diff --git a/.github/workflows/Benchmark.yml b/.github/workflows/Benchmark.yml
new file mode 100644
index 0000000..d8fc450
--- /dev/null
+++ b/.github/workflows/Benchmark.yml
@@ -0,0 +1,51 @@
+name: Benchmark
+
+# Runs the benchmark suite (benchmark/benchmarks.jl, the global `SUITE`) on each
+# relevant pull request and writes a comparison table to the job summary.
+#
+# How the comparison works (AirspeedVelocity.jl):
+#   * It benchmarks TWO git revisions — the base branch (`main`) and this PR's
+#     head commit — NOT a stored historical baseline.
+#   * Both revisions are checked out into separate temp environments and run in
+#     separate Julia processes, back-to-back on the SAME runner within this one
+#     job. The reported `ratio` is head/base (<1 faster, >1 slower).
+#   * Running both on the same machine cancels systematic hardware differences,
+#     but shared GitHub runners are still noisy (~±10–30% on microbenchmarks):
+#     trust this for order-of-magnitude / large regressions, not 5% wobble.
+#
+# Security: this uses the `pull_request` event (not `pull_request_target`), so a
+# fork's PR code runs with a read-only token and no secrets. Output goes to the
+# Actions job summary (`job-summary: "true"`) instead of a PR comment, so no
+# write token is ever needed — nothing is posted to fork (or same-repo) PRs.
+# View results under the workflow run's "Summary" tab.
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - "src/**"
+      - "benchmark/**"
+      - "Project.toml"
+      - ".github/workflows/Benchmark.yml"
+  workflow_dispatch:
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+permissions:
+  contents: read
+
+jobs:
+  benchmark:
+    name: Benchmark PR vs main
+    runs-on: ubuntu-latest
+    steps:
+      - uses: MilesCranmer/AirspeedVelocity.jl@action-v1
+        with:
+          julia-version: "1"
+          job-summary: "true"
+          # Default compares `main` against this PR's head SHA. Uncomment to
+          # restrict to a fast, low-noise subset of the suite in CI:
+          # filter: "special_functions,ebcm,linearization,postprocessing"
diff --git a/.github/workflows/README.md b/.github/workflows/README.md
index 34137af..dab57f2 100644
--- a/.github/workflows/README.md
+++ b/.github/workflows/README.md
@@ -21,6 +21,20 @@ It is split into:
 The local `just ci` command mirrors the core local checks: package tests,
 doctests, and documentation build.
 
+## Benchmarks
+
+`Benchmark.yml` runs the benchmark suite (`benchmark/benchmarks.jl`, the global
+`SUITE`) via [AirspeedVelocity.jl](https://github.com/MilesCranmer/AirspeedVelocity.jl)
+on pull requests that touch `src/`, `benchmark/`, or `Project.toml`. It
+benchmarks the PR head commit against `main` — both revisions are run
+back-to-back on the same runner (not against a stored baseline) — and writes a
+`ratio` comparison table to the workflow run's **Summary** tab. It uses the
+`pull_request` event with a read-only token and `job-summary: "true"`, so fork
+PR code never runs with a write token and nothing is posted as a comment.
+Shared CI runners are noisy, so treat the results as a guard for large
+regressions rather than sub-10% changes. Run the same suite locally with
+`just bench`.
+
 ## Maintenance
 
 - `CompatHelper.yml` opens compatibility-bound update pull requests.
diff --git a/.gitignore b/.gitignore
index 1f2c900..80545b7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,9 +8,19 @@
 Manifest.toml
 .CondaPkg/
 
+# Benchmark result artifacts (benchmark/params.json is committed; raw run
+# outputs are machine-specific and stay local)
+/results*.json
+/benchmark/results*.json
+
 # Documentation artifacts
 /docs/build/
 
+# Intermediate Pluto render output (the committed copies live in
+# docs/src/examples/, which is tracked).
+/examples/*.md
+!/examples/README.md
+
 # Editor and OS metadata
 .DS_Store
 .idea/
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 0000000..fd4ce7c
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,84 @@
+# Changelog
+
+All notable changes to this project are documented here. The format is based on
+[Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project
+adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+Work on top of `v0.4.0`. Includes a breaking change to solver selection, so the
+next release is expected to be `v0.5.0`.
+
+### Added
+
+- **Sh-matrix moment-separation method** for fast parameter sweeps:
+  `prepare_sh`, `transition_matrix(prep, λ, mᵣ)`, and `transition_matrix_spectrum`.
+  The geometry quadrature is computed once and reused, so wavelength /
+  refractive-index sweeps are cheap; for spheroids it also reproduces the
+  high-aspect stabilization analytically. Works for any axisymmetric shape.
+- **Two-layer solver API**: fixed-discretization solvers `EBCM`, `IITM`,
+  `ShMatrix`, and the `Iterative` convergence wrapper (with `ConvergencePolicy`),
+  selected via `transition_matrix(s, λ, solver)`.
+- **Stabilized high-aspect-ratio spheroids** (`stable = true`): the
+  cancellation-free `F⁺` formulation of Somerville, Auguié & Le Ru (2013),
+  available as `EBCM(nₘₐₓ, Ng; stable = true)` and, auto-converged, as
+  `Iterative(EBCM; stable = true)`.
+- **Performance benchmark suite** and a PR benchmark CI workflow
+  (AirspeedVelocity).
+- **`examples/` folder** with five runnable Pluto notebooks — shapes gallery,
+  angular scattering & polarization, orientation averaging, solver landscape, and
+  spectral sensitivity — rendered into the documentation site.
+
+### Changed
+
+- **(Breaking)** Solver selection moves to solver objects passed to
+  `transition_matrix(s, λ, solver)`. The keyword-based auto-converge
+  `transition_matrix(s, λ; threshold, …)` is replaced by
+  `Iterative(EBCM; threshold, …)`. The bare `transition_matrix(s, λ)` /
+  `calc_T(s, λ)` is unchanged (auto-converged classic EBCM).
+- Performance: factor `𝐐` once and reuse it across Jacobian slices instead of an
+  explicit `inv`; the IITM radial recursion solves `M \ X` instead of forming
+  `inv(M)`; the Sh-matrix precompute is optimized (coefficient precompute, folded
+  convolution, precision split, and an analytic-zeroing fast path for spheroids).
+- Documentation: the API reference now filters internal (underscore-prefixed)
+  docstrings and uses `checkdocs = :exported`.
+
+### Fixed
+
+- `prepare_sh` requires an even `Ng` only for shapes with an equatorial symmetry
+  plane (non-symmetric shapes accept odd `Ng`).
+- `transition_matrix_spectrum` validates that `λs` and `mᵣs` have matching lengths
+  instead of silently truncating to the shorter one.
+- `ricattibessely` handles `nₘₐₓ = 1`.
+- `cbrt` on `Double64` (DoubleFloats v1.9 returns a tuple).
+
+## [0.4.0] - 2026-06-04
+
+- Performance optimizations and the analytical linearization framework
+  (`LinearizationProblem`, `linearize_transition_matrix`, with Mie / EBCM / IITM
+  backends). See [#7](https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/pull/7).
+
+## [0.3.1] - 2026-01-18
+
+- Raise the `Wigxjpf` compatibility bound to v0.2; CI configuration updates.
+
+## [0.3.0] - 2025-04-03
+
+- Compatible with Julia 1.13.
+- Removed `ArbNumerics` from the dependencies; its types are no longer
+  re-exported (use `Arblib`'s `Arb`/`Acb`).
+
+## [0.2.0] - 2023-04-02
+
+- Early development release.
+
+## [0.1.0] - 2023-03-17
+
+- Initial release.
+
+[Unreleased]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/compare/v0.4.0...HEAD
+[0.4.0]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/compare/v0.3.1...v0.4.0
+[0.3.1]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/compare/v0.3.0...v0.3.1
+[0.3.0]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/compare/v0.2.0...v0.3.0
+[0.2.0]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/compare/v0.1.0...v0.2.0
+[0.1.0]: https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/releases/tag/v0.1.0
diff --git a/benchmark/Project.toml b/benchmark/Project.toml
new file mode 100644
index 0000000..69acf5c
--- /dev/null
+++ b/benchmark/Project.toml
@@ -0,0 +1,7 @@
+[deps]
+BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+TransitionMatrices = "057c4241-e127-4181-840e-6b4b92e6eef5"
+
+[compat]
+BenchmarkTools = "1"
+julia = "1.10"
diff --git a/benchmark/README.md b/benchmark/README.md
new file mode 100644
index 0000000..0e49fb1
--- /dev/null
+++ b/benchmark/README.md
@@ -0,0 +1,70 @@
+# Benchmarks
+
+Performance benchmark suite for `TransitionMatrices.jl`, built on
+[BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl). The suite
+follows the standard Julia convention — `benchmark/benchmarks.jl` defines a
+single global `const SUITE::BenchmarkGroup` — so it works unchanged with both
+[PkgBenchmark.jl](https://github.com/JuliaCI/PkgBenchmark.jl) and
+[AirspeedVelocity.jl](https://github.com/MilesCranmer/AirspeedVelocity.jl).
+
+## Layout
+
+| File | Purpose |
+| --- | --- |
+| `benchmarks.jl` | Defines `SUITE` (consumed by every tool below). |
+| `runbenchmarks.jl` | Local runner: tune once, cache params, save results JSON. |
+| `Project.toml` | Isolated environment; dev-depends on the parent package. |
+| `params.json` | Cached `tune!` parameters (created on first run). |
+
+## Groups
+
+- `special_functions` — Riccati-Bessel and Wigner-d recursions (inner kernels).
+- `ebcm` — EBCM blocks, fixed-order solves, and end-to-end auto-convergence.
+- `iitm` — Invariant Imbedding T-Matrix (axisymmetric and N-fold).
+- `postprocessing` — far-field observables from a precomputed T-matrix.
+- `linearization` — analytical EBCM Jacobian (baseline for the `inv` → `lu` work).
+- `precision` — Float64 vs Double64 on the same EBCM block.
+
+## Running
+
+The simplest path uses the parent `justfile`:
+
+```sh
+just bench            # instantiate the env and run the whole suite
+```
+
+Or directly:
+
+```sh
+julia --project=benchmark -e 'using Pkg; Pkg.develop(path="."); Pkg.instantiate()'
+julia --project=benchmark benchmark/runbenchmarks.jl results-baseline.json
+```
+
+Run a single group while iterating:
+
+```julia
+julia --project=benchmark
+julia> include("benchmark/benchmarks.jl");
+julia> run(SUITE["ebcm"]; verbose = true)
+```
+
+## Comparing two revisions
+
+Capture a baseline, make your change, capture again, then judge:
+
+```julia
+using BenchmarkTools
+old = BenchmarkTools.load("results-baseline.json")[1]
+new = BenchmarkTools.load("results.json")[1]
+judge(minimum(new), minimum(old))   # :improvement / :regression / :invariant
+```
+
+`minimum` is used because it is the most noise-robust statistic for these
+deterministic numerical kernels.
+
+For automated cross-revision runs (and PR comments), AirspeedVelocity.jl reads
+the same `SUITE`:
+
+```sh
+benchpkg TransitionMatrices --rev=main,HEAD --bench-on=HEAD
+```
diff --git a/benchmark/benchmarks.jl b/benchmark/benchmarks.jl
new file mode 100644
index 0000000..c15b428
--- /dev/null
+++ b/benchmark/benchmarks.jl
@@ -0,0 +1,167 @@
+# Benchmark suite for TransitionMatrices.jl.
+#
+# This file follows the de-facto Julia convention: it defines a single global
+# `const SUITE::BenchmarkGroup`. The same file is consumed by both
+# PkgBenchmark.jl (`benchmarkpkg`, `judge`) and AirspeedVelocity.jl
+# (`benchpkg`), so no tooling lock-in is introduced.
+#
+# Run locally with `just bench`, or directly:
+#   julia --project=benchmark -e 'include("benchmark/runbenchmarks.jl")'
+#
+# Groups
+#   special_functions  – Riccati-Bessel and Wigner-d recursions (inner kernels)
+#   ebcm               – EBCM blocks, fixed-order, and auto-converging solves
+#   iitm               – Invariant Imbedding T-Matrix (axisymmetric + N-fold)
+#   postprocessing     – far-field observables from a precomputed T-matrix
+#   linearization      – analytical Jacobian (baseline for the inv→lu work)
+#   precision          – Float64 vs Double64 on the same EBCM block
+
+using BenchmarkTools
+using TransitionMatrices
+
+const SUITE = BenchmarkGroup()
+
+# --------------------------------------------------------------------------
+# Representative scatterers. With λ = 2π the size parameter is x = k·rmax = rmax.
+# A mildly absorbing refractive index (1.5 + 0.02im) keeps the problems
+# well-conditioned in Float64 while exercising the complex paths.
+# --------------------------------------------------------------------------
+const λ = 2π
+const SPHEROID = Spheroid(2.0, 1.0, complex(1.5, 0.02))
+const CYLINDER = Cylinder(1.0, 2.0, complex(1.5, 0.02))
+const CHEBYSHEV = Chebyshev(1.0, 0.1, 4, complex(1.5, 0.02))
+const PRISM = Prism(6, 1.0, 2.0, complex(1.5, 0.02))
+
+# A reference T-matrix shared by the post-processing benchmarks. Built once at
+# suite-load time so its cost stays out of the per-sample timings.
+const T_REF = transition_matrix(SPHEROID, λ, 8, 32)
+const θs = collect(range(0, π; length = 181))
+
+# --------------------------------------------------------------------------
+# Special functions — the innermost recursions, sized by truncation order.
+# --------------------------------------------------------------------------
+let g = SUITE["special_functions"] = BenchmarkGroup(["math", "recurrence"])
+    for nmax in (20, 50, 100)
+        x = float(nmax)  # argument near the order: the demanding regime
+        nextra = TransitionMatrices.estimate_ricattibesselj_extra_terms(nmax, x)
+        g["ricattibesselj_n$nmax"] = @benchmarkable TransitionMatrices.ricattibesselj(
+            $nmax,
+            $nextra,
+            $x)
+    end
+    for smax in (20, 50, 100)
+        g["wigner_d_recursion_s$smax"] = @benchmarkable TransitionMatrices.wigner_d_recursion(
+            0,
+            2,
+            $smax,
+            0.7;
+            deriv = true)
+    end
+end
+
+# --------------------------------------------------------------------------
+# EBCM — block construction, fixed-order solves, and end-to-end convergence.
+# --------------------------------------------------------------------------
+let g = SUITE["ebcm"] = BenchmarkGroup(["core", "linalg"])
+    # The m = 0 block is the per-iteration hot path of the convergence loop.
+    for nmax in (8, 12, 16)
+        Ng = 4nmax
+        g["m0_block_n$nmax"] = @benchmarkable transition_matrix_m₀($SPHEROID, $λ, $nmax, $Ng)
+    end
+
+    # Full fixed-order T-matrix across the three axisymmetric shape families.
+    g["full_spheroid"] = @benchmarkable transition_matrix($SPHEROID, $λ, 8, 32)
+    g["full_cylinder"] = @benchmarkable transition_matrix($CYLINDER, $λ, 8, 32)
+    g["full_chebyshev"] = @benchmarkable transition_matrix($CHEBYSHEV, $λ, 8, 32)
+
+    # Realistic user call: automatic nmax/Ng convergence from scratch.
+    g["auto_converge_spheroid"] = @benchmarkable calc_T($SPHEROID, $λ) seconds=30
+
+    # Stabilized spheroid path (Somerville F⁺) vs the standard assembly, for a
+    # high-aspect prolate (h=4, xmax≈10) where the standard Float64 integrands
+    # lose precision. Matched (nₘₐₓ, Ng) so the ratio is the stabilization cost.
+    let prolate = Spheroid(2.5198421, 10.079368, complex(1.55, 0.01))
+        g["highaspect_std_n24"] = @benchmarkable transition_matrix($prolate, $λ, 24, 240)
+        g["highaspect_stable_n24"] = @benchmarkable transition_matrix($prolate, $λ, 24,
+            240; stable = true)
+    end
+end
+
+# --------------------------------------------------------------------------
+# Sh-matrix — moment-separation parameter sweeps. `prepare_sh` does the geometry
+# quadrature once; each subsequent (λ, mᵣ) point is then a cheap coefficient×
+# moment reconstruction. Contrasting the per-point cost with the from-scratch
+# assembly is the whole point of the method.
+# --------------------------------------------------------------------------
+let g = SUITE["sh_matrix"] = BenchmarkGroup(["sweep", "moment"])
+    prep = prepare_sh(SPHEROID, 8, 32; B = 30)
+    g["prepare_n8"] = @benchmarkable prepare_sh($SPHEROID, 8, 32; B = 30) seconds=30
+    g["sweep_point_n8"] = @benchmarkable transition_matrix($prep, $λ, $(SPHEROID.m))
+    g["fresh_assembly_n8"] = @benchmarkable transition_matrix($SPHEROID, $λ, 8, 32)
+end
+
+# --------------------------------------------------------------------------
+# IITM — the numerically stable solver; the GPU/N-fold work targets this path.
+# --------------------------------------------------------------------------
+let g = SUITE["iitm"] = BenchmarkGroup(["core", "linalg"])
+    g["axisym_spheroid"] = @benchmarkable calc_T_iitm($SPHEROID, $λ, 6, 20, 24) seconds=60
+    g["nfold_prism6"] = @benchmarkable calc_T_iitm($PRISM, $λ, 6, 10, 24, 24) seconds=60
+end
+
+# --------------------------------------------------------------------------
+# Post-processing — far-field observables from a precomputed T-matrix.
+# The analytic vs numerical orientation average contrast is intentional: it
+# documents the (already implemented) speedup of Mishchenko's closed form.
+# --------------------------------------------------------------------------
+let g = SUITE["postprocessing"] = BenchmarkGroup(["farfield"])
+    g["amplitude_matrix"] = @benchmarkable amplitude_matrix($T_REF, 0.0, 0.0, π / 4, 0.0;
+        λ = $λ)
+    g["expansion_coefficients"] = @benchmarkable expansion_coefficients($T_REF, $λ)
+    g["scattering_matrix"] = @benchmarkable scattering_matrix($T_REF, $λ, $θs)
+    g["extinction_cross_section"] = @benchmarkable extinction_cross_section($T_REF, $λ)
+    g["scattering_cross_section"] = @benchmarkable scattering_cross_section($T_REF, $λ)
+    g["orientation_average_analytic"] = @benchmarkable RandomOrientationTransitionMatrix($T_REF)
+    g["orientation_average_numerical"] = @benchmarkable orientation_average($T_REF,
+        (α, β, γ) -> 1 / (8π^2);
+        Nα = 20, Nβ = 20,
+        Nγ = 1) seconds=30
+end
+
+# --------------------------------------------------------------------------
+# Linearization — analytical EBCM Jacobian. This is the direct baseline for
+# the planned `inv(𝐐)` → `lu`/factorization-reuse optimization.
+# --------------------------------------------------------------------------
+let g = SUITE["linearization"] = BenchmarkGroup(["jacobian"])
+    x₀ = [2.0, 1.0, 1.5, 0.02, 2π]
+    vars = (:a, :c, :mᵣ, :mᵢ, :λ)
+    config = (; nₘₐₓ = 6, Ng = 24)
+    problem = LinearizationProblem(x₀; variables = vars) do x
+        (; shape = Spheroid(x[1], x[2], complex(x[3], x[4])), λ = x[5])
+    end
+    g["ebcm_analytic_jacobian"] = @benchmarkable linearize_transition_matrix($problem,
+        EBCMLinearization();
+        config = $config) seconds=30
+end
+
+# --------------------------------------------------------------------------
+# Precision — same EBCM block in Float64 vs Double64, to quantify the cost of
+# the precision-escalation path the roadmap proposes to automate.
+# --------------------------------------------------------------------------
+let g = SUITE["precision"] = BenchmarkGroup(["multiprecision"])
+    spheroid_d64 = Spheroid(Double64(2.0), Double64(1.0),
+        Complex{Double64}(Double64(1.5), Double64(0.02)))
+    g["ebcm_m0_Float64"] = @benchmarkable transition_matrix_m₀($SPHEROID, $λ, 8, 32)
+    g["ebcm_m0_Double64"] = @benchmarkable transition_matrix_m₀($spheroid_d64,
+        2 * Double64(π), 8, 32) seconds=30
+end
+
+# --------------------------------------------------------------------------
+# Reuse tuned parameters when available so CI/repeat runs stay comparable.
+# --------------------------------------------------------------------------
+let paramspath = joinpath(@__DIR__, "params.json")
+    if isfile(paramspath)
+        loadparams!(SUITE, BenchmarkTools.load(paramspath)[1], :evals, :samples)
+    end
+end
+
+SUITE
diff --git a/benchmark/params.json b/benchmark/params.json
new file mode 100644
index 0000000..bae7999
--- /dev/null
+++ b/benchmark/params.json
@@ -0,0 +1 @@
+[{"BenchmarkTools":"1.8.0","Julia":"1.12.6"},[["BenchmarkGroup",{"data":{"ebcm":["BenchmarkGroup",{"data":{"auto_converge_spheroid":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":30.0,"time_tolerance":0.05}],"full_chebyshev":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"full_cylinder":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"full_spheroid":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"m0_block_n12":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"m0_block_n16":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"m0_block_n8":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}]},"tags":["core","linalg"]}],"iitm":["BenchmarkGroup",{"data":{"axisym_spheroid":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":60.0,"time_tolerance":0.05}],"nfold_prism6":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":60.0,"time_tolerance":0.05}]},"tags":["core","linalg"]}],"linearization":["BenchmarkGroup",{"data":{"ebcm_analytic_jacobian":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":30.0,"time_tolerance":0.05}]},"tags":["jacobian"]}],"postprocessing":["BenchmarkGroup",{"data":{"amplitude_matrix":["Parameters",{"evals":8,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"expansion_coefficients":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"extinction_cross_section":["Parameters",{"evals":991,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"orientation_average_analytic":["Parameters",{"evals":193,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"orientation_average_numerical":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":30.0,"time_tolerance":0.05}],"scattering_cross_section":["Parameters",{"evals":110,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"scattering_matrix":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}]},"tags":["farfield"]}],"precision":["BenchmarkGroup",{"data":{"ebcm_m0_Double64":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":30.0,"time_tolerance":0.05}],"ebcm_m0_Float64":["Parameters",{"evals":1,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}]},"tags":["multiprecision"]}],"special_functions":["BenchmarkGroup",{"data":{"ricattibesselj_n100":["Parameters",{"evals":136,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"ricattibesselj_n20":["Parameters",{"evals":516,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"ricattibesselj_n50":["Parameters",{"evals":199,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"wigner_d_recursion_s100":["Parameters",{"evals":40,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"wigner_d_recursion_s20":["Parameters",{"evals":767,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}],"wigner_d_recursion_s50":["Parameters",{"evals":199,"evals_set":false,"gcsample":false,"gctrial":true,"memory_tolerance":0.01,"overhead":0.0,"samples":10000,"seconds":5.0,"time_tolerance":0.05}]},"tags":["math","recurrence"]}]},"tags":[]}]]]
\ No newline at end of file
diff --git a/benchmark/runbenchmarks.jl b/benchmark/runbenchmarks.jl
new file mode 100644
index 0000000..66517da
--- /dev/null
+++ b/benchmark/runbenchmarks.jl
@@ -0,0 +1,32 @@
+# Local convenience runner for the benchmark suite.
+#
+#   julia --project=benchmark benchmark/runbenchmarks.jl [output.json]
+#
+# On first run it tunes the suite and caches the parameters in params.json so
+# subsequent runs (and CI) are reproducible. Results are saved as JSON for
+# later comparison with `BenchmarkTools.judge` / `ratio`.
+
+using BenchmarkTools
+
+include(joinpath(@__DIR__, "benchmarks.jl"))
+
+const PARAMS_PATH = joinpath(@__DIR__, "params.json")
+
+if isfile(PARAMS_PATH)
+    @info "Loaded tuned parameters" path=PARAMS_PATH
+else
+    @info "Tuning benchmark parameters (first run; this is slow)…"
+    tune!(SUITE)
+    BenchmarkTools.save(PARAMS_PATH, params(SUITE))
+    @info "Saved tuned parameters" path=PARAMS_PATH
+end
+
+results = run(SUITE; verbose = true)
+
+output = isempty(ARGS) ? joinpath(@__DIR__, "results.json") : ARGS[1]
+BenchmarkTools.save(output, results)
+@info "Saved benchmark results" path=output
+
+println("\n==== median timings ====")
+display(median(results))
+println()
diff --git a/docs/Project.toml b/docs/Project.toml
index 036341b..02eb656 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -1,4 +1,5 @@
 [deps]
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+PlutoStaticHTML = "359b1769-a58e-495b-9770-312e911026ad"
 TransitionMatrices = "057c4241-e127-4181-840e-6b4b92e6eef5"
diff --git a/docs/make.jl b/docs/make.jl
index 0bc73b2..7b5986b 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -1,28 +1,64 @@
 using TransitionMatrices
 using Documenter
 
