN br_th. Bracket the coarse
+      ! maximum and iteratively refine the scan around the running peak
+      ! so the nose is resolved regardless of how narrow it is. Exclude
+      ! non-finite entries (NaN from 0/0, Inf from a near-zero jxbl).
+      index=MAXLOC(bal,MASK=(bal==bal .AND. ABS(bal)<HUGE(bal)))
+      rdqc=(inQ_max-inQ_min)/inum
+      xpk=inQs(index(1))
+      rlo=xpk-2.0*rdqc
+      rhi=xpk+2.0*rdqc
+      maxbal=-HUGE(maxbal)
+      DO ipass=1,nref
+         rdq=(rhi-rlo)/inum
+         DO i=0,inum
+            xq=rlo+REAL(i)*rdq
+            dloc=riccati(xq,inQ_e,inQ_i,inpr,
+     $           inc_beta,inds,intau,inpe)
+            jloc=-AIMAG(1.0/(dloc+delta_n_p))
+            bloc=2.0*inpr*(Q0-xq)/jloc
+            ! capture this refinement sample (tag ipass)
+            k=ipass*(inum+1)+i+1
+            cqs(k)=xq
+            cdlt(k)=dloc
+            clhs(k)=jloc
+            crhs(k)=2.0*inpr*(Q0-xq)
+            cbal(k)=bloc
+            cpass(k)=ipass
+            IF (bloc==bloc .AND. ABS(bloc)<HUGE(bloc)
+     $           .AND. bloc>maxbal) THEN
+               maxbal=bloc
+               xpk=xq
+            ENDIF
+         ENDDO
+         rlo=xpk-2.0*rdq
+         rhi=xpk+2.0*rdq
+      ENDDO
+      Q_sol=xpk
+      omega_sol=xpk/Qconv
+      ! If even the refined nose is non-positive the surface has no
+      ! finite penetration threshold; floor at zero and warn rather
+      ! than propagating a NaN into b_crit/Phi_res_crit downstream.
+      IF (maxbal>0.0_r8) THEN
+         br_th=sqrt(maxbal/lu*(sval**2.0/2.0))
+      ELSE
+         br_th=0.0_r8
+         WRITE(*,'(1x,a,i0,a,i0,a)')
+     $      "!! WARNING: SLAYER torque balance has no positive "//
+     $      "maximum at m=",mms,", n=",nns,"; br_th set to 0"
+      ENDIF
+c-----------------------------------------------------------------------
+c     assemble the Eq. (61) record: b_r/B_phi implied by each balance
+c     point, then merge the coarse and refined samples onto one
+c     ascending Q grid so the narrow nose is densely resolved and the
+c     curve can be interpolated in post processing.
+c-----------------------------------------------------------------------
+      ! Dedicated logarithmic sweep through the Q_e singularity, half
+      ! the samples on each side, |Q-Q_e| running from slayer_qefar in
+      ! to slayer_qenear. br_th is already fixed above and these are
+      ! tagged slayer_qetag, so they are invisible to the peak search.
+      DO i=1,slayer_nqe/2
+         xq=slayer_qefar*(slayer_qenear/slayer_qefar)
+     $      **(REAL(i-1,r8)/REAL(slayer_nqe/2-1,r8))
+         DO j=0,1
+            k=(inum+1)*(nref+1)+(i-1)*2+j+1
+            IF (j==0) THEN
+               cqs(k)=inQ_e-xq
+            ELSE
+               cqs(k)=inQ_e+xq
+            ENDIF
+            cdlt(k)=riccati(cqs(k),inQ_e,inQ_i,inpr,
+     $           inc_beta,inds,intau,inpe)
+            clhs(k)=-AIMAG(1.0/(cdlt(k)+delta_n_p))
+            crhs(k)=2.0*inpr*(Q0-cqs(k))
+            cbal(k)=crhs(k)/clhs(k)
+            cpass(k)=slayer_qetag
+         ENDDO
+      ENDDO
+      ! deliberately the same expression form as br_th above, so the
+      ! peak sample reproduces br_th exactly rather than differing in
+      ! the last bit.
+      DO k=1,slayer_nq
+         IF (cbal(k)==cbal(k) .AND. cbal(k)>0.0_r8
+     $        .AND. ABS(cbal(k))<HUGE(cbal(k))) THEN
+            cbrb(k)=sqrt(cbal(k)/lu*(sval**2.0/2.0))
+         ELSE
+            cbrb(k)=0.0_r8
+         ENDIF
+      ENDDO
+      ! insertion sort of a permutation index, keyed on Q so the key can
+      ! never be NaN. cqs is five already ascending runs, so this is
+      ! cheap next to the slayer_nq lsode solves already done above.
+      ! Duplicates are kept: a refinement bracket can land exactly on a
+      ! coarse abscissa, and the pass tag distinguishes them.
+      DO k=1,slayer_nq
+         iperm(k)=k
+      ENDDO
+      DO k=2,slayer_nq
+         kk=iperm(k)
+         xtmp=cqs(kk)
+         j=k-1
+         DO WHILE (j>=1)
+            IF (cqs(iperm(j))<=xtmp) EXIT
+            iperm(j+1)=iperm(j)
+            j=j-1
+         ENDDO
+         iperm(j+1)=kk
+      ENDDO
+      IF (PRESENT(diag)) THEN
+         DO k=1,slayer_nq
+            kk=iperm(k)
+            diag%qs(k)=cqs(kk)
+            diag%dlt(k)=cdlt(kk)
+            diag%lhs(k)=clhs(kk)
+            diag%rhs(k)=crhs(kk)
+            diag%bal(k)=cbal(kk)
+            diag%brb(k)=cbrb(kk)
+            diag%kpass(k)=cpass(kk)
+         ENDDO
+         ! scalars are taken from the local copies, never from the
+         ! sglobal_mod globals Q/Q_e/Q_i/ds/tau/c_beta/pr/pe: riccati
+         ! overwrites those on every call, so by this point the module
+         ! Q holds the last refinement sample rather than Q0.
+         diag%alpha=delta_n_p
+         diag%kaphat=kaphat
+         diag%slun=lu
+         diag%prnd=inpr
+         diag%q0v=Q0
+         diag%qcnv=Qconv
+         diag%qev=inQ_e
+         diag%qiv=inQ_i
+         diag%dsv=inds
+         diag%cbeta=inc_beta
+         diag%tratio=intau
+         diag%pev=inpe
+         diag%lfac=layfac
+         diag%dnorm=delta_n
+         diag%rhos=rho_s
+         diag%etav=eta
+         diag%viscv=visc
+         diag%tauh=tau_h
+         diag%taur=tau_r
+         diag%tauv=tau_v
+         diag%taui=tau_i
+         diag%shr=sval
+         diag%bl=b_l
+         diag%va=v_a
+         diag%rhom=rho
+         diag%lbet=lbeta
+         diag%omg=omega
+         diag%qsol=Q_sol
+         diag%wsol=omega_sol
+         diag%brth=br_th
+         diag%qmn=inQ_min
+         diag%qmx=inQ_max
+         IF (maxbal>-HUGE(maxbal)) THEN
+            diag%mxbal=maxbal
+         ELSE
+            diag%mxbal=0.0_r8
+         ENDIF
+      ENDIF
+      DEALLOCATE(inQs,deltal,jxbl,bal)
+
+      RETURN
+      END SUBROUTINE gpec_slayer
+
+      END MODULE gslayer_mod
diff --git a/src/Tearing/Tearing.jl b/src/Tearing/Tearing.jl
index 745a30857..ae3ed8e3c 100644
--- a/src/Tearing/Tearing.jl
+++ b/src/Tearing/Tearing.jl
@@ -23,12 +23,14 @@ import ..InnerLayer as InnerLayer
 
 include("LayerInputs.jl")
 include("Dispersion/Dispersion.jl")
+include("CriticalResonantField/CriticalResonantField.jl")
 include("Runner/Runner.jl")
 
 import .Dispersion as Dispersion
+import .CriticalResonantField as CriticalResonantField
 import .Runner as Runner
 
-export InnerLayer, Dispersion, Runner
+export InnerLayer, Dispersion, CriticalResonantField, Runner
 export build_ggj_inputs
 
 end # module Tearing

From ba740feebe21bf366d5dc69e4c07831b3bc97f73 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sat, 15 Aug 2026 21:28:37 -0400
Subject: [PATCH 02/14] WIP - Testing

---
 .../CriticalResonantField/bcrit_dev.ipynb     | 231 +++++++++++++++++-
 .../CriticalResonantField/bcrit_dev_ggj.ipynb |  34 ++-
 2 files changed, 257 insertions(+), 8 deletions(-)

diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index a6186408f..78490c308 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -97,6 +97,223 @@
    "id": "4",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, Float64[], Float64[], NaN, NaN, 0, Δs\n",
+    "    end\n",
+    "\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end\n",
+    "# one-cell scan: x = b_crit, y = Q_0\n",
+    "Q0_vals = range(-2.0, 2.0; length=60)\n",
+    "\n",
+    "bcrit_vals = Float64[]\n",
+    "locked_flag = Bool[]\n",
+    "\n",
+    "for Q0 in Q0_vals\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_vals, NaN)\n",
+    "        push!(locked_flag, false)\n",
+    "    else\n",
+    "        push!(bcrit_vals, brcrit)\n",
+    "        push!(locked_flag, true)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "# keep only finite x-values for plotting\n",
+    "x = bcrit_vals[isfinite.(bcrit_vals)]\n",
+    "y = Q0_vals[isfinite.(bcrit_vals)]\n",
+    "locked = locked_flag[isfinite.(bcrit_vals)]\n",
+    "\n",
+    "p = scatter(\n",
+    "    x[locked], y[locked],\n",
+    "    label=\"locked\",\n",
+    "    color=:green,\n",
+    "    markersize=5,\n",
+    "    marker=:circle,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked boundary\",\n",
+    "    legend=:topleft\n",
+    ")\n",
+    "\n",
+    "scatter!(\n",
+    "    p,\n",
+    "    x[.!locked], y[.!locked],\n",
+    "    label=\"unlocked\",\n",
+    "    color=:red,\n",
+    "    markersize=5,\n",
+    "    marker=:square\n",
+    ")\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import Pkg; Pkg.add(\"DataInterpolations\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    "using DataInterpolations\n",
+    "\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    grid=false,\n",
+    "    linewidth=2,\n",
+    "    guidefontsize=26,\n",
+    "    tickfontsize=18,\n",
+    "    titlefontsize=30,\n",
+    "    legendfontsize=18,\n",
+    "    size=(1200, 800),\n",
+    "    dpi=150\n",
+    ")\n",
+    "\n",
+    "# Build the critical boundary bcrit(Q0)\n",
+    "Q0_scan = range(-1.0, 4.5; length=80)\n",
+    "bcrit_curve = Float64[]\n",
+    "\n",
+    "for Q0 in Q0_scan\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
+    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_curve, NaN)\n",
+    "    else\n",
+    "        push!(bcrit_curve, brcrit)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "ok = isfinite.(bcrit_curve)\n",
+    "Q0_plot = Q0_scan[ok]\n",
+    "bcrit_plot = bcrit_curve[ok]\n",
+    "\n",
+    "perm = sortperm(Q0_plot)\n",
+    "Q0_plot = Q0_plot[perm]\n",
+    "bcrit_plot = bcrit_plot[perm]\n",
+    "\n",
+    "# Interpolate the boundary: bcrit = f(Q0)\n",
+    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
+    "\n",
+    "# Full phase-box bounds\n",
+    "x0 = minimum(bcrit_plot) * 0.8\n",
+    "x1 = maximum(bcrit_plot) * 1.2\n",
+    "y0 = minimum(Q0_plot)\n",
+    "y1 = maximum(Q0_plot)\n",
+    "\n",
+    "xvals = range(x0, x1; length=350)\n",
+    "yvals = range(y0, y1; length=350)\n",
+    "\n",
+    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
+    "for iy in eachindex(yvals)\n",
+    "    y = yvals[iy]\n",
+    "    for ix in eachindex(xvals)\n",
+    "        x = xvals[ix]\n",
+    "        # locked when bcrit exceeds the boundary for that Q0\n",
+    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "p = contourf(\n",
+    "    xvals, yvals, locked_mask',\n",
+    "    levels=[-0.5, 0.5, 1.5],\n",
+    "    c=[:navy, :firebrick],\n",
+    "    colorbar=false,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked region\",\n",
+    "    framestyle=:box,\n",
+    "    xlims=(x0, x1),\n",
+    "    ylims=(y0, y1),\n",
+    "    legend=false\n",
+    ")\n",
+    "\n",
+    "# Critical boundary\n",
+    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
+    "\n",
+    "# Critical point\n",
+    "cp_idx = argmax(bcrit_plot)\n",
+    "cp_x = bcrit_plot[cp_idx]\n",
+    "cp_y = Q0_plot[cp_idx]\n",
+    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "# Single legend block with one entry per category\n",
+    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
+    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "plot!(p; legend=:topright)\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You can substitute any valid SLAYERParameters you already have.\n",
     "# This is just an example skeleton.\n",
@@ -135,7 +352,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +375,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -170,7 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "11",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -212,7 +429,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8",
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,6 +441,8 @@
     "\n",
     "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
     "\n",
+    "\n",
+    "\n",
     "println(\"lhs = \", lhs)\n",
     "println(\"rhs = \", rhs)\n",
     "println(\"lhs/rhs = \", lhs / rhs)"
@@ -232,7 +451,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,7 +460,7 @@
     "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
     "br_t = brcrit\n",
     "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (br_t / p.bt)^2 * jxbs\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
     "i = Qpeak_ind\n",
     "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
     "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
index 94f04beac..a4d02d76f 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -146,9 +146,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Qs = range(-5.0, 5.0, length=200)\n",
+    "Qs = range(-5.0, 5.0, length=20)\n",
     "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]"
+    "vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\n",
+    "# 1m 34.7s for length = 2\n",
+    "# 46 m for length = 20\n"
    ]
   },
   {
@@ -194,6 +197,33 @@
     "\n",
     "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
   }
  ],
  "metadata": {

From ddd54fefb2051d59e65b5e3537fc5d1ce4f91de3 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Sun, 16 Aug 2026 20:10:59 -0400
Subject: [PATCH 03/14] WIP - In progress bcrit full workflow

---
 Project.toml                                  |   4 +-
 benchmarks/benchmark_against_fortran_run.jl   |  24 +-
 ...hmark_coil_ForcingTerms_against_fortran.jl | 121 ++--
 benchmarks/benchmark_delta_prime_methods.jl   |   4 +-
 .../benchmark_diiid_ideal_ntv_torque.jl       |   4 +-
 .../benchmark_diiid_kinetic_stability.jl      |   4 +-
 benchmarks/benchmark_riccati_der.jl           |   4 +-
 .../benchmark_solovev_kinetic_stability.jl    |  34 +-
 benchmarks/benchmark_threads.jl               |   4 +-
 benchmarks/compare_gal_vs_el.jl               |   6 +-
 benchmarks/equil_method_comparison.jl         |  20 +-
 benchmarks/equil_numerical_params.jl          |  12 +-
 benchmarks/equil_psihigh_scan.jl              |  31 +-
 benchmarks/equil_psilow_scan.jl               |   8 +-
 benchmarks/equil_spline_comparison.jl         | 342 +++++----
 benchmarks/plot_xi_eigenmode.jl               |   2 +-
 benchmarks/verify_gal_match.jl                |   7 +-
 docs/make.jl                                  |   4 +-
 docs/src/forcing_terms.md                     |   2 +-
 examples/DIIID-like_SLAYER_example/gpec.toml  |   9 +
 .../analyze_example.jl                        |   2 +-
 .../run_imas_example.jl                       |   8 +-
 examples/LAR_beta_scan/run_scan.jl            |  51 +-
 examples/LAR_epsilon_scan/run_scan.jl         |  51 +-
 .../Solovev_ideal_example/analyze_example.jl  |  11 +-
 .../analyze_example.jl                        |  17 +-
 regression-harness/src/database.jl            |  70 +-
 regression-harness/src/env.jl                 |   8 +-
 regression-harness/src/reporter.jl            |   6 +-
 regression-harness/src/types.jl               |   5 +-
 regression-harness/src/utils.jl               |   2 +-
 src/Analysis/Equilibrium.jl                   |  17 +-
 src/Analysis/PerturbedEquilibrium.jl          |  52 +-
 src/Analysis/PerturbedEquilibriumModes.jl     |  53 +-
 src/Equilibrium/AnalyticEquilibrium.jl        | 120 ++--
 src/Equilibrium/DirectEquilibriumArcLength.jl |  11 +-
 src/Equilibrium/Equilibrium.jl                |  44 +-
 src/Equilibrium/EquilibriumTypes.jl           |  35 +-
 src/Equilibrium/GeometryProfiles.jl           |   4 +-
 src/Equilibrium/ReadEquilibrium.jl            |  12 +-
 src/ForceFreeStates/EulerLagrange.jl          |  48 +-
 .../Galerkin/GalerkinAssembly.jl              |  19 +-
 src/ForceFreeStates/Galerkin/GalerkinGrid.jl  |   2 +-
 src/ForceFreeStates/Galerkin/GalerkinSolve.jl |   4 +-
 src/ForceFreeStates/Resist.jl                 |  52 +-
 src/ForceFreeStates/ResistEval.jl             |  85 +--
 src/ForceFreeStates/Riccati.jl                | 423 +++++------
 src/ForceFreeStates/Sing.jl                   |   8 +-
 src/ForcingTerms/BiotSavart.jl                |  63 +-
 src/ForcingTerms/CoilGeometry.jl              |  12 +-
 .../coil_geometries/jet_ex_mid.dat            | 338 ++++-----
 src/ForcingTerms/coil_geometries/jtext_l.dat  | 162 ++---
 src/ForcingTerms/coil_geometries/jtext_m.dat  | 162 ++---
 src/ForcingTerms/coil_geometries/jtext_u.dat  | 162 ++---
 .../coil_geometries/mastu_efcc.dat            | 338 ++++-----
 .../coil_geometries/mastu_rmpl.dat            | 674 +++++++++---------
 .../coil_geometries/mastu_rmpu.dat            | 338 ++++-----
 src/HDF5Schema.jl                             |  19 +-
 src/InnerLayer/GGJ/Ray.jl                     |   2 -
 src/InnerLayer/InnerLayerInterface.jl         |   8 +-
 src/InnerLayer/SLAYER/LayerInputs.jl          |   9 +
 src/InnerLayer/SLAYER/LayerParameters.jl      |  50 +-
 src/KineticForces/BounceAveraging.jl          | 155 ++--
 src/KineticForces/EnergyIntegration.jl        |  50 +-
 src/KineticForces/KineticForces.jl            |   4 +-
 src/KineticForces/KineticForcesStructs.jl     |  83 ++-
 src/KineticForces/Output.jl                   |  12 +-
 src/KineticForces/PitchIntegration.jl         |  68 +-
 src/KineticForces/Torque.jl                   | 259 +++----
 src/KineticForces/Utils.jl                    |   4 +-
 src/LocalStability/Ballooning.jl              |  48 +-
 .../FieldReconstruction.jl                    |  10 +-
 .../PerturbedEquilibriumStructs.jl            |  21 +-
 src/PerturbedEquilibrium/Utils.jl             | 104 +--
 src/Rerun.jl                                  |  19 +-
 .../CriticalResonantField.jl                  |   4 +-
 .../CriticalResonantField/TorqueBalance.jl    | 116 ++-
 .../CriticalResonantField/bcrit_dev.ipynb     | 402 ++++-------
 src/Tearing/Dispersion/BruteForceScan.jl      |  22 +-
 src/Tearing/Dispersion/ContourSearchAMR.jl    |   4 +-
 src/Tearing/Dispersion/CoupledFullMatch.jl    |   2 +-
 .../Dispersion/GrowthRateExtraction.jl        |   8 +-
 src/Tearing/Runner/Control.jl                 |  41 ++
 src/Tearing/Runner/HDF5Output.jl              |  34 +-
 src/Tearing/Runner/Result.jl                  |  40 +-
 src/Tearing/Runner/Runner.jl                  |   9 +-
 src/Tearing/Runner/run_slayer.jl              |  79 ++
 src/Tearing/Tearing.jl                        |   2 +
 src/Utilities/GridUtilities.jl                |  24 +-
 src/Utilities/HDF5Annotations.jl              |   3 +-
 src/Utilities/PhysicalConstants.jl            |   8 +-
 src/Vacuum/PnQuadCache.jl                     |  18 +-
 test/runtests_coordinate_invariant.jl         |  30 +-
 test/runtests_dispersion_amr.jl               |  74 +-
 test/runtests_dispersion_coupled.jl           |  64 +-
 test/runtests_dispersion_coupled_full.jl      |   2 +-
 test/runtests_dispersion_polish.jl            |   4 +-
 test/runtests_dispersion_residual.jl          |  24 +-
 test/runtests_dispersion_scan.jl              |  42 +-
 test/runtests_equil.jl                        |  22 +-
 test/runtests_eulerlagrange.jl                |   2 +-
 test/runtests_imas.jl                         |  34 +-
 test/runtests_kinetic.jl                      |   8 +-
 test/runtests_parallel_integration.jl         |  63 +-
 test/runtests_rerun_from_h5.jl                |   6 +-
 test/runtests_riccati.jl                      |   4 +-
 test/runtests_sing.jl                         |  16 +-
 test/runtests_tj_analytic.jl                  |  46 +-
 108 files changed, 3299 insertions(+), 2998 deletions(-)

diff --git a/Project.toml b/Project.toml
index fe2f324d5..658824c00 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "GeneralizedPerturbedEquilibrium"
 uuid = "462872dd-e066-4d2e-b993-6468b5239634"
 license = "MIT"
-authors = ["Nikolas Logan <ncl2128@columbia.edu>", "Jong-Kyu Park <jkpark@snu.ac.kr>", "Matthew Pharr <m.pharr@protonmail.com>", "Jacob Halpern <jmh2363@columbia.edu>", "Rithik Banerjee <rb3736@columbia.edu>", "Jaebeom Cho <aspire1019@snu.ac.kr>", "Daniel Burgess <dab2245@columbia.edu>", "Min-Gu Yoo <yoom@fusion.gat.com>"]
+authors = ["Nikolas Logan <ncl2128@columbia.edu>", "Jong-Kyu Park <jkpark@snu.ac.kr>", "Matthew Pharr <m.pharr@protonmail.com>", "Jacob Halpern <jmh2363@columbia.edu>", "Rithik Banerjee <rb3736@columbia.edu>", "Jaebeom Cho <aspire1019@snu.ac.kr>", "Daniel Burgess <dab2245@columbia.edu>", "Min-Gu Yoo <yoom@fusion.gat.com>","Evan Bursch <emb2333@columbia.edu>"]
 version = "0.1.0"
 
 [deps]
@@ -69,5 +69,3 @@ Statistics = "1"
 TOML = "1"
 Test = "1"
 julia = "1.11"
-
-
diff --git a/benchmarks/benchmark_against_fortran_run.jl b/benchmarks/benchmark_against_fortran_run.jl
index 6116a8058..42618bb47 100644
--- a/benchmarks/benchmark_against_fortran_run.jl
+++ b/benchmarks/benchmark_against_fortran_run.jl
@@ -109,7 +109,7 @@ end
 
 function _find_indexed2_float(text::String, name::String, i::Int, j::Int; default=nothing)
     m = match(Regex(
-            "\\b$(name)\\s*\\(\\s*$(i)\\s*,\\s*$(j)\\s*\\)\\s*=\\s*([+-]?[\\d.]+(?:[eE][+-]?\\d+)?)", "i"),
+        "\\b$(name)\\s*\\(\\s*$(i)\\s*,\\s*$(j)\\s*\\)\\s*=\\s*([+-]?[\\d.]+(?:[eE][+-]?\\d+)?)", "i"),
         text)
     isnothing(m) ? default : parse(Float64, m.captures[1])
 end
@@ -548,8 +548,8 @@ function compare_phix(
 
     grid = ForcingTerms.sample_boundary_grid(equil, p.mtheta_coil, p.nzeta_coil; psi=psilim)
     nobs = p.mtheta_coil * p.nzeta_coil
-    obs_R = zeros(nobs);
-    obs_phi = zeros(nobs);
+    obs_R = zeros(nobs)
+    obs_phi = zeros(nobs)
     obs_Z = zeros(nobs)
     for j in 1:p.nzeta_coil, i in 1:p.mtheta_coil
         idx = i + (j - 1) * p.mtheta_coil
@@ -557,8 +557,8 @@ function compare_phix(
         obs_phi[idx] = grid.phi_grid[j] + grid.phi_offset[i]
         obs_Z[idx] = grid.Z[i]
     end
-    B_R = zeros(nobs);
-    B_phi = zeros(nobs);
+    B_R = zeros(nobs)
+    B_phi = zeros(nobs)
     B_Z = zeros(nobs)
     ForcingTerms.compute_biot_savart_boundary!(B_R, B_phi, B_Z, obs_R, obs_phi, obs_Z, coil_sets)
     bn = zeros(p.mtheta_coil, p.nzeta_coil)
@@ -639,9 +639,9 @@ function build_comparison_table(fort, julia, fortran_dir, bench_dir, nn)
     push!(lines, "")
 
     push!(lines, "--- Mercier Criterion ---")
-    fdi = fort["di"];
+    fdi = fort["di"]
     fdr = fort["dr"]
-    jdi = julia["di"];
+    jdi = julia["di"]
     jdr = julia["dr"]
     if !isempty(jdi) && !isempty(fdi)
         jdi_on_fg = [_interp1(jq_psi, jdi, p) for p in fq_psi]
@@ -857,7 +857,7 @@ function build_comparison_table(fort, julia, fortran_dir, bench_dir, nn)
 end
 
 function _interp1(x::AbstractVector, y::AbstractVector, xi::Real)
-    n = length(x);
+    n = length(x)
     n < 2 && return y[1]
     xi <= x[1] && return y[1]
     xi >= x[end] && return y[end]
@@ -1451,15 +1451,15 @@ function main(argv=ARGS)
     println()
     table_lines = build_comparison_table(fort, julia, fortran_dir, bench_dir, p.nn)
     for line in table_lines
-        ;
-        println(line);
+
+        println(line)
     end
 
     table_path = joinpath(bench_dir, "comparison_table.txt")
     open(table_path, "w") do io
         for line in table_lines
-            ;
-            println(io, line);
+
+            println(io, line)
         end
     end
     println("\nComparison table saved to: ", abspath(table_path))
diff --git a/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl b/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
index 22e2b1938..e6c9b60cf 100644
--- a/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
+++ b/benchmarks/benchmark_coil_ForcingTerms_against_fortran.jl
@@ -25,7 +25,7 @@ using NCDatasets
 using Plots
 using Printf
 
-const OUTPUT_DIR  = joinpath(@__DIR__, "coil_pipeline")
+const OUTPUT_DIR = joinpath(@__DIR__, "coil_pipeline")
 const COIL_DAT_DIR = joinpath(@__DIR__, "..", "src", "ForcingTerms", "coil_geometries")
 
 # ---------------------------------------------------------------------------
@@ -89,38 +89,38 @@ end
 
 function parse_fortran_run(dir::String)::FortranRunParams
     equil_file = joinpath(dir, "equil.in")
-    dcon_file  = joinpath(dir, "dcon.in")
-    coil_file  = joinpath(dir, "coil.in")
+    dcon_file = joinpath(dir, "dcon.in")
+    coil_file = joinpath(dir, "coil.in")
 
     isfile(equil_file) || error("equil.in not found in $dir")
-    isfile(dcon_file)  || error("dcon.in not found in $dir")
-    isfile(coil_file)  || error("coil.in not found in $dir")
+    isfile(dcon_file) || error("dcon.in not found in $dir")
+    isfile(coil_file) || error("coil.in not found in $dir")
 
-    eq_text   = _strip_fortran_comments(read(equil_file, String))
-    dcon_text = _strip_fortran_comments(read(dcon_file,  String))
-    coil_text = _strip_fortran_comments(read(coil_file,  String))
+    eq_text = _strip_fortran_comments(read(equil_file, String))
+    dcon_text = _strip_fortran_comments(read(dcon_file, String))
+    coil_text = _strip_fortran_comments(read(coil_file, String))
 
     # Equilibrium parameters
-    eq_type   = _find_string(eq_text, "eq_type";   default="efit")
-    eq_file   = _find_string(eq_text, "eq_filename"; default="")
-    jac_type  = _find_string(eq_text, "jac_type";  default="hamada")
-    psilow    = _find_scalar(eq_text, "psilow";    default=1e-4)
-    psihigh   = _find_scalar(eq_text, "psihigh";   default=0.99)
-    mtheta_eq = _find_int(eq_text,    "mtheta";    default=256)
+    eq_type = _find_string(eq_text, "eq_type"; default="efit")
+    eq_file = _find_string(eq_text, "eq_filename"; default="")
+    jac_type = _find_string(eq_text, "jac_type"; default="hamada")
+    psilow = _find_scalar(eq_text, "psilow"; default=1e-4)
+    psihigh = _find_scalar(eq_text, "psihigh"; default=0.99)
+    mtheta_eq = _find_int(eq_text, "mtheta"; default=256)
     grid_type = _find_string(eq_text, "grid_type"; default="ldp")
 
     # Toroidal mode number and m-range expansion
-    nn          = _find_int(dcon_text, "nn";          default=1)
-    delta_mlow  = _find_int(dcon_text, "delta_mlow";  default=8)
+    nn = _find_int(dcon_text, "nn"; default=1)
+    delta_mlow = _find_int(dcon_text, "delta_mlow"; default=8)
     delta_mhigh = _find_int(dcon_text, "delta_mhigh"; default=8)
 
     # Coil grid parameters
     mtheta_coil = _find_int(coil_text, "cmtheta"; default=480)
-    nzeta_coil  = _find_int(coil_text, "cmzeta";  default=40)
-    machine     = _find_string(coil_text, "machine"; default="d3d")
-    coil_num    = _find_int(coil_text, "coil_num"; default=1)
+    nzeta_coil = _find_int(coil_text, "cmzeta"; default=40)
+    machine = _find_string(coil_text, "machine"; default="d3d")
+    coil_num = _find_int(coil_text, "coil_num"; default=1)
 
-    coil_names    = String[]
+    coil_names = String[]
     coil_currents = Vector{Float64}[]
     for ci in 1:coil_num
         name = _find_indexed_string(coil_text, "coil_name", ci; default="coil$ci")
@@ -135,9 +135,9 @@ function parse_fortran_run(dir::String)::FortranRunParams
     end
 
     return FortranRunParams(eq_type, eq_file, jac_type, psilow, psihigh, mtheta_eq,
-                            grid_type, nn, delta_mlow, delta_mhigh,
-                            mtheta_coil, nzeta_coil, machine,
-                            coil_names, coil_currents)
+        grid_type, nn, delta_mlow, delta_mhigh,
+        mtheta_coil, nzeta_coil, machine,
+        coil_names, coil_currents)
 end
 
 function find_output_nc(dir::String, nn::Int)
@@ -177,16 +177,16 @@ end
 nc_path = find_output_nc(run_dir, p.nn)
 
 # Read Fortran output (psilim and Phi_x spectrum)
-fortran_m      = Int[]
-fortran_Phix   = Float64[]
+fortran_m = Int[]
+fortran_Phix = Float64[]
 fortran_psilim = NaN
 NCDatasets.Dataset(nc_path, "r") do ds
-    global fortran_m      = Int.(ds["m"][:])
+    global fortran_m = Int.(ds["m"][:])
     global fortran_psilim = Float64(ds.attrib["psilim"])
     phi_x_raw = ds["Phi_x"][:, :]   # (mpert, 2); col 1=cos, col 2=sin
-    global fortran_Phix = sqrt.(phi_x_raw[:, 1].^2 .+ phi_x_raw[:, 2].^2)
+    global fortran_Phix = sqrt.(phi_x_raw[:, 1] .^ 2 .+ phi_x_raw[:, 2] .^ 2)
 end
-mlow  = minimum(fortran_m)
+mlow = minimum(fortran_m)
 mhigh = maximum(fortran_m)
 @printf "    Fortran psilim=%.6f,  m=%d:%d\n" fortran_psilim mlow mhigh
 
@@ -196,15 +196,15 @@ mhigh = maximum(fortran_m)
 println("\n[2/4] Loading equilibrium ...")
 t_equil = @elapsed begin
     eq_dict = Dict{String,Any}(
-        "eq_type"      => p.eq_type,
-        "eq_filename"  => p.eq_filename,
-        "jac_type"     => p.jac_type,
-        "psilow"       => p.psilow,
-        "psihigh"      => p.psihigh,
-        "mtheta"       => p.mtheta_equil,
-        "grid_type"    => p.grid_type,
+        "eq_type" => p.eq_type,
+        "eq_filename" => p.eq_filename,
+        "jac_type" => p.jac_type,
+        "psilow" => p.psilow,
+        "psihigh" => p.psihigh,
+        "mtheta" => p.mtheta_equil,
+        "grid_type" => p.grid_type,
         "psi_accuracy" => 0.001,
-        "etol"         => 1e-7,
+        "etol" => 1e-7
     )
     eq_config = Equilibrium.EquilibriumConfig(eq_dict, run_dir)
     equil = Equilibrium.setup_equilibrium(eq_config)
@@ -223,7 +223,7 @@ for (name, currents) in zip(p.coil_names, p.coil_currents)
     isfile(dat_path) || error("Coil geometry file not found: $dat_path")
     raw = read_coil_dat(dat_path)
     push!(coil_sets, CoilSet(raw.name, raw.ncoil, raw.s, raw.nw, raw.nsec,
-                             raw.x, raw.y, raw.z, Float64.(currents[1:raw.ncoil])))
+        raw.x, raw.y, raw.z, Float64.(currents[1:raw.ncoil])))
 end
 for cs in coil_sets
     @printf "    %-10s %d conductors  currents: %s A\n" cs.name cs.ncoil string(round.(cs.currents; digits=1))
@@ -231,18 +231,22 @@ end
 
 julia_modes = ForcingMode[]
 bnd_grid = nothing
-bn       = nothing
-t_biot   = @elapsed begin
+bn = nothing
+t_biot = @elapsed begin
     bnd_grid = sample_boundary_grid(equil, p.mtheta_coil, p.nzeta_coil; psi=fortran_psilim)
     nobs = p.mtheta_coil * p.nzeta_coil
-    obs_R   = zeros(nobs); obs_phi = zeros(nobs); obs_Z = zeros(nobs)
+    obs_R = zeros(nobs)
+    obs_phi = zeros(nobs)
+    obs_Z = zeros(nobs)
     for j in 1:p.nzeta_coil, i in 1:p.mtheta_coil
         idx = i + (j - 1) * p.mtheta_coil
-        obs_R[idx]   = bnd_grid.R[i]
+        obs_R[idx] = bnd_grid.R[i]
         obs_phi[idx] = bnd_grid.phi_grid[j] + bnd_grid.phi_offset[i]
-        obs_Z[idx]   = bnd_grid.Z[i]
+        obs_Z[idx] = bnd_grid.Z[i]
     end
-    B_R = zeros(nobs); B_phi = zeros(nobs); B_Z = zeros(nobs)
+    B_R = zeros(nobs)
+    B_phi = zeros(nobs)
+    B_Z = zeros(nobs)
     compute_biot_savart_boundary!(B_R, B_phi, B_Z, obs_R, obs_phi, obs_Z, coil_sets)
     bn = zeros(p.mtheta_coil, p.nzeta_coil)
     project_normal_flux!(bn, B_R, B_Z, bnd_grid)
@@ -250,7 +254,7 @@ t_biot   = @elapsed begin
 end
 @printf "    Done in %.1f s,  max|Phi_x| = %.3e T·m²\n" t_biot maximum(abs, bn)
 
-julia_m    = [md.m for md in sort(julia_modes; by=md -> md.m)]
+julia_m = [md.m for md in sort(julia_modes; by=md -> md.m)]
 julia_amps = abs.([md.amplitude for md in sort(julia_modes; by=md -> md.m)])
 
 # Print comparison table
@@ -259,7 +263,7 @@ println("    " * "-"^55)
 for (jm, ja) in zip(julia_m, julia_amps)
     k = findfirst(==(jm), fortran_m)
     if !isnothing(k)
-        fp    = fortran_Phix[k]
+        fp = fortran_Phix[k]
         ratio = ja > 1e-40 ? fp / ja : NaN
         @printf "    %3d    %12.4e         %12.4e      %.4f\n" jm ja fp ratio
     end
@@ -272,7 +276,7 @@ println("    Expected ratio ≈ 1.000 for all modes.")
 println("\n[4/4] Generating figure ...")
 
 function step_series(m_vals, amps)
-    m_ext   = [m_vals[1] - 1; m_vals; m_vals[end] + 1]
+    m_ext = [m_vals[1] - 1; m_vals; m_vals[end] + 1]
     amp_ext = [0.0; amps; 0.0]
     return m_ext, amp_ext
 end
@@ -286,19 +290,20 @@ p2 = plot_bn_contour(bn, p.mtheta_coil, p.nzeta_coil; n=p.nn)
 title!(p2, "Normal flux Φₓ(θ, ζ)  at ψ=$(round(fortran_psilim; digits=4))")
 
 # Panel 3: Julia vs Fortran Phi_x spectrum
-jm_ext, ja_ext   = step_series(julia_m, julia_amps)
-fm_ext, fa_ext   = step_series(fortran_m, fortran_Phix)
+jm_ext, ja_ext = step_series(julia_m, julia_amps)
+fm_ext, fa_ext = step_series(fortran_m, fortran_Phix)
 p3 = plot(; xlabel="Poloidal mode m", ylabel="|Phi_x| [T·m²]",
-            title="Spectrum: Julia vs Fortran  (n=$(p.nn))",
-            legend=:topright)
+    title="Spectrum: Julia vs Fortran  (n=$(p.nn))",
+    legend=:topright)
 plot!(p3, jm_ext, ja_ext; seriestype=:steppre, lw=2, color=:blue,
-      label="Julia ψ=$(round(fortran_psilim; digits=4))")
+    label="Julia ψ=$(round(fortran_psilim; digits=4))")
 plot!(p3, fm_ext, fa_ext; seriestype=:steppre, lw=2, color=:orange,
-      linestyle=:dash, label="Fortran Phi_x")
-ylims!(p3, (0, Inf)); xlims!(p3, mlow - 2, mhigh + 2)
+    linestyle=:dash, label="Fortran Phi_x")
+ylims!(p3, (0, Inf));
+xlims!(p3, mlow - 2, mhigh + 2)
 
 # Panel 4: Phi_x / Julia ratio
-ratio_m    = Int[]
+ratio_m = Int[]
 ratio_vals = Float64[]
 for (jm, ja) in zip(julia_m, julia_amps)
     k = findfirst(==(jm), fortran_m)
@@ -308,8 +313,8 @@ for (jm, ja) in zip(julia_m, julia_amps)
     end
 end
 p4 = plot(; xlabel="Poloidal mode m", ylabel="Phi_x / Julia",
-            title="Ratio (flat at 1.0 → correct)",
-            legend=:topright)
+    title="Ratio (flat at 1.0 → correct)",
+    legend=:topright)
 if !isempty(ratio_m)
     scatter!(p4, ratio_m, ratio_vals; color=:blue, label="ratio", markersize=5)
     hline!(p4, [1.0]; color=:red, linestyle=:dash, label="expected = 1.0")
@@ -318,8 +323,8 @@ xlims!(p4, mlow - 2, mhigh + 2)
 
 run_label = basename(run_dir)
 fig = plot(p1, p2, p3, p4;
-           layout=(2, 2), size=(1400, 900),
-           plot_title="$run_label  |  $(p.machine)  n=$(p.nn)  psilim=$(round(fortran_psilim; digits=4))")
+    layout=(2, 2), size=(1400, 900),
+    plot_title="$run_label  |  $(p.machine)  n=$(p.nn)  psilim=$(round(fortran_psilim; digits=4))")
 
 out_png = joinpath(OUTPUT_DIR, "coil_pipeline_$(run_label)_n$(p.nn).png")
 savefig(fig, out_png)
diff --git a/benchmarks/benchmark_delta_prime_methods.jl b/benchmarks/benchmark_delta_prime_methods.jl
index 917e7c9c5..d005eea7e 100644
--- a/benchmarks/benchmark_delta_prime_methods.jl
+++ b/benchmarks/benchmark_delta_prime_methods.jl
@@ -32,8 +32,8 @@ function setup_and_run_solovev()
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     FFS.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/benchmark_diiid_ideal_ntv_torque.jl b/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
index 7da279b91..92b788afc 100644
--- a/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
+++ b/benchmarks/benchmark_diiid_ideal_ntv_torque.jl
@@ -35,7 +35,9 @@ const KF = GPE.KineticForces
 const Eq = GPE.Equilibrium
 const PE = GPE.PerturbedEquilibrium
 
-"Fortran GPEC DIII-D ideal example run directory, from the environment (no on-disk default)."
+"""
+Fortran GPEC DIII-D ideal example run directory, from the environment (no on-disk default).
+"""
 default_fortran_dir() = get(() -> error("Set GPEC_FORTRAN_DIIID, or pass the Fortran run directory as the first argument"),
     ENV, "GPEC_FORTRAN_DIIID")
 
diff --git a/benchmarks/benchmark_diiid_kinetic_stability.jl b/benchmarks/benchmark_diiid_kinetic_stability.jl
index 9ae37b6b3..91ab5b172 100644
--- a/benchmarks/benchmark_diiid_kinetic_stability.jl
+++ b/benchmarks/benchmark_diiid_kinetic_stability.jl
@@ -36,7 +36,9 @@ using GeneralizedPerturbedEquilibrium
 const GPE = GeneralizedPerturbedEquilibrium
 const AnalysisFFS = GPE.Analysis.ForceFreeStates
 
-"Fortran GPEC DIII-D kinetic example run directory, from the environment (no on-disk default)."
+"""
+Fortran GPEC DIII-D kinetic example run directory, from the environment (no on-disk default).
+"""
 default_fortran_dir() = get(() -> error("Set GPEC_FORTRAN_DIIID_DCON, or pass the Fortran run directory as the first argument"),
     ENV, "GPEC_FORTRAN_DIIID_DCON")
 
diff --git a/benchmarks/benchmark_riccati_der.jl b/benchmarks/benchmark_riccati_der.jl
index 6b23c0a81..df083891f 100644
--- a/benchmarks/benchmark_riccati_der.jl
+++ b/benchmarks/benchmark_riccati_der.jl
@@ -33,8 +33,8 @@ function setup_solovev()
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     FFS.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/benchmark_solovev_kinetic_stability.jl b/benchmarks/benchmark_solovev_kinetic_stability.jl
index c942a20c6..43b3ba25d 100644
--- a/benchmarks/benchmark_solovev_kinetic_stability.jl
+++ b/benchmarks/benchmark_solovev_kinetic_stability.jl
@@ -43,10 +43,10 @@ using HDF5
 using GeneralizedPerturbedEquilibrium
 const GPE = GeneralizedPerturbedEquilibrium
 
-const REPO            = normpath(joinpath(@__DIR__, ".."))
-const JULIA_FIXTURE   = joinpath(REPO, "test", "test_data", "regression_solovev_kinetic_calculated")
-const FORTRAN_DCON    = get(ENV, "GPEC_FORTRAN_DCON", "")
-const FORTRAN_SOLDIR  = get(ENV, "GPEC_FORTRAN_SOLDIR", "")
+const REPO = normpath(joinpath(@__DIR__, ".."))
+const JULIA_FIXTURE = joinpath(REPO, "test", "test_data", "regression_solovev_kinetic_calculated")
+const FORTRAN_DCON = get(ENV, "GPEC_FORTRAN_DCON", "")
+const FORTRAN_SOLDIR = get(ENV, "GPEC_FORTRAN_SOLDIR", "")
 
 _p(args...) = (println(stderr, args...); flush(stderr))
 
@@ -90,35 +90,35 @@ function build_matched_fortran_deck(workdir::String)
     end
 
     gpec = TOML.parsefile(joinpath(JULIA_FIXTURE, "gpec.toml"))
-    eq   = gpec["Equilibrium"]
-    ffs  = gpec["ForceFreeStates"]
-    kf   = get(gpec, "KineticForces", Dict{String,Any}())
+    eq = gpec["Equilibrium"]
+    ffs = gpec["ForceFreeStates"]
+    kf = get(gpec, "KineticForces", Dict{String,Any}())
 
     # equil.in — grid + coordinate settings to match the Julia [Equilibrium] block.
     eqin = joinpath(workdir, "equil.in")
-    replace_namelist_value!(eqin, "psilow",  string(eq["psilow"]))
+    replace_namelist_value!(eqin, "psilow", string(eq["psilow"]))
     replace_namelist_value!(eqin, "psihigh", string(eq["psihigh"]))
-    replace_namelist_value!(eqin, "mpsi",    string(eq["mpsi"]))
-    replace_namelist_value!(eqin, "mtheta",  string(eq["mtheta"]))
+    replace_namelist_value!(eqin, "mpsi", string(eq["mpsi"]))
+    replace_namelist_value!(eqin, "mtheta", string(eq["mtheta"]))
 
     # dcon.in — kinetic flags already match; align mode band, edge truncation, n.
     dconin = joinpath(workdir, "dcon.in")
-    replace_namelist_value!(dconin, "nn",          string(ffs["nn_low"]))
-    replace_namelist_value!(dconin, "delta_mlow",  string(get(ffs, "delta_mlow", 0)))
+    replace_namelist_value!(dconin, "nn", string(ffs["nn_low"]))
+    replace_namelist_value!(dconin, "delta_mlow", string(get(ffs, "delta_mlow", 0)))
     replace_namelist_value!(dconin, "delta_mhigh", string(get(ffs, "delta_mhigh", 0)))
-    replace_namelist_value!(dconin, "qlow",        string(ffs["qlow"]))
-    replace_namelist_value!(dconin, "qhigh",       string(ffs["qhigh"]))
+    replace_namelist_value!(dconin, "qlow", string(ffs["qlow"]))
+    replace_namelist_value!(dconin, "qhigh", string(ffs["qhigh"]))
     replace_namelist_value!(dconin, "singfac_min", string(ffs["singfac_min"]))
     # Julia set_psilim_via_dmlim defaults true (sas_flag) with dmlim 0.2.
     replace_namelist_value!(dconin, "sas_flag", "t")
-    replace_namelist_value!(dconin, "dmlim",    "0.2")
+    replace_namelist_value!(dconin, "dmlim", "0.2")
 
     # pentrc.in — bounce harmonics + species; defaults mirror KineticForcesControl.
     pentin = joinpath(workdir, "pentrc.in")
-    replace_namelist_value!(pentin, "nl",     string(get(kf, "nl", 1)))
+    replace_namelist_value!(pentin, "nl", string(get(kf, "nl", 1)))
     replace_namelist_value!(pentin, "nutype", "\"" * string(get(kf, "nutype", "harmonic")) * "\"")
     replace_namelist_value!(pentin, "f0type", "\"" * string(get(kf, "f0type", "maxwellian")) * "\"")
-    replace_namelist_value!(pentin, "nufac",  string(get(kf, "nufac", 1)))
+    replace_namelist_value!(pentin, "nufac", string(get(kf, "nufac", 1)))
     replace_namelist_value!(pentin, "kinetic_file", "\"kinetic.txt\"")
 
     # kinetic.txt — Fortran readtable wants a title line then numeric rows; the
diff --git a/benchmarks/benchmark_threads.jl b/benchmarks/benchmark_threads.jl
index 96e37236a..1abd8a3d4 100644
--- a/benchmarks/benchmark_threads.jl
+++ b/benchmarks/benchmark_threads.jl
@@ -21,8 +21,8 @@ function run_ffs(ex; integrator)
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
     GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
     intr.mlow = min(intr.nlow * equil.params.qmin, 0) - 4 - ctrl.delta_mlow
diff --git a/benchmarks/compare_gal_vs_el.jl b/benchmarks/compare_gal_vs_el.jl
index 98c8e82ef..5b695fb0e 100644
--- a/benchmarks/compare_gal_vs_el.jl
+++ b/benchmarks/compare_gal_vs_el.jl
@@ -43,14 +43,14 @@ xiE = reduce(hcat, (u1[:, :, ip] * cEL for ip in 1:size(u1, 3)))   # (mpert, nE)
 psiGk = psiG
 xiG = reduce(hcat, (gxi[:, :, ip] * w for ip in eachindex(psiG)))    # (mpert, nGk)
 
-ms = mlow .+ (0:mpert-1)
+ms = mlow .+ (0:(mpert-1))
 peak = [maximum(abs, @view xiE[i, :]) for i in 1:mpert]
 order = sortperm(peak; rev=true)
 ndom = min(5, mpert)
 
 # quantitative bulk agreement on the dominant harmonic (linear-interp EL onto gal grid, off rationals/edge)
-lininterp(xq, x, y) = (j = clamp(searchsortedlast(x, xq), 1, length(x) - 1);
-t = (xq - x[j]) / (x[j+1] - x[j]); y[j] * (1 - t) + y[j+1] * t)
+lininterp(xq, x, y) = (j=clamp(searchsortedlast(x, xq), 1, length(x) - 1);
+    t=(xq - x[j]) / (x[j+1] - x[j]); y[j] * (1 - t) + y[j+1] * t)
 idom = order[1]
 inbulk(p) = 0.1 <= p <= 0.92 && all(abs(p - ps) > 8e-3 for ps in sing_psi)
 sel = [ip for ip in eachindex(psiGk) if inbulk(psiGk[ip])]
diff --git a/benchmarks/equil_method_comparison.jl b/benchmarks/equil_method_comparison.jl
index 450423d6a..151dadd72 100644
--- a/benchmarks/equil_method_comparison.jl
+++ b/benchmarks/equil_method_comparison.jl
@@ -21,7 +21,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 psihigh_override = length(ARGS) > 1 ? parse(Float64, ARGS[2]) : nothing
 
 println("=" ^ 65)
@@ -58,10 +58,10 @@ for method in methods
         success = false
     end
     results[method] = Dict(
-        "success"  => success,
-        "pe"       => pe,
-        "runtime"  => (t1 + t2) / 2.0,
-        "config"   => cfg
+        "success" => success,
+        "pe" => pe,
+        "runtime" => (t1 + t2) / 2.0,
+        "config" => cfg
     )
     success && @printf("  Runtime (avg 2 warm): %.3f s\n", (t1 + t2) / 2.0)
 end
@@ -105,7 +105,7 @@ for method in methods
     results[method]["success"] || continue
     Δq = abs.([q_vals[method][i] - efit_q_interp(psi_nodes[i]) for i in 1:length(psi_nodes)])
     @printf("  |q_%s - q_efit| (ψ<0.95): max=%.2e  rms=%.2e\n",
-        method, maximum(Δq[mask_mid]), sqrt(mean(Δq[mask_mid].^2)))
+        method, maximum(Δq[mask_mid]), sqrt(mean(Δq[mask_mid] .^ 2)))
 end
 
 # ─── Roundtrip error ─────────────────────────────────────────────────────────
@@ -123,15 +123,15 @@ for method in methods
     psio = pe.psio
     psi_xs = pe.rzphi_xs
     psi_ys = pe.rzphi_ys
-    mpsi   = length(psi_xs) - 1
+    mpsi = length(psi_xs) - 1
     mtheta = length(psi_ys) - 1
 
     errors = Float64[]
-    for ipsi in 1:5:mpsi+1
+    for ipsi in 1:5:(mpsi+1)
         ψ_target = psi_xs[ipsi]
-        for itheta in 1:8:mtheta+1
+        for itheta in 1:8:(mtheta+1)
             θ = psi_ys[itheta]
-            r2  = pe.rzphi_rsquared((ψ_target, θ))
+            r2 = pe.rzphi_rsquared((ψ_target, θ))
             off = pe.rzphi_offset((ψ_target, θ))
             rfac = sqrt(max(r2, 0.0))
             η = 2π * (θ + off)
diff --git a/benchmarks/equil_numerical_params.jl b/benchmarks/equil_numerical_params.jl
index f80f0f64c..f37376745 100644
--- a/benchmarks/equil_numerical_params.jl
+++ b/benchmarks/equil_numerical_params.jl
@@ -21,26 +21,26 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 function make_config(path, eq_type, mpsi, mtheta)
     raw = TOML.parsefile(path)
     raw["Equilibrium"]["eq_type"] = eq_type
-    raw["Equilibrium"]["mpsi"]    = mpsi
-    raw["Equilibrium"]["mtheta"]  = mtheta
+    raw["Equilibrium"]["mpsi"] = mpsi
+    raw["Equilibrium"]["mtheta"] = mtheta
     return Equilibrium.EquilibriumConfig(raw["Equilibrium"], dirname(path))
 end
 
 function roundtrip_error(pe, raw_profile)
     psi_xs = pe.rzphi_xs
-    psio   = pe.psio
+    psio = pe.psio
     mtheta = length(pe.rzphi_ys) - 1
     errors = Float64[]
     for ipsi in 1:4:length(psi_xs)
         ψ = psi_xs[ipsi]
-        for itheta in 1:8:mtheta+1
+        for itheta in 1:8:(mtheta+1)
             θ = pe.rzphi_ys[itheta]
-            r2  = pe.rzphi_rsquared((ψ, θ))
+            r2 = pe.rzphi_rsquared((ψ, θ))
             off = pe.rzphi_offset((ψ, θ))
             rfac = sqrt(max(r2, 0.0))
             η = 2π * (θ + off)
diff --git a/benchmarks/equil_psihigh_scan.jl b/benchmarks/equil_psihigh_scan.jl
index 56f6e9ec6..99788b281 100644
--- a/benchmarks/equil_psihigh_scan.jl
+++ b/benchmarks/equil_psihigh_scan.jl
@@ -29,7 +29,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics, HDF5
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 psihigh_values = [0.980, 0.985, 0.990, 0.993, 0.995, 0.996, 0.997, 0.998, 0.999, 0.9995, 0.9999, 1.0]
 methods = ["efit", "efit_arclength", "efit_by_inversion"]
@@ -121,9 +121,9 @@ for method in methods
             for ipsi in 1:length(psi_xs)
                 psi_xs[ipsi] < 0.90 && continue
                 ψ = psi_xs[ipsi]
-                for itheta in 1:8:mtheta+1
+                for itheta in 1:8:(mtheta+1)
                     θ = pe.rzphi_ys[itheta]
-                    r2  = pe.rzphi_rsquared((ψ, θ))
+                    r2 = pe.rzphi_rsquared((ψ, θ))
                     off = pe.rzphi_offset((ψ, θ))
                     rfac = sqrt(max(r2, 0.0))
                     η = 2π * (θ + off)
@@ -161,13 +161,16 @@ for method in methods
             isnan(q_at_psihigh) ? -1.0 : q_at_psihigh,
             et1_str)
 
-        push!(rows, (
-            method=method, psihigh=psihigh, success=success, runtime=runtime,
-            roundtrip_max_edge=roundtrip_max_edge,
-            q_mono_violations_edge=q_mono_violations_edge,
-            q_at_psihigh=q_at_psihigh, q_edge_slope=q_edge_slope,
-            et1=et1, error_msg=err_msg
-        ))
+        push!(
+            rows,
+            (
+                method=method, psihigh=psihigh, success=success, runtime=runtime,
+                roundtrip_max_edge=roundtrip_max_edge,
+                q_mono_violations_edge=q_mono_violations_edge,
+                q_at_psihigh=q_at_psihigh, q_edge_slope=q_edge_slope,
+                et1=et1, error_msg=err_msg
+            )
+        )
     end
 end
 
@@ -198,9 +201,11 @@ println("et[1] vs psihigh (free-boundary stability eigenvalue):")
 println("  (positive = stable, negative = unstable)")
 @printf("  %-22s  %s\n", "psihigh", join([@sprintf("%-22s", m) for m in methods]))
 for psihigh in psihigh_values
-    vals = [let r = findfirst(x -> x.method == m && x.psihigh == psihigh, rows)
-                r === nothing || isnan(rows[r].et1) ? "      -" : @sprintf("%+.4f", rows[r].et1)
-            end for m in methods]
+    vals = [
+        let r = findfirst(x -> x.method == m && x.psihigh == psihigh, rows)
+            r === nothing || isnan(rows[r].et1) ? "      -" : @sprintf("%+.4f", rows[r].et1)
+        end for m in methods
+    ]
     @printf("  %-22.4f  %s\n", psihigh, join([@sprintf("%-22s", v) for v in vals]))
 end
 println()
diff --git a/benchmarks/equil_psilow_scan.jl b/benchmarks/equil_psilow_scan.jl
index ff5902b7b..1129d5ee1 100644
--- a/benchmarks/equil_psilow_scan.jl
+++ b/benchmarks/equil_psilow_scan.jl
@@ -19,7 +19,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 using TOML, Printf, Statistics
 
 example_path = length(ARGS) > 0 ? ARGS[1] : joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 psilow_values = [1e-1, 5e-2, 1e-2, 5e-3, 1e-3, 5e-4, 1e-4]
 methods = ["efit", "efit_arclength", "efit_by_inversion"]
@@ -82,7 +82,7 @@ for method in methods
             raw_profile = Equilibrium.read_efit(cfg)
             psi_xs = pe.rzphi_xs
             mtheta = length(pe.rzphi_ys) - 1
-            psio   = pe.psio
+            psio = pe.psio
 
             # q0 extrapolated to axis (linear from innermost two grid points)
             q1 = pe.profiles.q_spline.y[1]
@@ -94,9 +94,9 @@ for method in methods
             for ipsi in 1:length(psi_xs)
                 psi_xs[ipsi] > 0.10 && break
                 ψ = psi_xs[ipsi]
-                for itheta in 1:8:mtheta+1
+                for itheta in 1:8:(mtheta+1)
                     θ = pe.rzphi_ys[itheta]
-                    r2  = pe.rzphi_rsquared((ψ, θ))
+                    r2 = pe.rzphi_rsquared((ψ, θ))
                     off = pe.rzphi_offset((ψ, θ))
                     rfac = sqrt(max(r2, 0.0))
                     η = 2π * (θ + off)
diff --git a/benchmarks/equil_spline_comparison.jl b/benchmarks/equil_spline_comparison.jl
index 4cf5337e2..a0ea0bdc0 100644
--- a/benchmarks/equil_spline_comparison.jl
+++ b/benchmarks/equil_spline_comparison.jl
@@ -27,9 +27,9 @@ using TOML, Printf, Statistics, Plots
 
 # ─── CLI arguments ─────────────────────────────────────────────────────────────
 example_path = length(ARGS) > 0 ? ARGS[1] :
-    joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
+               joinpath(@__DIR__, "../examples/DIIID-like_ideal_example")
 psihigh_arg = length(ARGS) > 1 ? parse(Float64, ARGS[2]) : 0.997
-config_path  = joinpath(example_path, "gpec.toml")
+config_path = joinpath(example_path, "gpec.toml")
 
 println("=" ^ 70)
 println("Equilibrium Spline Comparison: efit / efit_arclength / efit_by_inversion")
@@ -46,38 +46,38 @@ println("Output   : $outdir\n")
 # ─── Config factory ────────────────────────────────────────────────────────────
 function make_config(path::String, eq_type::String, psihigh::Float64)
     raw = TOML.parsefile(path)
-    raw["Equilibrium"]["eq_type"]  = eq_type
+    raw["Equilibrium"]["eq_type"] = eq_type
     raw["Equilibrium"]["psihigh"] = psihigh
     return Equilibrium.EquilibriumConfig(raw["Equilibrium"], dirname(path))
 end
 
 # ─── Load all three equilibria ─────────────────────────────────────────────────
 # efit is the reference; efit_arclength and efit_by_inversion are compared to it.
-ref_method     = "efit"
-compare_methods  = ["efit_arclength", "efit_by_inversion"]
-all_methods      = vcat(ref_method, compare_methods)
+ref_method = "efit"
+compare_methods = ["efit_arclength", "efit_by_inversion"]
+all_methods = vcat(ref_method, compare_methods)
 
 method_color = Dict(
-    "efit"             => :blue,
-    "efit_arclength"   => :darkorange,
-    "efit_by_inversion" => :red,
+    "efit" => :blue,
+    "efit_arclength" => :darkorange,
+    "efit_by_inversion" => :red
 )
 method_style = Dict(
-    "efit"             => :solid,
-    "efit_arclength"   => :dash,
-    "efit_by_inversion" => :dot,
+    "efit" => :solid,
+    "efit_arclength" => :dash,
+    "efit_by_inversion" => :dot
 )
 method_label = Dict(
-    "efit"             => "efit",
-    "efit_arclength"   => "efit_arclength",
-    "efit_by_inversion" => "efit_by_inv",
+    "efit" => "efit",
+    "efit_arclength" => "efit_arclength",
+    "efit_by_inversion" => "efit_by_inv"
 )
 diff_color = Dict(
-    "efit_arclength"   => :darkorange,
-    "efit_by_inversion" => :red,
+    "efit_arclength" => :darkorange,
+    "efit_by_inversion" => :red
 )
 
-pes = Dict{String, Any}()
+pes = Dict{String,Any}()
 for m in all_methods
     println("--- Running: $m ---")
     cfg = make_config(config_path, m, psihigh_arg)
@@ -94,22 +94,26 @@ isempty(failed) || println("Skipping failed methods in comparisons: $(join(faile
 
 haskey(pes, ref_method) || error("Reference method '$ref_method' failed — cannot continue.")
 pe_ref = pes[ref_method]
-all_methods            = filter(m -> haskey(pes, m), all_methods)
+all_methods = filter(m -> haskey(pes, m), all_methods)
 compare_methods_active = filter(m -> haskey(pes, m), compare_methods)
 
 # ─── Helpers ───────────────────────────────────────────────────────────────────
-"Convert (ψ, θ) straight-field-line coordinates → (R, Z) physical coordinates."
+"""
+Convert (ψ, θ) straight-field-line coordinates → (R, Z) physical coordinates.
+"""
 function psi_theta_to_RZ(pe, psi, theta)
-    r2   = pe.rzphi_rsquared((psi, theta))
-    off  = pe.rzphi_offset((psi, theta))
+    r2 = pe.rzphi_rsquared((psi, theta))
+    off = pe.rzphi_offset((psi, theta))
     rfac = sqrt(max(r2, 0.0))
-    η    = 2π * (theta + off)
-    R    = pe.ro + rfac * cos(η)
-    Z    = pe.zo + rfac * sin(η)
+    η = 2π * (theta + off)
+    R = pe.ro + rfac * cos(η)
+    Z = pe.zo + rfac * sin(η)
     return R, Z
 end
 
-"Compute the full (R, Z) trace of each flux surface in psi_vals."
+"""
+Compute the full (R, Z) trace of each flux surface in psi_vals.
+"""
 function flux_surface_RZ(pe, psi_vals, theta_range)
     R_all = [Float64[] for _ in 1:length(psi_vals)]
     Z_all = [Float64[] for _ in 1:length(psi_vals)]
@@ -130,7 +134,7 @@ end
 psi_lo = pe_ref.rzphi_xs[1]
 psi_hi = pe_ref.rzphi_xs[end]
 mpsi_eval = 8 * (length(pe_ref.rzphi_xs) - 1)
-psi_full = psi_lo .+ (psi_hi - psi_lo) .* sin.(range(0.0, 1.0; length=mpsi_eval+1) .* (π/2)).^2
+psi_full = psi_lo .+ (psi_hi - psi_lo) .* sin.(range(0.0, 1.0; length=mpsi_eval+1) .* (π/2)) .^ 2
 
 mask_core = psi_full .< 0.10
 mask_edge = psi_full .> 0.98
@@ -148,16 +152,16 @@ println("1. 1D Profile Comparisons")
 println("=" ^ 70)
 
 profile_specs = [
-    ("F  (2π·R·Bₜ)",  pe -> pe.profiles.F_spline),
-    ("μ₀·P",          pe -> pe.profiles.P_spline),
-    ("dV/dψ",         pe -> pe.profiles.dVdpsi_spline),
-    ("q",             pe -> pe.profiles.q_spline),
+    ("F  (2π·R·Bₜ)", pe -> pe.profiles.F_spline),
+    ("μ₀·P", pe -> pe.profiles.P_spline),
+    ("dV/dψ", pe -> pe.profiles.dVdpsi_spline),
+    ("q", pe -> pe.profiles.q_spline)
 ]
 profile_fnames = ["profile_F", "profile_P", "profile_dVdpsi", "profile_q"]
 
 for (idx, (pname, spl_getter)) in enumerate(profile_specs)
     spl_ref = spl_getter(pe_ref)
-    y_ref   = [spl_ref(ψ) for ψ in psi_full]
+    y_ref = [spl_ref(ψ) for ψ in psi_full]
 
     p_full = plot(psi_full, y_ref; lw=2, color=method_color[ref_method],
         ls=method_style[ref_method], label=method_label[ref_method],
@@ -187,8 +191,8 @@ for (idx, (pname, spl_getter)) in enumerate(profile_specs)
 
     for m in compare_methods_active
         spl_m = spl_getter(pes[m])
-        y_m   = [spl_m(ψ) for ψ in psi_full]
-        Δy    = y_ref .- y_m
+        y_m = [spl_m(ψ) for ψ in psi_full]
+        Δy = y_ref .- y_m
 
         plot!(p_full, psi_full, y_m; lw=1.5, color=method_color[m], ls=method_style[m],
             label=method_label[m])
@@ -227,66 +231,66 @@ z_global_grid = Float64[]
 r_zoom_grid_vis = Float64[]
 z_zoom_grid_vis = Float64[]
 if haskey(pes, "efit_by_inversion")
-let
-    global r_global_grid, z_global_grid, r_zoom_grid_vis, z_zoom_grid_vis
-    cfg_inv   = make_config(config_path, "efit_by_inversion", psihigh_arg)
-    raw_inv   = Equilibrium.read_efit(cfg_inv)
-    ro_g, zo_g = pes["efit_by_inversion"].ro, pes["efit_by_inversion"].zo
-    psio_g    = raw_inv.psio
-    psilow_g  = cfg_inv.psilow
-    topology_g = Equilibrium.classify_topology(raw_inv, psio_g)
-
-    ψ_RR = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(2, 0)))
-    ψ_ZZ = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(0, 2)))
-    a_low_g = min(sqrt(2 * psilow_g * psio_g / ψ_RR), sqrt(2 * psilow_g * psio_g / ψ_ZZ))
-
-    nw_g = length(raw_inv.psi_in_xs)
-    nh_g = length(raw_inv.psi_in_ys)
-    β_r_g, β_z_g = 2.0, 2.0
-    refine_g = 5
-
-    nr_g = max(4, round(Int, refine_g * nw_g))
-    nz_g = max(4, round(Int, refine_g * nh_g))
-    r_g  = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
-    z_g  = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
-
-    iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
-    izo_g = clamp(searchsortedfirst(z_g,  zo_g), 2, length(z_g))
-    dR_ax = r_g[iro_g] - r_g[iro_g - 1]
-    dZ_ax = z_g[izo_g] - z_g[izo_g - 1]
-    sc_r  = max(1, ceil(Int, dR_ax / (0.2 * a_low_g)))
-    sc_z  = max(1, ceil(Int, dZ_ax / (0.2 * a_low_g)))
-    if sc_r > 1
-        nr_g = (nr_g - 1) * sc_r + 1
-        r_g  = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+    let
+        global r_global_grid, z_global_grid, r_zoom_grid_vis, z_zoom_grid_vis
+        cfg_inv = make_config(config_path, "efit_by_inversion", psihigh_arg)
+        raw_inv = Equilibrium.read_efit(cfg_inv)
+        ro_g, zo_g = pes["efit_by_inversion"].ro, pes["efit_by_inversion"].zo
+        psio_g = raw_inv.psio
+        psilow_g = cfg_inv.psilow
+        topology_g = Equilibrium.classify_topology(raw_inv, psio_g)
+
+        ψ_RR = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(2, 0)))
+        ψ_ZZ = abs(raw_inv.psi_in((ro_g, zo_g); deriv=DerivOp(0, 2)))
+        a_low_g = min(sqrt(2 * psilow_g * psio_g / ψ_RR), sqrt(2 * psilow_g * psio_g / ψ_ZZ))
+
+        nw_g = length(raw_inv.psi_in_xs)
+        nh_g = length(raw_inv.psi_in_ys)
+        β_r_g, β_z_g = 2.0, 2.0
+        refine_g = 5
+
+        nr_g = max(4, round(Int, refine_g * nw_g))
+        nz_g = max(4, round(Int, refine_g * nh_g))
+        r_g = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+        z_g = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
+
         iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
-        dR_ax = r_g[iro_g] - r_g[iro_g - 1]
-    end
-    if sc_z > 1
-        nz_g = (nz_g - 1) * sc_z + 1
-        z_g  = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
         izo_g = clamp(searchsortedfirst(z_g, zo_g), 2, length(z_g))
-        dZ_ax = z_g[izo_g] - z_g[izo_g - 1]
+        dR_ax = r_g[iro_g] - r_g[iro_g-1]
+        dZ_ax = z_g[izo_g] - z_g[izo_g-1]
+        sc_r = max(1, ceil(Int, dR_ax / (0.2 * a_low_g)))
+        sc_z = max(1, ceil(Int, dZ_ax / (0.2 * a_low_g)))
+        if sc_r > 1
+            nr_g = (nr_g - 1) * sc_r + 1
+            r_g = Equilibrium.make_stretched_r_grid(raw_inv.rmin, raw_inv.rmax, ro_g, nr_g, β_r_g)
+            iro_g = clamp(searchsortedfirst(r_g, ro_g), 2, length(r_g))
+            dR_ax = r_g[iro_g] - r_g[iro_g-1]
+        end
+        if sc_z > 1
+            nz_g = (nz_g - 1) * sc_z + 1
+            z_g = Equilibrium.make_stretched_z_grid(raw_inv.zmin, raw_inv.zmax, zo_g, nz_g, topology_g, β_z_g)
+            izo_g = clamp(searchsortedfirst(z_g, zo_g), 2, length(z_g))
+            dZ_ax = z_g[izo_g] - z_g[izo_g-1]
+        end
+        r_global_grid = r_g
+        z_global_grid = z_g
+
+        d_max_g = max(dR_ax, dZ_ax)
+        threshold_g = (10 * d_max_g)^2 * max(ψ_RR, ψ_ZZ) / (2 * psio_g)
+        psi_zoom_max = 9 * threshold_g
+        a_zoom_r = sqrt(2 * psi_zoom_max * psio_g / ψ_RR) * 1.2
+        a_zoom_z = sqrt(2 * psi_zoom_max * psio_g / ψ_ZZ) * 1.2
+        sinh_β = sinh(β_r_g)
+        nr_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_r * 10 / (sinh_β * a_low_g)))
+        nz_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_z * 10 / (sinh_β * a_low_g)))
+        r_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
+            max(raw_inv.rmin, ro_g - a_zoom_r), min(raw_inv.rmax, ro_g + a_zoom_r),
+            ro_g, nr_z, β_r_g)
+        z_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
+            max(raw_inv.zmin, zo_g - a_zoom_z), min(raw_inv.zmax, zo_g + a_zoom_z),
+            zo_g, nz_z, β_r_g)
+        println("  Grid vis: global $(nr_g)×$(nz_g), zoom $(nr_z)×$(nz_z)")
     end
-    r_global_grid = r_g
-    z_global_grid = z_g
-
-    d_max_g      = max(dR_ax, dZ_ax)
-    threshold_g  = (10 * d_max_g)^2 * max(ψ_RR, ψ_ZZ) / (2 * psio_g)
-    psi_zoom_max = 9 * threshold_g
-    a_zoom_r = sqrt(2 * psi_zoom_max * psio_g / ψ_RR) * 1.2
-    a_zoom_z = sqrt(2 * psi_zoom_max * psio_g / ψ_ZZ) * 1.2
-    sinh_β   = sinh(β_r_g)
-    nr_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_r * 10 / (sinh_β * a_low_g)))
-    nz_z = max(200, ceil(Int, 8 * β_r_g * a_zoom_z * 10 / (sinh_β * a_low_g)))
-    r_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
-        max(raw_inv.rmin, ro_g - a_zoom_r), min(raw_inv.rmax, ro_g + a_zoom_r),
-        ro_g, nr_z, β_r_g)
-    z_zoom_grid_vis = Equilibrium.make_stretched_r_grid(
-        max(raw_inv.zmin, zo_g - a_zoom_z), min(raw_inv.zmax, zo_g + a_zoom_z),
-        zo_g, nz_z, β_r_g)
-    println("  Grid vis: global $(nr_g)×$(nz_g), zoom $(nr_z)×$(nz_z)")
-end
 end  # haskey(pes, "efit_by_inversion")
 
 # ═══════════════════════════════════════════════════════════════════════════════
@@ -296,7 +300,7 @@ println("\n" * "=" ^ 70)
 println("2. Flux Surface Contour Overlays")
 println("=" ^ 70)
 
-psi_contours  = collect(range(psi_lo, psi_hi; length=20))
+psi_contours = collect(range(psi_lo, psi_hi; length=20))
 theta_contour = range(0.0, 1.0; length=256)
 
 R_fs = Dict(m => flux_surface_RZ(pes[m], psi_contours, theta_contour) for m in all_methods)
@@ -305,7 +309,7 @@ p_ctr_full = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Flux surfaces: all methods  (psihigh=$psihigh_arg)")
 p_ctr_core = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Deep core zoom (innermost 4 surfaces)")
-p_ctr_xpt  = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
+p_ctr_xpt = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Far edge / x-point zoom (outermost 3 surfaces)")
 
 for m in all_methods
@@ -322,7 +326,7 @@ for m in all_methods
             ls=method_style[m], lw=1.5, label=lbl)
     end
     n_outer = length(psi_contours)
-    for k in (n_outer - 2):n_outer
+    for k in (n_outer-2):n_outer
         lbl = k == n_outer - 2 ? method_label[m] : ""
         plot!(p_ctr_xpt, Rs[k], Zs[k]; color=method_color[m],
             ls=method_style[m], lw=1.5, label=lbl)
@@ -332,45 +336,47 @@ end
 # Grid overplots: scatter subsampled grid points on each panel (only if efit_by_inversion ran).
 # Global grid: every 20th R × 12th Z (grey).  Zoom grid: every 3rd R × 3rd Z (darkgrey).
 if !isempty(r_global_grid)
-let
-    step_rg, step_zg = 20, 12
-    Rg = [r_global_grid[ir] for ir in 1:step_rg:length(r_global_grid)
-                             for _  in 1:step_zg:length(z_global_grid)]
-    Zg = [z_global_grid[iz] for _  in 1:step_rg:length(r_global_grid)
-                             for iz in 1:step_zg:length(z_global_grid)]
-    scatter!(p_ctr_full, Rg, Zg; ms=0.8, color=:grey, alpha=0.25,
-        markerstrokewidth=0, label="global grid")
-
-    step_rz, step_zz = 3, 3
-    Rz = [r_zoom_grid_vis[ir] for ir in 1:step_rz:length(r_zoom_grid_vis)
-                               for _  in 1:step_zz:length(z_zoom_grid_vis)]
-    Zz = [z_zoom_grid_vis[iz] for _  in 1:step_rz:length(r_zoom_grid_vis)
-                               for iz in 1:step_zz:length(z_zoom_grid_vis)]
-    scatter!(p_ctr_full, Rz, Zz; ms=0.8, color=:darkgrey, alpha=0.4,
-        markerstrokewidth=0, label="zoom grid")
-
-    # Core panel: show both grids at full density within the core zoom region
-    scatter!(p_ctr_core, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
-        markerstrokewidth=0, label="global grid")
-    scatter!(p_ctr_core, Rz, Zz; ms=1.2, color=:darkgrey, alpha=0.5,
-        markerstrokewidth=0, label="zoom grid")
-
-    # X-point panel: global grid only (zoom doesn't extend there)
-    scatter!(p_ctr_xpt, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
-        markerstrokewidth=0, label="global grid")
-end
+    let
+        step_rg, step_zg = 20, 12
+        Rg = [r_global_grid[ir] for ir in 1:step_rg:length(r_global_grid)
+              for _ in 1:step_zg:length(z_global_grid)]
+        Zg = [z_global_grid[iz] for _ in 1:step_rg:length(r_global_grid)
+              for iz in 1:step_zg:length(z_global_grid)]
+        scatter!(p_ctr_full, Rg, Zg; ms=0.8, color=:grey, alpha=0.25,
+            markerstrokewidth=0, label="global grid")
+
+        step_rz, step_zz = 3, 3
+        Rz = [r_zoom_grid_vis[ir] for ir in 1:step_rz:length(r_zoom_grid_vis)
+              for _ in 1:step_zz:length(z_zoom_grid_vis)]
+        Zz = [z_zoom_grid_vis[iz] for _ in 1:step_rz:length(r_zoom_grid_vis)
+              for iz in 1:step_zz:length(z_zoom_grid_vis)]
+        scatter!(p_ctr_full, Rz, Zz; ms=0.8, color=:darkgrey, alpha=0.4,
+            markerstrokewidth=0, label="zoom grid")
+
+        # Core panel: show both grids at full density within the core zoom region
+        scatter!(p_ctr_core, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
+            markerstrokewidth=0, label="global grid")
+        scatter!(p_ctr_core, Rz, Zz; ms=1.2, color=:darkgrey, alpha=0.5,
+            markerstrokewidth=0, label="zoom grid")
+
+        # X-point panel: global grid only (zoom doesn't extend there)
+        scatter!(p_ctr_xpt, Rg, Zg; ms=1.2, color=:grey, alpha=0.3,
+            markerstrokewidth=0, label="global grid")
+    end
 end  # !isempty(r_global_grid)
 
 # Set zoom limits for core and x-point panels using the reference method
 Rc, Zc = R_fs[ref_method]
 n_core = 4
-all_R_c = vcat(Rc[1:n_core]...); all_Z_c = vcat(Zc[1:n_core]...)
+all_R_c = vcat(Rc[1:n_core]...);
+all_Z_c = vcat(Zc[1:n_core]...)
 pad = 0.03
 xlims!(p_ctr_core, minimum(all_R_c) - pad, maximum(all_R_c) + pad)
 ylims!(p_ctr_core, minimum(all_Z_c) - pad, maximum(all_Z_c) + pad)
 
 n_outer = length(psi_contours)
-all_R_e = vcat(Rc[(n_outer-2):n_outer]...); all_Z_e = vcat(Zc[(n_outer-2):n_outer]...)
+all_R_e = vcat(Rc[(n_outer-2):n_outer]...);
+all_Z_e = vcat(Zc[(n_outer-2):n_outer]...)
 xpt_idx = argmin(all_Z_e)
 xlims!(p_ctr_xpt, all_R_e[xpt_idx] - 0.20, all_R_e[xpt_idx] + 0.20)
 ylims!(p_ctr_xpt, all_Z_e[xpt_idx] - 0.05, all_Z_e[xpt_idx] + 0.40)
@@ -388,7 +394,7 @@ p_tht_full = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="θ = const lines: all methods  (psihigh=$psihigh_arg)")
 p_tht_core = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Deep core zoom")
-p_tht_xpt  = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
+p_tht_xpt = plot(; aspect_ratio=:equal, xlabel="R [m]", ylabel="Z [m]",
     title="Far edge / x-point zoom")
 
 for m in all_methods
@@ -402,14 +408,14 @@ for m in all_methods
         Zs = [psi_theta_to_RZ(pe, ψ, θ)[2] for ψ in psi_dense]
         plot!(p_tht_full, Rs, Zs; color=method_color[m], ls=method_style[m], lw=0.9, alpha=0.7, label=lbl)
         plot!(p_tht_core, Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
-        plot!(p_tht_xpt,  Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
+        plot!(p_tht_xpt, Rs, Zs; color=method_color[m], ls=method_style[m], lw=1.5, label=lbl)
     end
     # Grid dots at every (ψ_i, θ_j) intersection — by construction on the lines above
     Rg = [psi_theta_to_RZ(pe, ψ, θ)[1] for ψ in pe.rzphi_xs for θ in θ_sub]
     Zg = [psi_theta_to_RZ(pe, ψ, θ)[2] for ψ in pe.rzphi_xs for θ in θ_sub]
     scatter!(p_tht_full, Rg, Zg; ms=1.5, color=method_color[m], alpha=0.5, markerstrokewidth=0, label="")
     scatter!(p_tht_core, Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
-    scatter!(p_tht_xpt,  Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
+    scatter!(p_tht_xpt, Rg, Zg; ms=2.0, color=method_color[m], alpha=0.6, markerstrokewidth=0, label="")
 end
 
 xlims!(p_tht_core, minimum(all_R_c) - pad, maximum(all_R_c) + pad)
@@ -430,16 +436,16 @@ println("3. 2D rzphi Geometric Spline Profiles at Select θ Values")
 println("=" ^ 70)
 
 rzphi_specs = [
-    ("r²=(R-R₀)²+(Z-Z₀)²",  pe -> ((ψ, θ) -> pe.rzphi_rsquared((ψ, θ)))),
+    ("r²=(R-R₀)²+(Z-Z₀)²", pe -> ((ψ, θ) -> pe.rzphi_rsquared((ψ, θ)))),
     ("angle offset  η/2π−θ", pe -> ((ψ, θ) -> pe.rzphi_offset((ψ, θ)))),
-    ("ν  (toroidal shift)",  pe -> ((ψ, θ) -> pe.rzphi_nu((ψ, θ)))),
-    ("Jacobian",             pe -> ((ψ, θ) -> pe.rzphi_jac((ψ, θ)))),
+    ("ν  (toroidal shift)", pe -> ((ψ, θ) -> pe.rzphi_nu((ψ, θ)))),
+    ("Jacobian", pe -> ((ψ, θ) -> pe.rzphi_jac((ψ, θ))))
 ]
 rzphi_fnames = ["rzphi_rsquared", "rzphi_angle_offset", "rzphi_nu", "rzphi_jacobian"]
 
 for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
-    fn_ref  = fn_getter(pe_ref)
-    yd_all  = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
+    fn_ref = fn_getter(pe_ref)
+    yd_all = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
 
     p_full = plot(; xlabel="ψ", ylabel=sname, legend=:best, xlims=(0, 1),
         title="$sname — full domain  (psihigh=$psihigh_arg)")
@@ -454,20 +460,25 @@ for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
         plot!(p_full, psi_full, yd; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_core, psi_full[mask_core], yd[mask_core]; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_edge, t_edge_full, yd[mask_edge]; color=tc, lw=2, label="efit θ=$(θ)")
-        xs = pe_ref.rzphi_xs; ys = [fn_ref(ψ, θ) for ψ in xs]
+        xs = pe_ref.rzphi_xs
+        ys = [fn_ref(ψ, θ) for ψ in xs]
         scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-        let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-        let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+        let mask = xs .< 0.10
+            scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
+        let mask = xs .> 0.98
+            scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
     end
 
     println("  $sname:")
     for m in compare_methods_active
-        fn_m   = fn_getter(pes[m])
+        fn_m = fn_getter(pes[m])
         yi_all = [[fn_m(ψ, θ) for ψ in psi_full] for θ in theta_select]
         for (tidx, θ) in enumerate(theta_select)
             tc = theta_colors[tidx]
             yi = yi_all[tidx]
-            Δ  = yd_all[tidx] .- yi
+            Δ = yd_all[tidx] .- yi
             plot!(p_full, psi_full, yi; color=tc, lw=1.2, ls=method_style[m],
                 label="$(method_label[m]) θ=$(θ)")
             plot!(p_core, psi_full[mask_core], yi[mask_core]; color=tc, lw=1.2,
@@ -476,10 +487,15 @@ for (sidx, (sname, fn_getter)) in enumerate(rzphi_specs)
                 ls=method_style[m], label="$(method_label[m]) θ=$(θ)")
             plot!(p_diff, psi_full, Δ; color=tc, lw=1.2, ls=method_style[m],
                 label="(efit−$(method_label[m])) θ=$(θ)")
-            xs = pes[m].rzphi_xs; ys = [fn_m(ψ, θ) for ψ in xs]
+            xs = pes[m].rzphi_xs
+            ys = [fn_m(ψ, θ) for ψ in xs]
             scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-            let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-            let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+            let mask = xs .< 0.10
+                scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
+            let mask = xs .> 0.98
+                scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
 
             Δc = any(mask_core) ? Δ[mask_core] : [0.0]
             Δe = any(mask_edge) ? Δ[mask_edge] : [0.0]
@@ -501,15 +517,15 @@ println("4. Physics (eqfun) Spline Profiles at Select θ Values")
 println("=" ^ 70)
 
 eqfun_specs = [
-    ("|B| (total field [T])",          pe -> ((ψ, θ) -> pe.eqfun_B((ψ, θ)))),
+    ("|B| (total field [T])", pe -> ((ψ, θ) -> pe.eqfun_B((ψ, θ)))),
     ("metric1  (e₁·e₂+q·e₃·e₁)/JB²", pe -> ((ψ, θ) -> pe.eqfun_metric1((ψ, θ)))),
-    ("metric2  (e₂·e₃+q·e₃²)/JB²",   pe -> ((ψ, θ) -> pe.eqfun_metric2((ψ, θ)))),
+    ("metric2  (e₂·e₃+q·e₃²)/JB²", pe -> ((ψ, θ) -> pe.eqfun_metric2((ψ, θ))))
 ]
 eqfun_fnames = ["eqfun_Bmag", "eqfun_metric1", "eqfun_metric2"]
 
 for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
-    fn_ref  = fn_getter(pe_ref)
-    yd_all  = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
+    fn_ref = fn_getter(pe_ref)
+    yd_all = [[fn_ref(ψ, θ) for ψ in psi_full] for θ in theta_select]
 
     p_full = plot(; xlabel="ψ", ylabel=ename, legend=:best, xlims=(0, 1),
         title="$ename — full domain  (psihigh=$psihigh_arg)")
@@ -524,20 +540,25 @@ for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
         plot!(p_full, psi_full, yd; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_core, psi_full[mask_core], yd[mask_core]; color=tc, lw=2, label="efit θ=$(θ)")
         plot!(p_edge, t_edge_full, yd[mask_edge]; color=tc, lw=2, label="efit θ=$(θ)")
-        xs = pe_ref.rzphi_xs; ys = [fn_ref(ψ, θ) for ψ in xs]
+        xs = pe_ref.rzphi_xs
+        ys = [fn_ref(ψ, θ) for ψ in xs]
         scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-        let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-        let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+        let mask = xs .< 0.10
+            scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
+        let mask = xs .> 0.98
+            scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+        end
     end
 
     println("  $ename:")
     for m in compare_methods_active
-        fn_m   = fn_getter(pes[m])
+        fn_m = fn_getter(pes[m])
         yi_all = [[fn_m(ψ, θ) for ψ in psi_full] for θ in theta_select]
         for (tidx, θ) in enumerate(theta_select)
             tc = theta_colors[tidx]
             yi = yi_all[tidx]
-            Δ  = yd_all[tidx] .- yi
+            Δ = yd_all[tidx] .- yi
             plot!(p_full, psi_full, yi; color=tc, lw=1.2, ls=method_style[m],
                 label="$(method_label[m]) θ=$(θ)")
             plot!(p_core, psi_full[mask_core], yi[mask_core]; color=tc, lw=1.2,
@@ -546,10 +567,15 @@ for (eidx, (ename, fn_getter)) in enumerate(eqfun_specs)
                 ls=method_style[m], label="$(method_label[m]) θ=$(θ)")
             plot!(p_diff, psi_full, Δ; color=tc, lw=1.2, ls=method_style[m],
                 label="(efit−$(method_label[m])) θ=$(θ)")
-            xs = pes[m].rzphi_xs; ys = [fn_m(ψ, θ) for ψ in xs]
+            xs = pes[m].rzphi_xs
+            ys = [fn_m(ψ, θ) for ψ in xs]
             scatter!(p_full, xs, ys; ms=3, markerstrokewidth=0, color=tc, label="")
-            let mask = xs .< 0.10; scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
-            let mask = xs .> 0.98; scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="") end
+            let mask = xs .< 0.10
+                scatter!(p_core, xs[mask], ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
+            let mask = xs .> 0.98
+                scatter!(p_edge, -log.(1.0 .- xs[mask]), ys[mask]; ms=3, markerstrokewidth=0, color=tc, label="")
+            end
 
             Δc = any(mask_core) ? Δ[mask_core] : [0.0]
             Δe = any(mask_edge) ? Δ[mask_edge] : [0.0]
@@ -580,13 +606,13 @@ function row_int(label, vals)
     @printf("  %-22s  %s\n", label, join([@sprintf("%18d", v) for v in vals]))
 end
 
-row("ro [m]",       [pes[m].ro    for m in all_methods])
-row("zo [m]",       [pes[m].zo    for m in all_methods])
-row("psio [Wb/rad]",[pes[m].psio  for m in all_methods])
-row("psilow",       [pes[m].rzphi_xs[1]   for m in all_methods])
-row("psihigh",      [pes[m].rzphi_xs[end] for m in all_methods])
-row("q(psilow)",    [pes[m].profiles.q_spline(pes[m].rzphi_xs[1])   for m in all_methods])
-row("q(psihigh)",   [pes[m].profiles.q_spline(pes[m].rzphi_xs[end]) for m in all_methods])
+row("ro [m]", [pes[m].ro for m in all_methods])
+row("zo [m]", [pes[m].zo for m in all_methods])
+row("psio [Wb/rad]", [pes[m].psio for m in all_methods])
+row("psilow", [pes[m].rzphi_xs[1] for m in all_methods])
+row("psihigh", [pes[m].rzphi_xs[end] for m in all_methods])
+row("q(psilow)", [pes[m].profiles.q_spline(pes[m].rzphi_xs[1]) for m in all_methods])
+row("q(psihigh)", [pes[m].profiles.q_spline(pes[m].rzphi_xs[end]) for m in all_methods])
 
 q_profiles = Dict(m => [pes[m].profiles.q_spline(ψ) for ψ in psi_full] for m in all_methods)
 row_int("q non-mono (edge)",
diff --git a/benchmarks/plot_xi_eigenmode.jl b/benchmarks/plot_xi_eigenmode.jl
index 78e26ee82..1d35a834e 100644
--- a/benchmarks/plot_xi_eigenmode.jl
+++ b/benchmarks/plot_xi_eigenmode.jl
@@ -39,7 +39,7 @@ for ip in 1:nstep
     @views mul!(xi[:, ip], u1[:, :, ip], c)
 end
 
-ms = mlow .+ (0:mpert-1)
+ms = mlow .+ (0:(mpert-1))
 peak = [maximum(abs, @view xi[i, :]) for i in 1:mpert]
 order = sortperm(peak; rev=true)       # dominant harmonics first
 
diff --git a/benchmarks/verify_gal_match.jl b/benchmarks/verify_gal_match.jl
index 51dcdd868..28ad6f2c0 100644
--- a/benchmarks/verify_gal_match.jl
+++ b/benchmarks/verify_gal_match.jl
@@ -19,7 +19,12 @@ xi, dxi, cout, cin, deltar, eig, resid, sing_psi = h5open(h5path) do f
 end
 # HDF5 stores ComplexF64 as a compound (re,im); convert if needed
 to_c(a) = eltype(a) <: Complex ? a : map(x -> ComplexF64(x.re, x.im), a)
-xi = to_c(xi); dxi = to_c(dxi); cout = to_c(cout); cin = to_c(cin); deltar = to_c(deltar); eig = to_c(eig)
+xi = to_c(xi);
+dxi = to_c(dxi);
+cout = to_c(cout);
+cin = to_c(cin);
+deltar = to_c(deltar);
+eig = to_c(eig)
 
 mpert, mcoil, ngrid = size(xi)
 msing = size(deltar, 1)
diff --git a/docs/make.jl b/docs/make.jl
index 92b605efc..2a971d4a4 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -40,9 +40,9 @@ makedocs(;
             "Tearing" => "inner_layer.md",
             "Analysis" => "analysis.md",
             "Utilities" => "utilities.md"
-       ],
+        ],
         "Citations" => "citations.md",
-        "Developer Notes" => "developer_notes.md",
+        "Developer Notes" => "developer_notes.md"
     ],
     checkdocs=:exports
 )
diff --git a/docs/src/forcing_terms.md b/docs/src/forcing_terms.md
index ba2f7d752..e88c11596 100644
--- a/docs/src/forcing_terms.md
+++ b/docs/src/forcing_terms.md
@@ -60,7 +60,7 @@ amplitudes directly — no conversion is applied.
 
 Required datasets:
 - `n`: integer array of toroidal mode numbers
-- `m`: integer array of poloidal mode numbers  
+- `m`: integer array of poloidal mode numbers
 - `amplitude_real`: float array of real parts
 - `amplitude_imag`: float array of imaginary parts (optional)
 
diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_example/gpec.toml
index 487d41f9b..d5dfe09c3 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_example/gpec.toml
@@ -86,3 +86,12 @@ Q_re_range = [-2.0, 2.0]       # Scan box in the normalized Q plane, Re(Q) axis
 Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
+
+[CriticalResonantField]
+# CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
+enabled = true # Run CriticalResonantField analysis
+inner_model = "slayer_fitzpatrick" # Inner-layer Δ(Q) model: "slayer_fitzpatrick", "ggj_shooting", or "ggj_galerkin"
+Qmin = -10 # Minimum rotation scanned
+Qmax = 10 # Maximum rotation scanned
+n = 200 # Number of rotation points scanned
+profile_file = "../DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5" # Kinetic-profile file (relative to the run dir), required when SLAYER is enabled
diff --git a/examples/DIIID-like_ideal_example/analyze_example.jl b/examples/DIIID-like_ideal_example/analyze_example.jl
index 715e3ec76..dae831848 100644
--- a/examples/DIIID-like_ideal_example/analyze_example.jl
+++ b/examples/DIIID-like_ideal_example/analyze_example.jl
@@ -41,7 +41,7 @@ function symmetric_clims(z)
 end
 
 geqdsk_cases = [
-    "TkMkr_D3Dlike_Hmode.geqdsk",
+    "TkMkr_D3Dlike_Hmode.geqdsk"
 ]
 
 base_toml = TOML.parsefile(joinpath(@__DIR__, "gpec.toml"))
diff --git a/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl b/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
index c4fe1637f..0e416e317 100644
--- a/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
+++ b/examples/DIIID-like_ideal_example_IMAS/run_imas_example.jl
@@ -57,8 +57,8 @@ try
     config_imas = merge(SHARED_CONFIG, Dict("Equilibrium" =>
         merge(EQ_COMMON, Dict("eq_type" => "imas", "eq_filename" => "from_dd", "imas_cocos" => 11))))
     open(joinpath(tmpdir_imas, "gpec.toml"), "w") do io
-        ;
-        TOML.print(io, config_imas);
+
+        TOML.print(io, config_imas)
     end
     result_imas = GPEC.main([tmpdir_imas]; dd=dd)
     global et_imas = real(result_imas.ffs.free_boundary.et[1])
@@ -76,8 +76,8 @@ try
     config_gfile = merge(SHARED_CONFIG, Dict("Equilibrium" =>
         merge(EQ_COMMON, Dict("eq_type" => "efit", "eq_filename" => GEQDSK))))
     open(joinpath(tmpdir_gfile, "gpec.toml"), "w") do io
-        ;
-        TOML.print(io, config_gfile);
+
+        TOML.print(io, config_gfile)
     end
     result_gfile = GPEC.main([tmpdir_gfile])
     global et_gfile = real(result_gfile.ffs.free_boundary.et[1])
diff --git a/examples/LAR_beta_scan/run_scan.jl b/examples/LAR_beta_scan/run_scan.jl
index 6249ff30d..f6105a2ae 100644
--- a/examples/LAR_beta_scan/run_scan.jl
+++ b/examples/LAR_beta_scan/run_scan.jl
@@ -30,11 +30,11 @@ using Printf
 # is approximately uniform over most of the range and smoothly tightens as
 # the pole is approached, giving an even visual cadence without wasting
 # points on the flat-slope region far from the pole.
-function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64 = 2.0)
-    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:N-1]
+function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64=2.0)
+    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:(N-1)]
 end
 
-const PC_FULL = _warped_grid(0.001, 0.1735, 40; p = 2.0)
+const PC_FULL = _warped_grid(0.001, 0.1735, 40; p=2.0)
 
 const PC_TEST = [0.001, 0.10, 0.17]
 
@@ -58,7 +58,9 @@ function run_single(pc::Float64)
         config = deepcopy(GPEC_BASE)
         config["TJ_ANALYTIC_INPUT"]["pc"] = pc
         config["ForceFreeStates"]["HDF5_filename"] = joinpath(run_dir, "gpec.h5")
-        open(joinpath(run_dir, "gpec.toml"), "w") do io; TOML.print(io, config); end
+        open(joinpath(run_dir, "gpec.toml"), "w") do io
+            TOML.print(io, config)
+        end
 
         GeneralizedPerturbedEquilibrium.main([run_dir])
         return extract_results(joinpath(run_dir, "gpec.h5"))
@@ -73,24 +75,32 @@ end
 function extract_results(h5_path::String)
     h5open(h5_path, "r") do f
         fbs = "ForceFreeStates/FreeBoundaryStability"
-        ep = read(f, "$fbs/eigenmode_plasma_energies"); ev = read(f, "$fbs/eigenmode_vacuum_energies"); et = read(f, "$fbs/eigenmode_energies")
+        ep = read(f, "$fbs/eigenmode_plasma_energies")
+        ev = read(f, "$fbs/eigenmode_vacuum_energies")
+        et = read(f, "$fbs/eigenmode_energies")
         msing = read(f, "SingularSurfaces/rational_count")
         m_sing = read(f, "SingularSurfaces/rational_m")
         dp_mat = haskey(f, "SingularSurfaces/Delta_prime_matrix") ? read(f, "SingularSurfaces/Delta_prime_matrix") : nothing
         qlim = haskey(f, "Info/qlim") ? read(f, "Info/qlim") : read(f, "Equilibrium/q_max")
-        q0 = read(f, "Equilibrium/q_axis"); qmax = read(f, "Equilibrium/q_max")
+        q0 = read(f, "Equilibrium/q_axis")
+        qmax = read(f, "Equilibrium/q_max")
 
-        dp_21 = NaN + NaN*im; dp_31 = NaN + NaN*im
+        dp_21 = NaN + NaN*im
+        dp_31 = NaN + NaN*im
         if dp_mat !== nothing && msing > 0
             for s in 1:min(msing, size(dp_mat, 1))
                 m_val = size(m_sing, 1) == msing ? m_sing[s, 1] : m_sing[1, s]
-                if m_val == 2; dp_21 = dp_mat[s, s]; end
-                if m_val == 3; dp_31 = dp_mat[s, s]; end
+                if m_val == 2
+                    dp_21 = dp_mat[s, s]
+                end
+                if m_val == 3
+                    dp_31 = dp_mat[s, s]
+                end
             end
         end
         return (dp_21=dp_21, dp_31=dp_31,
-                dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
-                q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
+            dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
+            q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
     end
 end
 
@@ -117,11 +127,20 @@ function main()
                 haskey(f, gname) && delete_object(f, gname)
                 g = create_group(f, gname)
                 g["pressure_factor"] = pc
-                g["dp_21_real"] = real(result.dp_21); g["dp_21_imag"] = imag(result.dp_21)
-                g["dp_31_real"] = real(result.dp_31); g["dp_31_imag"] = imag(result.dp_31)
-                g["dW_plasma"] = result.dW_plasma; g["dW_vacuum"] = result.dW_vacuum; g["dW_total"] = result.dW_total
-                g["q0"] = result.q0; g["qmax"] = result.qmax; g["qlim"] = result.qlim; g["msing"] = result.msing
-                if result.dp_matrix !== nothing; g["dp_matrix"] = result.dp_matrix; end
+                g["dp_21_real"] = real(result.dp_21)
+                g["dp_21_imag"] = imag(result.dp_21)
+                g["dp_31_real"] = real(result.dp_31)
+                g["dp_31_imag"] = imag(result.dp_31)
+                g["dW_plasma"] = result.dW_plasma
+                g["dW_vacuum"] = result.dW_vacuum
+                g["dW_total"] = result.dW_total
+                g["q0"] = result.q0
+                g["qmax"] = result.qmax
+                g["qlim"] = result.qlim
+                g["msing"] = result.msing
+                if result.dp_matrix !== nothing
+                    g["dp_matrix"] = result.dp_matrix
+                end
             end
             @printf("  dp21=%+.4f%+.4fi  dp31=%+.4f%+.4fi  dW_t=%+.6f  qa=%.3f\n",
                 real(result.dp_21), imag(result.dp_21), real(result.dp_31), imag(result.dp_31),
diff --git a/examples/LAR_epsilon_scan/run_scan.jl b/examples/LAR_epsilon_scan/run_scan.jl
index e3327ab95..f487332f0 100644
--- a/examples/LAR_epsilon_scan/run_scan.jl
+++ b/examples/LAR_epsilon_scan/run_scan.jl
@@ -30,11 +30,11 @@ using Printf
 # spacing tightens smoothly as the pole is approached — the flat low-ε
 # region is covered with even cadence, and more points land in the final
 # few percent where Δ' rises by orders of magnitude.
-function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64 = 2.0)
-    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:N-1]
+function _warped_grid(x_start::Float64, x_end::Float64, N::Int; p::Float64=2.0)
+    return [x_start + (x_end - x_start) * (1 - (1 - i / (N - 1))^p) for i in 0:(N-1)]
 end
 
-const EPSILONS_FULL = _warped_grid(0.125, 0.660, 56; p = 2.0)
+const EPSILONS_FULL = _warped_grid(0.125, 0.660, 56; p=2.0)
 
 const EPSILONS_TEST = [0.2495, 0.4072, 0.5510]
 
@@ -65,7 +65,9 @@ function run_single(epsilon::Float64)
         config["TJ_ANALYTIC_INPUT"]["lar_r0"] = GPEC_BASE["TJ_ANALYTIC_INPUT"]["lar_a"] / epsilon
         config["Equilibrium"]["eq_type"] = "tj_analytic_direct"
         config["ForceFreeStates"]["HDF5_filename"] = joinpath(run_dir, "gpec.h5")
-        open(joinpath(run_dir, "gpec.toml"), "w") do io; TOML.print(io, config); end
+        open(joinpath(run_dir, "gpec.toml"), "w") do io
+            TOML.print(io, config)
+        end
 
         GeneralizedPerturbedEquilibrium.main([run_dir])
         return extract_results(joinpath(run_dir, "gpec.h5"))
@@ -80,24 +82,32 @@ end
 function extract_results(h5_path::String)
     h5open(h5_path, "r") do f
         fbs = "ForceFreeStates/FreeBoundaryStability"
-        ep = read(f, "$fbs/eigenmode_plasma_energies"); ev = read(f, "$fbs/eigenmode_vacuum_energies"); et = read(f, "$fbs/eigenmode_energies")
+        ep = read(f, "$fbs/eigenmode_plasma_energies")
+        ev = read(f, "$fbs/eigenmode_vacuum_energies")
+        et = read(f, "$fbs/eigenmode_energies")
         msing = read(f, "SingularSurfaces/rational_count")
         m_sing = read(f, "SingularSurfaces/rational_m")
         dp_mat = haskey(f, "SingularSurfaces/Delta_prime_matrix") ? read(f, "SingularSurfaces/Delta_prime_matrix") : nothing
         qlim = haskey(f, "Info/qlim") ? read(f, "Info/qlim") : read(f, "Equilibrium/q_max")
-        q0 = read(f, "Equilibrium/q_axis"); qmax = read(f, "Equilibrium/q_max")
+        q0 = read(f, "Equilibrium/q_axis")
+        qmax = read(f, "Equilibrium/q_max")
 
-        dp_21 = NaN + NaN*im; dp_31 = NaN + NaN*im
+        dp_21 = NaN + NaN*im
+        dp_31 = NaN + NaN*im
         if dp_mat !== nothing && msing > 0
             for s in 1:min(msing, size(dp_mat, 1))
                 m_val = size(m_sing, 1) == msing ? m_sing[s, 1] : m_sing[1, s]
-                if m_val == 2; dp_21 = dp_mat[s, s]; end
-                if m_val == 3; dp_31 = dp_mat[s, s]; end
+                if m_val == 2
+                    dp_21 = dp_mat[s, s]
+                end
+                if m_val == 3
+                    dp_31 = dp_mat[s, s]
+                end
             end
         end
         return (dp_21=dp_21, dp_31=dp_31,
-                dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
-                q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
+            dW_plasma=real(ep[1]), dW_vacuum=real(ev[1]), dW_total=real(et[1]),
+            q0=q0, qmax=qmax, qlim=qlim, msing=msing, dp_matrix=dp_mat)
     end
 end
 
@@ -125,11 +135,20 @@ function main()
                 haskey(f, gname) && delete_object(f, gname)
                 g = create_group(f, gname)
                 g["epsilon"] = eps
-                g["dp_21_real"] = real(result.dp_21); g["dp_21_imag"] = imag(result.dp_21)
-                g["dp_31_real"] = real(result.dp_31); g["dp_31_imag"] = imag(result.dp_31)
-                g["dW_plasma"] = result.dW_plasma; g["dW_vacuum"] = result.dW_vacuum; g["dW_total"] = result.dW_total
-                g["q0"] = result.q0; g["qmax"] = result.qmax; g["qlim"] = result.qlim; g["msing"] = result.msing
-                if result.dp_matrix !== nothing; g["dp_matrix"] = result.dp_matrix; end
+                g["dp_21_real"] = real(result.dp_21)
+                g["dp_21_imag"] = imag(result.dp_21)
+                g["dp_31_real"] = real(result.dp_31)
+                g["dp_31_imag"] = imag(result.dp_31)
+                g["dW_plasma"] = result.dW_plasma
+                g["dW_vacuum"] = result.dW_vacuum
+                g["dW_total"] = result.dW_total
+                g["q0"] = result.q0
+                g["qmax"] = result.qmax
+                g["qlim"] = result.qlim
+                g["msing"] = result.msing
+                if result.dp_matrix !== nothing
+                    g["dp_matrix"] = result.dp_matrix
+                end
             end
             @printf("  dp21=%+.4f%+.4fi  dp31=%+.4f%+.4fi  dW_t=%+.6f  qa=%.3f\n",
                 real(result.dp_21), imag(result.dp_21), real(result.dp_31), imag(result.dp_31),
diff --git a/examples/Solovev_ideal_example/analyze_example.jl b/examples/Solovev_ideal_example/analyze_example.jl
index 4c5a8eb7c..f3d6f0b99 100644
--- a/examples/Solovev_ideal_example/analyze_example.jl
+++ b/examples/Solovev_ideal_example/analyze_example.jl
@@ -9,8 +9,11 @@ h5path = joinpath(@__DIR__, "gpec.h5")
 # Summary plots
 p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)
 p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)
-p_pe  = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
+p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
 
-display(p_eq);  Plots.savefig(p_eq,  joinpath(@__DIR__, "equilibrium_summary.png"))
-display(p_ffs); Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
-display(p_pe);  Plots.savefig(p_pe,  joinpath(@__DIR__, "pe_summary.png"))
\ No newline at end of file
+display(p_eq);
+Plots.savefig(p_eq, joinpath(@__DIR__, "equilibrium_summary.png"))
+display(p_ffs);
+Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
+display(p_pe);
+Plots.savefig(p_pe, joinpath(@__DIR__, "pe_summary.png"))
diff --git a/examples/Solovev_ideal_example_multi_n/analyze_example.jl b/examples/Solovev_ideal_example_multi_n/analyze_example.jl
index 3a1e46134..068dd2a0d 100644
--- a/examples/Solovev_ideal_example_multi_n/analyze_example.jl
+++ b/examples/Solovev_ideal_example_multi_n/analyze_example.jl
@@ -9,11 +9,14 @@ h5path = joinpath(@__DIR__, "gpec.h5")
 # Summary plots
 p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)
 p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)
-p_pe  = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
+p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)
 
-display(p_eq);  Plots.savefig(p_eq,  joinpath(@__DIR__, "equilibrium_summary.png"))
-display(p_ffs); Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
-display(p_pe);  Plots.savefig(p_pe,  joinpath(@__DIR__, "pe_summary.png"))
+display(p_eq);
+Plots.savefig(p_eq, joinpath(@__DIR__, "equilibrium_summary.png"))
+display(p_ffs);
+Plots.savefig(p_ffs, joinpath(@__DIR__, "ffs_summary.png"))
+display(p_pe);
+Plots.savefig(p_pe, joinpath(@__DIR__, "pe_summary.png"))
 
 # Analyze the single-n runs
 h5path_n1 = joinpath(@__DIR__, "single_n_1", "euler_n1.h5")
@@ -21,5 +24,7 @@ h5path_n2 = joinpath(@__DIR__, "single_n_2", "euler_n2.h5")
 p_n1 = Analysis.ForceFreeStates.plot_ffs_summary(h5path_n1)
 p_n2 = Analysis.ForceFreeStates.plot_ffs_summary(h5path_n2)
 
-display(p_n1); Plots.savefig(p_n1, joinpath(@__DIR__, "single_n_1", "ffs_summary.png"))
-display(p_n2); Plots.savefig(p_n2, joinpath(@__DIR__, "single_n_2", "ffs_summary.png"))
+display(p_n1);
+Plots.savefig(p_n1, joinpath(@__DIR__, "single_n_1", "ffs_summary.png"))
+display(p_n2);
+Plots.savefig(p_n2, joinpath(@__DIR__, "single_n_2", "ffs_summary.png"))
diff --git a/regression-harness/src/database.jl b/regression-harness/src/database.jl
index c9a06b303..c7f043bc2 100644
--- a/regression-harness/src/database.jl
+++ b/regression-harness/src/database.jl
@@ -50,7 +50,9 @@ added by a later schema migration (NULL on every pre-existing row) need both cas
 """
 _column(x, default) = (x === nothing || x === missing) ? default : x
 
-"""Materialize SQLite query results as a Vector of NamedTuples."""
+"""
+Materialize SQLite query results as a Vector of NamedTuples.
+"""
 function query_rows(db::SQLite.DB, sql::String, params=())
     result = DBInterface.execute(db, sql, params)
     ct = Tables.columntable(result)
@@ -70,7 +72,9 @@ const ENV_COLUMNS = [
     ("pinned", "INTEGER")
 ]
 
-"""Add any `runs` columns missing from a database created by an earlier harness version."""
+"""
+Add any `runs` columns missing from a database created by an earlier harness version.
+"""
 function migrate_schema!(db::SQLite.DB)
     existing = Set(String[])
     for row in query_rows(db, "PRAGMA table_info(runs)")
@@ -107,10 +111,10 @@ environment. Rows predating fingerprinting hold NULL and therefore never match 
 entries most likely to be misleading are exactly the ones that get re-run.
 """
 function is_cached(db::SQLite.DB, commit_hash::String, case_name::String;
-                   expected_key::Union{String,Nothing}=nothing)::Bool
+    expected_key::Union{String,Nothing}=nothing)::Bool
     if expected_key === nothing
         rows = query_rows(db, "SELECT id FROM runs WHERE commit_hash = ? AND case_name = ? AND success = 1",
-                          (commit_hash, case_name))
+            (commit_hash, case_name))
         return !isempty(rows)
     end
     rows = query_rows(db,
@@ -125,7 +129,7 @@ fingerprinting. Used to explain *why* a cached result was rejected.
 """
 function cached_env_key(db::SQLite.DB, commit_hash::String, case_name::String)::Union{String,Nothing}
     rows = query_rows(db, "SELECT env_key FROM runs WHERE commit_hash = ? AND case_name = ?",
-                      (commit_hash, case_name))
+        (commit_hash, case_name))
     isempty(rows) && return nothing
     key = _column(first(rows).env_key, nothing)
     key === nothing && return nothing
@@ -135,15 +139,15 @@ end
 function delete_cached(db::SQLite.DB, commit_hash::String, case_name::String)
     # ON DELETE CASCADE handles quantities cleanup automatically
     DBInterface.execute(db, "DELETE FROM runs WHERE commit_hash = ? AND case_name = ?",
-                        (commit_hash, case_name))
+        (commit_hash, case_name))
 end
 
 function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::AbstractString,
-                   commit_date::AbstractString, commit_msg::AbstractString,
-                   case_name::AbstractString, runtime_s::Float64,
-                   extracted::Vector{ExtractedQuantity};
-                   success::Bool=true, error_msg::AbstractString="",
-                   fingerprint::EnvFingerprint=UNKNOWN_ENV)
+    commit_date::AbstractString, commit_msg::AbstractString,
+    case_name::AbstractString, runtime_s::Float64,
+    extracted::Vector{ExtractedQuantity};
+    success::Bool=true, error_msg::AbstractString="",
+    fingerprint::EnvFingerprint=UNKNOWN_ENV)
     ran_at = Dates.format(Dates.now(), "yyyy-mm-ddTHH:MM:SS")
 
     SQLite.transaction(db) do
@@ -155,10 +159,10 @@ function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::Abs
                 env_key, julia_version, os_arch, manifest_sha, nthreads, blas_threads, pinned)
                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
             (String(commit_hash), String(commit_short), String(commit_date), String(commit_msg),
-             String(case_name), ran_at, runtime_s, success ? 1 : 0, String(error_msg),
-             env_key(fingerprint), fingerprint.julia_version, fingerprint.os_arch,
-             fingerprint.manifest_sha, fingerprint.nthreads, fingerprint.blas_threads,
-             fingerprint.pinned ? 1 : 0))
+                String(case_name), ran_at, runtime_s, success ? 1 : 0, String(error_msg),
+                env_key(fingerprint), fingerprint.julia_version, fingerprint.os_arch,
+                fingerprint.manifest_sha, fingerprint.nthreads, fingerprint.blas_threads,
+                fingerprint.pinned ? 1 : 0))
 
         run_id = SQLite.last_insert_rowid(db)
 
@@ -168,14 +172,14 @@ function store_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::Abs
                    (run_id, qty_name, qty_label, value_real, value_int, value_text, value_type, noise_threshold)
                    VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
                 (run_id, eq.name, eq.label, eq.value_real, eq.value_int, eq.value_text,
-                 eq.value_type, eq.noise_threshold))
+                    eq.value_type, eq.noise_threshold))
         end
     end
 end
 
 function store_failed_run(db::SQLite.DB, commit_hash::AbstractString, commit_short::AbstractString,
-                          commit_date::AbstractString, commit_msg::AbstractString,
-                          case_name::AbstractString, error_msg::AbstractString)
+    commit_date::AbstractString, commit_msg::AbstractString,
+    case_name::AbstractString, error_msg::AbstractString)
     ran_at = Dates.format(Dates.now(), "yyyy-mm-ddTHH:MM:SS")
     delete_cached(db, String(commit_hash), String(case_name))
     DBInterface.execute(db,
@@ -183,14 +187,14 @@ function store_failed_run(db::SQLite.DB, commit_hash::AbstractString, commit_sho
            (commit_hash, commit_short, commit_date, commit_msg, case_name, ran_at, runtime_s, success, error_msg)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)""",
         (String(commit_hash), String(commit_short), String(commit_date), String(commit_msg),
-         String(case_name), ran_at, 0.0, 0, String(error_msg)))
+            String(case_name), ran_at, 0.0, 0, String(error_msg)))
 end
 
 """
 Get all quantities for a (commit, case) pair. Returns Dict{qty_name => NamedTuple}.
 """
 function get_quantities(db::SQLite.DB, commit_hash::String, case_name::String)
-    results = Dict{String, NamedTuple}()
+    results = Dict{String,NamedTuple}()
     rows = query_rows(db,
         """SELECT q.qty_name, q.qty_label, q.value_real, q.value_int, q.value_text,
                   q.value_type, q.noise_threshold
@@ -202,12 +206,12 @@ function get_quantities(db::SQLite.DB, commit_hash::String, case_name::String)
     for row in rows
         name = something(row.qty_name, "")
         results[name] = (
-            label = something(row.qty_label, name),
-            value_real = row.value_real,
-            value_int = row.value_int,
-            value_text = row.value_text,
-            value_type = something(row.value_type, "missing"),
-            noise_threshold = something(row.noise_threshold, 0.0),
+            label=something(row.qty_label, name),
+            value_real=row.value_real,
+            value_int=row.value_int,
+            value_text=row.value_text,
+            value_type=something(row.value_type, "missing"),
+            noise_threshold=something(row.noise_threshold, 0.0)
         )
     end
     return results
@@ -233,13 +237,13 @@ function get_run_info(db::SQLite.DB, commit_hash::String, case_name::String)
         _column(row.pinned, 0) == 1
     )
     return (
-        commit_short = something(row.commit_short, ""),
-        commit_date = something(row.commit_date, ""),
-        commit_msg = something(row.commit_msg, ""),
-        runtime_s = something(row.runtime_s, 0.0),
-        success = coalesce(row.success, 0) == 1,
-        error_msg = something(row.error_msg, ""),
-        fingerprint = fingerprint,
+        commit_short=something(row.commit_short, ""),
+        commit_date=something(row.commit_date, ""),
+        commit_msg=something(row.commit_msg, ""),
+        runtime_s=something(row.runtime_s, 0.0),
+        success=coalesce(row.success, 0) == 1,
+        error_msg=something(row.error_msg, ""),
+        fingerprint=fingerprint
     )
 end
 
diff --git a/regression-harness/src/env.jl b/regression-harness/src/env.jl
index 20718c4cb..a7db6d339 100644
--- a/regression-harness/src/env.jl
+++ b/regression-harness/src/env.jl
@@ -49,7 +49,9 @@ end
 
 env_key(fp::EnvFingerprint) = env_key(fp.julia_version, fp.os_arch, fp.pinned ? fp.manifest_sha : "unpinned")
 
-"""SHA-256 of a file, or "" when it does not exist."""
+"""
+SHA-256 of a file, or "" when it does not exist.
+"""
 function file_sha256(path::AbstractString)::String
     isfile(path) || return ""
     return bytes2hex(SHA.sha256(read(path)))
@@ -108,7 +110,9 @@ function read_runinfo(path::String, pinned::Bool)
     return (something(runtime_s, NaN), fp)
 end
 
-"""One-line human-readable summary of an environment, for report headers."""
+"""
+One-line human-readable summary of an environment, for report headers.
+"""
 function describe_env(fp::EnvFingerprint)::String
     isempty(fp.julia_version) && return "environment unknown (cached before fingerprinting)"
     mani = isempty(fp.manifest_sha) ? "no Manifest" : "manifest " * fp.manifest_sha[1:min(8, end)]
diff --git a/regression-harness/src/reporter.jl b/regression-harness/src/reporter.jl
index 4fdecfbe3..2fef2b990 100644
--- a/regression-harness/src/reporter.jl
+++ b/regression-harness/src/reporter.jl
@@ -233,7 +233,7 @@ function report_two_ref_comparison(db::SQLite.DB, case_spec::CaseSpec,
     println("Summary: ", join(parts, ", "))
     println()
     return (n_ok=n_ok, n_changed=n_changed, n_missing=n_missing,
-            n_failed=count(identity, (failed1, failed2)))
+        n_failed=count(identity, (failed1, failed2)))
 end
 
 """
@@ -366,7 +366,7 @@ function report_multi_ref(db::SQLite.DB, case_spec::CaseSpec,
         end
     end
     if length(refs) >= 2
-        last_two = filter(!isnothing, run_infos[(end - 1):end])
+        last_two = filter(!isnothing, run_infos[(end-1):end])
         length(last_two) == 2 && _warn_env_difference(last_two[1].fingerprint, last_two[2].fingerprint)
     end
     println("-"^total_w)
@@ -387,7 +387,7 @@ function report_multi_ref(db::SQLite.DB, case_spec::CaseSpec,
     end
     println()
     return (n_ok=n_ok, n_changed=n_changed, n_missing=n_missing,
-            n_failed=count(identity, failed_mask))
+        n_failed=count(identity, failed_mask))
 end
 
 """
diff --git a/regression-harness/src/types.jl b/regression-harness/src/types.jl
index 05c7159ce..bfce92ed7 100644
--- a/regression-harness/src/types.jl
+++ b/regression-harness/src/types.jl
@@ -19,10 +19,11 @@ end
 Specification for a test case: what to run and what to extract.
 
 `kind` selects the runner backend:
+
   - "gpec_run"  (default) — run GPEC end-to-end on `example_dir`, extract from `gpec.h5`
   - "computed"  — run a self-contained Julia computation that writes a small h5
-                  (no `example_dir` required); used for analytic/reference cases
-                  like the GGJ inner-layer benchmark.
+    (no `example_dir` required); used for analytic/reference cases
+    like the GGJ inner-layer benchmark.
 """
 struct CaseSpec
     name::String
diff --git a/regression-harness/src/utils.jl b/regression-harness/src/utils.jl
index 01afbd40a..d1110f8ef 100644
--- a/regression-harness/src/utils.jl
+++ b/regression-harness/src/utils.jl
@@ -130,7 +130,7 @@ newest. Without it, two refs are compared across two different package sets and
 differences surface as physics regressions.
 """
 function create_worktree(commit_hash::String, repo_root::String;
-                         pin_manifest_from::Union{String,Nothing}=nothing)::String
+    pin_manifest_from::Union{String,Nothing}=nothing)::String
     short = commit_hash[1:min(8, length(commit_hash))]
     worktree_path = tempname() * "_gpec_$(short)"
     try
diff --git a/src/Analysis/Equilibrium.jl b/src/Analysis/Equilibrium.jl
index 6dbfede40..51b10f851 100644
--- a/src/Analysis/Equilibrium.jl
+++ b/src/Analysis/Equilibrium.jl
@@ -219,7 +219,7 @@ function plot_flux_surfaces(h5path; n_psi=11, n_theta=18, save_path=nothing)
     for s in 1:msing
         idx = argmin(abs.(xs_rz .- psi_sing[s]))
         q_label = abs(q_sing[s] - round(q_sing[s])) < 0.05 ?
-            "q=$(round(Int, q_sing[s]))" : "q=$(round(q_sing[s], digits=2))"
+                  "q=$(round(Int, q_sing[s]))" : "q=$(round(q_sing[s], digits=2))"
         plot!(p, [R_grid[idx, :]; R_grid[idx, 1]], [Z_grid[idx, :]; Z_grid[idx, 1]];
             color=:red, linewidth=1.5,
             label=s == 1 ? "Rational surface" : "")
@@ -368,23 +368,26 @@ function plot_equilibrium_summary(h5path; save_path=nothing)
 
     title_str = "q0=$(round(q0,digits=2))  q95=$(round(q95,digits=2))  βₜ=$(round(betat,digits=3))  βₙ=$(round(betan,digits=3))  κ=$(round(kappa,digits=2))  li1=$(round(li1,digits=3))"
 
-    p_rz   = plot_flux_surfaces(h5path)
-    p_q    = plot_qprofile(h5path; show_singular=true)
+    p_rz = plot_flux_surfaces(h5path)
+    p_q = plot_qprofile(h5path; show_singular=true)
     p_pres = plot_pressure_profile(h5path)
-    p_f    = plot_f_profile(h5path)
-    p_gse  = plot_gse_by_theta(h5path)  # includes integrated overplot; nothing if absent
+    p_f = plot_f_profile(h5path)
+    p_gse = plot_gse_by_theta(h5path)  # includes integrated overplot; nothing if absent
 
     # Suppress x-axis labels/ticks on all but the bottom profile panel — they share the
     # same ψ_N axis and labeling every panel wastes vertical space.
     hide_xaxis!(p) = plot!(p; xlabel="", xformatter=_->"", bottom_margin=1Plots.mm)
 
     if isnothing(p_gse)
-        hide_xaxis!(p_q); hide_xaxis!(p_pres)
+        hide_xaxis!(p_q)
+        hide_xaxis!(p_pres)
         l = @layout [a{0.38w} [b; c; d]]
         p = plot(p_rz, p_q, p_pres, p_f; layout=l, size=(1300, 750),
             plot_title=title_str, plot_titlefontsize=10, top_margin=8Plots.mm)
     else
-        hide_xaxis!(p_q); hide_xaxis!(p_pres); hide_xaxis!(p_f)
+        hide_xaxis!(p_q)
+        hide_xaxis!(p_pres)
+        hide_xaxis!(p_f)
         l = @layout [a{0.38w} [b; c; d; e]]
         p = plot(p_rz, p_q, p_pres, p_f, p_gse; layout=l, size=(1300, 1000),
             plot_title=title_str, plot_titlefontsize=10, top_margin=8Plots.mm)
diff --git a/src/Analysis/PerturbedEquilibrium.jl b/src/Analysis/PerturbedEquilibrium.jl
index 33f8bdc0f..7c1ea2d92 100644
--- a/src/Analysis/PerturbedEquilibrium.jl
+++ b/src/Analysis/PerturbedEquilibrium.jl
@@ -45,10 +45,10 @@ function plot_resonant_area_weighted_field_amplitude(h5path; save_path=nothing)
         return plot(; title="No resonant area-weighted field data — run with perturbed equilibrium enabled", legend=false)
 
     resonant_area_weighted_field, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "resonant_area_weighted_field"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"resonant_area_weighted_field"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="|b^r| [T]",
@@ -96,9 +96,9 @@ function plot_island_widths(h5path; save_path=nothing)
         return plot(; title="No island width data — run with perturbed equilibrium enabled", legend=false)
 
     island_hw, rational_psi, rational_q = h5open(h5path, "r") do fid
-        read(fid[base * "island_half_width"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"])
+        read(fid[base*"island_half_width"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"])
     end
 
     p = scatter(
@@ -150,9 +150,9 @@ function plot_chirikov_parameter(h5path; save_path=nothing)
         return plot(; title="No Chirikov data — run with perturbed equilibrium enabled", legend=false)
 
     chirikov, rational_psi, rational_q = h5open(h5path, "r") do fid
-        read(fid[base * "chirikov_parameter"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"])
+        read(fid[base*"chirikov_parameter"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"])
     end
 
     colors = [k > 1.0 ? :red : :steelblue for k in chirikov]
@@ -212,10 +212,10 @@ function plot_driven_delta_prime(h5path; save_path=nothing)
         return plot(; title="No PE Δ' data — run with perturbed equilibrium enabled", legend=false)
 
     delta_prime, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "Delta_prime"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"Delta_prime"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="Re(Δ')",
@@ -298,10 +298,10 @@ function _plot_resonant_current(h5path)
         return plot(; title="No resonant current data", legend=false)
 
     resonant_current, rational_psi, rational_q, rational_n = h5open(h5path, "r") do fid
-        read(fid[base * "resonant_current"]),
-        read(fid[base * "rational_psi"]),
-        read(fid[base * "rational_q"]),
-        read(fid[base * "rational_n"])
+        read(fid[base*"resonant_current"]),
+        read(fid[base*"rational_psi"]),
+        read(fid[base*"rational_q"]),
+        read(fid[base*"rational_n"])
     end
 
     p = plot(; xlabel="Norm. Poloidal Flux", ylabel="|I_res|",
@@ -352,10 +352,10 @@ A `Plots.jl` plot object.
 """
 function plot_mode_spectrogram(h5path; component=:xi_psi, save_path=nothing)
     comp_map = Dict(
-        :xi_psi  => "xi_psi",
-        :b_psi   => "b_psi_area_weighted",  # area-normalized b^ψ
+        :xi_psi => "xi_psi",
+        :b_psi => "b_psi_area_weighted",  # area-normalized b^ψ
         :b_theta => "b_theta",
-        :b_zeta  => "b_zeta",
+        :b_zeta => "b_zeta"
     )
     haskey(comp_map, component) ||
         error("component must be one of :xi_psi, :b_psi, :b_theta, :b_zeta")
@@ -439,9 +439,9 @@ Three-panel composite summary of perturbed equilibrium results:
 A `Plots.jl` plot object.
 """
 function plot_perturbed_equilibrium_summary(h5path; save_path=nothing)
-    p_islands  = plot_resonant_area_weighted_field_amplitude(h5path)
-    p_bpsi     = _plot_bpsi_edge_spectrum(h5path)
-    p_spectro  = plot_mode_spectrogram(h5path; component=:xi_psi)
+    p_islands = plot_resonant_area_weighted_field_amplitude(h5path)
+    p_bpsi = _plot_bpsi_edge_spectrum(h5path)
+    p_spectro = plot_mode_spectrogram(h5path; component=:xi_psi)
 
     l = @layout [grid(1, 2){0.35h}; b]
     p = plot(p_islands, p_bpsi, p_spectro; layout=l, size=(1100, 1100))
@@ -457,11 +457,11 @@ function _plot_bpsi_edge_spectrum(h5path)
         return plot(; title="No b_psi data — run with perturbed equilibrium enabled", legend=false)
 
     data, mlow, mhigh = h5open(h5path, "r") do fid
-        read(fid[base * "b_psi_area_weighted"]),
+        read(fid[base*"b_psi_area_weighted"]),
         read(fid["Info/mlow"]), read(fid["Info/mhigh"])
     end
 
-    mpert  = mhigh - mlow + 1
+    mpert = mhigh - mlow + 1
     m_vals = mlow:mhigh
     bpsi_edge = abs.(data[end, 1:mpert])
 
diff --git a/src/Analysis/PerturbedEquilibriumModes.jl b/src/Analysis/PerturbedEquilibriumModes.jl
index 58aacdaf9..b63ac97e2 100644
--- a/src/Analysis/PerturbedEquilibriumModes.jl
+++ b/src/Analysis/PerturbedEquilibriumModes.jl
@@ -20,33 +20,37 @@ Reads all required metadata (mlow, nlow, mpert, npert) and spline data (ν) from
 the HDF5 file.
 
 # Arguments
-- `h5_file::String`: Path to gpec.h5 output file
-- `variable::String`: HDF5 dataset path, e.g. `"PerturbedEquilibrium/Response/xi_R"`
+
+  - `h5_file::String`: Path to gpec.h5 output file
+  - `variable::String`: HDF5 dataset path, e.g. `"PerturbedEquilibrium/Response/xi_R"`
 
 # Keyword arguments
-- `mtheta::Int`: theta grid resolution (default: `max(2*(|mlow|+mpert), 512)`)
-- `keep_sfl_phi::Bool`: if `true` (default), output in SFL toroidal angle;
-  if `false`, apply `exp(i*n*ν(ψ,θ))` to convert to machine toroidal angle
-  and conjugate if `helicity > 0` (matches Fortran `gpout_xbrzphifun`)
+
+  - `mtheta::Int`: theta grid resolution (default: `max(2*(|mlow|+mpert), 512)`)
+  - `keep_sfl_phi::Bool`: if `true` (default), output in SFL toroidal angle;
+    if `false`, apply `exp(i*n*ν(ψ,θ))` to convert to machine toroidal angle
+    and conjugate if `helicity > 0` (matches Fortran `gpout_xbrzphifun`)
 
 # Returns
-- `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]`
-- `theta_grid::Vector{Float64}`: `[mtheta]` SFL theta ∈ [0, 1)
-- `n_vals::Vector{Int}`: `[npert]` toroidal mode numbers
+
+  - `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]`
+  - `theta_grid::Vector{Float64}`: `[mtheta]` SFL theta ∈ [0, 1)
+  - `n_vals::Vector{Int}`: `[npert]` toroidal mode numbers
 
 !!! note
+
     When used on the cylindrical components `xi_R`, `xi_Z`, `xi_phi`, `b_R`, `b_Z`,
     `b_phi` these are currently in beta and show up to ~20% discrepancies vs Fortran.
 """
 function modes_to_theta(h5_file::String, variable::String;
-                        mtheta::Union{Int,Nothing}=nothing,
-                        keep_sfl_phi::Bool=true)
+    mtheta::Union{Int,Nothing}=nothing,
+    keep_sfl_phi::Bool=true)
     h5open(h5_file, "r") do f
         modes = read(f, variable)  # (npsi, numpert_total)
         npsi, numpert_total = size(modes)
 
-        mlow  = read(f, "Info/mlow")
-        nlow  = read(f, "Info/nlow")
+        mlow = read(f, "Info/mlow")
+        nlow = read(f, "Info/nlow")
         mpert = read(f, "Info/mpert")
         npert = read(f, "Info/npert")
         @assert numpert_total == mpert * npert "Expected numpert_total=$(mpert*npert), got $numpert_total"
@@ -58,7 +62,7 @@ function modes_to_theta(h5_file::String, variable::String;
 
         theta_data = zeros(ComplexF64, npsi, mth, npert)
         for k in 1:npert
-            col_range = (k-1)*mpert+1 : k*mpert
+            col_range = ((k-1)*mpert+1):(k*mpert)
             for ipsi in 1:npsi
                 theta_data[ipsi, :, k] .= inverse(ft, view(modes, ipsi, col_range))
             end
@@ -68,7 +72,7 @@ function modes_to_theta(h5_file::String, variable::String;
             # Reconstruct ν spline from stored grid + nodal values (FastInterpolations v0.4 API)
             rzphi_xs = read(f, "Equilibrium/Geometry/psi")
             rzphi_ys = read(f, "Equilibrium/Geometry/theta")
-            nu_vals  = read(f, "Equilibrium/Geometry/nu")
+            nu_vals = read(f, "Equilibrium/Geometry/nu")
             nu_spline = cubic_interp(
                 (rzphi_xs, rzphi_ys), nu_vals;
                 bc=(CubicFit(), PeriodicBC()),
@@ -77,8 +81,8 @@ function modes_to_theta(h5_file::String, variable::String;
 
             psi_grid = read(f, "ForceFreeStates/Solutions/ForwardIntegration/psi")
 
-            bt_sign  = haskey(f, "Equilibrium/B_T_sign") ? read(f, "Equilibrium/B_T_sign") : 1
-            crnt     = haskey(f, "Equilibrium/I_p")     ? read(f, "Equilibrium/I_p")    : 1.0
+            bt_sign = haskey(f, "Equilibrium/B_T_sign") ? read(f, "Equilibrium/B_T_sign") : 1
+            crnt = haskey(f, "Equilibrium/I_p") ? read(f, "Equilibrium/I_p") : 1.0
             helicity = bt_sign * Int(sign(crnt))
 
             hint = (Ref(1), Ref(1))
@@ -110,18 +114,21 @@ Extend theta-space data to a `(θ, φ)` grid via toroidal inverse DFT.
     f(θ, φ) = Σₙ fₙ(θ) exp(i·n·φ)
 
 # Arguments
-- `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]` from `modes_to_theta`
-- `n_vals::Vector{Int}`: toroidal mode numbers
+
+  - `theta_data::Array{ComplexF64,3}`: `[npsi × mtheta × npert]` from `modes_to_theta`
+  - `n_vals::Vector{Int}`: toroidal mode numbers
 
 # Keyword arguments
-- `nphi::Int`: toroidal grid points (default: `max(4*maximum(abs.(n_vals)), 64)`)
+
+  - `nphi::Int`: toroidal grid points (default: `max(4*maximum(abs.(n_vals)), 64)`)
 
 # Returns
-- `full_data::Array{ComplexF64,3}`: `[npsi × mtheta × nphi]`
-- `phi_grid::Vector{Float64}`: `[nphi]` in radians ∈ [0, 2π)
+
+  - `full_data::Array{ComplexF64,3}`: `[npsi × mtheta × nphi]`
+  - `phi_grid::Vector{Float64}`: `[nphi]` in radians ∈ [0, 2π)
 """
 function theta_to_thetaphi(theta_data::Array{ComplexF64,3}, n_vals::Vector{Int};
-                           nphi::Union{Int,Nothing}=nothing)
+    nphi::Union{Int,Nothing}=nothing)
     npsi, mth, npert = size(theta_data)
     np = isnothing(nphi) ? max(4 * maximum(abs.(n_vals)), 64) : nphi
     phi_grid = [(j - 1) * 2π / np for j in 1:np]
diff --git a/src/Equilibrium/AnalyticEquilibrium.jl b/src/Equilibrium/AnalyticEquilibrium.jl
index 72a16a05c..7ed653867 100644
--- a/src/Equilibrium/AnalyticEquilibrium.jl
+++ b/src/Equilibrium/AnalyticEquilibrium.jl
@@ -243,7 +243,7 @@ function tj_analytic_f1(x::Float64, nu::Float64, qc::Float64)
     if x < 0.1
         x2 = x * x
         return x2 * (1 - (nu-1)*x2/2 + (nu-1)*(nu-2)*x2*x2/6 -
-                      (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/24) / qc
+                     (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/24) / qc
     else
         return (1 - (1 - x*x)^nu) / (nu * qc)
     end
@@ -259,10 +259,10 @@ parameterization.
 function tj_analytic_f1p(x::Float64, nu::Float64, qc::Float64)
     if x < 0.1
         x2 = x * x
-        return 2*x * (1 - (nu-1)*x2 + (nu-1)*(nu-2)*x2*x2/2 -
-                       (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/6) / qc
+        return 2 * x * (1 - (nu-1)*x2 + (nu-1)*(nu-2)*x2*x2/2 -
+                        (nu-1)*(nu-2)*(nu-3)*x2*x2*x2/6) / qc
     else
-        return 2*x * (1 - x*x)^(nu-1) / qc
+        return 2 * x * (1 - x*x)^(nu-1) / qc
     end
 end
 
@@ -273,10 +273,11 @@ GPEC adaptation of the analytic shape ODE used in R. Fitzpatrick's TJ code
 `tj_analytic_run_direct` call so both pipelines share identical numerics.
 
 Fields:
+
   - physical: a, R0, qc, mu, pc, B0
   - derived:  epsa2 = (a/R0)²
   - near-axis BC constants: rmin, x0 = rmin, r0 = rmin·a, f1c = 1/qc,
-                             p2ppc = d²p₂/dx²|_0 = −2·μ·pc
+    p2ppc = d²p₂/dx²|_0 = −2·μ·pc
 """
 struct TJAnalyticShapeParams
     a::Float64
@@ -293,15 +294,15 @@ struct TJAnalyticShapeParams
     p2ppc::Float64
 end
 
-function TJAnalyticShapeParams(tj::TJAnalyticConfig; rmin::Float64 = 1e-4)
+function TJAnalyticShapeParams(tj::TJAnalyticConfig; rmin::Float64=1e-4)
     a, R0 = tj.lar_a, tj.lar_r0
-    mu    = max(tj.mu, 1.001)
+    mu = max(tj.mu, 1.001)
     return TJAnalyticShapeParams(
         a, R0, tj.qc, mu, tj.pc, tj.B0,
         (a / R0)^2,
         rmin, rmin, rmin * a,
         1.0 / tj.qc,
-        -2.0 * mu * tj.pc,
+        -2.0 * mu * tj.pc
     )
 end
 
@@ -315,9 +316,9 @@ The params argument carries TJAnalyticShapeParams fields plus the current `nu`.
 """
 function tj_analytic_shape_rhs!(dy, y, params, r)
     (; a, B0, qc, mu, pc, epsa2, nu) = params
-    x    = r / a
+    x = r / a
     xfac = max(1 - x^2, 0.0)
-    f1   = tj_analytic_f1(x, nu, qc)
+    f1 = tj_analytic_f1(x, nu, qc)
     f1px = tj_analytic_f1p(x, nu, qc)
     p2px = -2 * mu * pc * x * xfac^(mu - 1)
 
@@ -340,16 +341,19 @@ function tj_analytic_shape_rhs!(dy, y, params, r)
     # f₃'(x) for Hₙ = Vₙ = 0 (n ≥ 2 harmonics rescaled to zero, as in the
     # TJ-analytic benchmark configuration of Fitzpatrick's TJ code).
     g2, f3 = y[2], y[5]
-    f3p_x = -f3 * f1px / f1 -
-             f1 * (3 * x^2 / 2 - 2 * x * H1p + H1p^2) / x +
-             f1px * (g2 - 3 * x^2 / 4 + H1 + 3 * H1p^2 / 2) +
-             x^2 * p2px * (g2 + x^2 / 2 - 3 * x * H1p - 2 * H1) / f1
+    f3p_x =
+        -f3 * f1px / f1 -
+        f1 * (3 * x^2 / 2 - 2 * x * H1p + H1p^2) / x +
+        f1px * (g2 - 3 * x^2 / 4 + H1 + 3 * H1p^2 / 2) +
+        x^2 * p2px * (g2 + x^2 / 2 - 3 * x * H1p - 2 * H1) / f1
     dy[5] = f3p_x / a
     return nothing
 end
 
-"""Initial conditions at x = x0, matching the TJ-analytic model's near-axis
-expansion (cf. R. Fitzpatrick's TJ code, https://github.com/rfitzp/TJ)."""
+"""
+Initial conditions at x = x0, matching the TJ-analytic model's near-axis
+expansion (cf. R. Fitzpatrick's TJ code, https://github.com/rfitzp/TJ).
+"""
 function tj_analytic_shape_initial(p::TJAnalyticShapeParams, nu::Float64)
     f1_0 = tj_analytic_f1(p.x0, nu, p.qc)
     y0 = zeros(5)
@@ -368,14 +372,14 @@ downstream Hₙ / ψ splines sit on uniform nodes); leave it `nothing` for
 the default adaptive save pattern used by `tj_analytic_run`.
 """
 function tj_analytic_shape_solve(p::TJAnalyticShapeParams, nu::Float64;
-                        reltol::Float64 = 1e-7, abstol::Float64 = 1e-8,
-                        saveat = nothing)
-    rhs_params = (; p.a, p.B0, p.qc, p.mu, p.pc, p.epsa2, nu = nu)
+    reltol::Float64=1e-7, abstol::Float64=1e-8,
+    saveat=nothing)
+    rhs_params = (; p.a, p.B0, p.qc, p.mu, p.pc, p.epsa2, nu=nu)
     prob = ODEProblem(tj_analytic_shape_rhs!, tj_analytic_shape_initial(p, nu), (p.r0, p.a), rhs_params)
     if saveat === nothing
-        return solve(prob, Vern9(); reltol, abstol, maxiters = 10000, dense = false)
+        return solve(prob, Vern9(); reltol, abstol, maxiters=10000, dense=false)
     else
-        return solve(prob, Vern9(); reltol, abstol, maxiters = 10000, saveat = saveat)
+        return solve(prob, Vern9(); reltol, abstol, maxiters=10000, saveat=saveat)
     end
 end
 
@@ -389,9 +393,9 @@ O(εa²) correction relative to the lowest-order guess ν = qa/qc, which
 matters for the TJ-analytic benchmark at large ε.  Falls back to the
 lowest-order ν if the bracket search diverges.
 """
-function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; reltol::Float64 = 1e-7)
+function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; reltol::Float64=1e-7)
     function q2_edge(nu::Float64)
-        sol   = tj_analytic_shape_solve(p, nu; reltol)
+        sol = tj_analytic_shape_solve(p, nu; reltol)
         g2end = sol.u[end][2]
         f3end = sol.u[end][5]
         f1end = tj_analytic_f1(1.0, nu, p.qc)
@@ -400,7 +404,7 @@ function tj_analytic_find_nu(p::TJAnalyticShapeParams, qa_target::Float64; relto
     nu_guess = qa_target / p.qc
     return try
         find_zero(nu -> q2_edge(nu) - qa_target, (0.5 * nu_guess, 2 * nu_guess);
-                  atol = 1e-8, rtol = 1e-10)
+            atol=1e-8, rtol=1e-10)
     catch err
         @warn "ν root-find failed for TJ-analytic equilibrium; falling back to lowest-order ν = qa/qc" error = err
         nu_guess
@@ -443,16 +447,16 @@ included; they are zero in the TJ-analytic benchmark scans.
 Reference: R. Fitzpatrick, TJ code, https://github.com/rfitzp/TJ
 """
 function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
-    a, R0  = tj.lar_a, tj.lar_r0
+    a, R0 = tj.lar_a, tj.lar_r0
     qc, mu = tj.qc, max(tj.mu, 1.001)
     pc, B0 = tj.pc, tj.B0
     ma, mtau = tj.ma, tj.mtau
     p = TJAnalyticShapeParams(tj)
-    epsa2     = p.epsa2
-    p00_phys  = B0^2 * epsa2 * pc          # μ₀P = B₀²·εa²·p₂ at axis
+    epsa2 = p.epsa2
+    p00_phys = B0^2 * epsa2 * pc          # μ₀P = B₀²·εa²·p₂ at axis
 
-    nu  = tj_analytic_find_nu(p, tj.qa; reltol = equil_input.etol)
-    sol = tj_analytic_shape_solve(p, nu; reltol = equil_input.etol)
+    nu = tj_analytic_find_nu(p, tj.qa; reltol=equil_input.etol)
+    sol = tj_analytic_shape_solve(p, nu; reltol=equil_input.etol)
 
     r_arr = sol.t
     y_mat = reduce(hcat, sol.u)'
@@ -468,7 +472,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         xfac = max(1 - x^2, 0.0)
         f1 = tj_analytic_f1(x, nu, qc)
 
-        ψ  = y_mat[i, 1]
+        ψ = y_mat[i, 1]
         g2 = y_mat[i, 2]
         H1 = y_mat[i, 3]
         f3 = y_mat[i, 5]
@@ -507,7 +511,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         f = spl(r; hint=hint)
         # f[1]=F, f[2]=P, f[3]=q, f[4]=ψ, f[5]=g₂, f[6]=H₁
 
-        sq_xs[ia]    = f[4] / psio
+        sq_xs[ia] = f[4] / psio
         sq_fs[ia, 1] = f[1]           # F
         sq_fs[ia, 2] = f[2]           # P
         sq_fs[ia, 3] = f[3]           # q
@@ -525,7 +529,7 @@ function tj_analytic_run(equil_input::EquilibriumConfig, tj::TJAnalyticConfig)
         for itau in 1:(mtau+1)
             θ = 2π * (itau - 1) / mtau
             rzphi_fs_nodes[ia, itau, 1] = R0 + Δ + α * r * cos(θ)
-            rzphi_fs_nodes[ia, itau, 2] =          α * r * sin(θ)
+            rzphi_fs_nodes[ia, itau, 2] = α * r * sin(θ)
         end
     end
 
@@ -579,38 +583,38 @@ ODE (g₂, H₁, H₁', f₃), the `GetPSIvac` / `GetHHvac` vacuum extension, an
 EFIT-writer (R, Z) → (r, w) Newton inversion that this routine adapts.
 """
 function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticConfig;
-                       nrbox::Int = 257, nzbox::Int = 257, rc::Float64 = 1.2)
-    a, R0  = tj.lar_a, tj.lar_r0
+    nrbox::Int=257, nzbox::Int=257, rc::Float64=1.2)
+    a, R0 = tj.lar_a, tj.lar_r0
     qc, mu = tj.qc, max(tj.mu, 1.001)
     pc, B0 = tj.pc, tj.B0
     p = TJAnalyticShapeParams(tj)
     epsa, epsa2 = p.a / p.R0, p.epsa2
-    p00_phys    = B0^2 * epsa2 * pc
+    p00_phys = B0^2 * epsa2 * pc
 
     # ν root-find (cf. Fitzpatrick TJ's Setnu): q₂(1) = qa_target.
-    nu = tj_analytic_find_nu(p, tj.qa; reltol = equil_input.etol)
+    nu = tj_analytic_find_nu(p, tj.qa; reltol=equil_input.etol)
 
     # Dense saveat so the downstream splines (H₁, g₂, f₃, ψ) are evaluated on
     # a fine uniform r grid rather than the ~30 adaptive Vern9 steps — otherwise
     # the (R, Z) → (r, w) Newton iteration hits spline interpolation artifacts.
-    dense_r = collect(range(p.r0, p.a; length = 1024))
-    sol     = tj_analytic_shape_solve(p, nu; reltol = equil_input.etol,
-                              abstol = 1e-10, saveat = dense_r)
-    r_arr   = sol.t
-    y_mat   = reduce(hcat, sol.u)'
+    dense_r = collect(range(p.r0, p.a; length=1024))
+    sol = tj_analytic_shape_solve(p, nu; reltol=equil_input.etol,
+        abstol=1e-10, saveat=dense_r)
+    r_arr = sol.t
+    y_mat = reduce(hcat, sol.u)'
 
     # Radial splines in the TJ-analytic dimensionless x = r/a on a clean grid for H₁ etc.
     x_nodes = r_arr ./ a
-    ψ_of_r   = cubic_interp(r_arr, y_mat[:, 1]; extrap=ExtendExtrap())
-    H1_of_x  = cubic_interp(x_nodes, y_mat[:, 3]; extrap=ExtendExtrap())
+    ψ_of_r = cubic_interp(r_arr, y_mat[:, 1]; extrap=ExtendExtrap())
+    H1_of_x = cubic_interp(x_nodes, y_mat[:, 3]; extrap=ExtendExtrap())
     H1p_of_x = cubic_interp(x_nodes, y_mat[:, 4]; extrap=ExtendExtrap())
-    g2_of_x  = cubic_interp(x_nodes, y_mat[:, 2]; extrap=ExtendExtrap())
-    f3_of_x  = cubic_interp(x_nodes, y_mat[:, 5]; extrap=ExtendExtrap())
+    g2_of_x = cubic_interp(x_nodes, y_mat[:, 2]; extrap=ExtendExtrap())
+    f3_of_x = cubic_interp(x_nodes, y_mat[:, 5]; extrap=ExtendExtrap())
 
     # Edge values needed by GetPSIvac
-    f1a  = tj_analytic_f1(1.0, nu, qc)
-    f3a  = f3_of_x(1.0)
-    H1a  = H1_of_x(1.0)
+    f1a = tj_analytic_f1(1.0, nu, qc)
+    f3a = f3_of_x(1.0)
+    H1a = H1_of_x(1.0)
     H1ap = H1p_of_x(1.0)
     psio = ψ_of_r(a)   # ψ at r = a (boundary)
 
@@ -644,7 +648,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
             return f_R_shift(rc - 1e-8, w) * r^2 / rc^2
         end
         H1 = (r < 1.0) ? H1_of_x(r) : H1_vac(r)
-        L  = r^3 / 8 - r * H1 / 2
+        L = r^3 / 8 - r * H1 / 2
         return epsa2 * H1 + epsa2 * epsa * L * cos(w)
     end
     function f_Z_shift(r::Float64, w::Float64)
@@ -652,7 +656,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
             return f_Z_shift(rc - 1e-8, w) * r^2 / rc^2
         end
         H1 = (r < 1.0) ? H1_of_x(r) : H1_vac(r)
-        L  = r^3 / 8 - r * H1 / 2
+        L = r^3 / 8 - r * H1 / 2
         return -epsa2 * epsa * L * sin(w)
     end
 
@@ -699,9 +703,9 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
     # Grid spans R₀ ± rc·a × ±rc·a (where rc is the vacuum-shell radius in
     # units of a), giving a comfortable margin for the separatrix finder.
     r_span = rc * a
-    psi_in_xs = collect(range(R0 - r_span, R0 + r_span; length = nrbox))
-    psi_in_ys = collect(range(-r_span, r_span; length = nzbox))
-    psi_rz    = zeros(Float64, nrbox, nzbox)
+    psi_in_xs = collect(range(R0 - r_span, R0 + r_span; length=nrbox))
+    psi_in_ys = collect(range(-r_span, r_span; length=nzbox))
+    psi_rz = zeros(Float64, nrbox, nzbox)
 
     for i in 1:nrbox, j in 1:nzbox
         R_norm = psi_in_xs[i] / R0
@@ -724,8 +728,10 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
     # 1D profile spline, same layout as read_efit (4 columns).  Use the
     # TJ-analytic q₂ on the radial grid so that the prescribed q is
     # consistent with the ψ(R,Z) we just constructed.
-    psi_norm_grid = range(0.0, 1.0; length = nrbox)
-    F_nodes  = zeros(nrbox); P_nodes = zeros(nrbox); q_nodes = zeros(nrbox)
+    psi_norm_grid = range(0.0, 1.0; length=nrbox)
+    F_nodes = zeros(nrbox)
+    P_nodes = zeros(nrbox)
+    q_nodes = zeros(nrbox)
     for i in 1:nrbox
         ψN = psi_norm_grid[i]
         # Invert ψN = (ψ_plasma(r) - 0) / psio  ⇒  find r such that ψ_plasma(r) = ψN·psio.
@@ -746,7 +752,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
         F_nodes[i] = R0 * B0 * (1 + epsa2 * g2_val)
         P_nodes[i] = p00_phys * xfac^mu
         q_nodes[i] = (x > 1e-10) ? x^2 * (1 + epsa2 * g2_val) *
-                                    exp(-epsa2 * f3_val / f1) / f1 : qc
+                                   exp(-epsa2 * f3_val / f1) / f1 : qc
     end
     sq_fs_nodes = hcat(F_nodes, P_nodes, q_nodes, sqrt.(collect(psi_norm_grid)))
     sq_in = cubic_interp(collect(psi_norm_grid), Series(sq_fs_nodes); extrap=ExtendExtrap())
@@ -756,7 +762,7 @@ function tj_analytic_run_direct(equil_input::EquilibriumConfig, tj::TJAnalyticCo
 
     # Analytic: ingest=nothing — replay regenerates from the [TJ_ANALYTIC_INPUT] TOML section.
     return DirectRunInput(equil_input, sq_in, psi_in, psi_in_xs, psi_in_ys,
-                          rmin_grid, rmax_grid, zmin_grid, zmax_grid, psio, 1, nothing)
+        rmin_grid, rmax_grid, zmin_grid, zmax_grid, psio, 1, nothing)
 end
 
 """
diff --git a/src/Equilibrium/DirectEquilibriumArcLength.jl b/src/Equilibrium/DirectEquilibriumArcLength.jl
index 32b93a0ac..f247da7a1 100644
--- a/src/Equilibrium/DirectEquilibriumArcLength.jl
+++ b/src/Equilibrium/DirectEquilibriumArcLength.jl
@@ -64,11 +64,11 @@ end
 Arc-length-parameterized flux surface integration. Drop-in replacement for
 `direct_fieldline_int` with identical return format:
 
-- `y_out[:, 1]`: geometric angle η ∈ 0 to 2π (CCW from outboard midplane)
-- `y_out[:, 2]`: accumulated ∫dl/Bp
-- `y_out[:, 3]`: rfac = √((R−ro)² + (Z−zo)²)
-- `y_out[:, 4]`: accumulated ∫dl/(R²Bp)
-- `y_out[:, 5]`: accumulated ∫jac·dl/Bp
+  - `y_out[:, 1]`: geometric angle η ∈ 0 to 2π (CCW from outboard midplane)
+  - `y_out[:, 2]`: accumulated ∫dl/Bp
+  - `y_out[:, 3]`: rfac = √((R−ro)² + (Z−zo)²)
+  - `y_out[:, 4]`: accumulated ∫dl/(R²Bp)
+  - `y_out[:, 5]`: accumulated ∫jac·dl/Bp
 
 The ODE is terminated by a `ContinuousCallback` that detects the return to the
 outboard midplane (Z = zo, R > ro) after a minimum arc-length guard.
@@ -144,4 +144,3 @@ outboard midplane (Z = zo, R > ro) after a minimum arc-length guard.
     # bfield at the starting point carries F and P for the surface-averaged quantities
     return y_out, bfield
 end
-
diff --git a/src/Equilibrium/Equilibrium.jl b/src/Equilibrium/Equilibrium.jl
index eed157812..6b55898ad 100644
--- a/src/Equilibrium/Equilibrium.jl
+++ b/src/Equilibrium/Equilibrium.jl
@@ -330,10 +330,10 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     P_vals = profiles.P_spline.y
     dVdpsi_vals = profiles.dVdpsi_spline.y
 
-    fsi_pdv  = fsi(P_vals .* dVdpsi_vals)         # ∫ p  dV/dψ
-    fsi_dv   = fsi(dVdpsi_vals)                   # ∫ dV/dψ
+    fsi_pdv = fsi(P_vals .* dVdpsi_vals)         # ∫ p  dV/dψ
+    fsi_dv = fsi(dVdpsi_vals)                   # ∫ dV/dψ
     fsi_p2dv = fsi(P_vals .^ 2 .* dVdpsi_vals)    # ∫ p² dV/dψ
-    volume   = fsi_dv                             # same integrand as hs col 2 in Fortran
+    volume = fsi_dv                             # same integrand as hs col 2 in Fortran
 
     # Poloidal-field surface integral hs_bp2(ψ) = ψ₀² ∮dθ |∇ψ|² / (R² J).
     # This is Fortran equil_out.f's hs%fs(:,3) and is the correct integrand for
@@ -343,21 +343,21 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     for ipsi in 0:mpsi
         acc = 0.0
         for itheta in 0:mtheta
-            r2       = pe.rzphi_rsquared.nodal_derivs.partials[1, ipsi+1, itheta+1]
-            offset   = pe.rzphi_offset.nodal_derivs.partials[1,    ipsi+1, itheta+1]
-            jac      = pe.rzphi_jac.nodal_derivs.partials[1,       ipsi+1, itheta+1]
-            r2_y     = pe.rzphi_rsquared.nodal_derivs.partials[3, ipsi+1, itheta+1]
-            offset_y = pe.rzphi_offset.nodal_derivs.partials[3,    ipsi+1, itheta+1]
+            r2 = pe.rzphi_rsquared.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            offset = pe.rzphi_offset.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            jac = pe.rzphi_jac.nodal_derivs.partials[1, ipsi+1, itheta+1]
+            r2_y = pe.rzphi_rsquared.nodal_derivs.partials[3, ipsi+1, itheta+1]
+            offset_y = pe.rzphi_offset.nodal_derivs.partials[3, ipsi+1, itheta+1]
 
             jacfac = π / jac
-            rfac   = sqrt(r2)
-            eta    = 2π * (pe.rzphi_ys[itheta+1] + offset)
-            r      = pe.ro + rfac * cos(eta)
-            v21    = jacfac * r2_y / (2π * rfac)
-            v22    = jacfac * (1 + offset_y) * (2 * rfac)
-            v33    = jacfac * 2π * (r / π)
-            dvsq   = (v21^2 + v22^2) * (v33 * jac^2)^2
-            acc   += dvsq / (r^2) / jac
+            rfac = sqrt(r2)
+            eta = 2π * (pe.rzphi_ys[itheta+1] + offset)
+            r = pe.ro + rfac * cos(eta)
+            v21 = jacfac * r2_y / (2π * rfac)
+            v22 = jacfac * (1 + offset_y) * (2 * rfac)
+            v33 = jacfac * 2π * (r / π)
+            dvsq = (v21^2 + v22^2) * (v33 * jac^2)^2
+            acc += dvsq / (r^2) / jac
         end
         # Periodic trapezoidal rule on uniform θ grid reduces to a plain mean
         # because the first and last grid points coincide — matches the int1/int2
@@ -367,15 +367,15 @@ function equilibrium_global_parameters!(pe::PlasmaEquilibrium)
     fsi_bp2 = fsi(hs_bp2)
 
     p0 = P_vals[1] - profiles.P_deriv(profiles.xs[1]; hint=Ref(1)) * profiles.xs[1]  # linear extrapolation
-    betat  = 2 * (fsi_pdv / fsi_dv) / bt0^2
-    betaj  = 2 * sqrt(fsi_p2dv / fsi_dv) / bwall^2
-    betan  = 100 * amean * bt0 * betat / crnt
+    betat = 2 * (fsi_pdv / fsi_dv) / bt0^2
+    betaj = 2 * sqrt(fsi_p2dv / fsi_dv) / bwall^2
+    betan = 100 * amean * bt0 * betat / crnt
     betap1 = 2 * (fsi_pdv / fsi_dv) / bp0^2
     betap2 = 4 * fsi_pdv / ((1e6 * mu0 * crnt)^2 * pe.ro)
     betap3 = 4 * fsi_pdv / ((1e6 * mu0 * crnt)^2 * rmean)
-    li1    = fsi_bp2 / fsi_dv / bp0^2
-    li2    = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * pe.ro)
-    li3    = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * rmean)
+    li1 = fsi_bp2 / fsi_dv / bp0^2
+    li2 = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * pe.ro)
+    li3 = 2 * fsi_bp2 / ((1e6 * mu0 * crnt)^2 * rmean)
 
     pe.params.psi0 = psio
     pe.params.psi_axis = pe.psio
diff --git a/src/Equilibrium/EquilibriumTypes.jl b/src/Equilibrium/EquilibriumTypes.jl
index 344f5a60f..d6d8e16b8 100644
--- a/src/Equilibrium/EquilibriumTypes.jl
+++ b/src/Equilibrium/EquilibriumTypes.jl
@@ -245,7 +245,9 @@ A mutable struct holding parameters for the Large Aspect Ratio (LAR) plasma equi
     zeroth::Bool = false
 end
 
-"Build a `LargeAspectRatioConfig` from a parsed `[LAR_INPUT]` TOML table."
+"""
+Build a `LargeAspectRatioConfig` from a parsed `[LAR_INPUT]` TOML table.
+"""
 function LargeAspectRatioConfig(input_dict::Dict{String,Any})
     return LargeAspectRatioConfig(; symbolize_keys(input_dict)...)
 end
@@ -285,7 +287,9 @@ Reference: R. Fitzpatrick, TJ code, https://github.com/rfitzp/TJ
     zeroth::Bool = false       # If true, suppress Shafranov shift
 end
 
-"Build a `TJAnalyticConfig` from a parsed `[TJ_ANALYTIC_INPUT]` TOML table."
+"""
+Build a `TJAnalyticConfig` from a parsed `[TJ_ANALYTIC_INPUT]` TOML table.
+"""
 function TJAnalyticConfig(input_dict::Dict{String,Any})
     return TJAnalyticConfig(; symbolize_keys(input_dict)...)
 end
@@ -321,7 +325,9 @@ A mutable struct holding parameters for the Solev'ev (SOL) plasma equilibrium mo
     f0fac::Float64 = 1       # scale toroidal field at constant pressure (s*f. beta,q changes. Phi,p,bp constant)
 end
 
-"Build a `SolovevConfig` from a parsed `[SOL_INPUT]` TOML table."
+"""
+Build a `SolovevConfig` from a parsed `[SOL_INPUT]` TOML table.
+"""
 function SolovevConfig(input_dict::Dict{String,Any})
     return SolovevConfig(; symbolize_keys(input_dict)...)
 end
@@ -419,6 +425,7 @@ raw equilibrium data and preparing the initial splines.
      2. `μ₀ * Pressure` — plasma pressure (non-negative) [T²]
      3. `q` — safety factor profile
      4. `√ψ_norm` — square root of normalized flux
+
   - `psi_in`
     2D cubic interpolant on the (R, Z) grid [m].
     The values correspond to the **poloidal flux** adjusted to be zero at the boundary [Wb/rad].
@@ -430,14 +437,23 @@ raw equilibrium data and preparing the initial splines.
 
           * 1D profiles are represented by `CubicInterpolant` or `CubicSeriesInterpolant`
           * 2D flux surfaces by `CubicInterpolantND`
+
   - `psi_in_xs::Vector{Float64}` — R coordinate grid for psi_in [m]
+
   - `psi_in_ys::Vector{Float64}` — Z coordinate grid for psi_in [m]
+
   - `rmin::Float64` — Minimum R-coordinate of the computational grid [m]
+
   - `rmax::Float64` — Maximum R-coordinate of the computational grid [m]
+
   - `zmin::Float64` — Minimum Z-coordinate of the computational grid [m]
+
   - `zmax::Float64` — Maximum Z-coordinate of the computational grid [m]
+
   - `psio::Float64` — Total flux difference `|ψ_axis - ψ_boundary|` [Wb/rad]
+
   - `bt_sign::Int` — Sign of the toroidal field (+1 or -1); read from fpol sign in EFIT g-files
+
   - `ingest::EquilibriumIngest` — captured raw arrays for the `gpec.h5` rerun snapshot
     (a [`DirectIngest`](@ref) for file-based reads, or `nothing` for analytic equilibria)
   - `psihigh_resolved::Float64` — outer flux limit the equilibrium is formed on: `config.psihigh`
@@ -749,7 +765,7 @@ function GeometryProfileSplines(xs::Vector{Float64},
 
     GeometryProfileSplines{typeof(area_spline)}(
         xs, npts, npts - 1,
-        area_spline, avg_r_spline, avg_R_spline,
+        area_spline, avg_r_spline, avg_R_spline
     )
 end
 
@@ -828,7 +844,7 @@ function KineticProfileSplines(xs::Vector{Float64},
         xs, npts, npts - 1,
         ni_spline, ne_spline, Ti_spline, Te_spline,
         omegaE_spline, loglam_spline, nui_spline, nue_spline, zeff_spline,
-        ni_deriv, ne_deriv, Ti_deriv, Te_deriv,
+        ni_deriv, ne_deriv, Ti_deriv, Te_deriv
     )
 end
 
@@ -845,17 +861,21 @@ This object provides a complete representation of the processed plasma equilibri
 
   - `params::EquilibriumParameters`:
     Computed equilibrium parameters and diagnostics.
+
   - `profiles::ProfileSplines`:
     Named 1D profile splines (F, P, dV/dψ, q) on normalized psi grid.
     Access values at grid points via `profiles.F_spline.y[i]`, etc.
     Access derivatives via `profiles.F_deriv.y[i]` or `profiles.F_deriv(psi)`.
+
   - `geometry::GeometryProfileSplines`:
     Named 1D splines for flux-surface-averaged geometry (area, ⟨r⟩, ⟨R⟩),
     populated automatically by `compute_geometry_profiles` during construction.
+
   - **Grid coordinates (shared by all rzphi/eqfun interpolants):**
 
       + `rzphi_xs::Vector{Float64}`: ψ coordinates (length mpsi+1)
       + `rzphi_ys::Vector{Float64}`: θ coordinates (length mtheta+1)
+
   - **Geometric quantities (rzphi, 4 interpolants):**
     2D cubic interpolants for flux-coordinate mapping with periodic BC in theta.
 
@@ -865,6 +885,7 @@ This object provides a complete representation of the processed plasma equilibri
       + `rzphi_offset::CubicInterpolantND`: η/(2π) - θₙₑw (angle offset)
       + `rzphi_nu::CubicInterpolantND`: ν in ϕ = 2πζ + ν(ψ, θ)
       + `rzphi_jac::CubicInterpolantND`: Jacobian
+
   - **Physics quantities (eqfun, 3 interpolants):**
     2D cubic interpolants storing local physics and geometric quantities.
 
@@ -873,9 +894,13 @@ This object provides a complete representation of the processed plasma equilibri
       + `eqfun_B::CubicInterpolantND`: Total magnetic field strength [T]
       + `eqfun_metric1::CubicInterpolantND`: (e₁⋅e₂ + q⋅e₃⋅e₁)/(J⋅B²)
       + `eqfun_metric2::CubicInterpolantND`: (e₂⋅e₃ + q⋅e₃⋅e₃)/(J⋅B²)
+
   - `ro::Float64`: R-coordinate of the magnetic axis [m]
+
   - `zo::Float64`: Z-coordinate of the magnetic axis [m]
+
   - `psio::Float64`: Total flux difference |Ψ_axis - Ψ_boundary| [Weber/radian]
+
   - `ingest::EquilibriumIngest`: raw arrays forwarded from the equilibrium input for the
     `gpec.h5` rerun snapshot — a [`DirectIngest`](@ref)/[`InverseIngest`](@ref) for file-based
     equilibria, or `nothing` for analytic ones (regenerated from their TOML section on replay)
diff --git a/src/Equilibrium/GeometryProfiles.jl b/src/Equilibrium/GeometryProfiles.jl
index a9596c308..9b414cf83 100644
--- a/src/Equilibrium/GeometryProfiles.jl
+++ b/src/Equilibrium/GeometryProfiles.jl
@@ -27,7 +27,7 @@ function compute_geometry_profiles(
     rzphi_rsquared::FastInterpolations.CubicInterpolantND,
     rzphi_offset::FastInterpolations.CubicInterpolantND,
     rzphi_jac::FastInterpolations.CubicInterpolantND,
-    ro::Float64,
+    ro::Float64
 )
     npsi = length(rzphi_xs)
     mthsurf = length(rzphi_ys) - 1     # skip the periodic duplicate at θ = 1
@@ -78,6 +78,6 @@ function compute_geometry_profiles(pe::PlasmaEquilibrium)
     return compute_geometry_profiles(
         pe.rzphi_xs, pe.rzphi_ys,
         pe.rzphi_rsquared, pe.rzphi_offset, pe.rzphi_jac,
-        pe.ro,
+        pe.ro
     )
 end
diff --git a/src/Equilibrium/ReadEquilibrium.jl b/src/Equilibrium/ReadEquilibrium.jl
index 8cc221b7a..068814505 100644
--- a/src/Equilibrium/ReadEquilibrium.jl
+++ b/src/Equilibrium/ReadEquilibrium.jl
@@ -432,15 +432,17 @@ Load an equilibrium from an IMAS data dictionary and return a `DirectRunInput`.
 The `dd.equilibrium.time_slice[]` is used (active time slice). Poloidal flux is
 converted from the IMAS COCOS convention (set by `config.imas_cocos`) to the
 internal COCOS 2 convention:
+
   - `imas_cocos = 11` (default, IMAS standard): divide ψ by 2π
   - `imas_cocos = 2` (GPEC internal): no conversion
 
 ## Arguments
-- `config`: `EquilibriumConfig` with `eq_type = "imas"` and `imas_cocos` set.
-- `dd`: populated `IMASdd.dd` with `dd.equilibrium.time_slice[]` containing:
-  - `global_quantities.psi_axis`, `global_quantities.psi_boundary`
-  - `profiles_1d.psi`, `profiles_1d.f`, `profiles_1d.pressure`, `profiles_1d.q`
-  - `profiles_2d[1].grid.dim1` (R), `profiles_2d[1].grid.dim2` (Z), `profiles_2d[1].psi`
+
+  - `config`: `EquilibriumConfig` with `eq_type = "imas"` and `imas_cocos` set.
+  - `dd`: populated `IMASdd.dd` with `dd.equilibrium.time_slice[]` containing:
+      + `global_quantities.psi_axis`, `global_quantities.psi_boundary`
+      + `profiles_1d.psi`, `profiles_1d.f`, `profiles_1d.pressure`, `profiles_1d.q`
+      + `profiles_2d[1].grid.dim1` (R), `profiles_2d[1].grid.dim2` (Z), `profiles_2d[1].psi`
 """
 function read_imas(config::EquilibriumConfig, dd)
     @info "Processing IMAS equilibrium at global_time = $(dd.global_time) s"
diff --git a/src/ForceFreeStates/EulerLagrange.jl b/src/ForceFreeStates/EulerLagrange.jl
index 88c1d9e4a..3ed691261 100644
--- a/src/ForceFreeStates/EulerLagrange.jl
+++ b/src/ForceFreeStates/EulerLagrange.jl
@@ -37,9 +37,9 @@ end
 # at the interval endpoints. Coefficients are ported from STRIDE's ode_itime cost model
 # (Fortran reference) and unchanged here. Tune only after re-fitting against a per-chunk
 # step-count sweep; touching these affects parallel-chunk load balancing.
-const ODE_COST_AXIS  = (a = 39695.0, b = 212830.0)
-const ODE_COST_RAT   = (a = 17147.0, b = 470710.0)
-const ODE_COST_EDGE  = (a =  1646.0, b =   4683.0)
+const ODE_COST_AXIS = (a=39695.0, b=212830.0)
+const ODE_COST_RAT = (a=17147.0, b=470710.0)
+const ODE_COST_EDGE = (a=1646.0, b=4683.0)
 
 """
     ode_itime_cost(psi1, psi2, intr) -> Float64
@@ -72,7 +72,7 @@ never from `Threads.nthreads()` — so the chunk list, and hence every Riccati o
 identical whatever thread count `julia -t` provides.
 
 Each split finds the equal-cost midpoint ψ_mid via bisection:
-  ode_itime_cost(psi_start, psi_mid) ≈ ode_itime_cost(psi_start, psi_end) / 2
+ode_itime_cost(psi_start, psi_mid) ≈ ode_itime_cost(psi_start, psi_end) / 2
 
 Sub-chunks inherit `needs_crossing=false` and `ising=0`. Only the LAST sub-chunk of
 each original chunk retains `needs_crossing=true` and the original `ising`, so the
@@ -131,10 +131,10 @@ function balance_integration_chunks(chunks::Vector{IntegrationChunk}, ctrl::Forc
         psi_mid = (lo + hi) / 2.0
 
         left = IntegrationChunk(; psi_start=chunk.psi_start, psi_end=psi_mid,
-                                  needs_crossing=false, ising=0, direction=1)
+            needs_crossing=false, ising=0, direction=1)
         right = IntegrationChunk(; psi_start=psi_mid, psi_end=chunk.psi_end,
-                                   needs_crossing=chunk.needs_crossing, ising=chunk.ising,
-                                   direction=chunk.direction)
+            needs_crossing=chunk.needs_crossing, ising=chunk.ising,
+            direction=chunk.direction)
         splice!(result, best_idx, [left, right])
     end
 
@@ -284,20 +284,20 @@ is identified by dominant |U₁| component, giving the physically correct consta
 Frobenius solution and avoiding the spurious logarithmic irregularity.
 """
 function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplines,
-        intr::ForceFreeStatesInternal, psi_low::Float64)
-    N    = intr.numpert_total
+    intr::ForceFreeStatesInternal, psi_low::Float64)
+    N = intr.numpert_total
     hint = Ref(1)
 
     # Evaluate stability matrices at psi_low
     F_lower = zeros(ComplexF64, N, N)
-    kmat    = zeros(ComplexF64, N, N)
-    gmat    = zeros(ComplexF64, N, N)
+    kmat = zeros(ComplexF64, N, N)
+    gmat = zeros(ComplexF64, N, N)
     ffit.fmats_lower(vec(F_lower), psi_low; hint=hint)
-    ffit.kmats(vec(kmat),          psi_low; hint=hint)
-    ffit.gmats(vec(gmat),          psi_low; hint=hint)
+    ffit.kmats(vec(kmat), psi_low; hint=hint)
+    ffit.gmats(vec(gmat), psi_low; hint=hint)
 
     # singfac[j] = 1 / (m_j − n_j · q) for each mode j
-    q0      = profiles.q_spline(psi_low; hint=hint)
+    q0 = profiles.q_spline(psi_low; hint=hint)
     singfac = vec(1.0 ./ ((intr.mlow:intr.mhigh) .- q0 .* (intr.nlow:intr.nhigh)'))
 
     # F̄⁻¹ = (F_lower · F_lower')⁻¹ via the Cholesky factor
@@ -311,15 +311,15 @@ function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplin
     for j in 1:N
         sf = singfac[j]
         fi = Finv[j, j]
-        k  = kmat[j, j]
+        k = kmat[j, j]
         kd = conj(k)          # K̄†[j,j]
-        g  = gmat[j, j]
+        g = gmat[j, j]
 
         # 2×2 ODE matrix block for mode j [Glasser 2016 Eq. 22-24, diagonal approximation]
         m11 = -sf * fi * k
-        m12 =  sf^2 * fi
-        m21 =  g - kd * fi * k
-        m22 =  sf * kd * fi
+        m12 = sf^2 * fi
+        m21 = g - kd * fi * k
+        m22 = sf * kd * fi
 
         # Frobenius matrix A₀_j = ψ_low · M_j [Glasser 2016 Eq. 51]
         #! format: off
@@ -346,7 +346,7 @@ function compute_axis_init(ffit::FourFitVars, profiles::Equilibrium.ProfileSplin
         if abs(v2) > Base.sqrt(Base.eps(Float64)) * abs(v1)
             U1_init[j, j] = v1 / v2
         else
-            U1_init[j, j] =  one(ComplexF64)
+            U1_init[j, j] = one(ComplexF64)
             U2_init[j, j] = zero(ComplexF64)
         end
     end
@@ -365,7 +365,7 @@ Formerly `ode_axis_init!`. This now only initializes `psifac`, `ising_start`, an
 Move ising_start logic to chunk_el_integration_bounds?
 """
 function initialize_el_at_axis!(odet::OdeState, ctrl::ForceFreeStatesControl, ffit::FourFitVars,
-        profiles::Equilibrium.ProfileSplines, intr::ForceFreeStatesInternal)
+    profiles::Equilibrium.ProfileSplines, intr::ForceFreeStatesInternal)
 
     # Default psifac to minimum equilibrium psi value
     odet.psifac = profiles.xs[1]
@@ -542,7 +542,7 @@ function chunk_el_integration_bounds(odet::OdeState, ctrl::ForceFreeStatesContro
                 psi_end=psi_end,
                 needs_crossing=true,
                 ising=ising_current,
-                direction = bidirectional ? -1 : 1
+                direction=bidirectional ? -1 : 1
             ))
 
             # After crossing, we jump to the other side of the singular surface
@@ -975,7 +975,7 @@ function transform_u!(odet::OdeState, intr::ForceFreeStatesInternal)
                     temp[ksol, jsol] = odet.fixfac[ksol, jsol, ifix]
                 end
             end
-            mul!(gauss_buffer, view(gauss,:,:,ifix), temp)
+            mul!(gauss_buffer, view(gauss, :, :, ifix), temp)
             gauss[:, :, ifix] .= gauss_buffer
         end
         # Account for zeroed indices at singular surfaces in `ode_ideal_cross`
@@ -992,7 +992,7 @@ function transform_u!(odet::OdeState, intr::ForceFreeStatesInternal)
     # and mfix + 1 is the for the region after the last fixup and before the edge
     transforms[:, :, end] .= identity
     for ifix in odet.ifix:-1:1
-        mul!(view(transforms,:,:,ifix), view(gauss,:,:,ifix), view(transforms,:,:,(ifix+1)))
+        mul!(view(transforms, :, :, ifix), view(gauss, :, :, ifix), view(transforms, :, :, (ifix+1)))
     end
 
     # Now that we have the transform matrices, we can apply them to the solution vectors
diff --git a/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl b/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
index 3032e6ef7..787305d96 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinAssembly.jl
@@ -119,11 +119,12 @@ function gal_gauss_quad!(cell::GalCell, ffit::FourFitVars, profiles, intr::Force
         pb = swap_edge ? (pbt[1], pbt[2], pbt[4], pbt[3]) : pbt
         qb = swap_edge ? (qbt[1], qbt[2], qbt[4], qbt[3]) : qbt
         for ip in 0:np, ipert in 1:N, jp in 0:np, jpert in 1:N
-            cell.mat[ipert, jpert, ip+1, jp+1] += w * (
-                F[ipert, jpert] * qb[ip+1] * qb[jp+1] +
-                K[ipert, jpert] * qb[ip+1] * pb[jp+1] +
-                conj(K[jpert, ipert]) * pb[ip+1] * qb[jp+1] +
-                G[ipert, jpert] * pb[ip+1] * pb[jp+1])
+            cell.mat[ipert, jpert, ip+1, jp+1] +=
+                w * (
+                    F[ipert, jpert] * qb[ip+1] * qb[jp+1] +
+                    K[ipert, jpert] * qb[ip+1] * pb[jp+1] +
+                    conj(K[jpert, ipert]) * pb[ip+1] * qb[jp+1] +
+                    G[ipert, jpert] * pb[ip+1] * pb[jp+1])
         end
     end
     return cell
@@ -345,8 +346,8 @@ function gal_resonant!(cell::GalCell, ising::Int, ffit::FourFitVars, profiles,
     if verbose
         @info "  resonant jsing=$jsing side=$(cell.extra) qerr=$(qerr) res1=$(raw[1]) res2=$(raw[2])"
     end
-    hbig = reshape(@view(raw[3:2+N*(np+1)]), N, np + 1)
-    hsmall = reshape(@view(raw[3+N*(np+1):end]), N, np + 1)
+    hbig = reshape(@view(raw[3:(2+N*(np+1))]), N, np + 1)
+    hsmall = reshape(@view(raw[(3+N*(np+1)):end]), N, np + 1)
 
     # Apply the right-side negation and the gal_make_arrays signs (gal.f gal_make_arrays)
     cell.erhs = -sgn_u * raw[1]
@@ -449,7 +450,7 @@ including its full three-way edge branch (rpec count `ncoil = ws.nsol - 2*msing`
   - free boundary (`wv_edge !== nothing`): add the vacuum block `wvac·psio²` at the edge value DOF
     (gal.f).
   - fixed boundary (else): identity edge (gal.f).
-`wv_edge` is `nothing` for the rpec and fixed cases.
+    `wv_edge` is `nothing` for the rpec and fixed cases.
 """
 function gal_set_boundary!(ws::GalWorkspace, mpert::Int, wv_edge::Union{Nothing,Matrix{ComplexF64}})
     chol = ws.solver == "cholesky"
@@ -474,7 +475,7 @@ function gal_set_boundary!(ws::GalWorkspace, mpert::Int, wv_edge::Union{Nothing,
             cell.mat[idx, idx, 4, 4] = 1
         end
         for ipert in 1:mpert
-            ws.rhs[cell.map[ipert, 4], 2 * msing + ipert] = 1
+            ws.rhs[cell.map[ipert, 4], 2*msing+ipert] = 1
         end
     elseif wv_edge !== nothing
         # free boundary: vacuum block wvac·psio² (gal.f)
diff --git a/src/ForceFreeStates/Galerkin/GalerkinGrid.jl b/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
index 497e26e70..49b369fba 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinGrid.jl
@@ -20,7 +20,7 @@ function gal_pack(nx::Int, pfac::Float64, side::String)
     elseif side == "right"
         xi = collect(0:2nx) ./ (2nx)
     elseif side == "both"
-        xi = collect(-nx:nx) ./ nx
+        xi = collect((-nx):nx) ./ nx
     else
         error("gal_pack: unrecognized side = $side")
     end
diff --git a/src/ForceFreeStates/Galerkin/GalerkinSolve.jl b/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
index 66dddd893..3b659e2da 100644
--- a/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
+++ b/src/ForceFreeStates/Galerkin/GalerkinSolve.jl
@@ -39,7 +39,9 @@ function gal_make_arrays!(ws::GalWorkspace, ctrl::ForceFreeStatesControl, equil,
     return ws
 end
 
-"""Empty `GalerkinResult` for a domain with no resonant surfaces."""
+"""
+Empty `GalerkinResult` for a domain with no resonant surfaces.
+"""
 function empty_galerkin_result()
     return GalerkinResult(0, Float64[], Float64[], Int[], Int[], Float64[], ComplexF64[], nothing, nothing)
 end
diff --git a/src/ForceFreeStates/Resist.jl b/src/ForceFreeStates/Resist.jl
index 3c436daa2..066d10179 100644
--- a/src/ForceFreeStates/Resist.jl
+++ b/src/ForceFreeStates/Resist.jl
@@ -33,11 +33,13 @@ coefficients E, F, G, H, K, M, the local time scales τ_A (`taua`), τ_R (`taur`
 by total volume), and the surface index `ising`.
 
 # Required keyword arguments
+
   - `eta::Real` — plasma resistivity η at this surface [Ω·m]
   - `rho::Real` — mass density ρ at this surface [kg/m³]
   - `gamma::Real` — ratio of specific heats (enters G; physical thermodynamic value, e.g. 5/3)
 
 # Physics
+
 The six flux-surface averages (Fortran `avg(1:6)`) are
 `⟨B²/|∇ψ|²⟩, ⟨1/|∇ψ|²⟩, ⟨1/B²⟩, ⟨1/(B²|∇ψ|²)⟩, ⟨B²⟩, ⟨|∇ψ|²/B²⟩`, each weighted by `J/V′`
 and integrated over θ ∈ [0,1) — exactly the resist.f integrands. The timescales are
@@ -150,10 +152,10 @@ function resonant_match_rpec(delta_out_raw::AbstractMatrix, delta_coil_raw::Abst
     size(delta_coil_raw, 1) == 2msing || error("delta_coil_raw rows $(size(delta_coil_raw,1)) != 2msing")
 
     if ctrl.gal_ideal_flag   # ideal limit: no inner layer, no reconnection
-        return ResonantMatchResult(zeros(ComplexF64,2msing,ncoil), zeros(ComplexF64,2msing,ncoil),
-            zeros(ComplexF64,msing,2), zeros(ComplexF64,msing), Matrix{ComplexF64}(delta_coil_raw), empty_bpen, 0.0)
+        return ResonantMatchResult(zeros(ComplexF64, 2msing, ncoil), zeros(ComplexF64, 2msing, ncoil),
+            zeros(ComplexF64, msing, 2), zeros(ComplexF64, msing), Matrix{ComplexF64}(delta_coil_raw), empty_bpen, 0.0)
     end
-    for (nm,v) in (("gal_eta",ctrl.gal_eta),("gal_rho",ctrl.gal_rho),("gal_rotation",ctrl.gal_rotation))
+    for (nm, v) in (("gal_eta", ctrl.gal_eta), ("gal_rho", ctrl.gal_rho), ("gal_rotation", ctrl.gal_rotation))
         length(v) == msing || error("$nm length $(length(v)) != msing $msing")
     end
 
@@ -169,37 +171,47 @@ function resonant_match_rpec(delta_out_raw::AbstractMatrix, delta_coil_raw::Abst
         rpec_eig[i] = γ
         inner = InnerLayer.solve_inner_profile(InnerLayer.GGJModel(; solver=:galerkin), params, γ;
             xfac=ctrl.gal_inner_xfac, nx=ctrl.gal_inner_nx, nq=ctrl.gal_inner_nq, cutoff=ctrl.gal_inner_cutoff, kmax=ctrl.gal_inner_kmax)
-        deltar[i,1] = inner.Δ[1]; deltar[i,2] = inner.Δ[2]
+        deltar[i, 1] = inner.Δ[1]
+        deltar[i, 2] = inner.Δ[2]
         scale = -2π * chi1 * im * nn * sings[i].q1 * inner.dψdx   # b_m = −2πi·χ₁·n·q′·dψdx·rescale·Ψ (GalerkinMatch.jl)
-        pen[i,1] = scale * inner.Ψ[1,1] * inner.rescale          # parity 1 (Ψ(0)≠0)
-        pen[i,2] = scale * inner.Ψ[1,2] * inner.rescale          # parity 2 (Ψ(0)=0 ⇒ ~0)
+        pen[i, 1] = scale * inner.Ψ[1, 1] * inner.rescale          # parity 1 (Ψ(0)≠0)
+        pen[i, 2] = scale * inner.Ψ[1, 2] * inner.rescale          # parity 2 (Ψ(0)=0 ⇒ ~0)
     end
 
-    mat  = zeros(ComplexF64, 4msing, 4msing)
+    mat = zeros(ComplexF64, 4msing, 4msing)
     rmat = zeros(ComplexF64, 4msing, ncoil)
-    @views mat[2msing+1:4msing, 1:2msing] .= transpose(delta_out_raw)
-    @views rmat[2msing+1:4msing, :] .= .-delta_coil_raw
+    @views mat[(2msing+1):4msing, 1:2msing] .= transpose(delta_out_raw)
+    @views rmat[(2msing+1):4msing, :] .= .-delta_coil_raw
     for i in 1:msing
-        a=2i-1; b=2i; c=a+2msing; d=b+2msing
-        d1=deltar[i,1]; d2=deltar[i,2]
-        mat[a,a]=1;  mat[b,b]=1
-        mat[a,c]=-1; mat[a,d]=1
-        mat[b,c]=-1; mat[b,d]=-1
-        mat[c,c]=-d1; mat[c,d]=d2
-        mat[d,c]=-d1; mat[d,d]=-d2
+        a=2i-1
+        b=2i
+        c=a+2msing
+        d=b+2msing
+        d1=deltar[i, 1]
+        d2=deltar[i, 2]
+        mat[a, a]=1
+        mat[b, b]=1
+        mat[a, c]=-1
+        mat[a, d]=1
+        mat[b, c]=-1
+        mat[b, d]=-1
+        mat[c, c]=-d1
+        mat[c, d]=d2
+        mat[d, c]=-d1
+        mat[d, d]=-d2
     end
 
     cof = mat \ rmat
     residual = norm(mat*cof - rmat) / max(norm(rmat), 1e-300)
     cout = cof[1:2msing, :]
-    cin  = cof[2msing+1:4msing, :]
-    
+    cin = cof[(2msing+1):4msing, :]
+
     reconnected_flux = delta_coil_raw .+ transpose(delta_out_raw)*cout
     # Inner-layer penetrated (reconnected) resonant field per surface — ONE quantity per surface, read off
     # the inner solution at the layer center (match.f intotsol_b; GalerkinMatch.jl): bpen[i,j] = pen₁(i)·cin[2i,j] + pen₂(i)·cin[2i-1,j].
     bpen = zeros(ComplexF64, msing, ncoil)
     for i in 1:msing, j in 1:ncoil
-        bpen[i,j] = pen[i,1]*cin[2i,j] + pen[i,2]*cin[2i-1,j]
+        bpen[i, j] = pen[i, 1]*cin[2i, j] + pen[i, 2]*cin[2i-1, j]
     end
     return ResonantMatchResult(cout, cin, deltar, rpec_eig, reconnected_flux, bpen, residual)
-end
\ No newline at end of file
+end
diff --git a/src/ForceFreeStates/ResistEval.jl b/src/ForceFreeStates/ResistEval.jl
index 04953b6c0..0f472bb38 100644
--- a/src/ForceFreeStates/ResistEval.jl
+++ b/src/ForceFreeStates/ResistEval.jl
@@ -33,23 +33,23 @@
 Per-singular-surface Glasser-Greene-Johnson geometric coefficients and
 supporting flux-surface averages.
 
-| field       | meaning                                              |
-|-------------|------------------------------------------------------|
-| `E`, `F`    | Glasser interchange parameters (enter `D_I = E+F+H-¼`) |
-| `G`         | Coupling coefficient (curvature × pressure gradient) |
-| `H`         | Pfirsch-Schlüter coefficient                         |
-| `K`         | Glasser parameter                                    |
-| `M`         | Mass factor                                          |
-| `avg_bsq_over_dpsisq` | ⟨B²/|∇ψ|²⟩ — needed for τ_R         |
-| `avg_bsq`   | ⟨B²⟩ — needed for τ_R                                |
-| `avg_B`     | ⟨B⟩ — needed for Lin-Liu-Miller f_t                  |
-| `B_max`, `B_min` | θ-extrema of B on the surface [T]               |
-| `f_trap`    | Lin-Liu & Miller 1995 trapped-particle fraction      |
-| `R_major`   | flux-surface-averaged major radius ⟨R⟩ [m]           |
-| `eps_local` | (R_max − R_min)/2 / R_major — local inverse aspect ratio |
-| `p_local`   | Plasma pressure at this surface [Pa]                 |
-| `p1_local`  | dp/dψ at this surface                                |
-| `v1_local`  | dV/dψ at this surface                                |
+| field                 | meaning                                                  |
+|:--------------------- |:-------------------------------------------------------- |
+| `E`, `F`              | Glasser interchange parameters (enter `D_I = E+F+H-¼`)   |
+| `G`                   | Coupling coefficient (curvature × pressure gradient)     |
+| `H`                   | Pfirsch-Schlüter coefficient                             |
+| `K`                   | Glasser parameter                                        |
+| `M`                   | Mass factor                                              |
+| `avg_bsq_over_dpsisq` | ⟨B²/                                                     |
+| `avg_bsq`             | ⟨B²⟩ — needed for τ_R                                    |
+| `avg_B`               | ⟨B⟩ — needed for Lin-Liu-Miller f_t                      |
+| `B_max`, `B_min`      | θ-extrema of B on the surface [T]                        |
+| `f_trap`              | Lin-Liu & Miller 1995 trapped-particle fraction          |
+| `R_major`             | flux-surface-averaged major radius ⟨R⟩ [m]               |
+| `eps_local`           | (R_max − R_min)/2 / R_major — local inverse aspect ratio |
+| `p_local`             | Plasma pressure at this surface [Pa]                     |
+| `p1_local`            | dp/dψ at this surface                                    |
+| `v1_local`            | dV/dψ at this surface                                    |
 
 `H` here is identical to the `H` reported by `mercier_scan!` and stored
 in `LocalStability/h` — the GGJ routine recomputes it for convenience.
@@ -99,6 +99,7 @@ standard GGJ formulas.
   - `gamma`  — adiabatic index (default 5/3)
 
 !!! note "Contract"
+
     `psifac` must be a genuine interior rational surface (`0 < ψ < 1`) with
     nonzero `q1`, `p1 = dp/dψ`, and `p`. The GGJ combination divides by these
     and by `|∇ψ|²` (which → 0 at the axis), so calling on the magnetic axis,
@@ -107,47 +108,47 @@ standard GGJ formulas.
     rationals.
 """
 function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
-                          psifac::Real, q1::Real; gamma::Real=5/3)
+    psifac::Real, q1::Real; gamma::Real=5/3)
     profiles = equil.profiles
-    twopi    = 2π
-    chi1     = twopi * equil.psio
-    psi_f    = Float64(psifac)
+    twopi = 2π
+    chi1 = twopi * equil.psio
+    psi_f = Float64(psifac)
 
     # Surface-profile quantities (evaluate via the existing splines)
     twopif = profiles.F_spline(psi_f)
-    p      = profiles.P_spline(psi_f)
-    p1     = profiles.P_deriv(psi_f)
-    v1     = profiles.dVdpsi_spline(psi_f)
-    v2     = profiles.dVdpsi_deriv(psi_f)
-    q      = profiles.q_spline(psi_f)
+    p = profiles.P_spline(psi_f)
+    p1 = profiles.P_deriv(psi_f)
+    v1 = profiles.dVdpsi_spline(psi_f)
+    v2 = profiles.dVdpsi_deriv(psi_f)
+    q = profiles.q_spline(psi_f)
 
     # Build the 6 GGJ θ-integrands plus a 7th (B) for the neoclassical
     # resistivity f_t calculation, and accumulate running extrema of
     # (B, R) for Lin-Liu-Miller f_t and the local ε.
     ntheta = length(equil.rzphi_ys)
-    ff     = zeros(Float64, ntheta, 7)
-    B_max  = -Inf
-    B_min  =  Inf
-    R_max  = -Inf
-    R_min  =  Inf
+    ff = zeros(Float64, ntheta, 7)
+    B_max = -Inf
+    B_min = Inf
+    R_max = -Inf
+    R_min = Inf
     for itheta in 1:ntheta
         theta = equil.rzphi_ys[itheta]
-        f1  = equil.rzphi_rsquared((psi_f, theta))
-        f2  = equil.rzphi_offset((psi_f, theta))
+        f1 = equil.rzphi_rsquared((psi_f, theta))
+        f2 = equil.rzphi_offset((psi_f, theta))
         jac = equil.rzphi_jac((psi_f, theta))
         fy1 = FastInterpolations.deriv_view(equil.rzphi_rsquared, (0, 1))((psi_f, theta))
-        fy2 = FastInterpolations.deriv_view(equil.rzphi_offset,   (0, 1))((psi_f, theta))
-        fy3 = FastInterpolations.deriv_view(equil.rzphi_nu,       (0, 1))((psi_f, theta))
+        fy2 = FastInterpolations.deriv_view(equil.rzphi_offset, (0, 1))((psi_f, theta))
+        fy3 = FastInterpolations.deriv_view(equil.rzphi_nu, (0, 1))((psi_f, theta))
 
         rfac = sqrt(f1)
-        eta  = twopi * (theta + f2)
-        r    = equil.ro + rfac * cos(eta)
+        eta = twopi * (theta + f2)
+        r = equil.ro + rfac * cos(eta)
 
         v21 = fy1 / (2 * rfac * jac)
         v22 = (1 + fy2) * twopi * rfac / jac
         v23 = fy3 * r / jac
         v33 = twopi * r / jac
-        bsq    = chi1^2 * (v21^2 + v22^2 + (v23 + q*v33)^2)
+        bsq = chi1^2 * (v21^2 + v22^2 + (v23 + q*v33)^2)
         dpsisq = (twopi * r)^2 * (v21^2 + v22^2)
 
         B_here = sqrt(bsq)
@@ -180,7 +181,7 @@ function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
              (twopif * q1 * chi1 / avg[5] - v2)
     F_coef = (p1 * v1 / (q1 * chi1^2))^2 *
              (avg[1] * avg[3] + (twopif / chi1)^2 *
-              (avg[1] * avg[4] - avg[2]^2))
+                                (avg[1] * avg[4] - avg[2]^2))
     H_coef = twopif * p1 * v1 / (q1 * chi1^3) * (avg[2] - avg[1] / avg[5])
     M_coef = avg[1] *
              (avg[6] + (twopif / chi1)^2 * (avg[3] - 1.0 / avg[5]))
@@ -192,7 +193,7 @@ function resist_geometry(equil::Equilibrium.PlasmaEquilibrium,
         E_coef, F_coef, G_coef, H_coef, K_coef, M_coef,
         avg[1], avg[5],
         avg_B, B_max, B_min, f_trap, R_major, eps_local,
-        p, p1, v1,
+        p, p1, v1
     )
 end
 
@@ -204,8 +205,8 @@ Populate `sing.restype` for every `SingType` in `intr.sing` using
 filled.
 """
 function resist_eval_all!(intr::ForceFreeStatesInternal,
-                           equil::Equilibrium.PlasmaEquilibrium;
-                           gamma::Real=5/3)
+    equil::Equilibrium.PlasmaEquilibrium;
+    gamma::Real=5/3)
     for sing in intr.sing
         sing.restype === nothing || continue
         sing.restype = resist_geometry(equil, sing.psifac, sing.q1; gamma=gamma)
diff --git a/src/ForceFreeStates/Riccati.jl b/src/ForceFreeStates/Riccati.jl
index c1710cc12..7f9c8ee3a 100644
--- a/src/ForceFreeStates/Riccati.jl
+++ b/src/ForceFreeStates/Riccati.jl
@@ -97,7 +97,7 @@ This is compatible with downstream code (which uses U₁/U₂ ratio):
 # length chunks; the absolute floor catches short chunks where 5% of the span would be
 # smaller than the typical ODE step.
 const SAVE_NEAR_END_FRAC = 0.05
-const SAVE_NEAR_END_PSI  = 1e-4
+const SAVE_NEAR_END_PSI = 1e-4
 
 """
     assemble_fm_matrix(propagators, idx_range; condition=false) -> Matrix{ComplexF64}
@@ -107,6 +107,7 @@ in order for indices `idx_range`. Returns Φ_end * ... * Φ_start, so that the r
 maps the IC at the start of `idx_range[1]` to the state at the end of `idx_range[end]`.
 