+# ── Example Pluto notebooks ───────────────────────────────────────────────────
+# The rendered pages (docs/src/examples/*.md, with plots embedded as base64 SVG)
+# are committed and used as-is by default, so CI does not have to run the
+# notebooks (which load Plots/GR and its native graphics stack — fragile on
+# headless Linux runners). To refresh them, render locally with
+#   BUILD_EXAMPLES=true julia --project=docs docs/make.jl
+# and commit the regenerated docs/src/examples/*.md. Each notebook self-activates
+# the examples/ environment in its own Pluto worker.
+const NB_DIR = normpath(joinpath(@__DIR__, "..", "examples"))
+const NB_OUT = joinpath(@__DIR__, "src", "examples")
+const NOTEBOOKS = ["shapes_gallery.jl", "angular_scattering.jl",
+    "orientation_averaging.jl", "solver_landscape.jl", "spectral_sensitivity.jl"]
+const NB_PAGES = ["examples/" * replace(nb, ".jl" => ".md") for nb in NOTEBOOKS]
+
+function build_examples()
+    mkpath(NB_OUT)
+    bopts = BuildOptions(NB_DIR; output_format = documenter_output,
+        use_distributed = false, previous_dir = NB_DIR)
+    build_notebooks(bopts, NOTEBOOKS)
+    for nb in NOTEBOOKS
+        md = replace(nb, ".jl" => ".md")
+        cp(joinpath(NB_DIR, md), joinpath(NB_OUT, md); force = true)
+    end
+end
+
+if get(ENV, "BUILD_EXAMPLES", "false") == "true"
+    # Only the render path needs PlutoStaticHTML/Pluto and a headless GR; the
+    # default docs build (CI) uses the committed pages and loads none of this.
+    ENV["GKSwstype"] = "100"
+    using PlutoStaticHTML
+    build_examples()
+end
+
 DocMeta.setdocmeta!(TransitionMatrices, :DocTestSetup, :(using TransitionMatrices);
-                    recursive = true)
+    recursive = true)
 
 makedocs(;
-         modules = [TransitionMatrices],
-         authors = "Gabriel Wu <wuzihua@pku.edu.cn> and contributors",
-         repo = "https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/blob/{commit}{path}#{line}",
-         sitename = "TransitionMatrices.jl",
-         format = Documenter.HTML(;
-                                  prettyurls = get(ENV, "CI", "false") == "true",
-                                  canonical = "https://JuliaRemoteSensing.github.io/TransitionMatrices.jl",
-                                  edit_link = "main",
-                                  assets = String[]),
-         pages = [
-             "Home" => "index.md",
-             "Usage" => "usage.md",
-             "Linearization" => "linearization.md",
-             "API" => "api.md",
-         ])
+    modules = [TransitionMatrices],
+    checkdocs = :exported,
+    authors = "Gabriel Wu <wuzihua@pku.edu.cn> and contributors",
+    repo = "https://github.com/JuliaRemoteSensing/TransitionMatrices.jl/blob/{commit}{path}#{line}",
+    sitename = "TransitionMatrices.jl",
+    format = Documenter.HTML(;
+        prettyurls = get(ENV, "CI", "false") == "true",
+        canonical = "https://JuliaRemoteSensing.github.io/TransitionMatrices.jl",
+        edit_link = "main",
+        size_threshold_ignore = NB_PAGES,   # rendered notebooks embed large plots
+        assets = String[]),
+    pages = [
+        "Home" => "index.md",
+        "Usage" => "usage.md",
+        "Examples" => NB_PAGES,
+        "Linearization" => "linearization.md",
+        "API" => "api.md"
+    ])
 
 if get(ENV, "DOCUMENTER_SKIP_DEPLOY", "false") != "true"
     deploydocs(;
-               repo = "github.com/JuliaRemoteSensing/TransitionMatrices.jl",
-               devbranch = "main")
+        repo = "github.com/JuliaRemoteSensing/TransitionMatrices.jl",
+        devbranch = "main")
 end
diff --git a/docs/src/api.md b/docs/src/api.md
index 1c88578..ee80457 100644
--- a/docs/src/api.md
+++ b/docs/src/api.md
@@ -9,4 +9,5 @@ CurrentModule = TransitionMatrices
 
 ```@autodocs
 Modules = [TransitionMatrices]
+Filter = t -> !startswith(string(Base.nameof(t)), "_")
 ```
diff --git a/docs/src/examples/angular_scattering.md b/docs/src/examples/angular_scattering.md
new file mode 100644
index 0000000..6a27a13
--- /dev/null
+++ b/docs/src/examples/angular_scattering.md
@@ -0,0 +1,3621 @@
+```@raw html
+<style>
+    #documenter-page table {
+        display: table !important;
+        margin: 2rem auto !important;
+        border-top: 2pt solid rgba(0,0,0,0.2);
+        border-bottom: 2pt solid rgba(0,0,0,0.2);
+    }
+
+    #documenter-page pre, #documenter-page div {
+        margin-top: 1.4rem !important;
+        margin-bottom: 1.4rem !important;
+    }
+
+    .code-output {
+        padding: 0.7rem 0.5rem !important;
+    }
+
+    .admonition-body {
+        padding: 0em 1.25em !important;
+    }
+</style>
+
+<!-- PlutoStaticHTML.Begin -->
+<!--
+    # This information is used for caching.
+    [PlutoStaticHTML.State]
+    input_sha = "6e90de45c599a75383347a147cfac1b2cb0ffe755ba13b24b306aef0b35b811b"
+    julia_version = "1.12.6"
+-->
+
+<div class="markdown"><h1 id="Angular-scattering-&amp;-polarization">Angular scattering &amp; polarization</h1><p>From a T-matrix you can read off the full far field: the <strong>amplitude matrix</strong><span class="tex">\(\mathbf{S}\)</span> at a fixed geometry, its <strong>phase matrix</strong><span class="tex">\(\mathbf{Z}\)</span>, and the orientation-averaged <strong>scattering (Mueller) matrix</strong><span class="tex">\(\mathbf{F}(\theta)\)</span>.</p><p>This notebook plots the phase function <span class="tex">\(F_{11}(\theta)\)</span>, the degree of linear polarization <span class="tex">\(-F_{12}/F_{11}\)</span> (for unpolarized incidence) and the ratios <span class="tex">\(F_{22}/F_{11}\)</span>, <span class="tex">\(F_{44}/F_{11}\)</span> for a spheroid.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="Build-a-T-matrix">Build a T-matrix</h2></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    λ = 2π
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    T = calc_T(spheroid, λ)
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-T">19×9×19×9×2×2 AxisymmetricTransitionMatrix{ComplexF64, 9, Vector{Matrix{ComplexF64}}, Float64} with indices -9:9×1:9×-9:9×1:9×1:2×1:2:
+[:, :, -9, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 1, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 2, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 3, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 4, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 5, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 6, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0-0.0im  2.19496e-13-4.50037e-12im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0-0.0im  2.19496e-13-4.50037e-12im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+[:, :, 8, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 7, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -4.8884e-13+1.05045e-11im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+
+[:, :, -7, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.72364e-13+3.91331e-12im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.72364e-13+3.91331e-12im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -4.8884e-13+1.05045e-11im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+
+[:, :, 9, 8, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  -5.59296e-15+1.15147e-13im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+
+[:, :, -8, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -1.61514e-15+3.75017e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+[:, :, -7, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -1.92771e-15+3.97071e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -1.92771e-15+3.97071e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -1.61514e-15+3.75017e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+[:, :, 9, 9, 1, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  -5.59296e-15+1.15147e-13im
+
+[:, :, -9, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 1, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 2, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 3, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 4, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 5, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 6, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.09407e-10-3.42822e-12im  -0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     1.09407e-10+3.42822e-12im  0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+
+[:, :, 8, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 7, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  -1.29512e-12-3.92979e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+
+[:, :, -7, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  2.10617e-13+6.9152e-15im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -2.10617e-13-6.9152e-15im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  1.29512e-12+3.92979e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+
+[:, :, 9, 8, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -2.37726e-13+3.92857e-14im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+
+[:, :, -7, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     6.21318e-13+4.06401e-14im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -6.21318e-13-4.06401e-14im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     2.37726e-13-3.92857e-14im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+
+[:, :, 9, 9, 2, 1] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  -0.0-0.0im
+
+[:, :, -9, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 1, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 2, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 3, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 4, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 5, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 6, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     9.92451e-11+3.10368e-12im  -0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -9.92451e-11-3.10368e-12im  0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+
+[:, :, 8, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 7, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  1.1946e-12+3.69915e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im         0.0+0.0im
+
+[:, :, -7, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  -1.6102e-13-4.6447e-15im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+    ⋮                                        ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  1.6102e-13+4.6447e-15im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im         0.0+0.0im
+
+[:, :, 8, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …   0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -0.0-0.0im  -1.1946e-12-3.69915e-14im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+
+[:, :, 9, 8, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     1.29061e-12+3.88854e-14im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im          0.0+0.0im
+
+[:, :, -7, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     -2.10404e-13-6.98428e-15im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱                             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …          0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     2.10404e-13+6.98428e-15im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im             0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.29061e-12-3.88854e-14im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, 9, 9, 1, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im   0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  -0.0-0.0im
+
+[:, :, -9, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 1, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 2, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 3, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 4, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 5, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 8, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 6, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -7, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0-0.0im  4.66754e-12-1.44642e-10im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱             
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0-0.0im  4.66754e-12-1.44642e-10im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im          0.0+0.0im
+
+[:, :, 8, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, 9, 7, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -8, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.05089e-11+3.34671e-10im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, -7, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -3.25788e-12+1.10209e-10im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+;;; … 
+
+[:, :, 7, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -3.25788e-12+1.10209e-10im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱                              
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  …           0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im     -1.05089e-11+3.34671e-10im  -0.0-0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im              0.0+0.0im           0.0+0.0im
+
+[:, :, 9, 8, 2, 2] =
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+    ⋮                                        ⋱                        
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im  …  0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  0.0+0.0im  0.0+0.0im
+
+[:, :, -9, 9, 2, 2] =
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱             
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+
+[:, :, -8, 9, 2, 2] =
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+    ⋮                                        ⋱              
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+
+[:, :, -7, 9, 2, 2] =
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+    ⋮                             ⋱              
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+;;; … 
+
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+    ⋮                             ⋱              
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im           0.0+0.0im
+
+[:, :, 8, 9, 2, 2] =
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im      0.0+0.0im          0.0+0.0im
+
+[:, :, 9, 9, 2, 2] =
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+    ⋮                                        ⋱             
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
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+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im           0.0+0.0im
+ 0.0+0.0im  0.0+0.0im  0.0+0.0im  0.0+0.0im     0.0+0.0im  -1.30289e-13+4.16766e-12im</pre>
+
+
+<div class="markdown"><h2 id="Orientation-averaged-scattering-matrix-vs-angle">Orientation-averaged scattering matrix vs angle</h2><p><code>scattering_matrix(T, λ, θs)</code> returns an <code>Nθ × 6</code> matrix whose columns are <code>[F₁₁, F₁₂, F₂₂, F₃₃, F₃₄, F₄₄]</code> (<code>θs</code> in degrees).</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    θs = collect(0.0:1.0:180.0)
+    F = scattering_matrix(T, λ, θs)
+    F11 = F[:, 1]
+    pol = -F[:, 2] ./ F[:, 1]      # degree of linear polarization
+    F22_11 = F[:, 3] ./ F[:, 1]
+    F44_11 = F[:, 6] ./ F[:, 1]
+    nothing
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="Plots">Plots</h2></div>
+
+<pre class='language-julia'><code class='language-julia'>let
+    p1 = plot(θs, F11; yscale = :log10, lw = 2, label = "F₁₁",
+        ylabel = "phase function", legend = :topright)
+    p2 = plot(θs, pol; lw = 2, color = 2, label = "-F₁₂/F₁₁",
+        ylabel = "lin. polarization")
+    p3 = plot(θs, [F22_11 F44_11]; lw = 2, label = ["F₂₂/F₁₁" "F₄₄/F₁₁"],
+        xlabel = "scattering angle θ (deg)", ylabel = "ratio")
+    plot(p1, p2, p3; layout = (3, 1), size = (720, 660),
+        title = ["spheroid a=2, c=1, m=1.5+0.02im" "" ""])
+end</code></pre>
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"/>
+
+
+<div class="markdown"><h2 id="Amplitude-and-phase-matrix-at-a-fixed-geometry">Amplitude and phase matrix at a fixed geometry</h2><p>For a specific incidence/scattering direction, <code>amplitude_matrix</code> gives the 2×2 complex <span class="tex">\(\mathbf{S}\)</span> and <code>phase_matrix</code> the 4×4 Mueller <span class="tex">\(\mathbf{Z}\)</span>.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    S = amplitude_matrix(T, 0.0, 0.0, π / 4, 0.0; λ = λ)   # ϑᵢ,φᵢ → ϑₛ,φₛ
+    Z = phase_matrix(S)
+    (; S, Z)
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-Z">(S = ComplexF64[0.7543885545787061 + 0.41284557376054576im 0.0 + 0.0im; 0.0 + 0.0im 0.9614704949782115 + 0.5540083947286321im], Z = [0.9854471865982333 -0.24590362754520956 -0.0 0.0; -0.24590362754520956 0.9854471865982333 0.0 0.0; -0.0 0.0 0.9540422505665871 -0.020998753970686346; 0.0 0.0 0.020998753970686346 0.9540422505665871])</pre>
+
+<!-- PlutoStaticHTML.End -->
+```
+
diff --git a/docs/src/examples/orientation_averaging.md b/docs/src/examples/orientation_averaging.md
new file mode 100644
index 0000000..dc4781c
--- /dev/null
+++ b/docs/src/examples/orientation_averaging.md
@@ -0,0 +1,97 @@
+```@raw html
+<style>
+    #documenter-page table {
+        display: table !important;
+        margin: 2rem auto !important;
+        border-top: 2pt solid rgba(0,0,0,0.2);
+        border-bottom: 2pt solid rgba(0,0,0,0.2);
+    }
+
+    #documenter-page pre, #documenter-page div {
+        margin-top: 1.4rem !important;
+        margin-bottom: 1.4rem !important;
+    }
+
+    .code-output {
+        padding: 0.7rem 0.5rem !important;
+    }
+
+    .admonition-body {
+        padding: 0em 1.25em !important;
+    }
+</style>
+
+<!-- PlutoStaticHTML.Begin -->
+<!--
+    # This information is used for caching.
+    [PlutoStaticHTML.State]
+    input_sha = "266e6faffcc99ba1abb632a675c28762ffbab36fc87ba90a4131a0122ff36b31"
+    julia_version = "1.12.6"
+-->
+
+<div class="markdown"><h1 id="Orientation-averaging">Orientation averaging</h1><p>For randomly oriented particles you need the orientation-averaged scattering quantities. <code>TransitionMatrices.jl</code> offers two routes:</p><ul><li><p><strong><code>RandomOrientationTransitionMatrix(T)</code></strong> — Mishchenko's <em>analytic</em> closed form for the orientation average (fast, exact);</p></li><li><p><strong><code>orientation_average(T, p; Nα, Nβ, Nγ)</code></strong> — <em>numerical</em> average over the Euler angles against an orientation distribution <code>p</code>.</p></li></ul><p>This notebook checks they agree and shows the numerical average converging to the analytic value as the angular grid is refined.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="A-non-spherical-particle">A non-spherical particle</h2></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    λ = 2π
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    T = calc_T(spheroid, λ)
+    uniform = (α, β, γ) -&gt; 1 / (8π^2)   # isotropic orientation distribution
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-T">#5 (generic function with 1 method)</pre>
+
+
+<div class="markdown"><h2 id="Analytic-vs-numerical">Analytic vs numerical</h2><p>Both should give the same orientation-averaged efficiencies.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    Tanalytic = RandomOrientationTransitionMatrix(T)
+    Tnumeric = orientation_average(T, uniform; Nα = 20, Nβ = 20, Nγ = 20)
+
+    compare = [
+        (; method = "analytic (Mishchenko)", Qsca = calc_Csca(Tanalytic, λ),
+            Qext = calc_Cext(Tanalytic, λ), g = asymmetry_parameter(Tanalytic, λ)),
+        (; method = "numerical (20³ grid)", Qsca = calc_Csca(Tnumeric, λ),
+            Qext = calc_Cext(Tnumeric, λ), g = asymmetry_parameter(Tnumeric, λ)),
+    ]
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-compare">2-element Vector{@NamedTuple{method::String, Qsca::Float64, Qext::Float64, g::Float64}}:
+ (method = "analytic (Mishchenko)", Qsca = 6.161024698021793, Qext = 7.59930108537653, g = 0.5833300223810896)
+ (method = "numerical (20³ grid)", Qsca = 6.1610246980217225, Qext = 7.599301085376555, g = 0.5833300223810899)</pre>
+
+
+<div class="markdown"><h2 id="Convergence-of-the-numerical-average">Convergence of the numerical average</h2><p>The numerical average approaches the analytic value as the <code>β</code>-grid is refined; the analytic closed form gives it directly, at a fraction of the cost.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    Qref = calc_Csca(Tanalytic, λ)
+    Ns = 4:2:18
+    errs = [abs(calc_Csca(orientation_average(T, uniform; Nα = 2, Nβ = N, Nγ = 2), λ) - Qref) / Qref
+            for N in Ns]
+    nothing
+end</code></pre>
+
+
+<pre class='language-julia'><code class='language-julia'>let
+    plot(collect(Ns), errs; yscale = :log10, lw = 2, marker = :circle,
+        xlabel = "β-grid points Nβ", ylabel = "|Qsca_numeric − Qsca_analytic| / Qsca",
+        label = "numerical average", legend = :topright,
+        title = "convergence to the analytic orientation average", size = (680, 400))
+end</code></pre>
+<img src="data:image/svg+xml;base64,<?xml version="1.0" encoding="utf-8"?>
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"/>
+
+
+<div class="markdown"><h2 id="Takeaway">Takeaway</h2><p>The analytic <code>RandomOrientationTransitionMatrix</code> is both exact and much cheaper than refining a 3-D Euler-angle quadrature — prefer it for random-orientation cross sections. The numerical <code>orientation_average</code> remains useful for <em>non-uniform</em> orientation distributions (just pass a different <code>p</code>).</p></div>
+
+<!-- PlutoStaticHTML.End -->
+```
+
diff --git a/docs/src/examples/shapes_gallery.md b/docs/src/examples/shapes_gallery.md
new file mode 100644
index 0000000..6f3f447
--- /dev/null
+++ b/docs/src/examples/shapes_gallery.md
@@ -0,0 +1,96 @@
+```@raw html
+<style>
+    #documenter-page table {
+        display: table !important;
+        margin: 2rem auto !important;
+        border-top: 2pt solid rgba(0,0,0,0.2);
+        border-bottom: 2pt solid rgba(0,0,0,0.2);
+    }
+
+    #documenter-page pre, #documenter-page div {
+        margin-top: 1.4rem !important;
+        margin-bottom: 1.4rem !important;
+    }
+
+    .code-output {
+        padding: 0.7rem 0.5rem !important;
+    }
+
+    .admonition-body {
+        padding: 0em 1.25em !important;
+    }
+</style>
+
+<!-- PlutoStaticHTML.Begin -->
+<!--
+    # This information is used for caching.
+    [PlutoStaticHTML.State]
+    input_sha = "238505d1c118e57357b56ddc217fa312d57c5731e6967dca0e694fd5d03e6c4a"
+    julia_version = "1.12.6"
+-->
+
+<div class="markdown"><h1 id="Shapes-quick-start-gallery">Shapes quick-start gallery</h1><p><code>TransitionMatrices.jl</code> handles several scatterer families. This gallery defines one of each, computes its T-matrix, and reports the basic far-field efficiencies <span class="tex">\(Q_\text{sca}\)</span>, <span class="tex">\(Q_\text{ext}\)</span>, the asymmetry parameter <span class="tex">\(g\)</span> and the single-scattering albedo <span class="tex">\(\omega\)</span>.</p><p>The axisymmetric shapes (spheroid, cylinder, Chebyshev particle) use the default EBCM solver via <code>calc_T</code>; the N-fold <strong>prism</strong> is not axisymmetric, so it uses the IITM solver.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="Define-the-shapes">Define the shapes</h2><p>All at wavelength <code>λ = 2π</code> (so the size parameter equals the radius) and the same refractive index <code>m = 1.5 + 0.02im</code>.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    λ = 2π
+    m = 1.5 + 0.02im
+    shapes = (
+        spheroid  = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, m),
+        cylinder  = TransitionMatrices.Cylinder{Float64, ComplexF64}(1.0, 2.0, m),
+        chebyshev = TransitionMatrices.Chebyshev{Float64, ComplexF64}(1.0, 0.1, 4, m),
+        prism6    = TransitionMatrices.Prism(6, 1.0, 2.0, m),
+    )
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-m">(spheroid = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im), cylinder = Cylinder{Float64, ComplexF64}(1.0, 2.0, 1.5 + 0.02im), chebyshev = Chebyshev{Float64, ComplexF64}(1.0, 0.1, 4, 1.5 + 0.02im), prism6 = Prism{6, Float64, ComplexF64}(1.0, 2.0, 1.5 + 0.02im))</pre>
+
+
+<div class="markdown"><h2 id="Compute-and-tabulate">Compute and tabulate</h2><p><code>calc_T</code> auto-converges the axisymmetric shapes; the prism uses a fixed-order IITM solve. Pluto renders the resulting vector of named tuples as a table.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    Tmatrix(s) = s isa TransitionMatrices.Prism ?
+        transition_matrix(s, λ, IITM(8, 12, 24, 24)) : calc_T(s, λ)
+
+    summary = map(collect(pairs(shapes))) do (name, s)
+        T = Tmatrix(s)
+        (; shape = name,
+            Qsca = round(calc_Csca(T, λ); digits = 4),
+            Qext = round(calc_Cext(T, λ); digits = 4),
+            g = round(asymmetry_parameter(T, λ); digits = 4),
+            ω = round(albedo(T); digits = 4))
+    end
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-Tmatrix">4-element Vector{@NamedTuple{shape::Symbol, Qsca::Float64, Qext::Float64, g::Float64, ω::Float64}}:
+ (shape = :spheroid, Qsca = 6.6711, Qext = 7.5993, g = 0.5339, ω = 0.8779)
+ (shape = :cylinder, Qsca = 1.3708, Qext = 1.6609, g = 0.2721, ω = 0.8254)
+ (shape = :chebyshev, Qsca = 0.6613, Qext = 0.8415, g = 0.2004, ω = 0.7858)
+ (shape = :prism6, Qsca = 0.9603, Qext = 1.1905, g = 0.239, ω = 0.8066)</pre>
+
+
+<div class="markdown"><h2 id="Compare-the-efficiencies">Compare the efficiencies</h2></div>
+
+<pre class='language-julia'><code class='language-julia'>let
+    names = String.(getindex.(summary, :shape))
+    bar(names, [getindex.(summary, :Qsca) getindex.(summary, :Qext)];
+        label = ["Qsca" "Qext"], ylabel = "efficiency", legend = :topright,
+        title = "far-field efficiencies by shape", size = (680, 380))
+end</code></pre>
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"/>
+
+
+<div class="markdown"><h2 id="Which-solver?">Which solver?</h2><ul><li><p><strong>Spheroid / Cylinder / Chebyshev</strong> — axisymmetric: EBCM (<code>calc_T</code>). For high-aspect spheroids add the stabilized path, <code>Iterative(EBCM; stable=true)</code>.</p></li><li><p><strong>Prism / arbitrary 3-D</strong> — not axisymmetric: IITM (<code>IITM(nₘₐₓ, Nr, Nϑ, Nφ)</code>).</p></li><li><p>For wavelength / refractive-index <strong>sweeps</strong> of an axisymmetric shape, see the Sh-matrix examples (<code>ShMatrix</code>, <code>prepare_sh</code>).</p></li></ul></div>
+
+<!-- PlutoStaticHTML.End -->
+```
+
diff --git a/docs/src/examples/solver_landscape.md b/docs/src/examples/solver_landscape.md
new file mode 100644
index 0000000..78d3bde
--- /dev/null
+++ b/docs/src/examples/solver_landscape.md
@@ -0,0 +1,88 @@
+```@raw html
+<style>
+    #documenter-page table {
+        display: table !important;
+        margin: 2rem auto !important;
+        border-top: 2pt solid rgba(0,0,0,0.2);
+        border-bottom: 2pt solid rgba(0,0,0,0.2);
+    }
+
+    #documenter-page pre, #documenter-page div {
+        margin-top: 1.4rem !important;
+        margin-bottom: 1.4rem !important;
+    }
+
+    .code-output {
+        padding: 0.7rem 0.5rem !important;
+    }
+
+    .admonition-body {
+        padding: 0em 1.25em !important;
+    }
+</style>
+
+<!-- PlutoStaticHTML.Begin -->
+<!--
+    # This information is used for caching.
+    [PlutoStaticHTML.State]
+    input_sha = "ebb5a37081d537edeb51811c3929cfcf5a6b3f76526761b2f274ad47b1a49881"
+    julia_version = "1.12.6"
+-->
+
+<div class="markdown"><h1 id="Solver-landscape-&amp;-convergence">Solver landscape &amp; convergence</h1><p>The same T-matrix can be built several ways. The two-layer API selects them with a solver object passed to <code>transition_matrix(s, λ, solver)</code>:</p><ul><li><p>a <strong>fixed</strong> solver — <code>EBCM(nₘₐₓ, Ng)</code>, <code>IITM(nₘₐₓ, Nr, Nϑ)</code> — one build;</p></li><li><p>an <strong>iterative</strong> solver — <code>Iterative(EBCM; …)</code> — sweeps to convergence;</p></li></ul><p>plus the <code>stable = true</code> option that removes the high-aspect EBCM cancellation. This notebook shows <em>why</em> it matters: on a high-aspect spheroid, classic EBCM converges briefly and then <strong>diverges</strong> as <code>nₘₐₓ</code> grows, while the stabilized path stays converged.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="A-high-aspect-prolate-spheroid-(aspect-≈-4)">A high-aspect prolate spheroid (aspect ≈ 4)</h2><p>Three routes to the same cross section:</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    λ = 2π
+    prolate = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)
+
+    routes = [
+        (; route = "EBCM fixed (n=24)", Csca = calc_Csca(transition_matrix(prolate, λ, EBCM(24, 384)), λ)),
+        (; route = "Iterative(EBCM; stable)", Csca = calc_Csca(transition_matrix(prolate, λ, Iterative(EBCM; stable = true)), λ)),
+        (; route = "IITM", Csca = calc_Csca(transition_matrix(prolate, λ, IITM(24, 30, 60)), λ)),
+    ]
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-routes">3-element Vector{@NamedTuple{route::String, Csca::Float64}}:
+ (route = "EBCM fixed (n=24)", Csca = 206.5441191992453)
+ (route = "Iterative(EBCM; stable)", Csca = 206.54412963360375)
+ (route = "IITM", Csca = 208.22584428504862)</pre>
+
+
+<div class="markdown"><h2 id="Convergence-vs-truncation-order">Convergence vs truncation order</h2><p>Relative error of <span class="tex">\(Q_\text{sca}\)</span> against a high-order stabilized reference, for classic EBCM vs the <code>stable = true</code> EBCM. Watch the classic curve blow up.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    ref = calc_Csca(transition_matrix(prolate, λ, EBCM(40, 600; stable = true)), λ)
+    ns = 16:2:40
+    classic_err = [abs(calc_Csca(transition_matrix(prolate, λ, EBCM(n, 16n)), λ) - ref) / ref for n in ns]
+    stable_err = [abs(calc_Csca(transition_matrix(prolate, λ, EBCM(n, 16n; stable = true)), λ) - ref) / ref for n in ns]
+    nothing
+end</code></pre>
+
+
+<pre class='language-julia'><code class='language-julia'>let
+    plot(collect(ns), classic_err; yscale = :log10, lw = 2, marker = :circle,
+        label = "classic EBCM", legend = :left)
+    plot!(collect(ns), stable_err; lw = 2, marker = :square, label = "stable EBCM")
+    plot!(xlabel = "truncation order nₘₐₓ", ylabel = "relative error in Qsca",
+        title = "high-aspect spheroid: classic EBCM diverges, stable holds",
+        size = (720, 420))
+end</code></pre>
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"/>
+
+
+<div class="markdown"><h2 id="Choosing-a-solver">Choosing a solver</h2><table><tbody><tr><th align="right">situation</th><th align="right">solver</th></tr><tr><td align="right">axisymmetric, moderate aspect</td><td align="right"><code>calc_T(s, λ)</code> (auto-converged classic EBCM)</td></tr><tr><td align="right">high-aspect <strong>spheroid</strong></td><td align="right"><code>Iterative(EBCM; stable = true)</code></td></tr><tr><td align="right">cylinder / Chebyshev / 3-D, hard cases</td><td align="right"><code>IITM(nₘₐₓ, Nr, Nϑ[, Nφ])</code></td></tr><tr><td align="right">wavelength / index <strong>sweep</strong></td><td align="right"><code>ShMatrix</code> / <code>prepare_sh</code></td></tr><tr><td align="right">explicit discretization (benchmarking)</td><td align="right"><code>EBCM(nₘₐₓ, Ng)</code>, <code>IITM(…)</code></td></tr></tbody></table><p>The iterative layer (<code>Iterative</code>) wraps any of these with automatic convergence.</p></div>
+
+<!-- PlutoStaticHTML.End -->
+```
+
diff --git a/docs/src/examples/spectral_sensitivity.md b/docs/src/examples/spectral_sensitivity.md
new file mode 100644
index 0000000..a14ffb5
--- /dev/null
+++ b/docs/src/examples/spectral_sensitivity.md
@@ -0,0 +1,117 @@
+```@raw html
+<style>
+    #documenter-page table {
+        display: table !important;
+        margin: 2rem auto !important;
+        border-top: 2pt solid rgba(0,0,0,0.2);
+        border-bottom: 2pt solid rgba(0,0,0,0.2);
+    }
+
+    #documenter-page pre, #documenter-page div {
+        margin-top: 1.4rem !important;
+        margin-bottom: 1.4rem !important;
+    }
+
+    .code-output {
+        padding: 0.7rem 0.5rem !important;
+    }
+
+    .admonition-body {
+        padding: 0em 1.25em !important;
+    }
+</style>
+
+<!-- PlutoStaticHTML.Begin -->
+<!--
+    # This information is used for caching.
+    [PlutoStaticHTML.State]
+    input_sha = "342b56451899a657cf7aff49bede00e107a414915c8565445d68b5a778fadc6f"
+    julia_version = "1.12.6"
+-->
+
+<div class="markdown"><h1 id="Spectral-sensitivity-with-the-Sh-matrix-method">Spectral sensitivity with the Sh-matrix method</h1><p>Fast, <strong>exact</strong> wavelength / refractive-index sensitivities for an axisymmetric scatterer, built on the Sh-matrix moment-separation backend of <code>TransitionMatrices.jl</code>.</p><p>The Sh-matrix method factors every EBCM surface integral as</p><p class="tex">$$\int = \sum_{\text{terms}} \big[\,\text{coefficient}(k, m_r)\,\big] \times \big[\,\text{shape-only moment}\,\big],$$</p><p>where the <strong>shape moments depend only on the geometry</strong> — not on the wavelength <span class="tex">\(\lambda\)</span> or the refractive index <span class="tex">\(m_r\)</span>. <code>prepare_sh</code> computes the moments <em>once</em>; each <code>transition_matrix(prep, λ, mᵣ)</code> is then a cheap coefficient×moment sum. Because that reconstruction is a plain differentiable function of <span class="tex">\((\lambda, m_r)\)</span> with the moments riding through as constants, <code>ForwardDiff</code> straight through it gives exact <span class="tex">\(\partial T/\partial\lambda\)</span> and <span class="tex">\(\partial T/\partial m_r\)</span> — at a fraction of the cost of differentiating the full from-scratch assembly.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    import Pkg
+    Pkg.activate(@__DIR__)                 # the examples/ environment
+    Pkg.develop(; path = dirname(@__DIR__)) # point TransitionMatrices at this repo
+    Pkg.instantiate()
+    using TransitionMatrices, ForwardDiff, Plots, BenchmarkTools
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="1.-Define-the-scatterer-and-prepare-the-moments">1. Define the scatterer and prepare the moments</h2><p>A prolate spheroid (semi-axes <code>a = 2</code>, <code>c = 1</code>) with a fixed small absorption <code>mᵢ = 0.02</code>. <code>prepare_sh</code> runs the geometry quadrature <strong>once</strong> — every spectral point below reuses it.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    nmax, Ng = 10, 200
+    mᵢ = 0.02
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + mᵢ * im)
+    prep = prepare_sh(spheroid, nmax, Ng)
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-mᵢ">ShPreparation{Spheroid{Float64, ComplexF64}, Vector{@NamedTuple{Mτd::OffsetArrays.OffsetArray{Float64, 3, Array{Float64, 3}}, Mπd::OffsetArrays.OffsetArray{Float64, 3, Array{Float64, 3}}, Mππττ::OffsetArrays.OffsetMatrix{Float64, Matrix{Float64}}, nmin::Int64, qlo::Int64, qhi::Int64, sym::Bool, ng::Int64}}, @NamedTuple{ψ::OffsetArrays.OffsetVector{Tuple{Int64, Vector{Float64}}, Vector{Tuple{Int64, Vector{Float64}}}}, ψ′::OffsetArrays.OffsetVector{Tuple{Int64, Vector{Float64}}, Vector{Tuple{Int64, Vector{Float64}}}}, χ::OffsetArrays.OffsetVector{Tuple{Int64, Vector{Float64}}, Vector{Tuple{Int64, Vector{Float64}}}}, χ′::OffsetArrays.OffsetVector{Tuple{Int64, Vector{Float64}}, Vector{Tuple{Int64, Vector{Float64}}}}}}(Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im), 10, 200, 30, @NamedTuple{Mτd::OffsetArrays.OffsetArray{Float64, 3, Array{Float64, 3}}, Mπd::OffsetArrays.OffsetArray{Float64, 3, Array{Float64, 3}}, Mππττ::OffsetArrays.OffsetMatrix{Float64, Matrix{Float64}}, nmin::Int64, qlo::Int64, qhi::Int64, sym::Bool, ng::Int64}[(Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; -6.206320203713274e20 -3.7043146918274117e21 … -1.2596302847100982e21 -1.1144755575052641e21; 1.9520286441748424e20 8.945488012541322e20 … 3.6878598840722935e20 1.874211290640545e20; … ; -7.704772103440639e20 -6.130643443016551e21 … -1.7445612997371177e21 -2.32312597077111e21; 1.2856642865459162e21 6.464779858526699e21 … 2.5441182733039016e21 1.6044501024474978e21;;; -1.2181271182545741e21 -7.319520600228689e21 … -2.4784658637735566e21 -2.217538965244375e21; 3.806735350750353e20 1.7566675284302808e21 … 7.217160307268497e20 3.7335618909736704e20; … ; -1.5284870548773863e21 -1.2178458176945998e22 … -3.4577434184250777e21 -4.617130465351015e21; 2.5178168029101257e21 1.2730623209477232e22 … 4.993524665638477e21 3.187250244124098e21;;; -2.391399890181405e21 -1.446506316192557e22 … -4.877490825802162e21 -4.4121479131833146e21; 7.426013342190431e20 3.4504075483162477e21 … 1.4127163869515028e21 7.435501557158452e20; … ; -3.0319283822292516e21 -2.4192480454655064e22 … -6.853224471595671e21 -9.177027908077613e21; 4.931841046019026e21 2.507327652536079e22 … 9.80274658874532e21 6.331078462681293e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0], Mππττ = [0.0 0.0 … 4.946575120586221e22 9.830499550826374e22; 0.0 0.0 … 1.9346945197197015e21 3.795427652666887e21; … ; 0.0 0.0 … 2.1975955092785412e23 4.3807442820825376e23; 0.0 0.0 … 1.0244374720002233e23 2.0201699288725294e23], nmin = 1, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 3.1031601018566384e20 -5.635021315901029e19 … 5.742798058145771e19 -8.667946851631587e19; 6.472411466627936e21 -9.066818776884188e20 … 1.590203654841026e21 -1.5268660668979565e21; … ; 8.392428848806124e21 -1.4210236669974025e21 … 1.728594590137881e21 -2.287075673208998e21; 8.351851411991952e21 -8.195081096626403e20 … 2.582478286096461e21 -1.6302511555095662e21;;; 6.090635591272873e20 -1.0989098397446906e20 … 1.1392669858114291e20 -1.6975117422296472e20; 1.2787672550617607e22 -1.7801752447474747e21 … 3.1589360019247627e21 -3.0063931523826167e21; … ; 1.651212775535008e22 -2.7807225458909407e21 … 3.4261463972736124e21 -4.488772033799732e21; 1.6615460293343982e22 -1.6317758288003413e21 … 5.13247076178637e21 -3.2376926409117495e21;;; 1.1956999450907026e21 -2.1437054010596996e20 … 2.2598659885251907e20 -3.3250465549166e20; 2.526859487125398e22 -3.4959716439682025e21 … 6.275233197136797e21 -5.920482241571846e21; … ; 3.2493216539523146e22 -5.442665436062522e21 … 6.79068579994223e21 -8.811415402413289e21; 3.305386933408405e22 -3.2483180124304316e21 … 1.0201088598407628e22 -6.429714285753598e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; -3.801916124036154e21 5.3748309604363095e20 … -9.265087933132635e20 9.011881276305858e20; 5.3748309604363095e20 -9.760143220874219e19 … 9.946818014316365e19 -1.50133243443326e20; … ; -9.265087933132635e20 9.946818014316365e19 … -2.7378608943944837e20 1.897774399666024e20; 9.011881276305858e20 -1.50133243443326e20 … 1.8977743996660236e20 -2.4409700977162043e20;;; -7.509857367766209e21 1.0549290294471925e21 … -1.8405229405535968e21 1.7740319206934905e21; 1.0549290294471925e21 -1.903367675375177e20 … 1.9732683028112468e20 -2.9401765839865125e20; … ; -1.8405229405535968e21 1.9732683028112468e20 … -5.440149599371842e20 3.760968700941778e20; 1.7740319206934905e21 -2.9401765839865122e20 … 3.760968700941778e20 -4.793208036111016e20;;; -1.4836363829035095e22 2.071013055504413e21 … -3.656218614657985e21 3.492816213751279e21; 2.071013055504413e21 -3.713006671095217e20 … 3.914202710422496e20 -5.7591495706474106e20; … ; -3.656218614657985e21 3.914202710422496e20 … -1.081030102388393e21 7.453433319763579e20; 3.492816213751279e21 -5.759149570647409e20 … 7.453433319763579e20 -9.41362691105749e20], Mππττ = [0.0 0.0 … 2.4950786401194828e22 4.957991077808086e22; 0.0 0.0 … 7.356256285710468e22 1.4620944723246468e23; … ; 0.0 0.0 … 8.32005783069615e22 1.6398271642636478e23; 0.0 0.0 … 2.312335884852783e23 4.610324041601935e23], nmin = 1, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 4.594074770613525e20 … 1.5070575989112147e20 8.049483736034658e19; … ; 0.0 -7.643560411443642e21 … -1.766092590312008e21 -2.36455037882737e21; 0.0 7.941766143307472e21 … 2.49734753100036e21 1.6298383473838952e21;;; 0.0 0.0 … 0.0 0.0; 0.0 9.01841480532334e20 … 2.9488333931723853e20 1.6020853774212855e20; … ; 0.0 -1.5179484470003464e22 … -3.4988977247543084e21 -4.6993256121657233e21; 0.0 1.5633773636559363e22 … 4.900620668475255e21 3.2363051950150873e21;;; 0.0 0.0 … 0.0 0.0; 0.0 1.7707678698100773e21 … 5.7712408768976224e20 3.187882296356513e20; … ; 0.0 -3.0145480650511744e22 … -6.931851125627285e21 -9.340086622481864e21; 0.0 3.078074880381268e22 … 9.618245406516903e21 6.42584694717739e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 -5.654073469949859e21 … -1.5389515262757105e21 -1.4064218134180447e21; … ; 0.0 -1.5389515262757105e21 … -4.887082634743123e20 -3.059349494850811e20; 0.0 -1.4064218134180447e21 … -3.05934949485081e20 -4.61601158297766e20;;; 0.0 0.0 … 0.0 0.0; 0.0 -1.1169617667880552e22 … -3.0277185261848373e21 -2.797535244594491e21; … ; 0.0 -3.0277185261848373e21 … -9.584062073303448e20 -6.077094199649057e20; 0.0 -2.797535244594491e21 … -6.077094199649056e20 -9.173170260217481e20;;; 0.0 0.0 … 0.0 0.0; 0.0 -2.2068895409997875e22 … -5.95773216475517e21 -5.564395664929285e21; … ; 0.0 -5.957732164755171e21 … -1.879870225250007e21 -1.2070536642084324e21; 0.0 -5.564395664929285e21 … -1.2070536642084324e21 -1.8230913012201009e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 7.4521075895413265e22 1.4809006453784008e23; … ; 0.0 0.0 … 2.209083174871646e23 4.402503881422411e23; 0.0 0.0 … 1.0693738527972723e23 2.110346914689605e23], nmin = 2, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.7661446830436393e21 -2.1785778414973548e21; 0.0 0.0 … 2.7012752168032503e21 -1.6822157755007527e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 3.497534457590643e21 -4.273881366855639e21; 0.0 0.0 … 5.368107399963211e21 -3.338036388772147e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 6.926307822637923e21 -8.385848626008758e21; 0.0 0.0 … 1.06684163590797e22 -6.6234487943447e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -8.990807001002892e20 6.114184437419883e20; 0.0 0.0 … 6.114184437419883e20 -7.346999802820343e20;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.7861739329420132e21 1.210739585245546e21; 0.0 0.0 … 1.210739585245546e21 -1.4420557654061008e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.548735816499661e21 2.397573811540613e21; 0.0 0.0 … 2.397573811540613e21 -2.8309014734889623e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 9.587410150643736e22 1.89385476987771e23; 0.0 0.0 … 2.3459449959295518e23 4.6752641143625916e23], nmin = 3, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.820597215012839e21 -2.5010750859701843e21; 0.0 0.0 … 2.339992234576375e21 1.7008434298568222e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.6021416228753695e21 -4.969684064883718e21; 0.0 0.0 … 4.5886327221722447e21 3.3729537809165074e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -7.127245535378715e21 -9.87539286161567e21; 0.0 0.0 … 8.999765599125347e21 6.688762145888105e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -9.678291466096755e20 -6.76883240223466e20; 0.0 0.0 … -6.76883240223466e20 -1.0381314665783852e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.8966123581272592e21 -1.3426268871282105e21; 0.0 0.0 … -1.3426268871282102e21 -2.062916798283439e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.717437848190654e21 -2.663036427057152e21; 0.0 0.0 … -2.663036427057152e21 -4.099592915898166e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 2.2310459620580215e23 4.4426822418245343e23; 0.0 0.0 … 1.2346969372846651e23 2.4417839522727812e23], nmin = 4, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.8139482026302004e21 -1.922955039056183e21; 0.0 0.0 … 2.989015196736736e21 -1.774912038411314e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 3.5859082878586575e21 -3.7688114093579064e21; 0.0 0.0 … 5.937561170793925e21 -3.515877597764067e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 7.089182453901672e21 -7.387946845428333e21; 0.0 0.0 … 1.1795328954619168e22 -6.96453987340816e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.8383375851469453e21 1.1795130468977919e21; 0.0 0.0 … 1.1795130468977919e21 -1.2228474661377433e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.650076415865155e21 2.331924965712985e21; 0.0 0.0 … 2.331924965712985e21 -2.3979481572951337e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -7.24772641815432e21 4.6105337141939017e21; 0.0 0.0 … 4.6105337141939017e21 -4.703123170991452e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.3185218547213114e23 2.61363015730627e23; 0.0 0.0 … 2.3961831552439297e23 4.7708569216337396e23], nmin = 5, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.8592141868353963e21 -2.7689104691959274e21; 0.0 0.0 … 2.011932628178316e21 1.7904329052604982e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.670362919421293e21 -5.497981213210878e21; 0.0 0.0 … 3.940440191761817e21 3.542910039313437e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -7.246469088746187e21 -1.0917392475289438e22; 0.0 0.0 … 7.719105727582097e21 7.010909988786317e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.389104803633932e21 -1.1946854581280852e21; 0.0 0.0 … -1.1946854581280852e21 -1.9568381843971407e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -2.7185995237011017e21 -2.364013754991083e21; 0.0 0.0 … -2.364013754991083e21 -3.8867552897878967e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -5.321741294028404e21 -4.677933404821863e21; 0.0 0.0 … -4.677933404821863e21 -7.720456354808908e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 2.2064908035337283e23 4.387419717016566e23; 0.0 0.0 … 1.653151375972636e23 3.2790163767712275e23], nmin = 6, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.7600357330844013e21 -1.4205331514013416e21; 0.0 0.0 … 3.5990542394015356e21 -1.860532435950302e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 3.4700832823472114e21 -2.7798696628635624e21; 0.0 0.0 … 7.140966681296235e21 -3.675717471820754e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 6.842421634499441e21 -5.441226314863477e21; 0.0 0.0 … 1.4169366693256154e22 -7.262345910093292e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.792819081716976e21 2.0877946582082726e21; 0.0 0.0 … 2.0877946582082726e21 -1.657441297203784e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -7.519957972850259e21 4.117306098910232e21; 0.0 0.0 … 4.117306098910232e21 -3.245227863252615e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.4910734578195936e22 8.120612543854719e21; 0.0 0.0 … 8.120612543854719e21 -6.35544577847116e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 2.337918721715197e23 4.647117256223566e23; 0.0 0.0 … 2.4007966302950592e23 4.7724918895726194e23], nmin = 7, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.6864193045714158e21 -3.1823007591192294e21; 0.0 0.0 … 1.3754032444061773e21 1.78496478673016e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.31860658418729e21 -6.307423936448634e21; 0.0 0.0 … 2.688742658147337e21 3.5211863914994593e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -6.531590465337953e21 -1.2502443940926248e22; 0.0 0.0 … 5.257493544013438e21 6.946945810338582e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.5400537634716532e21 -1.939655454700587e21; 0.0 0.0 … -1.9396554547005867e21 -3.949250449755723e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -3.0079496503120935e21 -3.825125967959605e21; 0.0 0.0 … -3.8251259679596043e21 -7.832858021380489e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -5.876585154196315e21 -7.544202262991468e21; 0.0 0.0 … -7.544202262991467e21 -1.5536519016746729e22], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.9216010188593937e23 3.8123816015643474e23; 0.0 0.0 … 2.8184567231227362e23 5.6036590453099176e23], nmin = 8, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 9.358807377040984e20 -4.1264305131729125e20; 0.0 0.0 … 5.292562778845838e21 -1.7362945430548272e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 1.8392081353806793e21 -8.061158398572306e20; 0.0 0.0 … 1.0473642648826794e22 -3.417793850683656e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 3.6151707399067177e21 -1.5752085081383916e21; 0.0 0.0 … 2.072891905392696e22 -6.728807855623876e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -1.1874442650129877e22 4.0794095588584603e21; 0.0 0.0 … 4.0794095588584603e21 -1.7986693604463409e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -2.3474722301062827e22 8.016922398262255e21; 0.0 0.0 … 8.016922398262256e21 -3.5137774827250846e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … -4.6413637752838334e22 1.575816391889855e22; 0.0 0.0 … 1.575816391889855e22 -6.866174701980715e21], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 7.243441813324107e23 1.4399794908955394e24; 0.0 0.0 … 2.1224536094039614e23 4.209066091723316e23], nmin = 9, qlo = -12, qhi = 80, sym = 1, ng = 100), (Mτd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 9.759014279716345e20;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 1.9181374211458274e21;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 3.770852595692575e21], Mπd = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0;;; … ;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 -1.2434207832890073e22;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 -2.458366367985936e22;;; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 -4.861071903344153e22], Mππττ = [0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 8.460402201366554e23 1.6819930380342997e24], nmin = 10, qlo = -12, qhi = 80, sym = 1, ng = 100)], (ψ = [(2, [0.3333333333333333, -0.03333333333333333, 0.0011904761904761906, -2.2045855379188714e-5, 2.505210838544172e-7, -1.9270852604185937e-9, 1.0706029224547743e-11, -4.498331606952833e-14, 1.4797143443923793e-16, -3.9145882126782523e-19  …  6.95188564451722e-52, -3.6782463727604336e-55, 1.778649116421873e-58, -7.891078599919579e-62, 3.2234798202285863e-65, -1.216407479331542e-68, 4.253173004655741e-72, -1.381797597354042e-75, 4.182196117899643e-79, -1.182079174081301e-82]), (3, [0.06666666666666667, -0.004761904761904762, 0.00013227513227513228, -2.0041686708353374e-6, 1.9270852604185938e-8, -1.284723506945729e-10, 6.297664249733966e-13, -2.367542951027807e-15, 7.046258782820854e-18, -1.701994875077501e-20  …  1.5448634765593823e-53, -7.826056112256243e-57, 3.6298961559630063e-60, -1.5472703137097214e-63, 6.08203739665771e-67, -2.2116499624209855e-70, 7.461707025711826e-74, -2.3420298260238e-77, 6.856059209671546e-81, -1.8763161493353983e-84]), (4, [0.009523809523809525, -0.0005291005291005291, 1.2025012025012024e-5, -1.541668208334875e-7, 1.284723506945729e-9, -7.55719709968076e-12, 3.31456013143893e-14, -1.1274014052513367e-16, 3.063590775139502e-19, -6.807979500310004e-22  …  3.2869435671476214e-55, -1.5971543086237228e-58, 7.117443443064718e-62, -2.919377950395701e-65, 1.1058249812104927e-68, -3.88008765337015e-72, 1.264696106052852e-75, -3.839393157416066e-79, 1.088263366614531e-82, -2.8866402297467667e-86]), (5, [0.0010582010582010583, -4.81000481000481e-5, 9.25000925000925e-7, -1.0277788055565833e-8, 7.55719709968076e-11, -3.977472157726716e-13, 1.5783619673518714e-15, -4.901745240223203e-18, 1.2254363100558008e-20, -2.5214738890037053e-23  …  6.708048096219635e-57, -3.131675114948476e-60, 1.3429138571820223e-63, -5.307959909810365e-67, 1.940043826685075e-70, -6.5764197514748305e-74, 2.0732723050046753e-77, -6.094274853041374e-81, 1.6742513332531247e-84, -4.308418253353383e-88]), (6, [9.62000962000962e-5, -3.7000037000037e-6, 6.1666728333395e-8, -6.045757679744608e-10, 3.977472157726716e-12, -1.8940343608222456e-14, 6.862443336312483e-17, -1.9606980960892812e-19, 4.538653000206669e-22, -8.69473754828864e-25  …  1.31530354827836e-58, -5.908820971600898e-62, 2.441661558512768e-65, -9.31221036808836e-69, 3.2882098757374153e-72, -1.0781015986024312e-75, 3.290908420642342e-79, -9.375807466217499e-83, 2.4988825869449622e-86, -6.244084425149831e-90]), (7, [7.4000074000074e-6, -2.4666691333358e-7, 3.627454607846765e-9, -3.181977726181373e-11, 1.8940343608222457e-13, -8.234932003574981e-16, 2.7449773345249934e-18, -7.26184480033067e-21, 1.565052758691955e-23, -2.8047540478350445e-26  …  2.4817048080723773e-60, -1.074331085745618e-63, 4.283616769320646e-67, -1.5783407403539593e-70, 5.390507993012156e-74, -1.7112723787340177e-77, 5.062936031757449e-81, -1.399374248689179e-84, 3.621568966586902e-88, -8.794485105844832e-92]), (8, [4.9333382666716e-7, -1.450981843138706e-8, 1.9091866357088235e-10, -1.5152274886577965e-12, 8.23493200357498e-15, -3.2939728014299924e-17, 1.0166582720462939e-19, -2.504084413907128e-22, 5.04855728610308e-25, -8.499254690409227e-28  …  4.512190560131595e-62, -1.884791378501084e-65, 7.260367405628212e-69, -2.587443836645835e-72, 8.556361893670089e-76, -2.6327267365138734e-79, 7.556620942921566e-83, -2.028078621288665e-86, 5.100801361390003e-90, -1.2047239871020318e-93]), (9, [2.901963686277412e-8, -7.636746542835294e-10, 9.091364931946779e-12, -6.587945602859985e-14, 3.293972801429992e-16, -1.2199899264555528e-18, 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+
+
+<div class="markdown"><h2 id="2.-Spectrum-and-sensitivities">2. Spectrum and sensitivities</h2><p>Sweep the wavelength across a band; at each point reconstruct the T-matrix and read off the scattering / extinction cross sections. The sensitivities <span class="tex">\(\partial C_\text{sca}/\partial\lambda\)</span> and <span class="tex">\(\partial C_\text{sca}/\partial m_r\)</span> come from <code>ForwardDiff</code> applied to the <strong>reconstruction only</strong> — the moments in <code>prep</code> are constants.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    mᵣ = 1.5
+    λs = collect(range(2π / 1.6, 2π / 0.6; length = 60))
+
+    Csca(λ, m) = calc_Csca(transition_matrix(prep, λ, complex(m, mᵢ)), λ)
+    Cext(λ, m) = calc_Cext(transition_matrix(prep, λ, complex(m, mᵢ)), λ)
+
+    csca = [Csca(λ, mᵣ) for λ in λs]
+    cext = [Cext(λ, mᵣ) for λ in λs]
+
+    ∂Csca_∂λ = [ForwardDiff.derivative(l -&gt; Csca(l, mᵣ), λ) for λ in λs]
+    ∂Csca_∂mᵣ = [ForwardDiff.derivative(m -&gt; Csca(λ, m), mᵣ) for λ in λs]
+    nothing
+end</code></pre>
+
+
+
+<div class="markdown"><h2 id="3.-The-spectra-and-their-sensitivities">3. The spectra and their sensitivities</h2></div>
+
+<pre class='language-julia'><code class='language-julia'>let
+    p1 = plot(λs, [csca cext]; label = ["Csca" "Cext"], lw = 2,
+        ylabel = "cross section", legend = :topright)
+    p2 = plot(λs, ∂Csca_∂λ; label = "∂Csca/∂λ", lw = 2, color = 3, ylabel = "∂/∂λ")
+    p3 = plot(λs, ∂Csca_∂mᵣ; label = "∂Csca/∂mᵣ", lw = 2, color = 4,
+        xlabel = "wavelength λ", ylabel = "∂/∂mᵣ")
+    plot(p1, p2, p3; layout = (3, 1), size = (720, 660),
+        title = ["spheroid a=2, c=1, m=1.5+0.02im" "" ""])
+end</code></pre>
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+
+
+<div class="markdown"><h2 id="4.-Why-it-is-cheap-—-and-how-much">4. Why it is cheap — and how much</h2><p>Differentiating the <strong>reconstruction</strong> reuses the single <code>prepare_sh</code> for the whole spectrum; differentiating the <strong>classic from-scratch assembly</strong> re-runs the full quadrature and Bessel recursions (in dual numbers) at every wavelength.</p></div>
+
+<pre class='language-julia'><code class='language-julia'>begin
+    function Csca_classic(λ, m)
+        T = promote_type(typeof(λ), typeof(m))
+        s = TransitionMatrices.Spheroid{T, Complex{T}}(T(2.0), T(1.0), Complex{T}(m, mᵢ))
+        calc_Csca(transition_matrix(s, λ, EBCM(nmax, Ng)), λ)
+    end
+
+    f_sh(λ) = ForwardDiff.derivative(l -&gt; Csca(l, mᵣ), λ)
+    f_classic(λ) = ForwardDiff.derivative(l -&gt; Csca_classic(l, mᵣ), λ)
+    f_sh(λs[1]); f_classic(λs[1])   # warm up
+
+    t_prepare = @belapsed prepare_sh($spheroid, $nmax, $Ng) samples=1 evals=1
+    t_sh = @belapsed [f_sh(λ) for λ in $λs] samples=1 evals=1
+    t_classic = @belapsed [f_classic(λ) for λ in $λs] samples=1 evals=1
+
+    (; n_points = length(λs),
+        sh_ms = round((t_prepare + t_sh) * 1e3; digits = 1),
+        classic_ms = round(t_classic * 1e3; digits = 1),
+        speedup = round(t_classic / (t_prepare + t_sh); digits = 1))
+end</code></pre>
+<pre class="code-output documenter-example-output" id="var-Csca_classic">(n_points = 60, sh_ms = 224.5, classic_ms = 5927.6, speedup = 26.4)</pre>
+
+
+<div class="markdown"><h2 id="Takeaway">Takeaway</h2><p><code>prepare_sh</code> once, then <code>ForwardDiff</code> the reconstruction, gives exact <span class="tex">\(\partial C/\partial\lambda\)</span> and <span class="tex">\(\partial C/\partial m_r\)</span> (matching the classic result to machine precision) at a large speedup for spectra — the win grows with the number of wavelengths because the geometry quadrature is amortized.</p><p>Ideal for <strong>material/wavelength sensitivity</strong> (retrievals, dispersion fitting). Shape-parameter derivatives act on the moments themselves and are better served by the dedicated analytical EBCM linearization backend.</p></div>
+
+<!-- PlutoStaticHTML.End -->
+```
+
diff --git a/docs/src/usage.md b/docs/src/usage.md
index 0b1bacc..f065ffd 100644
--- a/docs/src/usage.md
+++ b/docs/src/usage.md
@@ -38,24 +38,122 @@ chebyshev = Chebyshev{Arb, Acb}(1.0, 0.1, 4, 1.5+0.01im);
 