 Each `ChunkPropagator` stores the 2N columns of Φ split into two N×N×2 blocks:
+
 ```
   block_upper_ic[:,:,1:2] ↔ Φ[:,1:N]     (result from IC=(I,0))
   block_lower_ic[:,:,1:2] ↔ Φ[:,N+1:2N]  (result from IC=(0,I))
@@ -124,8 +125,8 @@ means only U₂ ICs are needed. Do NOT use for inter-surface segments where both
 and U₂ components carry physical information.
 """
 function assemble_fm_matrix(propagators::Vector{ChunkPropagator}, idx_range;
-                            condition::Bool=false,
-                            T_init::Union{Nothing,Matrix{ComplexF64}}=nothing)
+    condition::Bool=false,
+    T_init::Union{Nothing,Matrix{ComplexF64}}=nothing)
     # Determine matrix size from T_init if provided (lets us handle empty idx_range and even
     # an empty propagators list, provided T_init carries the dimension). Otherwise fall back
     # to the first propagator that actually exists in idx_range, with a final fallback to
@@ -167,7 +168,7 @@ After conditioning, only the U₂ columns carry meaningful information; the U₁
 """
 function condition_propagator!(Phi::Matrix{ComplexF64}, N::Int)
     # Work on the right half: columns N+1:2N (U₂ initial conditions)
-    cols = view(Phi, :, N+1:2N)
+    cols = view(Phi, :, (N+1):2N)
 
     # Sort columns by norm of the U₁ (upper N) block — largest first
     norms = [norm(view(cols, 1:N, k)) for k in 1:N]
@@ -217,6 +218,7 @@ Compute the inter-surface tearing stability matrix (msing × msing) using the
 STRIDE global BVP formulation [Glasser 2018 Phys. Plasmas 25, 032501, Sec. III.B].
 
 The BVP encodes the full plasma response with unknowns at each surface boundary:
+
 ```
   x_axis      (N):  free IC parameters at the axis  (U₁ = 0 regular solutions)
   x_left[j]  (2N):  state at left inner-layer boundary of surface j
@@ -229,9 +231,11 @@ The BVP encodes the full plasma response with unknowns at each surface boundary:
 
 When `wv` is provided (the vacuum response matrix, singfac-scaled), the edge BC
 follows the Fortran STRIDE convention:
+
 ```
   U₁ = c,  U₂ = -wv·ψ₀²·c
 ```
+
 which is the free-boundary condition `wp + wv = 0` at the edge.
 When `wv` is `nothing`, a conducting wall BC (`U₁ = 0`) is used.
 
@@ -248,9 +252,11 @@ keeps the BVP matrix full-rank and well-conditioned.
 The raw BVP solution is a 2·msing × 2·msing matrix `dp` with left/right
 sub-indices at each surface. The PEST3-convention Δ' matrix is the linear
 combination [Chance, PPPL-2527]:
+
 ```
   deltap(i,j) = dp(2i,2j) - dp(2i,2j-1) - dp(2i-1,2j) + dp(2i-1,2j-1)
 ```
+
 stored in `intr.delta_prime_matrix` (msing × msing).
 
 ## Limitations
@@ -275,13 +281,13 @@ function compute_delta_prime_matrix!(
     intr::ForceFreeStatesInternal,
     propagators::Vector{ChunkPropagator},
     chunks::Vector{IntegrationChunk};
-    wv::Union{Nothing,Matrix{ComplexF64}} = nothing,
-    psio::Float64 = 0.0,
-    debug::Bool = false,
-    S_at_surface_left::Union{Nothing,Vector{Matrix{ComplexF64}}} = nothing,
-    ctrl::Union{Nothing,ForceFreeStatesControl} = nothing,
-    equil::Union{Nothing,Equilibrium.PlasmaEquilibrium} = nothing,
-    ffit::Union{Nothing,FourFitVars} = nothing
+    wv::Union{Nothing,Matrix{ComplexF64}}=nothing,
+    psio::Float64=0.0,
+    debug::Bool=false,
+    S_at_surface_left::Union{Nothing,Vector{Matrix{ComplexF64}}}=nothing,
+    ctrl::Union{Nothing,ForceFreeStatesControl}=nothing,
+    equil::Union{Nothing,Equilibrium.PlasmaEquilibrium}=nothing,
+    ffit::Union{Nothing,FourFitVars}=nothing
 )
     intr.msing == 0 && return
     _has_unsupported_multi_resonance(intr) && return
@@ -301,8 +307,10 @@ function compute_delta_prime_matrix!(
     if !use_S_axis
         for ic in i_crossings
             chunks[ic].direction == 1 ||
-                error("compute_delta_prime_matrix!: FM-axis fallback (use_S_axis=false) requires forward crossing chunks; " *
-                      "chunk $ic has direction=$(chunks[ic].direction). Either provide S_at_surface_left or use bidirectional=false.")
+                error(
+                    "compute_delta_prime_matrix!: FM-axis fallback (use_S_axis=false) requires forward crossing chunks; " *
+                    "chunk $ic has direction=$(chunks[ic].direction). Either provide S_at_surface_left or use bidirectional=false."
+                )
         end
     end
 
@@ -315,15 +323,15 @@ function compute_delta_prime_matrix!(
         _build_asymptotic_basis_matrices(sing, has_ua, N, msing)
 
     debug && _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
-                            Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
+        Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
 
     if use_S_axis
         uShootR, uShootL, uAxis = _build_S_axis_shooting_propagators(
             propagators, chunks, i_crossings, sing, msing, N,
             T_left_mats, T_right_mats, has_ua, ctrl, equil, ffit, intr, debug)
         debug && _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis,
-                                                  S_at_surface_left, T_left_mats,
-                                                  ipert_all, has_ua, msing, N)
+            S_at_surface_left, T_left_mats,
+            ipert_all, has_ua, msing, N)
         M, nMat, col_edge = _assemble_bvp_S_axis(
             uShootR, uShootL, uAxis, ipert_all, msing, N, wv, psio)
     else
@@ -350,13 +358,13 @@ function compute_delta_prime_matrix!(
     # The raw matrix is consumed by `pest3_decompose` to recover (A', B', Γ', Δ') for the full
     # det(D' − D(γ)) = 0 eigenvalue problem; see ForceFreeStatesStructs.jl docstring.
     intr.delta_prime_matrix = deltap
-    intr.delta_prime_raw    = dp_raw_persisted
+    intr.delta_prime_raw = dp_raw_persisted
 end
 
 # Column index helpers for the BVP matrix. j is the 1-based singular-surface index,
 # N is numpert_total. Layout: c_axis(N), c_left[1](2N), c_right[1](2N), ..., c_edge(N).
-_col_left(j::Int, N::Int)  = (N + 4N*(j-1) + 1):(N + 4N*(j-1) + 2N)
-_col_right(j::Int, N::Int) = (N + 4N*(j-1) + 2N + 1):(N + 4N*j)
+_col_left(j::Int, N::Int) = (N+4N*(j-1)+1):(N+4N*(j-1)+2N)
+_col_right(j::Int, N::Int) = (N+4N*(j-1)+2N+1):(N+4N*j)
 
 # Multi-resonance surfaces (one q value satisfying multiple (m,n) tuples in a multi-n run)
 # are not yet handled by the inter-surface BVP. Returns true if any surface has >1 modes;
@@ -395,28 +403,28 @@ end
 # Midpoint splitting halves each inter-surface span's condition number — STRIDE's trick:
 # cond(full) = 10¹⁵ → cond(half) ≈ 10⁷·⁵, an 8-digit accuracy gain.
 function _assemble_segment_propagators(propagators::Vector{ChunkPropagator},
-                                       chunks::Vector{IntegrationChunk},
-                                       i_crossings::Vector{Int}, msing::Int, N::Int,
-                                       use_S_axis::Bool)
+    chunks::Vector{IntegrationChunk},
+    i_crossings::Vector{Int}, msing::Int, N::Int,
+    use_S_axis::Bool)
     Phi_L_mats = [assemble_fm_matrix(propagators, i_crossings[j]:i_crossings[j]) for j in 1:msing]
     Phi_R_mats = Vector{Matrix{ComplexF64}}(undef, msing + 1)
     if !use_S_axis
-        Phi_R_mats[1] = assemble_fm_matrix(propagators, 1:i_crossings[1]-1; condition=true)
+        Phi_R_mats[1] = assemble_fm_matrix(propagators, 1:(i_crossings[1]-1); condition=true)
     end
     for j in 2:msing
-        Phi_R_mats[j] = assemble_fm_matrix(propagators, i_crossings[j-1]+1:i_crossings[j]-1)
+        Phi_R_mats[j] = assemble_fm_matrix(propagators, (i_crossings[j-1]+1):(i_crossings[j]-1))
     end
-    Phi_R_mats[msing+1] = assemble_fm_matrix(propagators, i_crossings[msing]+1:length(chunks))
+    Phi_R_mats[msing+1] = assemble_fm_matrix(propagators, (i_crossings[msing]+1):length(chunks))
 
     Phi_R_halves = Vector{Tuple{Matrix{ComplexF64},Matrix{ComplexF64}}}(undef, msing - 1)
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         chunk_start = i_crossings[j] + 1
-        chunk_end   = i_crossings[j+1] - 1
-        n_chunks    = chunk_end - chunk_start + 1
+        chunk_end = i_crossings[j+1] - 1
+        n_chunks = chunk_end - chunk_start + 1
         if n_chunks >= 2
             i_mid = chunk_start + div(n_chunks, 2) - 1
-            Phi_left_half  = assemble_fm_matrix(propagators, chunk_start:i_mid)
-            Phi_right_half = assemble_fm_matrix(propagators, i_mid+1:chunk_end)
+            Phi_left_half = assemble_fm_matrix(propagators, chunk_start:i_mid)
+            Phi_right_half = assemble_fm_matrix(propagators, (i_mid+1):chunk_end)
             Phi_R_halves[j] = (Phi_left_half, Phi_right_half)
         else
             Phi_R_halves[j] = (Matrix{ComplexF64}(I, 2N, 2N), Phi_R_mats[j+1])
@@ -430,17 +438,17 @@ end
 # N+1:2N = small solutions (z^{+α}, bounded). Fortran STRIDE bakes T into the shooting
 # propagators (uFM_sing_init); we multiply T into the BVP propagator blocks at each surface.
 function _build_asymptotic_basis_matrices(sing::Vector{SingType}, has_ua::Bool, N::Int, msing::Int)
-    T_left_mats  = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_left_mats = Vector{Matrix{ComplexF64}}(undef, msing)
     T_right_mats = Vector{Matrix{ComplexF64}}(undef, msing)
-    T_left_inv   = Vector{Matrix{ComplexF64}}(undef, msing)
-    T_right_inv  = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_left_inv = Vector{Matrix{ComplexF64}}(undef, msing)
+    T_right_inv = Vector{Matrix{ComplexF64}}(undef, msing)
     if has_ua
         for j in 1:msing
             sp = sing[j]
-            T_left_mats[j]  = [sp.ua_left[:,:,1]; sp.ua_left[:,:,2]]
-            T_right_mats[j] = [sp.ua_right[:,:,1]; sp.ua_right[:,:,2]]
-            T_left_inv[j]   = inv(T_left_mats[j])
-            T_right_inv[j]  = inv(T_right_mats[j])
+            T_left_mats[j] = [sp.ua_left[:, :, 1]; sp.ua_left[:, :, 2]]
+            T_right_mats[j] = [sp.ua_right[:, :, 1]; sp.ua_right[:, :, 2]]
+            T_left_inv[j] = inv(T_left_mats[j])
+            T_right_inv[j] = inv(T_right_mats[j])
         end
     end
     return T_left_mats, T_right_mats, T_left_inv, T_right_inv
@@ -471,7 +479,7 @@ function _build_S_axis_shooting_propagators(
         end
         if can_reintegrate && !isempty(shoot_range_R)
             uShootR[j] = integrate_fm_with_ua_ic(chunks, shoot_range_R, sing[j].ua_right,
-                            ctrl, equil, ffit, intr; backward=false, psi_ua=sing[j].psi_ua_right)
+                ctrl, equil, ffit, intr; backward=false, psi_ua=sing[j].psi_ua_right)
         else
             T_init = has_ua ? T_right_mats[j] : nothing
             uShootR[j] = assemble_fm_matrix(propagators, shoot_range_R; T_init=T_init)
@@ -488,7 +496,7 @@ function _build_S_axis_shooting_propagators(
         end
         if can_reintegrate && !isempty(shoot_range_L)
             uShootL[j] = integrate_fm_with_ua_ic(chunks, shoot_range_L, sing[j].ua_left,
-                            ctrl, equil, ffit, intr; backward=true, psi_ua=sing[j].psi_ua_left)
+                ctrl, equil, ffit, intr; backward=true, psi_ua=sing[j].psi_ua_left)
         else
             T_init = has_ua ? T_left_mats[j] : nothing
             uShootL[j] = assemble_fm_matrix(propagators, shoot_range_L; T_init=T_init)
@@ -497,10 +505,10 @@ function _build_S_axis_shooting_propagators(
 
     uAxis, i_axis_mid = _build_conditioned_axis_propagator(propagators, i_crossings, N)
     uShootL[1] = _build_uShootL_first(propagators, chunks, i_crossings, sing,
-                                      T_left_mats, has_ua, can_reintegrate, i_axis_mid,
-                                      ctrl, equil, ffit, intr, N)
+        T_left_mats, has_ua, can_reintegrate, i_axis_mid,
+        ctrl, equil, ffit, intr, N)
     if debug
-        shoot_range_L1 = (i_axis_mid + 1):(i_crossings[1] - 1)
+        shoot_range_L1 = (i_axis_mid+1):(i_crossings[1]-1)
         @info "  Axis propagator: $(i_axis_mid) chunks, cond=$(@sprintf("%.2e", cond(uAxis)))"
         @info "  uShootL[1]: range=$(shoot_range_L1), cond=$(@sprintf("%.2e", cond(uShootL[1])))"
     end
@@ -513,25 +521,25 @@ end
 # chunk+1 to chunk(i_crossings[j]-1). The ψ midpoint is used (not the chunk-index midpoint)
 # because chunks near singularities are packed tighter in ψ — Fortran convention.
 function _midpoint_shoot_range(chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
-                               j::Int, msing::Int; side::Symbol)
+    j::Int, msing::Int; side::Symbol)
     if side === :right
-        j == msing && return (i_crossings[msing] + 1):length(chunks)
+        j == msing && return (i_crossings[msing]+1):length(chunks)
         chunk_start = i_crossings[j] + 1
-        chunk_end   = i_crossings[j+1] - 1
+        chunk_end = i_crossings[j+1] - 1
     else  # :left, j >= 2
         chunk_start = i_crossings[j-1] + 1
-        chunk_end   = i_crossings[j] - 1
+        chunk_end = i_crossings[j] - 1
     end
     psi_mid_target = (chunks[chunk_start].psi_start + chunks[chunk_end].psi_end) / 2
     i_mid_inter = chunk_start
-    for ic in chunk_start:chunk_end-1
+    for ic in chunk_start:(chunk_end-1)
         if chunks[ic].psi_end >= psi_mid_target
             i_mid_inter = ic
             break
         end
         i_mid_inter = ic
     end
-    return side === :right ? (chunk_start:i_mid_inter) : ((i_mid_inter + 1):chunk_end)
+    return side === :right ? (chunk_start:i_mid_inter) : ((i_mid_inter+1):chunk_end)
 end
 
 # Build a well-conditioned axis propagator by forward-propagating [0; I] through the
@@ -539,7 +547,7 @@ end
 # midpoint is placed one chunk before the first surface so that uShootL[1] covers only the
 # last chunk, keeping it well-conditioned.
 function _build_conditioned_axis_propagator(propagators::Vector{ChunkPropagator},
-                                            i_crossings::Vector{Int}, N::Int)
+    i_crossings::Vector{Int}, N::Int)
     n_pre_cross = i_crossings[1] - 1
     i_axis_mid = max(1, n_pre_cross - 1)
     uAxis = zeros(ComplexF64, 2N, N)
@@ -549,9 +557,9 @@ function _build_conditioned_axis_propagator(propagators::Vector{ChunkPropagator}
     for ic in 1:i_axis_mid
         prop = propagators[ic]
         upper_old = uAxis[1:N, :]
-        lower_old = uAxis[N+1:2N, :]
-        uAxis[1:N, :]    .= prop.block_upper_ic[:,:,1] * upper_old .+ prop.block_lower_ic[:,:,1] * lower_old
-        uAxis[N+1:2N, :] .= prop.block_upper_ic[:,:,2] * upper_old .+ prop.block_lower_ic[:,:,2] * lower_old
+        lower_old = uAxis[(N+1):2N, :]
+        uAxis[1:N, :] .= prop.block_upper_ic[:, :, 1] * upper_old .+ prop.block_lower_ic[:, :, 1] * lower_old
+        uAxis[(N+1):2N, :] .= prop.block_upper_ic[:, :, 2] * upper_old .+ prop.block_lower_ic[:, :, 2] * lower_old
         Q, _ = qr(uAxis)
         uAxis .= Matrix(Q)[:, 1:N]
     end
@@ -565,18 +573,18 @@ end
 # Falls back to T_left_mats[1] (or identity if no ua) when there's only 1 chunk before the
 # first crossing.
 function _build_uShootL_first(propagators::Vector{ChunkPropagator},
-                              chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
-                              sing::Vector{SingType}, T_left_mats::Vector{Matrix{ComplexF64}},
-                              has_ua::Bool, can_reintegrate::Bool, i_axis_mid::Int,
-                              ctrl, equil, ffit, intr::ForceFreeStatesInternal, N::Int)
-    shoot_range_L1 = (i_axis_mid + 1):(i_crossings[1] - 1)
+    chunks::Vector{IntegrationChunk}, i_crossings::Vector{Int},
+    sing::Vector{SingType}, T_left_mats::Vector{Matrix{ComplexF64}},
+    has_ua::Bool, can_reintegrate::Bool, i_axis_mid::Int,
+    ctrl, equil, ffit, intr::ForceFreeStatesInternal, N::Int)
+    shoot_range_L1 = (i_axis_mid+1):(i_crossings[1]-1)
     if can_reintegrate && !isempty(shoot_range_L1)
         return integrate_fm_with_ua_ic(chunks, shoot_range_L1, sing[1].ua_left,
-                                       ctrl, equil, ffit, intr;
-                                       backward=true, psi_ua=sing[1].psi_ua_left)
+            ctrl, equil, ffit, intr;
+            backward=true, psi_ua=sing[1].psi_ua_left)
     elseif !isempty(shoot_range_L1)
         return assemble_fm_matrix(propagators, shoot_range_L1;
-                                  T_init=has_ua ? T_left_mats[1] : nothing)
+            T_init=has_ua ? T_left_mats[1] : nothing)
     else
         return has_ua ? T_left_mats[1] : Matrix{ComplexF64}(I, 2N, 2N)
     end
@@ -587,19 +595,19 @@ end
 # the catastrophically ill-conditioned axis FM. Fortran-matched structure with
 # nMat = (2 + 4·msing)·N. Returns (M, nMat, col_edge).
 function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
-                              uShootL::Vector{Matrix{ComplexF64}},
-                              uAxis::Matrix{ComplexF64}, ipert_all::Vector{Int},
-                              msing::Int, N::Int,
-                              wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
+    uShootL::Vector{Matrix{ComplexF64}},
+    uAxis::Matrix{ComplexF64}, ipert_all::Vector{Int},
+    msing::Int, N::Int,
+    wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
     # STRIDE global BVP block structure [Glasser-Kolemen 2018 PoP 25, 032501 Eq. 37].
     nMat = (2 + 4 * msing) * N
     col_axis = 1:N
-    col_edge = (nMat - N + 1):nMat
+    col_edge = (nMat-N+1):nMat
     M = zeros(ComplexF64, nMat, nMat)
 
     # Axis matching: uShootL[1] · c_left[1] = uAxis · c_axis  (2N equations)
     M[1:2N, _col_left(1, N)] .= uShootL[1]
-    M[1:2N, col_axis]        .= -uAxis
+    M[1:2N, col_axis] .= -uAxis
     row_offset = 2N
 
     for j in 1:msing
@@ -608,24 +616,24 @@ function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
         for i in 1:2N
             if i != ipert_j && i != ipert_j + N
                 row_offset += 1
-                M[row_offset, _col_left(j, N)[i]]  =  1
+                M[row_offset, _col_left(j, N)[i]] = 1
                 M[row_offset, _col_right(j, N)[i]] = -1
             end
         end
 
-        junc_rows = (row_offset + 1):(row_offset + 2N)
+        junc_rows = (row_offset+1):(row_offset+2N)
         if j < msing
             # Midpoint matching between consecutive surfaces
-            M[junc_rows, _col_right(j, N)]   .= -uShootR[j]
-            M[junc_rows, _col_left(j+1, N)]  .=  uShootL[j+1]
+            M[junc_rows, _col_right(j, N)] .= -uShootR[j]
+            M[junc_rows, _col_left(j+1, N)] .= uShootL[j+1]
         else
             # Edge junction
             M[junc_rows, _col_right(msing, N)] .= uShootR[msing]
             if wv !== nothing
-                M[junc_rows[1:N],     col_edge] .= -I(N)
-                M[junc_rows[N+1:end], col_edge] .= wv .* psio^2
+                M[junc_rows[1:N], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= wv .* psio^2
             else
-                M[junc_rows[N+1:end], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= -I(N)
             end
         end
         row_offset = last(junc_rows)
@@ -635,7 +643,7 @@ function _assemble_bvp_S_axis(uShootR::Vector{Matrix{ComplexF64}},
     for j in 1:msing
         ipert_j = ipert_all[j]
         row_offset += 1
-        M[row_offset, _col_left(j, N)[ipert_j]]  = 1
+        M[row_offset, _col_left(j, N)[ipert_j]] = 1
         row_offset += 1
         M[row_offset, _col_right(j, N)[ipert_j]] = 1
     end
@@ -670,18 +678,18 @@ end
 # Fallback BVP assembly with FM-based axis BC (used when no Riccati S matrices are available).
 # Uses the conditioned axis propagator Phi_R[1][:,N+1:2N] in place of S-axis matching.
 function _assemble_bvp_FM_axis(Phi_L_mats::Vector{Matrix{ComplexF64}},
-                               Phi_R_mats::Vector{Matrix{ComplexF64}}, ipert_all::Vector{Int},
-                               msing::Int, N::Int,
-                               T_left_inv::Vector{Matrix{ComplexF64}},
-                               T_right_inv::Vector{Matrix{ComplexF64}}, has_ua::Bool,
-                               wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
+    Phi_R_mats::Vector{Matrix{ComplexF64}}, ipert_all::Vector{Int},
+    msing::Int, N::Int,
+    T_left_inv::Vector{Matrix{ComplexF64}},
+    T_right_inv::Vector{Matrix{ComplexF64}}, has_ua::Bool,
+    wv::Union{Nothing,Matrix{ComplexF64}}, psio::Float64)
     nMat = (2 + 4 * msing) * N
     col_axis = 1:N
-    col_edge = (N + 4N*msing + 1):nMat
+    col_edge = (N+4N*msing+1):nMat
     M = zeros(ComplexF64, nMat, nMat)
 
     M[1:2N, (N+1):(N+2N)] .= Phi_L_mats[1]
-    M[1:2N, col_axis]     .= -view(Phi_R_mats[1], :, N+1:2N)
+    M[1:2N, col_axis] .= -view(Phi_R_mats[1], :, (N+1):2N)
 
     row_drive_base = 2N + (4N-2)*msing
     for j in 1:msing
@@ -692,29 +700,29 @@ function _assemble_bvp_FM_axis(Phi_L_mats::Vector{Matrix{ComplexF64}},
         for i in 1:2N
             if i != ipert_j && i != ipert_j + N
                 row_cont += 1
-                M[row_cont, cl[i]] =  1
+                M[row_cont, cl[i]] = 1
                 M[row_cont, cr[i]] = -1
             end
         end
-        junc_rows = (row_cont + 1):(2N + (4N-2)*j)
+        junc_rows = (row_cont+1):(2N+(4N-2)*j)
         if j < msing
-            M[junc_rows, cr]                .=  Phi_R_mats[j+1]
+            M[junc_rows, cr] .= Phi_R_mats[j+1]
             M[junc_rows, _col_left(j+1, N)] .= -Phi_L_mats[j+1]
         else
             M[junc_rows, cr] .= Phi_R_mats[msing+1]
             if wv !== nothing
-                M[junc_rows[1:N],     col_edge] .= -I(N)
-                M[junc_rows[N+1:end], col_edge] .= wv .* psio^2
+                M[junc_rows[1:N], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= wv .* psio^2
             else
-                M[junc_rows[N+1:end], col_edge] .= -I(N)
+                M[junc_rows[(N+1):end], col_edge] .= -I(N)
             end
         end
         if has_ua
-            M[row_drive_base + 2j-1, cl] .= T_left_inv[j][ipert_j, :]
-            M[row_drive_base + 2j,   cr] .= T_right_inv[j][ipert_j, :]
+            M[row_drive_base+2j-1, cl] .= T_left_inv[j][ipert_j, :]
+            M[row_drive_base+2j, cr] .= T_right_inv[j][ipert_j, :]
         else
-            M[row_drive_base + 2j-1, cl[ipert_j]] = 1
-            M[row_drive_base + 2j,   cr[ipert_j]] = 1
+            M[row_drive_base+2j-1, cl[ipert_j]] = 1
+            M[row_drive_base+2j, cr[ipert_j]] = 1
         end
     end
     return M, nMat, col_edge
@@ -725,8 +733,8 @@ end
 # combination subtracts dp_raw entries up to ~3×10⁴ larger than the result, and Float64
 # precision lets the imaginary part drift 2–5× on DIIID-class equilibria.
 function _solve_bvp_and_combine_pest3(M::Matrix{ComplexF64}, msing::Int, N::Int, nMat::Int,
-                                      use_S_axis::Bool, ipert_all::Vector{Int}, col_edge,
-                                      ctrl, debug::Bool)
+    use_S_axis::Bool, ipert_all::Vector{Int}, col_edge,
+    ctrl, debug::Bool)
     s2 = 2 * msing
     Tc = (ctrl === nothing || ctrl.extended_precision_bvp) ? Complex{Double64} : ComplexF64
     M_solve = Tc.(M)
@@ -748,12 +756,12 @@ function _solve_bvp_and_combine_pest3(M::Matrix{ComplexF64}, msing::Int, N::Int,
         x = use_lu ? (M_lu \ b) : (M_pinv * b)
 
         debug && _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
-                                ipert_all, col_edge, use_S_axis)
+            ipert_all, col_edge, use_S_axis)
 
         for ksing in 1:msing
             ipert_k = ipert_all[ksing]
             dp_raw[dRow, 2ksing-1] = x[_col_left(ksing, N)[ipert_k+N]]
-            dp_raw[dRow, 2ksing]   = x[_col_right(ksing, N)[ipert_k+N]]
+            dp_raw[dRow, 2ksing] = x[_col_right(ksing, N)[ipert_k+N]]
         end
     end
 
@@ -773,7 +781,7 @@ end
 
 # Logging helpers for `compute_delta_prime_matrix!`. Called only when debug=true.
 function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
-                        Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
+    Phi_L_mats, Phi_R_mats, Phi_R_halves, ipert_all, wv, psio, N, msing)
     @info "Δ' BVP: $(length(chunks)) chunks, $msing surfaces, N=$N"
     @info "Δ' BVP: Axis BC: $(use_S_axis ? "S-based (Riccati)" : "FM-based (conditioned)")"
     @info "Δ' BVP: Asymptotic basis: $(has_ua ? "available" : "NOT available (raw basis driving)")"
@@ -785,8 +793,8 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
     if has_ua
         for j in 1:msing
             sp = sing[j]
-            T_l = [sp.ua_left[:,:,1]; sp.ua_left[:,:,2]]
-            T_r = [sp.ua_right[:,:,1]; sp.ua_right[:,:,2]]
+            T_l = [sp.ua_left[:, :, 1]; sp.ua_left[:, :, 2]]
+            T_r = [sp.ua_right[:, :, 1]; sp.ua_right[:, :, 2]]
             @info "  Surface $j: cond(T_left)=$(@sprintf("%.2e", cond(T_l))), cond(T_right)=$(@sprintf("%.2e", cond(T_r)))"
             ipert_j = ipert_all[j]
             @info "  Surface $j ua_left (ipert=$ipert_j, psi_ua_left=$(@sprintf("%.8f", sp.psi_ua_left))):"
@@ -796,7 +804,7 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
             @info "    small: ua(1,$(ipert_j+N),1)=$(@sprintf("%16.8e %16.8e", real(sp.ua_left[1,ipert_j+N,1]), imag(sp.ua_left[1,ipert_j+N,1])))"
         end
     end
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         Phi_L_h, Phi_R_h = Phi_R_halves[j]
         @info "  Inter-surface $j→$(j+1): half_L cond=$(@sprintf("%.2e",cond(Phi_L_h))), half_R cond=$(@sprintf("%.2e",cond(Phi_R_h))), full cond=$(@sprintf("%.2e",cond(Phi_R_mats[j+1])))"
     end
@@ -813,7 +821,7 @@ function _log_bvp_setup(chunks, sing, S_at_surface_left, use_S_axis, has_ua,
 end
 
 function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_left,
-                                          T_left_mats, ipert_all, has_ua, msing, N)
+    T_left_mats, ipert_all, has_ua, msing, N)
     @info "  Shooting propagators (S-based axis BC, no axis unknowns):"
     for j in 1:msing
         shoot_R_str = @sprintf("%.2e", cond(uShootR[j]))
@@ -823,7 +831,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
     S1 = S_at_surface_left[1]
     if has_ua
         T1 = T_left_mats[1]
-        axis_BC = T1[1:N, :] - S1 * T1[N+1:2N, :]
+        axis_BC = T1[1:N, :] - S1 * T1[(N+1):2N, :]
         @info "    S-axis BC matrix: cond=$(@sprintf("%.2e", cond(axis_BC)))"
     end
     for j in 1:msing
@@ -837,7 +845,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
             @info "    uShootL[$j] col ipert=$ipert_j norm=$(@sprintf("%.2e", col_norms_L[ipert_j])), col ipert+N=$(ipert_j+N) norm=$(@sprintf("%.2e", col_norms_L[ipert_j+N]))"
         end
     end
-    for j in 1:msing-1
+    for j in 1:(msing-1)
         mid_block = hcat(uShootR[j], -uShootL[j+1])
         @info "    Midpoint $j→$(j+1): cond([uShootR[$j] | -uShootL[$(j+1)]]) = $(@sprintf("%.2e", cond(mid_block)))"
         col_norms_Ljp1 = [norm(view(uShootL[j+1], :, k)) for k in 1:2N]
@@ -846,7 +854,7 @@ function _log_S_axis_shooting_propagators(uShootR, uShootL, uAxis, S_at_surface_
 end
 
 function _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
-                        ipert_all, col_edge, use_S_axis)
+    ipert_all, col_edge, use_S_axis)
     residual = norm(ComplexF64.(M_solve * x - b))
     side_str = side == 1 ? "left" : "right"
     @info "  BVP solve: jsing=$jsing side=$side_str (dRow=$dRow): ||Mx-b||=$(@sprintf("%.2e", residual)), ||x||=$(@sprintf("%.2e", Float64(norm(x))))"
@@ -854,9 +862,9 @@ function _log_bvp_solve(x, b, M_solve, jsing, side, dRow, msing, N,
         ipert_ks = ipert_all[ks]
         cl = _col_left(ks, N)
         cr = _col_right(ks, N)
-        xl_big   = ComplexF64(x[cl[ipert_ks]])
+        xl_big = ComplexF64(x[cl[ipert_ks]])
         xl_small = ComplexF64(x[cl[ipert_ks+N]])
-        xr_big   = ComplexF64(x[cr[ipert_ks]])
+        xr_big = ComplexF64(x[cr[ipert_ks]])
         xr_small = ComplexF64(x[cr[ipert_ks+N]])
         @info "    surf $ks: x_left[big]=$(@sprintf("%+.4e%+.4ei", real(xl_big), imag(xl_big))), x_left[small]=$(@sprintf("%+.4e%+.4ei", real(xl_small), imag(xl_small)))"
         @info "    surf $ks: x_right[big]=$(@sprintf("%+.4e%+.4ei", real(xr_big), imag(xr_big))), x_right[small]=$(@sprintf("%+.4e%+.4ei", real(xr_small), imag(xr_small)))"
@@ -870,7 +878,7 @@ end
 function _log_bvp_pest3(dp_raw, deltap, s2, msing, Tc)
     @info "Δ' BVP: Full dp_raw matrix ($(s2)×$(s2)) [$(Tc)]:"
     for i in 1:s2
-        row_str = join([@sprintf("%+.6e", Float64(real(dp_raw[i,j]))) for j in 1:s2], "  ")
+        row_str = join([@sprintf("%+.6e", Float64(real(dp_raw[i, j]))) for j in 1:s2], "  ")
         @info "  dp_raw[$i,:] = $row_str"
     end
     @info "Δ' BVP: Raw dp diagonal = $([@sprintf("%.4f%+.4fi", Float64(real(dp_raw[i,i])), Float64(imag(dp_raw[i,i]))) for i in 1:s2])"
@@ -930,8 +938,8 @@ function pest3_decompose(dp_raw::AbstractMatrix)
     for i in 1:m, j in 1:m
         LL = dp_raw[2i-1, 2j-1]
         LR = dp_raw[2i-1, 2j]
-        RL = dp_raw[2i,   2j-1]
-        RR = dp_raw[2i,   2j]
+        RL = dp_raw[2i, 2j-1]
+        RR = dp_raw[2i, 2j]
         Ap[i, j] = RR + RL + LR + LL
         Bp[i, j] = RR - RL + LR - LL
         Gp[i, j] = RR + RL - LR - LL
@@ -944,7 +952,7 @@ end
     riccati_der!(du, u, params, psieval)
 
 Evaluate the explicit dual Riccati ODE right-hand side:
-  dS/dψ = w†·F̄⁻¹·w - S·Ḡ·S,   w = Q - K̄·S
+dS/dψ = w†·F̄⁻¹·w - S·Ḡ·S,   w = Q - K̄·S
 
 where Q = diag(1/(m - n·q)) is the diagonal singular factor matrix.
 The identity slice u[:,:,2] = I does not evolve (du[:,:,2] = 0).
@@ -968,7 +976,7 @@ See: Glasser (2018) Phys. Plasmas 25, 032507 — Eq. 19 (dual Riccati form)
     _, equil, ffit, intr, odet, _ = params
 
     Npert = intr.numpert_total
-    S  = @view u[:, :, 1]
+    S = @view u[:, :, 1]
     dS = @view du[:, :, 1]
     @view(du[:, :, 2]) .= 0  # identity does not evolve
 
@@ -983,9 +991,9 @@ See: Glasser (2018) Phys. Plasmas 25, 032507 — Eq. 19 (dual Riccati form)
     fmat_lower = acquire!(pool, ComplexF64, Npert, Npert)
     kmat = similar!(pool, fmat_lower)
     gmat = similar!(pool, fmat_lower)
-    w    = similar!(pool, fmat_lower)  # w = Q - K̄·S
-    v    = similar!(pool, fmat_lower)  # v = F̄⁻¹·w (then reused for S·Ḡ·S)
-    tmp  = similar!(pool, fmat_lower)  # scratch
+    w = similar!(pool, fmat_lower)  # w = Q - K̄·S
+    v = similar!(pool, fmat_lower)  # v = F̄⁻¹·w (then reused for S·Ḡ·S)
+    tmp = similar!(pool, fmat_lower)  # scratch
 
     # Evaluate F̄ (Cholesky factor), K̄, Ḡ splines at current ψ
     ffit.fmats_lower(vec(fmat_lower), psieval; hint=ffit._hint)
@@ -1076,7 +1084,7 @@ function riccati_integrate_chunk!(
     cb = DiscreteCallback((u, t, integrator) -> true, riccati_integrator_callback!)
     rtol = ctrl.eulerlagrange_tolerance
     prob = ODEProblem(sing_der!, odet.u, (chunk.psi_start, chunk.psi_end),
-                      (ctrl, equil, ffit, intr, odet, chunk))
+        (ctrl, equil, ffit, intr, odet, chunk))
     sol = solve(prob, Vern9(); reltol=rtol, callback=cb, save_everystep=false, save_end=true)
     odet.u .= sol.u[end]
     odet.psifac = sol.t[end]
@@ -1094,8 +1102,8 @@ end
     renormalize_riccati!(odet, intr)
 
 After a singular surface crossing, restore the canonical Riccati storage convention:
-  u[:,:,1] = S_new = U₁_new · U₂_new⁻¹
-  u[:,:,2] = I
+u[:,:,1] = S_new = U₁_new · U₂_new⁻¹
+u[:,:,2] = I
 
 `riccati_cross_ideal_singular_surf!` leaves u[:,:,1] = U₁_new and u[:,:,2] = U₂_new (not I),
 so this step is required before continuing the Riccati integration.
@@ -1119,8 +1127,8 @@ end
     renormalize_riccati_inplace!(u, N)
 
 In-place Riccati renormalization on an arbitrary N×N×2 array:
-  u[:,:,1] = U₁ · U₂⁻¹  (new S)
-  u[:,:,2] = I
+u[:,:,1] = U₁ · U₂⁻¹  (new S)
+u[:,:,2] = I
 
 Used in `riccati_integrator_callback!` to renormalize the integrator's live state
 when column norms grow beyond `ctrl.ucrit`, analogous to Gaussian reduction in the
@@ -1142,14 +1150,14 @@ end
 Cross a singular surface for the Riccati formulation. Replaces `cross_ideal_singular_surf!`
 for the Riccati integration path with two key differences:
 
-1. **No Gaussian reduction**: `cross_ideal_singular_surf!` calls `compute_solution_norms!`
-   which applies Gaussian reduction to (S, I). This divides by pivot elements of S, which
-   can be near-zero (S = 0 at axis and grows slowly), producing NaN/Inf in U₂. For Riccati,
-   S is bounded so Gaussian reduction is unnecessary.
+ 1. **No Gaussian reduction**: `cross_ideal_singular_surf!` calls `compute_solution_norms!`
+    which applies Gaussian reduction to (S, I). This divides by pivot elements of S, which
+    can be near-zero (S = 0 at axis and grows slowly), producing NaN/Inf in U₂. For Riccati,
+    S is bounded so Gaussian reduction is unnecessary.
 
-2. **Direct column zeroing**: Instead of using the GR-sorted `odet.index` to identify the
-   column to zero, we use `ipert_res` directly (the resonant mode index). This is valid since
-   without GR there is no permutation applied to the columns of S.
+ 2. **Direct column zeroing**: Instead of using the GR-sorted `odet.index` to identify the
+    column to zero, we use `ipert_res` directly (the resonant mode index). This is valid since
+    without GR there is no permutation applied to the columns of S.
 
 **Δ' normalization**: This function expects `odet.u` in the bounded (U₁, U₂) form produced by
 `riccati_integrate_chunk!` with `needs_crossing=true` (final renorm skipped). ca_l is computed
@@ -1195,11 +1203,11 @@ Fortran STRIDE's separate vmatl/vmatr (sing_vmat). Alpha is taken from the right
 side and shared with the left.
 """
 function _two_sided_singular_asymptotics(singp::SingType, ctrl::ForceFreeStatesControl,
-                                         equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                         intr::ForceFreeStatesInternal)
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     sing_asymp_right = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=1.0)
-    sing_asymp_left  = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=-1.0,
-                                                alpha_override=sing_asymp_right.alpha)
+    sing_asymp_left = compute_sing_asymptotics(singp, ctrl, equil, ffit, intr; sig=-1.0,
+        alpha_override=sing_asymp_right.alpha)
     return sing_asymp_left, sing_asymp_right
 end
 
@@ -1219,7 +1227,7 @@ end
 
 # Capture left-side asymptotic data into odet.ca_l and singp.ua_left/psi_ua_left.
 function _capture_left_crossing_data!(odet::OdeState, singp::SingType, sing_asymp_left,
-                                      dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int)
+    dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int)
     ua = sing_get_ua(sing_asymp_left, dpsi)
     singp.ua_left = copy(ua)
     singp.psi_ua_left = odet.psifac
@@ -1231,9 +1239,9 @@ end
 # odet.psifac to the right side. The zeroed columns stay zero through the predictor
 # since du[:, ipert_res, :] = 0 when u[:, ipert_res, :] = 0.
 function _predict_across_singular_surface!(odet::OdeState, ctrl::ForceFreeStatesControl,
-                                           equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                           intr::ForceFreeStatesInternal, ising::Int,
-                                           ipert_res, dpsi::Float64, sing_asymp_right)
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal, ising::Int,
+    ipert_res, dpsi::Float64, sing_asymp_right)
     if ctrl.kinetic_factor == 0
         for i in eachindex(sing_asymp_right.r1)
             odet.u[:, ipert_res[i], :] .= 0
@@ -1253,8 +1261,8 @@ end
 # Column ipert_res of [U₁_new; U₂_new] = ua[:, ipert_res+N, :] (the introduced small asymptotic),
 # so ca_r[ipert_res, ipert_res, 2] = 1 regardless of other columns' normalization.
 function _capture_right_crossing_data!(odet::OdeState, singp::SingType, sing_asymp_right,
-                                       dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int,
-                                       ipert_res, ctrl::ForceFreeStatesControl)
+    dpsi::Float64, intr::ForceFreeStatesInternal, ising::Int,
+    ipert_res, ctrl::ForceFreeStatesControl)
     ua = sing_get_ua(sing_asymp_right, dpsi)
     singp.ua_right = copy(ua)
     singp.psi_ua_right = odet.psifac
@@ -1270,9 +1278,9 @@ end
 # STUB: per-surface ca-based Δ' (not physically valid; see SingType.delta_prime docstring).
 # The canonical Δ' is intr.delta_prime_matrix from compute_delta_prime_matrix!.
 function _stash_per_surface_delta_prime_stub!(odet::OdeState, intr::ForceFreeStatesInternal,
-                                              ising::Int, ipert_res, sing_asymp_right,
-                                              equil::Equilibrium.PlasmaEquilibrium,
-                                              ctrl::ForceFreeStatesControl)
+    ising::Int, ipert_res, sing_asymp_right,
+    equil::Equilibrium.PlasmaEquilibrium,
+    ctrl::ForceFreeStatesControl)
     ctrl.kinetic_factor == 0 || return
     denom = (2π)^2 * equil.psio
     n_res = length(sing_asymp_right.r1)
@@ -1323,8 +1331,8 @@ function integrate_propagator_chunk!(
     # naturally. The resulting propagator maps state at psi_end → psi_start, which is
     # well-conditioned because exponentially growing solutions (forward) decay backward.
     tspan = chunk.direction == 1 ?
-        (chunk.psi_start, chunk.psi_end) :
-        (chunk.psi_end,   chunk.psi_start)
+            (chunk.psi_start, chunk.psi_end) :
+            (chunk.psi_end, chunk.psi_start)
     rtol = ctrl.eulerlagrange_tolerance
     params = (ctrl, equil, ffit, intr, odet_proxy, chunk)
 
@@ -1378,12 +1386,12 @@ function integrate_fm_with_ua_ic(
     equil::Equilibrium.PlasmaEquilibrium,
     ffit::FourFitVars,
     intr::ForceFreeStatesInternal;
-    backward::Bool = false,
-    psi_ua::Float64 = NaN
+    backward::Bool=false,
+    psi_ua::Float64=NaN
 )
     N = intr.numpert_total
     psi_start = chunks[first(chunk_range)].psi_start
-    psi_end   = chunks[last(chunk_range)].psi_end
+    psi_end = chunks[last(chunk_range)].psi_end
     # Use stored ua ψ location if provided; otherwise fall back to chunk boundary.
     # The ua is evaluated at the inner-layer boundary (exact ψ from singular crossing),
     # which may differ slightly from the nearest chunk boundary.
@@ -1409,18 +1417,18 @@ function integrate_fm_with_ua_ic(
     odet_proxy.ffit_hint[] = 1
     prob = ODEProblem(sing_der!, u0, tspan, params)
     sol = solve(prob, Vern9(); reltol=rtol, save_everystep=false, save_end=true)
-    result[1:N, 1:N]     .= sol.u[end][:, :, 1]
-    result[N+1:2N, 1:N]  .= sol.u[end][:, :, 2]
+    result[1:N, 1:N] .= sol.u[end][:, :, 1]
+    result[(N+1):2N, 1:N] .= sol.u[end][:, :, 2]
 
     # Batch 2: columns N+1:2N of T (small solutions)
-    u0[:, :, 1] .= ua[:, N+1:2N, 1]
-    u0[:, :, 2] .= ua[:, N+1:2N, 2]
+    u0[:, :, 1] .= ua[:, (N+1):2N, 1]
+    u0[:, :, 2] .= ua[:, (N+1):2N, 2]
     odet_proxy.spline_hint[] = 1
     odet_proxy.ffit_hint[] = 1
     prob = ODEProblem(sing_der!, u0, tspan, params)
     sol = solve(prob, Vern9(); reltol=rtol, save_everystep=false, save_end=true)
-    result[1:N, N+1:2N]     .= sol.u[end][:, :, 1]
-    result[N+1:2N, N+1:2N]  .= sol.u[end][:, :, 2]
+    result[1:N, (N+1):2N] .= sol.u[end][:, :, 1]
+    result[(N+1):2N, (N+1):2N] .= sol.u[end][:, :, 2]
 
     return result
 end
@@ -1432,8 +1440,8 @@ Apply the chunk propagator `prop` to the current state `odet.u` in-place.
 
 The propagator acts as a linear map on the (U₁, U₂) pair:
 
-  U₁_new = block_upper_ic[:,:,1] · U₁_prev + block_lower_ic[:,:,1] · U₂_prev
-  U₂_new = block_upper_ic[:,:,2] · U₁_prev + block_lower_ic[:,:,2] · U₂_prev
+U₁_new = block_upper_ic[:,:,1] · U₁_prev + block_lower_ic[:,:,1] · U₂_prev
+U₂_new = block_upper_ic[:,:,2] · U₁_prev + block_lower_ic[:,:,2] · U₂_prev
 
 This correctly propagates any state (not just the identity), including the
 (S, I) form produced by Riccati-style crossings.
@@ -1488,10 +1496,10 @@ function apply_propagator_inverse!(odet::OdeState, prop::ChunkPropagator)
     # Φ_bwd maps state at psi_end → psi_start (well-conditioned).
     # We want Φ_fwd = Φ_bwd⁻¹ to advance state from psi_start → psi_end.
     # Solving Φ_bwd · x = [U₁_old; U₂_old] gives x = Φ_bwd⁻¹ · [U₁_old; U₂_old].
-    u_old = [odet.u[:,:,1]; odet.u[:,:,2]]   # 2N × N
+    u_old = [odet.u[:, :, 1]; odet.u[:, :, 2]]   # 2N × N
     u_new = Φ \ u_old                         # LU solve, 2N × N
-    odet.u[:,:,1] .= u_new[1:N, :]
-    odet.u[:,:,2] .= u_new[N+1:2N, :]
+    odet.u[:, :, 1] .= u_new[1:N, :]
+    odet.u[:, :, 2] .= u_new[(N+1):2N, :]
 end
 
 """
@@ -1504,33 +1512,34 @@ this is the only branch that produces them.
 Solves the same system as [`forward_eulerlagrange_integration`](@ref), but integrates all bulk
 chunks concurrently using `Threads.@threads`, then re-integrates the outer plasma serially:
 
-1. **Chunk generation**: calls `chunk_el_integration_bounds`, then `balance_integration_chunks`
-   to sub-divide chunks for load balancing. The chunk count depends only on `intr.msing` and
-   `ctrl.nchunks`, never on the thread count, so results are thread-independent.
-2. **Propagator phase**: `integrate_propagator_chunk!` integrates each chunk independently
-   from identity initial conditions (no accumulated state, no normalization/callback).
-   Each thread uses a private `OdeState` proxy for `sing_der!` side effects.
-3. **Serial assembly**: propagators are applied sequentially with `apply_propagator!`.
-   Rational surface crossings use `riccati_cross_ideal_singular_surf!` (no Gaussian
-   reduction).
-4. **Outer plasma re-integration**: after the last rational surface crossing, the outer
-   plasma (from last ψ_s to psilim) is re-integrated using `riccati_integrate_chunk!`.
-   FM propagation in this region is prone to precision loss for high N (exponential growth
-   without renormalization); Riccati integration keeps matrices bounded and provides dense
-   checkpoints for `findmax_dW_edge!`.
+ 1. **Chunk generation**: calls `chunk_el_integration_bounds`, then `balance_integration_chunks`
+    to sub-divide chunks for load balancing. The chunk count depends only on `intr.msing` and
+    `ctrl.nchunks`, never on the thread count, so results are thread-independent.
+ 2. **Propagator phase**: `integrate_propagator_chunk!` integrates each chunk independently
+    from identity initial conditions (no accumulated state, no normalization/callback).
+    Each thread uses a private `OdeState` proxy for `sing_der!` side effects.
+ 3. **Serial assembly**: propagators are applied sequentially with `apply_propagator!`.
+    Rational surface crossings use `riccati_cross_ideal_singular_surf!` (no Gaussian
+    reduction).
+ 4. **Outer plasma re-integration**: after the last rational surface crossing, the outer
+    plasma (from last ψ_s to psilim) is re-integrated using `riccati_integrate_chunk!`.
+    FM propagation in this region is prone to precision loss for high N (exponential growth
+    without renormalization); Riccati integration keeps matrices bounded and provides dense
+    checkpoints for `findmax_dW_edge!`.
 
 Select via `integrator = "riccati"` in `[ForceFreeStates]` of gpec.toml. Requires
 `singfac_min != 0`. Uses whatever threads `julia -t` provides; `ctrl.nchunks` is the only
 tunable.
 
 **Key differences from the forward integrator:**
-- No Gaussian reduction in the propagator BVP phase (crossings use the
-  Riccati-style algorithm, `odet.ifix` stays 0)
-- `transform_u!` is called on the odet but is a no-op (ifix=0)
-- Outer plasma uses serial Riccati integration for numerical stability
-- `odet.u_store` holds chunk-endpoint Riccati states, not dense Euler-Lagrange ξ, and
-  `odet.u_store_el_basis` stays `false`: this integrator never claims the EL basis, so
-  PerturbedEquilibrium and the HDF5 forward-integration ξ datasets require the forward path.
+
+  - No Gaussian reduction in the propagator BVP phase (crossings use the
+    Riccati-style algorithm, `odet.ifix` stays 0)
+  - `transform_u!` is called on the odet but is a no-op (ifix=0)
+  - Outer plasma uses serial Riccati integration for numerical stability
+  - `odet.u_store` holds chunk-endpoint Riccati states, not dense Euler-Lagrange ξ, and
+    `odet.u_store_el_basis` stays `false`: this integrator never claims the EL basis, so
+    PerturbedEquilibrium and the HDF5 forward-integration ξ datasets require the forward path.
 
 **Bidirectional integration for large-N accuracy:**
 The crossing chunk (nearest to each rational surface singL[j]) is integrated *backward*
@@ -1577,9 +1586,9 @@ end
 
 # Build odet and initialize at the magnetic axis. Same path as serial eulerlagrange_integration.
 function _initialize_parallel_odet(ctrl::ForceFreeStatesControl,
-                                   equil::Equilibrium.PlasmaEquilibrium,
-                                   ffit::FourFitVars,
-                                   intr::ForceFreeStatesInternal)
+    equil::Equilibrium.PlasmaEquilibrium,
+    ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     odet = OdeState(intr.numpert_total, ctrl.numsteps_init, ctrl.numunorms_init, intr.msing)
     if ctrl.sing_start <= 0
         initialize_el_at_axis!(odet, ctrl, ffit, equil.profiles, intr)
@@ -1598,7 +1607,7 @@ end
 # per-thread proxy OdeStates sized by maxthreadid() (Julia 1.9+ may report threadid
 # values above nthreads() due to the interactive thread pool).
 function _setup_parallel_chunks_and_proxies(odet::OdeState, ctrl::ForceFreeStatesControl,
-                                            intr::ForceFreeStatesInternal)
+    intr::ForceFreeStatesInternal)
     # Bidirectional chunks: crossing chunks are assigned direction=-1 so they are
     # integrated backward. The resulting Φ_bwd is well-conditioned because growing EL
     # solutions decay backward; forward propagation is recovered via LU solve in
@@ -1612,8 +1621,8 @@ function _setup_parallel_chunks_and_proxies(odet::OdeState, ctrl::ForceFreeState
 end
 
 function _log_parallel_start(ctrl::ForceFreeStatesControl, odet::OdeState,
-                             equil::Equilibrium.PlasmaEquilibrium,
-                             chunks::Vector{IntegrationChunk})
+    equil::Equilibrium.PlasmaEquilibrium,
+    chunks::Vector{IntegrationChunk})
     ctrl.verbose || return
     @info "   ψ = $((@sprintf "%.3f" odet.psifac)),  q = $((@sprintf "%.3f" equil.profiles.q_spline(odet.psifac)))"
     @info "   Riccati FM: $(length(chunks)) chunks over $(Threads.nthreads()) thread$(Threads.nthreads() == 1 ? "" : "s")"
@@ -1624,14 +1633,14 @@ end
 # Each chunk is independent (identity IC, no accumulated state), so the result does not
 # depend on how chunks are distributed across threads.
 function _run_parallel_bvp_phase!(propagators::Vector{ChunkPropagator},
-                                  chunks::Vector{IntegrationChunk},
-                                  ctrl::ForceFreeStatesControl,
-                                  equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                  intr::ForceFreeStatesInternal,
-                                  odet_proxies::Vector{OdeState})
+    chunks::Vector{IntegrationChunk},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal,
+    odet_proxies::Vector{OdeState})
     Threads.@threads :static for i in eachindex(chunks)
         integrate_propagator_chunk!(propagators[i], chunks[i], ctrl, equil, ffit, intr,
-                                    odet_proxies[Threads.threadid()])
+            odet_proxies[Threads.threadid()])
     end
 end
 
@@ -1643,10 +1652,10 @@ end
 # the well-conditioned Riccati S at each surface's left boundary for use as the Δ' BVP
 # axis BC. Returns (S_at_surface_left, last_crossing_step).
 function _assemble_propagators_serially!(odet::OdeState, propagators::Vector{ChunkPropagator},
-                                         chunks::Vector{IntegrationChunk},
-                                         ctrl::ForceFreeStatesControl,
-                                         equil::Equilibrium.PlasmaEquilibrium,
-                                         ffit::FourFitVars, intr::ForceFreeStatesInternal)
+    chunks::Vector{IntegrationChunk},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium,
+    ffit::FourFitVars, intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     S_at_surface_left = Matrix{ComplexF64}[]
     last_crossing_step = 1
@@ -1693,9 +1702,9 @@ end
 # entry at last_crossing_step holds (U₁_new, U₂_new) from riccati_cross_ideal_singular_surf!
 # before renormalization; we renorm here to (S_new, I) as the Riccati starting state.
 function _reintegrate_outer_plasma!(odet::OdeState, last_crossing_step::Int,
-                                    ctrl::ForceFreeStatesControl,
-                                    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                                    intr::ForceFreeStatesInternal)
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     odet.u .= odet.u_store[:, :, :, last_crossing_step]
     odet.psifac = odet.psi_store[last_crossing_step]
@@ -1703,7 +1712,7 @@ function _reintegrate_outer_plasma!(odet::OdeState, last_crossing_step::Int,
     odet.step = last_crossing_step + 1
     renormalize_riccati_inplace!(odet.u, N)
     outer_chunk = IntegrationChunk(; psi_start=odet.psifac, psi_end=intr.psilim * (1 - eps),
-                                   needs_crossing=false, ising=0)
+        needs_crossing=false, ising=0)
     riccati_integrate_chunk!(odet, ctrl, equil, ffit, intr, outer_chunk)
     # Post: odet.u is in (S, I) form; odet.step points to next empty slot.
 end
@@ -1717,10 +1726,10 @@ end
 # original psilim — silently shifting the outermost rational's Δ' by tens of percent.
 # Returns the (possibly truncated) chunks and propagators arrays.
 function _handle_edge_dW_scan!(odet::OdeState, chunks::Vector{IntegrationChunk},
-                               propagators::Vector{ChunkPropagator},
-                               ctrl::ForceFreeStatesControl,
-                               equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
-                               intr::ForceFreeStatesInternal)
+    propagators::Vector{ChunkPropagator},
+    ctrl::ForceFreeStatesControl,
+    equil::Equilibrium.PlasmaEquilibrium, ffit::FourFitVars,
+    intr::ForceFreeStatesInternal)
     N = intr.numpert_total
     odet.step -= 1
     trim_storage!(odet)
@@ -1754,22 +1763,22 @@ function _handle_edge_dW_scan!(odet::OdeState, chunks::Vector{IntegrationChunk},
     end
     straddling = chunks[last_chunk_idx]
     if straddling.psi_end > peak_psi
-        new_chunk = IntegrationChunk(
-            psi_start = straddling.psi_start,
-            psi_end   = peak_psi,
-            needs_crossing = straddling.needs_crossing,
-            ising     = straddling.ising,
-            direction = straddling.direction,
+        new_chunk = IntegrationChunk(;
+            psi_start=straddling.psi_start,
+            psi_end=peak_psi,
+            needs_crossing=straddling.needs_crossing,
+            ising=straddling.ising,
+            direction=straddling.direction
         )
         chunks[last_chunk_idx] = new_chunk
         odet_proxy = OdeState(N, 1, 1, 0)
         integrate_propagator_chunk!(propagators[last_chunk_idx], new_chunk,
-                                    ctrl, equil, ffit, intr, odet_proxy)
+            ctrl, equil, ffit, intr, odet_proxy)
     end
     n_dropped = 0
     if last_chunk_idx < length(chunks)
         n_dropped = length(chunks) - last_chunk_idx
-        chunks      = chunks[1:last_chunk_idx]
+        chunks = chunks[1:last_chunk_idx]
         propagators = propagators[1:last_chunk_idx]
     end
     if ctrl.verbose
diff --git a/src/ForceFreeStates/Sing.jl b/src/ForceFreeStates/Sing.jl
index 960530f6a..33694477a 100644
--- a/src/ForceFreeStates/Sing.jl
+++ b/src/ForceFreeStates/Sing.jl
@@ -123,9 +123,11 @@ function sing_lim!(intr::ForceFreeStatesInternal, ctrl::ForceFreeStatesControl,
     # strategy. Multi-n runs are not supported — the "outermost rational + dmlim/n" cutoff depends
     # on which n is used — and fall back to qhigh / psihigh truncation with a warning.
     if ctrl.set_psilim_via_dmlim && intr.nlow <= 0
-        error("sing_lim!: set_psilim_via_dmlim = true requires a resolved toroidal range, but got intr.nlow=$(intr.nlow). " *
-              "Assign intr.nlow / intr.nhigh (from ctrl.nn_low / ctrl.nn_high) before calling sing_lim!, " *
-              "or set set_psilim_via_dmlim = false to truncate via qhigh / psihigh instead.")
+        error(
+            "sing_lim!: set_psilim_via_dmlim = true requires a resolved toroidal range, but got intr.nlow=$(intr.nlow). " *
+            "Assign intr.nlow / intr.nhigh (from ctrl.nn_low / ctrl.nn_high) before calling sing_lim!, " *
+            "or set set_psilim_via_dmlim = false to truncate via qhigh / psihigh instead."
+        )
     elseif ctrl.set_psilim_via_dmlim && intr.nlow != intr.nhigh
         @warn "set_psilim_via_dmlim = true is ignored for multi-n runs (nn_low=$(intr.nlow), nn_high=$(intr.nhigh)); falling back to qhigh / psihigh truncation."
     elseif ctrl.set_psilim_via_dmlim
diff --git a/src/ForcingTerms/BiotSavart.jl b/src/ForcingTerms/BiotSavart.jl
index c03ab07c6..cd0bbb79e 100644
--- a/src/ForcingTerms/BiotSavart.jl
+++ b/src/ForcingTerms/BiotSavart.jl
@@ -45,27 +45,30 @@ Build contiguous segment-vector and midpoint arrays for strand `(j,k)` of coil s
 function precompute_segments(cs::CoilSet, j::Int, k::Int, current_nw::Float64)
     nsec = cs.nsec
     nseg = nsec - 1
-    dlx  = Vector{Float64}(undef, nseg)
-    dly  = Vector{Float64}(undef, nseg)
-    dlz  = Vector{Float64}(undef, nseg)
+    dlx = Vector{Float64}(undef, nseg)
+    dly = Vector{Float64}(undef, nseg)
+    dlz = Vector{Float64}(undef, nseg)
     midx = Vector{Float64}(undef, nseg)
     midy = Vector{Float64}(undef, nseg)
     midz = Vector{Float64}(undef, nseg)
 
     @inbounds for l in 1:nseg
-        x1 = cs.x[j, k, l];   x2 = cs.x[j, k, l+1]
-        y1 = cs.y[j, k, l];   y2 = cs.y[j, k, l+1]
-        z1 = cs.z[j, k, l];   z2 = cs.z[j, k, l+1]
-        dlx[l]  = x2 - x1
-        dly[l]  = y2 - y1
-        dlz[l]  = z2 - z1
+        x1 = cs.x[j, k, l]
+        x2 = cs.x[j, k, l+1]
+        y1 = cs.y[j, k, l]
+        y2 = cs.y[j, k, l+1]
+        z1 = cs.z[j, k, l]
+        z2 = cs.z[j, k, l+1]
+        dlx[l] = x2 - x1
+        dly[l] = y2 - y1
+        dlz[l] = z2 - z1
         midx[l] = (x1 + x2) * 0.5
         midy[l] = (y1 + y2) * 0.5
         midz[l] = (z1 + z2) * 0.5
     end
 
     return PrecomputedSegments(dlx, dly, dlz, midx, midy, midz,
-                               MU0_OVER_4PI * current_nw, nseg)
+        MU0_OVER_4PI * current_nw, nseg)
 end
 
 """
@@ -74,15 +77,16 @@ end
 Accumulate the Biot-Savart contribution from one conductor strand onto observation point `i`.
 
 Uses midpoint-rule integration: each segment from point `l` to `l+1` contributes:
-  dB = μ₀/(4π) × current_nw × (dl⃗ × r⃗) / |r|³
+dB = μ₀/(4π) × current_nw × (dl⃗ × r⃗) / |r|³
 where `r⃗` is the displacement from the segment midpoint to the observer.
 
 ## Arguments
-- `Bx`, `By`, `Bz`: pre-allocated output arrays (Cartesian field, Tesla); updated in-place
-- `i`: observation point index
-- `obs_x/y/z`: observer Cartesian coordinates [m]
-- `xs`, `ys`, `zs`: strand point coordinates [nsec], Cartesian [m]
-- `current_nw`: effective current = I × nw [A⋅turns]
+
+  - `Bx`, `By`, `Bz`: pre-allocated output arrays (Cartesian field, Tesla); updated in-place
+  - `i`: observation point index
+  - `obs_x/y/z`: observer Cartesian coordinates [m]
+  - `xs`, `ys`, `zs`: strand point coordinates [nsec], Cartesian [m]
+  - `current_nw`: effective current = I × nw [A⋅turns]
 """
 function accumulate_strand_field!(
     Bx::AbstractVector{Float64},
@@ -98,7 +102,7 @@ function accumulate_strand_field!(
     nsec = length(xs)
     prefactor = MU0_OVER_4PI * current_nw
 
-    @inbounds for l in 1:(nsec - 1)
+    @inbounds for l in 1:(nsec-1)
         # Segment vector dl⃗
         dlx = xs[l+1] - xs[l]
         dly = ys[l+1] - ys[l]
@@ -109,7 +113,7 @@ function accumulate_strand_field!(
         ry = obs_y - (ys[l] + ys[l+1]) * 0.5
         rz = obs_z - (zs[l] + zs[l+1]) * 0.5
 
-        r2  = rx*rx + ry*ry + rz*rz
+        r2 = rx*rx + ry*ry + rz*rz
         r2 < BIOT_SAVART_MIN_DIST_SQ && continue  # avoid singularity (observer on conductor)
         inv_r3 = prefactor / (r2 * sqrt(r2))
 
@@ -146,8 +150,8 @@ cache efficiency.
         r2 = rx*rx + ry*ry + rz*rz
         # Guard: zero contribution if observer is on conductor (avoids Inf/NaN)
         safe_r2 = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, one(r2), r2)
-        scale   = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, zero(pf), pf)
-        inv_r3  = scale / (safe_r2 * sqrt(safe_r2))
+        scale = ifelse(r2 < BIOT_SAVART_MIN_DIST_SQ, zero(pf), pf)
+        inv_r3 = scale / (safe_r2 * sqrt(safe_r2))
 
         bx_acc += (seg.dly[l]*rz - seg.dlz[l]*ry) * inv_r3
         by_acc += (seg.dlz[l]*rx - seg.dlx[l]*rz) * inv_r3
@@ -172,9 +176,10 @@ Performance: segment vectors and midpoints are pre-computed once outside the
 observation-point loop, then accessed from contiguous arrays in the inner kernel.
 
 ## Arguments
-- `B_R`, `B_phi`, `B_Z`: output field arrays [Tesla], length `nobs`; overwritten
-- `obs_R`, `obs_phi`, `obs_Z`: observation point cylindrical coordinates [m, rad, m]
-- `coil_sets`: conductor geometry and current data
+
+  - `B_R`, `B_phi`, `B_Z`: output field arrays [Tesla], length `nobs`; overwritten
+  - `obs_R`, `obs_phi`, `obs_Z`: observation point cylindrical coordinates [m, rad, m]
+  - `coil_sets`: conductor geometry and current data
 """
 function compute_biot_savart_boundary!(
     B_R::AbstractVector{Float64},
@@ -204,8 +209,8 @@ function compute_biot_savart_boundary!(
     # Pre-compute sincos for cylindrical ↔ Cartesian conversion (avoids redundant trig)
     cos_phi = Vector{Float64}(undef, nobs)
     sin_phi = Vector{Float64}(undef, nobs)
-    obs_x   = Vector{Float64}(undef, nobs)
-    obs_y   = Vector{Float64}(undef, nobs)
+    obs_x = Vector{Float64}(undef, nobs)
+    obs_y = Vector{Float64}(undef, nobs)
 
     @inbounds for i in 1:nobs
         sp, cp = sincos(obs_phi[i])
@@ -218,7 +223,9 @@ function compute_biot_savart_boundary!(
     # Each thread writes exclusively to its own index i — no synchronization needed
     Threads.@threads for i in 1:nobs
         @inbounds begin
-            ox = obs_x[i]; oy = obs_y[i]; oz = obs_Z[i]
+            ox = obs_x[i]
+            oy = obs_y[i]
+            oz = obs_Z[i]
             bx_total = 0.0
             by_total = 0.0
             bz_total = 0.0
@@ -233,9 +240,9 @@ function compute_biot_savart_boundary!(
             # Convert Cartesian → cylindrical in-place
             cp = cos_phi[i]
             sp = sin_phi[i]
-            B_R[i]   =  bx_total * cp + by_total * sp
+            B_R[i] = bx_total * cp + by_total * sp
             B_phi[i] = -bx_total * sp + by_total * cp
-            B_Z[i]   =  bz_total
+            B_Z[i] = bz_total
         end
     end
 end
diff --git a/src/ForcingTerms/CoilGeometry.jl b/src/ForcingTerms/CoilGeometry.jl
index b2d19ab21..477502927 100644
--- a/src/ForcingTerms/CoilGeometry.jl
+++ b/src/ForcingTerms/CoilGeometry.jl
@@ -265,7 +265,7 @@ function read_coil_dat(filepath::String)
             for l in 1:nsec
                 # Skip blank/comment lines between data rows
                 while row <= length(lines) &&
-                    (isempty(strip(lines[row])) || startswith(strip(lines[row]), "#"))
+                      (isempty(strip(lines[row])) || startswith(strip(lines[row]), "#"))
                     row += 1
                 end
                 row > length(lines) && error(
@@ -402,10 +402,12 @@ function make_window_pane_standoff(equil; standoff::Real, poloidal_angle::Real,
     # boundary along the normal is standoff - half*|sin(tilt)| — the tilt tips the legs toward the
     # surface, while tangential displacement leaves the normal clearance unchanged.
     clearance = standoff - half * abs(sin(deg2rad(poloidal_tilt)))
-    clearance > 0 || error("make_window_pane_standoff: coil intersects the plasma boundary " *
-                           "(standoff=$standoff, poloidal_length=$poloidal_length, poloidal_tilt=$poloidal_tilt); " *
-                           "an external coil must lie outside the control surface — increase standoff or reduce " *
-                           "poloidal_length/poloidal_tilt")
+    clearance > 0 || error(
+        "make_window_pane_standoff: coil intersects the plasma boundary " *
+        "(standoff=$standoff, poloidal_length=$poloidal_length, poloidal_tilt=$poloidal_tilt); " *
+        "an external coil must lie outside the control surface — increase standoff or reduce " *
+        "poloidal_length/poloidal_tilt"
+    )
 
     c1 = [Rc - half * uR, Zc - half * uZ]
     c2 = [Rc + half * uR, Zc + half * uZ]
diff --git a/src/ForcingTerms/coil_geometries/jet_ex_mid.dat b/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
index ea2549ad3..639e8ca41 100644
--- a/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
+++ b/src/ForcingTerms/coil_geometries/jet_ex_mid.dat
@@ -1,169 +1,169 @@
-    4    1   42     1.00 
-   5.5000e+00  0.0000e+00   3.0900e+00 
-   5.4795e+00  4.7404e-01   3.0900e+00 
-   5.4183e+00  9.4456e-01   3.0900e+00 
-   5.3167e+00  1.4080e+00   3.0900e+00 
-   5.1756e+00  1.8611e+00   3.0900e+00 
-   4.9959e+00  2.3002e+00   3.0900e+00 
-   4.7791e+00  2.7222e+00   3.0900e+00 
-   4.5266e+00  3.1240e+00   3.0900e+00 
-   4.2405e+00  3.5025e+00   3.0900e+00 
-   3.9229e+00  3.8550e+00   3.0900e+00 
-   3.5760e+00  4.1788e+00   3.0900e+00 
-   3.2025e+00  4.4714e+00   3.0900e+00 
-   2.8052e+00  4.7308e+00   3.0900e+00 
-   2.3870e+00  4.9550e+00   3.0900e+00 
-   1.9511e+00  5.1423e+00   3.0900e+00 
-   1.5006e+00  5.2913e+00   3.0900e+00 
-   1.0390e+00  5.4010e+00   3.0900e+00 
-   5.6960e-01  5.4704e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   3.0900e+00 
-   9.5988e-02  5.4992e+00   1.5700e+00 
-   9.5988e-02  5.4992e+00   5.0000e-02 
-   9.5988e-02  5.4992e+00  -1.4700e+00 
-   9.5988e-02  5.4992e+00  -2.9900e+00 
-   7.0430e-01  5.4547e+00  -2.9900e+00 
-   1.3039e+00  5.3432e+00  -2.9900e+00 
-   1.8876e+00  5.1660e+00  -2.9900e+00 
-   2.4479e+00  4.9252e+00  -2.9900e+00 
-   2.9782e+00  4.6239e+00  -2.9900e+00 
-   3.4719e+00  4.2657e+00  -2.9900e+00 
-   3.9229e+00  3.8550e+00  -2.9900e+00 
-   4.3256e+00  3.3969e+00  -2.9900e+00 
-   4.6751e+00  2.8971e+00  -2.9900e+00 
-   4.9672e+00  2.3616e+00  -2.9900e+00 
-   5.1981e+00  1.7971e+00  -2.9900e+00 
-   5.3651e+00  1.2105e+00  -2.9900e+00 
-   5.4662e+00  6.0899e-01  -2.9900e+00 
-   5.5000e+00  0.0000e+00  -2.9900e+00 
-   5.5000e+00  0.0000e+00  -1.4700e+00 
-   5.5000e+00  0.0000e+00   5.0000e-02 
-   5.5000e+00  0.0000e+00   1.5700e+00 
-   5.5000e+00  0.0000e+00   3.0900e+00 
-   3.3678e-16  5.5000e+00   3.0900e+00 
-  -4.7404e-01  5.4795e+00   3.0900e+00 
-  -9.4456e-01  5.4183e+00   3.0900e+00 
-  -1.4080e+00  5.3167e+00   3.0900e+00 
-  -1.8611e+00  5.1756e+00   3.0900e+00 
-  -2.3002e+00  4.9959e+00   3.0900e+00 
-  -2.7222e+00  4.7791e+00   3.0900e+00 
-  -3.1240e+00  4.5266e+00   3.0900e+00 
-  -3.5025e+00  4.2405e+00   3.0900e+00 
-  -3.8550e+00  3.9229e+00   3.0900e+00 
-  -4.1788e+00  3.5760e+00   3.0900e+00 
-  -4.4714e+00  3.2025e+00   3.0900e+00 
-  -4.7308e+00  2.8052e+00   3.0900e+00 
-  -4.9550e+00  2.3870e+00   3.0900e+00 
-  -5.1423e+00  1.9511e+00   3.0900e+00 
-  -5.2913e+00  1.5006e+00   3.0900e+00 
-  -5.4010e+00  1.0390e+00   3.0900e+00 
-  -5.4704e+00  5.6960e-01   3.0900e+00 
-  -5.4992e+00  9.5988e-02   3.0900e+00 
-  -5.4992e+00  9.5988e-02   3.0900e+00 
-  -5.4992e+00  9.5988e-02   1.5700e+00 
-  -5.4992e+00  9.5988e-02   5.0000e-02 
-  -5.4992e+00  9.5988e-02  -1.4700e+00 
-  -5.4992e+00  9.5988e-02  -2.9900e+00 
-  -5.4547e+00  7.0430e-01  -2.9900e+00 
-  -5.3432e+00  1.3039e+00  -2.9900e+00 
-  -5.1660e+00  1.8876e+00  -2.9900e+00 
-  -4.9252e+00  2.4479e+00  -2.9900e+00 
-  -4.6239e+00  2.9782e+00  -2.9900e+00 
-  -4.2657e+00  3.4719e+00  -2.9900e+00 
-  -3.8550e+00  3.9229e+00  -2.9900e+00 
-  -3.3969e+00  4.3256e+00  -2.9900e+00 
-  -2.8971e+00  4.6751e+00  -2.9900e+00 
-  -2.3616e+00  4.9672e+00  -2.9900e+00 
-  -1.7971e+00  5.1981e+00  -2.9900e+00 
-  -1.2105e+00  5.3651e+00  -2.9900e+00 
-  -6.0899e-01  5.4662e+00  -2.9900e+00 
-   3.3678e-16  5.5000e+00  -2.9900e+00 
-   3.3678e-16  5.5000e+00  -1.4700e+00 
-   3.3678e-16  5.5000e+00   5.0000e-02 
-   3.3678e-16  5.5000e+00   1.5700e+00 
-   3.3678e-16  5.5000e+00   3.0900e+00 
-  -5.5000e+00  6.7356e-16   3.0900e+00 
-  -5.4795e+00 -4.7404e-01   3.0900e+00 
-  -5.4183e+00 -9.4456e-01   3.0900e+00 
-  -5.3167e+00 -1.4080e+00   3.0900e+00 
-  -5.1756e+00 -1.8611e+00   3.0900e+00 
-  -4.9959e+00 -2.3002e+00   3.0900e+00 
-  -4.7791e+00 -2.7222e+00   3.0900e+00 
-  -4.5266e+00 -3.1240e+00   3.0900e+00 
-  -4.2405e+00 -3.5025e+00   3.0900e+00 
-  -3.9229e+00 -3.8550e+00   3.0900e+00 
-  -3.5760e+00 -4.1788e+00   3.0900e+00 
-  -3.2025e+00 -4.4714e+00   3.0900e+00 
-  -2.8052e+00 -4.7308e+00   3.0900e+00 
-  -2.3870e+00 -4.9550e+00   3.0900e+00 
-  -1.9511e+00 -5.1423e+00   3.0900e+00 
-  -1.5006e+00 -5.2913e+00   3.0900e+00 
-  -1.0390e+00 -5.4010e+00   3.0900e+00 
-  -5.6960e-01 -5.4704e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   3.0900e+00 
-  -9.5988e-02 -5.4992e+00   1.5700e+00 
-  -9.5988e-02 -5.4992e+00   5.0000e-02 
-  -9.5988e-02 -5.4992e+00  -1.4700e+00 
-  -9.5988e-02 -5.4992e+00  -2.9900e+00 
-  -7.0430e-01 -5.4547e+00  -2.9900e+00 
-  -1.3039e+00 -5.3432e+00  -2.9900e+00 
-  -1.8876e+00 -5.1660e+00  -2.9900e+00 
-  -2.4479e+00 -4.9252e+00  -2.9900e+00 
-  -2.9782e+00 -4.6239e+00  -2.9900e+00 
-  -3.4719e+00 -4.2657e+00  -2.9900e+00 
-  -3.9229e+00 -3.8550e+00  -2.9900e+00 
-  -4.3256e+00 -3.3969e+00  -2.9900e+00 
-  -4.6751e+00 -2.8971e+00  -2.9900e+00 
-  -4.9672e+00 -2.3616e+00  -2.9900e+00 
-  -5.1981e+00 -1.7971e+00  -2.9900e+00 
-  -5.3651e+00 -1.2105e+00  -2.9900e+00 
-  -5.4662e+00 -6.0899e-01  -2.9900e+00 
-  -5.5000e+00  6.7356e-16  -2.9900e+00 
-  -5.5000e+00  6.7356e-16  -1.4700e+00 
-  -5.5000e+00  6.7356e-16   5.0000e-02 
-  -5.5000e+00  6.7356e-16   1.5700e+00 
-  -5.5000e+00  6.7356e-16   3.0900e+00 
-  -1.0103e-15 -5.5000e+00   3.0900e+00 
-   4.7404e-01 -5.4795e+00   3.0900e+00 
-   9.4456e-01 -5.4183e+00   3.0900e+00 
-   1.4080e+00 -5.3167e+00   3.0900e+00 
-   1.8611e+00 -5.1756e+00   3.0900e+00 
-   2.3002e+00 -4.9959e+00   3.0900e+00 
-   2.7222e+00 -4.7791e+00   3.0900e+00 
-   3.1240e+00 -4.5266e+00   3.0900e+00 
-   3.5025e+00 -4.2405e+00   3.0900e+00 
-   3.8550e+00 -3.9229e+00   3.0900e+00 
-   4.1788e+00 -3.5760e+00   3.0900e+00 
-   4.4714e+00 -3.2025e+00   3.0900e+00 
-   4.7308e+00 -2.8052e+00   3.0900e+00 
-   4.9550e+00 -2.3870e+00   3.0900e+00 
-   5.1423e+00 -1.9511e+00   3.0900e+00 
-   5.2913e+00 -1.5006e+00   3.0900e+00 
-   5.4010e+00 -1.0390e+00   3.0900e+00 
-   5.4704e+00 -5.6960e-01   3.0900e+00 
-   5.4992e+00 -9.5988e-02   3.0900e+00 
-   5.4992e+00 -9.5988e-02   3.0900e+00 
-   5.4992e+00 -9.5988e-02   1.5700e+00 
-   5.4992e+00 -9.5988e-02   5.0000e-02 
-   5.4992e+00 -9.5988e-02  -1.4700e+00 
-   5.4992e+00 -9.5988e-02  -2.9900e+00 
-   5.4547e+00 -7.0430e-01  -2.9900e+00 
-   5.3432e+00 -1.3039e+00  -2.9900e+00 
-   5.1660e+00 -1.8876e+00  -2.9900e+00 
-   4.9252e+00 -2.4479e+00  -2.9900e+00 
-   4.6239e+00 -2.9782e+00  -2.9900e+00 
-   4.2657e+00 -3.4719e+00  -2.9900e+00 
-   3.8550e+00 -3.9229e+00  -2.9900e+00 
-   3.3969e+00 -4.3256e+00  -2.9900e+00 
-   2.8971e+00 -4.6751e+00  -2.9900e+00 
-   2.3616e+00 -4.9672e+00  -2.9900e+00 
-   1.7971e+00 -5.1981e+00  -2.9900e+00 
-   1.2105e+00 -5.3651e+00  -2.9900e+00 
-   6.0899e-01 -5.4662e+00  -2.9900e+00 
-  -1.0103e-15 -5.5000e+00  -2.9900e+00 
-  -1.0103e-15 -5.5000e+00  -1.4700e+00 
-  -1.0103e-15 -5.5000e+00   5.0000e-02 
-  -1.0103e-15 -5.5000e+00   1.5700e+00 
-  -1.0103e-15 -5.5000e+00   3.0900e+00 
+    4    1   42     1.00
+   5.5000e+00  0.0000e+00   3.0900e+00
+   5.4795e+00  4.7404e-01   3.0900e+00
+   5.4183e+00  9.4456e-01   3.0900e+00
+   5.3167e+00  1.4080e+00   3.0900e+00
+   5.1756e+00  1.8611e+00   3.0900e+00
+   4.9959e+00  2.3002e+00   3.0900e+00
+   4.7791e+00  2.7222e+00   3.0900e+00
+   4.5266e+00  3.1240e+00   3.0900e+00
+   4.2405e+00  3.5025e+00   3.0900e+00
+   3.9229e+00  3.8550e+00   3.0900e+00
+   3.5760e+00  4.1788e+00   3.0900e+00
+   3.2025e+00  4.4714e+00   3.0900e+00
+   2.8052e+00  4.7308e+00   3.0900e+00
+   2.3870e+00  4.9550e+00   3.0900e+00
+   1.9511e+00  5.1423e+00   3.0900e+00
+   1.5006e+00  5.2913e+00   3.0900e+00
+   1.0390e+00  5.4010e+00   3.0900e+00
+   5.6960e-01  5.4704e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   3.0900e+00
+   9.5988e-02  5.4992e+00   1.5700e+00
+   9.5988e-02  5.4992e+00   5.0000e-02
+   9.5988e-02  5.4992e+00  -1.4700e+00
+   9.5988e-02  5.4992e+00  -2.9900e+00
+   7.0430e-01  5.4547e+00  -2.9900e+00
+   1.3039e+00  5.3432e+00  -2.9900e+00
+   1.8876e+00  5.1660e+00  -2.9900e+00
+   2.4479e+00  4.9252e+00  -2.9900e+00
+   2.9782e+00  4.6239e+00  -2.9900e+00
+   3.4719e+00  4.2657e+00  -2.9900e+00
+   3.9229e+00  3.8550e+00  -2.9900e+00
+   4.3256e+00  3.3969e+00  -2.9900e+00
+   4.6751e+00  2.8971e+00  -2.9900e+00
+   4.9672e+00  2.3616e+00  -2.9900e+00
+   5.1981e+00  1.7971e+00  -2.9900e+00
+   5.3651e+00  1.2105e+00  -2.9900e+00
+   5.4662e+00  6.0899e-01  -2.9900e+00
+   5.5000e+00  0.0000e+00  -2.9900e+00
+   5.5000e+00  0.0000e+00  -1.4700e+00
+   5.5000e+00  0.0000e+00   5.0000e-02
+   5.5000e+00  0.0000e+00   1.5700e+00
+   5.5000e+00  0.0000e+00   3.0900e+00
+   3.3678e-16  5.5000e+00   3.0900e+00
+  -4.7404e-01  5.4795e+00   3.0900e+00
+  -9.4456e-01  5.4183e+00   3.0900e+00
+  -1.4080e+00  5.3167e+00   3.0900e+00
+  -1.8611e+00  5.1756e+00   3.0900e+00
+  -2.3002e+00  4.9959e+00   3.0900e+00
+  -2.7222e+00  4.7791e+00   3.0900e+00
+  -3.1240e+00  4.5266e+00   3.0900e+00
+  -3.5025e+00  4.2405e+00   3.0900e+00
+  -3.8550e+00  3.9229e+00   3.0900e+00
+  -4.1788e+00  3.5760e+00   3.0900e+00
+  -4.4714e+00  3.2025e+00   3.0900e+00
+  -4.7308e+00  2.8052e+00   3.0900e+00
+  -4.9550e+00  2.3870e+00   3.0900e+00
+  -5.1423e+00  1.9511e+00   3.0900e+00
+  -5.2913e+00  1.5006e+00   3.0900e+00
+  -5.4010e+00  1.0390e+00   3.0900e+00
+  -5.4704e+00  5.6960e-01   3.0900e+00
+  -5.4992e+00  9.5988e-02   3.0900e+00
+  -5.4992e+00  9.5988e-02   3.0900e+00
+  -5.4992e+00  9.5988e-02   1.5700e+00
+  -5.4992e+00  9.5988e-02   5.0000e-02
+  -5.4992e+00  9.5988e-02  -1.4700e+00
+  -5.4992e+00  9.5988e-02  -2.9900e+00
+  -5.4547e+00  7.0430e-01  -2.9900e+00
+  -5.3432e+00  1.3039e+00  -2.9900e+00
+  -5.1660e+00  1.8876e+00  -2.9900e+00
+  -4.9252e+00  2.4479e+00  -2.9900e+00
+  -4.6239e+00  2.9782e+00  -2.9900e+00
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+   5.4992e+00 -9.5988e-02   1.5700e+00
+   5.4992e+00 -9.5988e-02   5.0000e-02
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+   5.4547e+00 -7.0430e-01  -2.9900e+00
+   5.3432e+00 -1.3039e+00  -2.9900e+00
+   5.1660e+00 -1.8876e+00  -2.9900e+00
+   4.9252e+00 -2.4479e+00  -2.9900e+00
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+   4.2657e+00 -3.4719e+00  -2.9900e+00
+   3.8550e+00 -3.9229e+00  -2.9900e+00
+   3.3969e+00 -4.3256e+00  -2.9900e+00
+   2.8971e+00 -4.6751e+00  -2.9900e+00
+   2.3616e+00 -4.9672e+00  -2.9900e+00
+   1.7971e+00 -5.1981e+00  -2.9900e+00
+   1.2105e+00 -5.3651e+00  -2.9900e+00
+   6.0899e-01 -5.4662e+00  -2.9900e+00
+  -1.0103e-15 -5.5000e+00  -2.9900e+00
+  -1.0103e-15 -5.5000e+00  -1.4700e+00
+  -1.0103e-15 -5.5000e+00   5.0000e-02
+  -1.0103e-15 -5.5000e+00   1.5700e+00
+  -1.0103e-15 -5.5000e+00   3.0900e+00
diff --git a/src/ForcingTerms/coil_geometries/jtext_l.dat b/src/ForcingTerms/coil_geometries/jtext_l.dat
index b744bedd8..476b55451 100644
--- a/src/ForcingTerms/coil_geometries/jtext_l.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_l.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.2000e+00   1.6000e-02  -3.9800e-01 
-   1.2000e+00   1.6000e-02  -3.3300e-01 
-   1.2000e+00   2.5370e-02  -3.1000e-01 
-   1.2000e+00   4.8000e-02  -3.0100e-01 
-   1.2000e+00   1.3200e-01  -3.0100e-01 
-   1.1880e+00   1.5800e-01  -3.0100e-01 
-   1.1620e+00   1.6300e-01  -3.0100e-01 
-   7.9400e-01   9.0000e-02  -3.0100e-01 
-   7.7500e-01   7.9000e-02  -3.0100e-01 
-   7.6800e-01   5.8000e-02  -3.0100e-01 
-   7.6800e-01  -6.2000e-02  -3.0100e-01 
-   7.7500e-01  -8.3000e-02  -3.0100e-01 
-   7.9500e-01  -9.4000e-02  -3.0100e-01 
-   1.1620e+00  -1.6700e-01  -3.0100e-01 
-   1.1880e+00  -1.6000e-01  -3.0100e-01 
-   1.2000e+00  -1.3500e-01  -3.0100e-01 
-   1.2000e+00  -5.0000e-02  -3.0100e-01 
-   1.2000e+00  -2.5370e-02  -3.1000e-01 
-   1.2000e+00  -1.6000e-02  -3.3300e-01 
-   1.2000e+00  -1.6000e-02  -3.9800e-01 
-   1.6000e-02   1.2000e+00  -3.9800e-01 
-   1.6000e-02   1.2000e+00  -3.3300e-01 
-   2.5370e-02   1.2000e+00  -3.1000e-01 
-   4.8000e-02   1.2000e+00  -3.0100e-01 
-   1.3200e-01   1.2000e+00  -3.0100e-01 
-   1.5800e-01   1.1880e+00  -3.0100e-01 
-   1.6300e-01   1.1620e+00  -3.0100e-01 
-   9.0000e-02   7.9400e-01  -3.0100e-01 
-   7.9000e-02   7.7500e-01  -3.0100e-01 
-   5.8000e-02   7.6800e-01  -3.0100e-01 
-  -6.2000e-02   7.6800e-01  -3.0100e-01 
-  -8.3000e-02   7.7500e-01  -3.0100e-01 
-  -9.4000e-02   7.9500e-01  -3.0100e-01 
-  -1.6700e-01   1.1620e+00  -3.0100e-01 
-  -1.6000e-01   1.1880e+00  -3.0100e-01 
-  -1.3500e-01   1.2000e+00  -3.0100e-01 
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-  -7.7650e-01   1.6000e-02  -3.9800e-01 
-  -7.7650e-01   1.6000e-02  -3.3300e-01 
-  -7.7650e-01   2.5370e-02  -3.1000e-01 
-  -7.7650e-01   4.8000e-02  -3.0100e-01 
-  -7.7650e-01   6.1000e-02  -3.0100e-01 
-  -7.8350e-01   8.2000e-02  -3.0100e-01 
-  -8.0250e-01   9.3000e-02  -3.0100e-01 
-  -1.2015e+00   1.7100e-01  -3.0100e-01 
-  -1.2275e+00   1.6500e-01  -3.0100e-01 
-  -1.2395e+00   1.4100e-01  -3.0100e-01 
-  -1.2395e+00  -1.4100e-01  -3.0100e-01 
-  -1.2275e+00  -1.6600e-01  -3.0100e-01 
-  -1.2015e+00  -1.7200e-01  -3.0100e-01 
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+    4    1   20    1.00
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+   7.6800e-01   5.8000e-02  -3.0100e-01
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+   6.1000e-02  -7.7650e-01  -3.0100e-01
+   8.2000e-02  -7.8350e-01  -3.0100e-01
+   9.3000e-02  -8.0250e-01  -3.0100e-01
+   1.7100e-01  -1.2015e+00  -3.0100e-01
+   1.6500e-01  -1.2275e+00  -3.0100e-01
+   1.4100e-01  -1.2395e+00  -3.0100e-01
+  -1.4100e-01  -1.2395e+00  -3.0100e-01
+  -1.6600e-01  -1.2275e+00  -3.0100e-01
+  -1.7200e-01  -1.2015e+00  -3.0100e-01
+  -9.3000e-02  -8.0250e-01  -3.0100e-01
+  -8.2000e-02  -7.8350e-01  -3.0100e-01
+  -6.2000e-02  -7.7650e-01  -3.0100e-01
+  -4.9000e-02  -7.7650e-01  -3.0100e-01
+  -2.5370e-02  -7.7650e-01  -3.1000e-01
+  -1.6000e-02  -7.7650e-01  -3.3300e-01
+  -1.6000e-02  -7.7650e-01  -3.9800e-01
diff --git a/src/ForcingTerms/coil_geometries/jtext_m.dat b/src/ForcingTerms/coil_geometries/jtext_m.dat
index f211a2d1e..9defc821f 100644
--- a/src/ForcingTerms/coil_geometries/jtext_m.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_m.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.3300e+00   1.6000e-02   3.5600e-01 
-   1.2830e+00   1.6000e-02   2.6500e-01 
-   1.3065e+00   2.5370e-02   2.4300e-01 
-   1.3300e+00   4.8000e-02   2.1100e-01 
-   1.3300e+00   1.3200e-01   2.1100e-01 
-   1.3300e+00   1.5800e-01   2.0200e-01 
-   1.3300e+00   1.6300e-01   1.7900e-01 
-   1.3300e+00   9.0000e-02  -2.0600e-01 
-   1.3300e+00   7.9000e-02  -2.2900e-01 
-   1.3300e+00   5.8000e-02  -2.3800e-01 
-   1.3300e+00  -6.2000e-02  -2.3800e-01 
-   1.3300e+00  -8.3000e-02  -2.2900e-01 
-   1.3300e+00  -9.4000e-02  -2.0600e-01 
-   1.3300e+00  -1.6700e-01   1.7900e-01 
-   1.3300e+00  -1.6000e-01   2.0200e-01 
-   1.3300e+00  -1.3500e-01   2.1100e-01 
-   1.3300e+00  -5.0000e-02   2.1100e-01 
-   1.3065e+00  -2.5370e-02   2.4300e-01 
-   1.2830e+00  -1.6000e-02   2.6500e-01 
-   1.3300e+00  -1.6000e-02   3.5600e-01 
-  -8.7000e-02   1.2000e+00  -3.5600e-01 
-  -8.7000e-02   1.2000e+00  -2.6500e-01 
-  -7.1000e-02   1.2000e+00  -2.4300e-01 
-  -5.5000e-02   1.2000e+00  -2.1100e-01 
-   1.6900e-01   1.2000e+00  -2.1100e-01 
-   1.9100e-01   1.1880e+00  -2.0200e-01 
-   2.0100e-01   1.1620e+00  -1.7900e-01 
-   2.0100e-01   7.9400e-01   2.0600e-01 
-   1.9100e-01   7.7500e-01   2.2900e-01 
-   1.6900e-01   7.6800e-01   2.3800e-01 
-  -1.6800e-01   7.6800e-01   2.3800e-01 
-  -1.9100e-01   7.7500e-01   2.2900e-01 
-  -2.0000e-01   7.9500e-01   2.0600e-01 
-  -2.0000e-01   1.1620e+00  -1.7900e-01 
-  -1.9100e-01   1.1880e+00  -2.0200e-01 
-  -1.6800e-01   1.2000e+00  -2.1100e-01 
-  -1.5100e-01   1.2000e+00  -2.1100e-01 
-  -1.3500e-01   1.2000e+00  -2.4300e-01 
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-  -1.1900e-01   1.2000e+00  -3.5600e-01 
-  -1.3300e+00   1.6000e-02   3.5600e-01 
-  -1.2830e+00   1.6000e-02   2.6500e-01 
-  -1.3065e+00   2.5370e-02   2.4300e-01 
-  -1.3300e+00   4.8000e-02   2.1100e-01 
-  -1.3300e+00   6.1000e-02   2.1100e-01 
-  -1.3300e+00   8.2000e-02   2.0200e-01 
-  -1.3300e+00   9.3000e-02   1.7900e-01 
-  -1.3300e+00   1.7100e-01  -2.0600e-01 
-  -1.3300e+00   1.6500e-01  -2.2900e-01 
-  -1.3300e+00   1.4100e-01  -2.3800e-01 
-  -1.3300e+00  -1.4100e-01  -2.3800e-01 
-  -1.3300e+00  -1.6600e-01  -2.2900e-01 
-  -1.3300e+00  -1.7200e-01  -2.0600e-01 
-  -1.3300e+00  -9.3000e-02   1.7900e-01 
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-  -1.3300e+00  -4.9000e-02   2.1100e-01 
-  -1.3065e+00  -2.5370e-02   2.4300e-01 
-  -1.2830e+00  -1.6000e-02   2.6500e-01 
-  -1.3300e+00  -1.6000e-02   3.5600e-01 
-   8.7000e-02  -7.7650e-01  -3.5600e-01 
-   8.7000e-02  -7.7650e-01  -2.6500e-01 
-   7.1000e-02  -7.7650e-01  -2.4300e-01 
-   5.5000e-02  -7.7650e-01  -2.1100e-01 
-   5.5000e-02  -7.7650e-01  -2.1100e-01 
-   3.2600e-02  -7.8350e-01  -2.0200e-01 
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-   2.2600e-02  -1.2015e+00   2.0600e-01 
-   3.2600e-02  -1.2275e+00   2.2900e-01 
-   5.4600e-02  -1.2395e+00   2.3800e-01 
-   1.6800e-01  -1.2395e+00   2.3800e-01 
-   1.9100e-01  -1.2275e+00   2.2900e-01 
-   2.0000e-01  -1.2015e+00   2.0600e-01 
-   2.0000e-01  -8.0250e-01  -1.7900e-01 
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-   1.6800e-01  -7.7650e-01  -2.1100e-01 
-   1.5100e-01  -7.7650e-01  -2.1100e-01 
-   1.3500e-01  -7.7650e-01  -2.4300e-01 
-   1.1900e-01  -7.7650e-01  -2.6500e-01 
-   1.1900e-01  -7.7650e-01  -3.5600e-01 
+    4    1   20    1.00
+   1.3300e+00   1.6000e-02   3.5600e-01
+   1.2830e+00   1.6000e-02   2.6500e-01
+   1.3065e+00   2.5370e-02   2.4300e-01
+   1.3300e+00   4.8000e-02   2.1100e-01
+   1.3300e+00   1.3200e-01   2.1100e-01
+   1.3300e+00   1.5800e-01   2.0200e-01
+   1.3300e+00   1.6300e-01   1.7900e-01
+   1.3300e+00   9.0000e-02  -2.0600e-01
+   1.3300e+00   7.9000e-02  -2.2900e-01
+   1.3300e+00   5.8000e-02  -2.3800e-01
+   1.3300e+00  -6.2000e-02  -2.3800e-01
+   1.3300e+00  -8.3000e-02  -2.2900e-01
+   1.3300e+00  -9.4000e-02  -2.0600e-01
+   1.3300e+00  -1.6700e-01   1.7900e-01
+   1.3300e+00  -1.6000e-01   2.0200e-01
+   1.3300e+00  -1.3500e-01   2.1100e-01
+   1.3300e+00  -5.0000e-02   2.1100e-01
+   1.3065e+00  -2.5370e-02   2.4300e-01
+   1.2830e+00  -1.6000e-02   2.6500e-01
+   1.3300e+00  -1.6000e-02   3.5600e-01
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+   2.0100e-01   7.9400e-01   2.0600e-01
+   1.9100e-01   7.7500e-01   2.2900e-01
+   1.6900e-01   7.6800e-01   2.3800e-01
+  -1.6800e-01   7.6800e-01   2.3800e-01
+  -1.9100e-01   7.7500e-01   2.2900e-01
+  -2.0000e-01   7.9500e-01   2.0600e-01
+  -2.0000e-01   1.1620e+00  -1.7900e-01
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+  -1.5100e-01   1.2000e+00  -2.1100e-01
+  -1.3500e-01   1.2000e+00  -2.4300e-01
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+  -1.3300e+00   4.8000e-02   2.1100e-01
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+  -1.3300e+00   8.2000e-02   2.0200e-01
+  -1.3300e+00   9.3000e-02   1.7900e-01
+  -1.3300e+00   1.7100e-01  -2.0600e-01
+  -1.3300e+00   1.6500e-01  -2.2900e-01
+  -1.3300e+00   1.4100e-01  -2.3800e-01
+  -1.3300e+00  -1.4100e-01  -2.3800e-01
+  -1.3300e+00  -1.6600e-01  -2.2900e-01
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+  -1.3300e+00  -6.2000e-02   2.1100e-01
+  -1.3300e+00  -4.9000e-02   2.1100e-01
+  -1.3065e+00  -2.5370e-02   2.4300e-01
+  -1.2830e+00  -1.6000e-02   2.6500e-01
+  -1.3300e+00  -1.6000e-02   3.5600e-01
+   8.7000e-02  -7.7650e-01  -3.5600e-01
+   8.7000e-02  -7.7650e-01  -2.6500e-01
+   7.1000e-02  -7.7650e-01  -2.4300e-01
+   5.5000e-02  -7.7650e-01  -2.1100e-01
+   5.5000e-02  -7.7650e-01  -2.1100e-01
+   3.2600e-02  -7.8350e-01  -2.0200e-01
+   2.2600e-02  -8.0250e-01  -1.7900e-01
+   2.2600e-02  -1.2015e+00   2.0600e-01
+   3.2600e-02  -1.2275e+00   2.2900e-01
+   5.4600e-02  -1.2395e+00   2.3800e-01
+   1.6800e-01  -1.2395e+00   2.3800e-01
+   1.9100e-01  -1.2275e+00   2.2900e-01
+   2.0000e-01  -1.2015e+00   2.0600e-01
+   2.0000e-01  -8.0250e-01  -1.7900e-01
+   1.9100e-01  -7.8350e-01  -2.0200e-01
+   1.6800e-01  -7.7650e-01  -2.1100e-01
+   1.5100e-01  -7.7650e-01  -2.1100e-01
+   1.3500e-01  -7.7650e-01  -2.4300e-01
+   1.1900e-01  -7.7650e-01  -2.6500e-01
+   1.1900e-01  -7.7650e-01  -3.5600e-01
diff --git a/src/ForcingTerms/coil_geometries/jtext_u.dat b/src/ForcingTerms/coil_geometries/jtext_u.dat
index 45404b00f..b70ef435f 100644
--- a/src/ForcingTerms/coil_geometries/jtext_u.dat
+++ b/src/ForcingTerms/coil_geometries/jtext_u.dat
@@ -1,81 +1,81 @@
-    4    1   20    1.00 
-   1.2000e+00   1.6000e-02   3.9800e-01 
-   1.2000e+00   1.6000e-02   3.3300e-01 
-   1.2000e+00   2.5370e-02   3.1000e-01 
-   1.2000e+00   4.8000e-02   3.0100e-01 
-   1.2000e+00   1.3200e-01   3.0100e-01 
-   1.1880e+00   1.5800e-01   3.0100e-01 
-   1.1620e+00   1.6300e-01   3.0100e-01 
-   7.9400e-01   9.0000e-02   3.0100e-01 
-   7.7500e-01   7.9000e-02   3.0100e-01 
-   7.6800e-01   5.8000e-02   3.0100e-01 
-   7.6800e-01  -6.2000e-02   3.0100e-01 
-   7.7500e-01  -8.3000e-02   3.0100e-01 
-   7.9500e-01  -9.4000e-02   3.0100e-01 
-   1.1620e+00  -1.6700e-01   3.0100e-01 
-   1.1880e+00  -1.6000e-01   3.0100e-01 
-   1.2000e+00  -1.3500e-01   3.0100e-01 
-   1.2000e+00  -5.0000e-02   3.0100e-01 
-   1.2000e+00  -2.5370e-02   3.1000e-01 
-   1.2000e+00  -1.6000e-02   3.3300e-01 
-   1.2000e+00  -1.6000e-02   3.9800e-01 
-   1.6000e-02   1.2000e+00   3.9800e-01 
-   1.6000e-02   1.2000e+00   3.3300e-01 
-   2.5370e-02   1.2000e+00   3.1000e-01 
-   4.8000e-02   1.2000e+00   3.0100e-01 
-   1.3200e-01   1.2000e+00   3.0100e-01 
-   1.5800e-01   1.1880e+00   3.0100e-01 
-   1.6300e-01   1.1620e+00   3.0100e-01 
-   9.0000e-02   7.9400e-01   3.0100e-01 
-   7.9000e-02   7.7500e-01   3.0100e-01 
-   5.8000e-02   7.6800e-01   3.0100e-01 
-  -6.2000e-02   7.6800e-01   3.0100e-01 
-  -8.3000e-02   7.7500e-01   3.0100e-01 
-  -9.4000e-02   7.9500e-01   3.0100e-01 
-  -1.6700e-01   1.1620e+00   3.0100e-01 
-  -1.6000e-01   1.1880e+00   3.0100e-01 
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-  -5.0000e-02   1.2000e+00   3.0100e-01 
-  -2.5370e-02   1.2000e+00   3.1000e-01 
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-  -7.7650e-01   1.6000e-02   3.3300e-01 
-  -7.7650e-01   2.5370e-02   3.1000e-01 
-  -7.7650e-01   4.8000e-02   3.0100e-01 
-  -7.7650e-01   6.1000e-02   3.0100e-01 
-  -7.8350e-01   8.2000e-02   3.0100e-01 
-  -8.0250e-01   9.3000e-02   3.0100e-01 
-  -1.2015e+00   1.7100e-01   3.0100e-01 
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-  -1.2395e+00   1.4100e-01   3.0100e-01 
-  -1.2395e+00  -1.4100e-01   3.0100e-01 
-  -1.2275e+00  -1.6600e-01   3.0100e-01 
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-  -7.7650e-01  -6.2000e-02   3.0100e-01 
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-  -7.7650e-01  -1.6000e-02   3.9800e-01 
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-  -8.2000e-02  -7.8350e-01   3.0100e-01 
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-  -2.5370e-02  -7.7650e-01   3.1000e-01 
-  -1.6000e-02  -7.7650e-01   3.3300e-01 
-  -1.6000e-02  -7.7650e-01   3.9800e-01 
+    4    1   20    1.00
+   1.2000e+00   1.6000e-02   3.9800e-01
+   1.2000e+00   1.6000e-02   3.3300e-01
+   1.2000e+00   2.5370e-02   3.1000e-01
+   1.2000e+00   4.8000e-02   3.0100e-01
+   1.2000e+00   1.3200e-01   3.0100e-01
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+   1.1620e+00   1.6300e-01   3.0100e-01
+   7.9400e-01   9.0000e-02   3.0100e-01
+   7.7500e-01   7.9000e-02   3.0100e-01
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+   7.7500e-01  -8.3000e-02   3.0100e-01
+   7.9500e-01  -9.4000e-02   3.0100e-01
+   1.1620e+00  -1.6700e-01   3.0100e-01
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+   1.2000e+00  -5.0000e-02   3.0100e-01
+   1.2000e+00  -2.5370e-02   3.1000e-01
+   1.2000e+00  -1.6000e-02   3.3300e-01
+   1.2000e+00  -1.6000e-02   3.9800e-01
+   1.6000e-02   1.2000e+00   3.9800e-01
+   1.6000e-02   1.2000e+00   3.3300e-01
+   2.5370e-02   1.2000e+00   3.1000e-01
+   4.8000e-02   1.2000e+00   3.0100e-01
+   1.3200e-01   1.2000e+00   3.0100e-01
+   1.5800e-01   1.1880e+00   3.0100e-01
+   1.6300e-01   1.1620e+00   3.0100e-01
+   9.0000e-02   7.9400e-01   3.0100e-01
+   7.9000e-02   7.7500e-01   3.0100e-01
+   5.8000e-02   7.6800e-01   3.0100e-01
+  -6.2000e-02   7.6800e-01   3.0100e-01
+  -8.3000e-02   7.7500e-01   3.0100e-01
+  -9.4000e-02   7.9500e-01   3.0100e-01
+  -1.6700e-01   1.1620e+00   3.0100e-01
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+  -2.5370e-02   1.2000e+00   3.1000e-01
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+  -7.8350e-01   8.2000e-02   3.0100e-01
+  -8.0250e-01   9.3000e-02   3.0100e-01
+  -1.2015e+00   1.7100e-01   3.0100e-01
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+  -7.7650e-01  -4.9000e-02   3.0100e-01
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+  -7.7650e-01  -1.6000e-02   3.9800e-01
+   1.6000e-02  -7.7650e-01   3.9800e-01
+   1.6000e-02  -7.7650e-01   3.3300e-01
+   2.5370e-02  -7.7650e-01   3.1000e-01
+   4.8000e-02  -7.7650e-01   3.0100e-01
+   6.1000e-02  -7.7650e-01   3.0100e-01
+   8.2000e-02  -7.8350e-01   3.0100e-01
+   9.3000e-02  -8.0250e-01   3.0100e-01
+   1.7100e-01  -1.2015e+00   3.0100e-01
+   1.6500e-01  -1.2275e+00   3.0100e-01
+   1.4100e-01  -1.2395e+00   3.0100e-01
+  -1.4100e-01  -1.2395e+00   3.0100e-01
+  -1.6600e-01  -1.2275e+00   3.0100e-01
+  -1.7200e-01  -1.2015e+00   3.0100e-01
+  -9.3000e-02  -8.0250e-01   3.0100e-01
+  -8.2000e-02  -7.8350e-01   3.0100e-01
+  -6.2000e-02  -7.7650e-01   3.0100e-01
+  -4.9000e-02  -7.7650e-01   3.0100e-01
+  -2.5370e-02  -7.7650e-01   3.1000e-01
+  -1.6000e-02  -7.7650e-01   3.3300e-01
+  -1.6000e-02  -7.7650e-01   3.9800e-01
diff --git a/src/ForcingTerms/coil_geometries/mastu_efcc.dat b/src/ForcingTerms/coil_geometries/mastu_efcc.dat
index e94da889f..5259e11cc 100644
--- a/src/ForcingTerms/coil_geometries/mastu_efcc.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_efcc.dat
@@ -1,169 +1,169 @@
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diff --git a/src/ForcingTerms/coil_geometries/mastu_rmpl.dat b/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
index 7d3a798d3..1bb9ca785 100644
--- a/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_rmpl.dat
@@ -1,337 +1,337 @@
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diff --git a/src/ForcingTerms/coil_geometries/mastu_rmpu.dat b/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
index 59d20c96d..ba2a4e14f 100644
--- a/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
+++ b/src/ForcingTerms/coil_geometries/mastu_rmpu.dat
@@ -1,169 +1,169 @@
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-   2.6862e-01 -1.3923e+00   7.6000e-01 
-   2.9805e-01 -1.3863e+00   7.6000e-01 
-   3.2733e-01 -1.3797e+00   7.6000e-01 
-   3.5648e-01 -1.3725e+00   7.6000e-01 
-   3.8546e-01 -1.3646e+00   7.6000e-01 
-   4.1427e-01 -1.3561e+00   7.6000e-01 
-   4.4289e-01 -1.3471e+00   7.6000e-01 
-   4.7132e-01 -1.3374e+00   7.6000e-01 
-   4.9953e-01 -1.3271e+00   7.6000e-01 
-   5.2752e-01 -1.3162e+00   7.6000e-01 
-   5.2752e-01 -1.3162e+00   7.6000e-01 
-   5.4054e-01 -1.3487e+00   6.2950e-01 
-   5.5356e-01 -1.3812e+00   4.9900e-01 
-   5.2419e-01 -1.3926e+00   4.9900e-01 
-   4.9458e-01 -1.4034e+00   4.9900e-01 
-   4.6475e-01 -1.4136e+00   4.9900e-01 
-   4.3472e-01 -1.4231e+00   4.9900e-01 
-   4.0449e-01 -1.4320e+00   4.9900e-01 
-   3.7407e-01 -1.4402e+00   4.9900e-01 
-   3.4349e-01 -1.4478e+00   4.9900e-01 
-   3.1276e-01 -1.4548e+00   4.9900e-01 
-   2.8188e-01 -1.4611e+00   4.9900e-01 
-   2.5088e-01 -1.4667e+00   4.9900e-01 
-   2.1977e-01 -1.4717e+00   4.9900e-01 
-   1.8856e-01 -1.4760e+00   4.9900e-01 
-   1.5726e-01 -1.4797e+00   4.9900e-01 
-   1.2589e-01 -1.4827e+00   4.9900e-01 
-   9.4469e-02 -1.4850e+00   4.9900e-01 
-   6.3003e-02 -1.4867e+00   4.9900e-01 
-   3.1509e-02 -1.4877e+00   4.9900e-01 
-  -2.7334e-16 -1.4880e+00   4.9900e-01 
-  -2.6691e-16 -1.4530e+00   6.2950e-01 
-  -2.6048e-16 -1.4180e+00   7.6000e-01 
+    4    1   42     1.00
+   1.4180e+00  0.0000e+00   7.6000e-01
+   1.4177e+00  3.0026e-02   7.6000e-01
+   1.4167e+00  6.0039e-02   7.6000e-01
+   1.4151e+00  9.0025e-02   7.6000e-01
+   1.4129e+00  1.1997e-01   7.6000e-01
+   1.4101e+00  1.4986e-01   7.6000e-01
+   1.4066e+00  1.7969e-01   7.6000e-01
+   1.4024e+00  2.0943e-01   7.6000e-01
+   1.3977e+00  2.3908e-01   7.6000e-01
+   1.3923e+00  2.6862e-01   7.6000e-01
+   1.3863e+00  2.9805e-01   7.6000e-01
+   1.3797e+00  3.2733e-01   7.6000e-01
+   1.3725e+00  3.5648e-01   7.6000e-01
+   1.3646e+00  3.8546e-01   7.6000e-01
+   1.3561e+00  4.1427e-01   7.6000e-01
+   1.3471e+00  4.4289e-01   7.6000e-01
+   1.3374e+00  4.7132e-01   7.6000e-01
+   1.3271e+00  4.9953e-01   7.6000e-01
+   1.3162e+00  5.2752e-01   7.6000e-01
+   1.3162e+00  5.2752e-01   7.6000e-01
+   1.3487e+00  5.4054e-01   6.2950e-01
+   1.3812e+00  5.5356e-01   4.9900e-01
+   1.3926e+00  5.2419e-01   4.9900e-01
+   1.4034e+00  4.9458e-01   4.9900e-01
+   1.4136e+00  4.6475e-01   4.9900e-01
+   1.4231e+00  4.3472e-01   4.9900e-01
+   1.4320e+00  4.0449e-01   4.9900e-01
+   1.4402e+00  3.7407e-01   4.9900e-01
+   1.4478e+00  3.4349e-01   4.9900e-01
+   1.4548e+00  3.1276e-01   4.9900e-01
+   1.4611e+00  2.8188e-01   4.9900e-01
+   1.4667e+00  2.5088e-01   4.9900e-01
+   1.4717e+00  2.1977e-01   4.9900e-01
+   1.4760e+00  1.8856e-01   4.9900e-01
+   1.4797e+00  1.5726e-01   4.9900e-01
+   1.4827e+00  1.2589e-01   4.9900e-01
+   1.4850e+00  9.4469e-02   4.9900e-01
+   1.4867e+00  6.3003e-02   4.9900e-01
+   1.4877e+00  3.1509e-02   4.9900e-01
+   1.4880e+00  0.0000e+00   4.9900e-01
+   1.4530e+00  0.0000e+00   6.2950e-01
+   1.4180e+00  0.0000e+00   7.6000e-01
+   8.6827e-17  1.4180e+00   7.6000e-01
+  -3.0026e-02  1.4177e+00   7.6000e-01
+  -6.0039e-02  1.4167e+00   7.6000e-01
+  -9.0025e-02  1.4151e+00   7.6000e-01
+  -1.1997e-01  1.4129e+00   7.6000e-01
+  -1.4986e-01  1.4101e+00   7.6000e-01
+  -1.7969e-01  1.4066e+00   7.6000e-01
+  -2.0943e-01  1.4024e+00   7.6000e-01
+  -2.3908e-01  1.3977e+00   7.6000e-01
+  -2.6862e-01  1.3923e+00   7.6000e-01
+  -2.9805e-01  1.3863e+00   7.6000e-01
+  -3.2733e-01  1.3797e+00   7.6000e-01
+  -3.5648e-01  1.3725e+00   7.6000e-01
+  -3.8546e-01  1.3646e+00   7.6000e-01
+  -4.1427e-01  1.3561e+00   7.6000e-01
+  -4.4289e-01  1.3471e+00   7.6000e-01
+  -4.7132e-01  1.3374e+00   7.6000e-01
+  -4.9953e-01  1.3271e+00   7.6000e-01
+  -5.2752e-01  1.3162e+00   7.6000e-01
+  -5.2752e-01  1.3162e+00   7.6000e-01
+  -5.4054e-01  1.3487e+00   6.2950e-01
+  -5.5356e-01  1.3812e+00   4.9900e-01
+  -5.2419e-01  1.3926e+00   4.9900e-01
+  -4.9458e-01  1.4034e+00   4.9900e-01
+  -4.6475e-01  1.4136e+00   4.9900e-01
+  -4.3472e-01  1.4231e+00   4.9900e-01
+  -4.0449e-01  1.4320e+00   4.9900e-01
+  -3.7407e-01  1.4402e+00   4.9900e-01
+  -3.4349e-01  1.4478e+00   4.9900e-01
+  -3.1276e-01  1.4548e+00   4.9900e-01
+  -2.8188e-01  1.4611e+00   4.9900e-01
+  -2.5088e-01  1.4667e+00   4.9900e-01
+  -2.1977e-01  1.4717e+00   4.9900e-01
+  -1.8856e-01  1.4760e+00   4.9900e-01
+  -1.5726e-01  1.4797e+00   4.9900e-01
+  -1.2589e-01  1.4827e+00   4.9900e-01
+  -9.4469e-02  1.4850e+00   4.9900e-01
+  -6.3003e-02  1.4867e+00   4.9900e-01
+  -3.1509e-02  1.4877e+00   4.9900e-01
+   9.1114e-17  1.4880e+00   4.9900e-01
+   8.8971e-17  1.4530e+00   6.2950e-01
+   8.6827e-17  1.4180e+00   7.6000e-01
+  -1.4180e+00  1.7365e-16   7.6000e-01
+  -1.4177e+00 -3.0026e-02   7.6000e-01
+  -1.4167e+00 -6.0039e-02   7.6000e-01
+  -1.4151e+00 -9.0025e-02   7.6000e-01
+  -1.4129e+00 -1.1997e-01   7.6000e-01
+  -1.4101e+00 -1.4986e-01   7.6000e-01
+  -1.4066e+00 -1.7969e-01   7.6000e-01
+  -1.4024e+00 -2.0943e-01   7.6000e-01
+  -1.3977e+00 -2.3908e-01   7.6000e-01
+  -1.3923e+00 -2.6862e-01   7.6000e-01
+  -1.3863e+00 -2.9805e-01   7.6000e-01
+  -1.3797e+00 -3.2733e-01   7.6000e-01
+  -1.3725e+00 -3.5648e-01   7.6000e-01
+  -1.3646e+00 -3.8546e-01   7.6000e-01
+  -1.3561e+00 -4.1427e-01   7.6000e-01
+  -1.3471e+00 -4.4289e-01   7.6000e-01
+  -1.3374e+00 -4.7132e-01   7.6000e-01
+  -1.3271e+00 -4.9953e-01   7.6000e-01
+  -1.3162e+00 -5.2752e-01   7.6000e-01
+  -1.3162e+00 -5.2752e-01   7.6000e-01
+  -1.3487e+00 -5.4054e-01   6.2950e-01
+  -1.3812e+00 -5.5356e-01   4.9900e-01
+  -1.3926e+00 -5.2419e-01   4.9900e-01
+  -1.4034e+00 -4.9458e-01   4.9900e-01
+  -1.4136e+00 -4.6475e-01   4.9900e-01
+  -1.4231e+00 -4.3472e-01   4.9900e-01
+  -1.4320e+00 -4.0449e-01   4.9900e-01
+  -1.4402e+00 -3.7407e-01   4.9900e-01
+  -1.4478e+00 -3.4349e-01   4.9900e-01
+  -1.4548e+00 -3.1276e-01   4.9900e-01
+  -1.4611e+00 -2.8188e-01   4.9900e-01
+  -1.4667e+00 -2.5088e-01   4.9900e-01
+  -1.4717e+00 -2.1977e-01   4.9900e-01
+  -1.4760e+00 -1.8856e-01   4.9900e-01
+  -1.4797e+00 -1.5726e-01   4.9900e-01
+  -1.4827e+00 -1.2589e-01   4.9900e-01
+  -1.4850e+00 -9.4469e-02   4.9900e-01
+  -1.4867e+00 -6.3003e-02   4.9900e-01
+  -1.4877e+00 -3.1509e-02   4.9900e-01
+  -1.4880e+00  1.8223e-16   4.9900e-01
+  -1.4530e+00  1.7794e-16   6.2950e-01
+  -1.4180e+00  1.7365e-16   7.6000e-01
+  -2.6048e-16 -1.4180e+00   7.6000e-01
+   3.0026e-02 -1.4177e+00   7.6000e-01
+   6.0039e-02 -1.4167e+00   7.6000e-01
+   9.0025e-02 -1.4151e+00   7.6000e-01
+   1.1997e-01 -1.4129e+00   7.6000e-01
+   1.4986e-01 -1.4101e+00   7.6000e-01
+   1.7969e-01 -1.4066e+00   7.6000e-01
+   2.0943e-01 -1.4024e+00   7.6000e-01
+   2.3908e-01 -1.3977e+00   7.6000e-01
+   2.6862e-01 -1.3923e+00   7.6000e-01
+   2.9805e-01 -1.3863e+00   7.6000e-01
+   3.2733e-01 -1.3797e+00   7.6000e-01
+   3.5648e-01 -1.3725e+00   7.6000e-01
+   3.8546e-01 -1.3646e+00   7.6000e-01
+   4.1427e-01 -1.3561e+00   7.6000e-01
+   4.4289e-01 -1.3471e+00   7.6000e-01
+   4.7132e-01 -1.3374e+00   7.6000e-01
+   4.9953e-01 -1.3271e+00   7.6000e-01
+   5.2752e-01 -1.3162e+00   7.6000e-01
+   5.2752e-01 -1.3162e+00   7.6000e-01
+   5.4054e-01 -1.3487e+00   6.2950e-01
+   5.5356e-01 -1.3812e+00   4.9900e-01
+   5.2419e-01 -1.3926e+00   4.9900e-01
+   4.9458e-01 -1.4034e+00   4.9900e-01
+   4.6475e-01 -1.4136e+00   4.9900e-01
+   4.3472e-01 -1.4231e+00   4.9900e-01
+   4.0449e-01 -1.4320e+00   4.9900e-01
+   3.7407e-01 -1.4402e+00   4.9900e-01
+   3.4349e-01 -1.4478e+00   4.9900e-01
+   3.1276e-01 -1.4548e+00   4.9900e-01
+   2.8188e-01 -1.4611e+00   4.9900e-01
+   2.5088e-01 -1.4667e+00   4.9900e-01
+   2.1977e-01 -1.4717e+00   4.9900e-01
+   1.8856e-01 -1.4760e+00   4.9900e-01
+   1.5726e-01 -1.4797e+00   4.9900e-01
+   1.2589e-01 -1.4827e+00   4.9900e-01
+   9.4469e-02 -1.4850e+00   4.9900e-01
+   6.3003e-02 -1.4867e+00   4.9900e-01
+   3.1509e-02 -1.4877e+00   4.9900e-01
+  -2.7334e-16 -1.4880e+00   4.9900e-01
+  -2.6691e-16 -1.4530e+00   6.2950e-01
+  -2.6048e-16 -1.4180e+00   7.6000e-01
diff --git a/src/HDF5Schema.jl b/src/HDF5Schema.jl
index b8b0333c7..0ad15083e 100644
--- a/src/HDF5Schema.jl
+++ b/src/HDF5Schema.jl
@@ -243,7 +243,7 @@ const MAIN_H5_ANNOTATIONS = [
     "SurfaceGeometries/Plasma/z" => (; long_name="Cartesian z of plasma-surface point cloud", units="m"),
     "SurfaceGeometries/Wall/x" => (; long_name="Cartesian x of wall point cloud", units="m"),
     "SurfaceGeometries/Wall/y" => (; long_name="Cartesian y of wall point cloud", units="m"),
-    "SurfaceGeometries/Wall/z" => (; long_name="Cartesian z of wall point cloud", units="m"),
+    "SurfaceGeometries/Wall/z" => (; long_name="Cartesian z of wall point cloud", units="m")
 ]
 
 # Euler-Lagrange operator matrices: same wording per letter, Ideal/ and Kinetic/ variants.
@@ -256,7 +256,7 @@ const _ELM_IDEAL_LETTERS = [
     ("H", "Euler-Lagrange primitive coefficient matrix H"),
     ("F", "Euler-Lagrange derived coefficient matrix F"),
     ("K", "Euler-Lagrange derived coefficient matrix K"),
-    ("G", "Euler-Lagrange derived coefficient matrix G"),
+    ("G", "Euler-Lagrange derived coefficient matrix G")
 ]
 # The kinetic branch overwrites only A, B, C, K, G and adds f0; D, E, H, F are shared
 # unchanged from the ideal set and are not re-emitted.
@@ -266,14 +266,19 @@ const _ELM_KINETIC_LETTERS = [
     ("C", "Euler-Lagrange primitive coefficient matrix C"),
     ("K", "Euler-Lagrange derived coefficient matrix K"),
     ("G", "Euler-Lagrange derived coefficient matrix G"),
-    ("f0", "raw kinetic component matrix f0"),
+    ("f0", "raw kinetic component matrix f0")
 ]
 const ELM_H5_ANNOTATIONS = vcat(
     ["ForceFreeStates/EulerLagrangeMatrices/psi" => (; long_name="normalized poloidal flux ψ_N grid of the operator matrices", scale="psi")],
-    ["ForceFreeStates/EulerLagrangeMatrices/Ideal/$l" =>
-        (; long_name="ideal " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_IDEAL_LETTERS],
-    ["ForceFreeStates/EulerLagrangeMatrices/Kinetic/$l" =>
-        (; long_name="kinetic-modified " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_KINETIC_LETTERS]
+    [
+        "ForceFreeStates/EulerLagrangeMatrices/Ideal/$l" =>
+            (; long_name="ideal " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for (l, d) in _ELM_IDEAL_LETTERS
+    ],
+    [
+        "ForceFreeStates/EulerLagrangeMatrices/Kinetic/$l" =>
+            (; long_name="kinetic-modified " * d, dims=("psi", "mode_row", "mode_col"), attach=(1 => "ForceFreeStates/EulerLagrangeMatrices/psi",)) for
+        (l, d) in _ELM_KINETIC_LETTERS
+    ]
 )
 
 """
diff --git a/src/InnerLayer/GGJ/Ray.jl b/src/InnerLayer/GGJ/Ray.jl
index cb188f4aa..3abbc4f46 100644
--- a/src/InnerLayer/GGJ/Ray.jl
+++ b/src/InnerLayer/GGJ/Ray.jl
@@ -943,8 +943,6 @@ end
                         npc=8, certify_rtol=1e-3, kwargs...)
         -> (; Δ, x, Ψ, Ξ, dψdx, rescale, certΔ)
 
-Rotated-ray implementation of the [`solve_inner_profile`](@ref) interface. The
-certified `Δ` comes from the optimal-contour solve at θ = arg(Q)/4 (robust for
 |Q| ≳ 1, where real-axis methods drift); the profiles come from a θ = 0
 re-solve on the real axis, valid at physical (RPEC) |Q| since the on-axis
 pseudo-resonance is a regular point resolved by the BVP refinement. The
diff --git a/src/InnerLayer/InnerLayerInterface.jl b/src/InnerLayer/InnerLayerInterface.jl
index 52e1b36ea..5ad7dedaf 100644
--- a/src/InnerLayer/InnerLayerInterface.jl
+++ b/src/InnerLayer/InnerLayerInterface.jl
@@ -87,13 +87,13 @@ tuple with at least:
 
   - `Δ`       — the same `(Δ_odd, Δ_even)` matching data as [`solve_inner`](@ref)
   - `x`       — real ascending grid in the model's stretched inner coordinate,
-                `x ≥ 0` with the rational surface at `x = 0`
+    `x ≥ 0` with the rational surface at `x = 0`
   - `Ψ`, `Ξ`  — `length(x) × 2` profiles, columns (odd, even) parity, in the
-                model's inner normalization: `Ψ` the normal-field
-                (reconnected-flux) variable, `Ξ` the displacement
+    model's inner normalization: `Ψ` the normal-field
+    (reconnected-flux) variable, `Ξ` the displacement
   - `dψdx`    — conversion to poloidal-flux distance, `δψ = dψdx · x`
   - `rescale` — amplitude factor converting the inner-normalized profiles to
-                the outer δψ-normalized convention (companion of the Δ rescale)
+    the outer δψ-normalized convention (companion of the Δ rescale)
 
 Concrete models may return additional diagnostic fields (e.g. a solve-quality
 certificate). Solver-knob keywords are model-specific.
diff --git a/src/InnerLayer/SLAYER/LayerInputs.jl b/src/InnerLayer/SLAYER/LayerInputs.jl
index 96177903d..b25faa154 100644
--- a/src/InnerLayer/SLAYER/LayerInputs.jl
+++ b/src/InnerLayer/SLAYER/LayerInputs.jl
@@ -87,11 +87,15 @@ profiles, without an intermediate file round-trip.
     physical field, so passing it as a scalar is almost always wrong.
 
   - `mu_i`      -- ion mass in proton-mass units (default `2.0` for D).
+
   - `zeff`      -- effective charge (default `1.0`).
+
   - `chi_perp`  -- perpendicular heat diffusivity [m²/s]. Scalar or a
     callable of `psi` (default `1.0`).
+
   - `chi_tor`   -- toroidal heat diffusivity [m²/s]. Scalar or a callable
     of `psi` (default `1.0`).
+
   - `dr_val`    -- resistive interchange index `D_R = E + F + H²`
     (Glasser-Greene-Johnson 1975) feeding the critical-Δ formulas
     (`:lar`, `:rfitzp`, `:toroidal`). When `nothing` (default), Julia
@@ -106,6 +110,7 @@ profiles, without an intermediate file round-trip.
     NOT the Mercier index `D_I = E + F + H − 1/4`. The two differ by
     `(H − 1/2)²`, which is non-trivial on shaped equilibria (~factor 3 on
     DIII-D); this code uses the physically correct `D_R`.
+
   - `dgeo_val`  -- Connor 2015 (PPCF 57 065001) Eq. 59 geometric factor
     used by `dc_type=:toroidal`. When `nothing` (default), an error is
     raised if `dc_type=:toroidal` is also requested — the auto-derived
@@ -113,15 +118,19 @@ profiles, without an intermediate file round-trip.
     doesn't currently expose. Pass a scalar / vector / callable to use
     a prescribed value. (For `dc_type=:rfitzp` and `:lar`, dgeo_val is
     not consulted.)
+
   - `dc_type`   -- `:none` (default), `:lar`, `:rfitzp`, or `:toroidal`.
+
   - `theta`     -- poloidal angle at which to measure minor radius (default
     `0.0`, outboard midplane).
+
   - `resistivity_model` -- `SauterNeoModel()` (default), `RedlNeoModel()`,
     `SpitzerModel()`, or `SpitzerHarmModel()` (legacy Fitzpatrick σ_∥).
     Sets the η entering τ_R = μ₀r_s²/η. With a neoclassical model, `f_trap`
     and ν*_e are taken from the surface's `ResistGeometry` if populated
     (via `ForceFreeStates.resist_eval_all!`), otherwise fall back to the
     ε-only Lin-Liu-Miller form and `rs/R_0` aspect ratio.
+
   - `lnLambda_form` -- Coulomb-log form passed through to `slayer_parameters`
     (default `:nrl`; `:wesson` + `SpitzerHarmModel()` reproduces legacy
     SLAYER exactly).
diff --git a/src/InnerLayer/SLAYER/LayerParameters.jl b/src/InnerLayer/SLAYER/LayerParameters.jl
index 5dbf9163f..8e3c17fb1 100644
--- a/src/InnerLayer/SLAYER/LayerParameters.jl
+++ b/src/InnerLayer/SLAYER/LayerParameters.jl
@@ -20,32 +20,32 @@ Fitzpatrick two-fluid drift-MHD SLAYER inner-layer model (Fitzpatrick
 de-normalization. The parametrization uses `P_perp`, `P_tor`, and
 `D_norm` (not the older `pr`/`pe`/`ds` set).
 
-| field      | meaning                                                           |
-|:---------- |:----------------------------------------------------------------- |
-| `ising`    | Singular-surface index (traceability only)                        |
-| `m`, `n`   | Poloidal / toroidal mode numbers at this surface                  |
-| `tau`      | T_i / T_e                                                         |
-| `lu`       | Lundquist number S = τ_R / τ_H                                    |
-| `c_beta`   | Compressibility √(β_local / (1 + β_local))                        |
-| `D_norm`   | (d_β/r_s) · S^(1/3) · √(τ/(1+τ))  (Fitzpatrick normalized scale)  |
-| `P_perp`   | Perpendicular Prandtl number τ_R / τ_⊥                            |
-| `P_tor`    | Toroidal-direction Prandtl number τ_R / τ_‖tor                    |
-| `Q_e`      | Normalized electron diamagnetic: −tauk · ω_*e                     |
-| `Q_i`      | Normalized ion diamagnetic:      −tauk · ω_*i                     |
-| `iota_e`   | Q_e / (Q_e − Q_i)                                                 |
-| `tauk`     | Q-conversion factor S^(1/3) · τ_H  [s] — multiplies ω to get Q    |
-| `tau_r`    | Resistive diffusion time [s]                                      |
-| `delta_n`  | Δ-normalization factor S^(1/3) / r_s [m⁻¹]                        |
-| `rs`       | Minor radius at this surface [m]                                  |
-| `R0`       | Major radius [m]                                                  |
-| `bt`       | Toroidal field [T]                                                |
-| `sval_r`   | r-based magnetic shear r_s · (dq/dr) / q (Fitzpatrick convention) |
+| field      | meaning                                                                                                         |
+|:---------- |:--------------------------------------------------------------------------------------------------------------- |
+| `ising`    | Singular-surface index (traceability only)                                                                      |
+| `m`, `n`   | Poloidal / toroidal mode numbers at this surface                                                                |
+| `tau`      | T_i / T_e                                                                                                       |
+| `lu`       | Lundquist number S = τ_R / τ_H                                                                                  |
+| `c_beta`   | Compressibility √(β_local / (1 + β_local))                                                                      |
+| `D_norm`   | (d_β/r_s) · S^(1/3) · √(τ/(1+τ))  (Fitzpatrick normalized scale)                                                |
+| `P_perp`   | Perpendicular Prandtl number τ_R / τ_⊥                                                                          |
+| `P_tor`    | Toroidal-direction Prandtl number τ_R / τ_‖tor                                                                  |
+| `Q_e`      | Normalized electron diamagnetic: −tauk · ω_*e                                                                   |
+| `Q_i`      | Normalized ion diamagnetic:      −tauk · ω_*i                                                                   |
+| `iota_e`   | Q_e / (Q_e − Q_i)                                                                                               |
+| `tauk`     | Q-conversion factor S^(1/3) · τ_H  [s] — multiplies ω to get Q                                                  |
+| `tau_r`    | Resistive diffusion time [s]                                                                                    |
+| `delta_n`  | Δ-normalization factor S^(1/3) / r_s [m⁻¹]                                                                      |
+| `rs`       | Minor radius at this surface [m]                                                                                |
+| `R0`       | Major radius [m]                                                                                                |
+| `bt`       | Toroidal field [T]                                                                                              |
+| `sval_r`   | r-based magnetic shear r_s · (dq/dr) / q (Fitzpatrick convention)                                               |
 | `dr_val`   | Resistive interchange D_R = E + F + H² (critical-Δ input; auto-derived from GGJ coefficients unless overridden) |
-| `dgeo_val` | Connor-Hastie-Helander 2015 Eq. 59 geometric factor (0 unless supplied) |
-| `eta`      | Parallel resistivity entering τ_R = μ₀r_s²/η [Ω·m]                |
-| `d_beta`   | Beta-weighted ion length scale c_β · d_i [m]                      |
-| `dc_tmp`   | Critical-Δ offset from chi_parallel matching                      |
-| `dc_type`  | Selector for `dc_tmp` formula                                     |
+| `dgeo_val` | Connor-Hastie-Helander 2015 Eq. 59 geometric factor (0 unless supplied)                                         |
+| `eta`      | Parallel resistivity entering τ_R = μ₀r_s²/η [Ω·m]                                                              |
+| `d_beta`   | Beta-weighted ion length scale c_β · d_i [m]                                                                    |
+| `dc_tmp`   | Critical-Δ offset from chi_parallel matching                                                                    |
+| `dc_type`  | Selector for `dc_tmp` formula                                                                                   |
 
 The complex normalized growth rate `Q = ω + iγ` is **not** stored here;
 it is passed as a separate argument to `solve_inner`.
diff --git a/src/KineticForces/BounceAveraging.jl b/src/KineticForces/BounceAveraging.jl
index 63a59aedc..5dddae01d 100644
--- a/src/KineticForces/BounceAveraging.jl
+++ b/src/KineticForces/BounceAveraging.jl
@@ -31,7 +31,7 @@ struct BounceData
     # For matrix path (nothing if scalar-only): packed layout (nlmda, nqty_matrix(mpert)).
     # Consumer fills into fbnce_data[:, 3:end] by direct copy. See `nqty_matrix` for
     # the 3-Hermitian-triangle + 3-full-block packing (Logan 2015 Eqs 7.30–7.35).
-    wmats_vs_lambda::Union{Nothing, Matrix{ComplexF64}}
+    wmats_vs_lambda::Union{Nothing,Matrix{ComplexF64}}
 end
 
 
@@ -44,13 +44,19 @@ end
 # the full mpert² for the three non-Hermitian blocks. Block packing order:
 # A-tri, D-tri, H-tri, B-full, C-full, E-full.
 
-"""Number of packed complex entries per λ for the 6 kinetic matrices."""
+"""
+Number of packed complex entries per λ for the 6 kinetic matrices.
+"""
 @inline nqty_matrix(mpert::Int) = 3 * (mpert * (mpert + 1)) ÷ 2 + 3 * mpert^2
 
-"""Upper-triangle index (1 ≤ i ≤ j ≤ mpert) within a triangular block."""
+"""
+Upper-triangle index (1 ≤ i ≤ j ≤ mpert) within a triangular block.
+"""
 @inline _tri_idx(i::Int, j::Int) = (j * (j - 1)) ÷ 2 + i
 
-"""Full-block index (column-major) within a non-Hermitian block."""
+"""
+Full-block index (column-major) within a non-Hermitian block.
+"""
 @inline _full_idx(i::Int, j::Int, mpert::Int) = (j - 1) * mpert + i
 
 
@@ -65,14 +71,16 @@ Generate a grid with power-law concentration near endpoints.
 Port of Fortran `powspace_sub` from equil/grid.f90.
 
 # Arguments
-- `xmin, xmax`: Grid bounds
-- `pow::Int`: Power of grid concentration (higher = more refined near edges)
-- `num::Int`: Number of grid points
-- `endpoints::String`: Where to concentrate: "lower", "upper", or "both"
+
+  - `xmin, xmax`: Grid bounds
+  - `pow::Int`: Power of grid concentration (higher = more refined near edges)
+  - `num::Int`: Number of grid points
+  - `endpoints::String`: Where to concentrate: "lower", "upper", or "both"
 
 # Returns
-- `points::Vector{Float64}`: Grid point locations
-- `weights::Vector{Float64}`: Derivatives dx/dnorm (integration weights)
+
+  - `points::Vector{Float64}`: Grid point locations
+  - `weights::Vector{Float64}`: Derivatives dx/dnorm (integration weights)
 """
 function powspace(xmin::Float64, xmax::Float64, pow::Int, num::Int, endpoints::String)
     if xmax <= xmin
@@ -81,11 +89,11 @@ function powspace(xmin::Float64, xmax::Float64, pow::Int, num::Int, endpoints::S
 
     # Linear base grid in [-1,1], [0,1], or [-1,0]
     x = if endpoints == "lower"
-        collect(range(-1.0, 0.0, length=num))
+        collect(range(-1.0, 0.0; length=num))
     elseif endpoints == "upper"
-        collect(range(0.0, 1.0, length=num))
+        collect(range(0.0, 1.0; length=num))
     elseif endpoints == "both"
-        collect(range(-1.0, 1.0, length=num))
+        collect(range(-1.0, 1.0; length=num))
     else
         error("powspace: invalid endpoints '$endpoints' — use lower, upper, or both")
     end
@@ -160,31 +168,33 @@ needed by the pitch-angle quadrature.
 Ports Fortran torque.F90 lines 530-816 (GAR branch).
 
 # Arguments
-- `psi`: Normalized poloidal flux
-- `n`: Toroidal mode number
-- `l`: Bounce harmonic number
-- `q`: Safety factor at this ψ
-- `bo`: On-axis toroidal field [T]
-- `bmax, bmin`: Max/min of B(θ) at this ψ
-- `theta_bmax`: θ location of Bmax (nodal knot; the passing-transit start)
-- `tspl`: Periodic poloidal interpolant: tspl(θ) → [B, dB/dψ, dB/dθ, J, dJ/dψ]
-- `B_extrap`: Endpoint-fit (non-periodic) cubic of B(θ) used for v_par and the
-  bounce-point roots (the Fortran `vspl` equivalent)
-- `mfac`: Poloidal mode numbers [mlow:mhigh]
-- `chi1`: 2π·ψ₀ flux normalization
-- `ro`: Major radius [m]
-- `dbob_m_f`: δB/B Fourier modes at this ψ (ComplexF64 vector, length mpert)
-- `divx_m_f`: ∇·ξ⊥ Fourier modes at this ψ (ComplexF64 vector, length mpert)
-- `divxfac, wdfac`: Scaling factors
-- `mass`: Particle mass [kg]
-- `chrg`: Particle charge [C]
-- `T_s`: Species temperature at this ψ [J]
-- `method`: Method string (first char: f/t/p determines λ range)
+
+  - `psi`: Normalized poloidal flux
+  - `n`: Toroidal mode number
+  - `l`: Bounce harmonic number
+  - `q`: Safety factor at this ψ
+  - `bo`: On-axis toroidal field [T]
+  - `bmax, bmin`: Max/min of B(θ) at this ψ
+  - `theta_bmax`: θ location of Bmax (nodal knot; the passing-transit start)
+  - `tspl`: Periodic poloidal interpolant: tspl(θ) → [B, dB/dψ, dB/dθ, J, dJ/dψ]
+  - `B_extrap`: Endpoint-fit (non-periodic) cubic of B(θ) used for v_par and the
+    bounce-point roots (the Fortran `vspl` equivalent)
+  - `mfac`: Poloidal mode numbers [mlow:mhigh]
+  - `chi1`: 2π·ψ₀ flux normalization
+  - `ro`: Major radius [m]
+  - `dbob_m_f`: δB/B Fourier modes at this ψ (ComplexF64 vector, length mpert)
+  - `divx_m_f`: ∇·ξ⊥ Fourier modes at this ψ (ComplexF64 vector, length mpert)
+  - `divxfac, wdfac`: Scaling factors
+  - `mass`: Particle mass [kg]
+  - `chrg`: Particle charge [C]
+  - `T_s`: Species temperature at this ψ [J]
+  - `method`: Method string (first char: f/t/p determines λ range)
 
 # Keyword Arguments
-- `nlmda`: Number of pitch angle grid points (default 128, matching Fortran pentrc nlmda)
-- `ntheta`: Number of poloidal grid points per bounce (default 128)
-- `smat, tmat, xmat, ymat, zmat`: Geometric matrices (mpert×mpert) for kinetic matrix path
+
+  - `nlmda`: Number of pitch angle grid points (default 128, matching Fortran pentrc nlmda)
+  - `ntheta`: Number of poloidal grid points per bounce (default 128)
+  - `smat, tmat, xmat, ymat, zmat`: Geometric matrices (mpert×mpert) for kinetic matrix path
 """
 function compute_bounce_data(
     psi::Float64, n::Int, l::Int, q::Float64,
@@ -262,7 +272,7 @@ function compute_bounce_data(
     end
 
     return BounceData(nlmda, lambda, dlambda, sigma_arr,
-                      wb_arr, wd_arr, dJdJ_arr, wmats_arr)
+        wb_arr, wd_arr, dJdJ_arr, wmats_arr)
 end
 
 
@@ -275,23 +285,24 @@ Per-surface scratch for the bounce-averaging inner loops, allocated once in
 partially are `fill!`-reset per λ.
 
 ## Fields
-- `g_wb::Vector{Float64}`: length `ntheta` — bounce-action integrand samples
-- `g_wd::Vector{Float64}`: length `ntheta` — drift integrand samples
-- `cum_wb_arr::Vector{Float64}`: length `ntheta` — cumulative bounce-action integral
-- `jvtheta::Vector{ComplexF64}`: length `ntheta` — action integrand
-- `bj_samples::Vector{ComplexF64}`: length `ntheta` — action bounce-integral samples
-- `wsamp::Vector{ComplexF64}`: length `ntheta` — per-mode W bounce-integral samples
-- `wmu_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_μ per θ
-- `wen_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_E per θ
-- `expm::Vector{ComplexF64}`: length `mpert` — Fourier basis at a θ
-- `pl::Vector{ComplexF64}`: length `ntheta` — bounce phase factor
-- `wmu_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_μ
-- `wen_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_E
-- `wmats_lmda::Vector{ComplexF64}`: length `nqty_matrix(mpert)` — packed W outer products
-- `tspl_f::Vector{Float64}`: length 5 — in-place tspl(θ) evaluation
-- `int_w::Vector{Float64}`, `cumint_W::Matrix{Float64}`: precomputed exact-cubic
-  quadrature weights on the fixed unit θ-grid (`∫ = int_w·y`, `cumulative = cumint_W·y`);
-  shared read-only across surfaces, see `_quadrature_weights`
+
+  - `g_wb::Vector{Float64}`: length `ntheta` — bounce-action integrand samples
+  - `g_wd::Vector{Float64}`: length `ntheta` — drift integrand samples
+  - `cum_wb_arr::Vector{Float64}`: length `ntheta` — cumulative bounce-action integral
+  - `jvtheta::Vector{ComplexF64}`: length `ntheta` — action integrand
+  - `bj_samples::Vector{ComplexF64}`: length `ntheta` — action bounce-integral samples
+  - `wsamp::Vector{ComplexF64}`: length `ntheta` — per-mode W bounce-integral samples
+  - `wmu_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_μ per θ
+  - `wen_mt::Matrix{ComplexF64}`: `mpert × ntheta` — W_E per θ
+  - `expm::Vector{ComplexF64}`: length `mpert` — Fourier basis at a θ
+  - `pl::Vector{ComplexF64}`: length `ntheta` — bounce phase factor
+  - `wmu_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_μ
+  - `wen_ba::Vector{ComplexF64}`: length `mpert` — bounce-averaged W_E
+  - `wmats_lmda::Vector{ComplexF64}`: length `nqty_matrix(mpert)` — packed W outer products
+  - `tspl_f::Vector{Float64}`: length 5 — in-place tspl(θ) evaluation
+  - `int_w::Vector{Float64}`, `cumint_W::Matrix{Float64}`: precomputed exact-cubic
+    quadrature weights on the fixed unit θ-grid (`∫ = int_w·y`, `cumulative = cumint_W·y`);
+    shared read-only across surfaces, see `_quadrature_weights`
 """
 struct BounceScratch
     g_wb::Vector{Float64}
@@ -330,7 +341,7 @@ function BounceScratch(ntheta::Int, mpert::Int)
         Vector{ComplexF64}(undef, nqty_matrix(mpert)),
         Vector{Float64}(undef, 5),
         int_w,
-        cumint_W,
+        cumint_W
     )
 end
 
@@ -351,7 +362,7 @@ fitting and integrating each sample vector directly, but reducing the per-λ hot
 function _quadrature_weights(ntheta::Int)
     lock(_QUAD_WEIGHTS_LOCK) do
         get!(_QUAD_WEIGHTS, ntheta) do
-            xs = collect(range(0.0, 1.0, length=ntheta))
+            xs = collect(range(0.0, 1.0; length=ntheta))
             int_w = zeros(Float64, ntheta)
             cumint_W = zeros(Float64, ntheta, ntheta)
             ej = zeros(Float64, ntheta)
@@ -384,12 +395,12 @@ function _build_lambda_grid(method_char::Char, lmdatpb::Float64, lmdamax::Float6
     if method_char == 't'
         # Trapped only: λ ∈ (lmdatpb, lmdamax), exclude endpoints
         pts_inc, wts_inc = powspace(lmdatpb, lmdamax, 1, 2 + nlmda, "both")
-        return pts_inc[2:end-1], wts_inc[2:end-1]
+        return pts_inc[2:(end-1)], wts_inc[2:(end-1)]
 
     elseif method_char == 'p'
         # Passing only: λ ∈ (lmdamin, lmdatpb), exclude endpoints
         pts_inc, wts_inc = powspace(lmdamin, lmdatpb, 1, 2 + nlmda, "both")
-        return pts_inc[2:end-1], wts_inc[2:end-1]
+        return pts_inc[2:(end-1)], wts_inc[2:(end-1)]
 
     else  # 'f' = full
         if lmdatpb ≈ lmdamax
@@ -401,8 +412,8 @@ function _build_lambda_grid(method_char::Char, lmdatpb::Float64, lmdamax::Float6
         pts_p, wts_p = powspace(lmdamin, lmdatpb, 2, 2 + nhalf_p, "upper")
         pts_t, wts_t = powspace(lmdatpb, lmdamax, 2, 2 + nhalf_t, "lower")
         # Exclude boundary points
-        lambda = vcat(pts_p[2:end-1], pts_t[2:end-1])
-        dlambda = vcat(wts_p[2:end-1], wts_t[2:end-1])
+        lambda = vcat(pts_p[2:(end-1)], pts_t[2:(end-1)])
+        dlambda = vcat(wts_p[2:(end-1)], wts_t[2:(end-1)])
         return lambda, dlambda
     end
 end
@@ -538,7 +549,7 @@ function _bounce_integrate(
     tspl_f = scr.tspl_f
     expm = scr.expm
 
-    for i in 2:ntheta-1  # Edge weights are 0 from powspace
+    for i in 2:(ntheta-1)  # Edge weights are 0 from powspace
         θ = tdt_pts[i]
         dt = tdt_wts[i]
         θmod = mod(θ, 1.0)
@@ -595,8 +606,8 @@ function _bounce_integrate(
         # Action integrand
         phase = cis(-twopi * n * q * (θ - theta0))
         jvtheta[i] = dt * jac * B_val *
-            (divx * sqrt_vpar + dbob * (1.0 - 1.5 * lmda * B_val / bo) / sqrt_vpar) *
-            phase
+                     (divx * sqrt_vpar + dbob * (1.0 - 1.5 * lmda * B_val / bo) / sqrt_vpar) *
+                     phase
 
         # W vectors for matrix path
         if do_matrices
@@ -611,9 +622,9 @@ function _bounce_integrate(
         # Smooth backfill for points zeroed before a restart. Exact equality with
         # 0.0 is safe: the restart branch set these entries with fill!(…, 0.0).
         if i >= 3 && g_wb[i-1] == 0.0
-            fill!(view(g_wb, 3:i-1), g_wb[i])
-            fill!(view(g_wd, 3:i-1), g_wd[i])
-            fill!(view(jvtheta, 2:i-1), jvtheta[i])
+            fill!(view(g_wb, 3:(i-1)), g_wb[i])
+            fill!(view(g_wd, 3:(i-1)), g_wd[i])
+            fill!(view(jvtheta, 2:(i-1)), jvtheta[i])
         end
     end
 
@@ -698,32 +709,32 @@ function _bounce_integrate(
         # A (Hermitian): upper triangle of W_Z†W_Z, rank-1 → conj(wz[i])·wz[j].
         off = 0
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wz[i]) * wz[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wz[i]) * wz[j] * scale
         end
         off += Mu
         # D (Hermitian): upper triangle of W_X†W_X.
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wx[i]) * wx[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wx[i]) * wx[j] * scale
         end
         off += Mu
         # H (Hermitian): upper triangle of W_Y†W_Y.
         @inbounds for j in 1:mpert, i in 1:j
-            wmats_lmda[off + _tri_idx(i, j)] = conj(wy[i]) * wy[j] * scale
+            wmats_lmda[off+_tri_idx(i, j)] = conj(wy[i]) * wy[j] * scale
         end
         off += Mu
         # B (full): W_Z†W_X.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wz[i]) * wx[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wz[i]) * wx[j] * scale
         end
         off += mpert^2
         # C (full): W_Z†W_Y.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wz[i]) * wy[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wz[i]) * wy[j] * scale
         end
         off += mpert^2
         # E (full): W_X†W_Y.
         @inbounds for j in 1:mpert, i in 1:mpert
-            wmats_lmda[off + _full_idx(i, j, mpert)] = conj(wx[i]) * wy[j] * scale
+            wmats_lmda[off+_full_idx(i, j, mpert)] = conj(wx[i]) * wy[j] * scale
         end
     end
 
diff --git a/src/KineticForces/EnergyIntegration.jl b/src/KineticForces/EnergyIntegration.jl
index 36cc1ecef..261c403ce 100644
--- a/src/KineticForces/EnergyIntegration.jl
+++ b/src/KineticForces/EnergyIntegration.jl
@@ -40,10 +40,10 @@ end
 
 Collision frequency ν(x) at normalized energy x = E/T.
 
-- `"zero"`: collisionless (ν = 0)
-- `"small"`: 1e-5 * we
-- `"krook"`: unmodified Krook operator
-- `"harmonic"`: (1 + (l/2)²) * krook * x^(-3/2)
+  - `"zero"`: collisionless (ν = 0)
+  - `"small"`: 1e-5 * we
+  - `"krook"`: unmodified Krook operator
+  - `"harmonic"`: (1 + (l/2)²) * krook * x^(-3/2)
 """
 @inline function _energy_collision_frequency(x::Float64, p::EnergyParams)::Float64
     nux = if p.nutype == "zero"
@@ -188,7 +188,7 @@ Writing `h(x) = N(x)·exp(-x)`, the limit is
 `Ω′ = leff·wb/(2√x) + n·wd`, `Ω″ = −leff·wb/(4·x^{3/2})`.
 """
 @inline function _real_pole_regular_part(xr::Float64, p::EnergyParams, leff::Float64,
-                                                 wb::Float64, n::Int, wd::Float64)::ComplexF64
+    wb::Float64, n::Int, wd::Float64)::ComplexF64
     sx = sqrt(xr)
     op = leff * wb / (2.0 * sx) + n * wd          # Ω′(x_res)
     opp = -leff * wb / (4.0 * xr * sx)            # Ω″(x_res)
@@ -211,8 +211,8 @@ add-back below), and its on-axis `0/0` window by the analytic regular-part limit
 # Real x-space resonant integrand with pole subtractions
 # Explicit function keeps memory allocation out of the QuadGK inner loop.
 @inline function _resonant_integrand(x::Float64, p::EnergyParams,
-        residues::Vector{ComplexF64}, x_poles::Vector{ComplexF64}, npole::Int,
-        leff::Float64, wb::Float64, n::Int, wd::Float64)::ComplexF64
+    residues::Vector{ComplexF64}, x_poles::Vector{ComplexF64}, npole::Int,
+    leff::Float64, wb::Float64, n::Int, wd::Float64)::ComplexF64
     val = _energy_integrand_real(x, p)
     @inbounds for k in 1:npole
         val -= residues[k] / (x - x_poles[k])
@@ -234,8 +234,8 @@ add-back below), and its on-axis `0/0` window by the analytic regular-part limit
 end
 
 function _integrate_energy_resonant(p::EnergyParams, leff::Float64, wb::Float64,
-                                        n::Int, we::Float64, wd::Float64,
-                                        atol::Float64, rtol::Float64, segbuf=nothing)::ComplexF64
+    n::Int, we::Float64, wd::Float64,
+    atol::Float64, rtol::Float64, segbuf=nothing)::ComplexF64
     x_res_list = find_resonance_energies(leff, wb, n, we, wd)   # ≤ 2 roots of a quadratic in √x
     x_poles = ComplexF64[]
     residues = ComplexF64[]
@@ -308,17 +308,18 @@ Distribution function types (`f0type`): `"maxwellian"`, `"jkp"`, `"cgl"`.
 poles are now handled analytically rather than by contour deformation.
 
 # Returns
-- `ComplexF64`: energy integral value
+
+  - `ComplexF64`: energy integral value
 """
 function integrate_energy(wn::Float64, wt::Float64, we::Float64, wd::Float64,
-                              wb::Float64, nuk::Float64, ell::Int, leff::Float64,
-                              n::Int, psi::Float64, lambda::Float64, method::String;
-                              nutype::String="harmonic", f0type::String="maxwellian",
-                              nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
-                              atol::Float64=1e-7, rtol::Float64=1e-5, segbuf=nothing)::ComplexF64
+    wb::Float64, nuk::Float64, ell::Int, leff::Float64,
+    n::Int, psi::Float64, lambda::Float64, method::String;
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
+    atol::Float64=1e-7, rtol::Float64=1e-5, segbuf=nothing)::ComplexF64
 
     p = EnergyParams(wn, wt, we, wd, wb, nuk, leff, n,
-                     nutype, f0type, nufac, ximag, qt)
+        nutype, f0type, nufac, ximag, qt)
 
     # CGL has no resonance denominator and no pole — integrate the physical
     # x-space integrand directly over the half line (QuadGK maps [0,∞) itself).
@@ -343,19 +344,20 @@ N(x)·exp(-x)/denom(x) at specified x = E/T values. Returns the integrand value
 integrand shape and verifying kinetic resonance resolution.
 
 # Example
+
 ```julia
-x = 10 .^ range(-2, stop=2, length=500)
+x = 10 .^ range(-2; stop=2, length=500)
 f = KineticForces.evaluate_energy_integrand(x; wn=1e3, wt=2e3, we=5e4,
-        wd=1e2, wb=3e4, nuk=1e3, leff=1.0, n=1)
-plot(x, real.(f); xscale=:log10, xlabel="x = E/T", ylabel="Re(integrand)")
+    wd=1e2, wb=3e4, nuk=1e3, leff=1.0, n=1)
+plot(x, real.(f); xscale=:log10, xlabel=\"x = E/T\", ylabel=\"Re(integrand)\")
 ```
 """
 function evaluate_energy_integrand(x_grid::AbstractVector{Float64};
-                                    wn::Float64, wt::Float64, we::Float64,
-                                    wd::Float64, wb::Float64, nuk::Float64,
-                                    leff::Float64, n::Int,
-                                    nutype::String="harmonic", f0type::String="maxwellian",
-                                    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false)
+    wn::Float64, wt::Float64, we::Float64,
+    wd::Float64, wb::Float64, nuk::Float64,
+    leff::Float64, n::Int,
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false)
     p = EnergyParams(wn, wt, we, wd, wb, nuk, leff, n, nutype, f0type, nufac, ximag, qt)
     return [energy_integrand_scalar(x, p) for x in x_grid]
 end
diff --git a/src/KineticForces/KineticForces.jl b/src/KineticForces/KineticForces.jl
index 1ac79ad22..748d19e64 100644
--- a/src/KineticForces/KineticForces.jl
+++ b/src/KineticForces/KineticForces.jl
@@ -59,11 +59,11 @@ include("CalculatedKineticMatrices.jl")
 # ============================================================================
 const mp = 1.672_614e-27      # proton mass (kg)
 const me = 9.109_1e-31        # electron mass (kg)
-const e  = 1.602_191_7e-19    # elementary charge (C)
+const e = 1.602_191_7e-19    # elementary charge (C)
 const eV = e                  # joules per electron-volt
 
 const twopi = 2π
-const μ₀    = 4e-7 * π
+const μ₀ = 4e-7 * π
 const rad2deg = 180 / π
 const deg2rad = π / 180
 const iunit = 1im               # equivalent to Fortran's (0,1)
diff --git a/src/KineticForces/KineticForcesStructs.jl b/src/KineticForces/KineticForcesStructs.jl
index e4eca2581..5d2505b69 100644
--- a/src/KineticForces/KineticForcesStructs.jl
+++ b/src/KineticForces/KineticForcesStructs.jl
@@ -3,12 +3,13 @@
 
 Single source of truth for the NTV calculation methods. Each entry is a NamedTuple
 `(name, flag, kind, doc)`:
-- `name`  — short method identifier used as the HDF5 group key and in `intr.method`
-- `flag`  — the `KineticForcesControl` field symbol that enables the method
-- `kind`  — dispatch routing tag consumed by `method_kind` / `Torque.jl`
-            (`:gar` for the GAR/matrix family, `:fcgl`/`:rlar`/`:clar` for the
-            three special-cased methods)
-- `doc`   — one-line description printed in verbose output
+
+  - `name`  — short method identifier used as the HDF5 group key and in `intr.method`
+  - `flag`  — the `KineticForcesControl` field symbol that enables the method
+  - `kind`  — dispatch routing tag consumed by `method_kind` / `Torque.jl`
+    (`:gar` for the GAR/matrix family, `:fcgl`/`:rlar`/`:clar` for the
+    three special-cased methods)
+  - `doc`   — one-line description printed in verbose output
 
 The method names/docs and the `Compute.jl` enable list are all derived from this
 tuple, and `Torque.jl` routes on `kind`, so the methods are enumerated in one place.
@@ -77,8 +78,9 @@ User-facing control parameters from the TOML `[KineticForces]` section.
 Configures which NTV methods to run, species parameters, tolerances, and output options.
 
 Constructed via keyword arguments or from a TOML dict:
+
 ```julia
-ctrl = KineticForcesControl(; (Symbol(k) => v for (k, v) in inputs["KineticForces"])...)
+ctrl = KineticForcesControl(; (Symbol(k) => v for (k, v) in inputs[\"KineticForces\"])...)
 ```
 
 Immutable: vary a field by building a new control rather than assigning to one (the
@@ -202,12 +204,13 @@ Internal working state for KineticForces calculations.
 Holds equilibrium-derived quantities, profile interpolants, and integration results.
 
 Fields replacing former module-level globals:
-- `ro`, `bo`, `chi1`: Equilibrium geometry parameters
-- `mthsurf`, `mfac`: Poloidal grid info
-- `dbob_m`, `divx_m`: Perturbation mode interpolants
-- `sing_psis`: Rational-surface ψ locations (sorted, from the stability analysis), used as
-  panel boundaries for the outer ψ torque quadrature so the resonant peaks fall on
-  Gauss-Kronrod interval endpoints instead of driving deep adaptive bisection
+
+  - `ro`, `bo`, `chi1`: Equilibrium geometry parameters
+  - `mthsurf`, `mfac`: Poloidal grid info
+  - `dbob_m`, `divx_m`: Perturbation mode interpolants
+  - `sing_psis`: Rational-surface ψ locations (sorted, from the stability analysis), used as
+    panel boundaries for the outer ψ torque quadrature so the resonant peaks fall on
+    Gauss-Kronrod interval endpoints instead of driving deep adaptive bisection
 
 Equilibrium and kinetic profile data are read directly from the
 `PlasmaEquilibrium` (`equil.profiles`, `equil.geometry`) and the
@@ -297,17 +300,17 @@ function KineticForcesInternal(equil; verbose::Bool=false)
     # Axis toroidal field F(0)/ro that normalizes λ = μ·bo/E; F_spline stores 2πF.
     bo_axis = abs(equil.profiles.F_spline(0.0)) / (2π * equil.ro)
     KineticForcesInternal(;
-        ro      = equil.ro,
-        bo      = bo_axis,
-        chi1    = 2π * equil.psio,
+        ro=equil.ro,
+        bo=bo_axis,
+        chi1=2π * equil.psio,
         mthsurf,
-        tpsi_xs       = collect(range(0.0, 1.0, length=nth)),
-        tpsi_B        = Vector{Float64}(undef, nth),
-        tpsi_dBdpsi   = Vector{Float64}(undef, nth),
-        tpsi_dBdtheta = Vector{Float64}(undef, nth),
-        tpsi_jac      = Vector{Float64}(undef, nth),
-        tpsi_djdpsi   = Vector{Float64}(undef, nth),
-        verbose,
+        tpsi_xs=collect(range(0.0, 1.0; length=nth)),
+        tpsi_B=Vector{Float64}(undef, nth),
+        tpsi_dBdpsi=Vector{Float64}(undef, nth),
+        tpsi_dBdtheta=Vector{Float64}(undef, nth),
+        tpsi_jac=Vector{Float64}(undef, nth),
+        tpsi_djdpsi=Vector{Float64}(undef, nth),
+        verbose
     )
 end
 
@@ -317,15 +320,17 @@ end
 Populate perturbation data from PerturbedEquilibriumState into KineticForcesInternal.
 
 Builds three interpolant sets from PE Clebsch displacements:
-1. `xs_m` — [ξ^ψ, ∂ξ^ψ/∂ψ, ξ^α] CubicSeriesInterpolants over ψ
-2. `dbob_m` — δB/B Fourier modes via JBB deweighting (Fortran set_peq)
-3. `divx_m` — ∇·ξ⊥ Fourier modes via JBB deweighting
+
+ 1. `xs_m` — [ξ^ψ, ∂ξ^ψ/∂ψ, ξ^α] CubicSeriesInterpolants over ψ
+ 2. `dbob_m` — δB/B Fourier modes via JBB deweighting (Fortran set_peq)
+ 3. `divx_m` — ∇·ξ⊥ Fourier modes via JBB deweighting
 
 The JBB deweighting algorithm (Fortran pentrc/inputs.f90:828-868):
-1. Apply geometric matrices S,T,X,Y,Z in m-space
-2. Inverse DFT to θ-space
-3. Divide by J·B² at each θ
-4. Forward DFT back to m-space
+
+ 1. Apply geometric matrices S,T,X,Y,Z in m-space
+ 2. Inverse DFT to θ-space
+ 3. Divide by J·B² at each θ
+ 4. Forward DFT back to m-space
 """
 function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::PerturbedEquilibrium.PerturbedEquilibriumState,
                                 ffs::ForceFreeStates.ForceFreeStatesResult,
@@ -399,9 +404,9 @@ function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::Pertur
         psi = psi_grid[ipsi]
 
         # Get Clebsch displacement vectors at this ψ
-        xsp  = view(xi_modes.clebsch_psi,  ipsi, :)       # ξ^ψ [mpert]
+        xsp = view(xi_modes.clebsch_psi, ipsi, :)       # ξ^ψ [mpert]
         xmp1 = view(xi_modes.clebsch_psi1, ipsi, :)       # ∂ξ^ψ/∂ψ [mpert]
-        xms  = view(clebsch_alpha_mat, ipsi, :)            # ξ^α [mpert]
+        xms = view(clebsch_alpha_mat, ipsi, :)            # ξ^α [mpert]
 
         # Evaluate geometric matrices at ψ → mpert² flat vectors, reshape to mpert×mpert
         geom_mats.smats(smat_flat, psi; hint=hint_s)
@@ -421,8 +426,8 @@ function set_perturbation_data!(kf_intr::KineticForcesInternal, pe_state::Pertur
         mul!(jbb_kapx, smat, xsp)
         mul!(jbb_kapx, tmat, xms, 1.0 + 0.0im, 1.0 + 0.0im)   # += tmat * xms
         mul!(jbb_divx, xmat, xmp1)
-        mul!(jbb_divx, ymat, xsp,  1.0 + 0.0im, 1.0 + 0.0im)  # += ymat * xsp
-        mul!(jbb_divx, zmat, xms,  1.0 + 0.0im, 1.0 + 0.0im)  # += zmat * xms
+        mul!(jbb_divx, ymat, xsp, 1.0 + 0.0im, 1.0 + 0.0im)  # += ymat * xsp
+        mul!(jbb_divx, zmat, xms, 1.0 + 0.0im, 1.0 + 0.0im)  # += zmat * xms
         @. jbb_dbob = -(jbb_divx + jbb_kapx)
 
         # Inverse DFT to θ-space, divide by J·B², forward DFT back
@@ -449,9 +454,9 @@ Matches Fortran set_peq lines 859-868: transforms JBB-weighted m-space data
 to θ-space, removes the J·B² weighting at each poloidal angle, and transforms back.
 """
 function _jbb_deweight!(out::AbstractVector{ComplexF64}, jbb_modes::Vector{ComplexF64},
-                        ft::Utilities.FourierTransforms.FourierTransform,
-                        psi::Float64, equil::Equilibrium.PlasmaEquilibrium,
-                        mthsurf::Int, theta_buf::Vector{ComplexF64})
+    ft::Utilities.FourierTransforms.FourierTransform,
+    psi::Float64, equil::Equilibrium.PlasmaEquilibrium,
+    mthsurf::Int, theta_buf::Vector{ComplexF64})
     # Inverse DFT: m-space → θ-space
     theta_buf .= Utilities.FourierTransforms.inverse(ft, jbb_modes)
 
@@ -521,8 +526,8 @@ Accumulated results from all KineticForces computations.
 Written to gpec.h5 under the "KineticForces" group.
 """
 @kwdef mutable struct KineticForcesState
-    method_results::Dict{String, MethodResult} = Dict{String, MethodResult}()
+    method_results::Dict{String,MethodResult} = Dict{String,MethodResult}()
     # Block-diagonal kinetic matrices: key=method, value=(numpert_total, numpert_total, 6)
-    kinetic_matrices::Dict{String, Array{ComplexF64,3}} = Dict{String, Array{ComplexF64,3}}()
+    kinetic_matrices::Dict{String,Array{ComplexF64,3}} = Dict{String,Array{ComplexF64,3}}()
     completed::Bool = false
 end
diff --git a/src/KineticForces/Output.jl b/src/KineticForces/Output.jl
index 75f527ae2..96594f06d 100644
--- a/src/KineticForces/Output.jl
+++ b/src/KineticForces/Output.jl
@@ -140,8 +140,9 @@ Write variable-length integration trajectory records using offset-indexed concat
 This is the standard HDF5 ragged array pattern for storing variable-length data.
 
 # Arguments
-- `mg::HDF5.Group`: HDF5 group for this method
-- `records::Vector{EnergyIntegrationResult}`: Integration records to write
+
+  - `mg::HDF5.Group`: HDF5 group for this method
+  - `records::Vector{EnergyIntegrationResult}`: Integration records to write
 """
 function write_integration_records!(mg::HDF5.Group, records::Vector{EnergyIntegrationResult})
     rg = create_group(mg, "EnergyIntegrals")
@@ -173,13 +174,14 @@ end
 Print a summary of KineticForces results to stdout.
 
 # Arguments
-- `state::KineticForcesState`: Accumulated computation results
-- `verbose::Bool`: Print detailed per-surface results
+
+  - `state::KineticForcesState`: Accumulated computation results
+  - `verbose::Bool`: Print detailed per-surface results
 """
 function print_summary(state::KineticForcesState; verbose::Bool=false)
     for (method_name, result) in state.method_results
         @printf("%-8s  T_phi = %11.3e   2n*dW_k = %11.3e\n",
-                method_name, real(result.total_torque), imag(result.total_torque))
+            method_name, real(result.total_torque), imag(result.total_torque))
     end
     if verbose
         for (method_name, _) in state.kinetic_matrices
diff --git a/src/KineticForces/PitchIntegration.jl b/src/KineticForces/PitchIntegration.jl
index 845cfabc9..52fd40ec6 100644
--- a/src/KineticForces/PitchIntegration.jl
+++ b/src/KineticForces/PitchIntegration.jl
@@ -61,15 +61,17 @@ Gauss-Kronrod quadrature. Uses `QuadGK.quadgk!` with an in-place ComplexF64
 kernel buffer.
 
 The fbnce interpolant returns [ωb, ωd, f₁, f₂, ...] at each λ, where:
-- f₁ = ωb|δJ|²/ro² (scalar torque)
-- f₂:end = ωb·W_outer_products/ro² (kinetic matrix elements, if present)
+
+  - f₁ = ωb|δJ|²/ro² (scalar torque)
+  - f₂:end = ωb·W_outer_products/ro² (kinetic matrix elements, if present)
 
 Splits the domain at the trapped/passing boundary so Gauss-Kronrod resolves
 the kink in leff = ell + n*q (circulating) → ell (trapped). One `quadgk!`
 call writes all `nqty` complex quantities per λ-evaluation.
 
 # Returns
-- `Vector{ComplexF64}` of length nqty: integrated pitch-angle results
+
+  - `Vector{ComplexF64}` of length nqty: integrated pitch-angle results
 """
 function integrate_pitch_gar_quadgk(
     wn::Float64, wt::Float64, we::Float64, nuk::Float64,
@@ -129,28 +131,28 @@ function _pitch_gar_kernel_quadgk!(out::Vector{ComplexF64}, lambda, p::PitchGARP
 
     if is_circulating
         xint_co = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                        p.ell, leff, p.n, p.psi, lambda, p.method;
-                                        nutype=p.nutype, f0type=p.f0type,
-                                        nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                        atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint_counter = integrate_energy(p.wn, p.wt, p.we, wd, -wb, nueff,
-                                             p.ell, leff, p.n, p.psi, lambda, p.method;
-                                             nutype=p.nutype, f0type=p.f0type,
-                                             nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                             atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint = xint_co + xint_counter
     else
         xint = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                     p.ell, leff, p.n, p.psi, lambda, p.method;
-                                     nutype=p.nutype, f0type=p.f0type,
-                                     nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                     atol=p.energy_atol, rtol=p.energy_rtol)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol)
     end
 
     xint_decomposed = complex(p.rex * real(xint), p.imx * imag(xint))
 
     @inbounds for i in 1:p.nqty
-        out[i] = fvals[i + 2] * xint_decomposed
+        out[i] = fvals[i+2] * xint_decomposed
     end
     return nothing
 end
@@ -212,8 +214,8 @@ end
     _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchGARParams)
 
 Dual-output pitch kernel. Fills a length-`2*nqty` buffer:
-  out[1:nqty]          — fwmm half: `fvals * complex(0, imag(xint))`
-  out[nqty+1:2*nqty]   — ftmm half: `fvals * complex(real(xint), 0)`
+out[1:nqty]          — fwmm half: `fvals * complex(0, imag(xint))`
+out[nqty+1:2*nqty]   — ftmm half: `fvals * complex(real(xint), 0)`
 
 One energy integration per λ; both halves share it.
 """
@@ -229,22 +231,22 @@ function _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchG
 
     if is_circulating
         xint_co = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                        p.ell, leff, p.n, p.psi, lambda, p.method;
-                                        nutype=p.nutype, f0type=p.f0type,
-                                        nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                        atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint_counter = integrate_energy(p.wn, p.wt, p.we, wd, -wb, nueff,
-                                             p.ell, leff, p.n, p.psi, lambda, p.method;
-                                             nutype=p.nutype, f0type=p.f0type,
-                                             nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                             atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol, segbuf=p.esegbuf)
         xint = xint_co + xint_counter
     else
         xint = integrate_energy(p.wn, p.wt, p.we, wd, wb, nueff,
-                                     p.ell, leff, p.n, p.psi, lambda, p.method;
-                                     nutype=p.nutype, f0type=p.f0type,
-                                     nufac=p.nufac, ximag=p.ximag, qt=p.qt,
-                                     atol=p.energy_atol, rtol=p.energy_rtol)
+            p.ell, leff, p.n, p.psi, lambda, p.method;
+            nutype=p.nutype, f0type=p.f0type,
+            nufac=p.nufac, ximag=p.ximag, qt=p.qt,
+            atol=p.energy_atol, rtol=p.energy_rtol)
     end
 
     xint_w = complex(0.0, imag(xint))   # fwmm: rex=0, imx=1
@@ -252,9 +254,9 @@ function _pitch_gar_kernel_quadgk_wt!(out::Vector{ComplexF64}, lambda, p::PitchG
 
     nq = p.nqty
     @inbounds for i in 1:nq
-        f = fvals[i + 2]
-        out[i]      = f * xint_w
-        out[i + nq] = f * xint_t
+        f = fvals[i+2]
+        out[i] = f * xint_w
+        out[i+nq] = f * xint_t
     end
     return nothing
 end
diff --git a/src/KineticForces/Torque.jl b/src/KineticForces/Torque.jl
index 1cd40285e..99949647c 100644
--- a/src/KineticForces/Torque.jl
+++ b/src/KineticForces/Torque.jl
@@ -6,36 +6,39 @@ Toroidal torque resulting from nonambipolar transport in perturbed equilibrium.
 Imaginary component is proportional to the kinetic energy Im(T) = 2*n*dW_k.
 
 # Arguments
-- `tpsi_var`: Output complex torque value
-- `psi::Float64`: Normalized poloidal flux
-- `n::Int`: Toroidal mode number
-- `l::Int`: Bounce harmonic number
-- `zi::Int`: Ion charge in fundamental units (e)
-- `mi::Int`: Ion mass (units of proton mass)
-- `wdfac::Float64`: Drift factor
-- `divxfac::Float64`: Divergence factor
-- `electron::Bool`: Calculate quantities for electrons (zi,mi ignored)
-- `method::String`: Integration method (RLAR, CLAR, *GAR, *TMM, *WMM, *KMM)
+
+  - `tpsi_var`: Output complex torque value
+  - `psi::Float64`: Normalized poloidal flux
+  - `n::Int`: Toroidal mode number
+  - `l::Int`: Bounce harmonic number
+  - `zi::Int`: Ion charge in fundamental units (e)
+  - `mi::Int`: Ion mass (units of proton mass)
+  - `wdfac::Float64`: Drift factor
+  - `divxfac::Float64`: Divergence factor
+  - `electron::Bool`: Calculate quantities for electrons (zi,mi ignored)
+  - `method::String`: Integration method (RLAR, CLAR, *GAR, *TMM, *WMM, *KMM)
     where * = F,T,P for full,trapped,passing
-- `equil`: PlasmaEquilibrium with 2D interpolants and named profile/geometry splines
-- `intr::KineticForcesInternal`: Internal state with mode indexing and perturbation splines
-- `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
+  - `equil`: PlasmaEquilibrium with 2D interpolants and named profile/geometry splines
+  - `intr::KineticForcesInternal`: Internal state with mode indexing and perturbation splines
+  - `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
     (n_i, n_e, T_i, T_e, ω_E, ν_i, ν_e) loaded from `kinetic.dat`
 
 # Optional Arguments
-- `op_wmats::Array{ComplexF64,3}`: Store ForceFreeStates matrix elements
+
+  - `op_wmats::Array{ComplexF64,3}`: Store ForceFreeStates matrix elements
 
 # Returns
-- `ComplexF64`: Toroidal torque due to nonambipolar transport
+
+  - `ComplexF64`: Toroidal torque due to nonambipolar transport
 """
 function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
-              zi::Int, mi::Int, wdfac::Float64, divxfac::Float64,
-              electron::Bool, method::String, equil, intr::KineticForcesInternal,
-              kinetic_profiles::Equilibrium.KineticProfileSplines;
-              op_wmats::Union{Nothing,Array{ComplexF64,3}}=nothing,
-              rex_override::Union{Nothing,Float64}=nothing,
-              imx_override::Union{Nothing,Float64}=nothing,
-              atol_xlmda::Float64=1e-9, rtol_xlmda::Float64=1e-6)
+    zi::Int, mi::Int, wdfac::Float64, divxfac::Float64,
+    electron::Bool, method::String, equil, intr::KineticForcesInternal,
+    kinetic_profiles::Equilibrium.KineticProfileSplines;
+    op_wmats::Union{Nothing,Array{ComplexF64,3}}=nothing,
+    rex_override::Union{Nothing,Float64}=nothing,
+    imx_override::Union{Nothing,Float64}=nothing,
+    atol_xlmda::Float64=1e-9, rtol_xlmda::Float64=1e-6)
 
     # Enforce bounds
     if psi > 1
@@ -72,12 +75,12 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     # Sample poloidal quantities on theta grid (buffers pre-allocated on intr).
     mthsurf_local = intr.mthsurf
-    xs            = intr.tpsi_xs
-    B_vals        = intr.tpsi_B
-    dBdpsi_vals   = intr.tpsi_dBdpsi
+    xs = intr.tpsi_xs
+    B_vals = intr.tpsi_B
+    dBdpsi_vals = intr.tpsi_dBdpsi
     dBdtheta_vals = intr.tpsi_dBdtheta
-    jac_vals      = intr.tpsi_jac
-    djdpsi_vals   = intr.tpsi_djdpsi
+    jac_vals = intr.tpsi_jac
+    djdpsi_vals = intr.tpsi_djdpsi
 
     hB = intr.hint2d_eqfun_B
     hJ = intr.hint2d_rzphi_jac
@@ -144,14 +147,14 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     # Flux-function quantities — read directly from named splines on the
     # PlasmaEquilibrium and the externally-loaded KineticProfileSplines.
-    q       = equil.profiles.q_spline(psi)
-    dVdpsi  = equil.profiles.dVdpsi_spline(psi)
+    q = equil.profiles.q_spline(psi)
+    dVdpsi = equil.profiles.dVdpsi_spline(psi)
     if electron
-        n_s       = kinetic_profiles.ne_spline(psi)
-        T_s       = kinetic_profiles.Te_spline(psi)
+        n_s = kinetic_profiles.ne_spline(psi)
+        T_s = kinetic_profiles.Te_spline(psi)
         dn_s_dpsi = kinetic_profiles.ne_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Te_deriv(psi)
-        nu_s      = kinetic_profiles.nue_spline(psi)
+        nu_s = kinetic_profiles.nue_spline(psi)
     else
         # ni_spline / nui_spline carry THIS species' resonant density and its
         # full-composition collisionality (per-species views built by the loader).
@@ -159,7 +162,7 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
         T_s       = kinetic_profiles.Ti_spline(psi)
         dn_s_dpsi = kinetic_profiles.ni_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Ti_deriv(psi)
-        nu_s      = kinetic_profiles.nui_spline(psi)
+        nu_s = kinetic_profiles.nui_spline(psi)
     end
     welec = kinetic_profiles.omegaE_spline(psi)
 
@@ -167,10 +170,10 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
     # time from the kinetic-profile derivatives — no longer baked into the loader.
     wdian = -twopi * T_s * dn_s_dpsi / (chrg * intr.chi1 * n_s)
     wdiat = -twopi * dT_s_dpsi / (chrg * intr.chi1)
-    wphi  = welec + wdian + wdiat
+    wphi = welec + wdian + wdiat
     wtran = sqrt(2 * T_s / mass) / (q * intr.ro)
     wgyro = chrg * intr.bo / mass
-    nuk   = nu_s
+    nuk = nu_s
 
     rsquared_bmin = equil.rzphi_rsquared((psi, theta_bmin))
     if rsquared_bmin <= 0
@@ -187,7 +190,7 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
 
     avg_r = equil.geometry.avg_r_spline(psi)
     avg_R = equil.geometry.avg_R_spline(psi)
-    epsr  = avg_r / avg_R
+    epsr = avg_r / avg_R
     wbhat = (π / 4) * sqrt(epsr / 2) * wtran
     wdhat = q^3 * wtran^2 / (4 * epsr * wgyro) * wdfac
     nueff = nu_s / (2 * epsr)
@@ -196,17 +199,17 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
     kind = method_kind(method)
     if kind == :fcgl
         tpsi_var[] = calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac,
-                                    n_s, T_s, equil, intr)
+            n_s, T_s, equil, intr)
 
     elseif kind == :rlar
         tpsi_var[] = calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                    wdhat, wbhat, nueff, dVdpsi, n_s, T_s,
-                                    dbob_m_f, intr.bo, bmin)
+            wdhat, wbhat, nueff, dVdpsi, n_s, T_s,
+            dbob_m_f, intr.bo, bmin)
 
     elseif kind == :clar
         tpsi_var[] = calculate_clar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                    nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
-                                    tspl, dbob_m_f, divx_m_f, divxfac, wdfac)
+            nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
+            tspl, dbob_m_f, divx_m_f, divxfac, wdfac)
 
     else  # :gar — fgar/tgar/pgar + all *mm matrix methods
         # Evaluate geometric matrices at current ψ if matrix path
@@ -223,17 +226,17 @@ function tpsi!(tpsi_var::Ref{ComplexF64}, psi::Float64, n::Int, l::Int,
             zmat_f = reshape(intr.zmats(psi), intr.mpert, intr.mpert)
         end
         tpsi_var[] = calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                                   nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
-                                   tspl, dbob_m_f, divx_m_f, divxfac, wdfac,
-                                   method, op_wmats;
-                                   chi1=intr.chi1, ro=intr.ro, mfac=intr.mfac,
-                                   mpert=intr.mpert, theta_bmax=theta_bmax,
-                                   B_extrap=B_extrap,
-                                   smat=smat_f, tmat=tmat_f, xmat=xmat_f,
-                                   ymat=ymat_f, zmat=zmat_f,
-                                   energy_atol=atol_xlmda, energy_rtol=rtol_xlmda,
-                                   pitch_atol=atol_xlmda, pitch_rtol=rtol_xlmda,
-                                   rex_override=rex_override, imx_override=imx_override)
+            nuk, intr.bo, bmax, bmin, n_s, T_s, mass, chrg,
+            tspl, dbob_m_f, divx_m_f, divxfac, wdfac,
+            method, op_wmats;
+            chi1=intr.chi1, ro=intr.ro, mfac=intr.mfac,
+            mpert=intr.mpert, theta_bmax=theta_bmax,
+            B_extrap=B_extrap,
+            smat=smat_f, tmat=tmat_f, xmat=xmat_f,
+            ymat=ymat_f, zmat=zmat_f,
+            energy_atol=atol_xlmda, energy_rtol=rtol_xlmda,
+            pitch_atol=atol_xlmda, pitch_rtol=rtol_xlmda,
+            rex_override=rex_override, imx_override=imx_override)
     end
 
     return nothing
@@ -255,8 +258,8 @@ Only valid for bounce harmonic l=0.
 Based on: [Logan et al., Phys. Plasmas 2013]
 """
 function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
-                        n_s::Float64, T_s::Float64, equil,
-                        intr::KineticForcesInternal)::ComplexF64
+    n_s::Float64, T_s::Float64, equil,
+    intr::KineticForcesInternal)::ComplexF64
 
     # Only implemented for l=0
     if l != 0
@@ -267,7 +270,7 @@ function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
 
     # Create spline for poloidal integrands
     cglspl = zeros(2, mthsurf_local + 1)
-    theta_vals = range(0, 1, length=mthsurf_local + 1)
+    theta_vals = range(0, 1; length=mthsurf_local + 1)
 
     # Evaluate poloidal functions and field perturbations
     hB = intr.hint2d_eqfun_B
@@ -301,8 +304,8 @@ function calculate_fcgl(psi, n, l, tspl, dbob_m_f, divx_m_f, divxfac::Float64,
 
     # Calculate torque: T = 2*n*i*n_s*T_s * [weighted integral]
     result = 2.0 * n * im * n_s * T_s *
-        (0.5 * (5.0/3.0) * integral_1 +
-         0.5 * (1.0/3.0) * integral_2)
+             (0.5 * (5.0/3.0) * integral_1 +
+              0.5 * (1.0/3.0) * integral_2)
 
     return result
 end
@@ -319,9 +322,9 @@ Valid for low aspect ratio tokamaks (ε << 1).
 Reference: [Logan et al., Phys. Plasmas, 2013]
 """
 function calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
-                        wdhat, wbhat, nueff, dVdpsi::Float64,
-                        n_s::Float64, T_s::Float64,
-                        dbob_m_f, bo, bmin=0.5)::ComplexF64
+    wdhat, wbhat, nueff, dVdpsi::Float64,
+    n_s::Float64, T_s::Float64,
+    dbob_m_f, bo, bmin=0.5)::ComplexF64
 
     # Setup parameters for energy integration
     lnq = Float64(l)  # Resonant mode for trapped particles
@@ -332,11 +335,11 @@ function calculate_rlar(psi, n, l, q, epsr, wdian, wdiat, welec,
     # Energy-space quadrature
     # This computes ∫ K(x) dx where K is the resonance operator
     xint = integrate_energy(wdian, wdiat, welec, wdhat, wbhat, nueff,
-                         l, lnq, n, psi, lmdamax, "rlar")
+        l, lnq, n, psi, lmdamax, "rlar")
 
     # Kappa/bounce averaging (effect of field perturbations)
     # Placeholder: simplified estimate
-    kappaint_val = sqrt(mean(abs.(dbob_m_f).^2))
+    kappaint_val = sqrt(mean(abs.(dbob_m_f) .^ 2))
 
     # dV/dpsi gradient term from Clebsch coordinate Jacobian
     psi_factor = dVdpsi
@@ -363,8 +366,8 @@ Includes bounce-averaged integrals over lambda (pitch angle).
 Status: Partially implemented (stub for full calculation)
 """
 function calculate_clar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
-                        bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
-                        dbob_m_f, divx_m_f, divxfac, wdfac)::ComplexF64
+    bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
+    dbob_m_f, divx_m_f, divxfac, wdfac)::ComplexF64
 
     @warn "CLAR method not yet fully implemented, returning zero" maxlog=1
     return ComplexF64(0.0, 0.0)
@@ -384,35 +387,37 @@ Can compute torque (*TMM), energy (*WMM), or matrix elements (*KMM/*RMM).
 Ports Fortran torque.F90 GAR branch (lines 529-932).
 
 # Steps
-1. Compute bounce-averaged quantities via `compute_bounce_data()`
-2. Build fbnce interpolant over λ, normalize for numerical stability
-3. Integrate over pitch angle via `integrate_pitch_gar_quadgk()`
-4. Apply torque normalization (Eq. 19, Logan et al. 2013)
-5. If matrix path: assemble and normalize kinetic matrices
+
+ 1. Compute bounce-averaged quantities via `compute_bounce_data()`
+ 2. Build fbnce interpolant over λ, normalize for numerical stability
+ 3. Integrate over pitch angle via `integrate_pitch_gar_quadgk()`
+ 4. Apply torque normalization (Eq. 19, Logan et al. 2013)
+ 5. If matrix path: assemble and normalize kinetic matrices
 
 # Keyword Arguments (rex/imx override)
-- `rex_override::Union{Nothing,Float64}`: Override real-part multiplier for resonance
-  operator. When both overrides are provided, bypasses method-string derivation.
-- `imx_override::Union{Nothing,Float64}`: Override imaginary-part multiplier.
-  Use `rex_override=1.0, imx_override=1.0` to get full complex result for
-  simultaneous kwmat/ktmat extraction via `compute_kinetic_matrices_at_psi!`.
+
+  - `rex_override::Union{Nothing,Float64}`: Override real-part multiplier for resonance
+    operator. When both overrides are provided, bypasses method-string derivation.
+  - `imx_override::Union{Nothing,Float64}`: Override imaginary-part multiplier.
+    Use `rex_override=1.0, imx_override=1.0` to get full complex result for
+    simultaneous kwmat/ktmat extraction via `compute_kinetic_matrices_at_psi!`.
 
 Reference: [Logan et al., Phys. Plasmas 20, 122507 (2013)]
 """
 function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
-                       bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
-                       dbob_m_f, divx_m_f, divxfac, wdfac, method, op_wmats;
-                       chi1::Float64, ro::Float64, mfac::Vector{Int}, mpert::Int,
-                       theta_bmax::Float64, B_extrap,
-                       smat=nothing, tmat=nothing, xmat=nothing,
-                       ymat=nothing, zmat=nothing,
-                       nlmda::Int=128, ntheta::Int=128,
-                       nutype::String="harmonic", f0type::String="maxwellian",
-                       nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
-                       energy_atol::Float64=1e-7, energy_rtol::Float64=1e-5,
-                       pitch_atol::Float64=1e-9, pitch_rtol::Float64=1e-6,
-                       rex_override::Union{Nothing,Float64}=nothing,
-                       imx_override::Union{Nothing,Float64}=nothing)::ComplexF64
+    bmax, bmin, n_s::Float64, T_s::Float64, mass, chrg, tspl,
+    dbob_m_f, divx_m_f, divxfac, wdfac, method, op_wmats;
+    chi1::Float64, ro::Float64, mfac::Vector{Int}, mpert::Int,
+    theta_bmax::Float64, B_extrap,
+    smat=nothing, tmat=nothing, xmat=nothing,
+    ymat=nothing, zmat=nothing,
+    nlmda::Int=128, ntheta::Int=128,
+    nutype::String="harmonic", f0type::String="maxwellian",
+    nufac::Float64=1.0, ximag::Float64=0.0, qt::Bool=false,
+    energy_atol::Float64=1e-7, energy_rtol::Float64=1e-5,
+    pitch_atol::Float64=1e-9, pitch_rtol::Float64=1e-6,
+    rex_override::Union{Nothing,Float64}=nothing,
+    imx_override::Union{Nothing,Float64}=nothing)::ComplexF64
 
     # Bounce-averaged quantities per pitch angle
     bounce = compute_bounce_data(
@@ -443,7 +448,7 @@ function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
         # keeps the historical OLD-path behavior (torque pipeline uses only the
         # real part of the outer products).
         @inbounds for q in 1:nqty_mat, ilmda in 1:bounce.nlmda
-            fbnce_data[ilmda, 3 + q] = real(bounce.wmats_vs_lambda[ilmda, q])
+            fbnce_data[ilmda, 3+q] = real(bounce.wmats_vs_lambda[ilmda, q])
         end
     end
 
@@ -497,7 +502,7 @@ function calculate_gar(psi, n, l, q, epsr, wdian, wdiat, welec, nuk, bo,
         base = 1  # lxint offset after scalar-torque slot (index 1)
 
         # Helper: fetch normalized pitch integral at lxint[base+q] for q ∈ [1..nqty_mat].
-        @inline elem(q) = complex(lxint[base + q] / fbnce_norm[base + q]) * energy_factor
+        @inline elem(q) = complex(lxint[base+q] / fbnce_norm[base+q]) * energy_factor
 
         # A (Hermitian, k=1): upper triangle stored at q ∈ [1..Mu]; mirror to lower.
         off = 0
@@ -586,7 +591,7 @@ without perturbing the perturbative torque pipeline.
 function _setup_surface_state(
     psi::Float64, zi::Int, mi::Int,
     electron::Bool, equil, intr::KineticForcesInternal,
-    kinetic_profiles::Equilibrium.KineticProfileSplines,
+    kinetic_profiles::Equilibrium.KineticProfileSplines
 )
     if electron
         chrg = -1 * e
@@ -597,12 +602,12 @@ function _setup_surface_state(
     end
 
     mthsurf_local = intr.mthsurf
-    xs            = intr.tpsi_xs
-    B_vals        = intr.tpsi_B
-    dBdpsi_vals   = intr.tpsi_dBdpsi
+    xs = intr.tpsi_xs
+    B_vals = intr.tpsi_B
+    dBdpsi_vals = intr.tpsi_dBdpsi
     dBdtheta_vals = intr.tpsi_dBdtheta
-    jac_vals      = intr.tpsi_jac
-    djdpsi_vals   = intr.tpsi_djdpsi
+    jac_vals = intr.tpsi_jac
+    djdpsi_vals = intr.tpsi_djdpsi
 
     hB = intr.hint2d_eqfun_B
     hJ = intr.hint2d_rzphi_jac
@@ -657,17 +662,17 @@ function _setup_surface_state(
 
     q = equil.profiles.q_spline(psi)
     if electron
-        n_s       = kinetic_profiles.ne_spline(psi)
-        T_s       = kinetic_profiles.Te_spline(psi)
+        n_s = kinetic_profiles.ne_spline(psi)
+        T_s = kinetic_profiles.Te_spline(psi)
         dn_s_dpsi = kinetic_profiles.ne_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Te_deriv(psi)
-        nu_s      = kinetic_profiles.nue_spline(psi)
+        nu_s = kinetic_profiles.nue_spline(psi)
     else
-        n_s       = kinetic_profiles.ni_spline(psi)
-        T_s       = kinetic_profiles.Ti_spline(psi)
+        n_s = kinetic_profiles.ni_spline(psi)
+        T_s = kinetic_profiles.Ti_spline(psi)
         dn_s_dpsi = kinetic_profiles.ni_deriv(psi)
         dT_s_dpsi = kinetic_profiles.Ti_deriv(psi)
-        nu_s      = kinetic_profiles.nui_spline(psi)
+        nu_s = kinetic_profiles.nui_spline(psi)
     end
     welec = kinetic_profiles.omegaE_spline(psi)
 
@@ -675,7 +680,7 @@ function _setup_surface_state(
     wdiat = -twopi * dT_s_dpsi / (chrg * intr.chi1)
     wtran = sqrt(2 * T_s / mass) / (q * intr.ro)
     wgyro = chrg * intr.bo / mass
-    nuk   = nu_s
+    nuk = nu_s
 
     rsquared_bmin = equil.rzphi_rsquared((psi, theta_bmin))
     rsquared_bmin > 0 ||
@@ -683,14 +688,14 @@ function _setup_surface_state(
 
     avg_r = equil.geometry.avg_r_spline(psi)
     avg_R = equil.geometry.avg_R_spline(psi)
-    epsr  = avg_r / avg_R
+    epsr = avg_r / avg_R
 
     return (;
         chrg, mass,
         tspl, B_extrap, bmax, bmin, theta_bmax,
         q, n_s, T_s, welec,
         wdian, wdiat, wtran, wgyro, nuk,
-        epsr,
+        epsr
     )
 end
 
@@ -714,8 +719,8 @@ match against Fortran `fourfit.F:1080-1082` (`kwmat_l`, `ktmat_l`).
 