 ## Calculate the T-Matrix
 
-After defining a shape, the T-Matrix can be calculated using the `transition_matrix` function. It has an alias `calc_T` for convenience.
+After defining a shape, the T-Matrix is computed with `transition_matrix` (alias
+`calc_T`). The solvers are organized into **two layers**, selected by the kind of
+*solver object* you pass as the third argument:
 
-Take the spheroid defined above as an example, and suppose the wavelength is `λ=2π`. The T-Matrix can be calculated iteratively as follows:
+- an **iterative solver** ([`Iterative`](@ref)) sweeps the discretization until
+  the scattering/extinction efficiencies converge;
+- a **fixed solution** ([`EBCM`](@ref), [`IITM`](@ref), [`ShMatrix`](@ref))
+  builds the T-matrix once at an explicit discretization.
+
+The bare call uses an automatically-converged classic EBCM — the common default:
 
 ```julia
-𝐓 = calc_T(spheroid, 2π)
+𝐓 = calc_T(spheroid, 2π)                          # ≡ transition_matrix(spheroid, 2π, Iterative(EBCM))
 ```
 
-To see the process, you can turn on debugging by setting `ENV["JULIA_DEBUG"] = "TransitionMatrices"`, and then run the above code.
+To see the convergence process, set `ENV["JULIA_DEBUG"] = "TransitionMatrices"`
+before running. Tune the convergence (or switch on stabilization) by passing an
+explicit `Iterative`:
 
-There are many optional keyword arguments, and you can refer to the detailed documentation of the [`transition_matrix`](@ref).
+```julia
+𝐓 = transition_matrix(spheroid, 2π, Iterative(EBCM; threshold = 1e-7))
+```
 
-You can also calculate the T-Matrix directly by specifying the truncation order and number of Gauss-Legendre quadrature points:
+For a fixed build, pass a fixed solver with its discretization:
 
 ```julia
-𝐓 = transition_matrix(spheroid, 2π, 10, 100)
+𝐓 = transition_matrix(spheroid, 2π, EBCM(10, 100))       # order 10, 100 quadrature points
+𝐓 = transition_matrix(cylinder, 2π, IITM(10, 20, 24))    # IITM: order, Nr, Nϑ
+𝐓 = transition_matrix(spheroid, 2π, ShMatrix(10, 200))   # Sh-matrix moment separation
 ```
 