 For the Hermitian-outer-product blocks A/D/H stored as upper-triangles,
 the mirror rule differs between halves:
-  kwmat[j,i] =  conj(kwmat[i,j])   — Hermitian (S_w pure imaginary)
-  ktmat[j,i] = -conj(ktmat[i,j])   — anti-Hermitian (S_t pure real)
+kwmat[j,i] =  conj(kwmat[i,j])   — Hermitian (S_w pure imaginary)
+ktmat[j,i] = -conj(ktmat[i,j])   — anti-Hermitian (S_t pure real)
 Derivation: `conj(S_w) = -S_w` vs `conj(S_t) = S_t`, combined with
 `conj(factor) = -factor` (factor = -i/(2n)). These mirrors recover
 Fortran's independent-slot computation at the mirrored (j,i) positions.
@@ -735,8 +740,8 @@ function kinetic_energy_matrices_for_euler_lagrange!(
     mpert = intr.mpert
     mfac = intr.mfac
     chi1 = intr.chi1
-    ro   = intr.ro
-    bo   = intr.bo
+    ro = intr.ro
+    bo = intr.bo
 
     # Geometric matrices at this ψ
     smat_f = reshape(intr.smats(psi), mpert, mpert)
@@ -805,7 +810,7 @@ function kinetic_energy_matrices_for_euler_lagrange!(
     Mu = (mpert * (mpert + 1)) ÷ 2
     # Fetch normalized element at pitch-integral slot q, from either half.
     # half_offset = 0 for wmm (→kwmat), = nqty for tmm (→ktmat).
-    @inline elem(q, half_offset) = complex(lxint[half_offset + q] / fbnce_norm[q]) * energy_factor
+    @inline elem(q, half_offset) = complex(lxint[half_offset+q] / fbnce_norm[q]) * energy_factor
 
     # For A/D/H Hermitian-outer-product blocks stored as upper-triangles, the
     # lower-triangle reconstruction uses different mirrors per half:
@@ -829,11 +834,16 @@ function kinetic_energy_matrices_for_euler_lagrange!(
 
     for (dest, half, mirror_sign) in ((kwmat, 0, 1.0), (ktmat, nqty, -1.0))
         off = 0
-        _assemble_hermitian!(dest, 1, off, half, mirror_sign);  off += Mu        # A (k=1)
-        _assemble_hermitian!(dest, 4, off, half, mirror_sign);  off += Mu        # D (k=4)
-        _assemble_hermitian!(dest, 6, off, half, mirror_sign);  off += Mu        # H (k=6)
-        _assemble_full!(dest, 2, off, half);                    off += mpert^2   # B (k=2)
-        _assemble_full!(dest, 3, off, half);                    off += mpert^2   # C (k=3)
+        _assemble_hermitian!(dest, 1, off, half, mirror_sign)
+        off += Mu        # A (k=1)
+        _assemble_hermitian!(dest, 4, off, half, mirror_sign)
+        off += Mu        # D (k=4)
+        _assemble_hermitian!(dest, 6, off, half, mirror_sign)
+        off += Mu        # H (k=6)
+        _assemble_full!(dest, 2, off, half)
+        off += mpert^2   # B (k=2)
+        _assemble_full!(dest, 3, off, half)
+        off += mpert^2   # C (k=3)
         _assemble_full!(dest, 5, off, half)                                      # E (k=5)
     end
 
@@ -875,14 +885,15 @@ adjoint combinations `kwmat ± ktmat` in `ForceFreeStates/Kinetic.jl` /
 Fortran `dcon/sing.f:967-1075` for non-Hermitian B_k, C_k, E_k.
 
 # Arguments
-- `kwmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), fwmm half, zeroed on entry
-- `ktmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), ftmm half, zeroed on entry
-- `psi, n, l, zi, mi, wdfac, divxfac, electron`: Same as `tpsi!` (divxfac unused
-  on the matrix path — retained for call-site compatibility)
-- `equil`: PlasmaEquilibrium
-- `intr::KineticForcesInternal`: Internal state with mode indexing, geometric
-  matrices (smats/tmats/xmats/ymats/zmats), and per-surface θ-grid buffers
-- `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
+
+  - `kwmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), fwmm half, zeroed on entry
+  - `ktmat::Array{ComplexF64,3}`: Output (mpert×mpert×6), ftmm half, zeroed on entry
+  - `psi, n, l, zi, mi, wdfac, divxfac, electron`: Same as `tpsi!` (divxfac unused
+    on the matrix path — retained for call-site compatibility)
+  - `equil`: PlasmaEquilibrium
+  - `intr::KineticForcesInternal`: Internal state with mode indexing, geometric
+    matrices (smats/tmats/xmats/ymats/zmats), and per-surface θ-grid buffers
+  - `kinetic_profiles::Equilibrium.KineticProfileSplines`: Named kinetic-profile splines
 
 Reference: [Logan et al., Phys. Plasmas 20, 122507 (2013)]
 """
@@ -904,7 +915,7 @@ function compute_kinetic_matrices_at_psi!(
     end
 
     state = _setup_surface_state(psi, zi, mi, electron,
-                                  equil, intr, kinetic_profiles)
+        equil, intr, kinetic_profiles)
 
     kinetic_energy_matrices_for_euler_lagrange!(
         kwmat, ktmat, state, psi, n, l, wdfac, intr;
@@ -914,5 +925,3 @@ function compute_kinetic_matrices_at_psi!(
 
     return nothing
 end
-
-
diff --git a/src/KineticForces/Utils.jl b/src/KineticForces/Utils.jl
index 51c0cd3a8..0be9b3406 100644
--- a/src/KineticForces/Utils.jl
+++ b/src/KineticForces/Utils.jl
@@ -44,7 +44,7 @@ in `psi_panel_points`).
 function _resonance_nodes_from_frequencies(wbhat_f, welec_f, wdhat_f, grid; n::Int, nl::Int, xeval::Float64=2.5)
     nodes = Float64[]
     sx = sqrt(xeval)
-    for l in -nl:nl
+    for l in (-nl):nl
         append!(nodes, find_sign_change_roots(psi -> l * wbhat_f(psi) * sx + n * (welec_f(psi) + wdhat_f(psi) * xeval), grid))
     end
     return nodes
@@ -71,7 +71,7 @@ the estimate degenerates. Panel placement only needs ~peak-width accuracy, so th
 estimates (single spline evaluations) are sufficient and no bounce averaging is performed.
 """
 function kinetic_resonance_psi_nodes(kinetic_profiles::Equilibrium.KineticProfileSplines, equil;
-                                     n::Int, nl::Int, zi::Int=1, mi::Int=2, electron::Bool=false, wdfac::Float64=1.0, xeval::Float64=2.5)
+    n::Int, nl::Int, zi::Int=1, mi::Int=2, electron::Bool=false, wdfac::Float64=1.0, xeval::Float64=2.5)
     chrg = electron ? -e : zi * e
     mass = electron ? me : mi * mp
     T_spline = electron ? kinetic_profiles.Te_spline : kinetic_profiles.Ti_spline
diff --git a/src/LocalStability/Ballooning.jl b/src/LocalStability/Ballooning.jl
index 2add47a62..5f11e9992 100644
--- a/src/LocalStability/Ballooning.jl
+++ b/src/LocalStability/Ballooning.jl
@@ -755,17 +755,18 @@ function ballooning_alpha_crossings(
     # Δ' as a function of the α scaling at fixed magnetic shear. Failed evaluations
     # (extreme corrections can break the coefficient assembly) count as non-stable
     # samples and are rejected by the crossing classification, like in scan_delta_prime_map.
-    delta_at(scale) = try
-        ballooning_delta_prime(
-            psi_idx,
-            plasma_eq;
-            corr_qprime=0.0,
-            corr_pprime=ref.pprime_norm_ref * (scale - 1.0),
-            theta_k=theta_k
-        ).delta_prime
-    catch
-        NaN
-    end
+    delta_at(scale) =
+        try
+            ballooning_delta_prime(
+                psi_idx,
+                plasma_eq;
+                corr_qprime=0.0,
+                corr_pprime=ref.pprime_norm_ref * (scale - 1.0),
+                theta_k=theta_k
+            ).delta_prime
+        catch
+            NaN
+        end
 
     samples = collect(range(0.0, max_alpha_scale; length=n_scan + 1))
     scales = _ballooning_marginal_crossings(delta_at, samples, tol; max_crossings=max_crossings)
@@ -796,7 +797,7 @@ function _ballooning_marginal_crossings(delta_at, samples, tol; pole_cap=3.0, ma
     k0 == 0 && return Float64[]
     d_anchor = abs(d_prev)
     locs = Float64[]
-    for k in k0+1:n
+    for k in (k0+1):n
         d = delta_at(samples[k])
         if isfinite(d_prev) && isfinite(d) && sign(d) != sign(d_prev) && max(abs(d_prev), abs(d)) <= pole_cap * d_anchor
             lo, hi = samples[k-1], samples[k]
@@ -981,17 +982,18 @@ function ballooning_qprime_crossings(
     # Δ' as a function of the q' scaling at the experimental pressure gradient. Failed
     # evaluations (reversed-shear corrections can break the coefficient assembly) count
     # as non-stable samples and are rejected by the crossing classification.
-    delta_at(scale) = try
-        ballooning_delta_prime(
-            psi_idx,
-            plasma_eq;
-            corr_qprime=ref.qprime_norm_ref * (scale - 1.0),
-            corr_pprime=0.0,
-            theta_k=theta_k
-        ).delta_prime
-    catch
-        NaN
-    end
+    delta_at(scale) =
+        try
+            ballooning_delta_prime(
+                psi_idx,
+                plasma_eq;
+                corr_qprime=ref.qprime_norm_ref * (scale - 1.0),
+                corr_pprime=0.0,
+                theta_k=theta_k
+            ).delta_prime
+        catch
+            NaN
+        end
 
     samples = collect(range(max_qprime_scale, min_qprime_scale; length=n_scan + 1))
     scales = _ballooning_marginal_crossings(delta_at, samples, tol)
diff --git a/src/PerturbedEquilibrium/FieldReconstruction.jl b/src/PerturbedEquilibrium/FieldReconstruction.jl
index 65f36ee51..f4532c6ef 100644
--- a/src/PerturbedEquilibrium/FieldReconstruction.jl
+++ b/src/PerturbedEquilibrium/FieldReconstruction.jl
@@ -980,10 +980,12 @@ function _apply_rzphi_transform(
     # Per-thread scratch (the immutable `ft` functor and `geom` are shared read-only): θ-space
     # transform inputs/outputs (length mtheta) and mode-space forward-DFT outputs (length mpert),
     # so the DFTs run in place with no per-surface allocation.
-    bufs = [(R=zeros(ComplexF64, mtheta), Z=zeros(ComplexF64, mtheta), P=zeros(ComplexF64, mtheta),
-             psi=zeros(ComplexF64, mtheta), th=zeros(ComplexF64, mtheta), ze=zeros(ComplexF64, mtheta),
-             Ro=zeros(ComplexF64, mpert), Zo=zeros(ComplexF64, mpert), Po=zeros(ComplexF64, mpert))
-            for _ in 1:Threads.maxthreadid()]
+    bufs = [
+        (R=zeros(ComplexF64, mtheta), Z=zeros(ComplexF64, mtheta), P=zeros(ComplexF64, mtheta),
+            psi=zeros(ComplexF64, mtheta), th=zeros(ComplexF64, mtheta), ze=zeros(ComplexF64, mtheta),
+            Ro=zeros(ComplexF64, mpert), Zo=zeros(ComplexF64, mpert), Po=zeros(ComplexF64, mpert))
+        for _ in 1:Threads.maxthreadid()
+    ]
 
     Threads.@threads :static for ipsi in 1:npsi
         buf = bufs[Threads.threadid()]
diff --git a/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl b/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
index d8251de38..aa1250030 100644
--- a/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
+++ b/src/PerturbedEquilibrium/PerturbedEquilibriumStructs.jl
@@ -26,7 +26,9 @@ Medium Priority (defer for MWE):
   - `singular_point_method::String` - Method for singular point treatment (default: "standard")
 
 Regularization:
-    # High Priority (MWE)
+
+# High Priority (MWE)
+
   - `reg_spot::Float64` - Regularization width for singular surface smoothing (default: 0.05). Set to 0 to disable. Must be ≥ 0.
 """
 @kwdef struct PerturbedEquilibriumControl
@@ -121,6 +123,7 @@ Metadata [n_rational] — identifies each (surface, n) row:
 
 Control-surface forcing/response spectra [numpert_total], in the three Pharr (2026) field
 representations (all tesla; no flux/weber is stored):
+
   - `forcing_b`/`response_b` - bare normal field b (Σ⁻¹·b̃)
   - `forcing_b_rootarea`/`response_b_rootarea` - root-area-weighted field b̃ (coordinate-invariant)
   - `forcing_b_area`/`response_b_area` - area-weighted field b̄ (= S·b̃; flux is Φ = A·b̄)
@@ -185,18 +188,18 @@ well-conditioned flux-space inductances L, Λ:
     rational_surface_idx::Vector{Int} = Int[]
 
     # Control-surface forcing/response spectra in the three weightings of field representations [numpert_total], tesla
-    forcing_b::Vector{ComplexF64}           = ComplexF64[]  # bare normal field b (forcing Φ_x)
-    forcing_b_rootarea::Vector{ComplexF64}  = ComplexF64[]  # root-area-weighted field b̃ (coordinate-invariant)
-    forcing_b_area::Vector{ComplexF64}      = ComplexF64[]  # area-weighted field b̄
-    response_b::Vector{ComplexF64}          = ComplexF64[]  # bare normal field b (response Φ_tot = P·Φ_x)
+    forcing_b::Vector{ComplexF64} = ComplexF64[]  # bare normal field b (forcing Φ_x)
+    forcing_b_rootarea::Vector{ComplexF64} = ComplexF64[]  # root-area-weighted field b̃ (coordinate-invariant)
+    forcing_b_area::Vector{ComplexF64} = ComplexF64[]  # area-weighted field b̄
+    response_b::Vector{ComplexF64} = ComplexF64[]  # bare normal field b (response Φ_tot = P·Φ_x)
     response_b_rootarea::Vector{ComplexF64} = ComplexF64[]  # root-area-weighted field b̃
-    response_b_area::Vector{ComplexF64}     = ComplexF64[]  # area-weighted field b̄
+    response_b_area::Vector{ComplexF64} = ComplexF64[]  # area-weighted field b̄
 
     # Control surface matrices [numpert_total × numpert_total], root-area-weighted field (b̃) space
-    plasma_inductance::Matrix{ComplexF64}  = zeros(ComplexF64, 0, 0)  # Λ̃ (field space)
+    plasma_inductance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # Λ̃ (field space)
     surface_inductance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # L̃ (field space)
-    permeability::Matrix{ComplexF64}       = zeros(ComplexF64, 0, 0)  # P̃ = R⁻¹·Λ·L⁻¹·R
-    reluctance::Matrix{ComplexF64}         = zeros(ComplexF64, 0, 0)  # ϱ̃ = R†·L⁻¹·(Λ−L)·L⁻¹·R
+    permeability::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # P̃ = R⁻¹·Λ·L⁻¹·R
+    reluctance::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # ϱ̃ = R†·L⁻¹·(Λ−L)·L⁻¹·R
     rootarea_to_area_weight::Matrix{ComplexF64} = zeros(ComplexF64, 0, 0)  # S = Σ/√A at psilim: b̃→b̄ recovery operator
     surface_area::Float64 = 0.0  # scalar control-surface area A = ∫J|∇ψ|dθ (flux: Φ = A·b̄; conform R = S·A)
 
diff --git a/src/PerturbedEquilibrium/Utils.jl b/src/PerturbedEquilibrium/Utils.jl
index fc1eb9c0a..38be26f87 100644
--- a/src/PerturbedEquilibrium/Utils.jl
+++ b/src/PerturbedEquilibrium/Utils.jl
@@ -12,8 +12,9 @@ avoiding repeated index arithmetic throughout the code.
 ## Mode Indexing Convention
 
 For linear index i ∈ [1, numpert_total]:
-- m_modes[i] = (i-1) % mpert + mlow
-- n_modes[i] = (i-1) ÷ mpert + nlow
+
+  - m_modes[i] = (i-1) % mpert + mlow
+  - n_modes[i] = (i-1) ÷ mpert + nlow
 
 This matches the convention used in ForceFreeStates where modes are ordered as:
 (m1,n1), (m2,n1), ..., (mpert,n1), (m1,n2), (m2,n2), ..., (mpert,npert)
@@ -110,47 +111,47 @@ function write_outputs_to_HDF5(
 
         # Forcing modes
         forcing_group = haskey(pe_group, "ForcingModes") ? pe_group["ForcingModes"] : create_group(pe_group, "ForcingModes")
-        forcing_group["n"]         = [mode.n for mode in intr.forcing_modes]
-        forcing_group["m"]         = [mode.m for mode in intr.forcing_modes]
+        forcing_group["n"] = [mode.n for mode in intr.forcing_modes]
+        forcing_group["m"] = [mode.m for mode in intr.forcing_modes]
         forcing_group["amplitude"] = [mode.amplitude for mode in intr.forcing_modes]
 
         # Control-surface forcing/response spectra in the three Pharr field representations
         # (all tesla; flux/weber is never stored). b̃ = root-area-weighted (coordinate-invariant).
-        !isempty(state.forcing_b)           && (pe_group["forcing_b"]            = state.forcing_b)
-        !isempty(state.forcing_b_rootarea)  && (pe_group["forcing_b_root_area"]  = state.forcing_b_rootarea)
-        !isempty(state.forcing_b_area)      && (pe_group["forcing_b_area"]       = state.forcing_b_area)
-        !isempty(state.response_b)          && (pe_group["response_b"]           = state.response_b)
+        !isempty(state.forcing_b) && (pe_group["forcing_b"] = state.forcing_b)
+        !isempty(state.forcing_b_rootarea) && (pe_group["forcing_b_root_area"] = state.forcing_b_rootarea)
+        !isempty(state.forcing_b_area) && (pe_group["forcing_b_area"] = state.forcing_b_area)
+        !isempty(state.response_b) && (pe_group["response_b"] = state.response_b)
         !isempty(state.response_b_rootarea) && (pe_group["response_b_root_area"] = state.response_b_rootarea)
-        !isempty(state.response_b_area)     && (pe_group["response_b_area"]      = state.response_b_area)
+        !isempty(state.response_b_area) && (pe_group["response_b_area"] = state.response_b_area)
 
         # Control surface matrices [numpert_total × numpert_total], in coordinate-invariant
         # root-area-weighted field (b̃) space. Recover the area-weighted field b̄ with the stored
         # operator S ≡ rootarea_to_area_weight (b̄ = S·b̃): e.g. L_b̄ = S·L̃·S†; recover flux with the
         # scalar surface_area A: Φ = A·b̄  (internally R = S·A, Φ = R·b̃). [Pharr 2026]
         mat_group = haskey(pe_group, "ResponseMatrices") ? pe_group["ResponseMatrices"] : create_group(pe_group, "ResponseMatrices")
-        !isempty(state.plasma_inductance)  && (mat_group["plasma_inductance"]  = state.plasma_inductance)
+        !isempty(state.plasma_inductance) && (mat_group["plasma_inductance"] = state.plasma_inductance)
         !isempty(state.surface_inductance) && (mat_group["surface_inductance"] = state.surface_inductance)
-        !isempty(state.permeability)       && (mat_group["permeability"]       = state.permeability)
-        !isempty(state.reluctance)         && (mat_group["reluctance"]         = state.reluctance)
+        !isempty(state.permeability) && (mat_group["permeability"] = state.permeability)
+        !isempty(state.reluctance) && (mat_group["reluctance"] = state.reluctance)
         !isempty(state.rootarea_to_area_weight) && (mat_group["rootarea_to_area_weight_operator"] = state.rootarea_to_area_weight)
-        (state.surface_area != 0.0)        && (mat_group["surface_area"]       = state.surface_area)
+        (state.surface_area != 0.0) && (mat_group["surface_area"] = state.surface_area)
 
         # Response fields (ComplexF64 directly)
         response_group = haskey(pe_group, "Response") ? pe_group["Response"] : create_group(pe_group, "Response")
         !isempty(state.psi_grid) && (response_group["psi"] = state.psi_grid)
         have_xi = !isnothing(state.xi_modes)
-        have_b  = have_xi && !isnothing(state.b_modes)
-        response_group["xi_psi"]    = have_xi ? state.xi_modes.psi      : ComplexF64[]
-        response_group["b_psi_area_weighted"]  = have_b  ? state.b_modes.b_psi_area_weighted : ComplexF64[]
-        response_group["Jb_theta"]   = have_b  ? state.b_modes.theta    : ComplexF64[]
-        response_group["Jb_zeta"]    = have_b  ? state.b_modes.zeta     : ComplexF64[]
-        response_group["b_n"]       = !isnothing(state.b_n_modes)  ? state.b_n_modes  : ComplexF64[]
-        response_group["xi_n"]      = !isnothing(state.xi_n_modes) ? state.xi_n_modes : ComplexF64[]
+        have_b = have_xi && !isnothing(state.b_modes)
+        response_group["xi_psi"] = have_xi ? state.xi_modes.psi : ComplexF64[]
+        response_group["b_psi_area_weighted"] = have_b ? state.b_modes.b_psi_area_weighted : ComplexF64[]
+        response_group["Jb_theta"] = have_b ? state.b_modes.theta : ComplexF64[]
+        response_group["Jb_zeta"] = have_b ? state.b_modes.zeta : ComplexF64[]
+        response_group["b_n"] = !isnothing(state.b_n_modes) ? state.b_n_modes : ComplexF64[]
+        response_group["xi_n"] = !isnothing(state.xi_n_modes) ? state.xi_n_modes : ComplexF64[]
 
         # Clebsch displacements for PENTRC (matches Fortran gpout_xclebsch)
         if have_xi
-            response_group["xi_clebsch_psi"]   = state.xi_modes.clebsch_psi
-            response_group["dxi_clebsch_psidpsi"]  = state.xi_modes.clebsch_psi1
+            response_group["xi_clebsch_psi"] = state.xi_modes.clebsch_psi
+            response_group["dxi_clebsch_psidpsi"] = state.xi_modes.clebsch_psi1
             response_group["xi_clebsch_alpha"] = state.xi_modes.clebsch_alpha
         end
 
@@ -158,36 +159,36 @@ function write_outputs_to_HDF5(
         if have_xi
             response_group["Jxi_psi"] = state.xi_modes.psi_J
             response_group["Jxi_theta"] = state.xi_modes.theta
-            response_group["Jxi_zeta"]  = state.xi_modes.zeta
+            response_group["Jxi_zeta"] = state.xi_modes.zeta
         end
 
         # Covariant components (from gpeq_cova)
         if have_xi
-            response_group["xi_cov_psi"]   = state.xi_modes.cova_psi
+            response_group["xi_cov_psi"] = state.xi_modes.cova_psi
             response_group["xi_cov_theta"] = state.xi_modes.cova_theta
-            response_group["xi_cov_zeta"]  = state.xi_modes.cova_zeta
+            response_group["xi_cov_zeta"] = state.xi_modes.cova_zeta
         end
         if have_xi
             response_group["Jxi_theta_reg"] = state.xi_modes.theta_reg
-            response_group["Jxi_zeta_reg"]  = state.xi_modes.zeta_reg
+            response_group["Jxi_zeta_reg"] = state.xi_modes.zeta_reg
         end
         if have_b
             response_group["Jb_theta_reg"] = state.b_modes.theta_reg
-            response_group["Jb_zeta_reg"]  = state.b_modes.zeta_reg
-            response_group["b_cov_psi"]   = state.b_modes.cova_psi
+            response_group["Jb_zeta_reg"] = state.b_modes.zeta_reg
+            response_group["b_cov_psi"] = state.b_modes.cova_psi
             response_group["b_cov_theta"] = state.b_modes.cova_theta
-            response_group["b_cov_zeta"]  = state.b_modes.cova_zeta
+            response_group["b_cov_zeta"] = state.b_modes.cova_zeta
         end
 
         # R,Z,φ cylindrical components in mode-space (from gpeq_rzphi)
         if have_xi
-            response_group["xi_R"]   = state.xi_modes.R
-            response_group["xi_Z"]   = state.xi_modes.Z
+            response_group["xi_R"] = state.xi_modes.R
+            response_group["xi_Z"] = state.xi_modes.Z
             response_group["xi_phi"] = state.xi_modes.phi
         end
         if have_b
-            response_group["b_R"]   = state.b_modes.R
-            response_group["b_Z"]   = state.b_modes.Z
+            response_group["b_R"] = state.b_modes.R
+            response_group["b_Z"] = state.b_modes.Z
             response_group["b_phi"] = state.b_modes.phi
         end
 
@@ -195,34 +196,34 @@ function write_outputs_to_HDF5(
         coupling_group = haskey(pe_group, "SingularCoupling") ? pe_group["SingularCoupling"] : create_group(pe_group, "SingularCoupling")
 
         # Coupling matrices [n_rational × numpert_total]
-        !isempty(state.C_resonant_area_weighted_field)   && (coupling_group["C_resonant_area_weighted_field"]   = state.C_resonant_area_weighted_field)
+        !isempty(state.C_resonant_area_weighted_field) && (coupling_group["C_resonant_area_weighted_field"] = state.C_resonant_area_weighted_field)
         !isempty(state.C_resonant_current) && (coupling_group["C_resonant_current"] = state.C_resonant_current)
-        !isempty(state.C_island_width_sq)  && (coupling_group["C_island_width_sq"]  = state.C_island_width_sq)
+        !isempty(state.C_island_width_sq) && (coupling_group["C_island_width_sq"] = state.C_island_width_sq)
         !isempty(state.C_penetrated_area_weighted_field) && (coupling_group["C_penetrated_area_weighted_field"] = state.C_penetrated_area_weighted_field)
-        !isempty(state.C_delta_prime)      && (coupling_group["C_Delta_prime"]      = state.C_delta_prime)
+        !isempty(state.C_delta_prime) && (coupling_group["C_Delta_prime"] = state.C_delta_prime)
 
         # Applied resonant vectors [n_rational]
-        !isempty(state.resonant_area_weighted_field)     && (coupling_group["resonant_area_weighted_field"]     = state.resonant_area_weighted_field)
-        !isempty(state.resonant_current)   && (coupling_group["resonant_current"]   = state.resonant_current)
-        !isempty(state.island_width_sq)    && (coupling_group["island_width_sq"]    = state.island_width_sq)
-        !isempty(state.penetrated_area_weighted_field)   && (coupling_group["penetrated_area_weighted_field"] = state.penetrated_area_weighted_field)
-        !isempty(state.delta_prime)        && (coupling_group["Delta_prime"]        = state.delta_prime)
-        !isempty(state.forcing_solution_weights)         && (coupling_group["forcing_solution_weights"] = state.forcing_solution_weights)
+        !isempty(state.resonant_area_weighted_field) && (coupling_group["resonant_area_weighted_field"] = state.resonant_area_weighted_field)
+        !isempty(state.resonant_current) && (coupling_group["resonant_current"] = state.resonant_current)
+        !isempty(state.island_width_sq) && (coupling_group["island_width_sq"] = state.island_width_sq)
+        !isempty(state.penetrated_area_weighted_field) && (coupling_group["penetrated_area_weighted_field"] = state.penetrated_area_weighted_field)
+        !isempty(state.delta_prime) && (coupling_group["Delta_prime"] = state.delta_prime)
+        !isempty(state.forcing_solution_weights) && (coupling_group["forcing_solution_weights"] = state.forcing_solution_weights)
         !isempty(state.rational_area) && (coupling_group["rational_area"] = state.rational_area)
-        !isempty(state.island_half_width)  && (coupling_group["island_half_width"]  = state.island_half_width)
+        !isempty(state.island_half_width) && (coupling_group["island_half_width"] = state.island_half_width)
         !isempty(state.chirikov_parameter) && (coupling_group["chirikov_parameter"] = state.chirikov_parameter)
 
         # Metadata [n_rational]
-        !isempty(state.rational_psi)       && (coupling_group["rational_psi"]       = state.rational_psi)
-        !isempty(state.rational_q)         && (coupling_group["rational_q"]         = state.rational_q)
-        !isempty(state.rational_m_res)     && (coupling_group["rational_m"]     = state.rational_m_res)
-        !isempty(state.rational_n)         && (coupling_group["rational_n"]         = state.rational_n)
+        !isempty(state.rational_psi) && (coupling_group["rational_psi"] = state.rational_psi)
+        !isempty(state.rational_q) && (coupling_group["rational_q"] = state.rational_q)
+        !isempty(state.rational_m_res) && (coupling_group["rational_m"] = state.rational_m_res)
+        !isempty(state.rational_n) && (coupling_group["rational_n"] = state.rational_n)
 
         # Energies
         energy_group = haskey(pe_group, "Energies") ? pe_group["Energies"] : create_group(pe_group, "Energies")
-        energy_group["vacuum_energy"]   = state.vacuum_energy
-        energy_group["surface_energy"]  = state.surface_energy
-        energy_group["plasma_energy"]   = state.plasma_energy
+        energy_group["vacuum_energy"] = state.vacuum_energy
+        energy_group["surface_energy"] = state.surface_energy
+        energy_group["plasma_energy"] = state.plasma_energy
         energy_group["toroidal_torque"] = state.toroidal_torque
 
         annotate_pe!(pe_group)
@@ -261,7 +262,8 @@ const PE_H5_ANNOTATIONS = [
     "Response/xi_cov_psi" => (; long_name="covariant radial displacement ξ_ψ = ξ·e_ψ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_cov_theta" => (; long_name="covariant poloidal displacement ξ_θ = ξ·e_θ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_cov_zeta" => (; long_name="covariant toroidal displacement ξ_ζ = ξ·e_ζ", units="m^2", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
-    "Response/xi_clebsch_psi" => (; long_name="Clebsch displacement component ξ^ψ (PENTRC input, gpout_xclebsch convention)", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
+    "Response/xi_clebsch_psi" =>
+        (; long_name="Clebsch displacement component ξ^ψ (PENTRC input, gpout_xclebsch convention)", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/dxi_clebsch_psidpsi" =>
         (; long_name="regularized ψ_N derivative of ξ^ψ (× singfac²/(singfac²+reg_spot²))", dims=("psi", "mode"), attach=(1 => "Response/psi",)),
     "Response/xi_clebsch_alpha" =>
diff --git a/src/Rerun.jl b/src/Rerun.jl
index 03c19bea6..a71401637 100644
--- a/src/Rerun.jl
+++ b/src/Rerun.jl
@@ -37,7 +37,8 @@ function read_equilibrium_ingest(in_h5)
     haskey(in_h5, group_path) || return nothing
     group = in_h5[group_path]
     kind = read(group, "ingest_kind")
-    T = kind == "direct" ? Equilibrium.DirectIngest :
+    T =
+        kind == "direct" ? Equilibrium.DirectIngest :
         kind == "inverse" ? Equilibrium.InverseIngest :
         error("Unknown equilibrium ingest_kind in gpec.h5: $kind (expected \"direct\" or \"inverse\")")
     # Positional reconstruction: relies on the default constructor, so `fieldnames(T)` order
@@ -75,8 +76,8 @@ numbers, booleans, and quoted strings without worrying about shell quoting.
 function parse_override_flag(expr::AbstractString)
     eqidx = findfirst(==('='), expr)
     eqidx === nothing && error("--override expects key=value, got: $expr")
-    lhs = String(strip(expr[1:eqidx-1]))
-    rhs = String(strip(expr[eqidx+1:end]))
+    lhs = String(strip(expr[1:(eqidx-1)]))
+    rhs = String(strip(expr[(eqidx+1):end]))
     isempty(lhs) && error("--override key cannot be empty: $expr")
 
     parts = split(lhs, '.')
@@ -97,7 +98,7 @@ function parse_override_flag(expr::AbstractString)
     # Build nested dict from dotted path.
     root = Dict{String,Any}()
     cursor = root
-    for p in parts[1:end-1]
+    for p in parts[1:(end-1)]
         cursor[String(p)] = Dict{String,Any}()
         cursor = cursor[String(p)]
     end
@@ -176,7 +177,7 @@ function resolve_rerun_output_path(source_h5::String, output_dir::String, output
     source_abs = abspath(source_h5)
     if output_name === nothing
         base = basename(source_abs)
-        stem = endswith(lowercase(base), ".h5") ? base[1:end-3] : base
+        stem = endswith(lowercase(base), ".h5") ? base[1:(end-3)] : base
         output_name = string(stem, "_rerun.h5")
     end
     if abspath(joinpath(output_dir, output_name)) == source_abs
@@ -281,9 +282,11 @@ function build_inputs_from_h5(args::Vector{String})
     elseif ingest isa Equilibrium.InverseIngest
         Equilibrium.build_inverse_from_ingest(eq_config, ingest)
     else
-        error("gpec.h5 has no equilibrium ingest and eq_type=$(eq_config.eq_type) is not analytic — cannot replay. " *
-              "A file-based eq_type needs a stored ingest (pre-ingest snapshots lack one); a new analytic kind must be " *
-              "registered in Equilibrium.ANALYTIC_EQ.")
+        error(
+            "gpec.h5 has no equilibrium ingest and eq_type=$(eq_config.eq_type) is not analytic — cannot replay. " *
+            "A file-based eq_type needs a stored ingest (pre-ingest snapshots lack one); a new analytic kind must be " *
+            "registered in Equilibrium.ANALYTIC_EQ."
+        )
     end
 
     return inputs, eq_config, additional_input, output_dir, current_git, preloaded_forcing, preloaded_coils
diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
index 453f04b73..1fe90461a 100644
--- a/src/Tearing/CriticalResonantField/CriticalResonantField.jl
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -14,8 +14,8 @@ using ..InnerLayer
 using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
     SLAYERModel, SLAYERParameters
 
-#include("TorqueBalance.jl")
+include("TorqueBalance.jl")
 
-#export TorqueBalance, torque_balance
+export TorqueBalance, torque_balance_value, torque_balance_scan
 
 end # module CriticalResonantField
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index c85bff102..517737c57 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -25,98 +25,62 @@
 """
     TorqueBalance{M<:InnerLayerModel, P}
 
-Per-surface dispersion data: `(model, params, dp_diag, dc, scale, tauk)`.
-Calling `sc(Q)` returns the complex residual
+Per-surface torque balance data: `(model, params, Q0, P, lu, sval)`.
 
-```
-r(Q) = dp_diag - scale * solve_inner(model, params, Q).tearing - dc
-```
-
-A root of `sc` in the complex `Q` plane is a **tearing** eigenvalue at
-this surface in the *uncoupled* approximation (only the tearing channel
-of the inner-layer response appears — the interchange channel enters the
-full 2m×2m dispersion via `MultiSurfaceCoupling`, not this scalar form).
-Coupled multi-surface eigenvalues come from `MultiSurfaceCoupling`
-evaluating the determinant of the modified Δ' matrix.
 """
-struct SurfaceCoupling{M<:InnerLayerModel,P}
+
+struct TorqueBalance{M<:InnerLayerModel,P}
     model::M
     params::P
-    dp_diag::ComplexF64
-    dc::Float64
-    scale::Float64
-    tauk::Float64
+    Q0::Float64
+    P::Float64
+    lu::Float64
+    sval::Float64
 end
 
-function (sc::SurfaceCoupling)(Q::Number)
-    Δ = solve_inner(sc.model, sc.params, ComplexF64(Q)).tearing
-    return sc.dp_diag - sc.scale * Δ - sc.dc
+function torque_balance_value(tb::TorqueBalance, Q::Number)
+    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
+    delta_n_p = 1e-2 # JK hack to avoid singularity at Δ=0.0. Need to fix this in the future.
+    jxb = -imag(1.0 / (Δ + delta_n_p))
+    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
 end
 
 """
-    surface_coupling(model::SLAYERModel, params::SLAYERParameters,
-                     dp_diag::Number; dc::Real=0.0) -> SurfaceCoupling
+    torque_balance_scan(model::InnerLayerModel, params::InnerLayerParameters, Q0::Real, P::Real,
+        lu::Real, sval::Real;Qmin=-10.0, Qmax=10.0, n=200) -> (Qs, bal, Qs_positive, bal_positive,
+        Qpeak, br_crit, Qpeak_ind, Δs)
 
-SLAYER convenience constructor. `scale` is set to `params.lu^(1/3)` so that
-the dimensionless Δ from `riccati_f` is mapped to outer ψ-units before
-subtraction from the Δ' diagonal. `tauk` is taken from `params.tauk` for use
-by `MultiSurfaceCoupling` Q rescaling.
+Scan over a range of Q values to find the maximum of the torque balance equation.
+Returns the Q values, torque balance values, positive Q values, positive torque balance values,
+the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
-function surface_coupling(model::SLAYERModel, params::SLAYERParameters,
-    dp_diag::Number; dc::Real=0.0)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        Float64(dc), params.lu^(1 / 3), params.tauk)
-end
 
-"""
-    surface_coupling(model::GGJModel, params::GGJParameters,
-                     dp_diag::Number) -> SurfaceCoupling
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
+    Qs = range(Qmin, Qmax; length=n)
+    torque_out = [torque_balance_value(tb, q) for q in Qs]
+    bal = [x[1] for x in torque_out]
+    Δs = [x[2] for x in torque_out]
+    positive = isfinite.(bal) .& (bal .> 0.0)
 
-GGJ convenience constructor. `scale` is `1.0` because GGJ's `solve_inner`
-applies its own `rescale_delta` (S^(2p₁/3)·v1^(2p₁)) internally, so the
-returned Δ is already in outer units. `tauk` defaults to `1.0` (GGJ has no
-direct analogue of SLAYER's per-surface time normalization, so multi-surface
-Q rescaling is a no-op for GGJ surfaces unless overridden).
+    if !any(positive)
+        return Qs, bal, [0.0], [0.0], 0.0, 0.0, NaN, Δs
+    end
+    i = argmax(bal)
+    Qpeak_ind = i
+    Qpeak = Qs[i]
+    maxbal = bal[i]
 
-**No `dc` kwarg**: GGJ's 4m×4m Pletzer-Dewar residual already includes the
-interchange channel, which provides Glasser (Mercier) stabilization
-natively. A Δ_crit proxy (χ_parallel-matching offset on the diagonal) is
-meaningful only for tearing-only slab-layer approximations like SLAYER;
-for GGJ it would double-count the interchange physics. The `SurfaceCoupling`
-struct's `dc` field is hard-wired to 0 here.
-"""
-function surface_coupling(model::GGJModel, params::GGJParameters,
-    dp_diag::Number)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        0.0, 1.0, 1.0)
-end
+    Qs_positive = Qs[positive]
+    bal_positive = bal[positive]
 
-"""
-    surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
-                     dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
-        -> SurfaceCoupling
-
-Generic fallback constructor. Use this when wiring a new inner-layer model
-into the dispersion solver — pass the appropriate inner→outer-units `scale`
-and per-surface `tauk` explicitly.
-"""
-function surface_coupling(model::InnerLayerModel, params, dp_diag::Number;
-    dc::Real=0.0, scale::Real=1.0, tauk::Real=1.0)
-    return SurfaceCoupling(model, params, ComplexF64(dp_diag),
-        Float64(dc), Float64(scale), Float64(tauk))
-end
+    i = argmax(bal_positive)
+    #Qpeak = Qs_positive[i]
 
-function torque_balance_value(tb::TorqueBalance, Q::Number)
-    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
-    jxb = -imag(1.0 / (Δ + tb.delta_n_p))
-    return 2.0 * tb.P * (tb.Q0 - Q) / jxb
-end
+    #maxbal = bal_positive[i]
 
-function scan_torque_balance(tb; Qmin=-10.0, Qmax=10.0, nscan=200)
-    qs = range(Qmin, Qmax; length=nscan)
-    vals = torque_balance_value.(Ref(tb), qs)
-    idx = argmax(vals)
-    return qs[idx], vals[idx]
+    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
+    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs
 end
 
-br_th = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
+# Need to fix and improve this function. The positive masking is not helpful.
+# Need to avoid poles from Q_e and Q_i.
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index 78490c308..4af00e1f0 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -23,16 +23,11 @@
     "using GeneralizedPerturbedEquilibrium: Analysis\n",
     "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
     "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
     "using Plots\n",
     "default(\n",
     "    fontfamily=\"Georgia\",\n",
@@ -45,23 +40,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "struct TorqueBalance\n",
-    "    model\n",
-    "    params\n",
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
     "    Q0::Float64\n",
     "    P::Float64\n",
-    "    delta_n_p::Float64\n",
     "    lu::Float64\n",
     "    sval::Float64\n",
     "end\n",
     "\n",
     "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
     "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
+    "    delta_n_p = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ + delta_n_p))\n",
     "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
     "end\n",
     "\n",
@@ -94,108 +89,162 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
+    "# You can substitute any valid SLAYERParameters you already have.\n",
+    "# This is just an example skeleton.\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
     "\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "#p = p2\n",
     "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, Float64[], Float64[], NaN, NaN, 0, Δs\n",
-    "    end\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    1.0,\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
     "\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
     "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    maxbal = bal_positive[i]\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
     "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end\n",
-    "# one-cell scan: x = b_crit, y = Q_0\n",
-    "Q0_vals = range(-2.0, 2.0; length=60)\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
     "\n",
-    "bcrit_vals = Float64[]\n",
-    "locked_flag = Bool[]\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
     "\n",
-    "for Q0 in Q0_vals\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
+    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
     "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qpk = Qs_positive[argmax(bal_positive)]\n",
+    "j   = findfirst(isequal(Qpk), Qs)\n",
     "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_vals, NaN)\n",
-    "        push!(locked_flag, false)\n",
-    "    else\n",
-    "        push!(bcrit_vals, brcrit)\n",
-    "        push!(locked_flag, true)\n",
-    "    end\n",
-    "end\n",
+    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
+    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
     "\n",
-    "# keep only finite x-values for plotting\n",
-    "x = bcrit_vals[isfinite.(bcrit_vals)]\n",
-    "y = Q0_vals[isfinite.(bcrit_vals)]\n",
-    "locked = locked_flag[isfinite.(bcrit_vals)]\n",
-    "\n",
-    "p = scatter(\n",
-    "    x[locked], y[locked],\n",
-    "    label=\"locked\",\n",
-    "    color=:green,\n",
-    "    markersize=5,\n",
-    "    marker=:circle,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked boundary\",\n",
-    "    legend=:topleft\n",
-    ")\n",
+    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
     "\n",
-    "scatter!(\n",
-    "    p,\n",
-    "    x[.!locked], y[.!locked],\n",
-    "    label=\"unlocked\",\n",
-    "    color=:red,\n",
-    "    markersize=5,\n",
-    "    marker=:square\n",
-    ")\n",
     "\n",
-    "display(p)"
+    "\n",
+    "println(\"lhs = \", lhs)\n",
+    "println(\"rhs = \", rhs)\n",
+    "println(\"lhs/rhs = \", lhs / rhs)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import Pkg; Pkg.add(\"DataInterpolations\")"
+    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
+    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Recreate Cihan's plot:\n",
+    "\n",
     "using Plots\n",
     "using DataInterpolations\n",
     "\n",
@@ -300,54 +349,13 @@
     "display(p)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "8",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "#p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -355,141 +363,7 @@
    "id": "9",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "\n",
-    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
-    "lu=tau_r/tau_h                   ! Lundquist number\n",
-    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
-    "\n",
-    "! note Q depends on Qconv even if omega is fixed.\n",
-    "Q=Qconv*omega\n",
-    "Q_e=-Qconv*omega_e\n",
-    "Q_i=-Qconv*omega_i\n",
-    "\n",
-    "\"\"\"\n",
-    "2=-lu**(1.0/3.0)*tau_h *OE\n",
-    "2 = tauk *OE"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qpk = Qs_positive[argmax(bal_positive)]\n",
-    "j   = findfirst(isequal(Qpk), Qs)\n",
-    "\n",
-    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
-    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
-    "\n",
-    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
-    "\n",
-    "\n",
-    "\n",
-    "println(\"lhs = \", lhs)\n",
-    "println(\"rhs = \", rhs)\n",
-    "println(\"lhs/rhs = \", lhs / rhs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
+   "source": []
   }
  ],
  "metadata": {
diff --git a/src/Tearing/Dispersion/BruteForceScan.jl b/src/Tearing/Dispersion/BruteForceScan.jl
index 6e7b8aead..c1f2b55fb 100644
--- a/src/Tearing/Dispersion/BruteForceScan.jl
+++ b/src/Tearing/Dispersion/BruteForceScan.jl
@@ -15,12 +15,12 @@
 
 Output of a brute-force or AMR Q-plane scan.
 
-| field      | meaning                                           |
-|------------|---------------------------------------------------|
-| `Q`        | Complex Q values (`Matrix` for grid, `Vector` for AMR)   |
-| `Δ`        | Residual values, same shape as `Q`                       |
-| `re_axis`  | Real-axis grid (only for regular-grid `ScanResult`)      |
-| `im_axis`  | Imaginary-axis grid (only for regular-grid `ScanResult`) |
+| field     | meaning                                                  |
+|:--------- |:-------------------------------------------------------- |
+| `Q`       | Complex Q values (`Matrix` for grid, `Vector` for AMR)   |
+| `Δ`       | Residual values, same shape as `Q`                       |
+| `re_axis` | Real-axis grid (only for regular-grid `ScanResult`)      |
+| `im_axis` | Imaginary-axis grid (only for regular-grid `ScanResult`) |
 """
 struct ScanResult
     Q::Matrix{ComplexF64}
@@ -53,15 +53,15 @@ from the result.
   - `threaded`    -- distribute Q evaluations across `Threads.@threads`
 """
 function brute_force_scan(f, Q_re_range::NTuple{2,<:Real},
-                          Q_im_range::NTuple{2,<:Real};
-                          nre::Integer, nim::Integer,
-                          threaded::Bool=true)
+    Q_im_range::NTuple{2,<:Real};
+    nre::Integer, nim::Integer,
+    threaded::Bool=true)
     nre >= 2 || throw(ArgumentError("brute_force_scan: nre must be ≥ 2"))
     nim >= 2 || throw(ArgumentError("brute_force_scan: nim must be ≥ 2"))
     re_axis = collect(range(Float64(Q_re_range[1]); stop=Float64(Q_re_range[2]),
-                            length=nre))
+        length=nre))
     im_axis = collect(range(Float64(Q_im_range[1]); stop=Float64(Q_im_range[2]),
-                            length=nim))
+        length=nim))
     Q = ComplexF64[(qr + qi*im) for qr in re_axis, qi in im_axis]
     Δ = Matrix{ComplexF64}(undef, nre, nim)
     if threaded
diff --git a/src/Tearing/Dispersion/ContourSearchAMR.jl b/src/Tearing/Dispersion/ContourSearchAMR.jl
index 3533a1773..5cf369eda 100644
--- a/src/Tearing/Dispersion/ContourSearchAMR.jl
+++ b/src/Tearing/Dispersion/ContourSearchAMR.jl
@@ -243,7 +243,7 @@ function amr_scan(f, Q_re_range::NTuple{2,<:Real},
     _bulk_eval_into_cache!(cache, f, corners; parallel=parallel)
 
     cells = Vector{AMRCell}(undef, nre0 * nim0)
-    @inbounds for j in 0:nim0-1, i in 0:nre0-1
+    @inbounds for j in 0:(nim0-1), i in 0:(nre0-1)
         # Read corner Q values from the same `corners` array used to populate
         # the cache. Recomputing them with `x + re_step` here would differ in
         # the last floating-point bit from the cache keys, causing spurious
@@ -573,7 +573,7 @@ function multi_box_amr_scan(f,
 
         # Build pre-screen cells
         ps_cells = Vector{AMRCell}(undef, prescreen_nre * prescreen_nim)
-        @inbounds for j in 0:prescreen_nim-1, i in 0:prescreen_nre-1
+        @inbounds for j in 0:(prescreen_nim-1), i in 0:(prescreen_nre-1)
             q_bl = corners[j*ncorners_x+i+1]
             q_br = corners[j*ncorners_x+(i+1)+1]
             q_tl = corners[(j+1)*ncorners_x+i+1]
diff --git a/src/Tearing/Dispersion/CoupledFullMatch.jl b/src/Tearing/Dispersion/CoupledFullMatch.jl
index 9b0f136c9..ed68c4445 100644
--- a/src/Tearing/Dispersion/CoupledFullMatch.jl
+++ b/src/Tearing/Dispersion/CoupledFullMatch.jl
@@ -155,7 +155,7 @@ function (mc::MultiSurfaceCouplingFull)(Q::Number)
     # Allocate the matching matrix and fill the lower-left 2m × 2m block
     # with transpose(dp_raw[1:s2, 1:s2]).
     mat = zeros(ComplexF64, s4, s4)
-    @views mat[s2+1:s4, 1:s2] .= transpose(mc.dp_raw[1:s2, 1:s2])
+    @views mat[(s2+1):s4, 1:s2] .= transpose(mc.dp_raw[1:s2, 1:s2])
 
     # Per-surface inner-layer assembly
     @inbounds for k in 1:m
diff --git a/src/Tearing/Dispersion/GrowthRateExtraction.jl b/src/Tearing/Dispersion/GrowthRateExtraction.jl
index 42c2c9681..796e67633 100644
--- a/src/Tearing/Dispersion/GrowthRateExtraction.jl
+++ b/src/Tearing/Dispersion/GrowthRateExtraction.jl
@@ -253,10 +253,10 @@ function _all_intersections(re_paths::Vector{Vector{ComplexF64}},
     im_paths::Vector{Vector{ComplexF64}})
     out = ComplexF64[]
     for re_path in re_paths
-        for i in 1:length(re_path)-1
+        for i in 1:(length(re_path)-1)
             a, b = re_path[i], re_path[i+1]
             for im_path in im_paths
-                for j in 1:length(im_path)-1
+                for j in 1:(length(im_path)-1)
                     c, d = im_path[j], im_path[j+1]
                     pt = _segment_intersection(a, b, c, d)
                     pt !== nothing && push!(out, pt)
@@ -468,7 +468,7 @@ function _median_segment_length(re_paths::Vector{Vector{ComplexF64}},
     im_paths::Vector{Vector{ComplexF64}})
     lens = Float64[]
     for paths in (re_paths, im_paths), p in paths
-        @inbounds for i in 1:length(p)-1
+        @inbounds for i in 1:(length(p)-1)
             push!(lens, abs(p[i+1] - p[i]))
         end
     end
@@ -811,7 +811,7 @@ function _march_triangle(p1::ComplexF64, p2::ComplexF64, p3::ComplexF64,
     v1::ComplexF64, v2::ComplexF64, v3::ComplexF64,
     re_target::Float64, im_target::Float64)
     return (_march_single(p1, p2, p3, real(v1), real(v2), real(v3),
-            imag(v1), imag(v2), imag(v3), re_target),
+        imag(v1), imag(v2), imag(v3), re_target),
         _march_single(p1, p2, p3, imag(v1), imag(v2), imag(v3),
             real(v1), real(v2), real(v3), im_target))
 end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index 1a12ff7e6..88e8fe091 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -4,6 +4,9 @@
 # growth-rate analysis. Populated either directly via the `@kwdef`
 # constructor or by parsing the `[SLAYER]` (and nested `[SLAYER.*]`)
 # section(s) of a `gpec.toml`.
+#
+# `CriticalResonantFieldControl` holds the user-facing knobs that drive the critical resonant field
+# analysis. Populated either directly via the `@kwdef` constructor or by parsing the `[CriticalResonantField]` section of a `gpec.toml`.
 
 """
     SLAYERControl
@@ -268,3 +271,41 @@ function slayer_control_from_toml(section::AbstractDict)
     end
     return validate(SLAYERControl(; kwargs...))
 end
+
+"""
+    CriticalResonantFieldControl
+
+Configuration for the critical resonant field analysis. All fields are
+user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
+`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
+constructor.
+"""
+@kwdef struct CriticalResonantFieldControl
+    enabled::Bool = false
+    inner_model::Symbol = :slayer_fitzpatrick
+    Qmin::Float64 = -10.0
+    Qmax::Float64 = 10.0
+    n::Int = 200
+    profile_file::String = ""
+    profile_group::String = "/"
+    store_scan::Bool = false
+end
+
+function critical_resonant_field_control_from_toml(section::AbstractDict)
+    flat = Dict{String,Any}()
+    for (k, v) in section
+        flat[k] = v
+    end
+
+    kwargs = Dict{Symbol,Any}()
+    for (k, v) in flat
+        sym = Symbol(k)
+        if sym in (:inner_model,)
+            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
+        else
+            kwargs[sym] = v
+        end
+    end
+
+    return CriticalResonantFieldControl(; kwargs...)
+end
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index ca4287147..02c3f5da9 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -1,6 +1,6 @@
 # HDF5Output.jl
 #
-# Write a `SLAYERResult` into an HDF5 group. Designed to be called by the
+# Write a `SLAYERResult` or `CriticalResonantFieldResult` into an HDF5 group. Designed to be called by the
 # existing `PerturbedEquilibrium.write_outputs_to_HDF5` path — the
 # top-level GPEC runner wires that up; this file only defines the pure
 # writer.
@@ -57,6 +57,38 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     return g
 end
 
+function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group},
+    result::CriticalResonantFieldResult)
+
+    if !haskey(parent, "Tearing")
+        create_group(parent, "Tearing")
+    end
+    g = create_group(parent["Tearing"], "CriticalResonantField")
+
+    g["surface_index"] = result.surface_index
+    g["Qpeak"] = result.Qpeak
+    g["br_crit"] = result.br_crit
+    g["Q0"] = result.Q0
+    g["P"] = result.P
+
+    if !isempty(result.scan_data)
+        scan_group = create_group(g, "Scan")
+        for d in result.scan_data
+            sg = create_group(scan_group, "surface_$(d.surface)")
+            sg["Q"] = d.Q
+            sg["balance"] = d.balance
+            sg["delta"] = d.delta
+            sg["Q_positive"] = d.Q_positive
+            sg["balance_positive"] = d.balance_positive
+            sg["Qpeak"] = d.Qpeak
+            sg["br_crit"] = d.br_crit
+        end
+    end
+
+    attrs(g)["kind"] = "critical_resonant_field"
+    return g
+end
+
 # Token recorded in the Tearing group's layer_model attribute; keyed by the
 # per-surface parameter type since the SLAYER and GGJ branches write disjoint fields.
 _layer_model_token(::Type{SLAYERParameters}) = "slayer"
diff --git a/src/Tearing/Runner/Result.jl b/src/Tearing/Runner/Result.jl
index 0cffc21c9..9132e8421 100644
--- a/src/Tearing/Runner/Result.jl
+++ b/src/Tearing/Runner/Result.jl
@@ -3,6 +3,10 @@
 # `SLAYERResult` packages the output of a full SLAYER analysis run:
 # per-surface layer parameters, the extracted tearing eigenvalues, and (if
 # `control.store_scan`) the full Q-plane scan data for plotting.
+#
+# `CriticalResonantFieldResult` packages the output of the critical resonant field analysis run:
+# per-surface critical resoant field. If `control.store_scan` is true, the full Q scan data,
+# viscous torque, and electromagnetic torque are also stored for plotting.
 
 """
     SLAYERResult
@@ -22,9 +26,9 @@ downstream inspection and HDF5 output.
     the surface list), in which case the HDF5 writer skips them.
   - `dp_matrix`           -- outer-region Δ' matrix used in the analysis
   - `Q_root`              -- tearing eigenvalue(s) in normalized Q
-    * length `nsurfaces` in `:uncoupled` mode
-    * length `1` in `:coupled` mode (global eigenvalue normalized by
-      `params[1].tauk`)
+      + length `nsurfaces` in `:uncoupled` mode
+      + length `1` in `:coupled` mode (global eigenvalue normalized by
+        `params[1].tauk`)
   - `omega_Hz`, `gamma_Hz` -- physical rotation frequency / growth rate
   - `per_surface_extraction` -- `Vector{GrowthRateResult}` of length
     `nsurfaces` in uncoupled mode (each includes polelines, pole list,
@@ -64,3 +68,33 @@ function empty_slayer_result(control::SLAYERControl)
                         LayerWidths[],
                         Union{ScanResult,AMRResult}[])
 end
+
+"""
+    CriticalResonantFieldResult
+
+Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
+"""
+
+struct CriticalResonantFieldResult
+    enabled::Bool
+    params::AbstractVector{<:InnerLayerParameters}
+    surface_index::Vector{Int}
+    Qpeak::Vector{Float64}
+    br_crit::Vector{Float64}
+    Q0::Vector{Float64}
+    P::Vector{Float64}
+    scan_data::Vector{NamedTuple}
+end
+
+function empty_critical_resonant_field_result()
+    return CriticalResonantFieldResult(
+        false,
+        InnerLayerParameters[],
+        Int[],
+        Float64[],
+        Float64[],
+        Float64[],
+        Float64[],
+        NamedTuple[]
+    )
+end
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index 919088065..df3293b2f 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -32,11 +32,14 @@ using ..Utilities
 using ..Utilities: KineticProfiles
 using ...Equilibrium: read_kinetic_file, KineticProfileData
 using ..InnerLayer
-using ..InnerLayer: InnerLayerParameters, InnerLayerResponse, solve_inner,
+using ..InnerLayer:
+    InnerLayerParameters, InnerLayerResponse, solve_inner,
     SLAYERModel, SLAYERParameters, build_slayer_inputs,
     GGJModel, GGJParameters,
     LayerWidths, slayer_layer_thickness
 import ..build_ggj_inputs   # defined at the Tearing level (needs ForceFreeStates)
+import ...Equilibrium as Equilibrium
+using ...Equilibrium: read_kinetic_file, KineticProfileData, load_kinetic_profiles
 using ..Dispersion
 using ..Dispersion: SurfaceCoupling, surface_coupling,
     MultiSurfaceCoupling, multi_surface_coupling,
@@ -54,5 +57,9 @@ export SLAYERControl, slayer_control_from_toml, validate
 export SLAYERResult, empty_slayer_result
 export run_slayer, run_slayer_from_inputs, ggj_inner_deltas
 export write_slayer_hdf5!
+export CriticalResonantFieldControl, critical_resonant_field_control_from_toml
+export CriticalResonantFieldResult, empty_critical_resonant_field_result
+export run_critical_resonant_field
+export write_critical_resonant_field_hdf5!
 
 end # module Runner
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 2a29c63a8..3dca41bbc 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -455,3 +455,82 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
     rational_q = Float64[surfaces[p.ising].q for p in params]
     return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
 end
+
+# ---------------------------------------------------------------------
+# Critical Resonant Field (Torque-Balance) Workflow
+# ---------------------------------------------------------------------
+"""
+    Critical Resonant Field (Torque-Balance) Workflow
+
+    The critical resonant field is the minimum resonant magnetic perturbation
+    amplitude that can drive a tearing mode unstable.
+
+    Returns a `CriticalResonantFieldResult` containing the critical resonant field
+    and the corresponding critical resoannt field values for each rational surface.
+"""
+
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./")
+    ctrl.enabled || return empty_critical_resonant_field_result()
+
+    # Use the same per-surface params already built for SLAYER
+    profiles = Equilibrium.load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+    params = build_slayer_inputs(equil, intr.sing, profiles)
+
+    surface_index = Int[]
+    Qpeak_vec = Float64[]
+    br_vec = Float64[]
+    Q0_vec = Float64[]
+    P_vec = Float64[]
+    scan_data = NamedTuple[]
+
+    for (isurf, p) in enumerate(params)
+        # Fill in the actual per-surface drive from your model
+        Q0_here = 0.5
+        P_here = 1.0
+
+        tb = TorqueBalance(
+            SLAYERModel{:fitzpatrick}(),
+            p,
+            Q0_here,
+            P_here,
+            p.lu,
+            p.sval_r
+        )
+
+        Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs =
+            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+
+        push!(surface_index, isurf)
+        push!(Qpeak_vec, Qpeak)
+        push!(br_vec, br_crit)
+        push!(Q0_vec, Q0_here)
+        push!(P_vec, P_here)
+
+        if ctrl.store_scan
+            push!(
+                scan_data,
+                (
+                    surface=isurf,
+                    Q=collect(Qs),
+                    balance=collect(bal),
+                    delta=collect(Δs),
+                    Q_positive=collect(Qs_positive),
+                    balance_positive=collect(bal_positive),
+                    Qpeak=Qpeak,
+                    br_crit=br_crit
+                )
+            )
+        end
+    end
+
+    return CriticalResonantFieldResult(
+        true,
+        params,
+        surface_index,
+        Qpeak_vec,
+        br_vec,
+        Q0_vec,
+        P_vec,
+        scan_data
+    )
+end
diff --git a/src/Tearing/Tearing.jl b/src/Tearing/Tearing.jl
index ae3ed8e3c..3ebd35996 100644
--- a/src/Tearing/Tearing.jl
+++ b/src/Tearing/Tearing.jl
@@ -6,6 +6,8 @@
 #   InnerLayer  -- pure physics: Δ_inner(Q) for GGJ or SLAYER models
 #   Dispersion  -- physics-agnostic scan + contour-intersection root
 #                  extraction (consumes any InnerLayerModel)
+#   CriticalResonantField -- physics-agnostic scan + torque-balance root
+#                  extraction (consumes any InnerLayerModel)
 #   Runner      -- user-facing orchestration: TOML config, profile
 #                  loading, HDF5 output, workflow hooks
 #
diff --git a/src/Utilities/GridUtilities.jl b/src/Utilities/GridUtilities.jl
index a02bf0d08..71e255699 100644
--- a/src/Utilities/GridUtilities.jl
+++ b/src/Utilities/GridUtilities.jl
@@ -11,25 +11,27 @@ Power-law spaced grid with analytic derivative calculation.
 Creates a grid with more points concentrated near boundaries.
 
 # Arguments
-- `x_min, x_max`: Grid boundaries
-- `npower::Int`: Power law exponent (1=linear, higher=more concentration at edges)
-- `nx::Int`: Number of grid points
-- `spacing::String`: "lower" (concentrate at x_min), "upper" (at x_max), or "both"
+
+  - `x_min, x_max`: Grid boundaries
+  - `npower::Int`: Power law exponent (1=linear, higher=more concentration at edges)
+  - `nx::Int`: Number of grid points
+  - `spacing::String`: "lower" (concentrate at x_min), "upper" (at x_max), or "both"
 
 # Returns
-- `Matrix{Float64}`: (2, nx) where row 1 = positions, row 2 = dr/d(norm) derivatives
+
+  - `Matrix{Float64}`: (2, nx) where row 1 = positions, row 2 = dr/d(norm) derivatives
 """
 function powspace(x_min::Float64, x_max::Float64, npower::Int, nx::Int,
-                  spacing::String)::Matrix{Float64}
+    spacing::String)::Matrix{Float64}
 
     result = zeros(Float64, 2, nx)
 
     y = if spacing == "lower"
-        collect(range(-1.0, 0.0, length=nx))
+        collect(range(-1.0, 0.0; length=nx))
     elseif spacing == "upper"
-        collect(range(0.0, 1.0, length=nx))
+        collect(range(0.0, 1.0; length=nx))
     elseif spacing == "both"
-        collect(range(-1.0, 1.0, length=nx))
+        collect(range(-1.0, 1.0; length=nx))
     else
         error("Unknown spacing type: $spacing. Use \"lower\", \"upper\", or \"both\".")
     end
@@ -78,10 +80,10 @@ end
 function _powspace_numeric_integral(y::Float64, npower::Int)::Float64
     y == 0.0 && return 0.0
     npts = 100
-    y_int = range(0.0, y, length=npts)
+    y_int = range(0.0, y; length=npts)
     f_int = abs.((y_int .- 1) .* (y_int .+ 1)) .^ npower
     integral = (f_int[1] + f_int[npts]) / 2
-    for i in 2:(npts - 1)
+    for i in 2:(npts-1)
         integral += f_int[i]
     end
     return integral * (y / (npts - 1))
diff --git a/src/Utilities/HDF5Annotations.jl b/src/Utilities/HDF5Annotations.jl
index 1fff44e62..33e055b4f 100644
--- a/src/Utilities/HDF5Annotations.jl
+++ b/src/Utilities/HDF5Annotations.jl
@@ -7,8 +7,7 @@ Self-describing metadata for `gpec.h5` (the contract in
 datasets are marked as HDF5 Dimension Scales (netCDF-4 coordinate variables) attached
 to the arrays that share their axis, so h5py/xarray/HDFView read the file unaided.
 
-Writers stay table-driven: each writer keeps a table of `path => (; long_name, units,
-dims)` entries next to it and calls [`annotate!`](@ref) once after its datasets are
+Writers stay table-driven: each writer keeps a table of `path => (; long_name, units, dims)` entries next to it and calls [`annotate!`](@ref) once after its datasets are
 written. Paths absent from the file are skipped silently (many writes are conditional).
 """
 module HDF5Annotations
diff --git a/src/Utilities/PhysicalConstants.jl b/src/Utilities/PhysicalConstants.jl
index a9668b611..6511e6df2 100644
--- a/src/Utilities/PhysicalConstants.jl
+++ b/src/Utilities/PhysicalConstants.jl
@@ -10,11 +10,11 @@ All quantities in SI units.
 module PhysicalConstants
 
 # Match the Fortran GPEC/SLAYER sglobal_mod values exactly so cross-code numerical comparison is meaningful.
-const MU_0  = 4.0e-7 * π            # vacuum permeability         [H/m]
-const M_E   = 9.1094e-31            # electron mass               [kg]
-const M_P   = 1.6726e-27            # proton mass                 [kg]
+const MU_0 = 4.0e-7 * π            # vacuum permeability         [H/m]
+const M_E = 9.1094e-31            # electron mass               [kg]
+const M_P = 1.6726e-27            # proton mass                 [kg]
 const E_CHG = 1.6021917e-19         # elementary charge           [C]
-const K_B   = 1.3807e-23            # Boltzmann constant          [J/K]
+const K_B = 1.3807e-23            # Boltzmann constant          [J/K]
 const EPS_0 = 8.8542e-12            # vacuum permittivity         [F/m]
 
 export MU_0, M_E, M_P, E_CHG, K_B, EPS_0
diff --git a/src/Vacuum/PnQuadCache.jl b/src/Vacuum/PnQuadCache.jl
index 6e0b8b719..4d6de9850 100644
--- a/src/Vacuum/PnQuadCache.jl
+++ b/src/Vacuum/PnQuadCache.jl
@@ -26,7 +26,7 @@ const _PN_BGAUS = 2.5
 const (_PN_TG02, _PN_WANUMR) = let
     x32, w32 = gausslegendre(32)
     tg0 = [_PN_AGAUS + x32[i] * _PN_BGAUS for i in 1:32]
-    tg02   = NTuple{32,Float64}(t * t for t in tg0)
+    tg02 = NTuple{32,Float64}(t * t for t in tg0)
     wanumr = NTuple{32,Float64}(w32[i] * tg0[i] * exp(-tg0[i]^2) for i in 1:32)
     (tg02, wanumr)
 end
@@ -94,17 +94,19 @@ end
 
 function _make_pn_quad_entry(n::Int)
     @assert n >= 1 "PnQuadEntry is only defined for n ≥ 1 (Γ(1/2 - n) diverges at n = 0)"
-    inv_2n   = 1.0 / (2.0 * n)
+    inv_2n = 1.0 / (2.0 * n)
     inv_2np2 = 1.0 / (2.0 * n + 2.0)
-    sh  = Vector{Float64}(undef, 32)
-    ch  = Vector{Float64}(undef, 32)
+    sh = Vector{Float64}(undef, 32)
+    ch = Vector{Float64}(undef, 32)
     shp = Vector{Float64}(undef, 32)
     chp = Vector{Float64}(undef, 32)
     @inbounds for ig in 1:32
-        x  = _PN_TG02[ig] * inv_2n
+        x = _PN_TG02[ig] * inv_2n
         xp = _PN_TG02[ig] * inv_2np2
-        sh[ig]  = sinh(x);  ch[ig]  = cosh(x)
-        shp[ig] = sinh(xp); chp[ig] = cosh(xp)
+        sh[ig] = sinh(x)
+        ch[ig] = cosh(x)
+        shp[ig] = sinh(xp)
+        chp[ig] = cosh(xp)
     end
 
     # Compute the Gamma function Γ(1/2 - n) via the product formula.
@@ -117,7 +119,7 @@ function _make_pn_quad_entry(n::Int)
     # Combine into scale factors used in the final Legendre function assembly.
     # Pre-computing these once per n avoids repeating the Gamma product on every s-call.
     sqtwo = sqrt(2.0)
-    gauss_norm_n   = sqtwo / (n * sqpi * gamn)
+    gauss_norm_n = sqtwo / (n * sqpi * gamn)
     gauss_norm_np1 = sqtwo / ((n + 1.0) * sqpi * gamp)
 
     return PnQuadEntry(sh, ch, shp, chp, gauss_norm_n, gauss_norm_np1)
diff --git a/test/runtests_coordinate_invariant.jl b/test/runtests_coordinate_invariant.jl
index 39b20330a..63fe773e3 100644
--- a/test/runtests_coordinate_invariant.jl
+++ b/test/runtests_coordinate_invariant.jl
@@ -43,31 +43,31 @@ end
     fm = PE.field_space_response_matrices(Λ, L, P, ϱ, S, jarea)
 
     @testset "Flux recovery contract (round-trip via R = S·A)" begin
-        @test R * fm.permeability / R ≈ P                rtol = 1e-10
-        @test R * fm.surface_inductance * R' ≈ L         rtol = 1e-10
-        @test R * fm.plasma_inductance * R' ≈ Λ          rtol = 1e-10
-        @test (R') \ fm.reluctance / R ≈ ϱ               rtol = 1e-10
+        @test R * fm.permeability / R ≈ P rtol = 1e-10
+        @test R * fm.surface_inductance * R' ≈ L rtol = 1e-10
+        @test R * fm.plasma_inductance * R' ≈ Λ rtol = 1e-10
+        @test (R') \ fm.reluctance / R ≈ ϱ rtol = 1e-10
     end
 
     @testset "Area-weighted (b̄) recovery via S (= flux/A²)" begin
         # b̄-space inductance L_b̄ = S·L̃·S† = L/A² since S·R⁻¹ = A⁻¹·I.
-        @test S * fm.surface_inductance * S' ≈ L ./ jarea^2   rtol = 1e-10
-        @test S * fm.plasma_inductance * S' ≈ Λ ./ jarea^2    rtol = 1e-10
-        @test S * fm.permeability / S ≈ P                     rtol = 1e-10   # similarity: A cancels
+        @test S * fm.surface_inductance * S' ≈ L ./ jarea^2 rtol = 1e-10
+        @test S * fm.plasma_inductance * S' ≈ Λ ./ jarea^2 rtol = 1e-10
+        @test S * fm.permeability / S ≈ P rtol = 1e-10   # similarity: A cancels
     end
 
     @testset "Internal consistency of the b̃ transform rules" begin
-        @test fm.permeability ≈ fm.plasma_inductance / fm.surface_inductance      rtol = 1e-10
+        @test fm.permeability ≈ fm.plasma_inductance / fm.surface_inductance rtol = 1e-10
         L̃inv = inv(fm.surface_inductance)
-        @test fm.reluctance ≈ L̃inv * (fm.plasma_inductance - fm.surface_inductance) * L̃inv  rtol = 1e-10
+        @test fm.reluctance ≈ L̃inv * (fm.plasma_inductance - fm.surface_inductance) * L̃inv rtol = 1e-10
     end
 
     @testset "Energy-scalar invariance (flux ↔ b̃)" begin
         Φ = ComplexF64[cis(0.3k) / k for k in 1:n]
         b̃ = R \ Φ                          # root-area-weighted field
-        @test dot(Φ, L \ Φ) ≈ dot(b̃, fm.surface_inductance \ b̃)   rtol = 1e-10
-        @test dot(Φ, Λ \ Φ) ≈ dot(b̃, fm.plasma_inductance \ b̃)    rtol = 1e-10
-        @test dot(Φ, ϱ * Φ) ≈ dot(b̃, fm.reluctance * b̃)           rtol = 1e-10
+        @test dot(Φ, L \ Φ) ≈ dot(b̃, fm.surface_inductance \ b̃) rtol = 1e-10
+        @test dot(Φ, Λ \ Φ) ≈ dot(b̃, fm.plasma_inductance \ b̃) rtol = 1e-10
+        @test dot(Φ, ϱ * Φ) ≈ dot(b̃, fm.reluctance * b̃) rtol = 1e-10
     end
 
     @testset "Three-field vector relations (b, b̃, b̄; flux = A·b̄)" begin
@@ -75,9 +75,9 @@ end
         b̄ = S * b̃                          # area-weighted field
         b = (S .* sqrt(jarea)) \ b̃          # bare field b = Σ⁻¹·b̃
         Φ = R * b̃                           # poloidal flux
-        @test Φ ≈ jarea .* b̄               rtol = 1e-12   # Φ = A·b̄
-        @test b̄ ≈ Φ ./ jarea               rtol = 1e-12
-        @test (S .* sqrt(jarea)) * b ≈ b̃    rtol = 1e-12   # Σ·b = b̃
+        @test Φ ≈ jarea .* b̄ rtol = 1e-12   # Φ = A·b̄
+        @test b̄ ≈ Φ ./ jarea rtol = 1e-12
+        @test (S .* sqrt(jarea)) * b ≈ b̃ rtol = 1e-12   # Σ·b = b̃
     end
 end
 
diff --git a/test/runtests_dispersion_amr.jl b/test/runtests_dispersion_amr.jl
index 014f3d019..86ed61653 100644
--- a/test/runtests_dispersion_amr.jl
+++ b/test/runtests_dispersion_amr.jl
@@ -13,7 +13,7 @@
 
         # Small 2×2 initial grid → 9 unique corners
         amr = amr_scan(counting_f, (-1.0, 1.0), (-1.0, 1.0);
-                        nre0=2, nim0=2, passes=0)
+            nre0=2, nim0=2, passes=0)
         @test amr isa AMRResult
         @test length(amr.cells) == 4       # 2×2 cells
         # Dedup: 9 unique corners (3×3)
@@ -27,7 +27,7 @@
         amr0 = amr_scan(f, (-1.0, 1.0), (-1.0, 1.0); nre0=4, nim0=4, passes=0)
         amr3 = amr_scan(f, (-1.0, 1.0), (-1.0, 1.0); nre0=4, nim0=4, passes=3)
         @test length(amr3.cells) > length(amr0.cells)
-        @test length(amr3.Q)    > length(amr0.Q)
+        @test length(amr3.Q) > length(amr0.Q)
         # A 4×4 coarse grid is 16 cells; adding 3 refinement passes must
         # leave the total bounded by exponential growth of only the cells
         # bracketing the root (roughly linear in the path length).
@@ -36,26 +36,26 @@
 
     @testset "amr_scan: argument validation" begin
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=0, nim0=2, passes=1)
+            nre0=0, nim0=2, passes=1)
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=2, nim0=0, passes=1)
+            nre0=2, nim0=0, passes=1)
         @test_throws ArgumentError amr_scan(identity, (0.0, 1.0), (0.0, 1.0);
-                                              nre0=2, nim0=2, passes=-1)
+            nre0=2, nim0=2, passes=-1)
     end
 
     @testset "amr_scan: max_cells safety cap fires" begin
         # A pathological f that forces every cell to subdivide every pass
         f(Q) = 0.0 + 0.0im        # identically zero → every cell crosses
         @test_throws ErrorException amr_scan(f, (-1.0, 1.0), (-1.0, 1.0);
-                                               nre0=4, nim0=4, passes=10,
-                                               max_cells=100)
+            nre0=4, nim0=4, passes=10,
+            max_cells=100)
     end
 
     @testset "find_growth_rates(AMR): single isolated root" begin
         Q_root = 0.42 + 0.27im
         f(Q) = ComplexF64(Q) - Q_root
         amr = amr_scan(f, (-1.0, 1.5), (-0.5, 1.0);
-                        nre0=8, nim0=6, passes=4)
+            nre0=8, nim0=6, passes=4)
         result = find_growth_rates(amr, 1.0)
         @test result isa GrowthRateResult
         @test abs(result.Q_root - Q_root) < 1e-3     # AMR-resolution limited
@@ -68,7 +68,7 @@
         Q2 = -0.4 + 0.1im
         f(Q) = (ComplexF64(Q) - Q1) * (ComplexF64(Q) - Q2)
         amr = amr_scan(f, (-1.0, 1.0), (-0.3, 0.8);
-                        nre0=10, nim0=8, passes=4)
+            nre0=10, nim0=8, passes=4)
         result = find_growth_rates(amr, 1.0)
         @test length(result.valid_roots) == 2
         @test abs(result.Q_root - Q1) < 1e-2
@@ -79,7 +79,7 @@
         Q_p = -0.5 + 0.6im
         f(Q) = (ComplexF64(Q) - Q_r) / (ComplexF64(Q) - Q_p)
         amr = amr_scan(f, (-1.5, 1.5), (-0.5, 1.5);
-                        nre0=10, nim0=8, passes=5)
+            nre0=10, nim0=8, passes=5)
         result = find_growth_rates(amr, 1.0; pole_threshold=10.0)
         @test length(result.poles) >= 1
         @test any(p -> abs(p - Q_p) < 0.05, result.poles)
@@ -90,7 +90,7 @@
         Q_root = 1.0 + 2.0im
         f(Q) = ComplexF64(Q) - Q_root
         amr = amr_scan(f, (-2.0, 3.0), (-1.0, 4.0);
-                        nre0=8, nim0=8, passes=4)
+            nre0=8, nim0=8, passes=4)
         tauk = 5e-5
         result = find_growth_rates(amr, tauk)
         @test result.omega_Hz ≈ real(result.Q_root) / tauk
@@ -119,13 +119,13 @@
         Q_root = 0.5 + 0.3im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-1.0, 1.0), (-0.5, 1.0);
-                                 nre=80, nim=60, threaded=false)
-        amr  = amr_scan(f, (-1.0, 1.0), (-0.5, 1.0);
-                         nre0=8, nim0=6, passes=4)
+            nre=80, nim=60, threaded=false)
+        amr = amr_scan(f, (-1.0, 1.0), (-0.5, 1.0);
+            nre0=8, nim0=6, passes=4)
         r_grid = find_growth_rates(scan, 1.0)
-        r_amr  = find_growth_rates(amr,  1.0)
+        r_amr = find_growth_rates(amr, 1.0)
         @test abs(r_grid.Q_root - Q_root) < 1e-3
-        @test abs(r_amr.Q_root  - Q_root) < 1e-3
+        @test abs(r_amr.Q_root - Q_root) < 1e-3
         @test abs(r_grid.Q_root - r_amr.Q_root) < 5e-3
     end
 
@@ -140,22 +140,22 @@
 
         Q_pin = 0.7 - 0.3im
         sc = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                               Q_pin; scale=1.0, tauk=1.0)
+            Q_pin; scale=1.0, tauk=1.0)
         amr = amr_scan(sc, (-0.5, 1.5), (-1.0, 0.5);
-                        nre0=8, nim0=6, passes=4)
+            nre0=8, nim0=6, passes=4)
         r = find_growth_rates(amr, sc.tauk)
         @test abs(r.Q_root - Q_pin) < 1e-2
 
         # Multi-surface coupled scan through AMR
         Q_a, Q_b = 0.7 - 0.3im, -0.4 + 0.5im
         sc1 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         dp = ComplexF64[Q_a 0.0; 0.0 Q_b]
         mc = multi_surface_coupling([sc1, sc2], dp)
         amr_c = amr_scan(mc, (-1.0, 1.5), (-1.0, 1.0);
-                          nre0=10, nim0=8, passes=4)
+            nre0=10, nim0=8, passes=4)
         r_c = find_growth_rates(amr_c, mc.surfaces[mc.ref_idx].tauk)
         @test abs(r_c.Q_root - Q_b) < 1e-2     # higher-γ root
     end
@@ -175,15 +175,15 @@
         # otherwise crosses the entire real axis).
         f(Q) = (ComplexF64(Q) - 0.0) / (ComplexF64(Q) - (-50.0)) + (1.0 + 1.0im)
         boxes = [((-75.0, -25.0), (-25.0, 25.0)),
-                 ((-25.0,  25.0), (-25.0, 25.0)),
-                 (( 25.0,  75.0), (-25.0, 25.0))]
+            ((-25.0, 25.0), (-25.0, 25.0)),
+            ((25.0, 75.0), (-25.0, 25.0))]
         result = multi_box_amr_scan(f, boxes;
-                                     pole_magnitude_threshold=10.0,
-                                     prescreen_nre=25, prescreen_nim=25,
-                                     nre0=25, nim0=25, passes=2,
-                                     max_cells=100_000,
-                                     max_cells_action=:warn_truncate,
-                                     parallel=false)
+            pole_magnitude_threshold=10.0,
+            prescreen_nre=25, prescreen_nim=25,
+            nre0=25, nim0=25, passes=2,
+            max_cells=100_000,
+            max_cells_action=:warn_truncate,
+            parallel=false)
         @test result isa MultiBoxAMRResult
         @test length(result.box_results) == 3
         @test length(result.box_activity) == 3
@@ -212,15 +212,15 @@
         # independent of sign-change tests.
         g(Q) = 1000.0 / (ComplexF64(Q) - (-50.0))^2 + (5.0 + 5.0im)
         boxes = [((-75.0, -25.0), (-25.0, 25.0)),
-                 ((-25.0,  25.0), (-25.0, 25.0)),
-                 (( 25.0,  75.0), (-25.0, 25.0))]
+            ((-25.0, 25.0), (-25.0, 25.0)),
+            ((25.0, 75.0), (-25.0, 25.0))]
         result = multi_box_amr_scan(g, boxes;
-                                     pole_magnitude_threshold=50.0,
-                                     prescreen_nre=25, prescreen_nim=25,
-                                     nre0=25, nim0=25, passes=1,
-                                     max_cells=100_000,
-                                     max_cells_action=:warn_truncate,
-                                     parallel=false)
+            pole_magnitude_threshold=50.0,
+            prescreen_nre=25, prescreen_nim=25,
+            nre0=25, nim0=25, passes=1,
+            max_cells=100_000,
+            max_cells_action=:warn_truncate,
+            parallel=false)
         @test result.box_activity[1] != NoActivity
         @test result.box_activity[2] == NoActivity
         @test result.box_activity[3] == NoActivity
diff --git a/test/runtests_dispersion_coupled.jl b/test/runtests_dispersion_coupled.jl
index 5a65539ff..d29745479 100644
--- a/test/runtests_dispersion_coupled.jl
+++ b/test/runtests_dispersion_coupled.jl
@@ -29,9 +29,9 @@
 
     @testset "Constructor validation" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               1.0+0im; scale=1.0, tauk=1.0)
+            1.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         good_dp = ComplexF64[1.0 0.1; 0.1 2.0]
 
         mc = multi_surface_coupling([sc1, sc2], good_dp)
@@ -41,7 +41,7 @@
 
         # 3-surface default also caps at 3 (min(3, 3) = 3)
         sc3 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         good_dp3 = ComplexF64[1.0 0.1 0.0; 0.1 2.0 0.0; 0.0 0.0 3.0]
         mc3 = multi_surface_coupling([sc1, sc2, sc3], good_dp3)
         @test mc3.msing_max == 3
@@ -49,16 +49,16 @@
         # 4-surface case caps at 3 (the design default — Δ' beyond 3 surfaces
         # tends to be erratic in practice)
         sc4 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               4.0+0im; scale=1.0, tauk=1.0)
+            4.0+0im; scale=1.0, tauk=1.0)
         good_dp4 = ComplexF64[1.0 0.0 0.0 0.0;
-                               0.0 2.0 0.0 0.0;
-                               0.0 0.0 3.0 0.0;
-                               0.0 0.0 0.0 4.0]
+            0.0 2.0 0.0 0.0;
+            0.0 0.0 3.0 0.0;
+            0.0 0.0 0.0 4.0]
         mc4 = multi_surface_coupling([sc1, sc2, sc3, sc4], good_dp4)
         @test mc4.msing_max == 3         # default capped at 3
         # Caller can opt in to all 4
         mc4_full = multi_surface_coupling([sc1, sc2, sc3, sc4], good_dp4;
-                                           msing_max=4)
+            msing_max=4)
         @test mc4_full.msing_max == 4
 
         # Mismatched dp size
@@ -69,15 +69,15 @@
 
         # Out-of-range ref_idx
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           ref_idx=3)
+            ref_idx=3)
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           ref_idx=0)
+            ref_idx=0)
 
         # Out-of-range msing_max
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           msing_max=3)
+            msing_max=3)
         @test_throws ArgumentError multi_surface_coupling([sc1, sc2], good_dp;
-                                                           msing_max=0)
+            msing_max=0)
     end
 
     @testset "Diagonal Δ' factorizes (det = ∏ per-surface residuals)" begin
@@ -85,14 +85,14 @@
         # the coupled determinant should reduce exactly to the product of
         # per-surface residuals.
         sc1 = surface_coupling(LinTestModel(1.0+0im, 1.0+0im), nothing,
-                               5.0+0im; scale=1.0, tauk=1.0)
+            5.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(2.0+0im, 1.0+0im), nothing,
-                               7.0+0im; scale=1.0, tauk=1.0)
+            7.0+0im; scale=1.0, tauk=1.0)
         sc3 = surface_coupling(LinTestModel(0.5+0im, 0.5+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[5.0 0.0 0.0;
-                         0.0 7.0 0.0;
-                         0.0 0.0 3.0]
+            0.0 7.0 0.0;
+            0.0 0.0 3.0]
         mc = multi_surface_coupling([sc1, sc2, sc3], dp)
         for Q in (0.5+0im, 2.0+0.3im, -1.0-0.5im, 4.5+1.0im)
             @test mc(Q) ≈ sc1(Q) * sc2(Q) * sc3(Q) rtol = 1e-12
@@ -105,9 +105,9 @@
         # single-surface roots.
         Q1, Q2 = 0.5+0.0im, 2.0+0.0im
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               Q1; scale=1.0, tauk=1.0)
+            Q1; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               Q2; scale=1.0, tauk=1.0)
+            Q2; scale=1.0, tauk=1.0)
         dp = ComplexF64[real(Q1) 0.0; 0.0 real(Q2)]
         mc = multi_surface_coupling([sc1, sc2], dp)
         @test abs(mc(Q1)) < 1e-12
@@ -117,9 +117,9 @@
 
     @testset "Off-diagonal coupling shifts the roots away from the diagonal" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.5+0im; scale=1.0, tauk=1.0)
+            0.5+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         # Coupling-free baseline
         dp_diag = ComplexF64[0.5 0.0; 0.0 2.0]
         mc_diag = multi_surface_coupling([sc1, sc2], dp_diag)
@@ -138,14 +138,14 @@
 
     @testset "msing_max truncation uses upper-left submatrix" begin
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               1.0+0im; scale=1.0, tauk=1.0)
+            1.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               2.0+0im; scale=1.0, tauk=1.0)
+            2.0+0im; scale=1.0, tauk=1.0)
         sc3 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               3.0+0im; scale=1.0, tauk=1.0)
+            3.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[1.0 0.0 0.0;
-                         0.0 2.0 0.0;
-                         0.0 0.0 3.0]
+            0.0 2.0 0.0;
+            0.0 0.0 3.0]
 
         # msing_max = 1 reduces to sc1(Q) alone
         mc1 = multi_surface_coupling([sc1, sc2, sc3], dp; msing_max=1)
@@ -173,9 +173,9 @@
         #   M[k,k] = dp_diag_k - scale·Q·(tauk_ref/tauk_k)
         # Verify against an explicit closed form with mismatched tauks.
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=2.0)   # ref tauk
+            0.0+0im; scale=1.0, tauk=2.0)   # ref tauk
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=4.0)   # half rate
+            0.0+0im; scale=1.0, tauk=4.0)   # half rate
         dp = ComplexF64[0.0 0.0; 0.0 0.0]
         mc = multi_surface_coupling([sc1, sc2], dp; ref_idx=1)
         for Q in (1.0+0im, 0.5+0.3im)
@@ -219,8 +219,8 @@
         # Pick M[1,1] arbitrarily, solve for M[2,2]:
         M11 = 0.7 + 0.0im
         M22 = (c12 * c21) / M11
-        dp = ComplexF64[M11+Δ1  c12;
-                         c21    M22+Δ2]
+        dp = ComplexF64[M11+Δ1 c12;
+            c21 M22+Δ2]
 
         mc = multi_surface_coupling([sc1, sc2], dp)
         # The constructed M(Q_pin) is exactly singular by construction
@@ -244,9 +244,9 @@
     @testset "Broadcast over a 2D Q grid" begin
         # Coupled residual must be broadcast-compatible for PR 5/6 scans.
         sc1 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=1.0)
+            0.0+0im; scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinTestModel(0.0im, 1.0+0im), nothing,
-                               0.0+0im; scale=1.0, tauk=1.0)
+            0.0+0im; scale=1.0, tauk=1.0)
         dp = ComplexF64[0.0 0.0; 0.0 0.0]
         mc = multi_surface_coupling([sc1, sc2], dp)
 
diff --git a/test/runtests_dispersion_coupled_full.jl b/test/runtests_dispersion_coupled_full.jl
index d471650f8..65eec71c8 100644
--- a/test/runtests_dispersion_coupled_full.jl
+++ b/test/runtests_dispersion_coupled_full.jl
@@ -255,7 +255,7 @@
             0.2 0.1 0.05 0.1 0.3 -6.5]
         # Non-trivial Q dependence: Δ_t(Q) = a + 0.5·Q, Δ_i(Q) = b + 0.2·Q
         scs = [surface_coupling(_LinearInnerF(0.3 + 0.01k * im, 0.5 + 0im,
-                0.7 + 0.02k * im, 0.2 + 0im),
+            0.7 + 0.02k * im, 0.2 + 0im),
             nothing, 0 + 0im; scale=1.0, tauk=1.0)
                for k in 1:m]
         mc = multi_surface_coupling_full(scs, Random_dp)
diff --git a/test/runtests_dispersion_polish.jl b/test/runtests_dispersion_polish.jl
index 8bc4c9702..8e7ae2e7b 100644
--- a/test/runtests_dispersion_polish.jl
+++ b/test/runtests_dispersion_polish.jl
@@ -106,7 +106,7 @@
         r1 = 0.30 + 0.20im
         r2 = r1 + 0.002                          # second root 0.002 away
         f(Q) = (ComplexF64(Q) - r1) * (ComplexF64(Q) - r2)
-        pts = ComplexF64[r1 + 0.0003, r2 - 0.0003]   # coarse contour estimates
+        pts = ComplexF64[r1+0.0003, r2-0.0003]   # coarse contour estimates
         R1 = D._polish_trust_radius(pts, 1, 0.001)
         R2 = D._polish_trust_radius(pts, 2, 0.001)
         p1 = D._polish_root(f, pts[1], R1)[1]
@@ -124,7 +124,7 @@
         im_paths = [ComplexF64[0+0im, 0+0.1im]]            # segment length 0.1
         @test D._median_segment_length(re_paths, im_paths) ≈ 0.1   # median of [0.1,0.2,0.1]
         @test D._median_segment_length(Vector{Vector{ComplexF64}}(),
-                                       Vector{Vector{ComplexF64}}()) == 0.0
+            Vector{Vector{ComplexF64}}()) == 0.0
     end
 
     # ----------------------------------------------------------------
diff --git a/test/runtests_dispersion_residual.jl b/test/runtests_dispersion_residual.jl
index d0235a0da..40cdbfd5d 100644
--- a/test/runtests_dispersion_residual.jl
+++ b/test/runtests_dispersion_residual.jl
@@ -30,35 +30,35 @@
     @testset "Constructor scale defaults" begin
         # SLAYER: scale = lu^(1/3) so the dimensionless Δ from riccati_f
         # is mapped to outer ψ-units (Fortran SLAYER growthrates routine)
-        p_sl  = _slayer_ref()
+        p_sl = _slayer_ref()
         sc_sl = surface_coupling(SLAYERModel(), p_sl, -1.0 + 0.0im)
         @test sc_sl.scale ≈ p_sl.lu^(1/3)
         @test sc_sl.dc == 0.0
         @test sc_sl.dp_diag == ComplexF64(-1.0)
 
         # GGJ: scale = 1 because rescale_delta is applied inside solve_inner
-        p_ggj  = glasser_wang_2020_eq55()
+        p_ggj = glasser_wang_2020_eq55()
         sc_ggj = surface_coupling(GGJModel(solver=:shooting), p_ggj,
-                                   -1.0 + 0.0im)
+            -1.0 + 0.0im)
         @test sc_ggj.scale == 1.0
 
         # Generic fallback honors explicit scale + dc kwargs
         sc_lin = surface_coupling(LinearTestModel(0.0im, 1.0+0im), nothing,
-                                   3.0 + 0.0im; dc=0.5, scale=2.0)
+            3.0 + 0.0im; dc=0.5, scale=2.0)
         @test sc_lin.scale == 2.0
         @test sc_lin.dc == 0.5
     end
 
     @testset "Residual arithmetic on synthetic linear model" begin
         # r(Q) = dp_diag - scale·(a + b·Q) - dc
-        a, b   = 1.0 + 2.0im, -0.5 + 1.0im
-        scale  = 3.0
-        dc     = 0.25
+        a, b = 1.0 + 2.0im, -0.5 + 1.0im
+        scale = 3.0
+        dc = 0.25
         Q_root = -0.7 + 0.3im
         dp_diag = (a + b * Q_root) * scale + dc       # construct a known root
 
         sc = surface_coupling(LinearTestModel(a, b), nothing, dp_diag;
-                              dc=dc, scale=scale)
+            dc=dc, scale=scale)
         @test sc(Q_root) ≈ 0 atol = 1e-12
 
         # Off-root residual matches the closed form
@@ -89,14 +89,14 @@
         # Both inner-layer models flow through the same SurfaceCoupling
         # API. Numerical agreement is *not* asserted (different physics) —
         # only that both pipelines construct and evaluate.
-        p_sl  = _slayer_ref()
+        p_sl = _slayer_ref()
         sc_sl = surface_coupling(SLAYERModel(), p_sl, -100.0 + 0.0im)
         @test sc_sl isa SurfaceCoupling{SLAYERModel{:fitzpatrick},SLAYERParameters}
         @test sc_sl(0.0 + 0.5im) isa ComplexF64
 
-        p_ggj  = glasser_wang_2020_eq55()
+        p_ggj = glasser_wang_2020_eq55()
         sc_ggj = surface_coupling(GGJModel(solver=:shooting), p_ggj,
-                                   -1.0 + 0.0im)
+            -1.0 + 0.0im)
         @test sc_ggj isa SurfaceCoupling{GGJModel{:shooting},GGJParameters}
         @test sc_ggj(1e-3 + 0.0im) isa ComplexF64
     end
@@ -106,7 +106,7 @@
         # complex-Q grid; verify that broadcasting works element-wise.
         a, b = 0.0+0im, 1.0+0im
         sc = surface_coupling(LinearTestModel(a, b), nothing, 2.0+0im;
-                              dc=0.0, scale=1.0)
+            dc=0.0, scale=1.0)
         Q_grid = [(qr + qi*im) for qr in -1.0:0.5:1.0, qi in -1.0:0.5:1.0]
         Δ_grid = sc.(Q_grid)
         @test size(Δ_grid) == size(Q_grid)
diff --git a/test/runtests_dispersion_scan.jl b/test/runtests_dispersion_scan.jl
index f50b449fc..00145ad63 100644
--- a/test/runtests_dispersion_scan.jl
+++ b/test/runtests_dispersion_scan.jl
@@ -7,16 +7,16 @@
     @testset "brute_force_scan: regular grid evaluation" begin
         f(Q) = ComplexF64(Q)^2 - 1
         scan = brute_force_scan(f, (-2.0, 2.0), (-1.0, 1.0);
-                                nre=21, nim=11, threaded=false)
+            nre=21, nim=11, threaded=false)
         @test scan isa ScanResult
         @test size(scan.Q) == (21, 11)
         @test size(scan.Δ) == (21, 11)
         @test length(scan.re_axis) == 21
         @test length(scan.im_axis) == 11
-        @test scan.re_axis[1]   == -2.0
-        @test scan.re_axis[end] ==  2.0
-        @test scan.im_axis[1]   == -1.0
-        @test scan.im_axis[end] ==  1.0
+        @test scan.re_axis[1] == -2.0
+        @test scan.re_axis[end] == 2.0
+        @test scan.im_axis[1] == -1.0
+        @test scan.im_axis[end] == 1.0
         # Spot-check a grid value
         i, j = 11, 6
         @test scan.Q[i, j] ≈ scan.re_axis[i] + scan.im_axis[j]*im
@@ -26,17 +26,17 @@
     @testset "brute_force_scan: threaded vs non-threaded agree" begin
         f(Q) = sin(ComplexF64(Q))
         s_t = brute_force_scan(f, (-1.0, 1.0), (-0.5, 0.5);
-                               nre=15, nim=10, threaded=true)
+            nre=15, nim=10, threaded=true)
         s_n = brute_force_scan(f, (-1.0, 1.0), (-0.5, 0.5);
-                               nre=15, nim=10, threaded=false)
+            nre=15, nim=10, threaded=false)
         @test s_t.Δ == s_n.Δ
     end
 