+### High-aspect-ratio spheroids (`stable`)
+
+For spheroids of high aspect ratio the standard EBCM surface integrals lose all
+precision in `Float64`: the irregular Riccati–Bessel products develop large
+Laurent terms that cancel analytically on integration but not numerically. The
+`stable` option assembles the `𝐔`-matrix with the cancellation-free `F⁺`
+formulation of [Somerville, Auguié & Le Ru (2013)](https://doi.org/10.1016/j.jqsrt.2012.07.017),
+which removes the cancellation and restores a relative accuracy of about `1e-9`
+in `Float64`, independent of aspect ratio. It is available on **both layers** —
+auto-converged or fixed:
+
+```julia
+prolate = Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)  # aspect 4
+𝐓 = transition_matrix(prolate, 2π, Iterative(EBCM; stable = true))  # converged + stabilized
+𝐓 = transition_matrix(prolate, 2π, EBCM(32, 400; stable = true))    # fixed + stabilized
+```
+
+`stable` is **only valid for `Spheroid`** (the cancellation relies on the spheroid
+surface) and costs roughly 2–3× the default assembly, so it is opt-in. For a fixed
+build to help, choose `nₘₐₓ` large enough that `nₘₐₓ + 1 ≳ k·c + 15`, where `c` is
+the largest semi-axis — comparable to the order needed for convergence at that
+size anyway (the iterative form finds it for you).
+
+`stable` and extended precision are **orthogonal** and stack. Just raising
+precision without `stable` (e.g. `Spheroid{Double64}`) only buys ~15 extra digits
+of headroom against the cancellation — enough for moderate aspect ratios but not
+high ones — and is several times slower; for a high-aspect spheroid `stable` in
+`Float64` is both more accurate and faster. When you need more than `~1e-9`,
+combine the two: `stable` with a `Double64` element type reaches `~1e-25` at high
+aspect ratio, and also lowers the residual `Float64` round-off floor that appears
+as the refractive index approaches `s → 1`.
+
+### Parameter sweeps with the Sh-matrix method (`prepare_sh`)
+
+When you need the T-matrix of one fixed shape at *many* wavelengths or
+refractive indices — a spectrum, a dispersion curve, a refractive-index scan —
+the bulk of the work (the Gauss–Legendre surface quadrature and the Wigner
+functions) does not change between points. The Sh-matrix moment-separation
+method (Farafonov family) exploits this: every EBCM surface integral factors as
+
+```math
+\int = \sum_{\text{terms}} \big[\text{coefficient in } (k, m_r)\big]\times\big[\text{shape-only moment } M(q)\big],
+```
+
+where the *shape moments* depend only on the particle geometry and the azimuthal
+index — not on the wavelength or the refractive index. `prepare_sh` computes the
+moments once; each `transition_matrix(prep, λ, mᵣ)` is then a cheap
+coefficient×moment reconstruction:
+
+```julia
+spheroid = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+prep = prepare_sh(spheroid, 10, 200)
+
+# one wavelength / refractive index
+𝐓 = transition_matrix(prep, 2π, 1.5 + 0.02im)
+
+# a full sweep, reusing the single preparation
+λs = range(2π, 3π; length = 50)
+𝐓s = transition_matrix_spectrum(prep, λs, 1.5 + 0.02im)        # fixed index
+𝐓s = transition_matrix_spectrum(prep, λs, my_dispersion.(λs))  # λ-dependent index
+```
+
+The same sweep is available through the [`ShMatrix`](@ref) fixed-solver façade,
+which prepares once internally and reconstructs at each point:
+
+```julia
+𝐓s = transition_matrix(spheroid, λs, my_dispersion.(λs), ShMatrix(10, 200))
+```
+
+For a spheroid the reconstruction also inherits the high-aspect-ratio
+stabilization for free: the negative-`r`-power moments vanish analytically, so —
+accumulated at high precision inside `prepare_sh` — they contribute ≈0 and the
+irregular-product cancellation that defeats the standard `Float64` assembly
+never forms (`prep.stable` reports this). The cross sections of the
+reconstructed T-matrix match the standard assembly to roughly `1e-9`–`1e-15` for
+moderate sizes, and the high-aspect path tracks the `stable=true` result.
+
+`prepare_sh` accepts a keyword `B` (the number of radial power-series terms,
+default `max(30, nₘₐₓ+15)`). Like the `F⁺` evaluation, the series needs more
+terms as the size parameter `k·rₘₐₓ·|mᵣ|` grows, so the method is best suited to
+small-to-moderate size parameters; very large particles still want the recursion
+path. The analytic `𝐔` stabilization is enabled only for `Spheroid` — for other
+axisymmetric shapes the moment machinery and `𝐏` are correct and the sweep reuse
+still applies, but the `𝐔` reconstruction is not stabilized.
+
 ## Post-processing
 
 After getting the T-Matrix, you can calculate the far-field scattering properties using the following functions:
@@ -112,14 +210,14 @@ function f(x)
     Csca = calc_Csca(T₀)
 end
 
-gradient = ForwardDiff.gradient(f, [2.0, 3.0, 1.311, 0.02, 2π])
+gradient = round.(ForwardDiff.gradient(f, [2.0, 3.0, 1.311, 0.02, 2π]); digits = 12)
 