     @testset "brute_force_scan: argument validation" begin
         @test_throws ArgumentError brute_force_scan(identity, (0.0, 1.0),
-                                                     (0.0, 1.0); nre=1, nim=10)
+            (0.0, 1.0); nre=1, nim=10)
         @test_throws ArgumentError brute_force_scan(identity, (0.0, 1.0),
-                                                     (0.0, 1.0); nre=10, nim=1)
+            (0.0, 1.0); nre=10, nim=1)
     end
 
     @testset "find_growth_rates: single isolated root" begin
@@ -44,7 +44,7 @@
         Q_root = 0.42 + 0.27im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-1.0, 1.5), (-0.5, 1.0);
-                                 nre=80, nim=60, threaded=false)
+            nre=80, nim=60, threaded=false)
         result = find_growth_rates(scan, 1.0)
         @test result isa GrowthRateResult
         @test isempty(result.poles)
@@ -60,7 +60,7 @@
         Q2 = -0.4 + 0.1im      # lower γ
         f(Q) = (ComplexF64(Q) - Q1) * (ComplexF64(Q) - Q2)
         scan = brute_force_scan(f, (-1.0, 1.0), (-0.3, 0.8);
-                                 nre=100, nim=80, threaded=false)
+            nre=100, nim=80, threaded=false)
         result = find_growth_rates(scan, 1.0)
         @test length(result.valid_roots) == 2
         @test abs(result.Q_root - Q1) < 1e-3        # higher-γ root chosen
@@ -73,7 +73,7 @@
         Q_p = -0.5 + 0.6im     # pole at higher γ
         f(Q) = (ComplexF64(Q) - Q_r) / (ComplexF64(Q) - Q_p)
         scan = brute_force_scan(f, (-1.5, 1.5), (-0.5, 1.5);
-                                 nre=120, nim=100, threaded=false)
+            nre=120, nim=100, threaded=false)
         result = find_growth_rates(scan, 1.0; pole_threshold=10.0)
         # Pole correctly classified — but the root is at lower γ than the
         # pole, so even with filter_above_poles=true the root must survive.
@@ -86,14 +86,14 @@
         Q_root = 1.0 + 2.0im
         f(Q) = ComplexF64(Q) - Q_root
         scan = brute_force_scan(f, (-2.0, 3.0), (-1.0, 4.0);
-                                 nre=80, nim=80, threaded=false)
+            nre=80, nim=80, threaded=false)
         tauk = 5.0e-5
         result = find_growth_rates(scan, tauk)
         @test result.omega_Hz ≈ real(result.Q_root) / tauk
         @test result.gamma_Hz ≈ imag(result.Q_root) / tauk
         # Check sensible orders of magnitude (Q_root ≈ 1+2im, tauk ≈ 5e-5)
-        @test result.omega_Hz ≈ 1 / tauk      atol = 1 / tauk * 5e-3
-        @test result.gamma_Hz ≈ 2 / tauk      atol = 2 / tauk * 5e-3
+        @test result.omega_Hz ≈ 1 / tauk atol = 1 / tauk * 5e-3
+        @test result.gamma_Hz ≈ 2 / tauk atol = 2 / tauk * 5e-3
     end
 
     @testset "find_growth_rates: empty result when no contour intersections" begin
@@ -102,7 +102,7 @@
         f(Q) = 1.0 + ComplexF64(Q)
         # Choose a box where Δ has no zeros — far above the real axis
         scan = brute_force_scan(f, (1.0, 2.0), (1.0, 2.0);
-                                 nre=30, nim=30, threaded=false)
+            nre=30, nim=30, threaded=false)
         result = find_growth_rates(scan, 1.0)
         # Either no valid roots, or a NaN Q_root
         @test isempty(result.valid_roots) || isnan(real(result.Q_root))
@@ -122,9 +122,9 @@
         # Single-surface scan via SurfaceCoupling (Q_root by construction = 0.7-0.3im)
         Q_pin = 0.7 - 0.3im
         sc = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                              Q_pin; scale=1.0, tauk=1.0)
+            Q_pin; scale=1.0, tauk=1.0)
         scan = brute_force_scan(sc, (-0.5, 1.5), (-1.0, 0.5);
-                                 nre=80, nim=80, threaded=false)
+            nre=80, nim=80, threaded=false)
         res = find_growth_rates(scan, sc.tauk)
         @test abs(res.Q_root - Q_pin) < 1e-3
 
@@ -136,13 +136,13 @@
         # full complex value, not just its real part).
         Q_a, Q_b = 0.7 - 0.3im, -0.4 + 0.5im
         sc1 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         sc2 = surface_coupling(LinModel(0.0im, 1.0+0im), nothing,
-                                ComplexF64(0); scale=1.0, tauk=1.0)
+            ComplexF64(0); scale=1.0, tauk=1.0)
         dp = ComplexF64[Q_a 0.0; 0.0 Q_b]               # diagonal Δ'
         mc = multi_surface_coupling([sc1, sc2], dp)
         scan_c = brute_force_scan(mc, (-1.0, 1.5), (-1.0, 1.0);
-                                   nre=120, nim=100, threaded=false)
+            nre=120, nim=100, threaded=false)
         res_c = find_growth_rates(scan_c, mc.surfaces[mc.ref_idx].tauk)
         # With diagonal Δ', det = (Q_a - Q)·(Q_b - Q) → roots at Q_a, Q_b.
         # The higher-γ root is Q_b (γ = 0.5).
diff --git a/test/runtests_equil.jl b/test/runtests_equil.jl
index af3cd5743..782ae6120 100644
--- a/test/runtests_equil.jl
+++ b/test/runtests_equil.jl
@@ -143,7 +143,7 @@
     @testset "EFIT Method Consistency" begin
         # All three methods solve the same equilibrium — q-profiles should broadly agree.
         # Tolerance is 10% to allow for method-specific discretisation differences.
-        q_efit      = plasma_eq_efit.profiles.q_spline.y
+        q_efit = plasma_eq_efit.profiles.q_spline.y
         q_arclength = plasma_eq_arclength.profiles.q_spline.y
         q_inversion = plasma_eq_inversion.profiles.q_spline.y
 
@@ -242,7 +242,7 @@
         b0exp = 7.4  # CHEASE normalization field [T]
 
         B_nodes_binary = plasma_eq_binary.eqfun_B.nodal_derivs.partials[1, :, :]
-        B_nodes_ascii  = plasma_eq_ascii.eqfun_B.nodal_derivs.partials[1, :, :]
+        B_nodes_ascii = plasma_eq_ascii.eqfun_B.nodal_derivs.partials[1, :, :]
 
         # B field must be finite and positive everywhere
         @test all(isfinite, B_nodes_binary)
@@ -258,7 +258,7 @@
 
         # q must be finite, positive, and in a physically reasonable range
         q_binary = plasma_eq_binary.profiles.q_spline.y
-        q_ascii  = plasma_eq_ascii.profiles.q_spline.y
+        q_ascii = plasma_eq_ascii.profiles.q_spline.y
         @test all(isfinite, q_binary)
         @test all(isfinite, q_ascii)
         @test all(>(0), q_binary)
@@ -436,7 +436,7 @@
         Eq = GeneralizedPerturbedEquilibrium.Equilibrium
 
         function build_solovev_equilibrium(; e=1.6, a=0.33, r0=1.0, q0=1.9,
-                mpsi=64, mtheta=128)
+            mpsi=64, mtheta=128)
             eq_config = Eq.EquilibriumConfig(;
                 eq_type="sol", eq_filename="unused",
                 jac_type="pest", grid_type="ldp",
@@ -515,24 +515,24 @@
             @test pe.params.zsep[1] > pe.params.zsep[2]
 
             # Shape parameters — all physically positive quantities.
-            @test pe.params.amean  > 0
-            @test pe.params.rmean  > 0
+            @test pe.params.amean > 0
+            @test pe.params.rmean > 0
             @test pe.params.aratio > 0
-            @test pe.params.kappa  > 0
-            @test pe.params.kappa  ≈ 1.6 rtol=0.02
+            @test pe.params.kappa > 0
+            @test pe.params.kappa ≈ 1.6 rtol=0.02
 
             # For Solovev (e=1.6, a=0.33, r0=1.0) the shape is approximately
             # recovered (Shafranov shift loosens the match).
             @test pe.params.amean ≈ 0.33 rtol=0.15
-            @test pe.params.rmean ≈ 1.0  rtol=0.15
+            @test pe.params.rmean ≈ 1.0 rtol=0.15
 
             # Consistency with separatrix formulae.
             @test pe.params.rmean ≈ (pe.params.rsep[1] + pe.params.rsep[2]) / 2
             @test pe.params.amean ≈ (pe.params.rsep[1] - pe.params.rsep[2]) / 2
 
             # Beta and field quantities — all physically positive.
-            @test pe.params.bt0   > 0
-            @test pe.params.crnt  > 0
+            @test pe.params.bt0 > 0
+            @test pe.params.crnt > 0
             @test pe.params.bwall > 0
             @test pe.params.betat > 0
             @test pe.params.betan > 0
diff --git a/test/runtests_eulerlagrange.jl b/test/runtests_eulerlagrange.jl
index 6547352e6..6794ec296 100644
--- a/test/runtests_eulerlagrange.jl
+++ b/test/runtests_eulerlagrange.jl
@@ -494,7 +494,7 @@ end
         # materialize after the Gaussian fixups and free-boundary normalization rather than
         # transforming stored derivatives alongside u_store.
         npert = intr.numpert_total
-        T = Matrix{ComplexF64}(I, npert, npert) .+ 0.25 .* ComplexF64.(reshape(sin.(1:npert^2), npert, npert))
+        T = Matrix{ComplexF64}(I, npert, npert) .+ 0.25 .* ComplexF64.(reshape(sin.(1:(npert^2)), npert, npert))
         odet_t = deepcopy(odet_pristine)
         for istep in 1:odet_t.step
             odet_t.u_store[:, :, 1, istep] = odet_t.u_store[:, :, 1, istep] * T
diff --git a/test/runtests_imas.jl b/test/runtests_imas.jl
index 2d82d5b0e..f261cc45a 100644
--- a/test/runtests_imas.jl
+++ b/test/runtests_imas.jl
@@ -20,31 +20,31 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         # COCOS 11: ψ_IMAS = 2π × ψ_internal
         psi_axis_int = 0.0
-        psi_bnd_int  = 1.5   # Wb/rad
+        psi_bnd_int = 1.5   # Wb/rad
         cf = cocos == 11 ? 2π : 1.0
 
-        eqt.global_quantities.psi_axis     = psi_axis_int * cf
-        eqt.global_quantities.psi_boundary = psi_bnd_int  * cf
+        eqt.global_quantities.psi_axis = psi_axis_int * cf
+        eqt.global_quantities.psi_boundary = psi_bnd_int * cf
 
         nw = 64
         psi_1d = collect(LinRange(psi_axis_int, psi_bnd_int, nw))
-        eqt.profiles_1d.psi      = psi_1d .* cf
-        eqt.profiles_1d.f        = fill(5.0, nw)
+        eqt.profiles_1d.psi = psi_1d .* cf
+        eqt.profiles_1d.f = fill(5.0, nw)
         eqt.profiles_1d.pressure = collect(LinRange(1e4, 0.0, nw))
-        eqt.profiles_1d.q        = collect(LinRange(1.0, 3.0, nw))
+        eqt.profiles_1d.q = collect(LinRange(1.0, 3.0, nw))
 
         # Minimal 2D ψ(R,Z) — rough circular flux surfaces
         nR, nZ = 32, 40
         R_grid = collect(LinRange(1.0, 2.5, nR))
         Z_grid = collect(LinRange(-0.8, 0.8, nZ))
-        Rmag   = 1.75
+        Rmag = 1.75
         psi_rz = [min((R - Rmag)^2 / 0.6 + Z^2 / 0.7, psi_bnd_int * 1.4) for R in R_grid, Z in Z_grid]
 
         resize!(eqt.profiles_2d, 1; wipe=true)
-        prof2d              = eqt.profiles_2d[1]
-        prof2d.grid.dim1    = R_grid
-        prof2d.grid.dim2    = Z_grid
-        prof2d.psi          = psi_rz .* cf
+        prof2d = eqt.profiles_2d[1]
+        prof2d.grid.dim1 = R_grid
+        prof2d.grid.dim2 = Z_grid
+        prof2d.psi = psi_rz .* cf
 
         return dd, psi_bnd_int
     end
@@ -58,8 +58,8 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         # psio should equal |psi_boundary - psi_axis| in internal (COCOS 2) units
         @test isapprox(result.psio, psi_bnd_int; rtol=1e-6)
-        @test result.rmin ≈ 1.0  atol=1e-9
-        @test result.rmax ≈ 2.5  atol=1e-9
+        @test result.rmin ≈ 1.0 atol=1e-9
+        @test result.rmax ≈ 2.5 atol=1e-9
     end
 
     # Test 2: read_imas — COCOS 2 input requires no conversion
@@ -121,7 +121,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
 
         GeneralizedPerturbedEquilibrium.write_imas(dd, mock_result)
 
-        @test dd.mhd_linear.code.name  == "GPEC"
+        @test dd.mhd_linear.code.name == "GPEC"
         @test dd.mhd_linear.ideal_flag == 1
         @test length(dd.mhd_linear.time_slice) == 1
 
@@ -142,7 +142,7 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
         # et sorted ascending (least stable globally first).
         # n=1 (j=0) has eigenvalues: real=0.3 (idx 1) and real=0.6 (idx 3)
         # n=2 (j=1) has eigenvalues: real=0.5 (idx 2) and real=0.7 (idx 4)
-        mock_et    = [0.3+0im, 0.5+0im, 0.6+0im, 0.7+0im]
+        mock_et = [0.3+0im, 0.5+0im, 0.6+0im, 0.7+0im]
         mock_n_idx = [0, 1, 0, 1]
         mock_result = (
             ffs = (integrator=:forward, free_boundary=(et=mock_et, n_tor_idx=mock_n_idx),
@@ -190,9 +190,9 @@ using GeneralizedPerturbedEquilibrium.Equilibrium
         )
         GeneralizedPerturbedEquilibrium.write_imas(dd_multi, result_multi)
 
-        ts_single  = dd_single.mhd_linear.time_slice[1]
+        ts_single = dd_single.mhd_linear.time_slice[1]
         ts_single2 = dd_single2.mhd_linear.time_slice[1]
-        ts_multi   = dd_multi.mhd_linear.time_slice[1]
+        ts_multi = dd_multi.mhd_linear.time_slice[1]
 
         # n=1 energy from combined run must match the standalone n=1 run
         @test ts_multi.toroidal_mode[1].energy_perturbed == ts_single.toroidal_mode[1].energy_perturbed
diff --git a/test/runtests_kinetic.jl b/test/runtests_kinetic.jl
index 29955c2c7..7f1ac8fcf 100644
--- a/test/runtests_kinetic.jl
+++ b/test/runtests_kinetic.jl
@@ -26,7 +26,7 @@
         @testset "endpoint modes" begin
             pts_lower, _ = KF.powspace(0.0, 1.0, 2, 50, "lower")
             pts_upper, _ = KF.powspace(0.0, 1.0, 2, 50, "upper")
-            pts_both, _  = KF.powspace(0.0, 1.0, 2, 50, "both")
+            pts_both, _ = KF.powspace(0.0, 1.0, 2, 50, "both")
 
             # All modes should span the full range
             for pts in [pts_lower, pts_upper, pts_both]
@@ -194,11 +194,11 @@
             # independent reference for the u-substitution + pole-extraction result.
             wn, wt, we, wd, wb, nuk, leff, n = 0.5, 0.8, -2.0, 0.5, 1.0, 0.3, 1.0, 1
             p = KF.EnergyParams(wn, wt, we, wd, wb, nuk, leff, n,
-                                "harmonic", "maxwellian", 1.0, 0.0, false)
+                "harmonic", "maxwellian", 1.0, 0.0, false)
             x_res = KF.find_resonance_energies(leff, wb, n, we, wd)
             @test length(x_res) == 1   # this case has exactly one resonance
             reference, _ = KF.quadgk(x -> KF.energy_integrand_scalar(x, p),
-                                     0.0, x_res[1], Inf; rtol=1e-12, atol=1e-14)
+                0.0, x_res[1], Inf; rtol=1e-12, atol=1e-14)
             result = KF.integrate_energy(
                 wn, wt, we, wd, wb, nuk, 0, leff, n, 0.5, 0.5, "fgar";
                 nutype="harmonic", f0type="maxwellian", atol=1e-12, rtol=1e-10
@@ -317,7 +317,7 @@
         @test all(isfinite, vals)
         # Element-wise match against the scalar form documented in the docstring.
         p = KF.EnergyParams(0.5, 0.8, -2.0, 0.5, 1.0, 0.3, 1.0, 1,
-                            "harmonic", "maxwellian", 1.0, 0.0, false)
+            "harmonic", "maxwellian", 1.0, 0.0, false)
         @test vals ≈ [KF.energy_integrand_scalar(x, p) for x in x_grid]
     end
 
diff --git a/test/runtests_parallel_integration.jl b/test/runtests_parallel_integration.jl
index 7e7737e06..616cc28d6 100644
--- a/test/runtests_parallel_integration.jl
+++ b/test/runtests_parallel_integration.jl
@@ -114,9 +114,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -201,9 +204,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -262,11 +268,14 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -311,7 +320,10 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             # Apply the two-pass auto grid exactly as the main driver does (the example ships
             # grid_type="auto", mpsi=0): measured-curvature refinement with rational surfaces
             # pinned as mandatory knots, re-formed from the captured ingest. The pinned values
@@ -324,8 +336,8 @@ using TOML
             end
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -372,9 +384,12 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -423,11 +438,14 @@ using TOML
             ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
                 (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
             eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], example_dir)
-            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+            equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+                eq_config,
+                haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+            )
             intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
                 (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-            intr.nlow = ctrl.nn_low;
-            intr.nhigh = ctrl.nn_high;
+            intr.nlow = ctrl.nn_low
+            intr.nhigh = ctrl.nn_high
             intr.npert = 1
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
             GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
@@ -476,7 +494,10 @@ using TOML
         ctrl = GeneralizedPerturbedEquilibrium.ForceFreeStates.ForceFreeStatesControl(;
             (Symbol(k) => v for (k, v) in inputs["ForceFreeStates"])...)
         eq_config = GeneralizedPerturbedEquilibrium.Equilibrium.EquilibriumConfig(inputs["Equilibrium"], ex)
-        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(eq_config, haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing)
+        equil = GeneralizedPerturbedEquilibrium.Equilibrium.setup_equilibrium(
+            eq_config,
+            haskey(inputs, "SOL_INPUT") ? GeneralizedPerturbedEquilibrium.Equilibrium.SolovevConfig(inputs["SOL_INPUT"]) : nothing
+        )
         # Apply the two-pass auto grid (measured-curvature refinement, rational surfaces pinned
         # as mandatory knots) exactly as the main driver does (see the FM testset above); the
         # pinned values below are for this grid, the production default.
@@ -488,8 +509,8 @@ using TOML
         end
         intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
             (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-        intr.nlow = ctrl.nn_low;
-        intr.nhigh = ctrl.nn_high;
+        intr.nlow = ctrl.nn_low
+        intr.nhigh = ctrl.nn_high
         intr.npert = 1
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_lim!(intr, ctrl, equil)
         GeneralizedPerturbedEquilibrium.ForceFreeStates.sing_find!(intr, equil)
diff --git a/test/runtests_rerun_from_h5.jl b/test/runtests_rerun_from_h5.jl
index dc242426f..db10e3c9d 100644
--- a/test/runtests_rerun_from_h5.jl
+++ b/test/runtests_rerun_from_h5.jl
@@ -102,7 +102,11 @@ end
                 inputs, = GeneralizedPerturbedEquilibrium.build_inputs_from_h5([source_h5, "--output-dir", out_dir, "--override", "ForceFreeStates.use_parallel=true"])
                 @test inputs["ForceFreeStates"]["use_parallel"] == true
 
-                @test_logs (:warn,) GeneralizedPerturbedEquilibrium._drop_deprecated_keys!(inputs["ForceFreeStates"], GeneralizedPerturbedEquilibrium._DEPRECATED_FFS_KEYS, "ForceFreeStates")
+                @test_logs (:warn,) GeneralizedPerturbedEquilibrium._drop_deprecated_keys!(
+                    inputs["ForceFreeStates"],
+                    GeneralizedPerturbedEquilibrium._DEPRECATED_FFS_KEYS,
+                    "ForceFreeStates"
+                )
                 @test !haskey(inputs["ForceFreeStates"], "use_parallel")
 
                 # With the key gone the control struct builds again, on the default integrator.
diff --git a/test/runtests_riccati.jl b/test/runtests_riccati.jl
index afd084056..69edfb972 100644
--- a/test/runtests_riccati.jl
+++ b/test/runtests_riccati.jl
@@ -9,8 +9,8 @@ function make_solovev_intr(inputs, ctrl, equil, ex)
     intr = FFS.ForceFreeStatesInternal(; dir_path=ex)
     intr.wall_settings = GeneralizedPerturbedEquilibrium.Vacuum.WallShapeSettings(;
         (Symbol(k) => v for (k, v) in inputs["Wall"])...)
-    intr.nlow = ctrl.nn_low;
-    intr.nhigh = ctrl.nn_high;
+    intr.nlow = ctrl.nn_low
+    intr.nhigh = ctrl.nn_high
     intr.npert = 1
     FFS.sing_lim!(intr, ctrl, equil)
     FFS.sing_find!(intr, equil)
diff --git a/test/runtests_sing.jl b/test/runtests_sing.jl
index 83b85a765..18ce06c59 100644
--- a/test/runtests_sing.jl
+++ b/test/runtests_sing.jl
@@ -41,14 +41,14 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
 
     function read_solutions_3d(fname::String)
         lines = readlines(fname)
-        blocks = Vector{Vector{Vector{Float64}}}();
+        blocks = Vector{Vector{Vector{Float64}}}()
         current = Vector{Vector{Float64}}()
         for s in lines
-            t = strip(s);
+            t = strip(s)
             isempty(t) && continue
             if occursin("Solution index", t)
                 if !isempty(current)
-                    push!(blocks, current);
+                    push!(blocks, current)
                     current = Vector{Vector{Float64}}()
                 end
                 continue
@@ -62,11 +62,11 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         if !isempty(current)
             push!(blocks, current)
         end
-        mpert = length(blocks[1]);
+        mpert = length(blocks[1])
         nsol = length(blocks)
         result = Array{ComplexF64}(undef, mpert, nsol, 2)
         for (j, block) in enumerate(blocks), (i, row) in enumerate(block)
-            result[i, j, 1] = complex(row[2], row[3]);
+            result[i, j, 1] = complex(row[2], row[3])
             result[i, j, 2] = complex(row[4], row[5])
         end
         return result
@@ -105,7 +105,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         odet = GeneralizedPerturbedEquilibrium.ForceFreeStates.OdeState(; numpert_total=intr.numpert_total,
             numsteps_init=ctrl.numsteps_init, numunorms_init=ctrl.numunorms_init, msing=intr.msing)
 
-        psifac_dummy = collect(range(0, 1, 10));
+        psifac_dummy = collect(range(0, 1, 10))
         points = length(psifac_dummy)
         amat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/amat.dat"))
         amats = copyForSplines(amat, psifac_dummy)
@@ -115,7 +115,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         cmats = copyForSplines(cmat, psifac_dummy)
 
         fmat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/fmat.dat"))
-        fmat .= cholesky(Hermitian(fmat)).L;
+        fmat .= cholesky(Hermitian(fmat)).L
         fmats = copyForSplines(fmat, psifac_dummy)
         kmat = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/kmat.dat"))
         kmats = copyForSplines(kmat, psifac_dummy)
@@ -125,7 +125,7 @@ using FastInterpolations: cubic_interp, CubicFit, LinearBinarySearch, Series, Ex
         umat_p1 = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/umat_p1.dat"))
         umat_p2 = read_complex_fortran(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/umat_p2.dat"))
         odet.psifac = extract_value(joinpath(@__DIR__, "test_data/sing_der_testing/mat_dat/sing_der_output_normal.dat"), "psifac")
-        odet.u[:, :, 1] .= umat_p1;
+        odet.u[:, :, 1] .= umat_p1
         odet.u[:, :, 2] .= umat_p2
 
         ffit = GeneralizedPerturbedEquilibrium.ForceFreeStates.FourFitVars(; mpert=intr.numpert_total, numpert_total=intr.numpert_total)
diff --git a/test/runtests_tj_analytic.jl b/test/runtests_tj_analytic.jl
index 5bbcb25d2..b36702001 100644
--- a/test/runtests_tj_analytic.jl
+++ b/test/runtests_tj_analytic.jl
@@ -19,12 +19,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
 @testset "TJ-analytic model" begin
     @testset "tj_analytic_run (inverse) — basic invariants at ε = 0.25" begin
         # Keep ε, mpsi, mtheta modest so the whole block runs in ~1 s.
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.25, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.25, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         pe = setup_equilibrium(eq, tj)
 
         # psio is a physical-scale ψ; regressions in the a→a² normalization
@@ -33,12 +33,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         @test isfinite(pe.psio)
 
         # ν root-find pins q₂(x=1) = qa; qmax at psihigh=0.995 lands ~0.04 below.
-        @test pe.params.q0 ≈ 1.5  rtol = 1e-3
+        @test pe.params.q0 ≈ 1.5 rtol = 1e-3
         @test pe.params.qmax > 3.5
         @test pe.params.qmax < 3.7
 
         # Magnetic axis at R = R0, Z = 0 for the shifted-circle benchmark.
-        @test pe.ro ≈ 4.0  rtol = 1e-3
+        @test pe.ro ≈ 4.0 rtol = 1e-3
         @test abs(pe.zo) < 1e-8
     end
 
@@ -46,12 +46,12 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         # ε = 0.60 sits on the stable side of the ideal-external-kink pole at
         # ε ≈ 0.665 for this (qc, qa, pc, μ) combination.  Pole-approach shape
         # (δW_t small, Δ' > 0 and growing) is the Option B success criterion.
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.60, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic_direct",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.60, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic_direct",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         pe = setup_equilibrium(eq, tj)
 
         @test pe.psio > 0
@@ -59,13 +59,13 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
 
         # Direct-GS line integration at ε=0.60 gives qmax between 3.8 and 4.0.
         # If the εa³·L shape terms in f_R / f_Z regress, qmax jumps above 5.
-        @test pe.params.q0  ≈ 1.5  rtol = 1e-2
+        @test pe.params.q0 ≈ 1.5 rtol = 1e-2
         @test pe.params.qmax > 3.75
         @test pe.params.qmax < 4.1
 
         # Magnetic axis at R = R0.  Shafranov shift of the O-point itself is
         # zero by construction (H₁(0) = 0).
-        @test pe.ro ≈ (1.0 / 0.60)  rtol = 1e-3
+        @test pe.ro ≈ (1.0 / 0.60) rtol = 1e-3
         @test abs(pe.zo) < 1e-4
     end
 
@@ -73,18 +73,18 @@ using GeneralizedPerturbedEquilibrium.Equilibrium: TJAnalyticConfig, Equilibrium
         # At the magnetic axis ψ_in should equal psio (axis convention: ψ
         # positive at axis, zero at LCFS); sampling well outside the LCFS should
         # give a negative value (the vacuum branch of psi_rz).
-        tj = TJAnalyticConfig(lar_r0 = 1.0 / 0.25, lar_a = 1.0,
-                              qc = 1.5, qa = 3.6, pc = 0.001, mu = 2.0, B0 = 12.0,
-                              ma = 64, mtau = 64)
-        eq = EquilibriumConfig(eq_type = "tj_analytic_direct",
-                               psilow = 0.01, psihigh = 0.995,
-                               mpsi = 64, mtheta = 128, etol = 1e-7)
+        tj = TJAnalyticConfig(lar_r0=1.0 / 0.25, lar_a=1.0,
+            qc=1.5, qa=3.6, pc=0.001, mu=2.0, B0=12.0,
+            ma=64, mtau=64)
+        eq = EquilibriumConfig(eq_type="tj_analytic_direct",
+            psilow=0.01, psihigh=0.995,
+            mpsi=64, mtheta=128, etol=1e-7)
         inp = tj_analytic_run_direct(eq, tj)
 
         # ψ at the geometric axis matches psio (see DirectRunInput docstring for
         # the sign convention: psi_in is positive at axis, zero at LCFS).
         R0 = 1.0 / 0.25
-        @test inp.psi_in((R0, 0.0)) ≈ inp.psio  rtol = 1e-3
+        @test inp.psi_in((R0, 0.0)) ≈ inp.psio rtol = 1e-3
 
         # Well outside the LCFS → negative ψ_in (vacuum branch of the grid).
         R_out = R0 + 1.05   # plasma LCFS is at R ≈ R0 + 0.94

From 46c648dba59e537d0c9e2d4280e5cbc7c09cfa8b Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Mon, 17 Aug 2026 11:54:48 -0400
Subject: [PATCH 04/14] WIP - Bcrit runs through, need to add true Q0, P, etc.
 and validate

---
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 60 ++++++++++++++++++-
 .../CriticalResonantField/bcrit_dev.ipynb     | 37 ++++++++++--
 .../CriticalResonantField/bcrit_dev_ggj.ipynb | 43 ++++++++++++-
 src/Tearing/Runner/Runner.jl                  |  2 +-
 src/Tearing/Runner/run_slayer.jl              | 14 +++--
 5 files changed, 145 insertions(+), 11 deletions(-)

diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 0fb8f9079..72901743a 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -30,7 +30,8 @@
    "source": [
     "using GeneralizedPerturbedEquilibrium\n",
     "using Plots\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis"
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using Printf"
    ]
   },
   {
@@ -49,6 +50,63 @@
    "id": "4",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "using HDF5\n",
+    "\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    println(\"Top-level keys:\")\n",
+    "    println(collect(keys(file)))\n",
+    "\n",
+    "    if haskey(file, \"Tearing\")\n",
+    "        println(\"\\nKeys in Tearing:\")\n",
+    "        println(collect(keys(file[\"Tearing\"])))\n",
+    "\n",
+    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
+    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing group found.\")\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print the contents of the Tearing/CriticalResonantField group\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
+    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
+    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
+    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
+    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
+    "            # print data \n",
+    "            if isa(dataset, HDF5.Dataset)\n",
+    "                data = read(dataset)\n",
+    "                println(\"Data: $data\")\n",
+    "            end\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
+    "    end\n",
+    "    # Print bcrit data as .2e (in one line)\n",
+    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
+    "end\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
index 4af00e1f0..9269f6ab4 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
@@ -177,6 +177,35 @@
    "id": "5",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "Qpk = Qs_positive[argmax(bal_positive)]\n",
     "j   = findfirst(isequal(Qpk), Qs)\n",
@@ -196,7 +225,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -239,7 +268,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -352,7 +381,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -360,7 +389,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
index a4d02d76f..ca4f3df48 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
@@ -106,7 +106,7 @@
     "sval_ggj = 0.5\n",
     "\n",
     "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:ray),\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:galerkin),\n",
     "    p_ggj,\n",
     "    0.5,\n",
     "    1.0,\n",
@@ -204,6 +204,47 @@
    "id": "10",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "println(p.lu^(1/3))\n",
+    "println(p.tauk)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3) for q in Qs]\n",
+    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
     "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index df3293b2f..6f11208a7 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -30,7 +30,6 @@ using HDF5
 using FastInterpolations: cubic_interp
 using ..Utilities
 using ..Utilities: KineticProfiles
-using ...Equilibrium: read_kinetic_file, KineticProfileData
 using ..InnerLayer
 using ..InnerLayer:
     InnerLayerParameters, InnerLayerResponse, solve_inner,
@@ -47,6 +46,7 @@ using ..Dispersion: SurfaceCoupling, surface_coupling,
     AMRResult, amr_scan,
     MultiBoxAMRResult, multi_box_amr_scan, as_amr_result,
     GrowthRateResult, find_growth_rates
+using ..CriticalResonantField: TorqueBalance, torque_balance_scan
 
 include("Control.jl")
 include("Result.jl")
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 3dca41bbc..5c92691f5 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -469,12 +469,18 @@ end
     and the corresponding critical resoannt field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./")
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
     ctrl.enabled || return empty_critical_resonant_field_result()
 
-    # Use the same per-surface params already built for SLAYER
-    profiles = Equilibrium.load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
-    params = build_slayer_inputs(equil, intr.sing, profiles)
+    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
+        slayer_result.params
+    else
+        profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+        build_slayer_inputs(equil, intr.sing, profiles)
+    end
+
+    all(p -> p isa SLAYERParameters, params) ||
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
 
     surface_index = Int[]
     Qpeak_vec = Float64[]

From 522312261253a0a8d0c81ca6d8e80938cb64bb49 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Tue, 18 Aug 2026 16:07:46 -0400
Subject: [PATCH 05/14] WIP - Rebasing with develop

---
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 102 ++-
 .../CriticalResonantField/CRF Dev/b_crit.jls  | Bin 0 -> 74 bytes
 .../CRF Dev/bcrit_dev.ipynb                   | 724 ++++++++++++++++++
 .../{ => CRF Dev}/bcrit_dev_ggj.ipynb         |  23 +-
 .../CRF Dev/bcrit_numerics.ipynb              | 122 +++
 .../{ => CRF Dev}/gslayer.txt                 |   0
 .../CRF Dev/pole_testing.ipynb                | 234 ++++++
 .../CRF Dev/sample_number.jls                 | Bin 0 -> 68 bytes
 .../CriticalResonantField/TorqueBalance.jl    |   4 +-
 .../CriticalResonantField/bcrit_dev.ipynb     | 407 ----------
 src/Tearing/Runner/HDF5Output.jl              |   7 +
 src/Tearing/Runner/run_slayer.jl              |  42 +-
 12 files changed, 1211 insertions(+), 454 deletions(-)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
 rename src/Tearing/CriticalResonantField/{ => CRF Dev}/bcrit_dev_ggj.ipynb (91%)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
 rename src/Tearing/CriticalResonantField/{ => CRF Dev}/gslayer.txt (100%)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
 delete mode 100644 src/Tearing/CriticalResonantField/bcrit_dev.ipynb

diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 72901743a..709891273 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -8,36 +8,26 @@
    "outputs": [],
    "source": [
     "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
     "using GeneralizedPerturbedEquilibrium\n",
-    "using Plots\n",
     "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using Printf"
+    "using Printf\n",
+    "\n",
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,12 +91,74 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function bcrit_diag_plots(Δs, Qs, bal,name)\n",
+    "\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
+    "\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
+    "\n",
+    "    plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
+    "\n",
+    "\n",
+    "end"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "6",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# Plot bcrit vs q surface\n",
+    "\n",
+    "# print all contents of bcrit /scan /surface 1/\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
+    "\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "\n",
+    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
+    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
+    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
+    "\n",
+    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls b/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
new file mode 100644
index 0000000000000000000000000000000000000000..dcd8e2611787cf2ae06b76a1ee64426e4009ac8a
GIT binary patch
literal 74
zcmXr_@{wa<U|<k+d&c)g(D89Ef4DtgVP-T}{No6FzOW;P4Uz(p_IzuOom^-OVw82i
Y+3NvfNF32K2m~>LoNTscITzal0AxrQ1ONa4

literal 0
HcmV?d00001

diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
new file mode 100644
index 000000000..528ca4934
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
@@ -0,0 +1,724 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    alpha = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ+ alpha))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "    end\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "    i = argmax(bal_positive)\n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    \n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=4, omega_i=-2,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=0.818, Q_i=-0.543, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "p = p2\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    61.0, #1.0\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "Qmi = -10\n",
+    "Qma = 10\n",
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
+    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
+    "for i in z_inds\n",
+    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
+    "end\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "p5 = plot(Qs, bal, lw=2, label=\"balance\",xlim=(Qs[z_inds[1]],Qs[z_inds[2]]))#,ylim=(-40, 40))#, xlim = (-.11,-.09))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-5,2))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "vline!([-3], linestyle=:dashdot)\n",
+    "vline!([-2], linestyle=:dashdot)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "vline!([0.499], linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δ\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
+    "jxb0 = -imag(1.0 ./ (Δs))\n",
+    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue)#, xlim = (-.11,-.09),ylim=(-500,500))\n",
+    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\n",
+    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue)#, xlim = (-.11,-.09))\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qs[], Qmax=Qs[zin], n=10000)\n",
+    "\n",
+    "\n",
+    "plo = plot(p1, p2,p3,p4,p5, p6, layout=(6,1), size=(1000, 2000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qlow = -0.1005100510051005\n",
+    "Qhigh =  0.49954995499549953\n",
+    "\n",
+    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qlow, Qmax=Qhigh, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
+    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
+    "for i in z_inds\n",
+    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
+    "end\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\n",
+    "p5 = plot(Qs, bal, lw=2, label=\"balance\",ylim=(-40, 40), xlim = (-.11,-.09))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-2,2))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δ\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
+    "jxb0 = -imag(1.0 ./ (Δs))\n",
+    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue, xlim = (-.11,-.09),ylim=(-500,500))\n",
+    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\n",
+    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue, xlim = (-.11,-.09))\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"~ jxb\")\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "plo = plot(p1, p2,p3,p4,p5, layout=(5,1), size=(1000, 2000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Qs = range(-5.0, 5.0, length=200)\n",
+    "\n",
+    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
+    "\"\"\"\n",
+    "n=2000:\n",
+    "Qpeak = 0.24512256128064033\n",
+    "maxbal = 0.35873684252530247\n",
+    "br_crit = 4.668551985584323e-5\n",
+    "\n",
+    "n=200 (def):\n",
+    "Qpeak = 0.25125628140703515\n",
+    "maxbal = 0.3585219071071706\n",
+    "br_crit = 4.667153206033017e-5\n",
+    "\"\"\"\n",
+    "\n",
+    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-.2, Qmax=0.5, n=10000)\n",
+    "\n",
+    "println(\"Qpeak = \", Qpeak)\n",
+    "println(\"maxbal = \", maximum(bal_positive))\n",
+    "println(\"maxbal = \", maximum(bal))\n",
+    "println(\"br_crit = \", brcrit)\n",
+    "\n",
+    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"balance\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δs)\")#,ylim=(-.2,.05))#,xlim=(-.11,-.09))\n",
+    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δs)\")\n",
+    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"Δs\")\n",
+    "title!(\"Torque-balance scan\")\n",
+    "\n",
+    "\"\"\"\n",
+    "#remake plot 1 but of derivative of balance with respect to Q\n",
+    "dQ = Qs[2] - Qs[1]\n",
+    "dbal_dQ = diff(bal) ./ dQ\n",
+    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
+    "xlabel!(\"Q\")\n",
+    "ylabel!(\"d(balance)/dQ\")\n",
+    "\"\"\"\n",
+    "plo = plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
+    "display(plo)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "\n",
+    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\n",
+    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"jxb\")\n",
+    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "xlabel!(p3, \"Q\")\n",
+    "ylabel!(p3, \"balance\")\n",
+    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Check torque is balanced\n",
+    "\n",
+    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
+    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "\n",
+    "# delta_n_p = 1e-2\n",
+    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
+    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
+    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
+    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sample_number = [2, 3, 4, 5, 10,100,1000]#,10000,100000]#,1000000]\n",
+    "b_crit = []\n",
+    "# make dicts to store Qs_n and Δs_n arrays for each sample number\n",
+    "Qs_n_dict = Dict{Int, Vector{Float64}}()\n",
+    "bal_n_dict = Dict{Int, Vector{Float64}}()\n",
+    "for i in sample_number\n",
+    "    Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=i)\n",
+    "    push!(b_crit, brcrit_n)\n",
+    "    push!(Qs_n_dict, i => Qs_n)\n",
+    "    push!(bal_n_dict, i => bal_n)\n",
+    "    println(bal_n)\n",
+    "end\n",
+    "\n",
+    "# add bcrit = 3.50601e-03 for n=100000 to b_crit\n",
+    "#push!(b_crit, 3.50601e-03)\n",
+    "\n",
+    "# make a plot of b_crit vs sample_number \n",
+    "p1 = plot(sample_number, b_crit,\n",
+    "    lw=2,\n",
+    "    label=\"b_crit\",\n",
+    "    #xscale=:log10,\n",
+    "    #yscale=:log10,\n",
+    "    xlabel=\"Sample Number\",\n",
+    "    ylabel=\"b_crit\")\n",
+    "\n",
+    "p2 = plot(\n",
+    "    xlabel=\"Q\",\n",
+    "    ylabel=\"balance\",\n",
+    "    title=\"Torque balance vs Q\"\n",
+    ")\n",
+    "\n",
+    "for i in sample_number[1:end-1]\n",
+    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\")\n",
+    "end\n",
+    "\n",
+    "p3 = plot(layout=(3, 2), size=(1000, 800))\n",
+    "\n",
+    "for (k, i) in enumerate(sample_number[1:end-1])\n",
+    "    plot!(\n",
+    "        p3[k],\n",
+    "        Qs_n_dict[i],\n",
+    "        bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\",\n",
+    "        xlabel=\"Q\",\n",
+    "        ylabel=\"balance\",\n",
+    "        title=\"n = $i\"\n",
+    "    )\n",
+    "end\n",
+    "\n",
+    "display(p1)\n",
+    "display(p2)\n",
+    "display(p3)\n",
+    "\n",
+    "\n",
+    "println(\"b_crit = \", b_crit)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(b_crit)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bcrit = Any[0.0014075170156654356, 0.0015190532807794722, 0.0015297173529485084, 0.0015297510027746748, 0.0015297613496804952, 0.0015297692159317363, 0.004702965572292843]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Serialization\n",
+    "\n",
+    "# serialize(\"Qs_n_dict.jls\", Qs_n_dict)\n",
+    "# serialize(\"bal_n_dict.jls\", bal_n_dict)\n",
+    "# serialize(\"b_crit.jls\", b_crit)\n",
+    "# serialize(\"sample_number.jls\", sample_number)\n",
+    "#my_dict = deserialize(\"my_dict.jls\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "\n",
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "br_t = brcrit\n",
+    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "xmi = -2.5\n",
+    "xma = 0\n",
+    "\n",
+    "\"\"\"\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\"\"\"\n",
+    "\n",
+    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"Torque\")\n",
+    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "ylabel!(p3, \"Torque Balance\")\n",
+    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "xlabel!(p3, \"Q\")\n",
+    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Recreate Cihan's plot:\n",
+    "\n",
+    "using Plots\n",
+    "using DataInterpolations\n",
+    "\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    grid=false,\n",
+    "    linewidth=2,\n",
+    "    guidefontsize=26,\n",
+    "    tickfontsize=18,\n",
+    "    titlefontsize=30,\n",
+    "    legendfontsize=18,\n",
+    "    size=(1200, 800),\n",
+    "    dpi=150\n",
+    ")\n",
+    "\n",
+    "# Build the critical boundary bcrit(Q0)\n",
+    "Q0_scan = range(-1.0, 4.5; length=80)\n",
+    "bcrit_curve = Float64[]\n",
+    "\n",
+    "for Q0 in Q0_scan\n",
+    "    tbQ = TorqueBalance(\n",
+    "        tb.model,\n",
+    "        tb.params,\n",
+    "        Float64(Q0),\n",
+    "        tb.P,\n",
+    "        tb.delta_n_p,\n",
+    "        tb.lu,\n",
+    "        tb.sval\n",
+    "    )\n",
+    "\n",
+    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
+    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
+    "\n",
+    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
+    "        push!(bcrit_curve, NaN)\n",
+    "    else\n",
+    "        push!(bcrit_curve, brcrit)\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "ok = isfinite.(bcrit_curve)\n",
+    "Q0_plot = Q0_scan[ok]\n",
+    "bcrit_plot = bcrit_curve[ok]\n",
+    "\n",
+    "perm = sortperm(Q0_plot)\n",
+    "Q0_plot = Q0_plot[perm]\n",
+    "bcrit_plot = bcrit_plot[perm]\n",
+    "\n",
+    "# Interpolate the boundary: bcrit = f(Q0)\n",
+    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
+    "\n",
+    "# Full phase-box bounds\n",
+    "x0 = minimum(bcrit_plot) * 0.8\n",
+    "x1 = maximum(bcrit_plot) * 1.2\n",
+    "y0 = minimum(Q0_plot)\n",
+    "y1 = maximum(Q0_plot)\n",
+    "\n",
+    "xvals = range(x0, x1; length=350)\n",
+    "yvals = range(y0, y1; length=350)\n",
+    "\n",
+    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
+    "for iy in eachindex(yvals)\n",
+    "    y = yvals[iy]\n",
+    "    for ix in eachindex(xvals)\n",
+    "        x = xvals[ix]\n",
+    "        # locked when bcrit exceeds the boundary for that Q0\n",
+    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "p = contourf(\n",
+    "    xvals, yvals, locked_mask',\n",
+    "    levels=[-0.5, 0.5, 1.5],\n",
+    "    c=[:navy, :firebrick],\n",
+    "    colorbar=false,\n",
+    "    xlabel=\"b_crit\",\n",
+    "    ylabel=\"Q_0\",\n",
+    "    title=\"Locked / unlocked region\",\n",
+    "    framestyle=:box,\n",
+    "    xlims=(x0, x1),\n",
+    "    ylims=(y0, y1),\n",
+    "    legend=false\n",
+    ")\n",
+    "\n",
+    "# Critical boundary\n",
+    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
+    "\n",
+    "# Critical point\n",
+    "cp_idx = argmax(bcrit_plot)\n",
+    "cp_x = bcrit_plot[cp_idx]\n",
+    "cp_y = Q0_plot[cp_idx]\n",
+    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "# Single legend block with one entry per category\n",
+    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
+    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
+    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
+    "\n",
+    "plot!(p; legend=:topright)\n",
+    "\n",
+    "display(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
similarity index 91%
rename from src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
rename to src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
index ca4f3df48..617d61585 100644
--- a/src/Tearing/CriticalResonantField/bcrit_dev_ggj.ipynb
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb	
@@ -216,7 +216,26 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3) for q in Qs]\n",
+    "plt.figure()\n",
+    "for i in OMFIT['GPEC']['OUTPUTS'].keys():\n",
+    "    try:\n",
+    "        print(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values)\n",
+    "        plt.plot(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['inQ'].values, OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values,label=i)\n",
+    "    except:\n",
+    "        continue\n",
+    "plt.axhline(0)\n",
+    "plt.legend()\n",
+    "        \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3)/p.rs for q in Qs]\n",
     "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
     "\n",
     "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
@@ -242,7 +261,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "12",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
new file mode 100644
index 000000000..71ed79d9e
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb	
@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "using Serialization\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bal_n_dict = deserialize(\"bal_n_dict.jls\")\n",
+    "Qs_n_dict = deserialize(\"Qs_n_dict.jls\")\n",
+    "sample_number = deserialize(\"sample_number.jls\")\n",
+    "bcrit = deserialize(\"b_crit.jls\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make a plot of b_crit vs sample_number \n",
+    "p1 = plot(\n",
+    "    sample_number,\n",
+    "    b_crit,\n",
+    "    lw=2,\n",
+    "    marker=:circle,\n",
+    "    label=\"b_crit\",\n",
+    "    xscale=:log10,\n",
+    "    #yscale=:log10,\n",
+    "    xlabel=\"Sample Number\",\n",
+    "    ylabel=\"b_crit\"\n",
+    ")\n",
+    "\n",
+    "xticks!(p1,\n",
+    "    [5, 10, 100, 1000, 10000, 100000, 1000000],\n",
+    "    [\"5\", \"10\", \"100\", \"1k\", \"10k\", \"100k\", \"1M\"]\n",
+    ")\n",
+    "\n",
+    "p2 = plot(\n",
+    "    xlabel=\"Q\",\n",
+    "    ylabel=\"balance\",\n",
+    "    title=\"Torque balance vs Q\"\n",
+    ")\n",
+    "\n",
+    "for i in sample_number\n",
+    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\")\n",
+    "end\n",
+    "\n",
+    "p3 = plot(layout=(4, 2), size=(1000, 800))\n",
+    "\n",
+    "for (k, i) in enumerate(sample_number)\n",
+    "    plot!(\n",
+    "        p3[k],\n",
+    "        Qs_n_dict[i],\n",
+    "        bal_n_dict[i],\n",
+    "        lw=2,\n",
+    "        label=\"n=$i\",\n",
+    "        xlabel=\"Q\",\n",
+    "        ylabel=\"balance\",\n",
+    "        title=\"n = $i\"\n",
+    "    )\n",
+    "end\n",
+    "\n",
+    "display(p1)\n",
+    "display(p2)\n",
+    "display(p3)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(\"bcrit = $bcrit\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/gslayer.txt b/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
similarity index 100%
rename from src/Tearing/CriticalResonantField/gslayer.txt
rename to src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
new file mode 100644
index 000000000..329e9dd53
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
@@ -0,0 +1,234 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
+    "using GeneralizedPerturbedEquilibrium: Tearing\n",
+    "using ..InnerLayer\n",
+    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters\n",
+    "\n",
+    "using Plots\n",
+    "using Printf\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
+    "    model::M\n",
+    "    params::P\n",
+    "    Q0::Float64\n",
+    "    P::Float64\n",
+    "    lu::Float64\n",
+    "    sval::Float64\n",
+    "end\n",
+    "\n",
+    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
+    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
+    "    alpha = 1e-2\n",
+    "    jxb = -imag(1.0 / (Δ + alpha))\n",
+    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
+    "end\n",
+    "\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "    Qs = range(Qmin, Qmax; length=n)\n",
+    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    bal = [x[1] for x in torque_out]\n",
+    "    Δs = [x[2] for x in torque_out]\n",
+    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
+    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "    if !any(positive)\n",
+    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "    end\n",
+    "\n",
+    "    i = argmax(bal)\n",
+    "    Qpeak_ind = i\n",
+    "    Qs_positive = Qs[positive]\n",
+    "    bal_positive = bal[positive]\n",
+    "\n",
+    "\n",
+    "    \n",
+    "    Qpeak = Qs_positive[i]\n",
+    "    maxbal = bal_positive[i]\n",
+    "\n",
+    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
+    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "    omega=0.0, omega_e=40, omega_i=-20,\n",
+    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    ")\n",
+    "p = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
+    "    ising=p.ising,\n",
+    "    m=p.m, n=p.n,\n",
+    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
+    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "    eta=p.eta, d_beta=p.d_beta,\n",
+    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    ")\n",
+    "\n",
+    "tb = TorqueBalance(\n",
+    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
+    "    p,\n",
+    "    0.5,\n",
+    "    61.0, #1.0\n",
+    "    p.lu,\n",
+    "    p.sval_r\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "\n",
+    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "#br_t = brcrit\n",
+    "#println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
+    "#@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
+    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "i = Qpeak_ind\n",
+    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "#T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "xmi = -2.5\n",
+    "xma = 0\n",
+    "\n",
+    "\"\"\"\n",
+    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Δ\")\n",
+    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "\"\"\"\n",
+    "\n",
+    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p1, \"Q\")\n",
+    "ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "xlabel!(p2, \"Q\")\n",
+    "ylabel!(p2, \"Torque\")\n",
+    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
+    "\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "ylabel!(p3, \"Torque Balance\")\n",
+    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
+    "xlabel!(p3, \"Q\")\n",
+    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
+    "plot(p3, layout=(1,1), size=(800, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# compare Q_e to Q of max(bal)\n",
+    "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
+    "# check if |Qpeak+Q_e| < 1e-2\n",
+    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Check torque is balanced\n",
+    "\n",
+    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
+    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "\n",
+    "# delta_n_p = 1e-2\n",
+    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
+    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
+    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
+    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
+    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
+    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls b/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
new file mode 100644
index 0000000000000000000000000000000000000000..c320ccaa9d62b84e8037da421fd24ccf2da49346
GIT binary patch
literal 68
ucmXr_@{wa<U|<ks;CRLgq(OiSLNTO3=@-lphJZSRUeLw}W;i(UgJ}T6Yz067

literal 0
HcmV?d00001

diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index 517737c57..fbafddc4a 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -40,8 +40,8 @@ end
 
 function torque_balance_value(tb::TorqueBalance, Q::Number)
     Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
-    delta_n_p = 1e-2 # JK hack to avoid singularity at Δ=0.0. Need to fix this in the future.
-    jxb = -imag(1.0 / (Δ + delta_n_p))
+    alpha = 1e-2 # Equation 62 of Cole PopP 2006 takes limit of alpha << 1. Set at 1e-2 but more accurate method is alpha = S^(-1/3) * (-r_s Δ'_s)
+    jxb = -imag(1.0 / (Δ + alpha))
     return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
 end
 
diff --git a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
deleted file mode 100644
index 9269f6ab4..000000000
--- a/src/Tearing/CriticalResonantField/bcrit_dev.ipynb
+++ /dev/null
@@ -1,407 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    delta_n_p = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, NaN, 0.0\n",
-    "    end\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
-    "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    \n",
-    "    maxbal = bal_positive[i]\n",
-    "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=4 / p.tauk, Q_i=-10 / p.tauk, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "#p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs_positive, bal_positive, lw=2, label=\"balance (positive)\")\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "plot(p1, p2, layout=(2,1), size=(800, 1000))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qpk = Qs_positive[argmax(bal_positive)]\n",
-    "j   = findfirst(isequal(Qpk), Qs)\n",
-    "\n",
-    "lhs = 2*tb.P*(tb.Q0 - Qpk) / jxbs[j]\n",
-    "br_ratio = sqrt(lhs / (tb.lu * tb.sval^2 / 2))\n",
-    "\n",
-    "rhs = (tb.lu * tb.sval^2 / 2) * br_ratio^2\n",
-    "\n",
-    "\n",
-    "\n",
-    "println(\"lhs = \", lhs)\n",
-    "println(\"rhs = \", rhs)\n",
-    "println(\"lhs/rhs = \", lhs / rhs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for (q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", tb.delta_n_p)\n",
-    "T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "plot!(p2, Qs, T_VISC, label=\"2P(Q0-Q)\", lw=2)\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recreate Cihan's plot:\n",
-    "\n",
-    "using Plots\n",
-    "using DataInterpolations\n",
-    "\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    grid=false,\n",
-    "    linewidth=2,\n",
-    "    guidefontsize=26,\n",
-    "    tickfontsize=18,\n",
-    "    titlefontsize=30,\n",
-    "    legendfontsize=18,\n",
-    "    size=(1200, 800),\n",
-    "    dpi=150\n",
-    ")\n",
-    "\n",
-    "# Build the critical boundary bcrit(Q0)\n",
-    "Q0_scan = range(-1.0, 4.5; length=80)\n",
-    "bcrit_curve = Float64[]\n",
-    "\n",
-    "for Q0 in Q0_scan\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
-    "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
-    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
-    "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_curve, NaN)\n",
-    "    else\n",
-    "        push!(bcrit_curve, brcrit)\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "ok = isfinite.(bcrit_curve)\n",
-    "Q0_plot = Q0_scan[ok]\n",
-    "bcrit_plot = bcrit_curve[ok]\n",
-    "\n",
-    "perm = sortperm(Q0_plot)\n",
-    "Q0_plot = Q0_plot[perm]\n",
-    "bcrit_plot = bcrit_plot[perm]\n",
-    "\n",
-    "# Interpolate the boundary: bcrit = f(Q0)\n",
-    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
-    "\n",
-    "# Full phase-box bounds\n",
-    "x0 = minimum(bcrit_plot) * 0.8\n",
-    "x1 = maximum(bcrit_plot) * 1.2\n",
-    "y0 = minimum(Q0_plot)\n",
-    "y1 = maximum(Q0_plot)\n",
-    "\n",
-    "xvals = range(x0, x1; length=350)\n",
-    "yvals = range(y0, y1; length=350)\n",
-    "\n",
-    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
-    "for iy in eachindex(yvals)\n",
-    "    y = yvals[iy]\n",
-    "    for ix in eachindex(xvals)\n",
-    "        x = xvals[ix]\n",
-    "        # locked when bcrit exceeds the boundary for that Q0\n",
-    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "p = contourf(\n",
-    "    xvals, yvals, locked_mask',\n",
-    "    levels=[-0.5, 0.5, 1.5],\n",
-    "    c=[:navy, :firebrick],\n",
-    "    colorbar=false,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked region\",\n",
-    "    framestyle=:box,\n",
-    "    xlims=(x0, x1),\n",
-    "    ylims=(y0, y1),\n",
-    "    legend=false\n",
-    ")\n",
-    "\n",
-    "# Critical boundary\n",
-    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
-    "\n",
-    "# Critical point\n",
-    "cp_idx = argmax(bcrit_plot)\n",
-    "cp_x = bcrit_plot[cp_idx]\n",
-    "cp_y = Q0_plot[cp_idx]\n",
-    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "# Single legend block with one entry per category\n",
-    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
-    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "plot!(p; legend=:topright)\n",
-    "\n",
-    "display(p)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index 02c3f5da9..006f2d079 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -82,6 +82,13 @@ function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group}
             sg["balance_positive"] = d.balance_positive
             sg["Qpeak"] = d.Qpeak
             sg["br_crit"] = d.br_crit
+
+            # Save inputs for analysis in post
+            for field in (:Q0, :P, :lu, :sval, :m, :n)
+                if field in keys(d)
+                    sg[String(field)] = getfield(d, field)
+                end
+            end
         end
     end
 
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 5c92691f5..3d51d4a11 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -472,10 +472,11 @@ end
 function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
     ctrl.enabled || return empty_critical_resonant_field_result()
 
+    profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
+
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
     else
-        profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
         build_slayer_inputs(equil, intr.sing, profiles)
     end
 
@@ -490,8 +491,9 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     scan_data = NamedTuple[]
 
     for (isurf, p) in enumerate(params)
-        # Fill in the actual per-surface drive from your model
-        Q0_here = 0.5
+        psi_here = intr.sing[isurf].psifac
+        omega_here = profiles(psi_here).omega
+        Q0_here = p.tauk * omega_here
         P_here = 1.0
 
         tb = TorqueBalance(
@@ -512,21 +514,25 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         push!(Q0_vec, Q0_here)
         push!(P_vec, P_here)
 
-        if ctrl.store_scan
-            push!(
-                scan_data,
-                (
-                    surface=isurf,
-                    Q=collect(Qs),
-                    balance=collect(bal),
-                    delta=collect(Δs),
-                    Q_positive=collect(Qs_positive),
-                    balance_positive=collect(bal_positive),
-                    Qpeak=Qpeak,
-                    br_crit=br_crit
-                )
-            )
-        end
+        scan_entry = (
+            surface=isurf,
+            Q=collect(Qs),
+            balance=collect(bal),
+            delta=collect(Δs),
+            Q_positive=collect(Qs_positive),
+            balance_positive=collect(bal_positive),
+            Qpeak=Qpeak,
+            br_crit=br_crit,
+            Q0=Q0_here,
+            P=P_here,
+            lu=p.lu,
+            sval=p.sval_r,
+            m=p.m,
+            n=p.n,
+            params=p
+        )
+        push!(scan_data, scan_entry)
+
     end
 
     return CriticalResonantFieldResult(

From 6f4a356483082f90baed0df5f3c45cd2bd9b08af Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Wed, 19 Aug 2026 22:04:23 -0400
Subject: [PATCH 06/14] WIP - Minimal working version

---
 examples/DIIID-like_SLAYER_example/gpec.toml  |   8 +-
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb |  86 +++++-
 .../CRF Dev/P_eta_calc.ipynb                  | 279 ++++++++++++++++++
 .../CRF Dev/bcrit_dev.ipynb                   |   4 +-
 .../CRF Dev/pole_testing.ipynb                | 193 +++++++++++-
 .../CriticalResonantField/TorqueBalance.jl    |  86 +++++-
 src/Tearing/Runner/Control.jl                 |  80 ++---
 src/Tearing/Runner/HDF5Output.jl              |  11 +-
 src/Tearing/Runner/Result.jl                  |  77 ++---
 src/Tearing/Runner/Runner.jl                  |   1 +
 src/Tearing/Runner/run_slayer.jl              | 225 ++++++++------
 11 files changed, 839 insertions(+), 211 deletions(-)
 create mode 100644 src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb

diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_example/gpec.toml
index d5dfe09c3..618372d02 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_example/gpec.toml
@@ -30,7 +30,7 @@ equal_arc_wall = true          # Equal arc length distribution of nodes on wall
 
 [ForceFreeStates]
 force_termination = true       # Run FFS + SLAYER, skip PerturbedEquilibrium
-local_stability_flag = true    # Perform local stability analysis (Mercier and ballooning) across the ψ profile
+local_stability_flag = false    # Perform local stability analysis (Mercier and ballooning) across the ψ profile
 vac_flag = true                # Compute plasma, vacuum, and total energies for free-boundary modes
 
 psiedge = 0.99                 # Edge dW scan band: diagnostic dW(ψ) computed for ψ ∈ [psiedge, psilim]; integration domain set by qhigh / psihigh / dmlim
@@ -87,11 +87,11 @@ Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
 
-[CriticalResonantField]
+[SLAYER.CriticalResonantField]
 # CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
 enabled = true # Run CriticalResonantField analysis
-inner_model = "slayer_fitzpatrick" # Inner-layer Δ(Q) model: "slayer_fitzpatrick", "ggj_shooting", or "ggj_galerkin"
 Qmin = -10 # Minimum rotation scanned
 Qmax = 10 # Maximum rotation scanned
 n = 200 # Number of rotation points scanned
-profile_file = "../DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5" # Kinetic-profile file (relative to the run dir), required when SLAYER is enabled
+angular_momentum_diffusivity = [1.0,1.0,1.0,1.0,1.0,1.0] # Toroidal momentum diffusivity (if nothing, falls back on chi_perp ~ chi_e, electron thermal diffusivity)
+store_scan = true # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
index 709891273..710608340 100644
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
@@ -134,6 +134,90 @@
    "id": "6",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# print all P values\n",
+    "println(\"\\nP values for each surface in the scan:\")\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
+    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
+    "            println(\"Surface $i: P = $(join([@sprintf(\"%.2e\", x) for x in P], \" \"))\")\n",
+    "        else\n",
+    "            println(\"Surface $i: No data found.\")\n",
+    "        end\n",
+    "    end\n",
+    "end\n",
+    "# want to print chi_tor for each surface in the scan, need to use P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo, so chi_sel = P * η_neo / (4π * 1e-7)\n",
+    "println(\"\\nchi_tor values for each surface in the scan:\")\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
+    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
+    "            η_neo = read(file[\"Tearing\"][\"PerSurface\"][\"eta\"])\n",
+    "            chi_tor = P .* η_neo[i] ./ (4π * 1e-7)\n",
+    "            println(\"Surface $i: chi_tor = $(join([@sprintf(\"%.2e\", x) for x in chi_tor], \" \"))\")   \n",
+    "        else\n",
+    "            println(\"Surface $i: No data found.\")\n",
+    "        end\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot jxb vs Qs for surface 1\n",
+    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "surface_num = 2\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
+    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
+    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    xlabel!(\"Q\")\n",
+    "    ylabel!(\"jxb\")\n",
+    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
+    "    println(\"max of balance: \", maximum(bal))\n",
+    "    println(\"max of jxb: \", maximum(jxbs))\n",
+    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
+    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
+    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
+    "    # plot balance vs q with bcrit as vertical line\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
+    "    # add Q_e as vertical line\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
+    "\n",
+    "    display(aplot)\n",
+    "    display(p2)\n",
+    "\n",
+    "end\n",
+    "\n",
+    "\"\"\"\n",
+    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
+    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
+    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Plot bcrit vs q surface\n",
     "\n",
@@ -156,7 +240,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
new file mode 100644
index 000000000..0639317bd
--- /dev/null
+++ b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb	
@@ -0,0 +1,279 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
+    "using Plots\n",
+    "using Printf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Minimal Julia implementation of the `neo_2021` branch.\n",
+    "\n",
+    "# Inputs:\n",
+    "#   Te     : electron temperature [eV]\n",
+    "#   ne     : electron density [m^-3]\n",
+    "#   Ti     : ion temperature [eV]\n",
+    "#   q      : safety factor\n",
+    "#   eps    : inverse aspect ratio\n",
+    "#   R      : major radius [m]\n",
+    "#   fT     : trapped-particle fraction\n",
+    "#   Zeff   : effective charge\n",
+    "\n",
+    "# Output:\n",
+    "#   σ_spitzer : Spitzer conductivity [1/(Ω m)]\n",
+    "#   σ_neo     : Redl 2021 neoclassical conductivity [1/(Ω m)]\n",
+    "\n",
+    "# All inputs can be scalars or arrays of the same size.\n",
+    "\n",
+    "function neoclassical_conductivity(\n",
+    "    Te, ne, Ti, q, eps, R, fT, Zeff;\n",
+    "    version = :neo_2021,\n",
+    ")\n",
+    "\n",
+    "    # Coulomb logarithms\n",
+    "    lnΛe = 23.5 .-\n",
+    "           log.(sqrt.(ne ./ 1e6) .* Te.^(-5/4)) .-\n",
+    "           sqrt.(1e-5 .+ (log.(Te) .- 2).^2 ./ 16)\n",
+    "\n",
+    "    # Ion density.\n",
+    "    #\n",
+    "    # For the simple D + C model used in the original code:\n",
+    "    #     n_i = n_main + n_imp\n",
+    "    #\n",
+    "    # If only Zeff is supplied, the original function uses\n",
+    "    #     n_i = ne / Zeff\n",
+    "    ni = ne ./ Zeff\n",
+    "\n",
+    "    # With only Zeff available, Zdom = 1, giving\n",
+    "    Zdom = 1.0\n",
+    "\n",
+    "    # Average ion charge\n",
+    "    Zavg = ne ./ ni\n",
+    "\n",
+    "    # Koh effective ion charge\n",
+    "    Zion = (Zdom^2 .* Zavg .* Zeff).^(1/4)\n",
+    "\n",
+    "    # Ion Coulomb logarithm\n",
+    "    lnΛi = 30.0 .-\n",
+    "           log.(Zion.^3 .* sqrt.(ni) ./ Ti.^1.5)\n",
+    "\n",
+    "    # Prevent pathological negative electron Coulomb logarithms\n",
+    "    lnΛe_min = minimum(lnΛe[lnΛe .> 0])\n",
+    "    lnΛe = max.(lnΛe, lnΛe_min)\n",
+    "\n",
+    "    # Avoid eps = 0\n",
+    "    eps_nz = copy(eps)\n",
+    "    if any(eps .== 0)\n",
+    "        eps_nz[eps .== 0] .= minimum(eps[eps .!= 0])\n",
+    "    end\n",
+    "\n",
+    "    # Electron collisionality, Eq. 18b\n",
+    "    νe_star = 6.921e-18 .* abs.(q) .* R .* ne .* Zeff .* lnΛe ./\n",
+    "              (Te.^2 .* eps_nz.^1.5)\n",
+    "\n",
+    "    # Ion collisionality, Eq. 18c\n",
+    "    νi_star = 4.90e-18 .* abs.(q) .* R .* ni .* Zion.^4 .* lnΛi ./\n",
+    "              (Ti.^2 .* eps_nz.^1.5)\n",
+    "\n",
+    "    # Sauter Eq. 18a\n",
+    "    NZ(Z) = 0.58 + 0.74 ./ (0.76 + Z)\n",
+    "\n",
+    "    σ_spitzer = 1.9012e4 .* Te.^1.5 ./\n",
+    "                (Zeff .* NZ(Zeff) .* lnΛe)\n",
+    "\n",
+    "    # Redl 2021, Eq. 18\n",
+    "    f33teff = fT ./ (\n",
+    "        1 .+\n",
+    "        0.25 .* (1 .- 0.7 .* fT) .* sqrt.(νe_star) .*\n",
+    "        (1 .+ 0.45 .* sqrt.(Zeff .- 1)) .+\n",
+    "        0.61 .* (1 .- 0.41 .* fT) .* νe_star ./ sqrt.(Zeff)\n",
+    "    )\n",
+    "\n",
+    "    # Redl 2021, Eq. 17\n",
+    "    F33 = 1 .-\n",
+    "          (1 .+ 0.21 ./ Zeff) .* f33teff .+\n",
+    "          0.54 ./ Zeff .* f33teff.^2 .-\n",
+    "          0.33 ./ Zeff .* f33teff.^3\n",
+    "\n",
+    "    σ_neo = σ_spitzer .* F33\n",
+    "\n",
+    "    return σ_neo, σ_spitzer\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function calc_resistivity_P(chi, ne, Te, Zeff, q, eps, R, fT, volume;\n",
+    "                            model=:neoclassical)\n",
+    "    cond = neoclassical_conductivity(\n",
+    "        Te=Te,\n",
+    "        ne=ne,\n",
+    "        Ti=Te,\n",
+    "        Zeff=Zeff,\n",
+    "        q=q,\n",
+    "        eps=eps,\n",
+    "        R=R,\n",
+    "        fT=fT,\n",
+    "        volume=volume,\n",
+    "        version=:neo_2021,\n",
+    "    )\n",
+    "\n",
+    "    σ = model == :neoclassical ?\n",
+    "        cond.neoclassical_conductivity :\n",
+    "        cond.spitzer_conductivity\n",
+    "\n",
+    "    η = 1 ./ σ\n",
+    "    P = (4π * 1e-7) .* abs.(chi) ./ η\n",
+    "\n",
+    "    return η, P\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
+    "    Te_eV,\n",
+    "    ne_sel,\n",
+    "    Te_eV,       # Ti = Te\n",
+    "    qsing,\n",
+    "    eps_sel,\n",
+    "    R_sel,\n",
+    "    fT_sel;\n",
+    "    Zeff=zeff_sel,\n",
+    ")\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
+    "    106.211805100300,      # Te [eV]\n",
+    "    1.005827348013049e19,  # ne [m^-3]\n",
+    "    106.211805100300,      # Ti [eV]\n",
+    "    6.00000000000048,      # q\n",
+    "    0.771873939341347 / 1.74333594120074,  # eps = rs / R0\n",
+    "    1.74333594120074,      # R [m]\n",
+    "    1, #fT;                    # trapped fraction\n",
+    "    1.80427095488192, # Zeff\n",
+    ")\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "chi_sel = 1\n",
+    "\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using LinearAlgebra # or relevant module providing neoclassical_conductivity\n",
+    "\n",
+    "# --- Set 1 Inputs (5 radial points) ---\n",
+    "Te_eV   = [718.04269217, 342.58020426, 188.39435197, 95.70267912, 44.04668565] # Te and Ti [eV]\n",
+    "ne_sel  = [1.98796958e19, 1.80371630e19, 1.55527262e19, 1.23649097e19, 8.97867646e18] # ne [m^-3]\n",
+    "zeff_sel = [1.65619282, 1.64427584, 1.58198407, 1.55990923, 1.68572562] # Zeff\n",
+    "qsing   = [2.0, 3.0, 4.0, 5.0, 6.0] # q\n",
+    "eps_sel = [0.22284171, 0.28956909, 0.32302672, 0.34432513, 0.35141583] # eps = r/R\n",
+    "R_sel   = [1.72151657, 1.70693349, 1.69832026, 1.69192129, 1.68947514] # R [m]\n",
+    "fT_sel  = [0.6127298, 0.66890766, 0.68553652, 0.68355803, 0.67414449] # Trapped fraction fT\n",
+    "\n",
+    "# Reference values from Python NCLASS run (for validation)\n",
+    "py_neo     = [7683580.66632273, 3011088.07938057, 1644303.89021149, 782055.27991453, 274193.4323623]\n",
+    "py_spitzer = [16324797.88300323, 5666135.22162908, 2468477.31865855, 941040.7938515, 290205.76181926]\n",
+    "\n",
+    "# --- Run Neoclassical Conductivity in Julia ---\n",
+    "# Broadcasting across all 5 radial positions:\n",
+    "σ_neo, σ_spitzer = neoclassical_conductivity.(\n",
+    "    Te_eV,    # Te [eV]\n",
+    "    ne_sel,   # ne [m^-3]\n",
+    "    Te_eV,    # Ti [eV] (assumed Ti = Te)\n",
+    "    qsing,    # q\n",
+    "    eps_sel,  # eps\n",
+    "    R_sel,    # R [m]\n",
+    "    fT_sel,   # trapped fraction fT\n",
+    "    zeff_sel  # Zeff\n",
+    ")\n",
+    "\n",
+    "# Collect tuple outputs into a vector of tuples\n",
+    "results = [\n",
+    "    neoclassical_conductivity(\n",
+    "        Te_eV[i], ne_sel[i], Te_eV[i], qsing[i], \n",
+    "        eps_sel[i], R_sel[i], fT_sel[i], zeff_sel[i]\n",
+    "    ) for i in 1:length(Te_eV)\n",
+    "]\n",
+    "\n",
+    "# Extract σ_neo (1st element) and σ_spitzer (2nd element)\n",
+    "σ_neo     = getindex.(results, 1)\n",
+    "σ_spitzer = getindex.(results, 2)\n",
+    "\n",
+    "η_neo     = 1.0 ./ σ_neo\n",
+    "η_spitzer = 1.0 ./ σ_spitzer\n",
+    "\n",
+    "chi_sel = 1\n",
+    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo\n",
+    "\n",
+    "\n",
+    "# --- Comparison Printouts ---\n",
+    "println(\"=== Neoclassical Conductivity Comparison ===\")\n",
+    "for i in 1:length(Te_eV)\n",
+    "    println(\"Point $i (q=$(qsing[i])):\")\n",
+    "    println(\"  Julia σ_neo     : \", σ_neo[i])\n",
+    "    println(\"  Python σ_neo    : \", py_neo[i])\n",
+    "    println(\"  Julia σ_spitzer : \", σ_spitzer[i])\n",
+    "    println(\"  Python σ_spitzer: \", py_spitzer[i])\n",
+    "    println(\"  P (magnetic diff): \", P[i])\n",
+    "    println()\n",
+    "end"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
index 528ca4934..5f9dfac2a 100644
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
+++ b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
@@ -132,7 +132,7 @@
     "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
     "    p,\n",
     "    0.5,\n",
-    "    61.0, #1.0\n",
+    "    p.P_tor,\n",
     "    p.lu,\n",
     "    p.sval_r\n",
     ")"
@@ -162,7 +162,7 @@
     "Qmi = -10\n",
     "Qma = 10\n",
     "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=10000)\n",
+    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=100)\n",
     "\n",
     "println(\"Qpeak = \", Qpeak)\n",
     "println(\"maxbal = \", maximum(bal_positive))\n",
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
index 329e9dd53..d7f16a2b4 100644
--- a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
+++ b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
@@ -61,30 +61,81 @@
     "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
     "end\n",
     "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
+    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)\n",
     "    Qs = range(Qmin, Qmax; length=n)\n",
     "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
     "    bal = [x[1] for x in torque_out]\n",
     "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
     "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
     "\n",
     "    if !any(positive)\n",
-    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
+    "        @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
     "    end\n",
     "\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
+    "    # Find the highest point, then remove candidates within ΔQ of it.\n",
     "\n",
+    "    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
+    "    sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
+    "    selected = Int[]\n",
+    "    min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
     "\n",
+    "    for i in idx_maxima\n",
+    "        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
+    "            push!(selected, i)\n",
+    "        end\n",
+    "        length(selected) == 2 && break\n",
+    "    end\n",
+    "\n",
+    "    if isempty(selected)\n",
+    "        @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "\n",
+    "    idx_maxima = selected\n",
+    "\n",
+    "\n",
+    "    # Find all local maxima in the positive region\n",
+    "    #idx_positive = findall(positive)\n",
+    "    #idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
+    "    maxima = bal[idx_maxima]\n",
+    "    Qs_maxima = Qs[idx_maxima]\n",
+    "    # find index, q val and bal val of the q closest to Q_e\n",
+    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
+    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "\n",
+    "    # find index, q val and bal val of the q closest to Q_i\n",
+    "    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
+    "    q_closest_Q_i = Qs[idx_closest_Q_i]\n",
+    "    bal_closest_Q_i = bal[idx_closest_Q_i]\n",
     "    \n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    maxbal = bal_positive[i]\n",
+    "    println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
+    "    # check if 1st q_maxima is same as Q_e or Q_i from p\n",
+    "    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
+    "        if length(idx_maxima) < 2\n",
+    "            @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "        end\n",
+    "        println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
+    "        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
+    "            @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "        end\n",
+    "        idx_maximum = idx_maxima[2]\n",
+    "        maximum = bal[idx_maximum]\n",
+    "        Qmaximum = Qs[idx_maximum]\n",
+    "    else\n",
+    "        idx_maximum = idx_maxima[1]\n",
+    "        maximum = bal[idx_maximum]\n",
+    "        Qmaximum = Qs[idx_maximum]\n",
+    "    end\n",
+    "\n",
+    "    println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
     "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
+    "    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs\n",
     "end"
    ]
   },
@@ -131,9 +182,97 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=200000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Qmax = 10\n",
+    "Qmin = -10\n",
+    "positive = isfinite.(bal) .& (bal .> 0.0)\n",
+    "\n",
+    "if !any(positive)\n",
+    "    @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "end\n",
+    "\n",
+    "# Find the highest point, then remove candidates within ΔQ of it.\n",
+    "\n",
+    "idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
+    "sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
+    "selected = Int[]\n",
+    "min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
+    "\n",
+    "for i in idx_maxima\n",
+    "    if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
+    "        push!(selected, i)\n",
+    "    end\n",
+    "    length(selected) == 2 && break\n",
+    "end\n",
+    "\n",
+    "if isempty(selected)\n",
+    "    @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "end\n",
     "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
+    "idx_maxima = selected\n",
     "\n",
+    "\n",
+    "# Find all local maxima in the positive region\n",
+    "#idx_positive = findall(positive)\n",
+    "#idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
+    "maxima = bal[idx_maxima]\n",
+    "Qs_maxima = Qs[idx_maxima]\n",
+    "# find index, q val and bal val of the q closest to Q_e\n",
+    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
+    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "\n",
+    "# find index, q val and bal val of the q closest to Q_i\n",
+    "idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
+    "q_closest_Q_i = Qs[idx_closest_Q_i]\n",
+    "bal_closest_Q_i = bal[idx_closest_Q_i]\n",
+    "\n",
+    "println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
+    "# check if 1st q_maxima is same as Q_e or Q_i from p\n",
+    "if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
+    "    if length(idx_maxima) < 2\n",
+    "        @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "    println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
+    "    if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
+    "        @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
+    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
+    "    end\n",
+    "    idx_maximum = idx_maxima[2]\n",
+    "    maximum = bal[idx_maximum]\n",
+    "    Qmaximum = Qs[idx_maximum]\n",
+    "else\n",
+    "    idx_maximum = idx_maxima[1]\n",
+    "    maximum = bal[idx_maximum]\n",
+    "    Qmaximum = Qs[idx_maximum]\n",
+    "end\n",
+    "\n",
+    "println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
+    "\n",
+    "br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
+    "\n",
+    "println(Qmaximum, br_crit, idx_maximum)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
     "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
     "#br_t = brcrit\n",
@@ -174,13 +313,27 @@
     "ylabel!(p2, \"Torque\")\n",
     "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
     "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
+    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma)) #xlim=(-1.3,-.8),ylim=(375,389))#\n",
     "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "loc_max_ind= [4001, 10050, 10094, 10186, 10195, 10213, 10258, 10272, 10340, 10355, 10365, 10376, 10385, 10387, 10392, 10405, 10412, 10421, 10430, 10443, 10450, 10457, 10470, 10473, 10494, 10498, 10512, 10520, 10537, 10544, 10552, 10557, 10573, 10576, 10578, 10586, 10588, 10596, 10606, 10610, 10632, 10637, 10648, 10655, 10659, 10665, 10670, 10676, 10679, 10691, 10695, 10697, 10705, 10707, 10719, 10730, 10742, 10746, 10751, 10755, 10761, 10765, 10770, 10776, 10778, 10783, 10786, 10788, 10793, 10798, 10810, 10814, 10821, 10824, 10829, 10834, 10837, 10841, 10843, 10847, 10849, 10856, 10858, 10861, 10863, 10868, 10871, 10877, 10881, 10887, 10892, 10895, 10897, 10900, 10904, 10906, 10909, 10911, 10916, 10918, 10923, 10929, 10931, 10933, 10937, 10942, 10945, 10950, 10955, 10959, 10963, 10969, 10971, 10974, 10976, 10981, 10984, 10988, 10991, 10994, 10997, 11001, 11003, 11005, 11012, 11015, 11018, 11021, 11024, 11027, 11029, 11031, 11033, 11036, 11039, 11042, 11044, 11048, 11053, 11056, 11058, 11060, 11062, 11064, 11068, 11078, 11080, 11083, 11085, 11096, 11098, 11100, 11102, 11104, 11106, 11109, 11111, 11116, 11119, 11121, 11128, 11131, 11133, 11139, 11145, 11148, 11150, 11152, 11155, 11157, 11162, 11165, 11169, 11174, 11180, 11183, 11186, 11188, 11205, 11218, 11220, 11222, 11224, 11228, 11233, 11235, 11243, 11249, 11254, 11257, 11259, 11276, 11281, 11294, 11299, 11303, 11306, 11312, 11316, 11319, 11322, 11335, 11341, 11358, 11369, 11376, 11381, 11386, 11391, 11394, 11396, 11399, 11406, 11410, 11417, 11420, 11422, 11428, 11437, 11446, 11448, 11453, 11457, 11469, 11473, 11486, 11497, 11513, 11540, 11542, 11544, 11552, 11554, 11565, 11570, 11573, 11578, 11587, 11594, 11597, 11602, 11614, 11620, 11633, 11654, 11660, 11662, 11669, 11677, 11682, 11687, 11711, 11764, 11804, 11806, 11821, 11848, 11860, 11882, 11901, 11928, 11991, 12108]\n",
+    "#plot!(p3, Qs[loc_max_ind], bal[loc_max_ind], seriestype=:scatter, label=\"Local Maxima\", color=:red)\n",
+    "loc_mx2 = [4001, 10963, 10955, 10950, 11005]\n",
+    "#plot!(p3, Qs[loc_mx2], bal[loc_mx2], seriestype=:scatter, label=\"Local Maxima 2\", color=:green)\n",
     "ylabel!(p3, \"Torque Balance\")\n",
     "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
     "xlabel!(p3, \"Q\")\n",
     "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
     "\n",
+    "# find index, q val and bal val of the q closest to Q_e\n",
+    "println(\"Q_e: \", -tb.params.Q_e)\n",
+    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
+    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
+    "println(\"B crit: \", brcrit)\n",
+    "vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
+    "vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
+    "\n",
     "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
     "plot(p3, layout=(1,1), size=(800, 1000))"
    ]
@@ -188,20 +341,28 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
     "# compare Q_e to Q of max(bal)\n",
     "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
     "# check if |Qpeak+Q_e| < 1e-2\n",
-    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))"
+    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index fbafddc4a..cd74535ea 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -55,7 +55,7 @@ Returns the Q values, torque balance values, positive Q values, positive torque
 the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
 
-function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
     Qs = range(Qmin, Qmax; length=n)
     torque_out = [torque_balance_value(tb, q) for q in Qs]
     bal = [x[1] for x in torque_out]
@@ -63,24 +63,78 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)
     positive = isfinite.(bal) .& (bal .> 0.0)
 
     if !any(positive)
-        return Qs, bal, [0.0], [0.0], 0.0, 0.0, NaN, Δs
+        @warn "No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range."
+        return Qs, bal, NaN, NaN, NaN, Δs
     end
-    i = argmax(bal)
-    Qpeak_ind = i
-    Qpeak = Qs[i]
-    maxbal = bal[i]
 
-    Qs_positive = Qs[positive]
-    bal_positive = bal[positive]
+    # Find the highest point, then remove candidates within ΔQ of it.
+    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))
+    sort!(idx_maxima; by=i -> bal[i], rev=true)
+    selected = Int[]
+    min_ΔQ = 0.001 * abs(Qmax - Qmin)
 
-    i = argmax(bal_positive)
-    #Qpeak = Qs_positive[i]
+    for i in idx_maxima
+        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)
+            push!(selected, i)
+        end
+        length(selected) == 2 && break
+    end
 
-    #maxbal = bal_positive[i]
+    if isempty(selected)
+        @warn "No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range."
+        return Qs, bal, NaN, NaN, NaN, Δs
+    end
 
-    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))
-    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs
-end
+    idx_maxima = selected
+    maxima = bal[idx_maxima]
+    Qs_maxima = Qs[idx_maxima]
+
+    # find index, q val and bal val of the q closest to Q_e
+    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv
+    q_closest_Q_e = Qs[idx_closest_Q_e]
+    bal_closest_Q_e = bal[idx_closest_Q_e]
+
+    # find index, q val and bal val of the q closest to Q_i
+    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv
+    q_closest_Q_i = Qs[idx_closest_Q_i]
+    bal_closest_Q_i = bal[idx_closest_Q_i]
+
+    println(
+        "Local maxima indices: ",
+        idx_maxima,
+        " with values: ",
+        maxima,
+        " and corresponding Qs: ",
+        Qs_maxima,
+        " closest Q to Q_e: ",
+        q_closest_Q_e,
+        " closest Q to Q_i: ",
+        q_closest_Q_i
+    )
 
-# Need to fix and improve this function. The positive masking is not helpful.
-# Need to avoid poles from Q_e and Q_i.
+    # check if 1st q_maxima is same as Q_e or Q_i from p
+    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i
+        if length(idx_maxima) < 2
+            @warn "The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range."
+            return Qs, bal, NaN, NaN, NaN, Δs
+        end
+        println("Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.")
+        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i
+            @warn "Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range."
+            return Qs, bal, NaN, NaN, NaN, Δs
+        end
+        idx_maximum = idx_maxima[2]
+        maximum = bal[idx_maximum]
+        Qmaximum = Qs[idx_maximum]
+    else
+        idx_maximum = idx_maxima[1]
+        maximum = bal[idx_maximum]
+        Qmaximum = Qs[idx_maximum]
+    end
+
+    println("Selected local maximum index: ", idx_maximum, " with value: ", maximum, " and corresponding Q: ", Qmaximum)
+
+    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))
+
+    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs
+end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index 88e8fe091..bbf297975 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -7,6 +7,41 @@
 #
 # `CriticalResonantFieldControl` holds the user-facing knobs that drive the critical resonant field
 # analysis. Populated either directly via the `@kwdef` constructor or by parsing the `[CriticalResonantField]` section of a `gpec.toml`.
+"""
+    CriticalResonantFieldControl
+
+Configuration for the critical resonant field analysis. All fields are
+user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
+`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
+constructor.
+"""
+@kwdef struct CriticalResonantFieldControl
+    enabled::Bool = false
+    Qmin::Float64 = -10.0
+    Qmax::Float64 = 10.0
+    n::Int = 200
+    angular_momentum_diffusivity::Union{Float64,Vector{Float64}} = 1.0
+    store_scan::Bool = false
+end
+
+function critical_resonant_field_control_from_toml(section::AbstractDict)
+    flat = Dict{String,Any}()
+    for (k, v) in section
+        flat[k] = v
+    end
+
+    kwargs = Dict{Symbol,Any}()
+    for (k, v) in flat
+        sym = Symbol(k)
+        if sym in (:inner_model,)
+            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
+        else
+            kwargs[sym] = v
+        end
+    end
+
+    return CriticalResonantFieldControl(; kwargs...)
+end
 
 """
     SLAYERControl
@@ -158,6 +193,9 @@ there is one consistent interface for resistive and kinetic profiles.
     profile_group::String = "/"
 
     store_scan::Bool = false
+
+    # Critical resonant field analysis. Enabled via `[SLAYER.CriticalResonantField]` TOML section.
+    critical_resonant_field::CriticalResonantFieldControl = CriticalResonantFieldControl()
 end
 
 const _VALID_INNER_MODELS = (:slayer_fitzpatrick, :ggj_shooting, :ggj_galerkin)
@@ -227,6 +265,10 @@ function slayer_control_from_toml(section::AbstractDict)
             haskey(v, "pole_threshold") && (flat["pole_threshold"] = v["pole_threshold"])
             haskey(v, "filter_above_poles") && (flat["filter_above_poles"] = v["filter_above_poles"])
             haskey(v, "filter_outside_re") && (flat["filter_outside_re"] = v["filter_outside_re"])
+        elseif k == "CriticalResonantField" && v isa AbstractDict
+            flat["critical_resonant_field"] =
+                critical_resonant_field_control_from_toml(v)
+
         else
             flat[k] = v
         end
@@ -271,41 +313,3 @@ function slayer_control_from_toml(section::AbstractDict)
     end
     return validate(SLAYERControl(; kwargs...))
 end
-
-"""
-    CriticalResonantFieldControl
-
-Configuration for the critical resonant field analysis. All fields are
-user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
-`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
-constructor.
-"""
-@kwdef struct CriticalResonantFieldControl
-    enabled::Bool = false
-    inner_model::Symbol = :slayer_fitzpatrick
-    Qmin::Float64 = -10.0
-    Qmax::Float64 = 10.0
-    n::Int = 200
-    profile_file::String = ""
-    profile_group::String = "/"
-    store_scan::Bool = false
-end
-
-function critical_resonant_field_control_from_toml(section::AbstractDict)
-    flat = Dict{String,Any}()
-    for (k, v) in section
-        flat[k] = v
-    end
-
-    kwargs = Dict{Symbol,Any}()
-    for (k, v) in flat
-        sym = Symbol(k)
-        if sym in (:inner_model,)
-            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
-        else
-            kwargs[sym] = v
-        end
-    end
-
-    return CriticalResonantFieldControl(; kwargs...)
-end
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index 006f2d079..2ae545211 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -38,6 +38,10 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     # disjoint field sets, so readers must not have to infer it from the schema.
     attrs(g)["layer_model"] = result.enabled ? _layer_model_token(eltype(result.params)) : "none"
 
+    if result.critical_resonant_field.enabled
+        write_critical_resonant_field_hdf5!(g, result.critical_resonant_field)
+    end
+
     if !result.enabled    # nothing else to write
         _annotate_tearing!(g)
         return g
@@ -60,10 +64,7 @@ end
 function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     result::CriticalResonantFieldResult)
 
-    if !haskey(parent, "Tearing")
-        create_group(parent, "Tearing")
-    end
-    g = create_group(parent["Tearing"], "CriticalResonantField")
+    g = create_group(parent, "CriticalResonantField")
 
     g["surface_index"] = result.surface_index
     g["Qpeak"] = result.Qpeak
@@ -78,8 +79,6 @@ function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group}
             sg["Q"] = d.Q
             sg["balance"] = d.balance
             sg["delta"] = d.delta
-            sg["Q_positive"] = d.Q_positive
-            sg["balance_positive"] = d.balance_positive
             sg["Qpeak"] = d.Qpeak
             sg["br_crit"] = d.br_crit
 
diff --git a/src/Tearing/Runner/Result.jl b/src/Tearing/Runner/Result.jl
index 9132e8421..df68bb868 100644
--- a/src/Tearing/Runner/Result.jl
+++ b/src/Tearing/Runner/Result.jl
@@ -8,6 +8,37 @@
 # per-surface critical resoant field. If `control.store_scan` is true, the full Q scan data,
 # viscous torque, and electromagnetic torque are also stored for plotting.
 
+"""
+    CriticalResonantFieldResult
+
+Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
+"""
+
+struct CriticalResonantFieldResult
+    enabled::Bool
+    params::AbstractVector{<:InnerLayerParameters}
+    surface_index::Vector{Int}
+    Qpeak::Vector{Float64}
+    br_crit::Vector{Float64}
+    Q0::Vector{Float64}
+    P::Vector{Float64}
+    scan_data::Vector{NamedTuple}
+end
+
+function empty_critical_resonant_field_result()
+    return CriticalResonantFieldResult(
+        false,
+        InnerLayerParameters[],
+        Int[],
+        Float64[],
+        Float64[],
+        Float64[],
+        Float64[],
+        NamedTuple[]
+    )
+end
+
+
 """
     SLAYERResult
 
@@ -55,46 +86,18 @@ struct SLAYERResult
     coupled_extraction::Union{Nothing,GrowthRateResult}
     layer_widths::Vector{LayerWidths}
     scan_data::Vector{Union{ScanResult,AMRResult}}
+    critical_resonant_field::CriticalResonantFieldResult
 end
 
 # Empty result (enabled=false path)
 function empty_slayer_result(control::SLAYERControl)
     return SLAYERResult(false, control,
-                        SLAYERParameters[],
-                        Float64[], Float64[],
-                        zeros(ComplexF64, 0, 0),
-                        ComplexF64[], Float64[], Float64[],
-                        GrowthRateResult[], nothing,
-                        LayerWidths[],
-                        Union{ScanResult,AMRResult}[])
-end
-
-"""
-    CriticalResonantFieldResult
-
-Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
-"""
-
-struct CriticalResonantFieldResult
-    enabled::Bool
-    params::AbstractVector{<:InnerLayerParameters}
-    surface_index::Vector{Int}
-    Qpeak::Vector{Float64}
-    br_crit::Vector{Float64}
-    Q0::Vector{Float64}
-    P::Vector{Float64}
-    scan_data::Vector{NamedTuple}
-end
-
-function empty_critical_resonant_field_result()
-    return CriticalResonantFieldResult(
-        false,
-        InnerLayerParameters[],
-        Int[],
-        Float64[],
-        Float64[],
-        Float64[],
-        Float64[],
-        NamedTuple[]
-    )
+        SLAYERParameters[],
+        Float64[], Float64[],
+        zeros(ComplexF64, 0, 0),
+        ComplexF64[], Float64[], Float64[],
+        GrowthRateResult[], nothing,
+        LayerWidths[],
+        Union{ScanResult,AMRResult}[],
+        empty_critical_resonant_field_result())
 end
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index 6f11208a7..2d45b3d54 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -27,6 +27,7 @@ using LinearAlgebra
 using Statistics: mean, median
 using HDF5
 
+
 using FastInterpolations: cubic_interp
 using ..Utilities
 using ..Utilities: KineticProfiles
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 3d51d4a11..9f1a686d1 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -314,7 +314,7 @@ function run_slayer_from_inputs(params::AbstractVector{<:InnerLayerParameters},
     return SLAYERResult(true, control, params, rational_psi, rational_q, dp,
         Q_root, omega_Hz, gamma_Hz,
         per_surface_extraction, coupled_extraction,
-        layer_widths, scan_data_list)
+        layer_widths, scan_data_list, empty_critical_resonant_field_result())
 end
 
 # ---------------------------------------------------------------------
@@ -346,6 +346,115 @@ function ggj_inner_deltas(params::AbstractVector{GGJParameters}, Q::Number;
     end
     return out
 end
+# ---------------------------------------------------------------------
+# Critical Resonant Field (Torque-Balance) Workflow
+# ---------------------------------------------------------------------
+"""
+    Critical Resonant Field (Torque-Balance) Workflow
+
+    The critical resonant field is the minimum resonant magnetic perturbation
+    amplitude that can drive a tearing mode unstable.
+
+    Returns a `CriticalResonantFieldResult` containing the critical resonant field
+    and the corresponding critical resoannt field values for each rational surface.
+"""
+
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing)
+    ctrl.enabled || return empty_critical_resonant_field_result()
+
+    profiles === nothing &&
+        throw(ArgumentError(
+            "CriticalResonantField requires kinetic profiles."
+        ))
+
+    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
+        slayer_result.params
+    else
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+    end
+
+    all(p -> p isa SLAYERParameters, params) ||
+        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+
+    surface_index = Int[]
+    Qpeak_vec = Float64[]
+    br_vec = Float64[]
+    Q0_vec = Float64[]
+    P_vec = Float64[]
+    scan_data = NamedTuple[]
+    # check if angular_momentum_diffusivity is list or value
+
+    if isa(ctrl.angular_momentum_diffusivity, AbstractArray)
+        chi_vec = ctrl.angular_momentum_diffusivity
+    else
+        chi_vec = fill(ctrl.angular_momentum_diffusivity, length(params))
+    end
+
+    for (isurf, p) in enumerate(params)
+        psi_here = intr[isurf].psifac
+        omega_here = profiles(psi_here).omega
+        Q0_here = p.tauk * omega_here
+        eta_here = p.eta # resistivity at the rational surface
+        chi_here = chi_vec[isurf] # angular momentum diffusivity at the rational surface
+
+        # Note, P = τ_R / τ_V (Cole PoP 2006), τ_R = μ₀ r_s² / η, τ_V = ρ r_s² / μ
+        # Therefore, P = τ_R / τ_V = μ₀ μ / (η ρ), and with χ_φ = μ / ρ, P = μ₀ χ_φ / η
+
+        P_here = (4π * 1e-7) .* abs.(chi_here) ./ eta_here
+
+        if P_here < 1
+            @warn("CriticalResonantField: P < 1 at surface $isurf (P = $P_here). The model is invalid for P < 1.")
+        end
+
+        tb = TorqueBalance(
+            SLAYERModel{:fitzpatrick}(),
+            p,
+            Q0_here,
+            P_here,
+            p.lu,
+            p.sval_r
+        )
+
+        Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
+            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+
+        push!(surface_index, isurf)
+        push!(Qpeak_vec, Qpeak)
+        push!(br_vec, br_crit)
+        push!(Q0_vec, Q0_here)
+        push!(P_vec, P_here)
+
+        scan_entry = (
+            surface=isurf,
+            Q=collect(Qs),
+            balance=collect(bal),
+            delta=collect(Δs),
+            Qpeak=Qpeak,
+            br_crit=br_crit,
+            Q0=Q0_here,
+            P=P_here,
+            lu=p.lu,
+            sval=p.sval_r,
+            m=p.m,
+            n=p.n,
+            params=p
+        )
+        push!(scan_data, scan_entry)
+
+    end
+
+    return CriticalResonantFieldResult(
+        true,
+        params,
+        surface_index,
+        Qpeak_vec,
+        br_vec,
+        Q0_vec,
+        P_vec,
+        scan_data
+    )
+end
+
 
 # ---------------------------------------------------------------------
 # Full pipeline: equilibrium + ForceFreeStates → parameters → analysis
@@ -453,96 +562,30 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
 
     rational_psi = Float64[surfaces[p.ising].psifac for p in params]
     rational_q = Float64[surfaces[p.ising].q for p in params]
-    return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
-end
-
-# ---------------------------------------------------------------------
-# Critical Resonant Field (Torque-Balance) Workflow
-# ---------------------------------------------------------------------
-"""
-    Critical Resonant Field (Torque-Balance) Workflow
-
-    The critical resonant field is the minimum resonant magnetic perturbation
-    amplitude that can drive a tearing mode unstable.
-
-    Returns a `CriticalResonantFieldResult` containing the critical resonant field
-    and the corresponding critical resoannt field values for each rational surface.
-"""
-
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing)
-    ctrl.enabled || return empty_critical_resonant_field_result()
-
-    profiles = load_kinetic_profiles(joinpath(dir_path, ctrl.profile_file))
-
-    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
-        slayer_result.params
-    else
-        build_slayer_inputs(equil, intr.sing, profiles)
-    end
-
-    all(p -> p isa SLAYERParameters, params) ||
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
-
-    surface_index = Int[]
-    Qpeak_vec = Float64[]
-    br_vec = Float64[]
-    Q0_vec = Float64[]
-    P_vec = Float64[]
-    scan_data = NamedTuple[]
-
-    for (isurf, p) in enumerate(params)
-        psi_here = intr.sing[isurf].psifac
-        omega_here = profiles(psi_here).omega
-        Q0_here = p.tauk * omega_here
-        P_here = 1.0
-
-        tb = TorqueBalance(
-            SLAYERModel{:fitzpatrick}(),
-            p,
-            Q0_here,
-            P_here,
-            p.lu,
-            p.sval_r
+    # include critical resonant filed workflow here
+    if control.critical_resonant_field.enabled
+        slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
+        crf_result = run_critical_resonant_field(equil, surfaces, control.critical_resonant_field;
+            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles)
+        combined_result = SLAYERResult(
+            slayer_result.enabled,
+            slayer_result.control,
+            slayer_result.params,
+            slayer_result.rational_psi,
+            slayer_result.rational_q,
+            slayer_result.dp_matrix,
+            slayer_result.Q_root,
+            slayer_result.omega_Hz,
+            slayer_result.gamma_Hz,
+            slayer_result.per_surface_extraction,
+            slayer_result.coupled_extraction,
+            slayer_result.layer_widths,
+            slayer_result.scan_data,
+            crf_result
         )
-
-        Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs =
-            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
-
-        push!(surface_index, isurf)
-        push!(Qpeak_vec, Qpeak)
-        push!(br_vec, br_crit)
-        push!(Q0_vec, Q0_here)
-        push!(P_vec, P_here)
-
-        scan_entry = (
-            surface=isurf,
-            Q=collect(Qs),
-            balance=collect(bal),
-            delta=collect(Δs),
-            Q_positive=collect(Qs_positive),
-            balance_positive=collect(bal_positive),
-            Qpeak=Qpeak,
-            br_crit=br_crit,
-            Q0=Q0_here,
-            P=P_here,
-            lu=p.lu,
-            sval=p.sval_r,
-            m=p.m,
-            n=p.n,
-            params=p
-        )
-        push!(scan_data, scan_entry)
-
+        @info("SLAYER: critical resonant field workflow completed; " *
+              "critical br values for each rational surface are available in the result.")
+        return combined_result
     end
-
-    return CriticalResonantFieldResult(
-        true,
-        params,
-        surface_index,
-        Qpeak_vec,
-        br_vec,
-        Q0_vec,
-        P_vec,
-        scan_data
-    )
+    return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
 end

From fbacf333c2312537a76b336d4a0cdff79c71c059 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Thu, 20 Aug 2026 14:07:27 -0400
Subject: [PATCH 07/14] Full working bcrit intial implementation

---
 .gitignore                                    |   2 +
 .../gpec.toml                                 |  20 +-
 .../slayer_ex.ipynb                           | 394 ++++++++++
 .../DIIID-like_SLAYER_example/slayer_ex.ipynb | 266 -------
 .../CRF Dev/P_eta_calc.ipynb                  | 279 -------
 .../CriticalResonantField/CRF Dev/b_crit.jls  | Bin 74 -> 0 bytes
 .../CRF Dev/bcrit_dev.ipynb                   | 724 ------------------
 .../CRF Dev/bcrit_dev_ggj.ipynb               | 298 -------
 .../CRF Dev/bcrit_numerics.ipynb              | 122 ---
 .../CriticalResonantField/CRF Dev/gslayer.txt | 466 -----------
 .../CRF Dev/pole_testing.ipynb                | 395 ----------
 .../CRF Dev/sample_number.jls                 | Bin 68 -> 0 bytes
 .../CriticalResonantField.jl                  |   1 +
 .../CriticalResonantField/TorqueBalance.jl    |  35 +-
 src/Tearing/Runner/Control.jl                 |   3 +-
 src/Tearing/Runner/run_slayer.jl              | 115 ++-
 16 files changed, 511 insertions(+), 2609 deletions(-)
 rename examples/{DIIID-like_SLAYER_example => DIIID-like_SLAYER_and_bcrit_example}/gpec.toml (84%)
 create mode 100644 examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
 delete mode 100644 examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
 delete mode 100644 src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls

diff --git a/.gitignore b/.gitignore
index fcb3cc96c..8f463f94f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -38,3 +38,5 @@ scratch/
 
 # Local profiling scratch (one-off study scripts, not part of the package)
 profiling/
+examples/b_crit_standalone_example/
+src/Tearing/CriticalResonantField/CRF Dev/
diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
similarity index 84%
rename from examples/DIIID-like_SLAYER_example/gpec.toml
rename to examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
index 618372d02..b00fad0cc 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
@@ -1,7 +1,7 @@
-# DIII-D-like SLAYER tearing-mode growth-rate example.
+# DIII-D-like SLAYER tearing-mode growth-rate example with Critical Resonant Field calculations.
 # Reuses the equilibrium and H-mode kinetic profiles of the sibling
 # DIIID-like_ideal_example (geqdsk referenced by relative path; not
-# duplicated). Runs equilibrium + ForceFreeStates + SLAYER and skips
+# duplicated). Runs equilibrium + ForceFreeStates + SLAYER + CriticalResonantField and skips
 # PerturbedEquilibrium (ForceFreeStates.force_termination = true).
 