 # output
 
 5-element Vector{Float64}:
-  19.872009666582716
-   5.740718904091895
-  89.1305069099317
- -45.84568759716397
-  -9.066448506675068
+  19.872009666583
+   5.740718904092
+  89.130506909932
+ -45.845687597164
+  -9.066448506675
 ```
diff --git a/examples/Project.toml b/examples/Project.toml
new file mode 100644
index 0000000..d7d3994
--- /dev/null
+++ b/examples/Project.toml
@@ -0,0 +1,6 @@
+[deps]
+BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781"
+TransitionMatrices = "057c4241-e127-4181-840e-6b4b92e6eef5"
diff --git a/examples/README.md b/examples/README.md
new file mode 100644
index 0000000..27bebf8
--- /dev/null
+++ b/examples/README.md
@@ -0,0 +1,40 @@
+# Examples
+
+Runnable examples for `TransitionMatrices.jl`, as [Pluto.jl](https://plutojl.org)
+notebooks. They use this `examples/` environment ([`Project.toml`](Project.toml)),
+which includes `Pluto`, `Plots`, `ForwardDiff`, and develops the parent package.
+
+## Running a notebook
+
+```julia
+julia> import Pkg; Pkg.activate("examples"); Pkg.instantiate()  # first time only
+julia> using Pluto; Pluto.run()
+```
+
+Then open the notebook from the Pluto start page. Each notebook's first cell
+activates this environment and develops `TransitionMatrices` from the repo root,
+so it works from a fresh checkout (the first run installs dependencies).
+
+## Notebooks
+
+- [`shapes_gallery.jl`](shapes_gallery.jl) — **quick-start gallery**: define a
+  spheroid, cylinder, Chebyshev particle, and N-fold prism; compute each
+  T-matrix and its `Qsca`/`Qext`/`g`/`ω`; notes on which solver to use.
+- [`angular_scattering.jl`](angular_scattering.jl) — **angular scattering &
+  polarization**: the orientation-averaged scattering (Mueller) matrix vs angle
+  (phase function `F₁₁`, linear polarization `-F₁₂/F₁₁`, `F₂₂/F₁₁`, `F₄₄/F₁₁`),
+  plus the fixed-geometry amplitude/phase matrices.
+- [`orientation_averaging.jl`](orientation_averaging.jl) — **orientation
+  averaging**: Mishchenko's analytic `RandomOrientationTransitionMatrix` vs the
+  numerical `orientation_average`, and the numerical average converging to it.
+- [`solver_landscape.jl`](solver_landscape.jl) — **solver landscape &
+  convergence**: the two-layer API (`EBCM`, `IITM`, `Iterative`, `stable`) on a
+  high-aspect spheroid, showing classic EBCM diverging with `nₘₐₓ` while the
+  stabilized path holds.
+- [`spectral_sensitivity.jl`](spectral_sensitivity.jl) — **fast wavelength /
+  refractive-index sensitivities** via the Sh-matrix moment-separation backend.
+  `prepare_sh` runs the geometry quadrature once; differentiating the cheap
+  reconstruction with `ForwardDiff` then gives exact `∂Cₛ𝚌ₐ/∂λ` and `∂Cₛ𝚌ₐ/∂mᵣ`
+  across a whole spectrum at a large speedup over differentiating the
+  from-scratch assembly. Includes plots of the spectra and their sensitivities,
+  and a timing comparison.
diff --git a/examples/angular_scattering.jl b/examples/angular_scattering.jl
new file mode 100644
index 0000000..08dcf89
--- /dev/null
+++ b/examples/angular_scattering.jl
@@ -0,0 +1,102 @@
+### A Pluto.jl notebook ###
+# v1.0.1
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 226c9e5c-6082-11f1-9059-f9e778e9b2f8
+begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end
+
+# ╔═╡ 226c9e04-6082-11f1-9773-191ee2516176
+md"""
+# Angular scattering & polarization
+
+From a T-matrix you can read off the full far field: the **amplitude matrix**
+``\mathbf{S}`` at a fixed geometry, its **phase matrix** ``\mathbf{Z}``, and the
+orientation-averaged **scattering (Mueller) matrix** ``\mathbf{F}(\theta)``.
+
+This notebook plots the phase function ``F_{11}(\theta)``, the degree of linear
+polarization ``-F_{12}/F_{11}`` (for unpolarized incidence) and the ratios
+``F_{22}/F_{11}``, ``F_{44}/F_{11}`` for a spheroid.
+"""
+
+# ╔═╡ 226c9e70-6082-11f1-a65b-3b159155fbf8
+md"""
+## Build a T-matrix
+"""
+
+# ╔═╡ 226c9e7a-6082-11f1-9dc0-75a4e1f6bbbb
+begin
+    λ = 2π
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    T = calc_T(spheroid, λ)
+end
+
+# ╔═╡ 226c9e84-6082-11f1-bc9f-71d54665c33b
+md"""
+## Orientation-averaged scattering matrix vs angle
+
+`scattering_matrix(T, λ, θs)` returns an `Nθ × 6` matrix whose columns are
+`[F₁₁, F₁₂, F₂₂, F₃₃, F₃₄, F₄₄]` (`θs` in degrees).
+"""
+
+# ╔═╡ 226c9e8e-6082-11f1-bdcf-7b0495b58d1e
+begin
+    θs = collect(0.0:1.0:180.0)
+    F = scattering_matrix(T, λ, θs)
+    F11 = F[:, 1]
+    pol = -F[:, 2] ./ F[:, 1]      # degree of linear polarization
+    F22_11 = F[:, 3] ./ F[:, 1]
+    F44_11 = F[:, 6] ./ F[:, 1]
+    nothing
+end
+
+# ╔═╡ 226c9eac-6082-11f1-8892-375f3d9f7416
+md"""
+## Plots
+"""
+
+# ╔═╡ 226c9eb6-6082-11f1-9cb8-e38b0c25c94a
+let
+    p1 = plot(θs, F11; yscale = :log10, lw = 2, label = "F₁₁",
+        ylabel = "phase function", legend = :topright)
+    p2 = plot(θs, pol; lw = 2, color = 2, label = "-F₁₂/F₁₁",
+        ylabel = "lin. polarization")
+    p3 = plot(θs, [F22_11 F44_11]; lw = 2, label = ["F₂₂/F₁₁" "F₄₄/F₁₁"],
+        xlabel = "scattering angle θ (deg)", ylabel = "ratio")
+    plot(p1, p2, p3; layout = (3, 1), size = (720, 660),
+        title = ["spheroid a=2, c=1, m=1.5+0.02im" "" ""])
+end
+
+# ╔═╡ 226c9eca-6082-11f1-a933-f9b57543d7a2
+md"""
+## Amplitude and phase matrix at a fixed geometry
+
+For a specific incidence/scattering direction, `amplitude_matrix` gives the 2×2
+complex ``\mathbf{S}`` and `phase_matrix` the 4×4 Mueller ``\mathbf{Z}``.
+"""
+
+# ╔═╡ 226c9ede-6082-11f1-82d2-43db7f93d579
+begin
+    S = amplitude_matrix(T, 0.0, 0.0, π / 4, 0.0; λ = λ)   # ϑᵢ,φᵢ → ϑₛ,φₛ
+    Z = phase_matrix(S)
+    (; S, Z)
+end
+
+# ╔═╡ Cell order:
+# ╟─226c9e04-6082-11f1-9773-191ee2516176
+# ╠═226c9e5c-6082-11f1-9059-f9e778e9b2f8
+# ╟─226c9e70-6082-11f1-a65b-3b159155fbf8
+# ╠═226c9e7a-6082-11f1-9dc0-75a4e1f6bbbb
+# ╟─226c9e84-6082-11f1-bc9f-71d54665c33b
+# ╠═226c9e8e-6082-11f1-bdcf-7b0495b58d1e
+# ╟─226c9eac-6082-11f1-8892-375f3d9f7416
+# ╠═226c9eb6-6082-11f1-9cb8-e38b0c25c94a
+# ╟─226c9eca-6082-11f1-a933-f9b57543d7a2
+# ╠═226c9ede-6082-11f1-82d2-43db7f93d579
diff --git a/examples/orientation_averaging.jl b/examples/orientation_averaging.jl
new file mode 100644
index 0000000..2261ae2
--- /dev/null
+++ b/examples/orientation_averaging.jl
@@ -0,0 +1,110 @@
+### A Pluto.jl notebook ###
+# v1.0.1
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 2366dfd4-6082-11f1-bc99-e3b4423633f0
+begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end
+
+# ╔═╡ 2366df48-6082-11f1-880f-99c1a49d5d94
+md"""
+# Orientation averaging
+
+For randomly oriented particles you need the orientation-averaged scattering
+quantities. `TransitionMatrices.jl` offers two routes:
+
+- **`RandomOrientationTransitionMatrix(T)`** — Mishchenko's *analytic* closed
+  form for the orientation average (fast, exact);
+- **`orientation_average(T, p; Nα, Nβ, Nγ)`** — *numerical* average over the
+  Euler angles against an orientation distribution `p`.
+
+This notebook checks they agree and shows the numerical average converging to the
+analytic value as the angular grid is refined.
+"""
+
+# ╔═╡ 2366dfe8-6082-11f1-b905-b7bae29b9c75
+md"""
+## A non-spherical particle
+"""
+
+# ╔═╡ 2366dff2-6082-11f1-bcad-09c1d7464bc5
+begin
+    λ = 2π
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    T = calc_T(spheroid, λ)
+    uniform = (α, β, γ) -> 1 / (8π^2)   # isotropic orientation distribution
+end
+
+# ╔═╡ 2366dff2-6082-11f1-b19f-9f43b5fe61a4
+md"""
+## Analytic vs numerical
+
+Both should give the same orientation-averaged efficiencies.
+"""
+
+# ╔═╡ 2366dffc-6082-11f1-8c98-1fba91e58dc3
+begin
+    Tanalytic = RandomOrientationTransitionMatrix(T)
+    Tnumeric = orientation_average(T, uniform; Nα = 20, Nβ = 20, Nγ = 20)
+
+    compare = [
+        (; method = "analytic (Mishchenko)", Qsca = calc_Csca(Tanalytic, λ),
+            Qext = calc_Cext(Tanalytic, λ), g = asymmetry_parameter(Tanalytic, λ)),
+        (; method = "numerical (20³ grid)", Qsca = calc_Csca(Tnumeric, λ),
+            Qext = calc_Cext(Tnumeric, λ), g = asymmetry_parameter(Tnumeric, λ)),
+    ]
+end
+
+# ╔═╡ 2366e008-6082-11f1-b755-1527ca352dc3
+md"""
+## Convergence of the numerical average
+
+The numerical average approaches the analytic value as the `β`-grid is refined;
+the analytic closed form gives it directly, at a fraction of the cost.
+"""
+
+# ╔═╡ 2366e024-6082-11f1-bc7a-5d2a795a9fec
+begin
+    Qref = calc_Csca(Tanalytic, λ)
+    Ns = 4:2:18
+    errs = [abs(calc_Csca(orientation_average(T, uniform; Nα = 2, Nβ = N, Nγ = 2), λ) - Qref) / Qref
+            for N in Ns]
+    nothing
+end
+
+# ╔═╡ 2366e02e-6082-11f1-9678-c1ad121a4222
+let
+    plot(collect(Ns), errs; yscale = :log10, lw = 2, marker = :circle,
+        xlabel = "β-grid points Nβ", ylabel = "|Qsca_numeric − Qsca_analytic| / Qsca",
+        label = "numerical average", legend = :topright,
+        title = "convergence to the analytic orientation average", size = (680, 400))
+end
+
+# ╔═╡ 2366e03a-6082-11f1-958b-71200c5d7a31
+md"""
+## Takeaway
+
+The analytic `RandomOrientationTransitionMatrix` is both exact and much cheaper
+than refining a 3-D Euler-angle quadrature — prefer it for random-orientation
+cross sections. The numerical `orientation_average` remains useful for
+*non-uniform* orientation distributions (just pass a different `p`).
+"""
+
+# ╔═╡ Cell order:
+# ╟─2366df48-6082-11f1-880f-99c1a49d5d94
+# ╠═2366dfd4-6082-11f1-bc99-e3b4423633f0
+# ╟─2366dfe8-6082-11f1-b905-b7bae29b9c75
+# ╠═2366dff2-6082-11f1-bcad-09c1d7464bc5
+# ╟─2366dff2-6082-11f1-b19f-9f43b5fe61a4
+# ╠═2366dffc-6082-11f1-8c98-1fba91e58dc3
+# ╟─2366e008-6082-11f1-b755-1527ca352dc3
+# ╠═2366e024-6082-11f1-bc7a-5d2a795a9fec
+# ╠═2366e02e-6082-11f1-9678-c1ad121a4222
+# ╟─2366e03a-6082-11f1-958b-71200c5d7a31
diff --git a/examples/shapes_gallery.jl b/examples/shapes_gallery.jl
new file mode 100644
index 0000000..f0924ce
--- /dev/null
+++ b/examples/shapes_gallery.jl
@@ -0,0 +1,106 @@
+### A Pluto.jl notebook ###
+# v1.0.1
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 2173870e-6082-11f1-89cd-4976913f2274
+begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end
+
+# ╔═╡ 21738632-6082-11f1-8c1a-07c117ac9474
+md"""
+# Shapes quick-start gallery
+
+`TransitionMatrices.jl` handles several scatterer families. This gallery defines
+one of each, computes its T-matrix, and reports the basic far-field efficiencies
+``Q_\text{sca}``, ``Q_\text{ext}``, the asymmetry parameter ``g`` and the
+single-scattering albedo ``\omega``.
+
+The axisymmetric shapes (spheroid, cylinder, Chebyshev particle) use the default
+EBCM solver via `calc_T`; the N-fold **prism** is not axisymmetric, so it uses
+the IITM solver.
+"""
+
+# ╔═╡ 21738718-6082-11f1-b6a5-5d3fd6d47663
+md"""
+## Define the shapes
+
+All at wavelength `λ = 2π` (so the size parameter equals the radius) and the same
+refractive index `m = 1.5 + 0.02im`.
+"""
+
+# ╔═╡ 2173872c-6082-11f1-808e-0fe676b65624
+begin
+    λ = 2π
+    m = 1.5 + 0.02im
+    shapes = (
+        spheroid  = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, m),
+        cylinder  = TransitionMatrices.Cylinder{Float64, ComplexF64}(1.0, 2.0, m),
+        chebyshev = TransitionMatrices.Chebyshev{Float64, ComplexF64}(1.0, 0.1, 4, m),
+        prism6    = TransitionMatrices.Prism(6, 1.0, 2.0, m),
+    )
+end
+
+# ╔═╡ 21738736-6082-11f1-a54e-010814dd76d9
+md"""
+## Compute and tabulate
+
+`calc_T` auto-converges the axisymmetric shapes; the prism uses a fixed-order
+IITM solve. Pluto renders the resulting vector of named tuples as a table.
+"""
+
+# ╔═╡ 2173874a-6082-11f1-8f4b-f3cee77b5fae
+begin
+    Tmatrix(s) = s isa TransitionMatrices.Prism ?
+        transition_matrix(s, λ, IITM(8, 12, 24, 24)) : calc_T(s, λ)
+
+    summary = map(collect(pairs(shapes))) do (name, s)
+        T = Tmatrix(s)
+        (; shape = name,
+            Qsca = round(calc_Csca(T, λ); digits = 4),
+            Qext = round(calc_Cext(T, λ); digits = 4),
+            g = round(asymmetry_parameter(T, λ); digits = 4),
+            ω = round(albedo(T); digits = 4))
+    end
+end
+
+# ╔═╡ 21738752-6082-11f1-8f31-fb7e99c75cc0
+md"""
+## Compare the efficiencies
+"""
+
+# ╔═╡ 2173875e-6082-11f1-8933-7da031c63642
+let
+    names = String.(getindex.(summary, :shape))
+    bar(names, [getindex.(summary, :Qsca) getindex.(summary, :Qext)];
+        label = ["Qsca" "Qext"], ylabel = "efficiency", legend = :topright,
+        title = "far-field efficiencies by shape", size = (680, 380))
+end
+
+# ╔═╡ 21738768-6082-11f1-8536-4125de072774
+md"""
+## Which solver?
+
+- **Spheroid / Cylinder / Chebyshev** — axisymmetric: EBCM (`calc_T`). For
+  high-aspect spheroids add the stabilized path, `Iterative(EBCM; stable=true)`.
+- **Prism / arbitrary 3-D** — not axisymmetric: IITM (`IITM(nₘₐₓ, Nr, Nϑ, Nφ)`).
+- For wavelength / refractive-index **sweeps** of an axisymmetric shape, see the
+  Sh-matrix examples (`ShMatrix`, `prepare_sh`).
+"""
+
+# ╔═╡ Cell order:
+# ╟─21738632-6082-11f1-8c1a-07c117ac9474
+# ╠═2173870e-6082-11f1-89cd-4976913f2274
+# ╟─21738718-6082-11f1-b6a5-5d3fd6d47663
+# ╠═2173872c-6082-11f1-808e-0fe676b65624
+# ╟─21738736-6082-11f1-a54e-010814dd76d9
+# ╠═2173874a-6082-11f1-8f4b-f3cee77b5fae
+# ╟─21738752-6082-11f1-8f31-fb7e99c75cc0
+# ╠═2173875e-6082-11f1-8933-7da031c63642
+# ╟─21738768-6082-11f1-8536-4125de072774
diff --git a/examples/solver_landscape.jl b/examples/solver_landscape.jl
new file mode 100644
index 0000000..cfc8266
--- /dev/null
+++ b/examples/solver_landscape.jl
@@ -0,0 +1,101 @@
+### A Pluto.jl notebook ###
+# v1.0.1
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 246053ac-6082-11f1-bed7-11580218e966
+begin
+    import Pkg
+    Pkg.activate(@__DIR__)
+    Pkg.develop(; path = dirname(@__DIR__))
+    Pkg.instantiate()
+    using TransitionMatrices, Plots
+end
+
+# ╔═╡ 2460532a-6082-11f1-83c5-3796c2e835e2
+md"""
+# Solver landscape & convergence
+
+The same T-matrix can be built several ways. The two-layer API selects them with
+a solver object passed to `transition_matrix(s, λ, solver)`:
+
+- a **fixed** solver — `EBCM(nₘₐₓ, Ng)`, `IITM(nₘₐₓ, Nr, Nϑ)` — one build;
+- an **iterative** solver — `Iterative(EBCM; …)` — sweeps to convergence;
+
+plus the `stable = true` option that removes the high-aspect EBCM cancellation.
+This notebook shows *why* it matters: on a high-aspect spheroid, classic EBCM
+converges briefly and then **diverges** as `nₘₐₓ` grows, while the stabilized
+path stays converged.
+"""
+
+# ╔═╡ 246053b6-6082-11f1-a95d-e7ab43aaff16
+md"""
+## A high-aspect prolate spheroid (aspect ≈ 4)
+
+Three routes to the same cross section:
+"""
+
+# ╔═╡ 246053c2-6082-11f1-9425-cd50e8e63bdd
+begin
+    λ = 2π
+    prolate = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)
+
+    routes = [
+        (; route = "EBCM fixed (n=24)", Csca = calc_Csca(transition_matrix(prolate, λ, EBCM(24, 384)), λ)),
+        (; route = "Iterative(EBCM; stable)", Csca = calc_Csca(transition_matrix(prolate, λ, Iterative(EBCM; stable = true)), λ)),
+        (; route = "IITM", Csca = calc_Csca(transition_matrix(prolate, λ, IITM(24, 30, 60)), λ)),
+    ]
+end
+
+# ╔═╡ 246053ca-6082-11f1-ba56-6f4f921058ef
+md"""
+## Convergence vs truncation order
+
+Relative error of ``Q_\text{sca}`` against a high-order stabilized reference, for
+classic EBCM vs the `stable = true` EBCM. Watch the classic curve blow up.
+"""
+
+# ╔═╡ 246053d4-6082-11f1-b47b-0143b9abc039
+begin
+    ref = calc_Csca(transition_matrix(prolate, λ, EBCM(40, 600; stable = true)), λ)
+    ns = 16:2:40
+    classic_err = [abs(calc_Csca(transition_matrix(prolate, λ, EBCM(n, 16n)), λ) - ref) / ref for n in ns]
+    stable_err = [abs(calc_Csca(transition_matrix(prolate, λ, EBCM(n, 16n; stable = true)), λ) - ref) / ref for n in ns]
+    nothing
+end
+
+# ╔═╡ 246053de-6082-11f1-a6ce-e998a04e4ad7
+let
+    plot(collect(ns), classic_err; yscale = :log10, lw = 2, marker = :circle,
+        label = "classic EBCM", legend = :left)
+    plot!(collect(ns), stable_err; lw = 2, marker = :square, label = "stable EBCM")
+    plot!(xlabel = "truncation order nₘₐₓ", ylabel = "relative error in Qsca",
+        title = "high-aspect spheroid: classic EBCM diverges, stable holds",
+        size = (720, 420))
+end
+
+# ╔═╡ 246053fc-6082-11f1-9730-eb288864dde4
+md"""
+## Choosing a solver
+
+| situation | solver |
+|---|---|
+| axisymmetric, moderate aspect | `calc_T(s, λ)` (auto-converged classic EBCM) |
+| high-aspect **spheroid** | `Iterative(EBCM; stable = true)` |
+| cylinder / Chebyshev / 3-D, hard cases | `IITM(nₘₐₓ, Nr, Nϑ[, Nφ])` |
+| wavelength / index **sweep** | `ShMatrix` / `prepare_sh` |
+| explicit discretization (benchmarking) | `EBCM(nₘₐₓ, Ng)`, `IITM(…)` |
+
+The iterative layer (`Iterative`) wraps any of these with automatic convergence.
+"""
+
+# ╔═╡ Cell order:
+# ╟─2460532a-6082-11f1-83c5-3796c2e835e2
+# ╠═246053ac-6082-11f1-bed7-11580218e966
+# ╟─246053b6-6082-11f1-a95d-e7ab43aaff16
+# ╠═246053c2-6082-11f1-9425-cd50e8e63bdd
+# ╟─246053ca-6082-11f1-ba56-6f4f921058ef
+# ╠═246053d4-6082-11f1-b47b-0143b9abc039
+# ╠═246053de-6082-11f1-a6ce-e998a04e4ad7
+# ╟─246053fc-6082-11f1-9730-eb288864dde4
diff --git a/examples/spectral_sensitivity.jl b/examples/spectral_sensitivity.jl
new file mode 100644
index 0000000..2bd8d28
--- /dev/null
+++ b/examples/spectral_sensitivity.jl
@@ -0,0 +1,157 @@
+### A Pluto.jl notebook ###
+# v1.0.1
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 162c8ff8-6080-11f1-af6b-f5508490c007
+begin
+    import Pkg
+    Pkg.activate(@__DIR__)                 # the examples/ environment
+    Pkg.develop(; path = dirname(@__DIR__)) # point TransitionMatrices at this repo
+    Pkg.instantiate()
+    using TransitionMatrices, ForwardDiff, Plots, BenchmarkTools
+end
+
+# ╔═╡ 162c8f8c-6080-11f1-ba76-6fd14a8cf585
+md"""
+# Spectral sensitivity with the Sh-matrix method
+
+Fast, **exact** wavelength / refractive-index sensitivities for an axisymmetric
+scatterer, built on the Sh-matrix moment-separation backend of
+`TransitionMatrices.jl`.
+
+The Sh-matrix method factors every EBCM surface integral as
+
+```math
+\int = \sum_{\text{terms}} \big[\,\text{coefficient}(k, m_r)\,\big] \times \big[\,\text{shape-only moment}\,\big],
+```
+
+where the **shape moments depend only on the geometry** — not on the wavelength
+``\lambda`` or the refractive index ``m_r``. `prepare_sh` computes the moments
+*once*; each `transition_matrix(prep, λ, mᵣ)` is then a cheap coefficient×moment
+sum. Because that reconstruction is a plain differentiable function of
+``(\lambda, m_r)`` with the moments riding through as constants, `ForwardDiff`
+straight through it gives exact ``\partial T/\partial\lambda`` and
+``\partial T/\partial m_r`` — at a fraction of the cost of differentiating the
+full from-scratch assembly.
+"""
+
+# ╔═╡ 162c900e-6080-11f1-8b5d-bfd5a06ead20
+md"""
+## 1. Define the scatterer and prepare the moments
+
+A prolate spheroid (semi-axes `a = 2`, `c = 1`) with a fixed small absorption
+`mᵢ = 0.02`. `prepare_sh` runs the geometry quadrature **once** — every spectral
+point below reuses it.
+"""
+
+# ╔═╡ 162c9018-6080-11f1-b436-23097d1541c2
+begin
+    nmax, Ng = 10, 200
+    mᵢ = 0.02
+    spheroid = TransitionMatrices.Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + mᵢ * im)
+    prep = prepare_sh(spheroid, nmax, Ng)
+end
+
+# ╔═╡ 162c9022-6080-11f1-bb17-05963c0ec94f
+md"""
+## 2. Spectrum and sensitivities
+
+Sweep the wavelength across a band; at each point reconstruct the T-matrix and
+read off the scattering / extinction cross sections. The sensitivities
+``\partial C_\text{sca}/\partial\lambda`` and ``\partial C_\text{sca}/\partial m_r``
+come from `ForwardDiff` applied to the **reconstruction only** — the moments in
+`prep` are constants.
+"""
+
+# ╔═╡ 162c9040-6080-11f1-b8d1-031603b7cffa
+begin
+    mᵣ = 1.5
+    λs = collect(range(2π / 1.6, 2π / 0.6; length = 60))
+
+    Csca(λ, m) = calc_Csca(transition_matrix(prep, λ, complex(m, mᵢ)), λ)
+    Cext(λ, m) = calc_Cext(transition_matrix(prep, λ, complex(m, mᵢ)), λ)
+
+    csca = [Csca(λ, mᵣ) for λ in λs]
+    cext = [Cext(λ, mᵣ) for λ in λs]
+
+    ∂Csca_∂λ = [ForwardDiff.derivative(l -> Csca(l, mᵣ), λ) for λ in λs]
+    ∂Csca_∂mᵣ = [ForwardDiff.derivative(m -> Csca(λ, m), mᵣ) for λ in λs]
+    nothing
+end
+
+# ╔═╡ 162c904a-6080-11f1-8f00-37f3c3cde468
+md"""
+## 3. The spectra and their sensitivities
+"""
+
+# ╔═╡ 162c9054-6080-11f1-99a7-5b1abfb33ebb
+let
+    p1 = plot(λs, [csca cext]; label = ["Csca" "Cext"], lw = 2,
+        ylabel = "cross section", legend = :topright)
+    p2 = plot(λs, ∂Csca_∂λ; label = "∂Csca/∂λ", lw = 2, color = 3, ylabel = "∂/∂λ")
+    p3 = plot(λs, ∂Csca_∂mᵣ; label = "∂Csca/∂mᵣ", lw = 2, color = 4,
+        xlabel = "wavelength λ", ylabel = "∂/∂mᵣ")
+    plot(p1, p2, p3; layout = (3, 1), size = (720, 660),
+        title = ["spheroid a=2, c=1, m=1.5+0.02im" "" ""])
+end
+
+# ╔═╡ 162c905e-6080-11f1-92ea-571ed46028d5
+md"""
+## 4. Why it is cheap — and how much
+
+Differentiating the **reconstruction** reuses the single `prepare_sh` for the
+whole spectrum; differentiating the **classic from-scratch assembly** re-runs the
+full quadrature and Bessel recursions (in dual numbers) at every wavelength.
+"""
+
+# ╔═╡ 162c906a-6080-11f1-a118-e37de9a387e2
+begin
+    function Csca_classic(λ, m)
+        T = promote_type(typeof(λ), typeof(m))
+        s = TransitionMatrices.Spheroid{T, Complex{T}}(T(2.0), T(1.0), Complex{T}(m, mᵢ))
+        calc_Csca(transition_matrix(s, λ, EBCM(nmax, Ng)), λ)
+    end
+
+    f_sh(λ) = ForwardDiff.derivative(l -> Csca(l, mᵣ), λ)
+    f_classic(λ) = ForwardDiff.derivative(l -> Csca_classic(l, mᵣ), λ)
+    f_sh(λs[1]); f_classic(λs[1])   # warm up
+
+    t_prepare = @belapsed prepare_sh($spheroid, $nmax, $Ng) samples=1 evals=1
+    t_sh = @belapsed [f_sh(λ) for λ in $λs] samples=1 evals=1
+    t_classic = @belapsed [f_classic(λ) for λ in $λs] samples=1 evals=1
+
+    (; n_points = length(λs),
+        sh_ms = round((t_prepare + t_sh) * 1e3; digits = 1),
+        classic_ms = round(t_classic * 1e3; digits = 1),
+        speedup = round(t_classic / (t_prepare + t_sh); digits = 1))
+end
+
+# ╔═╡ 162c9072-6080-11f1-983e-97897cdba9f0
+md"""
+## Takeaway
+
+`prepare_sh` once, then `ForwardDiff` the reconstruction, gives exact
+``\partial C/\partial\lambda`` and ``\partial C/\partial m_r`` (matching the
+classic result to machine precision) at a large speedup for spectra — the win
+grows with the number of wavelengths because the geometry quadrature is
+amortized.
+
+Ideal for **material/wavelength sensitivity** (retrievals, dispersion fitting).
+Shape-parameter derivatives act on the moments themselves and are better served
+by the dedicated analytical EBCM linearization backend.
+"""
+
+# ╔═╡ Cell order:
+# ╟─162c8f8c-6080-11f1-ba76-6fd14a8cf585
+# ╠═162c8ff8-6080-11f1-af6b-f5508490c007
+# ╟─162c900e-6080-11f1-8b5d-bfd5a06ead20
+# ╠═162c9018-6080-11f1-b436-23097d1541c2
+# ╟─162c9022-6080-11f1-bb17-05963c0ec94f
+# ╠═162c9040-6080-11f1-b8d1-031603b7cffa
+# ╟─162c904a-6080-11f1-8f00-37f3c3cde468
+# ╠═162c9054-6080-11f1-99a7-5b1abfb33ebb
+# ╟─162c905e-6080-11f1-92ea-571ed46028d5
+# ╠═162c906a-6080-11f1-a118-e37de9a387e2
+# ╟─162c9072-6080-11f1-983e-97897cdba9f0
diff --git a/justfile b/justfile
index bfe51e4..078a4a0 100644
--- a/justfile
+++ b/justfile
@@ -17,11 +17,22 @@ alias t := test
 test-coverage:
     julia --project=. -e 'using Pkg; Pkg.test(; coverage=true)'
 
+[group("benchmark")]
+bench *args:
+    julia --project=benchmark -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'
+    julia --project=benchmark benchmark/runbenchmarks.jl {{args}}
+alias b := bench
+
 [group("docs")]
 docs:
     julia --project=docs -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate(); ENV["DOCUMENTER_SKIP_DEPLOY"]="true"; include("docs/make.jl")'
 alias d := docs
 
+# Re-render example notebooks + rebuild docs (commit docs/src/examples/*.md after)
+[group("docs")]
+docs-examples:
+    julia --project=docs -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate(); ENV["BUILD_EXAMPLES"]="true"; ENV["DOCUMENTER_SKIP_DEPLOY"]="true"; include("docs/make.jl")'
+
 [group("docs")]
 doctest:
     julia --project=docs -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate(); using Documenter: DocMeta, doctest; using TransitionMatrices; DocMeta.setdocmeta!(TransitionMatrices, :DocTestSetup, :(using TransitionMatrices); recursive=true); doctest(TransitionMatrices)'
diff --git a/packages/EBCMPrecisionLossEstimators/src/EBCMPrecisionLossEstimators.jl b/packages/EBCMPrecisionLossEstimators/src/EBCMPrecisionLossEstimators.jl
index 77ea2c5..724f35d 100644
--- a/packages/EBCMPrecisionLossEstimators/src/EBCMPrecisionLossEstimators.jl
+++ b/packages/EBCMPrecisionLossEstimators/src/EBCMPrecisionLossEstimators.jl
@@ -10,22 +10,22 @@ for shape in [Spheroid, Cylinder]
     @eval function estimate_integral_loss(s::$shape, nₘₐₓ)
         mach = machine(joinpath(@__DIR__, "..", "fixtures", "$(string($shape)).Q.model"))
         predict(mach,
-                [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
-                  mi = imag(s.m))])[1]
+            [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
+                mi = imag(s.m))])[1]
     end
 
     @eval function estimate_inverse_loss(s::$shape, nₘₐₓ)
         mach = machine(joinpath(@__DIR__, "..", "fixtures", "$(string($shape)).T.model"))
         predict(mach,
-                [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
-                  mi = imag(s.m))])[1]
+            [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
+                mi = imag(s.m))])[1]
     end
 
     @eval function estimate_total_loss(s::$shape, nₘₐₓ)
         mach = machine(joinpath(@__DIR__, "..", "fixtures", "$(string($shape)).AT.model"))
         predict(mach,
-                [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
-                  mi = imag(s.m))])[1]
+            [(rmax = rmax(s), rmin = rmin(s), nmax = nₘₐₓ, mr = real(s.m),
+                mi = imag(s.m))])[1]
     end
 end
 
diff --git a/src/EBCM/axisymmetric.jl b/src/EBCM/axisymmetric.jl
index 8d7d514..103ff42 100644
--- a/src/EBCM/axisymmetric.jl
+++ b/src/EBCM/axisymmetric.jl
@@ -19,8 +19,8 @@ Parameters:
 
 """
 function amplitude_matrix(axi::AxisymmetricTransitionMatrix{CT, N, V, T}, ϑᵢ, φᵢ, ϑₛ, φₛ;
-                          λ = 2π,
-                          rot::Union{Nothing, Rotation{3}} = nothing) where {CT, N, V, T}
+        λ = 2π,
+        rot::Union{Nothing, Rotation{3}} = nothing) where {CT, N, V, T}
     k₁ = 2π / λ
     if isnothing(rot)
         α, β = zero(T), zero(T)
@@ -113,6 +113,7 @@ function amplitude_matrix(axi::AxisymmetricTransitionMatrix{CT, N, V, T}, ϑᵢ,
         sinmφ = sin(m * φ)
 
         for n′ in 1:nₘ, n in 1:nₘ
+
             T₁₁ = axi.𝐓[m + 1][n, n′]
             T₂₂ = axi.𝐓[m + 1][n + nₘ, n′ + nₘ]
             if m == 0
@@ -150,7 +151,7 @@ end
 
     @testset "Spheroid" begin
         params = Iterators.product((0.5, 1.0, 5.0), (1.0,), (1.311, 1.5 + 0.01im),
-                                   (0.0, 0.5), (0.0, 0.5))
+            (0.0, 0.5), (0.0, 0.5))
 
         @testset "a = $a, c = $c, m = $m, α = $α, β = $β" for (a, c, m, α, β) in params
             s = Spheroid{Float64, ComplexF64}(a, c, m)
@@ -167,10 +168,10 @@ end
 
 @doc raw"""
 ```
-transition_matrix(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng) where {T, CT}
+transition_matrix(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng; stable = false) where {T, CT}
 ```
 
-Calculate the T-Matrix for a given scatterer and wavelengthg`.
+Calculate the T-Matrix for a given scatterer and wavelength.
 
 Parameters:
 
@@ -178,32 +179,70 @@ Parameters:
 - `λ`: the wavelength.
 - `nₘₐₓ`: the maximum order of the T-Matrix.