 [Equilibrium]
@@ -87,11 +87,11 @@ Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
 
-[SLAYER.CriticalResonantField]
-# CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
-enabled = true # Run CriticalResonantField analysis
-Qmin = -10 # Minimum rotation scanned
-Qmax = 10 # Maximum rotation scanned
-n = 200 # Number of rotation points scanned
-angular_momentum_diffusivity = [1.0,1.0,1.0,1.0,1.0,1.0] # Toroidal momentum diffusivity (if nothing, falls back on chi_perp ~ chi_e, electron thermal diffusivity)
-store_scan = true # Per surface torque and inner layer quantities
+[SLAYER.CriticalResonantField]                          # CriticalResonantField used to find the critical resonant field sufficent for tearing onset at each rational surface.
+enabled = true                                          # Run CriticalResonantField analysis
+Qmin = -10                                              # Minimum normalized rotation scanned
+Qmax = 10                                               # Maximum normalized rotation scanned
+n = 2000                                                # Number of rotation points scanned
+viscous_input_type = "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+viscous_input = 1                                       # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either an array across q surfaces, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
+store_scan = true                                       # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
new file mode 100644
index 000000000..ed88780dd
--- /dev/null
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -0,0 +1,394 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.build(\"GeneralizedPerturbedEquilibrium\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
+    "Base.active_project()\n",
+    "\n",
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using Printf\n",
+    "\n",
+    "using Plots\n",
+    "default(\n",
+    "    fontfamily=\"Georgia\",\n",
+    "    margin=12Plots.mm,\n",
+    "    size=(800, 500),\n",
+    "    dpi=150\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.h5\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using HDF5\n",
+    "\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    println(\"Top-level keys:\")\n",
+    "    println(collect(keys(file)))\n",
+    "\n",
+    "    if haskey(file, \"Tearing\")\n",
+    "        println(\"\\nKeys in Tearing:\")\n",
+    "        println(collect(keys(file[\"Tearing\"])))\n",
+    "\n",
+    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
+    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing group found.\")\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print the contents of the Tearing/CriticalResonantField group\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
+    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
+    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
+    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
+    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
+    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
+    "            # print data \n",
+    "            if isa(dataset, HDF5.Dataset)\n",
+    "                data = read(dataset)\n",
+    "                println(\"Data: $data\")\n",
+    "            end\n",
+    "        end\n",
+    "    else\n",
+    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
+    "    end\n",
+    "    # Print bcrit data as .2e (in one line)\n",
+    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
+    "end\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "function bcrit_diag_plots(Δs, Qs, bal, name)\n",
+    "\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
+    "\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
+    "\n",
+    "    plot(p1, p2, layout=(2,1), size=(500, 700))\n",
+    "\n",
+    "\n",
+    "end\n",
+    "\n",
+    "function plot_all_vs_rational_q(h5path)\n",
+    "    h5open(h5path, \"r\") do file\n",
+    "        tearing = file[\"Tearing\"]\n",
+    "        crf = tearing[\"CriticalResonantField\"]\n",
+    "        scan = crf[\"Scan\"]\n",
+    "\n",
+    "        rational_q = read(tearing[\"PerSurface\"][\"rational_q\"])\n",
+    "        bcrit = read(crf[\"br_crit\"])\n",
+    "        bal = [read(scan[\"surface_$(i)\"][\"balance\"]) for i in eachindex(rational_q)]\n",
+    "        P = [read(scan[\"surface_$(i)\"][\"P\"]) for i in eachindex(rational_q)]\n",
+    "        lu = [read(scan[\"surface_$(i)\"][\"lu\"]) for i in eachindex(rational_q)]\n",
+    "        sval = [read(scan[\"surface_$(i)\"][\"sval\"]) for i in eachindex(rational_q)]\n",
+    "        Q0 = [read(scan[\"surface_$(i)\"][\"Q0\"]) for i in eachindex(rational_q)]\n",
+    "        max_balance = maximum.(bal)\n",
+    "\n",
+    "        fig = plot(layout=(3, 2), size=(1000, 1200))\n",
+    "        plot!(fig[1], rational_q, bcrit; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Critical Resonant Field (T)\", legend=false)\n",
+    "        plot!(fig[2], rational_q, max_balance; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Maximum (Torque Balance)\", legend=false)\n",
+    "        plot!(fig[3], rational_q, P; marker=:circle,  lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"P\", legend=false)\n",
+    "        plot!(fig[4], rational_q, lu; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Lundquist Number\", legend=false)\n",
+    "        plot!(fig[5], rational_q, sval; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Magnetic Shear\", legend=false)\n",
+    "        plot!(fig[6], rational_q, Q0; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Q0\", legend=false)\n",
+    "\n",
+    "        display(fig)\n",
+    "        #return fig\n",
+    "    end\n",
+    "end\n",
+    "\n",
+    "plot_all_vs_rational_q(h5path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using GeneralizedPerturbedEquilibrium\n",
+    "using GeneralizedPerturbedEquilibrium: Analysis\n",
+    "using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
+    "    SLAYERModel, SLAYERParameters, slayer_parameters\n",
+    "using GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField: TorqueBalance, torque_balance_value, torque_balance_scan\n",
+    "\n",
+    "surface_num = 5\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    sval_r = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"sval\"])\n",
+    "    Q0 = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q0\"])\n",
+    "    m = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"m\"])\n",
+    "    n = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"n\"])\n",
+    "    qval = m/n\n",
+    "    Q_e = read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]\n",
+    "    Q_i = read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]\n",
+    "    lu = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"lu\"])\n",
+    "    rs = read(file[\"Tearing\"][\"PerSurface\"][\"rs\"])[surface_num]\n",
+    "    P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"P\"])\n",
+    "\n",
+    "    p = slayer_parameters( # Call slayer_parameters function to instantiate slab parameters\n",
+    "        n_e=1e19, t_e=1e3, t_i=1e3,\n",
+    "        omega=0.0, omega_e=40, omega_i=-20,\n",
+    "        qval=qval, sval_r=sval_r, bt=2.0, rs=rs, R0=3.0, mu_i=2.0, zeff=1.0,\n",
+    "        chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
+    "    )\n",
+    "    p = SLAYERParameters( # Modify the created SLAYERParameters struct to modify electron and ion diamagnetic resonance frequencies\n",
+    "        ising=p.ising,\n",
+    "        m=p.m, n=p.n,\n",
+    "        tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
+    "        P_perp=p.P_perp, P_tor=p.P_tor,\n",
+    "        Q_e=Q_e, Q_i=Q_i, iota_e=p.iota_e,\n",
+    "        tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
+    "        rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
+    "        dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
+    "        eta=p.eta, d_beta=p.d_beta,\n",
+    "        dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
+    "    )\n",
+    "\n",
+    "    tb = TorqueBalance( # Generate a TorqueBalance struct using the default (Fitzpatrick) SLAYERModel and the modified SLAYERParameters\n",
+    "        SLAYERModel(;),\n",
+    "        p, # Slayer Parameters struct\n",
+    "        Q0, # Normalized rotation Q\n",
+    "        P, # Magnetic Prandtl number\n",
+    "        p.lu, # Lundquist Number\n",
+    "        p.sval_r # r-based magnetic shear\n",
+    "    )\n",
+    "    Qmin = -.2\n",
+    "    Qmax = .2\n",
+    "    Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmin, Qmax=Qmax, n=1000) # Run actual torque balance scan, finds inner-layer delta across Q vals\n",
+    "\n",
+    "\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
+    "    T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
+    "    i = Qpeak_ind\n",
+    "    println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
+    "    println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
+    "    println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
+    "\n",
+    "    #T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
+    "    #T_visc ∝ 2 P (Q0 − Q)\n",
+    "\n",
+    "\n",
+    "    xmi = Qmin\n",
+    "    xma = Qmax\n",
+    "\n",
+    "    \"\"\"\n",
+    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
+    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Δ\")\n",
+    "    #title!(p1, \"Inner-layer Δ(Q)\")\n",
+    "    \"\"\"\n",
+    "\n",
+    "    p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
+    "    plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "    xlabel!(p1, \"Q\")\n",
+    "    ylabel!(p1, \"Torque\")\n",
+    "\n",
+    "    #p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
+    "    plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
+    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"Torque\")\n",
+    "\n",
+    "    p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma),ylim=(-1e-2,1e-2))\n",
+    "    plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    ylabel!(p3, \"Torque Balance\")\n",
+    "    xlabel!(p3, \"Q\")\n",
+    "    vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
+    "\n",
+    "    # find index, q val and bal val of the q closest to Q_e\n",
+    "    println(\"Q_e: \", -tb.params.Q_e)\n",
+    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
+    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
+    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
+    "    println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
+    "    println(\"B crit: \", brcrit)\n",
+    "    vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
+    "    vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
+    "\n",
+    "    #plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
+    "    plot(p3, layout=(1,1))#, size=(800, 1000))\n",
+    "\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot jxb vs Qs for surface 1\n",
+    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "surface_num = 5\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
+    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
+    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
+    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
+    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
+    "    xlabel!(\"Q\")\n",
+    "    ylabel!(\"jxb\")\n",
+    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
+    "    println(\"max of balance: \", maximum(bal))\n",
+    "    println(\"max of jxb: \", maximum(jxbs))\n",
+    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
+    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
+    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
+    "    # plot balance vs q with bcrit as vertical line\n",
+    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2,xlim=(-.2,.2),ylim=(-1e-2,1e-2))\n",
+    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
+    "    xlabel!(p2, \"Q\")\n",
+    "    ylabel!(p2, \"balance\")\n",
+    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
+    "    #vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
+    "    # add Q_e as vertical line\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
+    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"])[surface_num]], label=\"Qpeak\", lw=2, lc=:orange)\n",
+    "    #display(aplot)\n",
+    "    display(p2)\n",
+    "\n",
+    "end\n",
+    "\n",
+    "\"\"\"\n",
+    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
+    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
+    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot bcrit vs q surface\n",
+    "\n",
+    "# print all contents of bcrit /scan /surface 1/\n",
+    "h5open(h5path, \"r\") do file\n",
+    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
+    "\n",
+    "    for i in 1:6\n",
+    "        ss = \"surface_$i\"\n",
+    "\n",
+    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
+    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
+    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
+    "\n",
+    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
+    "    end\n",
+    "end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
+    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
+    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
+    "\n",
+    "display(p_eq)\n",
+    "display(p_ffs)\n",
+    "#display(p_pe)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
deleted file mode 100644
index 710608340..000000000
--- a/examples/DIIID-like_SLAYER_example/slayer_ex.ipynb
+++ /dev/null
@@ -1,266 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using Printf\n",
-    "\n",
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_example/gpec.h5\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using HDF5\n",
-    "\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    println(\"Top-level keys:\")\n",
-    "    println(collect(keys(file)))\n",
-    "\n",
-    "    if haskey(file, \"Tearing\")\n",
-    "        println(\"\\nKeys in Tearing:\")\n",
-    "        println(collect(keys(file[\"Tearing\"])))\n",
-    "\n",
-    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
-    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing group found.\")\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Print the contents of the Tearing/CriticalResonantField group\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
-    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
-    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
-    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
-    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
-    "            # print data \n",
-    "            if isa(dataset, HDF5.Dataset)\n",
-    "                data = read(dataset)\n",
-    "                println(\"Data: $data\")\n",
-    "            end\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
-    "    end\n",
-    "    # Print bcrit data as .2e (in one line)\n",
-    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
-    "end\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(keys(h5open(h5path, \"r\")[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_1\"]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "function bcrit_diag_plots(Δs, Qs, bal,name)\n",
-    "\n",
-    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Δ\")\n",
-    "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
-    "\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - $name\")\n",
-    "\n",
-    "    plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
-    "\n",
-    "\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print all P values\n",
-    "println(\"\\nP values for each surface in the scan:\")\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
-    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
-    "            println(\"Surface $i: P = $(join([@sprintf(\"%.2e\", x) for x in P], \" \"))\")\n",
-    "        else\n",
-    "            println(\"Surface $i: No data found.\")\n",
-    "        end\n",
-    "    end\n",
-    "end\n",
-    "# want to print chi_tor for each surface in the scan, need to use P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo, so chi_sel = P * η_neo / (4π * 1e-7)\n",
-    "println(\"\\nchi_tor values for each surface in the scan:\")\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "        if haskey(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"], ss)\n",
-    "            P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][ss][\"P\"])\n",
-    "            η_neo = read(file[\"Tearing\"][\"PerSurface\"][\"eta\"])\n",
-    "            chi_tor = P .* η_neo[i] ./ (4π * 1e-7)\n",
-    "            println(\"Surface $i: chi_tor = $(join([@sprintf(\"%.2e\", x) for x in chi_tor], \" \"))\")   \n",
-    "        else\n",
-    "            println(\"Surface $i: No data found.\")\n",
-    "        end\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# plot jxb vs Qs for surface 1\n",
-    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "surface_num = 2\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
-    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
-    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    xlabel!(\"Q\")\n",
-    "    ylabel!(\"jxb\")\n",
-    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
-    "    println(\"max of balance: \", maximum(bal))\n",
-    "    println(\"max of jxb: \", maximum(jxbs))\n",
-    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
-    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
-    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
-    "    # plot balance vs q with bcrit as vertical line\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
-    "    # add Q_e as vertical line\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
-    "\n",
-    "    display(aplot)\n",
-    "    display(p2)\n",
-    "\n",
-    "end\n",
-    "\n",
-    "\"\"\"\n",
-    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
-    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
-    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plot bcrit vs q surface\n",
-    "\n",
-    "# print all contents of bcrit /scan /surface 1/\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
-    "\n",
-    "    for i in 1:6\n",
-    "        ss = \"surface_$i\"\n",
-    "\n",
-    "        delta  = read(bcrit[\"Scan\"][ss][\"delta\"])\n",
-    "        Q      = read(bcrit[\"Scan\"][ss][\"Q\"])\n",
-    "        balance = read(bcrit[\"Scan\"][ss][\"balance\"])\n",
-    "\n",
-    "        display(bcrit_diag_plots(delta, Q, balance, \"surface_$i\"))\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
-    "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
-    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
-    "\n",
-    "display(p_eq)\n",
-    "display(p_ffs)\n",
-    "#display(p_pe)"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb
deleted file mode 100644
index 0639317bd..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/P_eta_calc.ipynb	
+++ /dev/null
@@ -1,279 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "\n",
-    "using Plots\n",
-    "using Printf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Minimal Julia implementation of the `neo_2021` branch.\n",
-    "\n",
-    "# Inputs:\n",
-    "#   Te     : electron temperature [eV]\n",
-    "#   ne     : electron density [m^-3]\n",
-    "#   Ti     : ion temperature [eV]\n",
-    "#   q      : safety factor\n",
-    "#   eps    : inverse aspect ratio\n",
-    "#   R      : major radius [m]\n",
-    "#   fT     : trapped-particle fraction\n",
-    "#   Zeff   : effective charge\n",
-    "\n",
-    "# Output:\n",
-    "#   σ_spitzer : Spitzer conductivity [1/(Ω m)]\n",
-    "#   σ_neo     : Redl 2021 neoclassical conductivity [1/(Ω m)]\n",
-    "\n",
-    "# All inputs can be scalars or arrays of the same size.\n",
-    "\n",
-    "function neoclassical_conductivity(\n",
-    "    Te, ne, Ti, q, eps, R, fT, Zeff;\n",
-    "    version = :neo_2021,\n",
-    ")\n",
-    "\n",
-    "    # Coulomb logarithms\n",
-    "    lnΛe = 23.5 .-\n",
-    "           log.(sqrt.(ne ./ 1e6) .* Te.^(-5/4)) .-\n",
-    "           sqrt.(1e-5 .+ (log.(Te) .- 2).^2 ./ 16)\n",
-    "\n",
-    "    # Ion density.\n",
-    "    #\n",
-    "    # For the simple D + C model used in the original code:\n",
-    "    #     n_i = n_main + n_imp\n",
-    "    #\n",
-    "    # If only Zeff is supplied, the original function uses\n",
-    "    #     n_i = ne / Zeff\n",
-    "    ni = ne ./ Zeff\n",
-    "\n",
-    "    # With only Zeff available, Zdom = 1, giving\n",
-    "    Zdom = 1.0\n",
-    "\n",
-    "    # Average ion charge\n",
-    "    Zavg = ne ./ ni\n",
-    "\n",
-    "    # Koh effective ion charge\n",
-    "    Zion = (Zdom^2 .* Zavg .* Zeff).^(1/4)\n",
-    "\n",
-    "    # Ion Coulomb logarithm\n",
-    "    lnΛi = 30.0 .-\n",
-    "           log.(Zion.^3 .* sqrt.(ni) ./ Ti.^1.5)\n",
-    "\n",
-    "    # Prevent pathological negative electron Coulomb logarithms\n",
-    "    lnΛe_min = minimum(lnΛe[lnΛe .> 0])\n",
-    "    lnΛe = max.(lnΛe, lnΛe_min)\n",
-    "\n",
-    "    # Avoid eps = 0\n",
-    "    eps_nz = copy(eps)\n",
-    "    if any(eps .== 0)\n",
-    "        eps_nz[eps .== 0] .= minimum(eps[eps .!= 0])\n",
-    "    end\n",
-    "\n",
-    "    # Electron collisionality, Eq. 18b\n",
-    "    νe_star = 6.921e-18 .* abs.(q) .* R .* ne .* Zeff .* lnΛe ./\n",
-    "              (Te.^2 .* eps_nz.^1.5)\n",
-    "\n",
-    "    # Ion collisionality, Eq. 18c\n",
-    "    νi_star = 4.90e-18 .* abs.(q) .* R .* ni .* Zion.^4 .* lnΛi ./\n",
-    "              (Ti.^2 .* eps_nz.^1.5)\n",
-    "\n",
-    "    # Sauter Eq. 18a\n",
-    "    NZ(Z) = 0.58 + 0.74 ./ (0.76 + Z)\n",
-    "\n",
-    "    σ_spitzer = 1.9012e4 .* Te.^1.5 ./\n",
-    "                (Zeff .* NZ(Zeff) .* lnΛe)\n",
-    "\n",
-    "    # Redl 2021, Eq. 18\n",
-    "    f33teff = fT ./ (\n",
-    "        1 .+\n",
-    "        0.25 .* (1 .- 0.7 .* fT) .* sqrt.(νe_star) .*\n",
-    "        (1 .+ 0.45 .* sqrt.(Zeff .- 1)) .+\n",
-    "        0.61 .* (1 .- 0.41 .* fT) .* νe_star ./ sqrt.(Zeff)\n",
-    "    )\n",
-    "\n",
-    "    # Redl 2021, Eq. 17\n",
-    "    F33 = 1 .-\n",
-    "          (1 .+ 0.21 ./ Zeff) .* f33teff .+\n",
-    "          0.54 ./ Zeff .* f33teff.^2 .-\n",
-    "          0.33 ./ Zeff .* f33teff.^3\n",
-    "\n",
-    "    σ_neo = σ_spitzer .* F33\n",
-    "\n",
-    "    return σ_neo, σ_spitzer\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "function calc_resistivity_P(chi, ne, Te, Zeff, q, eps, R, fT, volume;\n",
-    "                            model=:neoclassical)\n",
-    "    cond = neoclassical_conductivity(\n",
-    "        Te=Te,\n",
-    "        ne=ne,\n",
-    "        Ti=Te,\n",
-    "        Zeff=Zeff,\n",
-    "        q=q,\n",
-    "        eps=eps,\n",
-    "        R=R,\n",
-    "        fT=fT,\n",
-    "        volume=volume,\n",
-    "        version=:neo_2021,\n",
-    "    )\n",
-    "\n",
-    "    σ = model == :neoclassical ?\n",
-    "        cond.neoclassical_conductivity :\n",
-    "        cond.spitzer_conductivity\n",
-    "\n",
-    "    η = 1 ./ σ\n",
-    "    P = (4π * 1e-7) .* abs.(chi) ./ η\n",
-    "\n",
-    "    return η, P\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
-    "    Te_eV,\n",
-    "    ne_sel,\n",
-    "    Te_eV,       # Ti = Te\n",
-    "    qsing,\n",
-    "    eps_sel,\n",
-    "    R_sel,\n",
-    "    fT_sel;\n",
-    "    Zeff=zeff_sel,\n",
-    ")\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "σ_neo, σ_spitzer = neoclassical_conductivity(\n",
-    "    106.211805100300,      # Te [eV]\n",
-    "    1.005827348013049e19,  # ne [m^-3]\n",
-    "    106.211805100300,      # Ti [eV]\n",
-    "    6.00000000000048,      # q\n",
-    "    0.771873939341347 / 1.74333594120074,  # eps = rs / R0\n",
-    "    1.74333594120074,      # R [m]\n",
-    "    1, #fT;                    # trapped fraction\n",
-    "    1.80427095488192, # Zeff\n",
-    ")\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "chi_sel = 1\n",
-    "\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using LinearAlgebra # or relevant module providing neoclassical_conductivity\n",
-    "\n",
-    "# --- Set 1 Inputs (5 radial points) ---\n",
-    "Te_eV   = [718.04269217, 342.58020426, 188.39435197, 95.70267912, 44.04668565] # Te and Ti [eV]\n",
-    "ne_sel  = [1.98796958e19, 1.80371630e19, 1.55527262e19, 1.23649097e19, 8.97867646e18] # ne [m^-3]\n",
-    "zeff_sel = [1.65619282, 1.64427584, 1.58198407, 1.55990923, 1.68572562] # Zeff\n",
-    "qsing   = [2.0, 3.0, 4.0, 5.0, 6.0] # q\n",
-    "eps_sel = [0.22284171, 0.28956909, 0.32302672, 0.34432513, 0.35141583] # eps = r/R\n",
-    "R_sel   = [1.72151657, 1.70693349, 1.69832026, 1.69192129, 1.68947514] # R [m]\n",
-    "fT_sel  = [0.6127298, 0.66890766, 0.68553652, 0.68355803, 0.67414449] # Trapped fraction fT\n",
-    "\n",
-    "# Reference values from Python NCLASS run (for validation)\n",
-    "py_neo     = [7683580.66632273, 3011088.07938057, 1644303.89021149, 782055.27991453, 274193.4323623]\n",
-    "py_spitzer = [16324797.88300323, 5666135.22162908, 2468477.31865855, 941040.7938515, 290205.76181926]\n",
-    "\n",
-    "# --- Run Neoclassical Conductivity in Julia ---\n",
-    "# Broadcasting across all 5 radial positions:\n",
-    "σ_neo, σ_spitzer = neoclassical_conductivity.(\n",
-    "    Te_eV,    # Te [eV]\n",
-    "    ne_sel,   # ne [m^-3]\n",
-    "    Te_eV,    # Ti [eV] (assumed Ti = Te)\n",
-    "    qsing,    # q\n",
-    "    eps_sel,  # eps\n",
-    "    R_sel,    # R [m]\n",
-    "    fT_sel,   # trapped fraction fT\n",
-    "    zeff_sel  # Zeff\n",
-    ")\n",
-    "\n",
-    "# Collect tuple outputs into a vector of tuples\n",
-    "results = [\n",
-    "    neoclassical_conductivity(\n",
-    "        Te_eV[i], ne_sel[i], Te_eV[i], qsing[i], \n",
-    "        eps_sel[i], R_sel[i], fT_sel[i], zeff_sel[i]\n",
-    "    ) for i in 1:length(Te_eV)\n",
-    "]\n",
-    "\n",
-    "# Extract σ_neo (1st element) and σ_spitzer (2nd element)\n",
-    "σ_neo     = getindex.(results, 1)\n",
-    "σ_spitzer = getindex.(results, 2)\n",
-    "\n",
-    "η_neo     = 1.0 ./ σ_neo\n",
-    "η_spitzer = 1.0 ./ σ_spitzer\n",
-    "\n",
-    "chi_sel = 1\n",
-    "P = (4π * 1e-7) .* abs.(chi_sel) ./ η_neo\n",
-    "\n",
-    "\n",
-    "# --- Comparison Printouts ---\n",
-    "println(\"=== Neoclassical Conductivity Comparison ===\")\n",
-    "for i in 1:length(Te_eV)\n",
-    "    println(\"Point $i (q=$(qsing[i])):\")\n",
-    "    println(\"  Julia σ_neo     : \", σ_neo[i])\n",
-    "    println(\"  Python σ_neo    : \", py_neo[i])\n",
-    "    println(\"  Julia σ_spitzer : \", σ_spitzer[i])\n",
-    "    println(\"  Python σ_spitzer: \", py_spitzer[i])\n",
-    "    println(\"  P (magnetic diff): \", P[i])\n",
-    "    println()\n",
-    "end"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls b/src/Tearing/CriticalResonantField/CRF Dev/b_crit.jls
deleted file mode 100644
index dcd8e2611787cf2ae06b76a1ee64426e4009ac8a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 74
zcmXr_@{wa<U|<k+d&c)g(D89Ef4DtgVP-T}{No6FzOW;P4Uz(p_IzuOom^-OVw82i
Y+3NvfNF32K2m~>LoNTscITzal0AxrQ1ONa4

diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb
deleted file mode 100644
index 5f9dfac2a..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev.ipynb	
+++ /dev/null
@@ -1,724 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    alpha = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ+ alpha))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=200)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    #bal = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        return Qs, bal, NaN, NaN, 0.0, NaN, NaN, Δs\n",
-    "    end\n",
-    "    i = argmax(bal)\n",
-    "    Qpeak_ind = i\n",
-    "    Qs_positive = Qs[positive]\n",
-    "    bal_positive = bal[positive]\n",
-    "\n",
-    "    i = argmax(bal_positive)\n",
-    "    Qpeak = Qs_positive[i]\n",
-    "    \n",
-    "    maxbal = bal_positive[i]\n",
-    "\n",
-    "    br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "    return Qs, bal, Qs_positive, bal_positive, Qpeak, br_crit, Qpeak_ind, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=0.818, Q_i=-0.543, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "p2 = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "p = p2\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    p.P_tor,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "Qmi = -10\n",
-    "Qma = 10\n",
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmi, Qmax=Qma, n=100)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
-    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
-    "for i in z_inds\n",
-    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
-    "end\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\n",
-    "\n",
-    "p5 = plot(Qs, bal, lw=2, label=\"balance\",xlim=(Qs[z_inds[1]],Qs[z_inds[2]]))#,ylim=(-40, 40))#, xlim = (-.11,-.09))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-5,2))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "vline!([-3], linestyle=:dashdot)\n",
-    "vline!([-2], linestyle=:dashdot)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "vline!([0.499], linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δ\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
-    "jxb0 = -imag(1.0 ./ (Δs))\n",
-    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue)#, xlim = (-.11,-.09),ylim=(-500,500))\n",
-    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\n",
-    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue)#, xlim = (-.11,-.09))\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qs[], Qmax=Qs[zin], n=10000)\n",
-    "\n",
-    "\n",
-    "plo = plot(p1, p2,p3,p4,p5, p6, layout=(6,1), size=(1000, 2000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qlow = -0.1005100510051005\n",
-    "Qhigh =  0.49954995499549953\n",
-    "\n",
-    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qlow, Qmax=Qhigh, n=10000)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "z_inds = findall(i -> bal[i]*bal[i+1] < 0, 1:length(bal)-1)\n",
-    "println(\"zero crossings at Q = \", Qs[z_inds])\n",
-    "for i in z_inds\n",
-    "    vline!([Qs[i]], label=\"0\", linestyle=:dot, color=:gray)\n",
-    "end\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\n",
-    "p5 = plot(Qs, bal, lw=2, label=\"balance\",ylim=(-40, 40), xlim = (-.11,-.09))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δ)\",ylim=(-2,2))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δ)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δ\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "jxb = -imag(1.0 ./ (Δs .+ 1e-2))\n",
-    "jxb0 = -imag(1.0 ./ (Δs))\n",
-    "p3 = plot(Qs, jxb, lw=2, label=\"-Im(1 / (Δs + 1e-2))\",color=:blue, xlim = (-.11,-.09),ylim=(-500,500))\n",
-    "plot!(p3, Qs, jxb0, lw=2, label=\"-Im(1 / Δs)\",color=:red,linestyle=:dash)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\n",
-    "p4 = plot(Qs, jxb, lw=2, label=\"-Im(1 / Δs)\",color=:blue, xlim = (-.11,-.09))\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"~ jxb\")\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "plo = plot(p1, p2,p3,p4,p5, layout=(5,1), size=(1000, 2000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Qs = range(-5.0, 5.0, length=200)\n",
-    "\n",
-    "#vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\"\"\"\n",
-    "n=2000:\n",
-    "Qpeak = 0.24512256128064033\n",
-    "maxbal = 0.35873684252530247\n",
-    "br_crit = 4.668551985584323e-5\n",
-    "\n",
-    "n=200 (def):\n",
-    "Qpeak = 0.25125628140703515\n",
-    "maxbal = 0.3585219071071706\n",
-    "br_crit = 4.667153206033017e-5\n",
-    "\"\"\"\n",
-    "\n",
-    "#Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-.2, Qmax=0.5, n=10000)\n",
-    "\n",
-    "println(\"Qpeak = \", Qpeak)\n",
-    "println(\"maxbal = \", maximum(bal_positive))\n",
-    "println(\"maxbal = \", maximum(bal))\n",
-    "println(\"br_crit = \", brcrit)\n",
-    "\n",
-    "p1 = plot(Qs, bal, lw=2, label=\"balance\")#,ylim=(-40, 40))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"balance\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "p2 = plot(Qs, -imag(Δs), lw=2, label=\"Im(Δs)\")#,ylim=(-.2,.05))#,xlim=(-.11,-.09))\n",
-    "plot!(p2, Qs, real(Δs), lw=2, label=\"Re(Δs)\")\n",
-    "#vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "#hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"Δs\")\n",
-    "title!(\"Torque-balance scan\")\n",
-    "\n",
-    "\"\"\"\n",
-    "#remake plot 1 but of derivative of balance with respect to Q\n",
-    "dQ = Qs[2] - Qs[1]\n",
-    "dbal_dQ = diff(bal) ./ dQ\n",
-    "p3 = plot(Qs[1:end-1], dbal_dQ, lw=2, label=\"d(balance)/dQ\",ylim=(-1000, 1000))\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "hline!([0.0], label=\"zero\", linestyle=:dashdot)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"d(balance)/dQ\")\n",
-    "\"\"\"\n",
-    "plo = plot(p1, p2, layout=(2,1), size=(800, 1000))\n",
-    "display(plo)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Check torque is balanced\n",
-    "\n",
-    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
-    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "\n",
-    "# delta_n_p = 1e-2\n",
-    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
-    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
-    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sample_number = [2, 3, 4, 5, 10,100,1000]#,10000,100000]#,1000000]\n",
-    "b_crit = []\n",
-    "# make dicts to store Qs_n and Δs_n arrays for each sample number\n",
-    "Qs_n_dict = Dict{Int, Vector{Float64}}()\n",
-    "bal_n_dict = Dict{Int, Vector{Float64}}()\n",
-    "for i in sample_number\n",
-    "    Qs_n, bal_n, Qs_positive_n, bal_positive_n, Qpeak_n, brcrit_n, Qpeak_ind_n, Δs_n = torque_balance_scan(tb,Qmin=-3, Qmax=3, n=i)\n",
-    "    push!(b_crit, brcrit_n)\n",
-    "    push!(Qs_n_dict, i => Qs_n)\n",
-    "    push!(bal_n_dict, i => bal_n)\n",
-    "    println(bal_n)\n",
-    "end\n",
-    "\n",
-    "# add bcrit = 3.50601e-03 for n=100000 to b_crit\n",
-    "#push!(b_crit, 3.50601e-03)\n",
-    "\n",
-    "# make a plot of b_crit vs sample_number \n",
-    "p1 = plot(sample_number, b_crit,\n",
-    "    lw=2,\n",
-    "    label=\"b_crit\",\n",
-    "    #xscale=:log10,\n",
-    "    #yscale=:log10,\n",
-    "    xlabel=\"Sample Number\",\n",
-    "    ylabel=\"b_crit\")\n",
-    "\n",
-    "p2 = plot(\n",
-    "    xlabel=\"Q\",\n",
-    "    ylabel=\"balance\",\n",
-    "    title=\"Torque balance vs Q\"\n",
-    ")\n",
-    "\n",
-    "for i in sample_number[1:end-1]\n",
-    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\")\n",
-    "end\n",
-    "\n",
-    "p3 = plot(layout=(3, 2), size=(1000, 800))\n",
-    "\n",
-    "for (k, i) in enumerate(sample_number[1:end-1])\n",
-    "    plot!(\n",
-    "        p3[k],\n",
-    "        Qs_n_dict[i],\n",
-    "        bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\",\n",
-    "        xlabel=\"Q\",\n",
-    "        ylabel=\"balance\",\n",
-    "        title=\"n = $i\"\n",
-    "    )\n",
-    "end\n",
-    "\n",
-    "display(p1)\n",
-    "display(p2)\n",
-    "display(p3)\n",
-    "\n",
-    "\n",
-    "println(\"b_crit = \", b_crit)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(b_crit)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bcrit = Any[0.0014075170156654356, 0.0015190532807794722, 0.0015297173529485084, 0.0015297510027746748, 0.0015297613496804952, 0.0015297692159317363, 0.004702965572292843]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Serialization\n",
-    "\n",
-    "# serialize(\"Qs_n_dict.jls\", Qs_n_dict)\n",
-    "# serialize(\"bal_n_dict.jls\", bal_n_dict)\n",
-    "# serialize(\"b_crit.jls\", b_crit)\n",
-    "# serialize(\"sample_number.jls\", sample_number)\n",
-    "#my_dict = deserialize(\"my_dict.jls\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "14",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "Qs, bal, Qs_positive, bal_positive, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=20000)\n",
-    "\n",
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "br_t = brcrit\n",
-    "println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "xmi = -2.5\n",
-    "xma = 0\n",
-    "\n",
-    "\"\"\"\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\"\"\"\n",
-    "\n",
-    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"Torque\")\n",
-    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma))\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "ylabel!(p3, \"Torque Balance\")\n",
-    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "xlabel!(p3, \"Q\")\n",
-    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "15",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recreate Cihan's plot:\n",
-    "\n",
-    "using Plots\n",
-    "using DataInterpolations\n",
-    "\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    grid=false,\n",
-    "    linewidth=2,\n",
-    "    guidefontsize=26,\n",
-    "    tickfontsize=18,\n",
-    "    titlefontsize=30,\n",
-    "    legendfontsize=18,\n",
-    "    size=(1200, 800),\n",
-    "    dpi=150\n",
-    ")\n",
-    "\n",
-    "# Build the critical boundary bcrit(Q0)\n",
-    "Q0_scan = range(-1.0, 4.5; length=80)\n",
-    "bcrit_curve = Float64[]\n",
-    "\n",
-    "for Q0 in Q0_scan\n",
-    "    tbQ = TorqueBalance(\n",
-    "        tb.model,\n",
-    "        tb.params,\n",
-    "        Float64(Q0),\n",
-    "        tb.P,\n",
-    "        tb.delta_n_p,\n",
-    "        tb.lu,\n",
-    "        tb.sval\n",
-    "    )\n",
-    "\n",
-    "    Qs, bal, Qs_pos, bal_pos, Qpeak, brcrit, Qpeak_ind, Δs =\n",
-    "        torque_balance_scan(tbQ; Qmin=-10.0, Qmax=10.0, n=250)\n",
-    "\n",
-    "    if isempty(bal_pos) || !all(isfinite.(bal_pos)) || maximum(bal_pos) <= 0\n",
-    "        push!(bcrit_curve, NaN)\n",
-    "    else\n",
-    "        push!(bcrit_curve, brcrit)\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "ok = isfinite.(bcrit_curve)\n",
-    "Q0_plot = Q0_scan[ok]\n",
-    "bcrit_plot = bcrit_curve[ok]\n",
-    "\n",
-    "perm = sortperm(Q0_plot)\n",
-    "Q0_plot = Q0_plot[perm]\n",
-    "bcrit_plot = bcrit_plot[perm]\n",
-    "\n",
-    "# Interpolate the boundary: bcrit = f(Q0)\n",
-    "curve_itp = LinearInterpolation(bcrit_plot, Q0_plot)\n",
-    "\n",
-    "# Full phase-box bounds\n",
-    "x0 = minimum(bcrit_plot) * 0.8\n",
-    "x1 = maximum(bcrit_plot) * 1.2\n",
-    "y0 = minimum(Q0_plot)\n",
-    "y1 = maximum(Q0_plot)\n",
-    "\n",
-    "xvals = range(x0, x1; length=350)\n",
-    "yvals = range(y0, y1; length=350)\n",
-    "\n",
-    "locked_mask = zeros(Float64, length(yvals), length(xvals))\n",
-    "for iy in eachindex(yvals)\n",
-    "    y = yvals[iy]\n",
-    "    for ix in eachindex(xvals)\n",
-    "        x = xvals[ix]\n",
-    "        # locked when bcrit exceeds the boundary for that Q0\n",
-    "        locked_mask[iy, ix] = x >= curve_itp(y) ? 1.0 : 0.0\n",
-    "    end\n",
-    "end\n",
-    "\n",
-    "p = contourf(\n",
-    "    xvals, yvals, locked_mask',\n",
-    "    levels=[-0.5, 0.5, 1.5],\n",
-    "    c=[:navy, :firebrick],\n",
-    "    colorbar=false,\n",
-    "    xlabel=\"b_crit\",\n",
-    "    ylabel=\"Q_0\",\n",
-    "    title=\"Locked / unlocked region\",\n",
-    "    framestyle=:box,\n",
-    "    xlims=(x0, x1),\n",
-    "    ylims=(y0, y1),\n",
-    "    legend=false\n",
-    ")\n",
-    "\n",
-    "# Critical boundary\n",
-    "plot!(p, bcrit_plot, Q0_plot; lw=3, color=:black, label=\"critical boundary\")\n",
-    "\n",
-    "# Critical point\n",
-    "cp_idx = argmax(bcrit_plot)\n",
-    "cp_x = bcrit_plot[cp_idx]\n",
-    "cp_y = Q0_plot[cp_idx]\n",
-    "scatter!(p, [cp_x], [cp_y]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "# Single legend block with one entry per category\n",
-    "plot!(p, [NaN], [NaN]; color=:firebrick, lw=4, label=\"locked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:navy, lw=4, label=\"unlocked\")\n",
-    "plot!(p, [NaN], [NaN]; color=:black, lw=3, label=\"critical boundary\")\n",
-    "scatter!(p, [NaN], [NaN]; color=:gold, marker=:star5, ms=12, label=\"critical point\")\n",
-    "\n",
-    "plot!(p; legend=:topright)\n",
-    "\n",
-    "display(p)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "16",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "17",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb
deleted file mode 100644
index 617d61585..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_dev_ggj.ipynb	
+++ /dev/null
@@ -1,298 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: GGJParameters\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "import GeneralizedPerturbedEquilibrium.InnerLayer.GGJ: sfac\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Plots\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance\n",
-    "    model\n",
-    "    params\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    delta_n_p::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    jxb = -imag(1.0 / (Δ + tb.delta_n_p))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# You can substitute any valid SLAYERParameters you already have.\n",
-    "# This is just an example skeleton.\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=4, omega_i=-2,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p_ggj = GeneralizedPerturbedEquilibrium.InnerLayer.glasser_wang_2020_eq55()\n",
-    "lu_ggj = sfac(p_ggj)\n",
-    "sval_ggj = 0.5\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.GGJModel(; solver=:galerkin),\n",
-    "    p_ggj,\n",
-    "    0.5,\n",
-    "    1.0,\n",
-    "    1e-2,\n",
-    "    lu_ggj,\n",
-    "    sval_ggj\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "\n",
-    "tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface\n",
-    "lu=tau_r/tau_h                   ! Lundquist number\n",
-    "Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole\n",
-    "\n",
-    "! note Q depends on Qconv even if omega is fixed.\n",
-    "Q=Qconv*omega\n",
-    "Q_e=-Qconv*omega_e\n",
-    "Q_i=-Qconv*omega_i\n",
-    "\n",
-    "\"\"\"\n",
-    "2=-lu**(1.0/3.0)*tau_h *OE\n",
-    "OE = -2 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs = range(-5.0, 5.0, length=20)\n",
-    "\n",
-    "vals = [torque_balance_value(tb, q) for q in Qs]\n",
-    "\n",
-    "# 1m 34.7s for length = 2\n",
-    "# 46 m for length = 20\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(\"Q\")\n",
-    "ylabel!(\"torque balance\")\n",
-    "title!(\"tb(Q)\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(p.lu^(1/3))\n",
-    "println(p.tauk)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.figure()\n",
-    "for i in OMFIT['GPEC']['OUTPUTS'].keys():\n",
-    "    try:\n",
-    "        print(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values)\n",
-    "        plt.plot(OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['inQ'].values, OMFIT['GPEC']['OUTPUTS'][i]['DATA'][0]['gpec_slayer_torque_balance_m2_n1_out']['bal'].values,label=i)\n",
-    "    except:\n",
-    "        continue\n",
-    "plt.axhline(0)\n",
-    "plt.legend()\n",
-    "        \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Δs = [solve_inner(tb.model, tb.params, ComplexF64(q)).tearing/p.lu^(1 / 3)/p.rs for q in Qs]\n",
-    "jxbs = [-imag(1.0 / (d + tb.delta_n_p)) for d in Δs]\n",
-    "\n",
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p1 = plot(Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "plot!(p1, Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\n",
-    "p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"jxb\")\n",
-    "title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(vals), label=\"Re(balance)\", lw=2)\n",
-    "plot!(p3, Qs, imag.(vals), label=\"Im(balance)\", lw=2)\n",
-    "xlabel!(p3, \"Q\")\n",
-    "ylabel!(p3, \"balance\")\n",
-    "title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "\n",
-    "plot(p1, p2, p3, layout=(3,1), size=(800, 1000))"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb
deleted file mode 100644
index 71ed79d9e..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/bcrit_numerics.ipynb	
+++ /dev/null
@@ -1,122 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()\n",
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "using Serialization\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bal_n_dict = deserialize(\"bal_n_dict.jls\")\n",
-    "Qs_n_dict = deserialize(\"Qs_n_dict.jls\")\n",
-    "sample_number = deserialize(\"sample_number.jls\")\n",
-    "bcrit = deserialize(\"b_crit.jls\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# make a plot of b_crit vs sample_number \n",
-    "p1 = plot(\n",
-    "    sample_number,\n",
-    "    b_crit,\n",
-    "    lw=2,\n",
-    "    marker=:circle,\n",
-    "    label=\"b_crit\",\n",
-    "    xscale=:log10,\n",
-    "    #yscale=:log10,\n",
-    "    xlabel=\"Sample Number\",\n",
-    "    ylabel=\"b_crit\"\n",
-    ")\n",
-    "\n",
-    "xticks!(p1,\n",
-    "    [5, 10, 100, 1000, 10000, 100000, 1000000],\n",
-    "    [\"5\", \"10\", \"100\", \"1k\", \"10k\", \"100k\", \"1M\"]\n",
-    ")\n",
-    "\n",
-    "p2 = plot(\n",
-    "    xlabel=\"Q\",\n",
-    "    ylabel=\"balance\",\n",
-    "    title=\"Torque balance vs Q\"\n",
-    ")\n",
-    "\n",
-    "for i in sample_number\n",
-    "    plot!(p2, Qs_n_dict[i], bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\")\n",
-    "end\n",
-    "\n",
-    "p3 = plot(layout=(4, 2), size=(1000, 800))\n",
-    "\n",
-    "for (k, i) in enumerate(sample_number)\n",
-    "    plot!(\n",
-    "        p3[k],\n",
-    "        Qs_n_dict[i],\n",
-    "        bal_n_dict[i],\n",
-    "        lw=2,\n",
-    "        label=\"n=$i\",\n",
-    "        xlabel=\"Q\",\n",
-    "        ylabel=\"balance\",\n",
-    "        title=\"n = $i\"\n",
-    "    )\n",
-    "end\n",
-    "\n",
-    "display(p1)\n",
-    "display(p2)\n",
-    "display(p3)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "println(\"bcrit = $bcrit\")"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt b/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt
deleted file mode 100644
index 91cc2f862..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/gslayer.txt	
+++ /dev/null
@@ -1,466 +0,0 @@
-      MODULE gslayer_mod
-
-      USE sglobal_mod, ONLY: out_unit, r8, mu0, m_p, chag, lnLamb,
-     $   Q_e,Q_i,pr,pe,c_beta,ds,tau,
-     $   eta,visc,rho_s,lu,omega_e,omega_i,
-     $   delta_n,layfac,
-     $   Q
-      USE delta_mod, ONLY: riccati,riccati_out,
-     $   parflow_flag,PeOhmOnly_flag
-
-      IMPLICIT NONE
-
-c-----------------------------------------------------------------------
-c     torque balance scan resolution. public so that gpout_singfld can
-c     size the netcdf dimension from the same source of truth.
-c-----------------------------------------------------------------------
-      INTEGER, PARAMETER :: slayer_inum=200
-      INTEGER, PARAMETER :: slayer_nref=4
-c-----------------------------------------------------------------------
-c     dedicated logarithmic sampling window bracketing Q_e, the electron
-c     diamagnetic frequency. (Q-Q_e) sits in the denominator of both G
-c     and C3 in delta.f, so the layer solve is singular there; the
-c     coarse scan steps over that neighbourhood with dQ=0.1 and the
-c     adaptive refinement only visits it when the torque-balance peak
-c     happens to land on it. These samples always resolve it, so the
-c     structure can be inspected on every surface rather than only on
-c     the ones that fell into it.
-c
-c     PURELY DIAGNOSTIC: filled after br_th is computed, and tagged
-c     kpass=slayer_qetag so the threshold search cannot see them.
-c     Costs slayer_nqe extra lsode solves per surface (~40% on top of
-c     the 1005 the scan already does).
-c-----------------------------------------------------------------------
-      INTEGER, PARAMETER :: slayer_nqe=400
-      INTEGER, PARAMETER :: slayer_qetag=99
-      REAL(r8), PARAMETER :: slayer_qefar=1.0e-1_r8
-      REAL(r8), PARAMETER :: slayer_qenear=1.0e-9_r8
-      INTEGER, PARAMETER :: slayer_nq=(slayer_inum+1)*(slayer_nref+1)
-     $                               +slayer_nqe
-c-----------------------------------------------------------------------
-c     every term of Cole & Fitzpatrick Eq. (61) on one rational
-c     surface,
-c        Im[Delta]/|alpha+Delta|**2
-c              = 2*P*(Q0-Q)/(S*kappa_hat*(b_r/B_phi)**2)
-c     recorded so the balance can be rebuilt piece by piece and
-c     rescanned in post processing. every component is default
-c     initialized, so both ALLOCATE and INTENT(OUT) leave a well
-c     defined (zero) state even when the layer solve is skipped.
-c
-c     kpass tags the scan pass that produced each sample: 0 for the
-c     coarse scan, 1..slayer_nref for the adaptive refinement passes.
-c-----------------------------------------------------------------------
-      TYPE :: slayer_diag_type
-         REAL(r8), DIMENSION(slayer_nq) :: qs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: lhs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: rhs=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: bal=0.0_r8
-         REAL(r8), DIMENSION(slayer_nq) :: brb=0.0_r8
-         COMPLEX(r8), DIMENSION(slayer_nq) :: dlt=(0.0_r8,0.0_r8)
-         INTEGER, DIMENSION(slayer_nq) :: kpass=0
-         REAL(r8) :: alpha=0.0_r8, kaphat=0.0_r8, slun=0.0_r8
-         REAL(r8) :: prnd=0.0_r8, q0v=0.0_r8, qcnv=0.0_r8
-         REAL(r8) :: qev=0.0_r8, qiv=0.0_r8, dsv=0.0_r8
-         REAL(r8) :: cbeta=0.0_r8, tratio=0.0_r8, pev=0.0_r8
-         REAL(r8) :: lfac=0.0_r8, dnorm=0.0_r8, rhos=0.0_r8
-         REAL(r8) :: etav=0.0_r8, viscv=0.0_r8, tauh=0.0_r8
-         REAL(r8) :: taur=0.0_r8, tauv=0.0_r8, taui=0.0_r8
-         REAL(r8) :: shr=0.0_r8, bl=0.0_r8, va=0.0_r8
-         REAL(r8) :: rhom=0.0_r8, lbet=0.0_r8, omg=0.0_r8
-         REAL(r8) :: qsol=0.0_r8, wsol=0.0_r8, brth=0.0_r8
-         REAL(r8) :: mxbal=0.0_r8, qmn=0.0_r8, qmx=0.0_r8
-      END TYPE slayer_diag_type
-
-      CONTAINS
-
-c-----------------------------------------------------------------------
-c     subprogram 1. gpec_slayer.
-c     run slayer to provide b_crit(ising).
-c-----------------------------------------------------------------------
-c-----------------------------------------------------------------------
-c     declarations.
-c-----------------------------------------------------------------------
-      SUBROUTINE gpec_slayer(n_e,t_e,n_i,t_i,zeff,omega,omega_e,
-     $   omega_i,qval,sval,bt,rs,R0,mu_i,inpr,mms,nns,ascii_flag,
-     $     delta,psi0,jxb,omega_sol,br_th,diag,inlayfac,inlayfrac)
-
-      REAL(r8),INTENT(IN) :: n_e,t_e,n_i,t_i,omega,omega_e,omega_i,
-     $     qval,sval,bt,rs,R0,zeff,inpr
-      REAL(r8),INTENT(IN),OPTIONAL :: inlayfac,inlayfrac
-      REAL(r8) :: layfac_max,layfac_frac
-      INTEGER, INTENT(IN) :: mms,nns,mu_i
-      LOGICAL, INTENT(IN) :: ascii_flag
-      COMPLEX(r8),INTENT(OUT) :: delta,psi0
-      REAL(r8),INTENT(OUT) :: jxb,omega_sol,br_th
-      TYPE(slayer_diag_type), INTENT(OUT), OPTIONAL :: diag
-
-      INTEGER :: i,inum
-      INTEGER, DIMENSION(1) :: index
-
-      REAL(r8) :: inQ,inQ_e,inQ_i,inpe,inc_beta,inds,intau,inlu
-      REAL(r8) :: mrs,nrs,rho,b_l,v_a,Qconv,Q0,delta_n_p,
-     $            lbeta,tau_i,tau_h,tau_r,tau_v
-      REAL(r8) :: inQ_min,inQ_max,Q_sol,maxbal
-      INTEGER :: ipass
-      INTEGER, PARAMETER :: nref=slayer_nref
-      REAL(r8) :: xpk,rlo,rhi,rdq,rdqc,xq,bloc,jloc
-      COMPLEX(r8) :: dloc
-
-c     Eq. (61) term capture. cqs/cdlt/clhs/crhs/cbal/cbrb hold every
-c     sample of the coarse and refinement scans, cpass its pass tag,
-c     and iperm the permutation that sorts them by ascending Q.
-      INTEGER :: j,k,kk
-      INTEGER, DIMENSION(slayer_nq) :: iperm,cpass
-      REAL(r8), DIMENSION(slayer_nq) :: cqs,clhs,crhs,cbal,cbrb
-      COMPLEX(r8), DIMENSION(slayer_nq) :: cdlt
-      REAL(r8) :: kaphat,xtmp
-
-      REAL(r8), DIMENSION(:), ALLOCATABLE :: inQs,iinQs,jxbl,bal
-      COMPLEX(r8), DIMENSION(:), ALLOCATABLE :: deltal
-      CHARACTER(3) :: sn,sm
-
-      parflow_flag=.FALSE.
-      PeOhmOnly_flag=.TRUE.
-      riccati_out=.FALSE.
-
-      mrs = real(mms,4)
-      nrs = real(nns,4)
-
-      ! String representations of the m and n mode numbers
-      IF (nns<10) THEN
-         WRITE(UNIT=sn,FMT='(I1)') nns
-         sn=ADJUSTL(sn)
-      ELSE
-         WRITE(UNIT=sn,FMT='(I2)') nns
-      ENDIF
-      IF (mms<10) THEN
-         WRITE(UNIT=sm,FMT='(I1)') mms
-         sm=ADJUSTL(sm)
-      ELSEIF (mms<100) THEN
-         WRITE(UNIT=sm,FMT='(I2)') mms
-         sm=ADJUSTL(sm)
-      ELSE
-         WRITE(UNIT=sm,FMT='(I3)') mms
-      ENDIF
-
-      inpe=0.0                         ! Waybright added this
-
-      tau= t_i/t_e                     ! ratio of ion to electron temperature
-      tau_i = 6.6e17*mu_i**0.5*(t_i/1e3)**1.5/(n_e*lnLamb) ! ion colls.
-      eta= 1.65e-9*lnLamb/(t_e/1e3)**1.5 ! spitzer resistivity (wesson)
-      rho=(mu_i*m_p)*n_e               ! mass density
-
-      b_l=(nrs/mrs)*rs*sval*bt/R0      ! characteristic magnetic field
-      v_a=b_l/(mu0*rho)**0.5           ! alfven velocity
-      rho_s=1.02e-4*(mu_i*t_e)**0.5/bt ! ion Lamour by elec. Temp.
-
-      tau_h=R0*(mu0*rho)**0.5/(nns*sval*bt) ! alfven time across surface
-      tau_r=mu0*rs**2.0/eta            ! resistive time scale
-      tau_v=tau_r/inpr                   ! rho*rs**2.0/visc ! viscous time scale
-
-      ! this one must be anomalous. calculated back from pr.
-      visc= rho*rs**2.0/tau_v
-
-      lu=tau_r/tau_h                   ! Lundquist number
-
-      Qconv=lu**(1.0/3.0)*tau_h        ! conversion to Qs based on Cole
-
-      ! note Q depends on Qconv even if omega is fixed.
-      Q=Qconv*omega
-      Q_e=-Qconv*omega_e
-      Q_i=-Qconv*omega_i
-
-      ! This is the most critical parameter
-      ds=lu**(1.0/3.0)*rho_s/rs        ! conversion based on Cole.
-
-      lbeta=(5.0/3.0)*mu0*n_e*chag*(t_e+t_i)/bt**2.0
-      c_beta=(lbeta/(1.0+lbeta))**0.5
-
-      delta_n=lu**(1.0/3.0)/rs         ! norm factor for delta primes
-
-      inQ=Q
-      inQ_e=Q_e
-      inQ_i=Q_i
-      inc_beta=c_beta
-      inds=ds
-      intau=tau
-      Q0=Q
-c-----------------------------------------------------------------------
-c     set the layer regularization width.
-c
-c     riccati excises a disc of radius layfac around Q_e, where Im[Delta]
-c     has a zero and bal=2P(Q0-Q)/lhs therefore has a pole. Without it the
-c     coarse scan and its refinement walk into that pole and MAXVAL(bal)
-c     returns a threshold set by the scan spacing rather than by the
-c     saddle-node bifurcation. gpec_slayer never assigned layfac, so on
-c     this path the guard was dead.
-c
-c     A fixed width is not safe on every surface: the disc [Q_e-layfac,
-c     Q_e+layfac] can be a large fraction of the physical branch, and on
-c     high-m surfaces it can swallow the turning point or Q0 itself --
-c     quietly, since a number still comes back. So the width is scaled to
-c     the accessible branch |Q0-Q_e| and capped:
-c
-c        layfac_frac > 0 : layfac = MIN(layfac_max, layfac_frac*|Q0-Q_e|)
-c        layfac_frac <= 0: layfac = layfac_max          (fixed width)
-c        layfac_max  <= 0: layfac = 0                   (guard off)
-c
-c     Exposed through gpec.in so the choice is auditable per run; it is a
-c     physics judgement, not a constant.
-c-----------------------------------------------------------------------
-      layfac_max=0.02_r8
-      IF (PRESENT(inlayfac)) layfac_max=inlayfac
-      layfac_frac=0.25_r8
-      IF (PRESENT(inlayfrac)) layfac_frac=inlayfrac
-      IF (layfac_max>0.0_r8) THEN
-         IF (layfac_frac>0.0_r8) THEN
-            layfac=MIN(layfac_max,layfac_frac*ABS(Q0-inQ_e))
-         ELSE
-            layfac=layfac_max
-         ENDIF
-      ELSE
-         layfac=0.0_r8
-      ENDIF
-c-----------------------------------------------------------------------
-c     calculate basic delta, torque, balance, error fields.
-c-----------------------------------------------------------------------
-      delta_n_p=1e-2
-      ! kappa_hat of Eq. (61) is implicit in the br_th expression at the
-      ! end of this routine: sqrt(maxbal/lu*(sval**2/2)) is identically
-      ! sqrt(maxbal/(lu*kappa_hat)) for kappa_hat=2/sval**2. Named here
-      ! for output only; it is never used in a physics expression, so
-      ! the threshold is unchanged.
-      IF (sval/=0.0_r8) THEN
-         kaphat=2.0_r8/sval**2.0
-      ELSE
-         kaphat=0.0_r8
-      ENDIF
-      delta=riccati(inQ,inQ_e,inQ_i,inpr,inc_beta,inds,intau,inpe)
-      psi0=1.0/ABS(delta+delta_n_p)     ! a.u.
-      jxb=-AIMAG(1.0/(delta+delta_n_p)) ! a.u.
-c----------------------------------------------------------------------
-c     find solutions based on simple torque balance.
-c-----------------------------------------------------------------------
-      IF (Q0>inQ_e) THEN
-         inQ_max=2.0*Q0
-         inQ_min=1.05*inQ_e
-      ELSE
-         inQ_max=0.95*inQ_e
-         IF (Q0>0) THEN
-            inQ_min=0.8*inQ_i
-         ELSE
-            inQ_min=1.5*MINVAL((/Q0,inQ_i/))
-         ENDIF
-      ENDIF
-
-      ! Scan of rotation
-      inQ_max=10.0
-      inQ_min=-10.0
-      inum=slayer_inum
-      ALLOCATE(inQs(0:inum),deltal(0:inum),jxbl(0:inum),bal(0:inum))
-      DO i=0,inum
-         inQs(i)=inQ_min+(REAL(i)/inum)*(inQ_max-inQ_min)
-         deltal(i)=riccati(inQs(i),inQ_e,inQ_i,
-     $        inpr,inc_beta,inds,intau,inpe)
-         jxbl(i)=-AIMAG(1.0/(deltal(i)+delta_n_p))
-         bal(i)=2.0*inpr*(Q0-inQs(i))/jxbl(i)
-      ENDDO
-
-      ! Capture the coarse pass (tag 0). This only reads inQs/deltal/
-      ! jxbl/bal, so both the ascii dump and the refinement below are
-      ! bit for bit unchanged. The Eq. (61) right hand side numerator
-      ! is recomputed rather than harvested out of the bal expression
-      ! above; 2.0*inpr*(Q0-inQs(i)) is a pure product chain, so the
-      ! recomputed value is identical to the one formed inline.
-      DO i=0,inum
-         cqs(i+1)=inQs(i)
-         cdlt(i+1)=deltal(i)
-         clhs(i+1)=jxbl(i)
-         crhs(i+1)=2.0*inpr*(Q0-inQs(i))
-         cbal(i+1)=bal(i)
-         cpass(i+1)=0
-      ENDDO
-
-      ! Write torque balance curves to file for diagnostic purposes
-      IF(ascii_flag)THEN
-         OPEN(UNIT=out_unit,FILE="gpec_slayer_torque_balance_m"//
-     $        TRIM(sm)//"_n"//TRIM(sn)//".out",
-     $        STATUS="UNKNOWN")
-         WRITE(out_unit,'(1x,5(a17))') "inQ","RE(delta)",
-     $        "IM(delta)","jxb","bal"
-         DO i=0,inum
-            WRITE(out_unit,'(1x,5(es17.8e3))')
-     $           inQs(i),REAL(deltal(i)),AIMAG(deltal(i)),jxbl(i),bal(i)
-         ENDDO
-         CLOSE(out_unit)
-      ENDIF
-
-      ! The coarse scan above gives the overall torque-balance shape
-      ! and the diagnostic output. The locking "nose" (the maximum of
-      ! bal) can be a very narrow spike near inQ=Q0, however, and the
-      ! coarse grid can step right over it, leaving a spuriously
-      ! negative MAXVAL(bal) and hence a NaN br_th. Bracket the coarse
-      ! maximum and iteratively refine the scan around the running peak
-      ! so the nose is resolved regardless of how narrow it is. Exclude
-      ! non-finite entries (NaN from 0/0, Inf from a near-zero jxbl).
-      index=MAXLOC(bal,MASK=(bal==bal .AND. ABS(bal)<HUGE(bal)))
-      rdqc=(inQ_max-inQ_min)/inum
-      xpk=inQs(index(1))
-      rlo=xpk-2.0*rdqc
-      rhi=xpk+2.0*rdqc
-      maxbal=-HUGE(maxbal)
-      DO ipass=1,nref
-         rdq=(rhi-rlo)/inum
-         DO i=0,inum
-            xq=rlo+REAL(i)*rdq
-            dloc=riccati(xq,inQ_e,inQ_i,inpr,
-     $           inc_beta,inds,intau,inpe)
-            jloc=-AIMAG(1.0/(dloc+delta_n_p))
-            bloc=2.0*inpr*(Q0-xq)/jloc
-            ! capture this refinement sample (tag ipass)
-            k=ipass*(inum+1)+i+1
-            cqs(k)=xq
-            cdlt(k)=dloc
-            clhs(k)=jloc
-            crhs(k)=2.0*inpr*(Q0-xq)
-            cbal(k)=bloc
-            cpass(k)=ipass
-            IF (bloc==bloc .AND. ABS(bloc)<HUGE(bloc)
-     $           .AND. bloc>maxbal) THEN
-               maxbal=bloc
-               xpk=xq
-            ENDIF
-         ENDDO
-         rlo=xpk-2.0*rdq
-         rhi=xpk+2.0*rdq
-      ENDDO
-      Q_sol=xpk
-      omega_sol=xpk/Qconv
-      ! If even the refined nose is non-positive the surface has no
-      ! finite penetration threshold; floor at zero and warn rather
-      ! than propagating a NaN into b_crit/Phi_res_crit downstream.
-      IF (maxbal>0.0_r8) THEN
-         br_th=sqrt(maxbal/lu*(sval**2.0/2.0))
-      ELSE
-         br_th=0.0_r8
-         WRITE(*,'(1x,a,i0,a,i0,a)')
-     $      "!! WARNING: SLAYER torque balance has no positive "//
-     $      "maximum at m=",mms,", n=",nns,"; br_th set to 0"
-      ENDIF
-c-----------------------------------------------------------------------
-c     assemble the Eq. (61) record: b_r/B_phi implied by each balance
-c     point, then merge the coarse and refined samples onto one
-c     ascending Q grid so the narrow nose is densely resolved and the
-c     curve can be interpolated in post processing.
-c-----------------------------------------------------------------------
-      ! Dedicated logarithmic sweep through the Q_e singularity, half
-      ! the samples on each side, |Q-Q_e| running from slayer_qefar in
-      ! to slayer_qenear. br_th is already fixed above and these are
-      ! tagged slayer_qetag, so they are invisible to the peak search.
-      DO i=1,slayer_nqe/2
-         xq=slayer_qefar*(slayer_qenear/slayer_qefar)
-     $      **(REAL(i-1,r8)/REAL(slayer_nqe/2-1,r8))
-         DO j=0,1
-            k=(inum+1)*(nref+1)+(i-1)*2+j+1
-            IF (j==0) THEN
-               cqs(k)=inQ_e-xq
-            ELSE
-               cqs(k)=inQ_e+xq
-            ENDIF
-            cdlt(k)=riccati(cqs(k),inQ_e,inQ_i,inpr,
-     $           inc_beta,inds,intau,inpe)
-            clhs(k)=-AIMAG(1.0/(cdlt(k)+delta_n_p))
-            crhs(k)=2.0*inpr*(Q0-cqs(k))
-            cbal(k)=crhs(k)/clhs(k)
-            cpass(k)=slayer_qetag
-         ENDDO
-      ENDDO
-      ! deliberately the same expression form as br_th above, so the
-      ! peak sample reproduces br_th exactly rather than differing in
-      ! the last bit.
-      DO k=1,slayer_nq
-         IF (cbal(k)==cbal(k) .AND. cbal(k)>0.0_r8
-     $        .AND. ABS(cbal(k))<HUGE(cbal(k))) THEN
-            cbrb(k)=sqrt(cbal(k)/lu*(sval**2.0/2.0))
-         ELSE
-            cbrb(k)=0.0_r8
-         ENDIF
-      ENDDO
-      ! insertion sort of a permutation index, keyed on Q so the key can
-      ! never be NaN. cqs is five already ascending runs, so this is
-      ! cheap next to the slayer_nq lsode solves already done above.
-      ! Duplicates are kept: a refinement bracket can land exactly on a
-      ! coarse abscissa, and the pass tag distinguishes them.
-      DO k=1,slayer_nq
-         iperm(k)=k
-      ENDDO
-      DO k=2,slayer_nq
-         kk=iperm(k)
-         xtmp=cqs(kk)
-         j=k-1
-         DO WHILE (j>=1)
-            IF (cqs(iperm(j))<=xtmp) EXIT
-            iperm(j+1)=iperm(j)
-            j=j-1
-         ENDDO
-         iperm(j+1)=kk
-      ENDDO
-      IF (PRESENT(diag)) THEN
-         DO k=1,slayer_nq
-            kk=iperm(k)
-            diag%qs(k)=cqs(kk)
-            diag%dlt(k)=cdlt(kk)
-            diag%lhs(k)=clhs(kk)
-            diag%rhs(k)=crhs(kk)
-            diag%bal(k)=cbal(kk)
-            diag%brb(k)=cbrb(kk)
-            diag%kpass(k)=cpass(kk)
-         ENDDO
-         ! scalars are taken from the local copies, never from the
-         ! sglobal_mod globals Q/Q_e/Q_i/ds/tau/c_beta/pr/pe: riccati
-         ! overwrites those on every call, so by this point the module
-         ! Q holds the last refinement sample rather than Q0.
-         diag%alpha=delta_n_p
-         diag%kaphat=kaphat
-         diag%slun=lu
-         diag%prnd=inpr
-         diag%q0v=Q0
-         diag%qcnv=Qconv
-         diag%qev=inQ_e
-         diag%qiv=inQ_i
-         diag%dsv=inds
-         diag%cbeta=inc_beta
-         diag%tratio=intau
-         diag%pev=inpe
-         diag%lfac=layfac
-         diag%dnorm=delta_n
-         diag%rhos=rho_s
-         diag%etav=eta
-         diag%viscv=visc
-         diag%tauh=tau_h
-         diag%taur=tau_r
-         diag%tauv=tau_v
-         diag%taui=tau_i
-         diag%shr=sval
-         diag%bl=b_l
-         diag%va=v_a
-         diag%rhom=rho
-         diag%lbet=lbeta
-         diag%omg=omega
-         diag%qsol=Q_sol
-         diag%wsol=omega_sol
-         diag%brth=br_th
-         diag%qmn=inQ_min
-         diag%qmx=inQ_max
-         IF (maxbal>-HUGE(maxbal)) THEN
-            diag%mxbal=maxbal
-         ELSE
-            diag%mxbal=0.0_r8
-         ENDIF
-      ENDIF
-      DEALLOCATE(inQs,deltal,jxbl,bal)
-
-      RETURN
-      END SUBROUTINE gpec_slayer
-
-      END MODULE gslayer_mod
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb b/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb
deleted file mode 100644
index d7f16a2b4..000000000
--- a/src/Tearing/CriticalResonantField/CRF Dev/pole_testing.ipynb	
+++ /dev/null
@@ -1,395 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
-    "Base.active_project()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium: InnerLayer\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: solve_inner\n",
-    "using GeneralizedPerturbedEquilibrium: Tearing\n",
-    "using ..InnerLayer\n",
-    "using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters\n",
-    "\n",
-    "using Plots\n",
-    "using Printf\n",
-    "default(\n",
-    "    fontfamily=\"Georgia\",\n",
-    "    margin=12Plots.mm,\n",
-    "    size=(800, 500),\n",
-    "    dpi=150\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "struct TorqueBalance{M<:InnerLayerModel,P}\n",
-    "    model::M\n",
-    "    params::P\n",
-    "    Q0::Float64\n",
-    "    P::Float64\n",
-    "    lu::Float64\n",
-    "    sval::Float64\n",
-    "end\n",
-    "\n",
-    "function torque_balance_value(tb::TorqueBalance, Q::Number)\n",
-    "    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing\n",
-    "    alpha = 1e-2\n",
-    "    jxb = -imag(1.0 / (Δ + alpha))\n",
-    "    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ\n",
-    "end\n",
-    "\n",
-    "function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)\n",
-    "    Qs = range(Qmin, Qmax; length=n)\n",
-    "    torque_out = [torque_balance_value(tb, q) for q in Qs]\n",
-    "    bal = [x[1] for x in torque_out]\n",
-    "    Δs = [x[2] for x in torque_out]\n",
-    "    positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "    if !any(positive)\n",
-    "        @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "\n",
-    "    # Find the highest point, then remove candidates within ΔQ of it.\n",
-    "\n",
-    "    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
-    "    sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
-    "    selected = Int[]\n",
-    "    min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
-    "\n",
-    "    for i in idx_maxima\n",
-    "        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
-    "            push!(selected, i)\n",
-    "        end\n",
-    "        length(selected) == 2 && break\n",
-    "    end\n",
-    "\n",
-    "    if isempty(selected)\n",
-    "        @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "\n",
-    "    idx_maxima = selected\n",
-    "\n",
-    "\n",
-    "    # Find all local maxima in the positive region\n",
-    "    #idx_positive = findall(positive)\n",
-    "    #idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
-    "    maxima = bal[idx_maxima]\n",
-    "    Qs_maxima = Qs[idx_maxima]\n",
-    "    # find index, q val and bal val of the q closest to Q_e\n",
-    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
-    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "\n",
-    "    # find index, q val and bal val of the q closest to Q_i\n",
-    "    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
-    "    q_closest_Q_i = Qs[idx_closest_Q_i]\n",
-    "    bal_closest_Q_i = bal[idx_closest_Q_i]\n",
-    "    \n",
-    "    println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
-    "    # check if 1st q_maxima is same as Q_e or Q_i from p\n",
-    "    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
-    "        if length(idx_maxima) < 2\n",
-    "            @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "        end\n",
-    "        println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
-    "        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
-    "            @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "            return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "        end\n",
-    "        idx_maximum = idx_maxima[2]\n",
-    "        maximum = bal[idx_maximum]\n",
-    "        Qmaximum = Qs[idx_maximum]\n",
-    "    else\n",
-    "        idx_maximum = idx_maxima[1]\n",
-    "        maximum = bal[idx_maximum]\n",
-    "        Qmaximum = Qs[idx_maximum]\n",
-    "    end\n",
-    "\n",
-    "    println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
-    "\n",
-    "    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.slayer_parameters(\n",
-    "    n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "    omega=0.0, omega_e=40, omega_i=-20,\n",
-    "    qval=2.0, sval_r=0.5, bt=2.0, rs=1.0, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "    chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    ")\n",
-    "p = GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERParameters(\n",
-    "    ising=p.ising,\n",
-    "    m=p.m, n=p.n,\n",
-    "    tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "    P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "    Q_e=2, Q_i=3, iota_e=p.iota_e,\n",
-    "    tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "    rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "    dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "    eta=p.eta, d_beta=p.d_beta,\n",
-    "    dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    ")\n",
-    "\n",
-    "tb = TorqueBalance(\n",
-    "    GeneralizedPerturbedEquilibrium.InnerLayer.SLAYERModel(;),\n",
-    "    p,\n",
-    "    0.5,\n",
-    "    61.0, #1.0\n",
-    "    p.lu,\n",
-    "    p.sval_r\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=-2.5, Qmax=0, n=200000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Qmax = 10\n",
-    "Qmin = -10\n",
-    "positive = isfinite.(bal) .& (bal .> 0.0)\n",
-    "\n",
-    "if !any(positive)\n",
-    "    @warn \"No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "end\n",
-    "\n",
-    "# Find the highest point, then remove candidates within ΔQ of it.\n",
-    "\n",
-    "idx_maxima = findall(isfinite.(bal) .& (bal .> 0))\n",
-    "sort!(idx_maxima, by=i -> bal[i], rev=true)\n",
-    "selected = Int[]\n",
-    "min_ΔQ = 0.001 * abs(Qmax - Qmin)\n",
-    "\n",
-    "for i in idx_maxima\n",
-    "    if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)\n",
-    "        push!(selected, i)\n",
-    "    end\n",
-    "    length(selected) == 2 && break\n",
-    "end\n",
-    "\n",
-    "if isempty(selected)\n",
-    "    @warn \"No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "    return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "end\n",
-    "\n",
-    "idx_maxima = selected\n",
-    "\n",
-    "\n",
-    "# Find all local maxima in the positive region\n",
-    "#idx_positive = findall(positive)\n",
-    "#idx_maxima = idx_positive[partialsortperm(bal[idx_positive], 1:min(2, length(idx_positive)); rev=true)]\n",
-    "maxima = bal[idx_maxima]\n",
-    "Qs_maxima = Qs[idx_maxima]\n",
-    "# find index, q val and bal val of the q closest to Q_e\n",
-    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv\n",
-    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "\n",
-    "# find index, q val and bal val of the q closest to Q_i\n",
-    "idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv\n",
-    "q_closest_Q_i = Qs[idx_closest_Q_i]\n",
-    "bal_closest_Q_i = bal[idx_closest_Q_i]\n",
-    "\n",
-    "println(\"Local maxima indices: \", idx_maxima, \" with values: \", maxima, \" and corresponding Qs: \", Qs_maxima, \" closest Q to Q_e: \", q_closest_Q_e, \" closest Q to Q_i: \", q_closest_Q_i)\n",
-    "# check if 1st q_maxima is same as Q_e or Q_i from p\n",
-    "if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i\n",
-    "    if length(idx_maxima) < 2\n",
-    "        @warn \"The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "    println(\"Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\")\n",
-    "    if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i\n",
-    "        @warn \"Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range.\"\n",
-    "        return Qs, bal, NaN, NaN, NaN, Δs\n",
-    "    end\n",
-    "    idx_maximum = idx_maxima[2]\n",
-    "    maximum = bal[idx_maximum]\n",
-    "    Qmaximum = Qs[idx_maximum]\n",
-    "else\n",
-    "    idx_maximum = idx_maxima[1]\n",
-    "    maximum = bal[idx_maximum]\n",
-    "    Qmaximum = Qs[idx_maximum]\n",
-    "end\n",
-    "\n",
-    "println(\"Selected local maximum index: \", idx_maximum, \" with value: \", maximum, \" and corresponding Q: \", Qmaximum)\n",
-    "\n",
-    "br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "println(Qmaximum, br_crit, idx_maximum)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "#br_t = brcrit\n",
-    "#println(tb.lu, \" \", tb.sval, \" \", br_t, \" \", p.bt, \" \", 1e-2)\n",
-    "#@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "#T_EM = tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs\n",
-    "T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "i = Qpeak_ind\n",
-    "println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "#T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "#T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "xmi = -2.5\n",
-    "xma = 0\n",
-    "\n",
-    "\"\"\"\n",
-    "p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "#plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Δ\")\n",
-    "#title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "\"\"\"\n",
-    "\n",
-    "p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p1, \"Q\")\n",
-    "ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "#p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "xlabel!(p2, \"Q\")\n",
-    "ylabel!(p2, \"Torque\")\n",
-    "#title!(p2, \"jxb(Q) = -Im[1/(Δ + δ_n_p)]\")\n",
-    "\n",
-    "p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma)) #xlim=(-1.3,-.8),ylim=(375,389))#\n",
-    "plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "loc_max_ind= [4001, 10050, 10094, 10186, 10195, 10213, 10258, 10272, 10340, 10355, 10365, 10376, 10385, 10387, 10392, 10405, 10412, 10421, 10430, 10443, 10450, 10457, 10470, 10473, 10494, 10498, 10512, 10520, 10537, 10544, 10552, 10557, 10573, 10576, 10578, 10586, 10588, 10596, 10606, 10610, 10632, 10637, 10648, 10655, 10659, 10665, 10670, 10676, 10679, 10691, 10695, 10697, 10705, 10707, 10719, 10730, 10742, 10746, 10751, 10755, 10761, 10765, 10770, 10776, 10778, 10783, 10786, 10788, 10793, 10798, 10810, 10814, 10821, 10824, 10829, 10834, 10837, 10841, 10843, 10847, 10849, 10856, 10858, 10861, 10863, 10868, 10871, 10877, 10881, 10887, 10892, 10895, 10897, 10900, 10904, 10906, 10909, 10911, 10916, 10918, 10923, 10929, 10931, 10933, 10937, 10942, 10945, 10950, 10955, 10959, 10963, 10969, 10971, 10974, 10976, 10981, 10984, 10988, 10991, 10994, 10997, 11001, 11003, 11005, 11012, 11015, 11018, 11021, 11024, 11027, 11029, 11031, 11033, 11036, 11039, 11042, 11044, 11048, 11053, 11056, 11058, 11060, 11062, 11064, 11068, 11078, 11080, 11083, 11085, 11096, 11098, 11100, 11102, 11104, 11106, 11109, 11111, 11116, 11119, 11121, 11128, 11131, 11133, 11139, 11145, 11148, 11150, 11152, 11155, 11157, 11162, 11165, 11169, 11174, 11180, 11183, 11186, 11188, 11205, 11218, 11220, 11222, 11224, 11228, 11233, 11235, 11243, 11249, 11254, 11257, 11259, 11276, 11281, 11294, 11299, 11303, 11306, 11312, 11316, 11319, 11322, 11335, 11341, 11358, 11369, 11376, 11381, 11386, 11391, 11394, 11396, 11399, 11406, 11410, 11417, 11420, 11422, 11428, 11437, 11446, 11448, 11453, 11457, 11469, 11473, 11486, 11497, 11513, 11540, 11542, 11544, 11552, 11554, 11565, 11570, 11573, 11578, 11587, 11594, 11597, 11602, 11614, 11620, 11633, 11654, 11660, 11662, 11669, 11677, 11682, 11687, 11711, 11764, 11804, 11806, 11821, 11848, 11860, 11882, 11901, 11928, 11991, 12108]\n",
-    "#plot!(p3, Qs[loc_max_ind], bal[loc_max_ind], seriestype=:scatter, label=\"Local Maxima\", color=:red)\n",
-    "loc_mx2 = [4001, 10963, 10955, 10950, 11005]\n",
-    "#plot!(p3, Qs[loc_mx2], bal[loc_mx2], seriestype=:scatter, label=\"Local Maxima 2\", color=:green)\n",
-    "ylabel!(p3, \"Torque Balance\")\n",
-    "#title!(p3, \"2P(Q0-Q)/jxb\")\n",
-    "xlabel!(p3, \"Q\")\n",
-    "vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "# find index, q val and bal val of the q closest to Q_e\n",
-    "println(\"Q_e: \", -tb.params.Q_e)\n",
-    "idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
-    "q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
-    "println(\"B crit: \", brcrit)\n",
-    "vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
-    "vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
-    "\n",
-    "#plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
-    "plot(p3, layout=(1,1), size=(800, 1000))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# compare Q_e to Q of max(bal)\n",
-    "println(\"-Q_e = \", -p.Q_e, \" Q_i = \", p.Q_i, \" Q_peak = \", Qpeak, \" br_crit = \", brcrit)\n",
-    "# check if |Qpeak+Q_e| < 1e-2\n",
-    "println(\"|Qpeak + Q_e| = \", abs(Qpeak + p.Q_e))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Check torque is balanced\n",
-    "\n",
-    "viscous_torque = 2*tb.P*(tb.Q0 - Qpeak)\n",
-    "electromagnetic_torque = -imag(1.0 / (Δs[Qpeak_ind] + 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "\n",
-    "# delta_n_p = 1e-2\n",
-    "# jxb = -imag(1.0 / (Δ + delta_n_p))\n",
-    "# bal = 2.0 * tb.P * (tb.Q0 - Q) / jxb\n",
-    "# br_crit = sqrt(maxbal / tb.lu * (tb.sval^2 / 2.0))\n",
-    "\n",
-    "@printf(\"br_crit = %.5e\\n\", brcrit)\n",
-    "@printf(\"viscous_torque = %.5e\\n\", viscous_torque)\n",
-    "@printf(\"electromagnetic_torque = %.5e\\n\", electromagnetic_torque)\n",
-    "@printf(\"ratio = %.10f\\n\", viscous_torque / electromagnetic_torque)"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "file_extension": ".jl",
-   "mimetype": "application/julia",
-   "name": "julia"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls b/src/Tearing/CriticalResonantField/CRF Dev/sample_number.jls
deleted file mode 100644
index c320ccaa9d62b84e8037da421fd24ccf2da49346..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 68
ucmXr_@{wa<U|<ks;CRLgq(OiSLNTO3=@-lphJZSRUeLw}W;i(UgJ}T6Yz067

diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
index 1fe90461a..b51360cd0 100644
--- a/src/Tearing/CriticalResonantField/CriticalResonantField.jl
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -9,6 +9,7 @@ module CriticalResonantField
 
 using LinearAlgebra
 using StaticArrays
+using Printf
 
 using ..InnerLayer
 using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index cd74535ea..76042479d 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -55,7 +55,7 @@ Returns the Q values, torque balance values, positive Q values, positive torque
 the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
 """
 
-function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
+function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=2000)
     Qs = range(Qmin, Qmax; length=n)
     torque_out = [torque_balance_value(tb, q) for q in Qs]
     bal = [x[1] for x in torque_out]
@@ -100,16 +100,12 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
     bal_closest_Q_i = bal[idx_closest_Q_i]
 
     println(
-        "Local maxima indices: ",
-        idx_maxima,
-        " with values: ",
-        maxima,
-        " and corresponding Qs: ",
-        Qs_maxima,
-        " closest Q to Q_e: ",
-        q_closest_Q_e,
+        "Highest Qs: ",
+        [@sprintf("%.2f", q) for q in Qs_maxima],
+        ", Closest Q to Q_e: ",
+        @sprintf("%.2f", q_closest_Q_e),
         " closest Q to Q_i: ",
-        q_closest_Q_i
+        @sprintf("%.2f", q_closest_Q_i)
     )
 
     # check if 1st q_maxima is same as Q_e or Q_i from p
@@ -118,7 +114,7 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
             @warn "The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range."
             return Qs, bal, NaN, NaN, NaN, Δs
         end
-        println("Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.")
+        @warn "The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead."
         if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i
             @warn "Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range."
             return Qs, bal, NaN, NaN, NaN, Δs
@@ -132,9 +128,22 @@ function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=20000)
         Qmaximum = Qs[idx_maximum]
     end
 
-    println("Selected local maximum index: ", idx_maximum, " with value: ", maximum, " and corresponding Q: ", Qmaximum)
-
     br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))
 
+    println(
+        "Critical Resonant Field at ",
+        tb.params.m,
+        "/",
+        tb.params.n,
+        " surface: ",
+        @sprintf("%.2e", br_crit),
+        " T at index: ",
+        idx_maximum,
+        " with value: ",
+        @sprintf("%.2f", maximum),
+        " and corresponding Q: ",
+        @sprintf("%.2f", Qmaximum)
+    )
+
     return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs
 end
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index bbf297975..d465b8cde 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -20,7 +20,8 @@ constructor.
     Qmin::Float64 = -10.0
     Qmax::Float64 = 10.0
     n::Int = 200
-    angular_momentum_diffusivity::Union{Float64,Vector{Float64}} = 1.0
+    viscous_input_type::String = "angular_momentum_diffusivity" # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+    viscous_input::Any = 1.0
     store_scan::Bool = false
 end
 
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 9f1a686d1..aa3756111 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -359,13 +359,15 @@ end
     and the corresponding critical resoannt field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing)
+function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing, chi_prof=nothing)
+    slayer_ctrl = ctrl
+    ctrl = slayer_ctrl.critical_resonant_field
     ctrl.enabled || return empty_critical_resonant_field_result()
 
+    _eval(x, ψ) = x isa Real ? Float64(x) : Float64(x(ψ))
+
     profiles === nothing &&
-        throw(ArgumentError(
-            "CriticalResonantField requires kinetic profiles."
-        ))
+        throw(ArgumentError("CriticalResonantField requires kinetic profiles."))
 