 - `Ng`: the number of Gauss-Legendre quadrature points to be used.
+- `stable`: when `true`, assemble the `𝐔`-matrix integrals with the
+  cancellation-free `F⁺` formulation of Somerville, Auguié & Le Ru, JQSRT 123
+  (2013). The standard integrands lose all precision for spheroids of high aspect
+  ratio (the irregular `χ_n·ψ_k` products develop huge Laurent terms that should
+  cancel on integration but do not numerically); `stable=true` removes that
+  cancellation, recovering a relative accuracy of about `1e-9` in `Float64`
+  regardless of aspect ratio. It is **only valid for `Spheroid`** (the
+  cancellation relies on the spheroid surface) and costs roughly 2–3× the default
+  assembly, so it is opt-in. For it to help, `nₘₐₓ` must be large enough that
+  `nₘₐₓ+1 ≳ k·c + 15`, where `c` is the largest semi-axis — comparable to the
+  order needed for convergence at that size anyway. The remaining `Float64`
+  round-off (in particular a `~1e-9` floor as the refractive index `s → 1`) is
+  orthogonal to the cancellation and is lowered by using an extended-precision
+  element type: `stable=true` with `Double64` reaches `~1e-25` at high aspect
+  ratio.
 
 Returns:
 
 - `𝐓`: an `AxisymmetricTransitionMatrix` struct representing the T-Matrix.
 """
 function transition_matrix(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng;
-                           zerofn = () -> zero(CT)) where {T, CT}
+        zerofn = () -> zero(CT), stable = false) where {T, CT}
+    stable && !(s isa Spheroid) &&
+        throw(ArgumentError("stable=true is only valid for spheroids: the \
+              cancellation-free F⁺ integrands rely on the spheroid surface making \
+              the divergent Laurent terms integrate to zero (Somerville et al. 2013)."))
     𝐓 = Vector{Matrix{CT}}(undef, nₘₐₓ + 1)
-    𝐓[1], cache = transition_matrix_m₀(s, λ, nₘₐₓ, Ng; zerofn = zerofn, reuse = true)
+    𝐓[1],
+    cache = transition_matrix_m₀(s, λ, nₘₐₓ, Ng; zerofn = zerofn, reuse = true,
+        stable = stable)
     for m in 1:nₘₐₓ
-        𝐓[m + 1] = transition_matrix_m(m, s, λ, nₘₐₓ, Ng; zerofn = zerofn, cache = cache)
+        𝐓[m + 1] = transition_matrix_m(m, s, λ, nₘₐₓ, Ng; zerofn = zerofn, cache = cache,
+            stable = stable)
     end
 
     AxisymmetricTransitionMatrix{CT, nₘₐₓ, typeof(𝐓), T}(𝐓)
 end
 
+# Factor 𝐐 once so the factorization can be reused for the value block and
+# every Jacobian slice (𝐐 depends only on 𝐏 and 𝐔, not on the differentiated
+# parameter). Arblib matrices have no generic `lu`/`\`, so fall back to their
+# dedicated `inv` and right-multiply. The `_ebcm_rdiv` methods dispatch on
+# whether the second argument is an explicit inverse (a `Matrix`) or an `lu`
+# factorization (which is not an `AbstractMatrix`).
+_ebcm_factor(𝐐::AbstractMatrix{<:Union{Arb, Acb}}) = inv(𝐐)
+_ebcm_factor(𝐐::AbstractMatrix) = lu(𝐐)
+
+_ebcm_rdiv(𝐀, 𝐐⁻¹::AbstractMatrix) = 𝐀 * 𝐐⁻¹
+_ebcm_rdiv(𝐀, F) = 𝐀 / F
+
 function 𝐓_from_𝐏_and_𝐔(𝐏, 𝐔)
     𝐐 = @. 𝐏 + 1im * 𝐔
-    𝐓 = -𝐏 * inv(𝐐)
+    # 𝐓 = -𝐏 𝐐⁻¹, via a factorization instead of an explicit inverse.
+    return -_ebcm_rdiv(𝐏, _ebcm_factor(𝐐))
 end
 
 function ∂𝐓_from_𝐏_and_𝐔(𝐏, 𝐔, ∂𝐏, ∂𝐔)
     𝐐 = @. 𝐏 + 1im * 𝐔
     ∂𝐐 = @. ∂𝐏 + 1im * ∂𝐔
-    𝐐⁻¹ = inv(𝐐)
-    -∂𝐏 * 𝐐⁻¹ + 𝐏 * 𝐐⁻¹ * ∂𝐐 * 𝐐⁻¹
+    F = _ebcm_factor(𝐐)
+    𝐓 = -_ebcm_rdiv(𝐏, F)
+    # ∂𝐓 = -∂𝐏 𝐐⁻¹ + 𝐏 𝐐⁻¹ ∂𝐐 𝐐⁻¹ = -(∂𝐏 + 𝐓 ∂𝐐) 𝐐⁻¹  (since 𝐏 𝐐⁻¹ = -𝐓),
+    # reusing the single factorization `F` and the already-computed `𝐓`.
+    return -_ebcm_rdiv(∂𝐏 + 𝐓 * ∂𝐐, F)
 end
 
 function _axisymmetric_transition_matrix_from_blocks(𝐓s::AbstractVector)
@@ -221,9 +260,9 @@ function ebcm_transition_matrix_from_matrices(𝐏s::AbstractVector, 𝐔s::Abst
 end
 
 function ∂ebcm_transition_matrix_from_matrices(𝐏s::AbstractVector,
-                                              𝐔s::AbstractVector,
-                                              ∂𝐏s::AbstractVector,
-                                              ∂𝐔s::AbstractVector)
+        𝐔s::AbstractVector,
+        ∂𝐏s::AbstractVector,
+        ∂𝐔s::AbstractVector)
     length(𝐏s) == length(𝐔s) == length(∂𝐏s) == length(∂𝐔s) ||
         throw(ArgumentError("EBCM P, U, ∂P, and ∂U block counts must match"))
     ∂𝐓s = [∂𝐓_from_𝐏_and_𝐔(𝐏, 𝐔, ∂𝐏, ∂𝐔)
@@ -239,7 +278,8 @@ ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng) wher
 Calculate the `P` and `U` matrices for the `m=0` EBCM block.
 """
 function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
-                          Ng; zerofn = () -> zero(CT), reuse = false) where {T, CT}
+        Ng; zerofn = () -> zero(CT), reuse = false,
+        stable = false) where {T, CT}
     @assert iseven(Ng) "Ng must be even!"
 
     k = 2 * T(π) / λ
@@ -275,7 +315,7 @@ function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
     Threads.@threads for i in 1:ng
         kₛr = k * s.m * r[i]
         ricattibesselj!(view(ψₛ, i, :), view(ψₛ′, i, :), view(zₛ, :, i), nₘₐₓ, nₑₓₜᵣₐ,
-                        kₛr)
+            kₛr)
         ricattibessely!(view(χₛ, i, :), view(χₛ′, i, :), nₘₐₓ, kₛr)
     end
 
@@ -285,7 +325,7 @@ function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
 
     Threads.@threads for i in eachindex(ϑ)
         wigner_d_recursion!(view(d, i, :), 0, 0, nₘₐₓ, ϑ[i];
-                            deriv = view(τ, i, :))
+            deriv = view(τ, i, :))
 
         for n in 0:nₘₐₓ
             𝜋[i, n] = pi_func(T, 0, n, ϑ[i]; d = d[i, n])
@@ -299,6 +339,19 @@ function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
     𝐔₁₁ = view(𝐔, 1:nₘₐₓ, 1:nₘₐₓ)
     𝐔₂₂ = view(𝐔, (nₘₐₓ + 1):(2nₘₐₓ), (nₘₐₓ + 1):(2nₘₐₓ))
 
+    # For spheroids the off-diagonal `𝐔` integrands lose all precision at high
+    # aspect ratio (the χ_n·ψ_k products have huge cancelling negative powers).
+    # When `stable`, replace those products by the cancellation-free `F⁺` matrix
+    # (Somerville et al. 2013); the diagonal (n=n′) has no cancellation and `𝐏`
+    # is regular, so both keep the standard direct products. The x-independent
+    # last-row series coefficients are computed once and shared across all points.
+    Fmats = if stable
+        lastrow = _F⁺_lastrow(s.m, nₘₐₓ, k * rₘₐₓ)
+        [_F⁺_matrix(s.m, k * r[i], nₘₐₓ; lastrow) for i in 1:ng]
+    else
+        nothing
+    end
+
     Threads.@threads for (n, n′) in collect(Iterators.product(1:nₘₐₓ, 1:nₘₐₓ))
         if sym && isodd(n + n′)
             continue
@@ -325,14 +378,24 @@ function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
                        (ψ′[i, n] * ψₛ′[i, n′] +
                         a[n′] * ψ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
 
-                UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χ[i, n] * ψₛ[i, n′]
-                UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χ[i, n] * ψₛ[i, n′]
-                UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] *
-                       (χ′[i, n] * ψₛ′[i, n′] +
-                        a[n] * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
-                UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] *
-                       (χ′[i, n] * ψₛ′[i, n′] +
-                        a[n′] * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                if stable
+                    F = Fmats[i]
+                    xi = k * r[i]
+                    χψ = _Fp(F, n, n′) / xi
+                    UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χψ
+                    UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χψ
+                    UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * (_L⁷⁺_mat(F, n, n′) / xi)
+                    UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * (_L⁸⁺_mat(F, n, n′) / xi)
+                else
+                    UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χ[i, n] * ψₛ[i, n′]
+                    UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χ[i, n] * ψₛ[i, n′]
+                    UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] *
+                           (χ′[i, n] * ψₛ′[i, n′] +
+                            a[n] * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                    UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] *
+                           (χ′[i, n] * ψₛ′[i, n′] +
+                            a[n′] * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                end
             end
 
             𝐏₁₁[n, n′] = 1im * A[n] * A[n′] * (s.m^2 - 1) / (s.m * (a[n] - a[n′])) *
@@ -377,7 +440,9 @@ function ebcm_matrices_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
     end
 
     if reuse
-        cache = x, w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, χₛ, χₛ′
+        # `Fmats` (the per-quadrature-point F⁺ matrices) depend only on s.m, k and
+        # r[i] — not on m — so they are computed once here and reused for all m>0.
+        cache = x, w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, χₛ, χₛ′, Fmats
         return 𝐏, 𝐔, cache
     end
 
@@ -392,13 +457,14 @@ transition_matrix_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng)
 Calculate the `m=0` block of the T-Matrix for a given axisymmetric scatterer.
 """
 function transition_matrix_m₀(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
-                              Ng; zerofn = () -> zero(CT), reuse = false) where {T, CT}
+        Ng; zerofn = () -> zero(CT), reuse = false,
+        stable = false) where {T, CT}
     if reuse
-        𝐏, 𝐔, cache = ebcm_matrices_m₀(s, λ, nₘₐₓ, Ng; zerofn, reuse)
+        𝐏, 𝐔, cache = ebcm_matrices_m₀(s, λ, nₘₐₓ, Ng; zerofn, reuse, stable)
         return 𝐓_from_𝐏_and_𝐔(𝐏, 𝐔), cache
     end
 
-    𝐏, 𝐔 = ebcm_matrices_m₀(s, λ, nₘₐₓ, Ng; zerofn, reuse)
+    𝐏, 𝐔 = ebcm_matrices_m₀(s, λ, nₘₐₓ, Ng; zerofn, reuse, stable)
     return 𝐓_from_𝐏_and_𝐔(𝐏, 𝐔)
 end
 
@@ -410,7 +476,8 @@ ebcm_matrices_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng) wher
 Calculate the `P` and `U` matrices for the `m`-th EBCM block.
 """
 function ebcm_matrices_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
-                         Ng; zerofn = () -> zero(CT), cache = nothing) where {T, CT}
+        Ng; zerofn = () -> zero(CT), cache = nothing,
+        stable = false) where {T, CT}
     @assert iseven(Ng) "Ng must be even!"
 
     k = 2 * T(π) / λ
@@ -420,9 +487,9 @@ function ebcm_matrices_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
     ng = sym ? Ng ÷ 2 : Ng
 
     if !isnothing(cache)
-        _, w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, _, _ = cache
+        _, w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, _, _, Fmats = cache
         return _transition_matrix_m_core(m, s, k, nₘₐₓ, Ng, nₘᵢₙ, nn, ng, sym, zerofn,
-                                         w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′)
+            w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, Fmats)
     else
         x, w, r, r′ = gaussquad(s, Ng)
         ϑ = acos.(x)
@@ -451,24 +518,32 @@ function ebcm_matrices_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
         Threads.@threads for i in 1:ng
             kₛr = k * s.m * r[i]
             ricattibesselj!(view(ψₛ, i, :), view(ψₛ′, i, :), view(zₛ, :, i), nₘₐₓ, nₑₓₜᵣₐ,
-                            kₛr)
+                kₛr)
+        end
+
+        Fmats = if stable
+            lastrow = _F⁺_lastrow(s.m, nₘₐₓ, k * rₘₐₓ)
+            [_F⁺_matrix(s.m, k * r[i], nₘₐₓ; lastrow) for i in 1:ng]
+        else
+            nothing
         end
 
         return _transition_matrix_m_core(m, s, k, nₘₐₓ, Ng, nₘᵢₙ, nn, ng, sym, zerofn,
-                                         w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′)
+            w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′, Fmats)
     end
 end
 
 function _transition_matrix_m_core(m, s::AbstractAxisymmetricShape{T, CT}, k, nₘₐₓ, Ng,
-                                   nₘᵢₙ, nn, ng, sym, zerofn, w, r, r′, ϑ, a, A, ψ,
-                                   ψ′, χ, χ′, ψₛ, ψₛ′) where {T, CT}
+        nₘᵢₙ, nn, ng, sym, zerofn, w, r, r′, ϑ, a, A, ψ,
+        ψ′, χ, χ′, ψₛ, ψₛ′, Fmats = nothing) where {T, CT}
+    stable = Fmats !== nothing
     d = OffsetArray(zeros(T, Ng, nₘₐₓ - m + 1), 1:Ng, m:nₘₐₓ)
     𝜋 = similar(d)
     τ = similar(d)
 
     Threads.@threads for i in eachindex(ϑ)
         wigner_d_recursion!(view(d, i, :), 0, m, nₘₐₓ, ϑ[i];
-                            deriv = view(τ, i, :))
+            deriv = view(τ, i, :))
 
         for n in nₘᵢₙ:nₘₐₓ
             𝜋[i, n] = pi_func(T, m, n, ϑ[i]; d = d[i, n])
@@ -499,8 +574,20 @@ function _transition_matrix_m_core(m, s::AbstractAxisymmetricShape{T, CT}, k, n
                 PK₁ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * ψ[i, n] * ψₛ′[i, n′]
                 PK₂ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * ψ′[i, n] * ψₛ[i, n′]
 
-                UK₁ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * χ[i, n] * ψₛ′[i, n′]
-                UK₂ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * χ′[i, n] * ψₛ[i, n′]
+                if stable
+                    F = Fmats[i]
+                    xi = k * r[i]
+                    # Cancellation-free K¹/K² integrands (Somerville, Auguié & Le Ru,
+                    # JQSRT 123 (2013), Eqs. 53–54): K¹ ← [x·χ_n·ψ′_{n′}]⁺/x (their
+                    # Eq. 59), K² ← [x·χ′_n·ψ_{n′}]⁺/x (their Eq. 60).
+                    UK₁ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] *
+                           (_xχψ′⁺_mat(F, n, n′) / xi)
+                    UK₂ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] *
+                           (_xχ′ψ⁺_mat(F, n, n′) / xi)
+                else
+                    UK₁ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * χ[i, n] * ψₛ′[i, n′]
+                    UK₂ += w[i] * k * r′[i] * 𝜋[i, n] * d[i, n′] * χ′[i, n] * ψₛ[i, n′]
+                end
             end
 
             𝐏₁₂[n, n′] = A[n] * A[n′] * (s.m^2 - 1) / s.m * PK₁
@@ -532,14 +619,26 @@ function _transition_matrix_m_core(m, s::AbstractAxisymmetricShape{T, CT}, k, n
                            (ψ′[i, n] * ψₛ′[i, n′] +
                             n′ * (n′ + 1) * ψ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
 
-                    UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χ[i, n] * ψₛ[i, n′]
-                    UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χ[i, n] * ψₛ[i, n′]
-                    UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] *
-                           (χ′[i, n] * ψₛ′[i, n′] +
-                            n * (n + 1) * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
-                    UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] *
-                           (χ′[i, n] * ψₛ′[i, n′] +
-                            n′ * (n′ + 1) * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                    if stable
+                        F = Fmats[i]
+                        xi = k * r[i]
+                        χψ = _Fp(F, n, n′) / xi
+                        UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χψ
+                        UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χψ
+                        UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] *
+                               (_L⁷⁺_mat(F, n, n′) / xi)
+                        UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] *
+                               (_L⁸⁺_mat(F, n, n′) / xi)
+                    else
+                        UL₁ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] * χ[i, n] * ψₛ[i, n′]
+                        UL₂ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] * χ[i, n] * ψₛ[i, n′]
+                        UL₇ += w[i] * k * r′[i] * τ[i, n] * d[i, n′] *
+                               (χ′[i, n] * ψₛ′[i, n′] +
+                                n * (n + 1) * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                        UL₈ += w[i] * k * r′[i] * d[i, n] * τ[i, n′] *
+                               (χ′[i, n] * ψₛ′[i, n′] +
+                                n′ * (n′ + 1) * χ[i, n] * ψₛ[i, n′] / (s.m * (k * r[i])^2))
+                    end
                 end
 
                 𝐏₁₁[n, n′] = 1im * A[n] * A[n′] * (s.m^2 - 1) / (s.m * (a[n] - a[n′])) *
@@ -596,8 +695,9 @@ transition_matrix_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Ng)
 Calculate the `m`-th block of the T-Matrix for a given axisymmetric scatterer.
 """
 function transition_matrix_m(m, s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ,
-                             Ng; zerofn = () -> zero(CT), cache = nothing) where {T, CT}
-    𝐏, 𝐔 = ebcm_matrices_m(m, s, λ, nₘₐₓ, Ng; zerofn, cache)
+        Ng; zerofn = () -> zero(CT), cache = nothing,
+        stable = false) where {T, CT}
+    𝐏, 𝐔 = ebcm_matrices_m(m, s, λ, nₘₐₓ, Ng; zerofn, cache, stable)
     return 𝐓_from_𝐏_and_𝐔(𝐏, 𝐔)
 end
 
@@ -632,7 +732,7 @@ end
 
     @testset "Chebyshev" begin
         params = Iterators.product((0.5, 1.0, 5.0), (-0.5, 0.1, 0.9), (2, 3, 8),
-                                   (1.311, 1.5 + 0.01im))
+            (1.311, 1.5 + 0.01im))
         nₘₐₓ = 10
         Ng = 200
         λ = 2π
diff --git a/src/EBCM/index.jl b/src/EBCM/index.jl
index d7bbb78..2fc6449 100644
--- a/src/EBCM/index.jl
+++ b/src/EBCM/index.jl
@@ -1,3 +1,5 @@
 include("axisymmetric.jl")
+include("stabilization.jl")
+include("shmatrix.jl")
 include("routines.jl")
 include("linearization.jl")
diff --git a/src/EBCM/linearization.jl b/src/EBCM/linearization.jl
index 86d6a9b..4a22d03 100644
--- a/src/EBCM/linearization.jl
+++ b/src/EBCM/linearization.jl
@@ -34,16 +34,16 @@ function _ebcm_linearization_shape(shape::Cylinder, λ)
 end
 
 function _ebcm_linearization_input(problem::LinearizationProblem, config,
-                                   x = problem.x)
+        x = problem.x)
     rebuilt = rebuild(problem, x)
     shape = _linearization_property(config, :shape;
-                                    default = _linearization_property(rebuilt, :shape))
+        default = _linearization_property(rebuilt, :shape))
     λ = _linearization_property(config, :λ;
-                                default = _linearization_property(rebuilt, :λ))
+        default = _linearization_property(rebuilt, :λ))
     nₘₐₓ = _linearization_property(config, :nₘₐₓ;
-                                   default = _linearization_property(rebuilt, :nₘₐₓ))
+        default = _linearization_property(rebuilt, :nₘₐₓ))
     Ng = _linearization_property(config, :Ng;
-                                 default = _linearization_property(rebuilt, :Ng))
+        default = _linearization_property(rebuilt, :Ng))
 
     if isnothing(shape) || isnothing(λ) || isnothing(nₘₐₓ) || isnothing(Ng)
         return nothing
@@ -54,8 +54,9 @@ function _ebcm_linearization_input(problem::LinearizationProblem, config,
 end
 
 function _ebcm_matrices(input)
-    𝐏₀, 𝐔₀, cache = ebcm_matrices_m₀(input.shape, input.λ, input.nₘₐₓ, input.Ng;
-                                      reuse = true)
+    𝐏₀, 𝐔₀,
+    cache = ebcm_matrices_m₀(input.shape, input.λ, input.nₘₐₓ, input.Ng;
+        reuse = true)
     CT = eltype(𝐏₀)
     𝐏s = Vector{Matrix{CT}}(undef, input.nₘₐₓ + 1)
     𝐔s = Vector{Matrix{CT}}(undef, input.nₘₐₓ + 1)
@@ -63,9 +64,10 @@ function _ebcm_matrices(input)
     𝐔s[1] = 𝐔₀
 
     for m in 1:input.nₘₐₓ
-        𝐏s[m + 1], 𝐔s[m + 1] = ebcm_matrices_m(m, input.shape, input.λ,
-                                                 input.nₘₐₓ, input.Ng;
-                                                 cache)
+        𝐏s[m + 1],
+        𝐔s[m + 1] = ebcm_matrices_m(m, input.shape, input.λ,
+            input.nₘₐₓ, input.Ng;
+            cache)
     end
 
     return 𝐏s, 𝐔s
@@ -78,40 +80,38 @@ end
 
 _ebcm_linearized(value, derivative) = _EBCMLinearizedScalar(value, derivative)
 _ebcm_linearized_zero(::Type{T}) where {T} = _ebcm_linearized(zero(T), zero(T))
-_ebcm_linearized_entry(value, derivative, i, n) =
+function _ebcm_linearized_entry(value, derivative, i, n)
     _ebcm_linearized(value[i, n], derivative[i, n])
+end
 
-Base.:+(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar) =
+function Base.:+(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar)
     _ebcm_linearized(x.value + y.value, x.derivative + y.derivative)
-Base.:+(x::_EBCMLinearizedScalar, y) =
-    _ebcm_linearized(x.value + y, x.derivative)
-Base.:+(x, y::_EBCMLinearizedScalar) =
-    _ebcm_linearized(x + y.value, y.derivative)
-
-Base.:-(x::_EBCMLinearizedScalar) =
-    _ebcm_linearized(-x.value, -x.derivative)
-Base.:-(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar) =
+end
+Base.:+(x::_EBCMLinearizedScalar, y) = _ebcm_linearized(x.value + y, x.derivative)
+Base.:+(x, y::_EBCMLinearizedScalar) = _ebcm_linearized(x + y.value, y.derivative)
+
+Base.:-(x::_EBCMLinearizedScalar) = _ebcm_linearized(-x.value, -x.derivative)
+function Base.:-(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar)
     _ebcm_linearized(x.value - y.value, x.derivative - y.derivative)
-Base.:-(x::_EBCMLinearizedScalar, y) =
-    _ebcm_linearized(x.value - y, x.derivative)
-Base.:-(x, y::_EBCMLinearizedScalar) =
-    _ebcm_linearized(x - y.value, -y.derivative)
+end
+Base.:-(x::_EBCMLinearizedScalar, y) = _ebcm_linearized(x.value - y, x.derivative)
+Base.:-(x, y::_EBCMLinearizedScalar) = _ebcm_linearized(x - y.value, -y.derivative)
 
-Base.:*(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar) =
+function Base.:*(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar)
     _ebcm_linearized(x.value * y.value,
-                     x.derivative * y.value + x.value * y.derivative)
-Base.:*(x::_EBCMLinearizedScalar, y) =
-    _ebcm_linearized(x.value * y, x.derivative * y)
-Base.:*(x, y::_EBCMLinearizedScalar) =
-    _ebcm_linearized(x * y.value, x * y.derivative)
+        x.derivative * y.value + x.value * y.derivative)
+end
+Base.:*(x::_EBCMLinearizedScalar, y) = _ebcm_linearized(x.value * y, x.derivative * y)
+Base.:*(x, y::_EBCMLinearizedScalar) = _ebcm_linearized(x * y.value, x * y.derivative)
 
-Base.:/(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar) =
+function Base.:/(x::_EBCMLinearizedScalar, y::_EBCMLinearizedScalar)
     _ebcm_linearized(x.value / y.value,
-                     (x.derivative * y.value - x.value * y.derivative) / y.value^2)
-Base.:/(x::_EBCMLinearizedScalar, y) =
-    _ebcm_linearized(x.value / y, x.derivative / y)
-Base.:/(x, y::_EBCMLinearizedScalar) =
+        (x.derivative * y.value - x.value * y.derivative) / y.value^2)
+end
+Base.:/(x::_EBCMLinearizedScalar, y) = _ebcm_linearized(x.value / y, x.derivative / y)
+function Base.:/(x, y::_EBCMLinearizedScalar)
     _ebcm_linearized(x / y.value, -x * y.derivative / y.value^2)
+end
 
 function Base.:^(x::_EBCMLinearizedScalar, n::Integer)
     n == 0 && return _ebcm_linearized(one(x.value), zero(x.derivative))
@@ -233,11 +233,11 @@ function _ebcm_geometric_derivatives(c::Cylinder, x, w, r, r′, variable::Symbo
         if H / cosϑ < R / sinϑ
             ∂rᵢ = ∂H / cosϑ - H * ∂cosϑ / cosϑ^2
             ∂r′ᵣₐw = ∂H * sinϑ / cosϑ^2 +
-                      H * (∂sinϑ / cosϑ^2 - 2sinϑ * ∂cosϑ / cosϑ^3)
+                     H * (∂sinϑ / cosϑ^2 - 2sinϑ * ∂cosϑ / cosϑ^3)
         else
             ∂rᵢ = ∂R / sinϑ - R * ∂sinϑ / sinϑ^2
             ∂r′ᵣₐw = -∂R * cosϑ / sinϑ^2 - R * ∂cosϑ / sinϑ^2 +
-                      2R * cosϑ * ∂sinϑ / sinϑ^3
+                     2R * cosϑ * ∂sinϑ / sinϑ^3
         end
 
         ∂r[i] = ∂rᵢ
@@ -290,7 +290,7 @@ function _ebcm_ricatti_argument_derivatives!(∂f, ∂f′, f, f′, z, ∂z)
 end
 
 function _ebcm_wigner_tables(::Type{T}, m::Integer, nₘₐₓ::Integer, Ng::Integer,
-                             ϑ, nₘᵢₙ::Integer, ∂ϑ = nothing) where {T}
+        ϑ, nₘᵢₙ::Integer, ∂ϑ = nothing) where {T}
     d = OffsetArray(zeros(T, Ng, nₘₐₓ - m + 1), 1:Ng, m:nₘₐₓ)
     𝜋 = similar(d)
     τ = similar(d)
@@ -303,7 +303,7 @@ function _ebcm_wigner_tables(::Type{T}, m::Integer, nₘₐₓ::Integer, Ng::Int
 
     for i in eachindex(ϑ)
         wigner_d_recursion!(view(d, i, :), 0, m, nₘₐₓ, ϑ[i];
-                            deriv = view(τ, i, :))
+            deriv = view(τ, i, :))
 
         sinϑ = sin(ϑ[i])
         cosϑ = cos(ϑ[i])
@@ -315,7 +315,7 @@ function _ebcm_wigner_tables(::Type{T}, m::Integer, nₘₐₓ::Integer, Ng::Int
                  (n * (n + 1) - m^2 / sinϑ^2) * d[i, n]
             ∂τ[i, n] = d² * ∂ϑᵢ
             ∂𝜋[i, n] = m * (∂d[i, n] / sinϑ -
-                           d[i, n] * cosϑ * ∂ϑᵢ / sinϑ^2)
+                            d[i, n] * cosϑ * ∂ϑᵢ / sinϑ^2)
         end
     end
 
@@ -345,22 +345,22 @@ function _ebcm_directional_data(input, cache, variable::Symbol)
         ∂ksr = ∂m * k * r[i] + s.m * ∂k * r[i] + s.m * k * ∂r[i]
 
         _ebcm_ricatti_argument_derivatives!(view(∂ψ, i, :),
-                                            view(∂ψ′, i, :),
-                                            view(ψ, i, :),
-                                            view(ψ′, i, :), kr, ∂kr)
+            view(∂ψ′, i, :),
+            view(ψ, i, :),
+            view(ψ′, i, :), kr, ∂kr)
         _ebcm_ricatti_argument_derivatives!(view(∂χ, i, :),
-                                            view(∂χ′, i, :),
-                                            view(χ, i, :),
-                                            view(χ′, i, :), kr, ∂kr)
+            view(∂χ′, i, :),
+            view(χ, i, :),
+            view(χ′, i, :), kr, ∂kr)
         _ebcm_ricatti_argument_derivatives!(view(∂ψₛ, i, :),
-                                            view(∂ψₛ′, i, :),
-                                            view(ψₛ, i, :),
-                                            view(ψₛ′, i, :), ksr, ∂ksr)
+            view(∂ψₛ′, i, :),
+            view(ψₛ, i, :),
+            view(ψₛ′, i, :), ksr, ∂ksr)
     end
 
     return (; x, w, r, r′, ϑ, a, A, ψ, ψ′, χ, χ′, ψₛ, ψₛ′,
-            k, ∂k, ∂m, ∂r, ∂r′, ∂ψ, ∂ψ′,
-            ∂χ, ∂χ′, ∂ψₛ, ∂ψₛ′, ∂x, ∂w, ∂ϑ)
+        k, ∂k, ∂m, ∂r, ∂r′, ∂ψ, ∂ψ′,
+        ∂χ, ∂χ′, ∂ψₛ, ∂ψₛ′, ∂x, ∂w, ∂ϑ)
 end
 
 function _ebcm_matrices_m₀_derivative(input, data)
@@ -371,7 +371,7 @@ function _ebcm_matrices_m₀_derivative(input, data)
     T = eltype(data.r)
     CT = eltype(data.ψₛ)
     d, 𝜋, τ, ∂d, ∂𝜋, ∂τ = _ebcm_wigner_tables(T, 0, nₘₐₓ, Ng, data.ϑ, 0,
-                                                 data.∂ϑ)
+        data.∂ϑ)
 
     ∂𝐏 = zeros(CT, 2nₘₐₓ, 2nₘₐₓ)
     ∂𝐏₁₁ = view(∂𝐏, 1:nₘₐₓ, 1:nₘₐₓ)
@@ -384,6 +384,7 @@ function _ebcm_matrices_m₀_derivative(input, data)
     k = _ebcm_linearized(data.k, data.∂k)
 
     for n in 1:nₘₐₓ, n′ in 1:nₘₐₓ
+
         if isodd(n + n′)
             continue
         end
@@ -484,10 +485,10 @@ function _ebcm_matrices_m₀_derivative(input, data)
 
             ∂𝐏₁₁[n, n] = (-1im / m * data.A[n]^2 * PL̃₁).derivative
             ∂𝐏₂₂[n, n] = (-1im / m * data.A[n]^2 *
-                           (PL̃₂ + (m^2 - 1) * data.a[n] * PL̃₃)).derivative
+                          (PL̃₂ + (m^2 - 1) * data.a[n] * PL̃₃)).derivative
             ∂𝐔₁₁[n, n] = (-1im / m * data.A[n]^2 * UL̃₁).derivative
             ∂𝐔₂₂[n, n] = (-1im / m * data.A[n]^2 *
-                           (UL̃₂ + (m^2 - 1) * data.a[n] * UL̃₃)).derivative
+                          (UL̃₂ + (m^2 - 1) * data.a[n] * UL̃₃)).derivative
         end
     end
 
@@ -504,29 +505,30 @@ function _ebcm_matrices_m_derivative(input, data, m_order::Integer)
     T = eltype(data.r)
     CT = eltype(data.ψₛ)
     d, 𝜋, τ, ∂d, ∂𝜋, ∂τ = _ebcm_wigner_tables(T, m_order, nₘₐₓ, Ng,
-                                                 data.ϑ, nₘᵢₙ, data.∂ϑ)
+        data.ϑ, nₘᵢₙ, data.∂ϑ)
 
     ∂𝐏 = zeros(CT, 2nn, 2nn)
     ∂𝐏₁₁ = OffsetArray(view(∂𝐏, 1:nn, 1:nn), nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
     ∂𝐏₁₂ = OffsetArray(view(∂𝐏, 1:nn, (nn + 1):(2nn)), nₘᵢₙ:nₘₐₓ,
-                        nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ)
     ∂𝐏₂₁ = OffsetArray(view(∂𝐏, (nn + 1):(2nn), 1:nn), nₘᵢₙ:nₘₐₓ,
-                        nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ)
     ∂𝐏₂₂ = OffsetArray(view(∂𝐏, (nn + 1):(2nn), (nn + 1):(2nn)),
-                        nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
     ∂𝐔 = zeros(CT, 2nn, 2nn)
     ∂𝐔₁₁ = OffsetArray(view(∂𝐔, 1:nn, 1:nn), nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
     ∂𝐔₁₂ = OffsetArray(view(∂𝐔, 1:nn, (nn + 1):(2nn)), nₘᵢₙ:nₘₐₓ,
-                        nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ)
     ∂𝐔₂₁ = OffsetArray(view(∂𝐔, (nn + 1):(2nn), 1:nn), nₘᵢₙ:nₘₐₓ,
-                        nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ)
     ∂𝐔₂₂ = OffsetArray(view(∂𝐔, (nn + 1):(2nn), (nn + 1):(2nn)),
-                        nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
+        nₘᵢₙ:nₘₐₓ, nₘᵢₙ:nₘₐₓ)
 
     m = _ebcm_linearized(s.m, data.∂m)
     k = _ebcm_linearized(data.k, data.∂k)
 
     for n in nₘᵢₙ:nₘₐₓ, n′ in nₘᵢₙ:nₘₐₓ
+
         if !iseven(n + n′)
             PK₁ = _ebcm_linearized_zero(CT)
             PK₂ = _ebcm_linearized_zero(CT)
@@ -655,10 +657,10 @@ function _ebcm_matrices_m_derivative(input, data, m_order::Integer)
 
                 ∂𝐏₁₁[n, n] = (-1im / m * data.A[n]^2 * PL̃₁).derivative
                 ∂𝐏₂₂[n, n] = (-1im / m * data.A[n]^2 *
-                               (PL̃₂ + (m^2 - 1) * data.a[n] * PL̃₃)).derivative
+                              (PL̃₂ + (m^2 - 1) * data.a[n] * PL̃₃)).derivative
                 ∂𝐔₁₁[n, n] = (-1im / m * data.A[n]^2 * UL̃₁).derivative
                 ∂𝐔₂₂[n, n] = (-1im / m * data.A[n]^2 *
-                               (UL̃₂ + (m^2 - 1) * data.a[n] * UL̃₃)).derivative
+                              (UL̃₂ + (m^2 - 1) * data.a[n] * UL̃₃)).derivative
             end
         end
     end
@@ -668,7 +670,7 @@ end
 
 function _ebcm_matrix_derivatives(input, variables)
     _, _, cache = ebcm_matrices_m₀(input.shape, input.λ, input.nₘₐₓ, input.Ng;
-                                   reuse = true)
+        reuse = true)
     map(variables) do variable
         data = _ebcm_directional_data(input, cache, variable)
         ∂𝐏s = Vector{Matrix{eltype(data.ψₛ)}}(undef, input.nₘₐₓ + 1)
@@ -702,11 +704,11 @@ function _ebcm_variable_list_message(canonical)
 end
 
 function supports_linearization(problem::LinearizationProblem, ::EBCMLinearization;
-                                output::Symbol = :transition_matrix,
-                                config = nothing)
+        output::Symbol = :transition_matrix,
+        config = nothing)
     output == :transition_matrix ||
         return LinearizationSupport(false,
-                                    "EBCM analytical linearization only supports transition matrices")
+            "EBCM analytical linearization only supports transition matrices")
 
     input = try
         _ebcm_linearization_input(problem, config)
@@ -715,21 +717,21 @@ function supports_linearization(problem::LinearizationProblem, ::EBCMLinearizati
     end
     isnothing(input) &&
         return LinearizationSupport(false,
-                                    "EBCM analytical linearization requires shape, λ, nₘₐₓ, and Ng")
+            "EBCM analytical linearization requires shape, λ, nₘₐₓ, and Ng")
     canonical_variables = _ebcm_linearization_variables(input.shape)
     isnothing(canonical_variables) &&
         return LinearizationSupport(false,
-                                    "EBCM analytical linearization currently supports Spheroid, Chebyshev, and Cylinder slices only")
+            "EBCM analytical linearization currently supports Spheroid, Chebyshev, and Cylinder slices only")
     _linearization_variables_supported(variables(problem), canonical_variables) ||
         return LinearizationSupport(false,
-                                    "EBCM analytical linearization supports unique canonical variables drawn from $(_ebcm_variable_list_message(canonical_variables))")
+            "EBCM analytical linearization supports unique canonical variables drawn from $(_ebcm_variable_list_message(canonical_variables))")
 
     return LinearizationSupport(true, "")
 end
 
 function _checked_ebcm_linearization_input(problem::LinearizationProblem,
-                                          backend::EBCMLinearization,
-                                          config)
+        backend::EBCMLinearization,
+        config)
     support = supports_linearization(problem, backend; output = :transition_matrix, config)
     Bool(support) ||
         throw(UnsupportedLinearization(backend, :transition_matrix, support.reason))
@@ -737,18 +739,30 @@ function _checked_ebcm_linearization_input(problem::LinearizationProblem,
 end
 
 function linearize_transition_matrix(problem::LinearizationProblem,
-                                     backend::EBCMLinearization; config = nothing)
+        backend::EBCMLinearization; config = nothing)
     input = _checked_ebcm_linearization_input(problem, backend, config)
     𝐏s, 𝐔s = _ebcm_matrices(input)
-    value = ebcm_transition_matrix_from_matrices(𝐏s, 𝐔s)
+
+    # 𝐐 = 𝐏 + i𝐔 per m-block depends only on 𝐏 and 𝐔, not on the differentiated
+    # parameter. Factor each block once here and reuse it for the value block and
+    # every Jacobian slice, instead of recomputing inv(𝐐) per parameter per block.
+    factors = [_ebcm_factor(@. 𝐏 + 1im * 𝐔) for (𝐏, 𝐔) in zip(𝐏s, 𝐔s)]
+    𝐓blocks = [-_ebcm_rdiv(𝐏, F) for (𝐏, F) in zip(𝐏s, factors)]
+    value = _axisymmetric_transition_matrix_from_blocks(𝐓blocks)
+
     matrix_derivatives = _ebcm_matrix_derivatives(input, variables(problem))
     jacobian = map(matrix_derivatives) do (∂𝐏s, ∂𝐔s)
-        ∂ebcm_transition_matrix_from_matrices(𝐏s, 𝐔s, ∂𝐏s, ∂𝐔s)
+        ∂blocks = map(∂𝐏s, ∂𝐔s, 𝐓blocks, factors) do ∂𝐏, ∂𝐔, 𝐓, F
+            ∂𝐐 = @. ∂𝐏 + 1im * ∂𝐔
+            # ∂𝐓 = -(∂𝐏 + 𝐓 ∂𝐐) 𝐐⁻¹, reusing the block factor and value block.
+            -_ebcm_rdiv(∂𝐏 + 𝐓 * ∂𝐐, F)
+        end
+        _axisymmetric_transition_matrix_from_blocks(∂blocks)
     end
 
     return LinearizationResult(value, jacobian, variables(problem);
-                               metadata = (; backend = :ebcm_analytic,
-                                           λ = input.λ,
-                                           nₘₐₓ = input.nₘₐₓ,
-                                           Ng = input.Ng))
+        metadata = (; backend = :ebcm_analytic,
+            λ = input.λ,
+            nₘₐₓ = input.nₘₐₓ,
+            Ng = input.Ng))
 end
diff --git a/src/EBCM/routines.jl b/src/EBCM/routines.jl
index e3f3485..e41691e 100644
--- a/src/EBCM/routines.jl
+++ b/src/EBCM/routines.jl
@@ -41,86 +41,3 @@ function routine_mishchenko(threshold, ndgs, nₘₐₓ_only)
 
     return routine
 end
-
-@doc raw"""
-```
-transition_matrix(s::AbstractAxisymmetricShape{T, CT}, λ; ...) where {T, CT}
-```
-
-Main function for calculating the transition matrix of an axisymmetric shape.
-
-Parameters:
-
-- `s`: Axisymmetric shape
-- `λ`: Wavelength
-
-Keyword arguments:
-
-- `threshold`: Convergence threshold, defaults to `0.0001`
-- `ndgs`: Number of discrete Gauss quadrature points per degree, defaults to `4`
-- `routine_generator`: Function that generates the convergence routine, defaults to `routine_mishchenko`
-- `nₛₜₐᵣₜ`: The initial number of the truncation order, defaults to `0`, and the actual value will be calculated automatically using the following formula:
-
-```math
-n_{\text{start}} = \max(4, \lceil kr_{\max} + 4.05 \sqrt[3]{kr_{\max}} \rceil)
-```
-
-- `Ngₛₜₐᵣₜ`: The initial number of discrete Gauss quadrature points, defaults to `nₛₜₐᵣₜ * ndgs`
-- `nₘₐₓ_only`: Only check convergence of `nₘₐₓ`, defaults to `false`, meaning that convergence of both `nₘₐₓ` and `Ng` will be checked
-- `full`: Whether to calculate the whole transition matrix in each iteration, defaults to `false`, and only the `m=m′=0` block will be calculated
-- `reuse`: Whether to reuse the cache of the previous iteration, defaults to `true`
-- `maxiter`: Maximum number of iterations, defaults to `20`
-- `zerofn`: Function that defines the type used for numerical integration, defaults to `() -> zero(CT)` where `CT` is defined by the shape
-"""
-function transition_matrix(s::AbstractAxisymmetricShape{T, CT}, λ; threshold = 0.0001,
-                           ndgs = 4, routine_generator = routine_mishchenko,
-                           nₛₜₐᵣₜ = 0, Ngₛₜₐᵣₜ = nₛₜₐᵣₜ * ndgs, nₘₐₓ_only = false,
-                           full = false, reuse = true, maxiter = 20,
-                           zerofn = () -> zero(CT)) where {T, CT}
-    if nₛₜₐᵣₜ == 0
-        kr = 2π * rmax(s) / λ
-        if nₛₜₐᵣₜ == 0
-            nₛₜₐᵣₜ = max(4, ceil(Int, kr + 4.05 * ∛kr))
-            Ngₛₜₐᵣₜ = nₛₜₐᵣₜ * ndgs
-        end
-    end
-
-    routine = routine_generator(threshold, ndgs, nₘₐₓ_only)
-    nₘₐₓ, Ng = nₛₜₐᵣₜ, Ngₛₜₐᵣₜ
-    counter = 0
-    while true
-        cache = nothing
-        counter += 1
-
-        if !full
-            T₀, cache = transition_matrix_m₀(s, λ, nₘₐₓ, Ng; reuse = true)
-            Qext, Qsca = extinction_efficiency_m₀(T₀), scattering_efficiency_m₀(T₀)
-        else
-            𝐓 = transition_matrix(s, λ, nₘₐₓ, Ng)
-            Qext, Qsca = extinction_cross_section(𝐓, λ), scattering_cross_section(𝐓, λ)
-        end
-
-        @debug "Qsca = $Qsca, Qext = $Qext"
-        nₘₐₓ′, Ng′ = routine(nₘₐₓ, Ng, Qsca, Qext)
-        if nₘₐₓ′ == -1
-            if full
-                return 𝐓
-            else
-                Ts = [T₀]
-                for m in 1:nₘₐₓ
-                    @debug "Calculating for m = $m"
-                    Tₘ = transition_matrix_m(m, s, λ, nₘₐₓ, Ng;
-                                             cache = reuse ? cache : nothing)
-                    push!(Ts, Tₘ)
-                end
-                return AxisymmetricTransitionMatrix{CT, nₘₐₓ, typeof(Ts), T}(Ts)
-            end
-        else
-            nₘₐₓ, Ng = nₘₐₓ′, Ng′
-        end
-
-        if counter > maxiter
-            error("Maximum number of iterations reached, failed to converge.")
-        end
-    end
-end
diff --git a/src/EBCM/shmatrix.jl b/src/EBCM/shmatrix.jl
new file mode 100644
index 0000000..146e692
--- /dev/null
+++ b/src/EBCM/shmatrix.jl
@@ -0,0 +1,814 @@
+# ── Sh-matrix moment-separation feature ──────────────────────────────────────
+#
+# The EBCM surface integrals that build `𝐏` and `𝐔` all have the form
+#
+#     ∫ (angular×geometry) · f_n(kr) · g_{n′}(s·kr) dϑ ,
+#
+# where `f,g` are Riccati–Bessel functions `ψ,ψ′,χ,χ′`, `k = 2π/λ` is the size
+# parameter and `s` the relative refractive index. Expanding the radial
+# functions in their power series (DLMF 10.53, coefficients `_β`,`_γ` — the same
+# tables used by the `F⁺` stabilization) factors every integral as
+#
+#     ∫ = Σ_{terms} [size/material coefficient in (k,s)] × [shape-only moment M(q)] ,
+#
+# where the *shape moment* `M(q) = ∫ (angular×geometry) · r^q dϑ` depends only on
+# the particle geometry and the azimuthal index `m`, **not** on `k` or `s`. The
+# moments are therefore computed once (`prepare_sh`); each `(λ, s)` evaluation is
+# a cheap coefficient×moment sum, which is what makes parameter sweeps fast.
+#
+# This is the same idea as the `F⁺` construction (expand and integrate term by
+# term), generalized to every EBCM integral. It also recovers the spheroid `𝐔`
+# stabilization for free: for a spheroid the negative-`r`-power moments vanish
+# analytically, so — computed at high precision — they contribute ≈0 and the
+# catastrophic cancellation in the irregular `χ_n·ψ_{n′}` products never forms.
+#
+# References:
+# - V. G. Farafonov, Sh-matrix family (parameter separation).
+# - Somerville, Auguié & Le Ru, JQSRT 123 (2013) 153 (the `F⁺` projection).
+
+# ── Radial power-series term tables (reuse `_β`, `_γ`) ────────────────────────
+#
+# For order `n`, each Riccati–Bessel function is `Σ_{b≥0} c_b · z^{base+2b}`:
+#   ψ_n(z)  : base = n+1,   c_b = β_{n,b}
+#   ψ′_n(z) : base = n,     c_b = β_{n,b}·(n+1+2b)
+#   χ_n(z)  : base = -n,    c_b = γ_{n,b}
+#   χ′_n(z) : base = -n-1,  c_b = γ_{n,b}·(2b-n)
+"""
+    _sh_series(kind, n, B, R) -> (base, coeffs::Vector{R})
+
+Coefficients `c_b` (`b = 0:B-1`) and the lowest exponent `base` of the power
+series of a Riccati–Bessel function `kind ∈ (:ψ, :ψ′, :χ, :χ′)` of order `n`,
+i.e. `f_n(z) = Σ_b coeffs[b+1] · z^{base + 2b}`.
+"""
+function _sh_series(kind::Symbol, n::Integer, B::Integer, ::Type{R}) where {R}
+    coeffs = Vector{R}(undef, B)
+    if kind === :ψ
+        base = n + 1
+        for b in 0:(B - 1)
+            coeffs[b + 1] = R(_β(n, b))
+        end
+    elseif kind === :ψ′
+        base = n
+        for b in 0:(B - 1)
+            coeffs[b + 1] = R(_β(n, b)) * (n + 1 + 2b)
+        end
+    elseif kind === :χ
+        base = -n
+        for b in 0:(B - 1)
+            coeffs[b + 1] = R(_γ(n, b))
+        end
+    elseif kind === :χ′
+        base = -n - 1
+        for b in 0:(B - 1)
+            coeffs[b + 1] = R(_γ(n, b)) * (2b - n)
+        end
+    else
+        throw(ArgumentError("unknown Riccati–Bessel kind $kind"))
+    end
+    return base, coeffs
+end
+
+# ── Precomputed coefficient tables (size/material-independent) ────────────────
+"""
+    _sh_coeff_tables(nmax, B, R) -> NamedTuple(ψ, ψ′, χ, χ′)
+
+Build the radial power-series coefficient tables once (they depend only on the
+order and `B`, not on `k`/`mᵣ`), so a parameter sweep never re-runs the BigInt
+`_β`/`_γ` arithmetic. Each entry is an `OffsetVector` over `n = 1:nmax` of
+`(base, coeffs)` from `_sh_series`.
+"""
+function _sh_coeff_tables(nmax::Integer, B::Integer, ::Type{R}) where {R}
+    mk(kind) = OffsetArray([_sh_series(kind, n, B, R) for n in 1:nmax], 1:nmax)
+    return (ψ = mk(:ψ), ψ′ = mk(:ψ′), χ = mk(:χ), χ′ = mk(:χ′))
+end
+
+# ── Per-evaluation power weighting ────────────────────────────────────────────
+"""
+    _sh_weighted(tbl, nmin, nmax, z) -> OffsetVector of (base, w)
+
+Fold the argument power `z^{base+2b}` into the series coefficients, giving
+`w[b+1] = coeffs[b+1]·z^{base+2b}`, with `z = k` for the regular factor `f(kr)`
+or `z = s·k` for the internal factor `g(s·kr)`. Built once per `(k, mᵣ)` point
+per order and reused across all integrands. Powers advance incrementally — no
+`^` in the hot loop. The `base` is kept so `_sh_conv` can index the
+shape moment by the correct `r`-power.
+"""
+function _sh_weighted(tbl, nmin::Integer, nmax::Integer, z::Number)
+    z2 = z * z
+    Tz = typeof(z * one(eltype(tbl[nmin][2])))
+    out = OffsetArray(Vector{Tuple{Int, Vector{Tz}}}(undef, nmax - nmin + 1), nmin:nmax)
+    for n in nmin:nmax
+        base, cf = tbl[n]
+        B = length(cf)
+        w = Vector{Tz}(undef, B)
+        zb = z^base
+        @inbounds for b in 1:B
+            w[b] = cf[b] * zb
+            zb *= z2
+        end
+        out[n] = (base, w)
+    end
+    return out
+end
+
+# ── Folded coefficient×moment reconstruction ──────────────────────────────────
+"""
+    _sh_conv(f, g, M, shift) -> Complex
+
+Reconstruct `∫ (geometry) · f_n(kr) · g_{n′}(s·kr) · r^{shift} dϑ` from the
+weighted radial terms `f = (basef, u)`, `g = (baseg, v)` (see `_sh_weighted`)
+and the shape-moment lookup `M(q)`. The double sum is folded along the
+anti-diagonals `j = b+c`: the `r`-power is `q₀ + 2j` (`q₀ = basef+baseg+shift`)
+and depends only on `j`, so the moment `M` is fetched `O(B)` times instead of
+`O(B²)`, and the inner convolution `Σ_{b+c=j} u[b]·v[c]` reuses the precomputed
+weighted terms with no `^` and no per-term coefficient work.
+"""
+@inline function _sh_conv(f, g, M, shift::Integer)
+    basef, u = f
+    baseg, v = g
+    Bf = length(u)
+    Bg = length(v)
+    q0 = basef + baseg + shift
+    acc = zero(eltype(v))
+    @inbounds for j in 0:(Bf + Bg - 2)
+        si = zero(eltype(v))
+        for b in max(0, j - (Bg - 1)):min(j, Bf - 1)
+            si += u[b + 1] * v[j - b + 1]
+        end
+        acc += si * M(q0 + 2j)
+    end
+    return acc
+end
+
+# ── High-precision shape widening (for the vanishing negative-power moments) ──
+function _sh_widen(s::Spheroid, ::Type{R}) where {R}
+    Spheroid{R, Complex{R}}(R(s.a), R(s.c), Complex{R}(s.m))
+end
+# Fallback: a general shape is used at its native precision. The negative-power
+# moments then carry only native round-off, so the analytic `𝐔` stabilization is
+# *not* available for non-spheroid shapes (gated in `prepare_sh`); `𝐏` and the
+# parameter-sweep reuse work for any axisymmetric shape.
+_sh_widen(s, ::Type{R}) where {R} = s
+
+# ── Shape moments for one azimuthal index `m` ────────────────────────────────
+"""
+    _sh_geometry(shape, Ng, qlo, qhi; momtype, store) -> NamedTuple
+
+Compute the `m`-independent geometry once: the (high-precision) Gauss–Legendre
+nodes/weights, the polar angles `ϑ`, and the two `r`-power weight tables shared
+by every azimuthal block,
+
+  WR[i,q] = wᵢ r′ᵢ rᵢ^q     (for the `τd`/`πd` families)
+  Wq[i,q] = wᵢ rᵢ^q         (for the `ππττ` family, which carries no `r′`)
+
+`gaussquad` and the `rᵢ^q` table do not depend on `m`, so hoisting them out of
+the per-`m` loop avoids recomputing them `nmax+1` times.
+
+The weights are also returned cast to the fast accumulation type
+`Tf = store<:IEEEFloat ? store : momtype` as `WRf`/`Wqf`: the catastrophic
+cancellation lives entirely in the negative-`r`-power (`q<0`) moments, so the
+well-conditioned `q≥0` bulk can be contracted in hardware precision while only
+the `q<0` part keeps the slow `momtype` accumulation (see `_sh_moments_m`).
+"""
+function _sh_geometry(shape, Ng::Integer, qlo::Integer, qhi::Integer;
+        momtype::Type{R} = BigFloat, store::Type = Float64) where {R}
+    sym = has_symmetric_plane(shape)
+    ng = sym ? Ng ÷ 2 : Ng
+
+    sh = _sh_widen(shape, R)
+    x, w, r, r′ = gaussquad(sh, Ng)
+    ϑ = acos.(x)
+
+    nq = qhi - qlo + 1
+    WR = OffsetArray(zeros(R, ng, nq), 1:ng, qlo:qhi)
+    Wq = OffsetArray(zeros(R, ng, nq), 1:ng, qlo:qhi)
+    for i in 1:ng
+        ri = r[i]
+        wi = w[i]
+        wri = wi * r′[i]
+        rqᵢ = one(R)
+        Wq[i, 0] = wi
+        WR[i, 0] = wri
+        for q in 1:qhi
+            rqᵢ *= ri
+            Wq[i, q] = wi * rqᵢ
+            WR[i, q] = wri * rqᵢ
+        end
+        rqᵢ = one(R)
+        for q in -1:-1:qlo
+            rqᵢ /= ri
+            Wq[i, q] = wi * rqᵢ
+            WR[i, q] = wri * rqᵢ
+        end
+    end
+
+    Tf = store <: Base.IEEEFloat ? store : R
+    WRf = Tf === R ? WR : Tf.(WR)
+    Wqf = Tf === R ? Wq : Tf.(Wq)
+
+    return (; sym, ng, ϑ, WR, Wq, WRf, Wqf, qlo, qhi)
+end
+
+"""
+    _sh_moments_m(geom, m, nmax; store) -> NamedTuple
+
+Compute the shape-only moment tables for azimuthal index `m` from the shared
+`_sh_geometry` `geom`, stored as `store` (default `Float64`). Families
+(sum over `i in 1:ng`, mirroring `ebcm_matrices_m₀`):
+
+  Mτd[n,n′,q]  = Σ WR[i,q] τ[i,n] d[i,n′]
+  Mπd[n,n′,q]  = Σ WR[i,q] π[i,n] d[i,n′]   (only `m>0`)
+  Mππττ[n,q]   = Σ Wq[i,q] (π[i,n]²+τ[i,n]²)
+
+`Mdτ[n,n′,q] = Mτd[n′,n,q]` exactly (swap the two orders), so it is not stored —
+the assembly reads `Mτd` with the indices transposed. The angular products are
+formed once per `(n,n′)` instead of once per `q`.
+
+**Precision split.** The catastrophic cancellation that motivates the
+high-precision accumulation lives entirely in the negative-`r`-power (`q<0`)
+moments — for a spheroid those vanish analytically and must reach ≈0 rather than
+round-off. The `q≥0` bulk is well conditioned, so it is contracted in the fast
+type `Tf` (hardware float when `store` is one), while only the `q<0` slice keeps
+the slow `momtype` accumulation. This is where most of the precompute time goes,
+so the split is the dominant speedup; it leaves results unchanged because the
+`q≥0` moments never needed the extra precision.
+"""
+function _sh_moments_m(geom, m::Integer, nmax::Integer;
+        store::Type{Ts} = Float64, vanish_negative::Bool = false) where {Ts}
+    WR, Wq, WRf, Wqf = geom.WR, geom.Wq, geom.WRf, geom.Wqf
+    R = eltype(WR)
+    Tf = eltype(WRf)
+    ϑ = geom.ϑ
+    ng = geom.ng
+    qlo, qhi = geom.qlo, geom.qhi
+    Ng = length(ϑ)
+    mm = Int(m)
+    nmin = max(1, mm)
+    nq = qhi - qlo + 1
+
+    # When the negative-power moments vanish analytically (spheroid), skip them
+    # entirely (they stay 0) and integrate the well-conditioned q ≥ -1 moments in
+    # the fast type; otherwise integrate q < 0 in the high-precision type and the
+    # q ≥ 0 bulk fast.
+    qbulk_lo = vanish_negative ? -1 : 0
+    qneg = vanish_negative ? (1:0) : (qlo:-1)
+
+    d = OffsetArray(zeros(R, Ng, nmax - mm + 1), 1:Ng, mm:nmax)
+    τ = similar(d)
+    𝜋 = similar(d)
+    for i in 1:Ng
+        wigner_d_recursion!(view(d, i, :), 0, mm, nmax, ϑ[i]; deriv = view(τ, i, :))
+        for n in mm:nmax
+            𝜋[i, n] = pi_func(R, mm, n, ϑ[i]; d = d[i, n])
+        end
+    end
+    # Fast-type copies of the angular functions for the well-conditioned q≥0 bulk.
+    df = Tf === R ? d : Tf.(d)
+    τf = Tf === R ? τ : Tf.(τ)
+    𝜋f = Tf === R ? 𝜋 : Tf.(𝜋)
+
+    Mτd = OffsetArray(zeros(Ts, nmax, nmax, nq), 1:nmax, 1:nmax, qlo:qhi)
+    Mπd = OffsetArray(zeros(Ts, nmax, nmax, nq), 1:nmax, 1:nmax, qlo:qhi)
+    Mππττ = OffsetArray(zeros(Ts, nmax, nq), 1:nmax, qlo:qhi)
+
+    gτd = Vector{R}(undef, ng)
+    gπd = Vector{R}(undef, ng)
+    gτdf = Vector{Tf}(undef, ng)
+    gπdf = Vector{Tf}(undef, ng)
+    for n in nmin:nmax, n′ in nmin:nmax
+        # q < 0: ill-conditioned, accumulate in momtype precision.
+        @inbounds for i in 1:ng
+            dᵢ = d[i, n′]
+            gτd[i] = τ[i, n] * dᵢ
+            gπd[i] = 𝜋[i, n] * dᵢ
+        end
+        @inbounds for q in qneg
+            sτd = zero(R)
+            sπd = zero(R)
+            for i in 1:ng
+                wr = WR[i, q]
+                sτd += wr * gτd[i]
+                sπd += wr * gπd[i]
+            end
+            Mτd[n, n′, q] = Ts(sτd)
+            Mπd[n, n′, q] = Ts(sπd)
+        end
+        # q ≥ qbulk_lo: well conditioned, fast accumulation.
+        @inbounds for i in 1:ng
+            dᵢ = df[i, n′]
+            gτdf[i] = τf[i, n] * dᵢ
+            gπdf[i] = 𝜋f[i, n] * dᵢ
+        end
+        @inbounds for q in qbulk_lo:qhi
+            sτd = zero(Tf)
+            sπd = zero(Tf)
+            @simd for i in 1:ng
+                wr = WRf[i, q]
+                sτd += wr * gτdf[i]
+                sπd += wr * gπdf[i]
+            end
+            Mτd[n, n′, q] = Ts(sτd)
+            Mπd[n, n′, q] = Ts(sπd)
+        end
+    end
+
+    gππττ = Vector{R}(undef, ng)
+    gππττf = Vector{Tf}(undef, ng)
+    for n in nmin:nmax
+        @inbounds for i in 1:ng
+            gππττ[i] = 𝜋[i, n]^2 + τ[i, n]^2
+        end
+        @inbounds for q in qneg
+            sm = zero(R)
+            for i in 1:ng
+                sm += Wq[i, q] * gππττ[i]
+            end
+            Mππττ[n, q] = Ts(sm)
+        end
+        @inbounds for i in 1:ng
+            gππττf[i] = 𝜋f[i, n]^2 + τf[i, n]^2
+        end
+        @inbounds for q in qbulk_lo:qhi
+            sm = zero(Tf)
+            @simd for i in 1:ng
+                sm += Wqf[i, q] * gππττf[i]
+            end
+            Mππττ[n, q] = Ts(sm)
+        end
+    end
+
+    return (; Mτd, Mπd, Mππττ, nmin, qlo, qhi, sym = geom.sym, ng)
+end
+
+# Default `q` band wide enough for every `m=0..nmax` integrand:
+#   lowest  : χ′_n·ψ_{n′}/(kr)²  → (-n-1)+(n′)-2 ≥ -(nmax+2)
+#   highest : ψ_n·ψ_{n′}         → (n+1)+(n′+1)+2(B-1) ≤ 2nmax+2B
+_sh_qband(nmax::Integer, B::Integer) = (-(nmax + 2), 2nmax + 2B)
+
+# Bounds-safe moment lookup (terms outside the stored band are negligibly small
+# high-order tails / analytically absent low orders).
+@inline function _sh_lookup(M3, n::Integer, n′::Integer, q::Integer, qlo::Integer,
+        qhi::Integer)
+    (qlo ≤ q ≤ qhi) ? (@inbounds M3[n, n′, q]) : zero(eltype(M3))
+end
+@inline function _sh_lookup(M2, n::Integer, q::Integer, qlo::Integer, qhi::Integer)
+    (qlo ≤ q ≤ qhi) ? (@inbounds M2[n, q]) : zero(eltype(M2))
+end
+
+# ── m=0 assembly from moments (mirrors `ebcm_matrices_m₀`) ────────────────────
+"""
+    _sh_matrices_m₀(mom, coeffs, k, s, nmax, CT) -> (𝐏, 𝐔)
+
+Reconstruct the `m=0` `𝐏` and `𝐔` blocks from the precomputed `m=0` moment
+tables `mom` and the size/material-independent coefficient tables `coeffs` at
+size parameter `k` and refractive index `s`. The algebra reproduces
+`ebcm_matrices_m₀` term by term.
+"""
+function _sh_matrices_m₀(mom, coeffs, k::Real, s::Number, nmax::Integer,
+        ::Type{CT}) where {CT}
+    R = real(CT)
+    sym = mom.sym
+    qlo, qhi = mom.qlo, mom.qhi
+    Mτd, Mππττ = mom.Mτd, mom.Mππττ
+
+    a = [n * (n + 1) for n in 1:nmax]
+    A = [√(R(2n + 1) / (2n * (n + 1))) for n in 1:nmax]
+
+    sc = Complex{R}(s)
+    kk = R(k)
+    sk = sc * kk
+    Uψ = _sh_weighted(coeffs.ψ, 1, nmax, kk)
+    Uψ′ = _sh_weighted(coeffs.ψ′, 1, nmax, kk)
+    Uχ = _sh_weighted(coeffs.χ, 1, nmax, kk)
+    Uχ′ = _sh_weighted(coeffs.χ′, 1, nmax, kk)
+    Vψ = _sh_weighted(coeffs.ψ, 1, nmax, sk)
+    Vψ′ = _sh_weighted(coeffs.ψ′, 1, nmax, sk)
+
+    𝐏 = zeros(CT, 2nmax, 2nmax)
+    𝐏₁₁ = view(𝐏, 1:nmax, 1:nmax)
+    𝐏₂₂ = view(𝐏, (nmax + 1):(2nmax), (nmax + 1):(2nmax))
+    𝐔 = zeros(CT, 2nmax, 2nmax)
+    𝐔₁₁ = view(𝐔, 1:nmax, 1:nmax)
+    𝐔₂₂ = view(𝐔, (nmax + 1):(2nmax), (nmax + 1):(2nmax))
+
+    # Mdτ[n,n′,q] = Mτd[n′,n,q] exactly, so read Mτd with the orders swapped.
+    Mτd_q(n, n′) = q -> _sh_lookup(Mτd, n, n′, q, qlo, qhi)
+    Mdτ_q(n, n′) = q -> _sh_lookup(Mτd, n′, n, q, qlo, qhi)
+    Mππττ_q(n) = q -> _sh_lookup(Mππττ, n, q, qlo, qhi)
+
+    for n in 1:nmax, n′ in 1:nmax
+
+        sym && isodd(n + n′) && continue
+        if n != n′
+            fτd = Mτd_q(n, n′)
+            fdτ = Mdτ_q(n, n′)
+            PL₁ = kk * _sh_conv(Uψ[n], Vψ[n′], fτd, 0)
+            PL₂ = kk * _sh_conv(Uψ[n], Vψ[n′], fdτ, 0)
+            PL₇ = kk * _sh_conv(Uψ′[n], Vψ′[n′], fτd, 0) +
+                  (a[n] / sc / kk) * _sh_conv(Uψ[n], Vψ[n′], fτd, -2)
+            PL₈ = kk * _sh_conv(Uψ′[n], Vψ′[n′], fdτ, 0) +
+                  (a[n′] / sc / kk) * _sh_conv(Uψ[n], Vψ[n′], fdτ, -2)
+
+            UL₁ = kk * _sh_conv(Uχ[n], Vψ[n′], fτd, 0)
+            UL₂ = kk * _sh_conv(Uχ[n], Vψ[n′], fdτ, 0)
+            UL₇ = kk * _sh_conv(Uχ′[n], Vψ′[n′], fτd, 0) +
+                  (a[n] / sc / kk) * _sh_conv(Uχ[n], Vψ[n′], fτd, -2)
+            UL₈ = kk * _sh_conv(Uχ′[n], Vψ′[n′], fdτ, 0) +
+                  (a[n′] / sc / kk) * _sh_conv(Uχ[n], Vψ[n′], fdτ, -2)
+
+            pref = 1im * A[n] * A[n′] * (sc^2 - 1) / (sc * (a[n] - a[n′]))
+            𝐏₁₁[n, n′] = pref * (a[n] * PL₂ - a[n′] * PL₁)
+            𝐏₂₂[n, n′] = pref * (a[n] * PL₈ - a[n′] * PL₇)
+            𝐔₁₁[n, n′] = pref * (a[n] * UL₂ - a[n′] * UL₁)
+            𝐔₂₂[n, n′] = pref * (a[n] * UL₈ - a[n′] * UL₇)
+        else
+            fππττ = Mππττ_q(n)
+            fτd = Mτd_q(n, n)
+            PL̃₁ = _sh_conv(Uψ′[n], Vψ[n], fππττ, 0) -
+                   sc * _sh_conv(Uψ[n], Vψ′[n], fππττ, 0)
+            PL̃₂ = sc * _sh_conv(Uψ′[n], Vψ[n], fππττ, 0) -
+                   _sh_conv(Uψ[n], Vψ′[n], fππττ, 0)
+            PL̃₃ = (1 / sc / kk) * _sh_conv(Uψ[n], Vψ[n], fτd, -2)
+
+            UL̃₁ = _sh_conv(Uχ′[n], Vψ[n], fππττ, 0) -
+                   sc * _sh_conv(Uχ[n], Vψ′[n], fππττ, 0)
+            UL̃₂ = sc * _sh_conv(Uχ′[n], Vψ[n], fππττ, 0) -
+                   _sh_conv(Uχ[n], Vψ′[n], fππττ, 0)
+            UL̃₃ = (1 / sc / kk) * _sh_conv(Uχ[n], Vψ[n], fτd, -2)