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
@@ -382,28 +384,65 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     Q0_vec = Float64[]
     P_vec = Float64[]
     scan_data = NamedTuple[]
-    # check if angular_momentum_diffusivity is list or value
 
-    if isa(ctrl.angular_momentum_diffusivity, AbstractArray)
-        chi_vec = ctrl.angular_momentum_diffusivity
+    if ctrl.viscous_input_type === "angular_momentum_diffusivity"
+        if ctrl.viscous_input === false
+            chi_vec = nothing
+            use_P = false
+        elseif ctrl.viscous_input isa AbstractArray
+            chi_vec = ctrl.viscous_input
+            use_P = false
+        elseif ctrl.viscous_input isa Number
+            chi_vec = fill(ctrl.viscous_input, length(params))
+            use_P = false
+        else
+            throw(ArgumentError("Invalid viscous_input for angular_momentum_diffusivity."))
+        end
+
+    elseif ctrl.viscous_input_type === "magnetic_prandtl_number"
+        chi_vec = nothing
+        use_P = true
+        if ctrl.viscous_input isa AbstractArray
+            P_vec = ctrl.viscous_input
+        elseif ctrl.viscous_input isa Number
+            P_vec = fill(ctrl.viscous_input, length(params))
+        elseif ctrl.viscous_input === false
+            use_P = false
+        else
+            throw(ArgumentError("Invalid viscous_input for magnetic_prandtl_number."))
+        end
+
     else
-        chi_vec = fill(ctrl.angular_momentum_diffusivity, length(params))
+        throw(ArgumentError(
+            "Invalid viscous_input_type: $(ctrl.viscous_input_type). " *
+            "Must be 'angular_momentum_diffusivity' or 'magnetic_prandtl_number'."
+        ))
     end
 
     for (isurf, p) in enumerate(params)
+
         psi_here = intr[isurf].psifac
         omega_here = profiles(psi_here).omega
         Q0_here = p.tauk * omega_here
-        eta_here = p.eta # resistivity at the rational surface
-        chi_here = chi_vec[isurf] # angular momentum diffusivity at the rational surface
-
-        # Note, P = τ_R / τ_V (Cole PoP 2006), τ_R = μ₀ r_s² / η, τ_V = ρ r_s² / μ
-        # Therefore, P = τ_R / τ_V = μ₀ μ / (η ρ), and with χ_φ = μ / ρ, P = μ₀ χ_φ / η
-
-        P_here = (4π * 1e-7) .* abs.(chi_here) ./ eta_here
+        eta_here = p.eta
+
+        if use_P
+            P_here = P_vec[isurf]
+        elseif chi_vec === nothing
+            try
+                chi_here = _eval(chi_prof, psi_here)
+            catch
+                @warn "CriticalResonantField: chi_prof is not provided, using control chi_perp as fallback."
+                chi_here = slayer_ctrl.chi_perp
+            end
+            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+        else
+            chi_here = chi_vec[isurf]
+            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+        end
 
         if P_here < 1
-            @warn("CriticalResonantField: P < 1 at surface $isurf (P = $P_here). The model is invalid for P < 1.")
+            @warn "CriticalResonantField: P < 1 at surface $isurf (P = $P_here)."
         end
 
         tb = TorqueBalance(
@@ -416,7 +455,12 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         )
 
         Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
-            torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+            torque_balance_scan(
+                tb;
+                Qmin=ctrl.Qmin,
+                Qmax=ctrl.Qmax,
+                n=ctrl.n
+            )
 
         push!(surface_index, isurf)
         push!(Qpeak_vec, Qpeak)
@@ -424,23 +468,24 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         push!(Q0_vec, Q0_here)
         push!(P_vec, P_here)
 
-        scan_entry = (
-            surface=isurf,
-            Q=collect(Qs),
-            balance=collect(bal),
-            delta=collect(Δs),
-            Qpeak=Qpeak,
-            br_crit=br_crit,
-            Q0=Q0_here,
-            P=P_here,
-            lu=p.lu,
-            sval=p.sval_r,
-            m=p.m,
-            n=p.n,
-            params=p
+        push!(
+            scan_data,
+            (
+                surface=isurf,
+                Q=collect(Qs),
+                balance=collect(bal),
+                delta=collect(Δs),
+                Qpeak=Qpeak,
+                br_crit=br_crit,
+                Q0=Q0_here,
+                P=P_here,
+                lu=p.lu,
+                sval=p.sval_r,
+                m=p.m,
+                n=p.n,
+                params=p
+            )
         )
-        push!(scan_data, scan_entry)
-
     end
 
     return CriticalResonantFieldResult(
@@ -565,8 +610,8 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
     # include critical resonant filed workflow here
     if control.critical_resonant_field.enabled
         slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
-        crf_result = run_critical_resonant_field(equil, surfaces, control.critical_resonant_field;
-            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles)
+        crf_result = run_critical_resonant_field(equil, surfaces, control;
+            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles, chi_prof=chi_perp)
         combined_result = SLAYERResult(
             slayer_result.enabled,
             slayer_result.control,

From 11257123a6ffad2c51a933e8c672f41b16c8a408 Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Thu, 20 Aug 2026 14:23:27 -0400
Subject: [PATCH 08/14] Cleaned up notebooks/ignore

---
 .gitignore                                    |   1 -
 .../slayer_ex.ipynb                           | 257 +-----------------
 2 files changed, 11 insertions(+), 247 deletions(-)

diff --git a/.gitignore b/.gitignore
index 8f463f94f..99ce15eb1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -38,5 +38,4 @@ scratch/
 
 # Local profiling scratch (one-off study scripts, not part of the package)
 profiling/
-examples/b_crit_standalone_example/
 src/Tearing/CriticalResonantField/CRF Dev/
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
index ed88780dd..4e59b802d 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -6,17 +6,6 @@
    "id": "0",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "using Pkg\n",
-    "Pkg.build(\"GeneralizedPerturbedEquilibrium\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "using Pkg\n",
     "Pkg.activate(\"/Users/bursche/Documents/GitHub/JPEC_BCRIT\")\n",
@@ -38,74 +27,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "h5path = \"/Users/bursche/Documents/GitHub/JPEC_BCRIT/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.h5\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using HDF5\n",
-    "\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    println(\"Top-level keys:\")\n",
-    "    println(collect(keys(file)))\n",
-    "\n",
-    "    if haskey(file, \"Tearing\")\n",
-    "        println(\"\\nKeys in Tearing:\")\n",
-    "        println(collect(keys(file[\"Tearing\"])))\n",
-    "\n",
-    "        if haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "            println(\"\\nKeys in Tearing/CriticalResonantField:\")\n",
-    "            println(collect(keys(file[\"Tearing\"][\"CriticalResonantField\"])))\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing group found.\")\n",
-    "    end\n",
-    "end"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Print the contents of the Tearing/CriticalResonantField group\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    if haskey(file, \"Tearing\") && haskey(file[\"Tearing\"], \"CriticalResonantField\")\n",
-    "        println(\"\\nContents of Tearing/CriticalResonantField:\")\n",
-    "        # Iterate over the keys in the Tearing/CriticalResonantField group and print their names and types\n",
-    "        for key in keys(file[\"Tearing\"][\"CriticalResonantField\"])\n",
-    "            dataset = file[\"Tearing\"][\"CriticalResonantField\"][key]\n",
-    "            println(\"Key: $key, Type: $(typeof(dataset))\")\n",
-    "            # print data \n",
-    "            if isa(dataset, HDF5.Dataset)\n",
-    "                data = read(dataset)\n",
-    "                println(\"Data: $data\")\n",
-    "            end\n",
-    "        end\n",
-    "    else\n",
-    "        println(\"No Tearing/CriticalResonantField group found.\")\n",
-    "    end\n",
-    "    # Print bcrit data as .2e (in one line)\n",
-    "    println(\"\\nBcrit data: $(join([@sprintf(\"%.2e\", x) for x in read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], \" \"))\")\n",
-    "end\n",
-    "\n"
+    "h5path = \"gpec.h5\""
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,22 +47,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
     "function bcrit_diag_plots(Δs, Qs, bal, name)\n",
     "\n",
     "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2)\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
+    "    plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
     "    xlabel!(p1, \"Q\")\n",
     "    ylabel!(p1, \"Δ\")\n",
     "    title!(p1, \"Inner-layer Δ(Q) - $name\")\n",
@@ -143,7 +67,6 @@
     "\n",
     "    plot(p1, p2, layout=(2,1), size=(500, 700))\n",
     "\n",
-    "\n",
     "end\n",
     "\n",
     "function plot_all_vs_rational_q(h5path)\n",
@@ -172,184 +95,28 @@
     "        display(fig)\n",
     "        #return fig\n",
     "    end\n",
-    "end\n",
-    "\n",
-    "plot_all_vs_rational_q(h5path)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "using GeneralizedPerturbedEquilibrium\n",
-    "using GeneralizedPerturbedEquilibrium: Analysis\n",
-    "using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,\n",
-    "    SLAYERModel, SLAYERParameters, slayer_parameters\n",
-    "using GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField: TorqueBalance, torque_balance_value, torque_balance_scan\n",
-    "\n",
-    "surface_num = 5\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    sval_r = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"sval\"])\n",
-    "    Q0 = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q0\"])\n",
-    "    m = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"m\"])\n",
-    "    n = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"n\"])\n",
-    "    qval = m/n\n",
-    "    Q_e = read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]\n",
-    "    Q_i = read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]\n",
-    "    lu = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"lu\"])\n",
-    "    rs = read(file[\"Tearing\"][\"PerSurface\"][\"rs\"])[surface_num]\n",
-    "    P = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"P\"])\n",
-    "\n",
-    "    p = slayer_parameters( # Call slayer_parameters function to instantiate slab parameters\n",
-    "        n_e=1e19, t_e=1e3, t_i=1e3,\n",
-    "        omega=0.0, omega_e=40, omega_i=-20,\n",
-    "        qval=qval, sval_r=sval_r, bt=2.0, rs=rs, R0=3.0, mu_i=2.0, zeff=1.0,\n",
-    "        chi_perp=1.0, chi_tor=1.0, m=2, n=1\n",
-    "    )\n",
-    "    p = SLAYERParameters( # Modify the created SLAYERParameters struct to modify electron and ion diamagnetic resonance frequencies\n",
-    "        ising=p.ising,\n",
-    "        m=p.m, n=p.n,\n",
-    "        tau=p.tau, lu=p.lu, c_beta=p.c_beta, D_norm=p.D_norm,\n",
-    "        P_perp=p.P_perp, P_tor=p.P_tor,\n",
-    "        Q_e=Q_e, Q_i=Q_i, iota_e=p.iota_e,\n",
-    "        tauk=p.tauk, tau_r=p.tau_r, delta_n=p.delta_n,\n",
-    "        rs=p.rs, R0=p.R0, bt=p.bt, sval_r=p.sval_r,\n",
-    "        dr_val=p.dr_val, dgeo_val=p.dgeo_val,\n",
-    "        eta=p.eta, d_beta=p.d_beta,\n",
-    "        dc_tmp=p.dc_tmp, dc_type=p.dc_type\n",
-    "    )\n",
-    "\n",
-    "    tb = TorqueBalance( # Generate a TorqueBalance struct using the default (Fitzpatrick) SLAYERModel and the modified SLAYERParameters\n",
-    "        SLAYERModel(;),\n",
-    "        p, # Slayer Parameters struct\n",
-    "        Q0, # Normalized rotation Q\n",
-    "        P, # Magnetic Prandtl number\n",
-    "        p.lu, # Lundquist Number\n",
-    "        p.sval_r # r-based magnetic shear\n",
-    "    )\n",
-    "    Qmin = -.2\n",
-    "    Qmax = .2\n",
-    "    Qs, bal, Qpeak, brcrit, Qpeak_ind, Δs = torque_balance_scan(tb,Qmin=Qmin, Qmax=Qmax, n=1000) # Run actual torque balance scan, finds inner-layer delta across Q vals\n",
-    "\n",
-    "\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    T_VISC = [2.0 * tb.P * (tb.Q0 - q) for q in Qs] #(q, jxb) in zip(Qs, jxbs)]\n",
-    "    T_EM = -imag(1.0 ./ (Δs .+ 1e-2)) *brcrit^2*tb.lu/(tb.sval^2/2)\n",
-    "    i = Qpeak_ind\n",
-    "    println(T_VISC[i]/(tb.lu * tb.sval^2/2 * (brcrit)^2 * jxbs[i]))\n",
-    "    println(T_VISC[i] / (tb.lu * tb.sval^2/2 * (brcrit * p.bt)^2 * jxbs[i]))\n",
-    "    println(T_VISC[i] / ( (brcrit / p.bt)^2 * jxbs[i]))\n",
-    "\n",
-    "    #T_EM ∝ S ξ̂ (br/Bφ)² Im[-Δ̂(Q)⁻¹]\n",
-    "    #T_visc ∝ 2 P (Q0 − Q)\n",
-    "\n",
-    "\n",
-    "    xmi = Qmin\n",
-    "    xma = Qmax\n",
-    "\n",
-    "    \"\"\"\n",
-    "    p1 = plot(Qs, imag.(Δs), label=\"Im(Δ)\", lw=2, xlim=(xmi, xma))\n",
-    "    #plot!(p1, Qs, real.(Δs), label=\"Re(Δ)\", lw=2)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Δ\")\n",
-    "    #title!(p1, \"Inner-layer Δ(Q)\")\n",
-    "    \"\"\"\n",
-    "\n",
-    "    p1 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(-1000,1000))\n",
-    "    plot!(p1, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "    xlabel!(p1, \"Q\")\n",
-    "    ylabel!(p1, \"Torque\")\n",
-    "\n",
-    "    #p2 = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    p2 = plot( Qs, T_VISC, label=\"T_V\", lw=2, xlim=(xmi, xma))#,ylim=(0,500))\n",
-    "    plot!(p2, Qs, T_EM, label=\"T_EM\", lw=2)\n",
-    "    vline!([Qpeak], label=\"peak Q\", linestyle=:dash)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"Torque\")\n",
-    "\n",
-    "    p3 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2, xlim=(xmi, xma),ylim=(-1e-2,1e-2))\n",
-    "    plot!(p3, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    ylabel!(p3, \"Torque Balance\")\n",
-    "    xlabel!(p3, \"Q\")\n",
-    "    vline!([Qpeak], label=\"Max Balance\", linestyle=:dash)\n",
-    "\n",
-    "    # find index, q val and bal val of the q closest to Q_e\n",
-    "    println(\"Q_e: \", -tb.params.Q_e)\n",
-    "    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e))\n",
-    "    q_closest_Q_e = Qs[idx_closest_Q_e]\n",
-    "    bal_closest_Q_e = bal[idx_closest_Q_e]\n",
-    "    println(\"Closest Q to Q_e: \", q_closest_Q_e, \" with balance value: \", bal_closest_Q_e, \" at index: \", idx_closest_Q_e)\n",
-    "    println(\"B crit: \", brcrit)\n",
-    "    vline!([-tb.params.Q_e], label=\"Q_e\", linestyle=:dashdot, color=:orange)\n",
-    "    vline!([q_closest_Q_e], label=\"Closest Q to Q_e\", linestyle=:dashdot, color=:purple)\n",
-    "\n",
-    "    #plot(p1, p2, p3, layout=(3,1), size=(800, 1000))\n",
-    "    plot(p3, layout=(1,1))#, size=(800, 1000))\n",
-    "\n",
     "end"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# plot jxb vs Qs for surface 1\n",
-    "# jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "surface_num = 5\n",
-    "h5open(h5path, \"r\") do file\n",
-    "    Δs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"delta\"])\n",
-    "    Qs = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"Q\"])\n",
-    "    bal = read(file[\"Tearing\"][\"CriticalResonantField\"][\"Scan\"][\"surface_$(surface_num)\"][\"balance\"])\n",
-    "    jxbs = [-imag(1.0 / (d + 1e-2)) for d in Δs]\n",
-    "    aplot = plot(Qs, jxbs, label=\"jxb\", lw=2)\n",
-    "    xlabel!(\"Q\")\n",
-    "    ylabel!(\"jxb\")\n",
-    "    title!(\"jxb vs Q for surface $(surface_num)\")\n",
-    "    println(\"max of balance: \", maximum(bal))\n",
-    "    println(\"max of jxb: \", maximum(jxbs))\n",
-    "    println(\"bcrit: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"]))\n",
-    "    println(\"Qpeak: \", read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"]))\n",
-    "    println(\"Q_e:   \", read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"]))\n",
-    "    # plot balance vs q with bcrit as vertical line\n",
-    "    p2 = plot(Qs, real.(bal), label=\"Re(balance)\", lw=2,xlim=(-.2,.2),ylim=(-1e-2,1e-2))\n",
-    "    plot!(p2, Qs, imag.(bal), label=\"Im(balance)\", lw=2)\n",
-    "    xlabel!(p2, \"Q\")\n",
-    "    ylabel!(p2, \"balance\")\n",
-    "    title!(p2, \"2P(Q0-Q)/jxb - surface $(surface_num)\")\n",
-    "    #vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"br_crit\"])], label=\"bcrit\", lw=2, lc=:red)\n",
-    "    # add Q_e as vertical line\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_e\"])[surface_num]], label=\"Q_e\", lw=2, lc=:green)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"PerSurface\"][\"Q_i\"])[surface_num]], label=\"Q_i\", lw=2, lc=:blue)\n",
-    "    vline!(p2, [read(file[\"Tearing\"][\"CriticalResonantField\"][\"Qpeak\"])[surface_num]], label=\"Qpeak\", lw=2, lc=:orange)\n",
-    "    #display(aplot)\n",
-    "    display(p2)\n",
-    "\n",
-    "end\n",
-    "\n",
-    "\"\"\"\n",
-    "Local maxima indices: [104, 103] with values: [80.15320925995013, 79.66428209429431] and corresponding Qs: [0.35175879396984927, 0.25125628140703515] closest Q to Q_e: -0.35175879396984927 closest Q to Q_i: 0.35175879396984927\n",
-    "Warning: The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead.\n",
-    "Selected local maximum index: 103 with value: 79.66428209429431 and corresponding Q: 0.25125628140703515\n",
-    "\"\"\""
+    "plot_all_vs_rational_q(h5path)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "10",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Plot bcrit vs q surface\n",
+    "# Plot All Inner-layer Δ(Q) and Torque Balance vs Q for each rational surface\n",
     "\n",
-    "# print all contents of bcrit /scan /surface 1/\n",
     "h5open(h5path, \"r\") do file\n",
     "    bcrit = file[\"Tearing\"][\"CriticalResonantField\"]\n",
     "\n",
@@ -368,17 +135,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
     "p_eq = Analysis.Equilibrium.plot_equilibrium_summary(h5path)\n",
     "p_ffs = Analysis.ForceFreeStates.plot_ffs_summary(h5path)\n",
-    "#p_pe = Analysis.PerturbedEquilibrium.plot_perturbed_equilibrium_summary(h5path)\n",
     "\n",
     "display(p_eq)\n",
-    "display(p_ffs)\n",
-    "#display(p_pe)"
+    "display(p_ffs)"
    ]
   }
  ],

From 674efa402a83310006b724a7fd92aa6b1ac5fbee Mon Sep 17 00:00:00 2001
From: ebursch <76970916+ebursch@users.noreply.github.com>
Date: Fri, 21 Aug 2026 10:53:21 -0400
Subject: [PATCH 09/14] Added bcrit profile inputs for angular momentum
 diffusivity

---
 .../gpec.toml                                 |   4 +-
 .../slayer_ex.ipynb                           |  10 +-
 .../TkMkr_D3Dlike_Hmode_kinetic.h5            | Bin 57472 -> 69792 bytes
 src/Tearing/Runner/run_slayer.jl              | 145 +++++++++++++++---
 4 files changed, 132 insertions(+), 27 deletions(-)

diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
index b00fad0cc..9b37ce9b4 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/gpec.toml
@@ -92,6 +92,6 @@ enabled = true                                          # Run CriticalResonantFi
 Qmin = -10                                              # Minimum normalized rotation scanned
 Qmax = 10                                               # Maximum normalized rotation scanned
 n = 2000                                                # Number of rotation points scanned
-viscous_input_type = "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
-viscous_input = 1                                       # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either an array across q surfaces, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
+viscous_input_type = "magnetic_prandtl_number"          # "angular_momentum_diffusivity"     # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
+viscous_input = "test_ang_mom_diff"                     # Either Prandlt number or angular momentum diffusivity (based on viscous_input_type). Takes in either a string name for the .h5 profile file, a single value for all, or false, which falls back on chi_perp ~ chi_e, electron thermal diffusivity.
 store_scan = true                                       # Per surface torque and inner layer quantities
diff --git a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
index 4e59b802d..1b3ee30f5 100644
--- a/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
+++ b/examples/DIIID-like_SLAYER_and_bcrit_example/slayer_ex.ipynb
@@ -83,15 +83,21 @@
     "        sval = [read(scan[\"surface_$(i)\"][\"sval\"]) for i in eachindex(rational_q)]\n",
     "        Q0 = [read(scan[\"surface_$(i)\"][\"Q0\"]) for i in eachindex(rational_q)]\n",
     "        max_balance = maximum.(bal)\n",
+    "        #read eta from persurface\n",
+    "        eta = read(tearing[\"PerSurface\"][\"eta\"])\n",
+    "        # Calculate angular momentum diffusivity\n",
+    "        # P_here = (4π * 1e-7) * abs(chi_here) / eta_here\n",
+    "        ang_mom_diff = P .* eta / (4π * 1e-7)\n",
     "\n",
-    "        fig = plot(layout=(3, 2), size=(1000, 1200))\n",
+    "        fig = plot(layout=(4, 2), size=(1000, 1200))\n",
     "        plot!(fig[1], rational_q, bcrit; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Critical Resonant Field (T)\", legend=false)\n",
     "        plot!(fig[2], rational_q, max_balance; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Maximum (Torque Balance)\", legend=false)\n",
     "        plot!(fig[3], rational_q, P; marker=:circle,  lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"P\", legend=false)\n",
     "        plot!(fig[4], rational_q, lu; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Lundquist Number\", legend=false)\n",
     "        plot!(fig[5], rational_q, sval; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Magnetic Shear\", legend=false)\n",
     "        plot!(fig[6], rational_q, Q0; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Q0\", legend=false)\n",
-    "\n",
+    "        plot!(fig[7], rational_q, ang_mom_diff; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Angular Momentum Diffusivity\", legend=false)\n",
+    "        plot!(fig[8], rational_q, eta; marker=:circle, lw=2, xlabel=\"Rational Surface (q)\", ylabel=\"Resistivity (η)\", legend=false)\n",
     "        display(fig)\n",
     "        #return fig\n",
     "    end\n",
diff --git a/examples/DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5 b/examples/DIIID-like_ideal_example/TkMkr_D3Dlike_Hmode_kinetic.h5
index 2f084f080315cfd157a6c6ed58ddd06cd72bf2e3..4ee95ff2d875c73e8c03e421e9af12ce6393e823 100644
GIT binary patch
delta 885
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z^wuQBgP23~<UygEc<4ziil7IN;<2qp6pEmD(1Ymg&W;lB!SemQH}ht8UUgG!-FMW+
z#Fk9zNB#8;pGe>`=KRwh88XahZd(8!=`^OlG{%)=GK$OZnMwS>s!2(Z;FU>Uq{|Z~
zLJ%x~=ml9@m%JmA03!CgJb*~5pIB06J%IJP(GK2Q`IZ&nV<|k@VMMWeG1U(jh+V;8
zt8R2-%1k@~Cp857*jDbh9VvSSKQ^sm!O@oPx^cMTFgLM-tqahO@4DREebf9EPQ@dT
z%(?+;XUCq}XLQ4Dm!03<xTqv)6?k*LDM!Aa0|_i6K&92Kg6bAa9b^EGKVz$h!l@|*
zQvP#j6pv`ykColl1d@~vV#qff#0`s{JRJ?8NT~-0M&4dP$fD0*-@Jkol*%~v@%mL{
ztlB+|$JeYLgJ{3pd^Uh#%Z@$#`rR<rNTv6|>21u$m~8BQpu{8Lzt3cv`|m8=B@k1p
zc52ep=9Q?@kH@)^=JL9#rO$HhG<7Mjm!`NQE~?t?zJF>~)t4nMoyCGSpHZWUGu#nN
zWj!F;N+v_O%z~z77U$JMv7l!4T#o-uLX%5cd8sE^`(YSe(n(ikdHh^FG9!#)_SU7I
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delta 71
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Ck_^WH

diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index aa3756111..b05b6b403 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -53,7 +53,40 @@ function _load_profiles(control::SLAYERControl, dir_path::AbstractString)
                      cubic_interp(psi_xs, collect(Float64, v))
     chi_perp = _chi_spline(data.chi_e)
     chi_tor = _chi_spline(data.chi_phi)
-    return (profiles=profiles, chi_perp=chi_perp, chi_tor=chi_tor)
+
+    # If present, load viscosity data for the critical resonant field.
+    viscous_input = control.critical_resonant_field.viscous_input
+    if viscous_input isa AbstractString
+        profile_name = String(viscous_input)
+        isempty(profile_name) &&
+            error("run_slayer: CriticalResonantField.viscous_input is an empty profile name.")
+
+        viscous_data = HDF5.h5open(path, "r") do f
+            grp = control.profile_group == "/" ? f : f[control.profile_group]
+
+            haskey(grp, profile_name) ||
+                error("run_slayer: kinetic file '$path' is missing requested " *
+                      "CriticalResonantField profile '$profile_name'.")
+
+            collect(Float64, read(grp[profile_name]))
+        end
+
+        length(viscous_data) == npsi ||
+            error("run_slayer: CriticalResonantField profile '$profile_name' " *
+                  "has length $(length(viscous_data)), expected $npsi.")
+
+        viscous_input = cubic_interp(
+            collect(Float64, data.psi),
+            viscous_data
+        )
+    end
+
+    return (
+        profiles=profiles,
+        chi_perp=chi_perp,
+        chi_tor=chi_tor,
+        viscous_input=viscous_input
+    )
 end
 
 # ---------------------------------------------------------------------
@@ -356,10 +389,17 @@ end
     amplitude that can drive a tearing mode unstable.
 
     Returns a `CriticalResonantFieldResult` containing the critical resonant field
-    and the corresponding critical resoannt field values for each rational surface.
+    and the corresponding critical resonant field values for each rational surface.
 """
 
-function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_result=nothing, profiles=nothing, chi_prof=nothing)
+function run_critical_resonant_field(
+    equil, intr, ctrl;
+    dir_path="./",
+    slayer_result=nothing,
+    profiles=nothing,
+    chi_prof=nothing,
+    viscous_profile=nothing
+)
     slayer_ctrl = ctrl
     ctrl = slayer_ctrl.critical_resonant_field
     ctrl.enabled || return empty_critical_resonant_field_result()
@@ -372,11 +412,17 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
         slayer_result.params
     else
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+        throw(ArgumentError(
+            "CriticalResonantField requires SLAYERParameters; " *
+            "run SLAYER first or provide compatible params."
+        ))
     end
 
     all(p -> p isa SLAYERParameters, params) ||
-        throw(ArgumentError("CriticalResonantField requires SLAYERParameters; run SLAYER first or provide compatible params."))
+        throw(ArgumentError(
+            "CriticalResonantField requires SLAYERParameters; " *
+            "run SLAYER first or provide compatible params."
+        ))
 
     surface_index = Int[]
     Qpeak_vec = Float64[]
@@ -385,37 +431,77 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
     P_vec = Float64[]
     scan_data = NamedTuple[]
 
+    chi_vec = nothing
+    P_input = nothing
+    use_P = false
+
     if ctrl.viscous_input_type === "angular_momentum_diffusivity"
+
         if ctrl.viscous_input === false
             chi_vec = nothing
-            use_P = false
+
         elseif ctrl.viscous_input isa AbstractArray
+            length(ctrl.viscous_input) == length(params) ||
+                throw(ArgumentError(
+                    "CriticalResonantField viscous_input has length " *
+                    "$(length(ctrl.viscous_input)), expected $(length(params))."
+                ))
             chi_vec = ctrl.viscous_input
-            use_P = false
+
         elseif ctrl.viscous_input isa Number
-            chi_vec = fill(ctrl.viscous_input, length(params))
-            use_P = false
+            chi_vec = fill(Float64(ctrl.viscous_input), length(params))
+
+        elseif ctrl.viscous_input isa String
+            viscous_profile === nothing &&
+                throw(ArgumentError(
+                    "CriticalResonantField profile " *
+                    "'$(ctrl.viscous_input)' was not loaded."
+                ))
+            chi_vec = viscous_profile
+
         else
-            throw(ArgumentError("Invalid viscous_input for angular_momentum_diffusivity."))
+            throw(ArgumentError(
+                "Invalid viscous_input for angular_momentum_diffusivity."
+            ))
         end
 
     elseif ctrl.viscous_input_type === "magnetic_prandtl_number"
-        chi_vec = nothing
+
         use_P = true
+
         if ctrl.viscous_input isa AbstractArray
-            P_vec = ctrl.viscous_input
+            length(ctrl.viscous_input) == length(params) ||
+                throw(ArgumentError(
+                    "CriticalResonantField viscous_input has length " *
+                    "$(length(ctrl.viscous_input)), expected $(length(params))."
+                ))
+            P_input = ctrl.viscous_input
+
         elseif ctrl.viscous_input isa Number
-            P_vec = fill(ctrl.viscous_input, length(params))
+            P_input = fill(Float64(ctrl.viscous_input), length(params))
+
+        elseif ctrl.viscous_input isa String
+            viscous_profile === nothing &&
+                throw(ArgumentError(
+                    "CriticalResonantField profile " *
+                    "'$(ctrl.viscous_input)' was not loaded."
+                ))
+            P_input = viscous_profile
+
         elseif ctrl.viscous_input === false
             use_P = false
+
         else
-            throw(ArgumentError("Invalid viscous_input for magnetic_prandtl_number."))
+            throw(ArgumentError(
+                "Invalid viscous_input for magnetic_prandtl_number."
+            ))
         end
 
     else
         throw(ArgumentError(
             "Invalid viscous_input_type: $(ctrl.viscous_input_type). " *
-            "Must be 'angular_momentum_diffusivity' or 'magnetic_prandtl_number'."
+            "Must be 'angular_momentum_diffusivity' or " *
+            "'magnetic_prandtl_number'."
         ))
     end
 
@@ -427,20 +513,29 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
         eta_here = p.eta
 
         if use_P
-            P_here = P_vec[isurf]
+            P_here = P_input isa AbstractArray ?
+                     Float64(P_input[isurf]) :
+                     _eval(P_input, psi_here)
+
         elseif chi_vec === nothing
-            try
-                chi_here = _eval(chi_prof, psi_here)
-            catch
+            if chi_prof === nothing
                 @warn "CriticalResonantField: chi_prof is not provided, using control chi_perp as fallback."
                 chi_here = slayer_ctrl.chi_perp
+            else
+                chi_here = _eval(chi_prof, psi_here)
             end
+
             P_here = (4π * 1e-7) * abs(chi_here) / eta_here
+
         else
-            chi_here = chi_vec[isurf]
+            chi_here = chi_vec isa AbstractArray ?
+                       Float64(chi_vec[isurf]) :
+                       _eval(chi_vec, psi_here)
+
             P_here = (4π * 1e-7) * abs(chi_here) / eta_here
         end
 
+
         if P_here < 1
             @warn "CriticalResonantField: P < 1 at surface $isurf (P = $P_here)."
         end
@@ -454,7 +549,7 @@ function run_critical_resonant_field(equil, intr, ctrl; dir_path="./", slayer_re
             p.sval_r
         )
 
-        Qs, bal, Qpeak, br_crit, Qpeak_ind, Δs =
+        Qs, bal, Qpeak, br_crit, _, Δs =
             torque_balance_scan(
                 tb;
                 Qmin=ctrl.Qmin,
@@ -607,11 +702,15 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
 
     rational_psi = Float64[surfaces[p.ising].psifac for p in params]
     rational_q = Float64[surfaces[p.ising].q for p in params]
-    # include critical resonant filed workflow here
+    # include critical resonant field workflow here
     if control.critical_resonant_field.enabled
         slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
         crf_result = run_critical_resonant_field(equil, surfaces, control;
-            dir_path=dir_path, slayer_result=slayer_result, profiles=profiles, chi_prof=chi_perp)
+            dir_path=dir_path,
+            slayer_result=slayer_result,
+            profiles=profiles,
+            chi_prof=chi_perp,
+            viscous_profile=loaded.viscous_input)
         combined_result = SLAYERResult(
             slayer_result.enabled,
             slayer_result.control,

From 4f713fc9d5d0251fcd365a6c5504d02118c7873b Mon Sep 17 00:00:00 2001
From: Evan Bursch <evanbursch@gmail.com>
Date: Tue, 6 Oct 2026 11:21:20 -0400
Subject: [PATCH 10/14] Tearing - BUGFIX - Evaluate the critical resonant field
 torque balance on Cole's Q axis
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

solve_inner mirrors the real-Q axis, so the torque balance paired a mirrored
Δ with an unmirrored Q0 and put the diamagnetic poles at −Q_e, −Q_i. Map
back with conj(Δ(−Q)) so the branch lies between Q_e and Q0 as in Cole and
Fitzpatrick 2006 and Fortran gslayer.f. Replace the two-largest-samples
search with true local maxima, reject maxima within one grid step of a pole,
derive the scan window from Q0, Q_e, Q_i as gslayer.f does, and carry κ̂
explicitly (held at 2/s² for Fortran parity). Fix the header equation and
attach the docstrings.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 src/InnerLayer/SLAYER/Riccati.jl              |   1 +
 .../CriticalResonantField.jl                  |   8 +-
 .../CriticalResonantField/TorqueBalance.jl    | 201 +++++++-----------
 src/Tearing/Tearing.jl                        |   4 +-
 4 files changed, 86 insertions(+), 128 deletions(-)

diff --git a/src/InnerLayer/SLAYER/Riccati.jl b/src/InnerLayer/SLAYER/Riccati.jl
index 87781259b..373180e24 100644
--- a/src/InnerLayer/SLAYER/Riccati.jl
+++ b/src/InnerLayer/SLAYER/Riccati.jl
@@ -225,6 +225,7 @@ function solve_inner(::SLAYERModel{:fitzpatrick},
     # growth-rate roots are identical to those of Δ̂_s(ĝ); it only reflects
     # the off-root residual surface, fixing the integration-path orientation
     # so |Δ| contours are consistent across the scan plane.
+    # Real-Q callers see a mirrored axis; the critical resonant field maps back via conj(Δ(−Q)).
     Q_c = im * conj(ComplexF64(Q))
 
     # Boundary condition at p_start
diff --git a/src/Tearing/CriticalResonantField/CriticalResonantField.jl b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
index b51360cd0..0cc09daf2 100644
--- a/src/Tearing/CriticalResonantField/CriticalResonantField.jl
+++ b/src/Tearing/CriticalResonantField/CriticalResonantField.jl
@@ -7,16 +7,12 @@
 
 module CriticalResonantField
 
-using LinearAlgebra
-using StaticArrays
 using Printf
 
-using ..InnerLayer
-using ..InnerLayer: InnerLayerModel, solve_inner, GGJModel, GGJParameters,
-    SLAYERModel, SLAYERParameters
+using ..InnerLayer: InnerLayerModel, solve_inner
 
 include("TorqueBalance.jl")
 
-export TorqueBalance, torque_balance_value, torque_balance_scan
+export TorqueBalance, cole_delta, torque_balance_value, torque_balance_window, torque_balance_scan
 
 end # module CriticalResonantField
diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index 76042479d..c78772f5e 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -1,149 +1,110 @@
 # TorqueBalance.jl
 #
-# `TorqueBalance` solves the torque balance eqution for each rational surface.
-# It follows the derivation found in Cole PopP 2006. For simplicity, the script
-# uses equation 62 of Cole. This can be improved by incorporating the true
-# outer-layer Δ' from the perturbed equilibrium and then solving equation 61.
+# Error-field penetration threshold from the steady-state torque balance at a
+# rational surface (Cole and Fitzpatrick, Phys. Plasmas 13, 032503 (2006), Sec. IV).
+# The electromagnetic and viscous torques balance when (Cole Eq. 61)
 #
-# The viscous torque is:
+#   Im[Δ(Q)] / |α + Δ(Q)|² = 2·P·(Q0 − Q) / (S·κ̂·(b_r/B_φ)²),
 #
-#   T_v = 2 · P (Q_0 - Q) / ((S kappa^hat) · (b_r(r_s)/B_phi))^2
+# with κ̂ = [2/s(r_s)]² ∫_{r_s}^{a} [μ(r_s)/μ(r)] dr/r. Balance is lost when no Q
+# satisfies this, so the critical field is (Cole Eq. 62)
 #
-# The electromagnetic torque is:
+#   (b_r/B_φ)²_crit = max_Q 2·P·(Q0 − Q) / (S·κ̂·Im[−1/(α + Δ(Q))]).
 #
-#   T_em = Im[Δ_inner(Q)] / |alpha + Δ_inner(Q)|^2
-#
-# Now solving for critical resonant field, we have:
-#
-#   (b_r(r_s)/B_phi))^2_crit = max(2 · P (Q_0 - Q) / ((S kappa^hat) · Im[-Δ_inner(Q)^-1])
-#
-# Normalizations, definitions, and other conventions are taken from the Cole paper.
-# The critical resonant field is found at each rational surface. For each, the script
-# scans over a range of Q values and finds the maximum value of the right-hand side of
-# the equation above.
+# As in Fortran gslayer.f, the viscosity integral is taken as 1/2 (κ̂ = 2/s²) and α
+# is kept finite at 1e-2. Q is on Cole's axis: the electron and ion diamagnetic
+# frequencies sit at Q = Q_e and Q = Q_i (see `cole_delta`).
+
+# Finite stand-in for α = S^(-1/3)·(−r_s Δ'_s) ≪ 1; b_crit moves ~4% over 1e-4 to 1e-1.
+const TORQUE_BALANCE_ALPHA = 1e-2
 
 """
-    TorqueBalance{M<:InnerLayerModel, P}
+    TorqueBalance{M<:InnerLayerModel,P}
 
-Per-surface torque balance data: `(model, params, Q0, P, lu, sval)`.
+Torque-balance inputs at one rational surface.
 
-"""
+## Fields
 
+  - `model`     -- inner-layer model passed to `solve_inner`
+  - `params`    -- that model's layer parameters at the surface
+  - `Q0`        -- normalized natural E×B rotation of the m/n mode, τ_k·n·ω_E
+  - `P`         -- magnetic Prandtl number τ_R/τ_V (the layer's P_φ)
+  - `lu`        -- Lundquist number S
+  - `kappa_hat` -- Cole's slab-to-tokamak factor κ̂ (Eq. 61)
+"""
 struct TorqueBalance{M<:InnerLayerModel,P}
     model::M
     params::P
     Q0::Float64
     P::Float64
     lu::Float64
-    sval::Float64
-end
-
-function torque_balance_value(tb::TorqueBalance, Q::Number)
-    Δ = solve_inner(tb.model, tb.params, ComplexF64(Q)).tearing
-    alpha = 1e-2 # Equation 62 of Cole PopP 2006 takes limit of alpha << 1. Set at 1e-2 but more accurate method is alpha = S^(-1/3) * (-r_s Δ'_s)
-    jxb = -imag(1.0 / (Δ + alpha))
-    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
+    kappa_hat::Float64
 end
 
 """
-    torque_balance_scan(model::InnerLayerModel, params::InnerLayerParameters, Q0::Real, P::Real,
-        lu::Real, sval::Real;Qmin=-10.0, Qmax=10.0, n=200) -> (Qs, bal, Qs_positive, bal_positive,
-        Qpeak, br_crit, Qpeak_ind, Δs)
+    cole_delta(model, params, Q::Real) -> ComplexF64
 
-Scan over a range of Q values to find the maximum of the torque balance equation.
-Returns the Q values, torque balance values, positive Q values, positive torque balance values,
-the Q value at the peak, the critical resonant field, the index of the peak Q value, and the Δ values for each Q.
+Inner-layer Δ at real frequency `Q` on Cole's axis. `solve_inner` evaluates the layer
+at `i·conj(Q)`, which mirrors the real axis, so Cole's Δ(Q) is `conj(Δ_solve_inner(−Q))`.
 """
+cole_delta(model::InnerLayerModel, params, Q::Real) =
+    conj(solve_inner(model, params, ComplexF64(-Q)).tearing)
 
-function torque_balance_scan(tb; Qmin=-10.0, Qmax=10.0, n=2000)
-    Qs = range(Qmin, Qmax; length=n)
-    torque_out = [torque_balance_value(tb, q) for q in Qs]
-    bal = [x[1] for x in torque_out]
-    Δs = [x[2] for x in torque_out]
-    positive = isfinite.(bal) .& (bal .> 0.0)
-
-    if !any(positive)
-        @warn "No positive torque balance found in the specified range. Try increasing the number of Q samples scanned or adjusting the range."
-        return Qs, bal, NaN, NaN, NaN, Δs
-    end
-
-    # Find the highest point, then remove candidates within ΔQ of it.
-    idx_maxima = findall(isfinite.(bal) .& (bal .> 0))
-    sort!(idx_maxima; by=i -> bal[i], rev=true)
-    selected = Int[]
-    min_ΔQ = 0.001 * abs(Qmax - Qmin)
-
-    for i in idx_maxima
-        if all(abs(Qs[i] - Qs[j]) > min_ΔQ for j in selected)
-            push!(selected, i)
-        end
-        length(selected) == 2 && break
-    end
-
-    if isempty(selected)
-        @warn "No usable positive torque-balance maximum found. Try increasing the number of Q samples scanned or adjusting the range."
-        return Qs, bal, NaN, NaN, NaN, Δs
-    end
-
-    idx_maxima = selected
-    maxima = bal[idx_maxima]
-    Qs_maxima = Qs[idx_maxima]
+"""
+    torque_balance_value(tb::TorqueBalance, Q::Real) -> (bal, Δ)
 
-    # find index, q val and bal val of the q closest to Q_e
-    idx_closest_Q_e = argmin(abs.(Qs .+ tb.params.Q_e)) # + Q_e since Q_e = -omega_e * Qconv
-    q_closest_Q_e = Qs[idx_closest_Q_e]
-    bal_closest_Q_e = bal[idx_closest_Q_e]
+Right-hand side of Cole Eq. 62 before the maximum, `bal = 2·P·(Q0 − Q) / Im[−1/(α + Δ)]`,
+and the layer `Δ(Q)` it used.
+"""
+function torque_balance_value(tb::TorqueBalance, Q::Real)
+    Δ = cole_delta(tb.model, tb.params, Q)
+    jxb = -imag(1.0 / (Δ + TORQUE_BALANCE_ALPHA))
+    return 2.0 * tb.P * (tb.Q0 - Q) / jxb, Δ
+end
 
-    # find index, q val and bal val of the q closest to Q_i
-    idx_closest_Q_i = argmin(abs.(Qs .+ tb.params.Q_i)) # + Q_i since Q_i = -omega_i * Qconv
-    q_closest_Q_i = Qs[idx_closest_Q_i]
-    bal_closest_Q_i = bal[idx_closest_Q_i]
+"""
+    torque_balance_window(Q0, Q_e, Q_i) -> (Qmin, Qmax)
 
-    println(
-        "Highest Qs: ",
-        [@sprintf("%.2f", q) for q in Qs_maxima],
-        ", Closest Q to Q_e: ",
-        @sprintf("%.2f", q_closest_Q_e),
-        " closest Q to Q_i: ",
-        @sprintf("%.2f", q_closest_Q_i)
-    )
+Q range bracketing the torque-balance branch between the natural rotation `Q0` and the
+electron diamagnetic pole `Q_e` (the rule of Fortran gslayer.f).
+"""
+function torque_balance_window(Q0::Real, Q_e::Real, Q_i::Real)
+    Q0 > Q_e && return (1.05 * Q_e, 2.0 * Q0)
+    Qmin = Q0 > 0 ? 0.8 * Q_i : 1.5 * min(Q0, Q_i)
+    return (Qmin, 0.95 * Q_e)
+end
 
-    # check if 1st q_maxima is same as Q_e or Q_i from p
-    if idx_maxima[1] == idx_closest_Q_e || idx_maxima[1] == idx_closest_Q_i
-        if length(idx_maxima) < 2
-            @warn "The first local maximum corresponds to a pole from Q_e or Q_i, but there is no second local maximum to select. Try increasing the number of Q samples scanned or adjusting the range."
-            return Qs, bal, NaN, NaN, NaN, Δs
-        end
-        @warn "The first local maximum may correspond to an electron or ion diamagnetic resonance. Selecting the second local maximum instead."
-        if idx_maxima[2] == idx_closest_Q_e || idx_maxima[2] == idx_closest_Q_i
-            @warn "Both the first and second local maxima correspond to poles from Q_e or Q_i. Unable to select a valid local maximum. Try increasing the number of Q samples scanned or adjusting the range."
-            return Qs, bal, NaN, NaN, NaN, Δs
-        end
-        idx_maximum = idx_maxima[2]
-        maximum = bal[idx_maximum]
-        Qmaximum = Qs[idx_maximum]
-    else
-        idx_maximum = idx_maxima[1]
-        maximum = bal[idx_maximum]
-        Qmaximum = Qs[idx_maximum]
+"""
+    torque_balance_scan(tb::TorqueBalance; Qmin=nothing, Qmax=nothing, n=2000)
+        -> (Qs, bal, Qpeak, br_crit, idx_peak, Δs)
+
+Sample `torque_balance_value` on `n` uniform real Q points and return the critical
+normalized field `br_crit = b_r/B_φ` (Cole Eq. 62) at the largest positive interior local
+maximum of `bal`, located at `Qpeak = Qs[idx_peak]`. A maximum within one grid step of
+the diamagnetic poles `Q_e`, `Q_i` is discarded as a pole artifact. `Qmin`/`Qmax`
+default to `torque_balance_window`. Returns NaN for `Qpeak`, `br_crit` and 0 for
+`idx_peak` when no valid maximum is found.
+"""
+function torque_balance_scan(tb::TorqueBalance; Qmin=nothing, Qmax=nothing, n::Integer=2000)
+    p = tb.params
+    wmin, wmax = torque_balance_window(tb.Q0, p.Q_e, p.Q_i)
+    Qs = range(something(Qmin, wmin), something(Qmax, wmax); length=n)
+    out = [torque_balance_value(tb, Q) for Q in Qs]
+    bal = first.(out)
+    Δs = last.(out)
+
+    dQ = step(Qs)
+    near_pole(Q) = abs(Q - p.Q_e) <= dQ || abs(Q - p.Q_i) <= dQ
+    peaks = [i for i in 2:(n-1) if isfinite(bal[i]) && bal[i] > 0 &&
+             bal[i-1] < bal[i] && bal[i] >= bal[i+1] && !near_pole(Qs[i])]
+    if isempty(peaks)
+        @warn "CriticalResonantField: no positive torque-balance maximum on " *
+              "Q ∈ [$(first(Qs)), $(last(Qs))] at the $(p.m)/$(p.n) surface."
+        return Qs, bal, NaN, NaN, 0, Δs
     end
-
-    br_crit = sqrt(maximum / tb.lu * (tb.sval^2 / 2.0))
-
-    println(
-        "Critical Resonant Field at ",
-        tb.params.m,
-        "/",
-        tb.params.n,
-        " surface: ",
-        @sprintf("%.2e", br_crit),
-        " T at index: ",
-        idx_maximum,
-        " with value: ",
-        @sprintf("%.2f", maximum),
-        " and corresponding Q: ",
-        @sprintf("%.2f", Qmaximum)
-    )
-
-    return Qs, bal, Qmaximum, br_crit, idx_maximum, Δs
+    idx = peaks[argmax(bal[peaks])]
+    br_crit = sqrt(bal[idx] / (tb.lu * tb.kappa_hat))
+    @info @sprintf("CriticalResonantField: %d/%d surface b_r/B_φ crit = %.3e at Q = %.3f",
+        p.m, p.n, br_crit, Qs[idx])
+    return Qs, bal, Qs[idx], br_crit, idx, Δs
 end
diff --git a/src/Tearing/Tearing.jl b/src/Tearing/Tearing.jl
index 3ebd35996..d4c225246 100644
--- a/src/Tearing/Tearing.jl
+++ b/src/Tearing/Tearing.jl
@@ -6,8 +6,8 @@
 #   InnerLayer  -- pure physics: Δ_inner(Q) for GGJ or SLAYER models
 #   Dispersion  -- physics-agnostic scan + contour-intersection root
 #                  extraction (consumes any InnerLayerModel)
-#   CriticalResonantField -- physics-agnostic scan + torque-balance root
-#                  extraction (consumes any InnerLayerModel)
+#   CriticalResonantField -- real-Q torque-balance scan for the critical
+#                  resonant field of error-field penetration
 #   Runner      -- user-facing orchestration: TOML config, profile
 #                  loading, HDF5 output, workflow hooks
 #

From baf49d768cabd2e8dc6f167e4cd5b63e6febf4ca Mon Sep 17 00:00:00 2001
From: Evan Bursch <evanbursch@gmail.com>
Date: Tue, 6 Oct 2026 11:21:20 -0400
Subject: [PATCH 11/14] Tearing - API - Take the critical resonant field
 Prandtl number from the layer P_tor
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Remove viscous_input and viscous_input_type: the torque balance now uses
each surface's SLAYER P_tor, so χ_φ (or a future τ_E closure) set in
InnerLayer flows through unchanged. Q0 gains the toroidal mode number,
τ_k·n·ω_E, matching Q_e and Q_i, and ω_E is read at each surface's own ψ.
Results use concrete types; HDF5 datasets are snake_case with metadata and
the scans are written only with store_scan. The CRF block moves into the
shipped SLAYER example.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/development/hdf5-conventions.md         |   2 +-
 examples/DIIID-like_SLAYER_example/gpec.toml |   8 +
 src/Tearing/Runner/Control.jl                |  71 +++--
 src/Tearing/Runner/HDF5Output.jl             |  88 +++---
 src/Tearing/Runner/Result.jl                 |  64 ++--
 src/Tearing/Runner/Runner.jl                 |   7 +-
 src/Tearing/Runner/run_slayer.jl             | 299 ++-----------------
 7 files changed, 165 insertions(+), 374 deletions(-)

diff --git a/docs/development/hdf5-conventions.md b/docs/development/hdf5-conventions.md
index c4631c984..692407c96 100644
--- a/docs/development/hdf5-conventions.md
+++ b/docs/development/hdf5-conventions.md
@@ -46,7 +46,7 @@ Top level (11 groups):
 | `PerturbedEquilibrium/` | `ForcingModes/`, `Response/`, `ResponseMatrices/`, `SingularCoupling/`, `Energies/`, control-surface spectra |
 | `KineticForces/` | `<method>/` (torque/energy profiles, `EnergyIntegrals/`, `KineticMatrices/`); multi-ion runs add `PerSpecies/<species>/<method>/` with the same per-method layout, summing to the top-level total |
 | `ErrorFields/` | `CoilSensitivities/` (per-coil-set control-surface spectra and their rigid shift/tilt derivatives, `DominantMode/` full-window projection); `MonteCarlo/` (intrinsic and corrected `\|δ\|` histograms over the sampled tolerances, per batch and averaged); `Risk/` (threshold density, `P(lock\|δ)`, locking probabilities, `ToleranceScan/`); `NTV/` (correction-coil overlap and NTV torque couplings per kAt) |
-| `Tearing/` | `PerSurface/` (+ `DpMatrix/`), `Roots/`, `LayerWidths/`, `Diagnostics/{ValidRoots,Poles,FilteredRoots}`, `Scan/Surface_<k>/` |
+| `Tearing/` | `PerSurface/` (+ `DpMatrix/`), `Roots/`, `LayerWidths/`, `Diagnostics/{ValidRoots,Poles,FilteredRoots}`, `Scan/Surface_<k>/`, `CriticalResonantField/` (+ `Scan/Surface_<k>/`) |
 | `SurfaceGeometries/` | `{Plasma,Wall}/{x,y,z}` point clouds |
 
 Reserved (documented, not yet written): `ForceFreeStates/Solutions/RiccatiIntegration/` — the third integrator backend slot alongside `ForwardIntegration` and `GalerkinIntegration`.
diff --git a/examples/DIIID-like_SLAYER_example/gpec.toml b/examples/DIIID-like_SLAYER_example/gpec.toml
index a8a99f4c7..b3efc474c 100644
--- a/examples/DIIID-like_SLAYER_example/gpec.toml
+++ b/examples/DIIID-like_SLAYER_example/gpec.toml
@@ -89,3 +89,11 @@ Q_re_range = [-2.0, 2.0]       # Scan box in the normalized Q plane, Re(Q) axis
 Q_im_range = [-0.5, 3.0]       # Scan box in the normalized Q plane, Im(Q) axis
 nre        = 41                # Grid resolution along the Re(Q) axis
 nim        = 31                # Grid resolution along the Im(Q) axis
+
+[SLAYER.CriticalResonantField]
+# Critical resonant field b_r/B_φ for error-field penetration at each SLAYER surface, from the
+# Cole-Fitzpatrick 2006 torque balance with P = P_tor of each layer. Qmin/Qmax may be set to
+# override the per-surface scan window derived from Q0, Q_e and Q_i.
+enabled    = true      # run the analysis after SLAYER
+n          = 2000      # number of Q samples per surface
+store_scan = false     # write the per-surface Q, torque balance and Δ samples to gpec.h5
diff --git a/src/Tearing/Runner/Control.jl b/src/Tearing/Runner/Control.jl
index d465b8cde..370ef04c6 100644
--- a/src/Tearing/Runner/Control.jl
+++ b/src/Tearing/Runner/Control.jl
@@ -4,44 +4,45 @@
 # growth-rate analysis. Populated either directly via the `@kwdef`
 # constructor or by parsing the `[SLAYER]` (and nested `[SLAYER.*]`)
 # section(s) of a `gpec.toml`.
-#
-# `CriticalResonantFieldControl` holds the user-facing knobs that drive the critical resonant field
-# analysis. Populated either directly via the `@kwdef` constructor or by parsing the `[CriticalResonantField]` section of a `gpec.toml`.
+
 """
     CriticalResonantFieldControl
 
-Configuration for the critical resonant field analysis. All fields are
-user-facing: read from the `[CriticalResonantField]` TOML section of a `gpec.toml` via
-`critical_resonant_field_control_from_toml`, or built directly via the `@kwdef` keyword
-constructor.
+Configuration for the critical resonant field (torque-balance) analysis, read from the
+`[SLAYER.CriticalResonantField]` TOML section via `critical_resonant_field_control_from_toml`
+or built with the `@kwdef` keyword constructor. The magnetic Prandtl number is the per-surface
+`P_tor` of the SLAYER layer parameters.
+
+## Fields
+
+  - `enabled`    -- run the analysis after SLAYER
+  - `Qmin`, `Qmax` -- override the real-Q scan window; `nothing` derives it per surface from Q0, Q_e and Q_i
+  - `n`          -- number of Q samples per surface
+  - `store_scan` -- write the per-surface Q, torque balance and Δ samples to `gpec.h5`
 """
 @kwdef struct CriticalResonantFieldControl
     enabled::Bool = false
-    Qmin::Float64 = -10.0
-    Qmax::Float64 = 10.0
-    n::Int = 200
-    viscous_input_type::String = "angular_momentum_diffusivity" # Either "angular_momentum_diffusivity" or "magnetic_prandtl_number"
-    viscous_input::Any = 1.0
+    Qmin::Union{Nothing,Float64} = nothing
+    Qmax::Union{Nothing,Float64} = nothing
+    n::Int = 2000
     store_scan::Bool = false
 end
 
-function critical_resonant_field_control_from_toml(section::AbstractDict)
-    flat = Dict{String,Any}()
-    for (k, v) in section
-        flat[k] = v
-    end
-
-    kwargs = Dict{Symbol,Any}()
-    for (k, v) in flat
-        sym = Symbol(k)
-        if sym in (:inner_model,)
-            kwargs[sym] = v isa Symbol ? v : Symbol(String(v))
-        else
-            kwargs[sym] = v
-        end
-    end
+"""
+    critical_resonant_field_control_from_toml(section::AbstractDict) -> CriticalResonantFieldControl
 
-    return CriticalResonantFieldControl(; kwargs...)
+Parse a `[SLAYER.CriticalResonantField]` TOML section. Unknown keys raise an error.
+"""
+function critical_resonant_field_control_from_toml(section::AbstractDict)
+    field_names = Set(String.(fieldnames(CriticalResonantFieldControl)))
+    unknown = [k for k in keys(section) if !(k in field_names)]
+    isempty(unknown) ||
+        throw(
+            ArgumentError("critical_resonant_field_control_from_toml: unknown keys " *
+                          "$(unknown) in [SLAYER.CriticalResonantField]. Known: " *
+                          "$(sort(collect(field_names))).")
+        )
+    return CriticalResonantFieldControl(; (Symbol(k) => v for (k, v) in section)...)
 end
 
 """
@@ -133,6 +134,11 @@ there is one consistent interface for resistive and kinetic profiles.
 
   - `store_scan`  -- write the full Q/Δ scan grid to HDF5. `false` by
     default to keep the output file small.
+
+# Critical resonant field
+
+  - `critical_resonant_field` -- `CriticalResonantFieldControl` from the
+    `[SLAYER.CriticalResonantField]` subsection; requires `inner_model = :slayer_fitzpatrick`
 """
 @kwdef struct SLAYERControl
     enabled::Bool = false
@@ -195,7 +201,6 @@ there is one consistent interface for resistive and kinetic profiles.
 
     store_scan::Bool = false
 
-    # Critical resonant field analysis. Enabled via `[SLAYER.CriticalResonantField]` TOML section.
     critical_resonant_field::CriticalResonantFieldControl = CriticalResonantFieldControl()
 end
 
@@ -231,6 +236,10 @@ function validate(ctrl::SLAYERControl)
         throw(ArgumentError("SLAYERControl: nre and nim must both be ≥ 2"))
     ctrl.amr_passes >= 0 ||
         throw(ArgumentError("SLAYERControl: amr_passes must be ≥ 0"))
+    !ctrl.critical_resonant_field.enabled || ctrl.inner_model === :slayer_fitzpatrick ||
+        throw(ArgumentError("SLAYERControl: CriticalResonantField requires inner_model=:slayer_fitzpatrick"))
+    ctrl.critical_resonant_field.n >= 3 ||
+        throw(ArgumentError("SLAYERControl: CriticalResonantField n must be ≥ 3"))
     return ctrl
 end
 
@@ -267,9 +276,7 @@ function slayer_control_from_toml(section::AbstractDict)
             haskey(v, "filter_above_poles") && (flat["filter_above_poles"] = v["filter_above_poles"])
             haskey(v, "filter_outside_re") && (flat["filter_outside_re"] = v["filter_outside_re"])
         elseif k == "CriticalResonantField" && v isa AbstractDict
-            flat["critical_resonant_field"] =
-                critical_resonant_field_control_from_toml(v)
-
+            flat["critical_resonant_field"] = critical_resonant_field_control_from_toml(v)
         else
             flat[k] = v
         end
diff --git a/src/Tearing/Runner/HDF5Output.jl b/src/Tearing/Runner/HDF5Output.jl
index 959d7088f..93ddde447 100644
--- a/src/Tearing/Runner/HDF5Output.jl
+++ b/src/Tearing/Runner/HDF5Output.jl
@@ -1,6 +1,6 @@
 # HDF5Output.jl
 #
-# Write a `SLAYERResult` or `CriticalResonantFieldResult` into an HDF5 group. Designed to be called by the
+# Write a `SLAYERResult` into an HDF5 group. Designed to be called by the
 # existing `PerturbedEquilibrium.write_outputs_to_HDF5` path — the
 # top-level GPEC runner wires that up; this file only defines the pure
 # writer.
@@ -15,7 +15,8 @@
 #   ├── Roots/              -- complex Q_root, omega_Hz, gamma_Hz
 #   ├── Diagnostics/        -- ValidRoots, Poles, FilteredRoots
 #   │                           (flat-plus-offsets ragged encoding)
-#   └── Scan/               -- optional: full Q/Δ scan data
+#   ├── Scan/               -- optional: full Q/Δ scan data
+#   └── CriticalResonantField/ -- optional: torque-balance b_r/B_φ crit per surface
 
 using HDF5
 
@@ -38,10 +39,6 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     # disjoint field sets, so readers must not have to infer it from the schema.
     attrs(g)["layer_model"] = result.enabled ? _layer_model_token(eltype(result.params)) : "none"
 
-    if result.critical_resonant_field.enabled
-        write_critical_resonant_field_hdf5!(g, result.critical_resonant_field)
-    end
-
     if !result.enabled    # nothing else to write
         _annotate_tearing!(g)
         return g
@@ -57,42 +54,28 @@ function write_slayer_hdf5!(parent::Union{HDF5.File,HDF5.Group},
     if result.control.store_scan && !isempty(result.scan_data)
         _write_scan_data!(g, result)
     end
+    result.critical_resonant_field.enabled && _write_critical_resonant_field!(g, result.critical_resonant_field)
     _annotate_tearing!(g)
     return g
 end
 
-function write_critical_resonant_field_hdf5!(parent::Union{HDF5.File,HDF5.Group},
-    result::CriticalResonantFieldResult)
-
-    g = create_group(parent, "CriticalResonantField")
-
-    g["surface_index"] = result.surface_index
-    g["Qpeak"] = result.Qpeak
-    g["br_crit"] = result.br_crit
-    g["Q0"] = result.Q0
-    g["P"] = result.P
-
-    if !isempty(result.scan_data)
-        scan_group = create_group(g, "Scan")
-        for d in result.scan_data
-            sg = create_group(scan_group, "surface_$(d.surface)")
-            sg["Q"] = d.Q
-            sg["balance"] = d.balance
-            sg["delta"] = d.delta
-            sg["Qpeak"] = d.Qpeak
-            sg["br_crit"] = d.br_crit
-
-            # Save inputs for analysis in post
-            for field in (:Q0, :P, :lu, :sval, :m, :n)
-                if field in keys(d)
-                    sg[String(field)] = getfield(d, field)
-                end
-            end
-        end
+# ---------- critical resonant field ----------
+function _write_critical_resonant_field!(g, crf::CriticalResonantFieldResult)
+    cg = create_group(g, "CriticalResonantField")
+    cg["rational_index"] = crf.rational_index
+    cg["q_peak"] = crf.q_peak
+    cg["br_crit"] = crf.br_crit
+    cg["q0"] = crf.q0
+    cg["p_phi"] = crf.p_phi
+    isempty(crf.scan) && return nothing
+    scan = create_group(cg, "Scan")
+    for (k, sc) in enumerate(crf.scan)
+        sg = create_group(scan, "Surface_$k")
+        sg["Q"] = sc.Q
+        sg["balance"] = sc.balance
+        sg["Delta"] = sc.Delta
     end
-
-    attrs(g)["kind"] = "critical_resonant_field"
-    return g
+    return nothing
 end
 
 # Token recorded in the Tearing group's layer_model attribute; keyed by the
@@ -144,8 +127,14 @@ const TEARING_H5_ANNOTATIONS = [
     "PerSurface/M" => (; long_name="Glasser-Greene-Johnson coefficient M per surface", dims=("surface",)),
     "PerSurface/tau_A" => (; long_name="Alfvén time τ_A per surface (GGJ layer parameters)", units="s", dims=("surface",)),
     "PerSurface/dVdpsi" => (; long_name="dV/dψ_N at each surface", units="m^3", dims=("surface",)),
-    "PerSurface/Delta_prime_matrix" => (; long_name="full complex Δ' matrix coupling the rational surfaces, ψ_N-referenced (GGJ path; identical to SingularSurfaces/Delta_prime_matrix)", dims=("surface_row", "surface_col")),
-    "PerSurface/Delta_prime_matrix_rs" => (; long_name="full complex Δ' matrix as used in the slab-layer matching, converted to the r_s reference length (K^(2α) on the diagonal; the ψ_N-referenced BVP matrix is SingularSurfaces/Delta_prime_matrix)", dims=("surface_row", "surface_col")),
+    "PerSurface/Delta_prime_matrix" => (;
+        long_name="full complex Δ' matrix coupling the rational surfaces, ψ_N-referenced (GGJ path; identical to SingularSurfaces/Delta_prime_matrix)",
+        dims=("surface_row", "surface_col")
+    ),
+    "PerSurface/Delta_prime_matrix_rs" => (;
+        long_name="full complex Δ' matrix as used in the slab-layer matching, converted to the r_s reference length (K^(2α) on the diagonal; the ψ_N-referenced BVP matrix is SingularSurfaces/Delta_prime_matrix)",
+        dims=("surface_row", "surface_col")
+    ),
     "Roots/Q_root" => (; long_name="complex dispersion-root normalized frequency Q (NaN = no root)", dims=("surface",)),
     "Roots/omega" =>
         (; long_name="mode rotation angular frequency ω = Re(Q)/τ_k of each root", units="rad/s", dims=("surface",)),
@@ -158,7 +147,21 @@ const TEARING_H5_ANNOTATIONS = [
     "LayerWidths/delta_s_over_d_beta" => (; long_name="complex dimensionless layer thickness δ_s/d_β", dims=("surface",)),
     "LayerWidths/delta_s" => (; long_name="complex resistive layer thickness δ_s (Riccati)", dims=("surface",)),
     "LayerWidths/delta_s_abs" => (; long_name="physical resistive layer thickness |δ_s|", units="m", dims=("surface",)),
-    "LayerWidths/d_beta" => (; long_name="β-weighted ion drift scale d_β", units="m", dims=("surface",))
+    "LayerWidths/d_beta" => (; long_name="β-weighted ion drift scale d_β", units="m", dims=("surface",)),
+    "CriticalResonantField/rational_index" => (; long_name="rational-surface index of each row", dims=("surface",)),
+    "CriticalResonantField/q_peak" =>
+        (; long_name="normalized frequency Q (Cole axis) at the torque-balance maximum (NaN = no maximum)", units="1", dims=("surface",)),
+    "CriticalResonantField/br_crit" =>
+        (; long_name="critical normalized resonant field b_r/B_φ for error-field penetration (Cole-Fitzpatrick 2006 Eq. 62; NaN = no maximum)",
+            units="1", dims=("surface",)),
+    "CriticalResonantField/q0" => (; long_name="normalized natural E×B rotation Q0 = τ_k·n·ω_E", units="1", dims=("surface",)),
+    "CriticalResonantField/p_phi" => (; long_name="magnetic Prandtl number used in the torque balance (the layer P_tor)", units="1", dims=("surface",))
+]
+
+const TEARING_CRF_SCAN_H5_ANNOTATIONS = [
+    "Q" => (; long_name="sampled real normalized frequency Q (Cole axis)", units="1"),
+    "balance" => (; long_name="torque balance 2·P·(Q0 − Q)/Im[−1/(α + Δ)]", units="1"),
+    "Delta" => (; long_name="complex inner-layer Δ(Q) on the Cole axis", units="1")
 ]
 
 const TEARING_RAGGED_H5_ANNOTATIONS = [
@@ -185,6 +188,11 @@ function _annotate_tearing!(g)
             ann.annotate!(g["Diagnostics"][sub], TEARING_RAGGED_H5_ANNOTATIONS)
         end
     end
+    if haskey(g, "CriticalResonantField/Scan")
+        for sub in keys(g["CriticalResonantField/Scan"])
+            ann.annotate!(g["CriticalResonantField/Scan"][sub], TEARING_CRF_SCAN_H5_ANNOTATIONS)
+        end
+    end
     if haskey(g, "Scan")
         for sub in keys(g["Scan"])
             sg = g["Scan"][sub]
diff --git a/src/Tearing/Runner/Result.jl b/src/Tearing/Runner/Result.jl
index ef0a2e5cd..5bd6861f3 100644
--- a/src/Tearing/Runner/Result.jl
+++ b/src/Tearing/Runner/Result.jl
@@ -4,40 +4,53 @@
 # per-surface layer parameters, the extracted tearing eigenvalues, and (if
 # `control.store_scan`) the full Q-plane scan data for plotting.
 #
-# `CriticalResonantFieldResult` packages the output of the critical resonant field analysis run:
-# per-surface critical resoant field. If `control.store_scan` is true, the full Q scan data,
-# viscous torque, and electromagnetic torque are also stored for plotting.
+# `CriticalResonantFieldResult` packages the per-surface critical resonant field
+# from the torque-balance analysis (and, if requested, its Q scans).
 
 """
-    CriticalResonantFieldResult
+    CriticalResonantFieldScan
+
+Real-Q torque-balance samples at one surface.
 
-Output of `run_critical_resonant_field`. Carries both summary critical resonant field values and if `control.store_scan` is true, the full Q scan data, viscous torque, and electromagnetic torque for plotting.
+## Fields
+
+  - `Q`       -- sampled normalized frequencies (Cole's axis)
+  - `balance` -- torque-balance value 2·P·(Q0 − Q)/Im[−1/(α + Δ)] at each Q
+  - `Delta`   -- inner-layer Δ(Q) at each Q
 """
+struct CriticalResonantFieldScan
+    Q::Vector{Float64}
+    balance::Vector{Float64}
+    Delta::Vector{ComplexF64}
+end
+
+"""
+    CriticalResonantFieldResult
 
+Output of `run_critical_resonant_field`, one entry per SLAYER surface.
+
+## Fields
+
+  - `enabled`        -- the analysis ran
+  - `rational_index` -- rational-surface index of each entry
+  - `q_peak`         -- normalized frequency Q at the torque-balance maximum (NaN if none)
+  - `br_crit`        -- critical normalized resonant field b_r/B_φ (NaN if none)
+  - `q0`             -- normalized natural E×B rotation τ_k·n·ω_E
+  - `p_phi`          -- magnetic Prandtl number used (the layer `P_tor`)
+  - `scan`           -- per-surface Q scans; empty unless `store_scan`
+"""
 struct CriticalResonantFieldResult
     enabled::Bool
-    params::AbstractVector{<:InnerLayerParameters}
-    surface_index::Vector{Int}
-    Qpeak::Vector{Float64}
+    rational_index::Vector{Int}
+    q_peak::Vector{Float64}
     br_crit::Vector{Float64}
-    Q0::Vector{Float64}
-    P::Vector{Float64}
-    scan_data::Vector{NamedTuple}
-end
-
-function empty_critical_resonant_field_result()
-    return CriticalResonantFieldResult(
-        false,
-        InnerLayerParameters[],
-        Int[],
-        Float64[],
-        Float64[],
-        Float64[],
-        Float64[],
-        NamedTuple[]
-    )
+    q0::Vector{Float64}
+    p_phi::Vector{Float64}
+    scan::Vector{CriticalResonantFieldScan}
 end
 
+empty_critical_resonant_field_result() =
+    CriticalResonantFieldResult(false, Int[], Float64[], Float64[], Float64[], Float64[], CriticalResonantFieldScan[])
 
 """
     SLAYERResult
@@ -60,6 +73,7 @@ downstream inspection and HDF5 output.
     `delta_prime_to_rs_reference`, written as `PerSurface/Delta_prime_matrix_rs`);
     GGJ path: the ψ_N matrix unchanged (written as `PerSurface/Delta_prime_matrix`)
   - `Q_root`              -- tearing eigenvalue(s) in normalized Q
+
       + length `nsurfaces` in `:uncoupled` mode
       + length `1` in `:coupled` mode (global eigenvalue normalized by
         `params[1].tauk`)
@@ -74,6 +88,8 @@ downstream inspection and HDF5 output.
     plus FKR / visco-resistive sanity scales. Empty when disabled.
   - `scan_data`           -- scan results (per-surface in uncoupled, single
     entry in coupled). Empty unless `control.store_scan == true`.
+  - `critical_resonant_field` -- `CriticalResonantFieldResult`; `enabled=false`
+    unless `control.critical_resonant_field.enabled`
 """
 struct SLAYERResult
     enabled::Bool
diff --git a/src/Tearing/Runner/Runner.jl b/src/Tearing/Runner/Runner.jl
index 2d45b3d54..be4b74391 100644
--- a/src/Tearing/Runner/Runner.jl
+++ b/src/Tearing/Runner/Runner.jl
@@ -27,10 +27,10 @@ using LinearAlgebra
 using Statistics: mean, median
 using HDF5
 
-
 using FastInterpolations: cubic_interp
 using ..Utilities
 using ..Utilities: KineticProfiles
+using ...Equilibrium: read_kinetic_file, KineticProfileData
 using ..InnerLayer
 using ..InnerLayer:
     InnerLayerParameters, InnerLayerResponse, solve_inner,
@@ -38,8 +38,6 @@ using ..InnerLayer:
     GGJModel, GGJParameters,
     LayerWidths, slayer_layer_thickness
 import ..build_ggj_inputs   # defined at the Tearing level (needs ForceFreeStates)
-import ...Equilibrium as Equilibrium
-using ...Equilibrium: read_kinetic_file, KineticProfileData, load_kinetic_profiles
 using ..Dispersion
 using ..Dispersion: SurfaceCoupling, surface_coupling,
     MultiSurfaceCoupling, multi_surface_coupling,
@@ -59,8 +57,7 @@ export SLAYERResult, empty_slayer_result
 export run_slayer, run_slayer_from_inputs, ggj_inner_deltas
 export write_slayer_hdf5!
 export CriticalResonantFieldControl, critical_resonant_field_control_from_toml
-export CriticalResonantFieldResult, empty_critical_resonant_field_result
+export CriticalResonantFieldScan, CriticalResonantFieldResult, empty_critical_resonant_field_result
 export run_critical_resonant_field
-export write_critical_resonant_field_hdf5!
 
 end # module Runner
diff --git a/src/Tearing/Runner/run_slayer.jl b/src/Tearing/Runner/run_slayer.jl
index 7093d96f6..17403308f 100644
--- a/src/Tearing/Runner/run_slayer.jl
+++ b/src/Tearing/Runner/run_slayer.jl
@@ -53,40 +53,7 @@ function _load_profiles(control::SLAYERControl, dir_path::AbstractString)
                      cubic_interp(psi_xs, collect(Float64, v))
     chi_perp = _chi_spline(data.chi_e)
     chi_tor = _chi_spline(data.chi_phi)
-
-    # If present, load viscosity data for the critical resonant field.
-    viscous_input = control.critical_resonant_field.viscous_input
-    if viscous_input isa AbstractString
-        profile_name = String(viscous_input)
-        isempty(profile_name) &&
-            error("run_slayer: CriticalResonantField.viscous_input is an empty profile name.")
-
-        viscous_data = HDF5.h5open(path, "r") do f
-            grp = control.profile_group == "/" ? f : f[control.profile_group]
-
-            haskey(grp, profile_name) ||
-                error("run_slayer: kinetic file '$path' is missing requested " *
-                      "CriticalResonantField profile '$profile_name'.")
-
-            collect(Float64, read(grp[profile_name]))
-        end
-
-        length(viscous_data) == npsi ||
-            error("run_slayer: CriticalResonantField profile '$profile_name' " *
-                  "has length $(length(viscous_data)), expected $npsi.")
-
-        viscous_input = cubic_interp(
-            collect(Float64, data.psi),
-            viscous_data
-        )
-    end
-
-    return (
-        profiles=profiles,
-        chi_perp=chi_perp,
-        chi_tor=chi_tor,
-        viscous_input=viscous_input
-    )
+    return (profiles=profiles, chi_perp=chi_perp, chi_tor=chi_tor)
 end
 
 # ---------------------------------------------------------------------
@@ -429,223 +396,37 @@ function ggj_inner_deltas(params::AbstractVector{GGJParameters}, Q::Number;
     end
     return out
 end
+
 # ---------------------------------------------------------------------
-# Critical Resonant Field (Torque-Balance) Workflow
+# Critical resonant field (torque balance)
 # ---------------------------------------------------------------------
 """
-    Critical Resonant Field (Torque-Balance) Workflow
-
-    The critical resonant field is the minimum resonant magnetic perturbation
-    amplitude that can drive a tearing mode unstable.
+    run_critical_resonant_field(params, rational_psi, profiles, ctrl) -> CriticalResonantFieldResult
 
-    Returns a `CriticalResonantFieldResult` containing the critical resonant field
-    and the corresponding critical resonant field values for each rational surface.
+Critical normalized resonant field b_r/B_φ for error-field penetration at each SLAYER
+surface, from the torque balance of Cole and Fitzpatrick, Phys. Plasmas 13, 032503 (2006),
+Eq. 62. The magnetic Prandtl number is the layer's `P_tor`, and the natural rotation is the
+E×B frequency of the m/n mode, Q0 = τ_k·n·ω_E, with ω_E read from `profiles` at
+`rational_psi`.
 """
-
-function run_critical_resonant_field(
-    equil, intr, ctrl;
-    dir_path="./",
-    slayer_result=nothing,
-    profiles=nothing,
-    chi_prof=nothing,
-    viscous_profile=nothing
-)
-    slayer_ctrl = ctrl
-    ctrl = slayer_ctrl.critical_resonant_field
+function run_critical_resonant_field(params::AbstractVector{SLAYERParameters}, rational_psi::AbstractVector{<:Real},
+    profiles::KineticProfiles, ctrl::CriticalResonantFieldControl)
     ctrl.enabled || return empty_critical_resonant_field_result()
-
-    _eval(x, ψ) = x isa Real ? Float64(x) : Float64(x(ψ))
-
-    profiles === nothing &&
-        throw(ArgumentError("CriticalResonantField requires kinetic profiles."))
-
-    params = if slayer_result !== nothing && slayer_result.enabled && !isempty(slayer_result.params)
-        slayer_result.params
-    else
-        throw(ArgumentError(
-            "CriticalResonantField requires SLAYERParameters; " *
-            "run SLAYER first or provide compatible params."
-        ))
-    end
-
-    all(p -> p isa SLAYERParameters, params) ||
-        throw(ArgumentError(
-            "CriticalResonantField requires SLAYERParameters; " *
-            "run SLAYER first or provide compatible params."
-        ))
-
-    surface_index = Int[]
-    Qpeak_vec = Float64[]
-    br_vec = Float64[]
-    Q0_vec = Float64[]
-    P_vec = Float64[]
-    scan_data = NamedTuple[]
-
-    chi_vec = nothing
-    P_input = nothing
-    use_P = false
-
-    if ctrl.viscous_input_type === "angular_momentum_diffusivity"
-
-        if ctrl.viscous_input === false
-            chi_vec = nothing
-
-        elseif ctrl.viscous_input isa AbstractArray
-            length(ctrl.viscous_input) == length(params) ||
-                throw(ArgumentError(
-                    "CriticalResonantField viscous_input has length " *
-                    "$(length(ctrl.viscous_input)), expected $(length(params))."
-                ))
-            chi_vec = ctrl.viscous_input
-
-        elseif ctrl.viscous_input isa Number
-            chi_vec = fill(Float64(ctrl.viscous_input), length(params))
-
-        elseif ctrl.viscous_input isa String
-            viscous_profile === nothing &&
-                throw(ArgumentError(
-                    "CriticalResonantField profile " *
-                    "'$(ctrl.viscous_input)' was not loaded."
-                ))
-            chi_vec = viscous_profile
-
-        else
-            throw(ArgumentError(
-                "Invalid viscous_input for angular_momentum_diffusivity."
-            ))
-        end
-
-    elseif ctrl.viscous_input_type === "magnetic_prandtl_number"
-
-        use_P = true
-
-        if ctrl.viscous_input isa AbstractArray
-            length(ctrl.viscous_input) == length(params) ||
-                throw(ArgumentError(
-                    "CriticalResonantField viscous_input has length " *
-                    "$(length(ctrl.viscous_input)), expected $(length(params))."
-                ))
-            P_input = ctrl.viscous_input
-
-        elseif ctrl.viscous_input isa Number
-            P_input = fill(Float64(ctrl.viscous_input), length(params))
-
-        elseif ctrl.viscous_input isa String
-            viscous_profile === nothing &&
-                throw(ArgumentError(
-                    "CriticalResonantField profile " *
-                    "'$(ctrl.viscous_input)' was not loaded."
-                ))
-            P_input = viscous_profile
-
-        elseif ctrl.viscous_input === false
-            use_P = false
-
-        else
-            throw(ArgumentError(
-                "Invalid viscous_input for magnetic_prandtl_number."
-            ))
-        end
-
-    else
-        throw(ArgumentError(
-            "Invalid viscous_input_type: $(ctrl.viscous_input_type). " *
-            "Must be 'angular_momentum_diffusivity' or " *
-            "'magnetic_prandtl_number'."
-        ))
-    end
-
-    for (isurf, p) in enumerate(params)
-
-        psi_here = intr[isurf].psifac
-        omega_here = profiles(psi_here).omega
-        Q0_here = p.tauk * omega_here
-        eta_here = p.eta
-
-        if use_P
-            P_here = P_input isa AbstractArray ?
-                     Float64(P_input[isurf]) :
-                     _eval(P_input, psi_here)
-
-        elseif chi_vec === nothing
-            if chi_prof === nothing
-                @warn "CriticalResonantField: chi_prof is not provided, using control chi_perp as fallback."
-                chi_here = slayer_ctrl.chi_perp
-            else
-                chi_here = _eval(chi_prof, psi_here)
-            end
-
-            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
-
-        else
-            chi_here = chi_vec isa AbstractArray ?
-                       Float64(chi_vec[isurf]) :
-                       _eval(chi_vec, psi_here)
-
-            P_here = (4π * 1e-7) * abs(chi_here) / eta_here
-        end
-
-
-        if P_here < 1
-            @warn "CriticalResonantField: P < 1 at surface $isurf (P = $P_here)."
-        end
-
-        tb = TorqueBalance(
-            SLAYERModel{:fitzpatrick}(),
-            p,
-            Q0_here,
-            P_here,
-            p.lu,
-            p.sval_r
-        )
-
-        Qs, bal, Qpeak, br_crit, _, Δs =
-            torque_balance_scan(
-                tb;
-                Qmin=ctrl.Qmin,
-                Qmax=ctrl.Qmax,
-                n=ctrl.n
-            )
-
-        push!(surface_index, isurf)
-        push!(Qpeak_vec, Qpeak)
-        push!(br_vec, br_crit)
-        push!(Q0_vec, Q0_here)
-        push!(P_vec, P_here)
-
-        push!(
-            scan_data,
-            (
-                surface=isurf,
-                Q=collect(Qs),
-                balance=collect(bal),
-                delta=collect(Δs),
-                Qpeak=Qpeak,
-                br_crit=br_crit,
-                Q0=Q0_here,
-                P=P_here,
-                lu=p.lu,
-                sval=p.sval_r,
-                m=p.m,
-                n=p.n,
-                params=p
-            )
-        )
+    model = SLAYERModel{:fitzpatrick}()
+    nsurf = length(params)
+    q_peak, br_crit, q0 = fill(NaN, nsurf), fill(NaN, nsurf), zeros(nsurf)
+    scan = CriticalResonantFieldScan[]
+    for (k, p) in enumerate(params)
+        # Cole Sec. IV: ω0 is the mode frequency in the E×B frame; diamagnetic parts enter via Q_e, Q_i.
+        q0[k] = p.tauk * p.n * profiles(rational_psi[k]).omega
+        tb = TorqueBalance(model, p, q0[k], p.P_tor, p.lu, 2.0 / p.sval_r^2)
+        Qs, bal, q_peak[k], br_crit[k], _, Δs = torque_balance_scan(tb; Qmin=ctrl.Qmin, Qmax=ctrl.Qmax, n=ctrl.n)
+        ctrl.store_scan && push!(scan, CriticalResonantFieldScan(collect(Qs), bal, Δs))
     end
-
-    return CriticalResonantFieldResult(
-        true,
-        params,
-        surface_index,
-        Qpeak_vec,
-        br_vec,
-        Q0_vec,
-        P_vec,
-        scan_data
-    )
+    return CriticalResonantFieldResult(true, Int[p.ising for p in params], q_peak, br_crit, q0,
+        Float64[p.P_tor for p in params], scan)
 end
 
-
 # ---------------------------------------------------------------------
 # Full pipeline: equilibrium + ForceFreeStates → parameters → analysis
 # ---------------------------------------------------------------------
@@ -752,34 +533,8 @@ function run_slayer(equil, surfaces::AbstractVector, delta_prime_matrix::Abstrac
 
     rational_psi = Float64[surfaces[p.ising].psifac for p in params]
     rational_q = Float64[surfaces[p.ising].q for p in params]
-    # include critical resonant field workflow here
-    if control.critical_resonant_field.enabled
-        slayer_result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
-        crf_result = run_critical_resonant_field(equil, surfaces, control;
-            dir_path=dir_path,
-            slayer_result=slayer_result,
-            profiles=profiles,
-            chi_prof=chi_perp,
-            viscous_profile=loaded.viscous_input)
-        combined_result = SLAYERResult(
-            slayer_result.enabled,
-            slayer_result.control,
-            slayer_result.params,
-            slayer_result.rational_psi,
-            slayer_result.rational_q,
-            slayer_result.dp_matrix,
-            slayer_result.Q_root,
-            slayer_result.omega_Hz,
-            slayer_result.gamma_Hz,
-            slayer_result.per_surface_extraction,
-            slayer_result.coupled_extraction,
-            slayer_result.layer_widths,
-            slayer_result.scan_data,
-            crf_result
-        )
-        @info("SLAYER: critical resonant field workflow completed; " *
-              "critical br values for each rational surface are available in the result.")
-        return combined_result
-    end
-    return run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
+    result = run_slayer_from_inputs(params, dp, control; rational_psi=rational_psi, rational_q=rational_q)
+    control.critical_resonant_field.enabled || return result
+    crf = run_critical_resonant_field(params, rational_psi, profiles, control.critical_resonant_field)
+    return SLAYERResult((f === :critical_resonant_field ? crf : getfield(result, f) for f in fieldnames(SLAYERResult))...)
 end

From 407f96d3d54bac4f3d7a0680026ac96b47a4a329 Mon Sep 17 00:00:00 2001
From: Evan Bursch <evanbursch@gmail.com>
Date: Tue, 6 Oct 2026 11:21:20 -0400
Subject: [PATCH 12/14] Tearing - TEST - Cover the critical resonant field
 torque balance
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Unit tests pin the Cole-axis branch (Q_e < Q_peak < Q0), the scan window,
local-maximum and pole selection, P = P_tor, Q0 = τ_k·n·ω_E, TOML parsing
and the HDF5 metadata contract. The diiid_slayer_n1 regression case now
tracks b_r/B_φ crit and Q_peak on the inner three surfaces.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 regression-harness/cases/diiid_slayer_n1.toml |  18 +++
 test/runtests.jl                              |   1 +
 test/runtests_critical_resonant_field.jl      | 115 ++++++++++++++++++
 3 files changed, 134 insertions(+)
 create mode 100644 test/runtests_critical_resonant_field.jl

diff --git a/regression-harness/cases/diiid_slayer_n1.toml b/regression-harness/cases/diiid_slayer_n1.toml
index 90edf2e09..ce620d53d 100644
--- a/regression-harness/cases/diiid_slayer_n1.toml
+++ b/regression-harness/cases/diiid_slayer_n1.toml
@@ -152,6 +152,24 @@ label = "SLAYER no_root flags [2/1,3/1,4/1]"
 noise_threshold = 0
 order = 34
 
+# Critical resonant field (torque balance) for the inner three surfaces, matching
+# the root pins above.
+[quantities.crf_br_crit]
+h5path = "Tearing/CriticalResonantField/br_crit"
+type = "real_vector"
+extract = "first_3"
+label = "CRF b_r/B_φ crit [2/1,3/1,4/1]"
+noise_threshold = 1e-9
+order = 40
+
+[quantities.crf_q_peak]
+h5path = "Tearing/CriticalResonantField/q_peak"
+type = "real_vector"
+extract = "first_3"
+label = "CRF Q_peak [2/1,3/1,4/1]"
+noise_threshold = 1e-6
+order = 41
+
 # Settings (catches accidental config drift)
 [quantities.slayer_enabled]
 h5path = "Tearing/enabled"
diff --git a/test/runtests.jl b/test/runtests.jl
index 389370209..9c4075d9f 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -55,6 +55,7 @@ else
     include("./runtests_dispersion_amr.jl")
     include("./runtests_dispersion_polish.jl")
     include("./runtests_slayer_runner.jl")
+    include("./runtests_critical_resonant_field.jl")
     include("./runtests_kinetic.jl")
     include("./runtests_multiion.jl")
     include("./runtests_fullruns.jl")
diff --git a/test/runtests_critical_resonant_field.jl b/test/runtests_critical_resonant_field.jl
new file mode 100644
index 000000000..c8933f411
--- /dev/null
+++ b/test/runtests_critical_resonant_field.jl
@@ -0,0 +1,115 @@
+using GeneralizedPerturbedEquilibrium
+using GeneralizedPerturbedEquilibrium.InnerLayer
+using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel
+
+# Layer stub returning a prescribed torque balance, to test the maximum selection.
+struct _CRFStubLayer <: InnerLayerModel end
+const _CRF_Q0_STUB = 10.0
+_crf_target(Q) = 0.1 + exp(-(Q - 1)^2 / 0.01) + 2exp(-(Q - 3)^2 / 0.01)
+function InnerLayer.solve_inner(::_CRFStubLayer, p, Q::Number)
+    Qc = -real(Q)   # undo the axis mirror cole_delta applies
+    jxb = 2 * (_CRF_Q0_STUB - Qc) / _crf_target(Qc)
+    return (; tearing=conj(im / jxb - 1e-2))
+end
+
+@testset "CriticalResonantField: torque balance" begin
+    using GeneralizedPerturbedEquilibrium
+    using GeneralizedPerturbedEquilibrium.InnerLayer
+    using GeneralizedPerturbedEquilibrium.InnerLayer: InnerLayerModel, SLAYERModel, SLAYERParameters
+    using GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField
+    using GeneralizedPerturbedEquilibrium.Runner
+    using GeneralizedPerturbedEquilibrium.Utilities: KineticProfiles
+    using HDF5
+
+    include("h5_metadata_check.jl")
+
+    # DIII-D-like 2/1 layer (Fortran-normalized inputs of the shipped SLAYER example).
+    _mk(; n=1, P_tor=1.0, Q_e=1.38, Q_i=-2.15, ising=1) = SLAYERParameters(;
+        tau=1.2, lu=6.44e7, c_beta=0.112, D_norm=3.0, P_perp=1.0, P_tor=P_tor,
+        Q_e=Q_e, Q_i=Q_i, iota_e=Q_e / (Q_e - Q_i), tauk=1.31e-4, tau_r=21.1,
+        delta_n=885.0, rs=0.453, R0=1.74, bt=2.0, sval_r=1.09, eta=1.22e-8,
+        d_beta=3.6e-3, m=2, n=n, ising=ising)
+    model = SLAYERModel{:fitzpatrick}()
+
+    @testset "Cole axis: branch lies between Q_e and Q0" begin
+        p = _mk()
+        @test cole_delta(model, p, 0.7) ≈ conj(InnerLayer.solve_inner(model, p, -0.7).tearing)
+        Q0 = 5.45
+        tb = TorqueBalance(model, p, Q0, 1.0, p.lu, 2 / p.sval_r^2)
+        Qs, bal, Qpeak, br, idx, _ = torque_balance_scan(tb; n=401)
+        # Cole's picture: with Q0 above the electron pole, balance holds only for Q_e < Q < Q0.
+        @test p.Q_e < Qpeak < Q0
+        @test bal[idx] > 0 && isfinite(br) && br > 0
+        @test br ≈ sqrt(bal[idx] / (p.lu * 2 / p.sval_r^2))
+        # Refining the grid moves b_crit by well under a percent.
+        _, _, _, br_fine, _, _ = torque_balance_scan(tb; n=801)
+        @test isapprox(br_fine, br; rtol=5e-3)
+    end
+
+    @testset "Fortran scan window" begin
+        @test torque_balance_window(5.0, 1.0, -2.0) == (1.05, 10.0)
+        @test torque_balance_window(0.5, 1.0, -2.0) == (0.8 * -2.0, 0.95)
+        @test torque_balance_window(-0.5, 1.0, -2.0) == (1.5 * -2.0, 0.95)
+    end
+
+    @testset "local-maximum selection and pole rejection" begin
+        p = _mk(; Q_e=50.0, Q_i=-50.0)
+        tb = TorqueBalance(_CRFStubLayer(), p, _CRF_Q0_STUB, 1.0, p.lu, 1.0)
+        _, bal, Qpeak, br, idx, _ = torque_balance_scan(tb; Qmin=0.0, Qmax=4.0, n=401)
+        @test Qpeak ≈ 3.0 atol = 0.011
+        @test bal[idx] ≈ _crf_target(Qpeak) rtol = 1e-8
+        # A maximum on the electron pole is skipped for the next one.
+        p_pole = _mk(; Q_e=3.0, Q_i=-50.0)
+        tb_pole = TorqueBalance(_CRFStubLayer(), p_pole, _CRF_Q0_STUB, 1.0, p.lu, 1.0)
+        _, _, Qpeak_pole, _, _, _ = torque_balance_scan(tb_pole; Qmin=0.0, Qmax=4.0, n=401)
+        @test Qpeak_pole ≈ 1.0 atol = 0.011
+        # No interior maximum (monotone balance) returns NaN.
+        _, _, Qnone, brnone, inone, _ = @test_logs (:warn,) torque_balance_scan(tb; Qmin=2.7, Qmax=2.95, n=51)
+        @test isnan(Qnone) && isnan(brnone) && inone == 0
+    end
+
+    @testset "runner: P from P_tor, Q0 = τ_k·n·ω_E" begin
+        psi = collect(range(0.0, 1.0; length=11))
+        ω_E = 4.0e4
+        prof = KineticProfiles(; psi=psi, n_e=fill(4e19, 11), T_e=fill(1.7e3, 11), T_i=fill(2e3, 11),
+            omega=fill(ω_E, 11), omega_e=fill(-1e4, 11), omega_i=fill(1.6e4, 11))
+        params = [_mk(; n=1, P_tor=3.0, ising=1), _mk(; n=2, P_tor=5.0, ising=2)]
+        ctrl = CriticalResonantFieldControl(; enabled=true, n=201, store_scan=true)
+        r = run_critical_resonant_field(params, [0.5, 0.7], prof, ctrl)
+        @test r.enabled
+        @test r.p_phi == [3.0, 5.0]
+        @test r.q0 ≈ [p.tauk * p.n * ω_E for p in params]
+        @test r.rational_index == [1, 2]
+        @test length(r.scan) == 2 && length(r.scan[1].Q) == 201
+        @test !run_critical_resonant_field(params, [0.5, 0.7], prof, CriticalResonantFieldControl()).enabled
+
+        # HDF5 output honours the metadata contract.
+        c = SLAYERControl(; enabled=true, scan_mode=:brute_force, nre=4, nim=4, critical_resonant_field=ctrl)
+        base = run_slayer_from_inputs(params, ComplexF64[1.0 0.0; 0.0 1.0], c; rational_psi=[0.5, 0.7], rational_q=[2.0, 1.5])
+        res = SLAYERResult((f === :critical_resonant_field ? r : getfield(base, f) for f in fieldnames(SLAYERResult))...)
+        mktemp() do path, io
+            close(io)
+            h5open(path, "w") do f
+                write_slayer_hdf5!(f, res)
+            end
+            h5open(path, "r") do f
+                @test isempty(_collect_metadata_violations(f))
+                g = f["Tearing/CriticalResonantField"]
+                @test read(g["p_phi"]) == [3.0, 5.0]
+                @test read(g["br_crit"]) ≈ r.br_crit nans = true
+                @test haskey(g, "Scan/Surface_2/Delta")
+            end
+        end
+    end
+
+    @testset "control: TOML parsing and validation" begin
+        c = critical_resonant_field_control_from_toml(Dict("enabled" => true, "n" => 500))
+        @test c.enabled && c.n == 500 && c.Qmin === nothing && !c.store_scan
+        @test critical_resonant_field_control_from_toml(Dict("Qmin" => -2.0)).Qmin == -2.0
+        @test_throws ArgumentError critical_resonant_field_control_from_toml(Dict("viscous_input" => 1.0))
+        s = slayer_control_from_toml(Dict("enabled" => true, "CriticalResonantField" => Dict("enabled" => true)))
+        @test s.critical_resonant_field.enabled
+        @test_throws ArgumentError Runner.validate(SLAYERControl(; inner_model=:ggj_shooting,
+            critical_resonant_field=CriticalResonantFieldControl(; enabled=true)))
+    end
+end

From f0325543cd61e715f8400f1655e2788b620286f5 Mon Sep 17 00:00:00 2001
From: Evan Bursch <evanbursch@gmail.com>
Date: Tue, 6 Oct 2026 11:33:17 -0400
Subject: [PATCH 13/14] Tearing - BUGFIX - Skip torque-balance maxima inside
 the diamagnetic pole region

A one-grid-step exclusion lets the Q_e pole spike win on fine scans. Exclude
maxima within 0.02 of Q_e and Q_i, Fortran SLAYER's pole-regularization
radius, so the threshold is the maximum between Q_e and Q0.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 src/Tearing/CriticalResonantField/TorqueBalance.jl | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/src/Tearing/CriticalResonantField/TorqueBalance.jl b/src/Tearing/CriticalResonantField/TorqueBalance.jl
index c78772f5e..9cffa549f 100644
--- a/src/Tearing/CriticalResonantField/TorqueBalance.jl
+++ b/src/Tearing/CriticalResonantField/TorqueBalance.jl
@@ -17,6 +17,8 @@
 
 # Finite stand-in for α = S^(-1/3)·(−r_s Δ'_s) ≪ 1; b_crit moves ~4% over 1e-4 to 1e-1.
 const TORQUE_BALANCE_ALPHA = 1e-2
+# Half-width around Q_e, Q_i where the layer response is pole-dominated (Fortran SLAYER layfac).
+const TORQUE_BALANCE_POLE_WIDTH = 0.02
 
 """
     TorqueBalance{M<:InnerLayerModel,P}
@@ -80,8 +82,9 @@ end
 
 Sample `torque_balance_value` on `n` uniform real Q points and return the critical
 normalized field `br_crit = b_r/B_φ` (Cole Eq. 62) at the largest positive interior local
-maximum of `bal`, located at `Qpeak = Qs[idx_peak]`. A maximum within one grid step of
-the diamagnetic poles `Q_e`, `Q_i` is discarded as a pole artifact. `Qmin`/`Qmax`
+maximum of `bal`, located at `Qpeak = Qs[idx_peak]`. A maximum within
+`TORQUE_BALANCE_POLE_WIDTH` (or one grid step, if larger) of the diamagnetic poles `Q_e`,
+`Q_i` is discarded as a pole artifact. `Qmin`/`Qmax`
 default to `torque_balance_window`. Returns NaN for `Qpeak`, `br_crit` and 0 for
 `idx_peak` when no valid maximum is found.
 """
@@ -93,8 +96,8 @@ function torque_balance_scan(tb::TorqueBalance; Qmin=nothing, Qmax=nothing, n::I
     bal = first.(out)
     Δs = last.(out)
 
-    dQ = step(Qs)
-    near_pole(Q) = abs(Q - p.Q_e) <= dQ || abs(Q - p.Q_i) <= dQ
+    w = max(step(Qs), TORQUE_BALANCE_POLE_WIDTH)
+    near_pole(Q) = abs(Q - p.Q_e) <= w || abs(Q - p.Q_i) <= w
     peaks = [i for i in 2:(n-1) if isfinite(bal[i]) && bal[i] > 0 &&
              bal[i-1] < bal[i] && bal[i] >= bal[i+1] && !near_pole(Qs[i])]
     if isempty(peaks)

From acd8bca7859970382ca52bba263cc87c702e89cd Mon Sep 17 00:00:00 2001
From: Evan Bursch <evanbursch@gmail.com>
Date: Tue, 6 Oct 2026 11:33:17 -0400
Subject: [PATCH 14/14] Docs - DOCS - Document the critical resonant field and
 its Fortran benchmark

Add the Cole-Fitzpatrick torque balance, its inputs and approximations, the
HDF5 outputs and the Fortran gslayer.f comparison figure to the Tearing page,
cite Cole and Fitzpatrick 2006, and add the module to the API reference.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/src/assets/crf_fortran_benchmark.png | Bin 0 -> 184266 bytes
 docs/src/citations.md                     |   8 +++
 docs/src/inner_layer.md                   |  63 +++++++++++++++++++++-
 3 files changed, 70 insertions(+), 1 deletion(-)
 create mode 100644 docs/src/assets/crf_fortran_benchmark.png

diff --git a/docs/src/assets/crf_fortran_benchmark.png b/docs/src/assets/crf_fortran_benchmark.png
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diff --git a/docs/src/citations.md b/docs/src/citations.md
index e78370553..076daa527 100644
--- a/docs/src/citations.md
+++ b/docs/src/citations.md
@@ -124,6 +124,14 @@ The basis for the presently implemented in Fortran SLAYER code which computes th
 
 ---
 
+> A. Cole and R. Fitzpatrick, "Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas,"
+> *Physics of Plasmas* **13**, 032503 (2006).
+> DOI: [10.1063/1.2178167](https://doi.org/10.1063/1.2178167)
+
+The torque-balance error-field penetration threshold (Eqs. 61–62) behind the critical resonant field computed in `Tearing.CriticalResonantField`.
+
+---
+
 > A. Burgess et al., "Tearing Stability Prediction Combining Toroidal Calculations With a Two-Fluid Slab Layer,"
 > Preprint (2026).
 
diff --git a/docs/src/inner_layer.md b/docs/src/inner_layer.md
index 7ddfecb95..20fc32bb9 100644
--- a/docs/src/inner_layer.md
+++ b/docs/src/inner_layer.md
@@ -3,7 +3,8 @@
 The `Tearing` module groups the resistive tearing-mode analysis stack:
 `InnerLayer` (per-surface inner-layer matching data Δ(Q) for the GGJ and
 SLAYER models), `Dispersion` (physics-agnostic complex-plane scan and
-contour-intersection root extraction), and `Runner` (user-facing TOML
+contour-intersection root extraction), `CriticalResonantField` (torque-balance
+error-field penetration threshold), and `Runner` (user-facing TOML
 configuration, profile loading, and HDF5 output).
 
 ## Layer Inputs
@@ -278,6 +279,60 @@ res = solve_ray(p, GGJ.inner_Q(p, γ))
 res.Δ, res.resid, res.bc_cond
 ```
 
+## Critical resonant field
+
+With `[SLAYER.CriticalResonantField] enabled = true`, each SLAYER surface also gets the
+critical resonant field for error-field penetration, from the steady-state torque balance of
+Cole and Fitzpatrick, Phys. Plasmas **13**, 032503 (2006). The electromagnetic torque on the
+layer balances the viscous restoring torque when (Cole Eq. 61)
+
+```math
+\frac{\operatorname{Im}\hat\Delta(Q)}{|\alpha + \hat\Delta(Q)|^2}
+  = \frac{2P\,(Q_0 - Q)}{S\hat\kappa\,(b_r/B_\phi)^2},
+\qquad
+\hat\kappa = \left[\frac{2}{s}\right]^2 \int_{r_s}^{a} \frac{\mu(r_s)}{\mu(r)}\,\frac{dr}{r},
+```
+
+and balance is lost above (Cole Eq. 62)
+
+```math
+\left(\frac{b_r}{B_\phi}\right)^2_\mathrm{crit}
+  = \max_Q \frac{2P\,(Q_0 - Q)}{S\hat\kappa\,\operatorname{Im}[-1/(\alpha + \hat\Delta(Q))]} .
+```
+
+- **Inputs.** P is each layer's `P_tor` (so χ_φ from the kinetic file, or the scalar
+  `chi_tor`), S its Lundquist number, and Q0 = τ_k·n·ω_E the natural E×B rotation of the
+  m/n mode (Cole's ω0; the diamagnetic drifts enter through Q_e and Q_i in Δ̂).
+- **Approximations.** As in Fortran `gslayer.f`, the viscosity integral is taken as 1/2
+  (κ̂ = 2/s²) and α = 10⁻² stands in for S^(−1/3)(−r_s Δ'_s) ≪ 1 (b_crit moves about 4 %
+  over 10⁻⁴–10⁻¹).
+- **Q axis.** Q is on Cole's axis, with the diamagnetic poles at Q_e and Q_i; `solve_inner`
+  mirrors the real axis, so the scan uses conj(Δ(−Q)).
+- **Maximum.** The scan window follows `gslayer.f` (between Q0 and the Q_e pole), and the
+  largest positive interior local maximum is taken, skipping any within 0.02 of Q_e or Q_i
+  (Fortran SLAYER's pole-regularization radius).
+
+Outputs go to `Tearing/CriticalResonantField/` (`br_crit` = b_r/B_φ, `q_peak`, `q0`, `p_phi`,
+and with `store_scan` the per-surface `Scan/Surface_<k>/{Q, balance, Delta}`).
+
+### Benchmark against Fortran
+
+On the DIII-D-like example (2/1–6/1, n = 1, P = 1, κ̂ = 2/s², Q ∈ [−5, 5] with 20001
+points), both codes were given Fortran's normalized inputs.
+
+- **Torque-balance routine.** Fed Fortran's own Δ(Q) table with the pole exclusion narrowed to
+  one grid step, the Julia routine reproduces Fortran's b_crit and Q_peak to all printed digits
+  on every surface.
+- **Pole handling.** Fortran's global maximum sits within 0.003 of the Q_e pole on 2/1, 3/1,
+  4/1 and 6/1. Skipping the pole region moves the threshold to the torque-balance maximum
+  between Q_e and Q0 (blue dots below), lowering the Fortran-table b_crit by 6–88 %.
+- **Layer model.** Fortran solves Park's drift-MHD layer and Julia Fitzpatrick's, so Δ(Q)
+  differs by a median 7–78 % between Q_i and Q_e, and Julia's b_crit is 82–89 % of the
+  Fortran-table value on 2/1, 3/1, 4/1 and 6/1. The 5/1 edge surface is dominated by a
+  zero of the electromagnetic torque in both codes and is not a usable threshold.
+
+![Fortran vs Julia inner-layer Δ(Q) and torque balance](assets/crf_fortran_benchmark.png)
+
 ## API Reference
 
 ### InnerLayer
@@ -304,6 +359,12 @@ Modules = [GeneralizedPerturbedEquilibrium.InnerLayer.SLAYER]
 Modules = [GeneralizedPerturbedEquilibrium.Dispersion]
 ```
 
+## CriticalResonantField
+
+```@autodocs
+Modules = [GeneralizedPerturbedEquilibrium.Tearing.CriticalResonantField]
+```
+
 ## Runner
 
 ```@autodocs