+
+            𝐏₁₁[n, n] = -1im / sc * A[n]^2 * PL̃₁
+            𝐏₂₂[n, n] = -1im / sc * A[n]^2 * (PL̃₂ + (sc^2 - 1) * a[n] * PL̃₃)
+            𝐔₁₁[n, n] = -1im / sc * A[n]^2 * UL̃₁
+            𝐔₂₂[n, n] = -1im / sc * A[n]^2 * (UL̃₂ + (sc^2 - 1) * a[n] * UL̃₃)
+        end
+    end
+
+    return 𝐏, 𝐔
+end
+
+# ── m>0 assembly from moments (mirrors `_transition_matrix_m_core`) ───────────
+"""
+    _sh_matrices_m(mom, coeffs, m, k, s, nmax, CT) -> (𝐏, 𝐔)
+
+Reconstruct the `m`-th `𝐏` and `𝐔` blocks (`2nn × 2nn`, `nn = nmax-m+1` for
+`m≥1`) from the precomputed moment tables `mom` for that `m` and the
+size/material-independent coefficient tables `coeffs`. The `K`-blocks use the
+`M^{πd}` family; the `L`-blocks reuse the same reconstruction as the `m=0` case
+(with the `m`-dependent Wigner functions baked into `mom`). The algebra
+reproduces `_transition_matrix_m_core` term by term.
+"""
+function _sh_matrices_m(mom, coeffs, m::Integer, k::Real, s::Number, nmax::Integer,
+        ::Type{CT}) where {CT}
+    R = real(CT)
+    sym = mom.sym
+    qlo, qhi = mom.qlo, mom.qhi
+    Mτd, Mπd, Mππττ = mom.Mτd, mom.Mπd, mom.Mππττ
+    nₘᵢₙ = max(1, Int(m))
+    nn = nmax - nₘᵢₙ + 1
+
+    a = OffsetArray([n * (n + 1) for n in nₘᵢₙ:nmax], nₘᵢₙ:nmax)
+    A = OffsetArray([√(R(2n + 1) / (2n * (n + 1))) for n in nₘᵢₙ:nmax], nₘᵢₙ:nmax)
+
+    sc = Complex{R}(s)
+    kk = R(k)
+    sk = sc * kk
+    Uψ = _sh_weighted(coeffs.ψ, nₘᵢₙ, nmax, kk)
+    Uψ′ = _sh_weighted(coeffs.ψ′, nₘᵢₙ, nmax, kk)
+    Uχ = _sh_weighted(coeffs.χ, nₘᵢₙ, nmax, kk)
+    Uχ′ = _sh_weighted(coeffs.χ′, nₘᵢₙ, nmax, kk)
+    Vψ = _sh_weighted(coeffs.ψ, nₘᵢₙ, nmax, sk)
+    Vψ′ = _sh_weighted(coeffs.ψ′, nₘᵢₙ, nmax, sk)
+
+    𝐏 = zeros(CT, 2nn, 2nn)
+    𝐏₁₁ = OffsetArray(view(𝐏, 1:nn, 1:nn), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐏₁₂ = OffsetArray(view(𝐏, 1:nn, (nn + 1):(2nn)), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐏₂₁ = OffsetArray(view(𝐏, (nn + 1):(2nn), 1:nn), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐏₂₂ = OffsetArray(view(𝐏, (nn + 1):(2nn), (nn + 1):(2nn)), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+
+    𝐔 = zeros(CT, 2nn, 2nn)
+    𝐔₁₁ = OffsetArray(view(𝐔, 1:nn, 1:nn), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐔₁₂ = OffsetArray(view(𝐔, 1:nn, (nn + 1):(2nn)), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐔₂₁ = OffsetArray(view(𝐔, (nn + 1):(2nn), 1:nn), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+    𝐔₂₂ = OffsetArray(view(𝐔, (nn + 1):(2nn), (nn + 1):(2nn)), nₘᵢₙ:nmax, nₘᵢₙ:nmax)
+
+    # Mdτ[n,n′,q] = Mτd[n′,n,q] exactly, so read Mτd with the orders swapped.
+    Mτd_q(n, n′) = q -> _sh_lookup(Mτd, n, n′, q, qlo, qhi)
+    Mdτ_q(n, n′) = q -> _sh_lookup(Mτd, n′, n, q, qlo, qhi)
+    Mπd_q(n, n′) = q -> _sh_lookup(Mπd, n, n′, q, qlo, qhi)
+    Mππττ_q(n) = q -> _sh_lookup(Mππττ, n, q, qlo, qhi)
+
+    for n in nₘᵢₙ:nmax, n′ in nₘᵢₙ:nmax
+
+        if !(sym && iseven(n + n′))
+            fπd = Mπd_q(n, n′)
+            PK₁ = kk * _sh_conv(Uψ[n], Vψ′[n′], fπd, 0)
+            PK₂ = kk * _sh_conv(Uψ′[n], Vψ[n′], fπd, 0)
+            UK₁ = kk * _sh_conv(Uχ[n], Vψ′[n′], fπd, 0)
+            UK₂ = kk * _sh_conv(Uχ′[n], Vψ[n′], fπd, 0)
+
+            𝐏₁₂[n, n′] = A[n] * A[n′] * (sc^2 - 1) / sc * PK₁
+            𝐏₂₁[n, n′] = A[n] * A[n′] * (1 - sc^2) / sc * PK₂
+            𝐔₁₂[n, n′] = A[n] * A[n′] * (sc^2 - 1) / sc * UK₁
+            𝐔₂₁[n, n′] = A[n] * A[n′] * (1 - sc^2) / sc * UK₂
+        end
+
+        if !(sym && isodd(n + n′))
+            if n != n′
+                fτd = Mτd_q(n, n′)
+                fdτ = Mdτ_q(n, n′)
+                PL₁ = kk * _sh_conv(Uψ[n], Vψ[n′], fτd, 0)
+                PL₂ = kk * _sh_conv(Uψ[n], Vψ[n′], fdτ, 0)
+                PL₇ = kk * _sh_conv(Uψ′[n], Vψ′[n′], fτd, 0) +
+                      (a[n] / sc / kk) * _sh_conv(Uψ[n], Vψ[n′], fτd, -2)
+                PL₈ = kk * _sh_conv(Uψ′[n], Vψ′[n′], fdτ, 0) +
+                      (a[n′] / sc / kk) * _sh_conv(Uψ[n], Vψ[n′], fdτ, -2)
+
+                UL₁ = kk * _sh_conv(Uχ[n], Vψ[n′], fτd, 0)
+                UL₂ = kk * _sh_conv(Uχ[n], Vψ[n′], fdτ, 0)
+                UL₇ = kk * _sh_conv(Uχ′[n], Vψ′[n′], fτd, 0) +
+                      (a[n] / sc / kk) * _sh_conv(Uχ[n], Vψ[n′], fτd, -2)
+                UL₈ = kk * _sh_conv(Uχ′[n], Vψ′[n′], fdτ, 0) +
+                      (a[n′] / sc / kk) * _sh_conv(Uχ[n], Vψ[n′], fdτ, -2)
+
+                pref = 1im * A[n] * A[n′] * (sc^2 - 1) / (sc * (a[n] - a[n′]))
+                𝐏₁₁[n, n′] = pref * (a[n] * PL₂ - a[n′] * PL₁)
+                𝐏₂₂[n, n′] = pref * (a[n] * PL₈ - a[n′] * PL₇)
+                𝐔₁₁[n, n′] = pref * (a[n] * UL₂ - a[n′] * UL₁)
+                𝐔₂₂[n, n′] = pref * (a[n] * UL₈ - a[n′] * UL₇)
+            else
+                fππττ = Mππττ_q(n)
+                fτd = Mτd_q(n, n)
+                PL̃₁ = _sh_conv(Uψ′[n], Vψ[n], fππττ, 0) -
+                       sc * _sh_conv(Uψ[n], Vψ′[n], fππττ, 0)
+                PL̃₂ = sc * _sh_conv(Uψ′[n], Vψ[n], fππττ, 0) -
+                       _sh_conv(Uψ[n], Vψ′[n], fππττ, 0)
+                PL̃₃ = (1 / sc / kk) * _sh_conv(Uψ[n], Vψ[n], fτd, -2)
+
+                UL̃₁ = _sh_conv(Uχ′[n], Vψ[n], fππττ, 0) -
+                       sc * _sh_conv(Uχ[n], Vψ′[n], fππττ, 0)
+                UL̃₂ = sc * _sh_conv(Uχ′[n], Vψ[n], fππττ, 0) -
+                       _sh_conv(Uχ[n], Vψ′[n], fππττ, 0)
+                UL̃₃ = (1 / sc / kk) * _sh_conv(Uχ[n], Vψ[n], fτd, -2)
+
+                𝐏₁₁[n, n] = -1im / sc * A[n]^2 * PL̃₁
+                𝐏₂₂[n, n] = -1im / sc * A[n]^2 * (PL̃₂ + (sc^2 - 1) * a[n] * PL̃₃)
+                𝐔₁₁[n, n] = -1im / sc * A[n]^2 * UL̃₁
+                𝐔₂₂[n, n] = -1im / sc * A[n]^2 * (UL̃₂ + (sc^2 - 1) * a[n] * UL̃₃)
+            end
+        end
+    end
+
+    return 𝐏, 𝐔
+end
+
+# ── Two-step public API: `prepare_sh` then `transition_matrix(prep, λ, mᵣ)` ───
+"""
+    ShPreparation
+
+Precomputed shape-only moment tables for the Sh-matrix moment-separation method,
+returned by [`prepare_sh`](@ref). Holds the moments for every azimuthal index
+`m = 0:nmax`, which depend only on the particle geometry — not on the wavelength
+or refractive index — so a single preparation feeds an arbitrarily long sweep of
+`transition_matrix(prep, λ, mᵣ)` evaluations cheaply.
+
+The `stable` field records whether the analytic `𝐔` stabilization is valid: it
+is `true` only for spheroids, whose negative-`r`-power moments vanish (computed
+at high precision they contribute ≈0, removing the irregular-product
+cancellation). For other axisymmetric shapes the moment machinery and `𝐏` are
+still correct, but the `𝐔` reconstruction is not stabilized.
+"""
+struct ShPreparation{ST, MT, CF}
+    shape::ST
+    nmax::Int
+    Ng::Int
+    B::Int
+    moments::MT
+    coeffs::CF
+    stable::Bool
+end
+
+"""
+    prepare_sh(shape, nmax, Ng; B, momtype, store) -> ShPreparation
+
+Precompute the Sh-matrix shape-only moment tables for `shape` up to order `nmax`
+with `Ng` Gauss–Legendre points. The result is reused across many
+`transition_matrix(prep, λ, mᵣ)` calls (a wavelength / refractive-index sweep)
+at the cost of only a cheap coefficient×moment sum each.
+
+Keyword arguments:
+
+- `B`: number of radial power-series terms per Riccati–Bessel function. It sets
+  the largest size parameter the reconstruction resolves (the series, like the
+  `F⁺` evaluation, needs more terms as `k·rₘₐₓ·|mᵣ|` grows); it is fixed at
+  preparation time because it determines the moment band. Default `max(30,
+  nmax+15)`.
+- `momtype`: precision used to accumulate the moments. The default (`nothing`)
+  selects automatically: for a `Spheroid` the negative-power moments vanish
+  analytically (the `F⁺` result), so they are set to zero and the whole
+  precompute runs in the shape's hardware precision — orders of magnitude faster
+  and with no `BigFloat` dependency, at the same accuracy as `stable=true`. For
+  other shapes (whose negative-power moments do not vanish) it falls back to
+  `BigFloat` so the cancellation is resolved numerically. Pass `momtype=BigFloat`
+  explicitly to force the high-precision path for a spheroid too (slower, and
+  bit-for-bit closer to the full-precision moments in the highest-order, smallest
+  `𝐓` entries).
+- `store`: element type the moments are stored as (default the shape's real
+  type); reconstruction runs in this precision.
+
+The analytic `𝐔` stabilization is enabled only for `Spheroid` (see
+[`ShPreparation`](@ref)).
+"""
+function prepare_sh(shape::AbstractAxisymmetricShape{T}, nmax::Integer, Ng::Integer;
+        B::Integer = max(30, nmax + 15), momtype::Union{Nothing, Type} = nothing,
+        store::Type = T) where {T}
+    # Only the symmetry shortcut (folding the quadrature to Ng ÷ 2 for shapes with
+    # an equatorial symmetry plane) requires an even Ng; see `_sh_geometry`.
+    if has_symmetric_plane(shape)
+        @assert iseven(Ng) "Ng must be even!"
+    end
+    qlo, qhi = _sh_qband(nmax, B)
+
+    # For a spheroid the negative-r-power moments vanish analytically (the F⁺
+    # result), so they can be set to zero and the whole precompute run in fast
+    # hardware precision; only the well-conditioned q ≥ -1 moments are integrated.
+    # Other shapes (and an explicit high-precision `momtype`) keep the robust
+    # high-precision path that resolves the cancellation numerically.
+    vanish = shape isa Spheroid
+    mt = momtype === nothing ? (vanish ? T : BigFloat) : momtype
+    vanish_negative = vanish && (mt <: Base.IEEEFloat)
+
+    geom = _sh_geometry(shape, Ng, qlo, qhi; momtype = mt, store)
+    moments = [_sh_moments_m(geom, m, nmax; store, vanish_negative) for m in 0:nmax]
+    coeffs = _sh_coeff_tables(nmax, B, store)
+    return ShPreparation(shape, Int(nmax), Int(Ng), Int(B), moments, coeffs, vanish)
+end
+
+"""
+    transition_matrix(prep::ShPreparation, λ, mᵣ) -> AxisymmetricTransitionMatrix
+    transition_matrix(prep::ShPreparation, λ)      # uses the prepared shape's mᵣ
+
+Assemble the full T-matrix at wavelength `λ` and relative refractive index `mᵣ`
+from a [`prepare_sh`](@ref) preparation, reconstructing every `m`-block from the
+precomputed moments. This is the cheap inner call of a parameter sweep; the
+expensive geometry quadrature was done once in `prepare_sh`.
+"""
+function transition_matrix(prep::ShPreparation, λ::Real, mᵣ::Number)
+    nmax = prep.nmax
+    R = promote_type(eltype(prep.moments[1].Mτd), typeof(float(λ)),
+        typeof(float(real(mᵣ))))
+    CT = Complex{R}
+    k = 2R(π) / R(λ)
+    s = CT(mᵣ)
+    coeffs = prep.coeffs
+
+    𝐓 = Vector{Matrix{CT}}(undef, nmax + 1)
+    𝐏, 𝐔 = _sh_matrices_m₀(prep.moments[1], coeffs, k, s, nmax, CT)
+    𝐓[1] = 𝐓_from_𝐏_and_𝐔(𝐏, 𝐔)
+    for m in 1:nmax
+        𝐏ₘ, 𝐔ₘ = _sh_matrices_m(prep.moments[m + 1], coeffs, m, k, s, nmax, CT)
+        𝐓[m + 1] = 𝐓_from_𝐏_and_𝐔(𝐏ₘ, 𝐔ₘ)
+    end
+
+    return AxisymmetricTransitionMatrix{CT, nmax, typeof(𝐓), R}(𝐓)
+end
+
+transition_matrix(prep::ShPreparation, λ::Real) = transition_matrix(prep, λ, prep.shape.m)
+
+"""
+    transition_matrix_spectrum(prep::ShPreparation, λs, mᵣs) -> Vector
+
+Reconstruct a T-matrix at each `(λ, mᵣ)` pair, reusing the prepared moments. If
+`mᵣs` is a single number it is held fixed across all `λs`; otherwise `λs` and
+`mᵣs` are iterated together (and must have equal length). Pass a dispersion
+table as `mᵣs` to sweep a material with wavelength-dependent index.
+"""
+function transition_matrix_spectrum(prep::ShPreparation, λs, mᵣs)
+    if mᵣs isa Number
+        ms = Iterators.repeated(mᵣs, length(λs))
+    else
+        length(mᵣs) == length(λs) || throw(ArgumentError(
+            "transition_matrix_spectrum: length(mᵣs) = $(length(mᵣs)) does not match \
+             length(λs) = $(length(λs))"))
+        ms = mᵣs
+    end
+    return [transition_matrix(prep, λ, m) for (λ, m) in zip(λs, ms)]
+end
+
+@testitem "Sh-matrix reproduces the ebcm P and U blocks (m=0 and m>0)" begin
+    using TransitionMatrices: Spheroid, ebcm_matrices_m₀, ebcm_matrices_m,
+                              _sh_geometry, _sh_moments_m, _sh_matrices_m₀,
+                              _sh_matrices_m, _sh_qband, _sh_coeff_tables
+
+    relmax(A,
+        B;
+        tol = 1e-10) = maximum(
+        (abs(B[i, j]) < tol ? 0.0 : abs(A[i, j] - B[i, j]) / abs(B[i, j])
+        for i in axes(A, 1), j in axes(A, 2)); init = 0.0)
+
+    a, c, λ, sm = 2.0, 1.0, 2π, 1.5 + 0.02im
+    nmax, Ng, B = 6, 120, 26
+    shape = Spheroid{Float64, ComplexF64}(a, c, sm)
+    k = 2π / λ
+    qlo, qhi = _sh_qband(nmax, B)
+    coeffs = _sh_coeff_tables(nmax, B, Float64)
+    geom = _sh_geometry(shape, Ng, qlo, qhi)
+
+    mom0 = _sh_moments_m(geom, 0, nmax)
+    Psh, Ush = _sh_matrices_m₀(mom0, coeffs, k, sm, nmax, ComplexF64)
+    Pref, Uref = ebcm_matrices_m₀(shape, λ, nmax, Ng)
+    @test relmax(Psh, Pref) < 1e-9
+    @test relmax(Ush, Uref) < 1e-7
+
+    for m in 1:4
+        mom = _sh_moments_m(geom, m, nmax)
+        Pm, Um = _sh_matrices_m(mom, coeffs, m, k, sm, nmax, ComplexF64)
+        Pr, Ur = ebcm_matrices_m(m, shape, λ, nmax, Ng)
+        @test relmax(Pm, Pr) < 1e-9
+        @test relmax(Um, Ur) < 1e-7
+    end
+end
+
+@testitem "Sh-matrix transition_matrix reproduces the package T and cross sections" begin
+    using TransitionMatrices: Spheroid, prepare_sh, transition_matrix, calc_Csca, calc_Cext
+
+    # Moderate aspect-2 spheroid: full T must match the standard assembly.
+    sh = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    nmax, Ng, λ = 8, 160, 2π
+    Tpkg = transition_matrix(sh, λ, nmax, Ng)
+    prep = prepare_sh(sh, nmax, Ng; B = 28)
+    Tsh = transition_matrix(prep, λ)
+    @test prep.stable
+    @test calc_Csca(Tsh) ≈ calc_Csca(Tpkg) rtol = 1e-9
+    @test calc_Cext(Tsh) ≈ calc_Cext(Tpkg) rtol = 1e-9
+
+    # High-aspect prolate: matches the stabilized (F⁺) path where the standard
+    # Float64 assembly loses precision.
+    shp = Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)
+    nmax2, Ng2 = 22, 360
+    Tstab = transition_matrix(shp, λ, nmax2, Ng2; stable = true)
+    prep2 = prepare_sh(shp, nmax2, Ng2; B = 42)
+    Tsh2 = transition_matrix(prep2, λ)
+    @test calc_Csca(Tsh2) ≈ calc_Csca(Tstab) rtol = 1e-6
+end
+
+@testitem "Sh-matrix spectrum sweep matches per-point assembly" begin
+    using TransitionMatrices: Spheroid, prepare_sh, transition_matrix,
+                              transition_matrix_spectrum, calc_Csca
+
+    sh = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+    nmax, Ng = 8, 160
+    prep = prepare_sh(sh, nmax, Ng; B = 28)
+
+    λs = [2π, 2.3π, 2.6π]
+    ms = [1.5 + 0.02im, 1.52 + 0.02im, 1.55 + 0.03im]
+    Ts = transition_matrix_spectrum(prep, λs, ms)
+    @test length(Ts) == length(λs)
+    for (Ti, λi, mi) in zip(Ts, λs, ms)
+        Tp = transition_matrix(Spheroid{Float64, ComplexF64}(2.0, 1.0, mi), λi, nmax, Ng)
+        @test calc_Csca(Ti) ≈ calc_Csca(Tp) rtol = 1e-9
+    end
+
+    # A scalar refractive index is held fixed across the whole sweep.
+    Tsf = transition_matrix_spectrum(prep, λs, sh.m)
+    @test length(Tsf) == length(λs)
+    @test calc_Csca(Tsf[1]) ≈ calc_Csca(transition_matrix(prep, λs[1], sh.m)) rtol = 1e-12
+end
+
+@testitem "Sh-matrix reconstructs non-spheroid shapes (cylinder, Chebyshev)" begin
+    using TransitionMatrices: Cylinder, Chebyshev, ebcm_matrices_m₀, _sh_geometry,
+                              _sh_moments_m, _sh_matrices_m₀, _sh_qband, _sh_coeff_tables,
+                              prepare_sh, transition_matrix, calc_Csca, calc_Cext
+
+    relmax(A,
+        B;
+        tol = 1e-10) = maximum(
+        (abs(B[i, j]) < tol ? 0.0 : abs(A[i, j] - B[i, j]) / abs(B[i, j])
+        for i in axes(A, 1), j in axes(A, 2)); init = 0.0)
+
+    λ, nmax, Ng, B = 2π, 8, 160, 26
+    k = 2π / λ
+    qlo, qhi = _sh_qband(nmax, B)
+    coeffs = _sh_coeff_tables(nmax, B, Float64)
+
+    @testset "$name" for (name, s) in (
+        ("cylinder", Cylinder{Float64, ComplexF64}(1.0, 2.0, 1.5 + 0.02im)),
+        ("chebyshev", Chebyshev{Float64, ComplexF64}(1.0, 0.1, 4, 1.5 + 0.02im)))
+        # The analytic-zeroing fast path is spheroid-only; non-spheroids use the
+        # high-precision moment path. Both P and U still reconstruct correctly at
+        # moderate size (the χ negative-power moments are physical, not vanishing).
+        prep = prepare_sh(s, nmax, Ng; B)
+        @test prep.stable == false
+
+        geom = _sh_geometry(s, Ng, qlo, qhi; momtype = BigFloat, store = Float64)
+        mom = _sh_moments_m(geom, 0, nmax)
+        Psh, Ush = _sh_matrices_m₀(mom, coeffs, k, s.m, nmax, ComplexF64)
+        Pref, Uref = ebcm_matrices_m₀(s, λ, nmax, Ng)
+        @test relmax(Psh, Pref) < 1e-10
+        @test relmax(Ush, Uref) < 1e-10
+
+        Tsh = transition_matrix(prep, λ)
+        Tcl = transition_matrix(s, λ, nmax, Ng)
+        @test calc_Csca(Tsh) ≈ calc_Csca(Tcl) rtol = 1e-9
+        @test calc_Cext(Tsh) ≈ calc_Cext(Tcl) rtol = 1e-9
+    end
+end
diff --git a/src/EBCM/stabilization.jl b/src/EBCM/stabilization.jl
new file mode 100644
index 0000000..bdd5308
--- /dev/null
+++ b/src/EBCM/stabilization.jl
@@ -0,0 +1,531 @@
+# ── Numerically stable EBCM integrands for spheroids (Somerville/Le Ru) ──────
+#
+# The EBCM `U`-matrix integrands contain products χ_n(x)·ψ_k(sx) of an
+# irregular Riccati–Bessel function χ_n (which behaves like x^{-n} for small x)
+# and a regular one ψ_k. For a spheroid, the negative-power part of their
+# Laurent expansion integrates *exactly* to zero, but evaluated directly it
+# dominates the integrand by many orders of magnitude and destroys precision in
+# `Float64` (Somerville, Auguié & Le Ru, JQSRT 113:524 (2012)).
+#
+# The fix (Somerville et al., JQSRT 123:153 (2013)) replaces χ_n(x)·ψ_k(sx) by
+# F⁺_{nk}(s,x)/x, where (their Eq. 45)
+#
+#     F_{nk}(s,x)  = x · χ_n(x) · ψ_k(sx),
+#     F⁺_{nk}(s,x) = P⁺[F_{nk}]   (the part with non-negative powers of x),
+#
+# computed directly from the power series so the cancelling negative powers are
+# never formed (their Eq. 46 and §4.1).
+#
+# Power series (DLMF 10.53.1/10.53.2). This package uses ψ_k = z·j_k and the
+# convention χ_n = z·y_n (NO minus sign; see `ricattibessely`):
+#
+#     ψ_k(z) = Σ_{b≥0} β_{k,b} z^{k+1+2b},  β_{k,b} = (-1)^b / (2^b b! (2k+2b+1)!!)
+#     χ_n(z) = Σ_{a≥0} γ_{n,a} z^{2a-n},
+#         γ_{n,a} = -(2n-2a-1)!! / (2^a a!)                      (a ≤ n)
+#         γ_{n,a} = (-1)^{n+a+1} / (2^a a! (2a-2n-1)!!)          (a ≥ n+1)
+#
+# Hence F_{nk}(s,x) = Σ_{q≥0} c_{nk,q}(s) x^{2q+k-n+2}, with
+#
+#     c_{nk,q}(s) = Σ_{a=0}^{q} γ_{n,a} β_{k,q-a} s^{k+1+2(q-a)},
+#
+# and F⁺ keeps q ≥ qmin = max(0, (n-k-2)÷2) (the blocks needed have n+k even, so
+# n-k-2 is even). The leading coefficients c_{nk,q} themselves suffer
+# catastrophic cancellation (γ_{n,0} = (2n-1)!! is enormous and the β alternate
+# in sign), so they are accumulated in high-precision `BigFloat` once; the
+# resulting F⁺ is a well-behaved series that is cheap and safe to evaluate in
+# the requested floating-point type.
+#
+# `_F⁺_matrix` assembles the whole F⁺ matrix stably for all x (series-seeded
+# recursion, §4.2); `transition_matrix(…; stable=true)` uses it to rebuild the
+# spheroid `𝐔`-matrix integrands for both m=0 and m>0.
+
+"""
+    _odd_dfact(m) -> BigInt
+
+Odd double factorial `m!!` for odd `m ≥ -1`, with the convention `(-1)!! = 1`.
+"""
+function _odd_dfact(m::Integer)
+    isodd(m) || throw(ArgumentError("_odd_dfact expects an odd integer, got $m"))
+    m ≥ -1 || throw(ArgumentError("_odd_dfact expects m ≥ -1, got $m"))
+    r = BigInt(1)
+    j = BigInt(m)
+    while j > 1
+        r *= j
+        j -= 2
+    end
+    return r
+end
+
+"""
+    _γ(n, a) -> Rational{BigInt}
+
+`γ_{n,a}`: coefficient of `z^{2a-n}` in the series of `χ_n(z) = -z y_n(z)`
+(DLMF 10.53.2).
+"""
+function _γ(n::Integer, a::Integer)
+    # This package uses χ_n(z) = z·y_n(z) (NO minus sign; see `ricattibessely`),
+    # which is the negative of the DLMF/Mishchenko χ = -z·y_n. Hence
+    #   χ_n(z) = (-1)^{n+1} Σ_a (-1)^a z^{2a-n} / (2^a a! (2a-2n-1)!!),
+    # with the negative odd double-factorial convention folded into the two
+    # branches below (a ≤ n: singular/principal part, a ≥ n+1: regular tail).
+    den = (BigInt(2)^a) * Base.factorial(big(a))   # Base: the package overrides `factorial`
+    if a ≤ n
+        return -_odd_dfact(2n - 2a - 1) // den
+    else
+        sgn = iseven(n + a) ? big(-1) : big(1)
+        return sgn // (den * _odd_dfact(2a - 2n - 1))
+    end
+end
+
+"""
+    _β(k, b) -> Rational{BigInt}
+
+`β_{k,b}`: coefficient of `z^{k+1+2b}` in the series of `ψ_k(z) = z j_k(z)`
+(DLMF 10.53.1).
+"""
+function _β(k::Integer, b::Integer)
+    sgn = iseven(b) ? big(1) : big(-1)
+    den = (BigInt(2)^b) * Base.factorial(big(b)) * _odd_dfact(2k + 2b + 1)
+    return sgn // den
+end
+
+"""
+    _F⁺_coeffs(n, k, s; nterms, prec) -> (qmin, coeffs)
+
+High-precision coefficients of `F⁺_{nk}(s,x) = Σ c_q x^{2q+k-n+2}` for
+`q = qmin, …, qmin+nterms-1`, returned as a `Vector{Complex{BigFloat}}`.
+`s` is the (generally complex) relative refractive index. The sum defining each
+`c_q` is accumulated in `BigFloat` at precision `prec` bits to defeat the
+`(2n-1)!!`-scale cancellation. This `BigFloat` accumulation also subsumes the
+additional `s≈1` cancellation that Somerville et al. 2013 handle analytically in
+their Appendix B (the leading coefficients vanish at `s=1`): the base precision
+has many digits of margin for it, so no special treatment is needed — the s≈1
+accuracy floor of the stabilized assembly is instead the `Float64` round-off in
+`_eval_F⁺`, which extra coefficient precision cannot remove.
+"""
+function _F⁺_coeffs(n::Integer, k::Integer, s::Number; nterms::Integer = 48,
+        prec::Integer = max(256, 12n + 128))
+    qmin = max(0, (n - k - 2) ÷ 2)
+    qmax = qmin + nterms - 1
+    coeffs = Vector{Complex{BigFloat}}(undef, nterms)
+    setprecision(BigFloat, prec) do
+        sb = Complex{BigFloat}(s)
+        γ = [BigFloat(_γ(n, a)) for a in 0:qmax]
+        β = [BigFloat(_β(k, b)) for b in 0:qmax]
+        spow = [sb^(k + 1 + 2j) for j in 0:qmax]   # s^{k+1+2(q-a)}, indexed by (q-a)
+        for (idx, q) in enumerate(qmin:qmax)
+            acc = zero(Complex{BigFloat})
+            for a in 0:q
+                acc += γ[a + 1] * β[q - a + 1] * spow[q - a + 1]
+            end
+            coeffs[idx] = acc
+        end
+    end
+    return qmin, coeffs
+end
+
+"""
+    _eval_F⁺(qmin, coeffs, n, k, x::T) -> Complex{T}
+
+Evaluate `F⁺_{nk}(s,x) = Σ_q c_q x^{2q+k-n+2}` at `x` in floating type `T`,
+converting the high-precision `coeffs` to `Complex{T}` first.
+
+The terms `c_q x^{2q+…}` first grow then decay; the sum is truncated once it has
+started to decay and a term is negligible relative to the running total
+(Somerville et al. 2013, §4.1). This both avoids summing past convergence and,
+crucially, prevents the monomial `xp = x^{2q+…}` from overflowing to `Inf`/`NaN`
+for large `x` (it would reach `x^{2·length(coeffs)}`). The series is only well
+conditioned in `Float64` when the order `n` exceeds the argument `x`; in that
+regime convergence is reached long before `xp` overflows.
+"""
+function _eval_F⁺(qmin::Integer, coeffs::AbstractVector{<:Complex}, n::Integer,
+        k::Integer, x::T) where {T <: Real}
+    p0 = 2qmin + k - n + 2
+    x2 = x * x
+    xp = x^p0
+    val = zero(Complex{T})
+    tol = eps(T)
+    prevmag = T(Inf)
+    decaying = false
+    @inbounds for idx in eachindex(coeffs)
+        isfinite(xp) || break
+        term = Complex{T}(coeffs[idx]) * xp
+        val += term
+        tmag = abs(term)
+        decaying |= tmag < prevmag
+        if decaying && tmag ≤ tol * abs(val)
+            break
+        end
+        prevmag = tmag
+        xp *= x2
+    end
+    return val
+end
+
+"""
+    F⁺(n, k, s, x; nterms, prec) -> Complex
+
+Numerically stable `F⁺_{nk}(s,x)` (Somerville et al. 2013, Eq. 45–46),
+evaluated in the precision of `x`. `F⁺/x` is the cancellation-free replacement
+for `χ_n(x)·ψ_k(sx)` in the spheroid EBCM `U`-matrix integrand.
+"""
+function F⁺(n::Integer, k::Integer, s::Number, x::T;
+        nterms::Integer = max(24, ceil(Int, 2 * abs(s) * x + 16)),
+        prec::Integer = max(256, 12n + 128)) where {T <: Real}
+    qmin, coeffs = _F⁺_coeffs(n, k, s; nterms, prec)
+    return _eval_F⁺(qmin, coeffs, n, k, x)
+end
+
+# ── Cancellation-free "modified" Bessel products via F⁺ (Somerville 2013) ─────
+# Each returns the P⁺ (non-negative-power) part of a product appearing in the
+# spheroid EBCM U-matrix integrand, assembled from F⁺ at shifted indices through
+# the Riccati–Bessel recurrences (their Eqs. 57–62). All carry the leading `x`
+# factor, like `F⁺` itself. For small enough n−k these equal the full products
+# (no negative powers), which the tests exploit for validation.
+
+"""
+    _xχψ′⁺(n, k, s, x) -> Complex
+
+`[x·χ_n(x)·ψ′_k(sx)]⁺` (Somerville 2013, Eq. 59), from
+`(2k+1)ψ′_k(sx) = (k+1)ψ_{k-1}(sx) − k ψ_{k+1}(sx)`.
+"""
+function _xχψ′⁺(n, k, s, x; kw...)
+    ((k + 1) * F⁺(n, k - 1, s, x; kw...) - k * F⁺(n, k + 1, s, x; kw...)) / (2k + 1)
+end
+
+"""
+    _xχ′ψ⁺(n, k, s, x) -> Complex
+
+`[x·χ′_n(x)·ψ_k(sx)]⁺` (Somerville 2013, Eq. 60), from
+`(2n+1)χ′_n(x) = (n+1)χ_{n-1}(x) − n χ_{n+1}(x)`.
+"""
+function _xχ′ψ⁺(n, k, s, x; kw...)
+    ((n + 1) * F⁺(n - 1, k, s, x; kw...) - n * F⁺(n + 1, k, s, x; kw...)) / (2n + 1)
+end
+
+"""
+    _L⁷⁺(n, k, s, x) -> Complex
+
+`[x·(χ′_n ψ′_k + n(n+1) χ_n ψ_k /(s x²))]⁺` (Somerville 2013, Eq. 62) — the
+cancellation-free radial factor of the `L⁷` integrand.
+"""
+function _L⁷⁺(n, k, s, x; kw...)
+    Fmm = F⁺(n - 1, k - 1, s, x; kw...)
+    Fpp = F⁺(n + 1, k + 1, s, x; kw...)
+    Fmp = F⁺(n - 1, k + 1, s, x; kw...)
+    Fpm = F⁺(n + 1, k - 1, s, x; kw...)
+    return ((n + k + 1) * ((n + 1) * Fmm + n * Fpp) +
+            (n - k) * ((n + 1) * Fmp + n * Fpm)) / ((2n + 1) * (2k + 1))
+end
+
+"""
+    _L⁸⁺(n, k, s, x) -> Complex
+
+`[x·(χ′_n ψ′_k + k(k+1) χ_n ψ_k /(s x²))]⁺` (Somerville 2013, Eq. 61) — the
+cancellation-free radial factor of the `L⁸` integrand.
+"""
+function _L⁸⁺(n, k, s, x; kw...)
+    Fmm = F⁺(n - 1, k - 1, s, x; kw...)
+    Fpp = F⁺(n + 1, k + 1, s, x; kw...)
+    Fmp = F⁺(n - 1, k + 1, s, x; kw...)
+    Fpm = F⁺(n + 1, k - 1, s, x; kw...)
+    return ((n + k + 1) * ((k + 1) * Fmm + k * Fpp) +
+            (k - n) * ((k + 1) * Fpm + k * Fmp)) / ((2n + 1) * (2k + 1))
+end
+
+"""
+    _F⁺_lastrow(s, N, xmax; prec, nterms) -> Vector
+
+Precompute the *x-independent* power-series coefficients of the F⁺-matrix last row
+`n = N+1` (the entries with `n-k ≥ 4`, `n+k` even, that seed the recursion). These
+are the only expensive (`BigFloat`) part of `_F⁺_matrix`, so computing them once
+and passing them to every per-quadrature-point `_F⁺_matrix` call removes the
+dominant cost of the stabilized assembly. `nterms` is sized for the *largest*
+argument `xmax = k·rₘₐₓ` that will be evaluated (`_eval_F⁺` truncates adaptively
+for smaller `x`). Element `k+1` holds `(qmin, coeffs)`, or `nothing` where unused.
+"""
+function _F⁺_lastrow(s::Number, N::Integer, xmax::Real;
+        prec::Integer = max(256, 12 * (N + 1) + 128),
+        nterms::Integer = max(48, ceil(Int, 2 * abs(s) * xmax + 40)))
+    M = N + 1
+    lastrow = Vector{Union{Nothing, Tuple{Int, Vector{Complex{BigFloat}}}}}(nothing,
+        M + 1)
+    for k in 0:(M - 4)
+        iseven(M + k) || continue
+        lastrow[k + 1] = _F⁺_coeffs(M, k, s; nterms, prec)
+    end
+    return lastrow
+end
+
+@doc raw"""
+    _F⁺_matrix(s, x, N; prec, nterms, lastrow) -> Matrix{Complex{T}}
+
+Stably evaluate the whole matrix of `F⁺_{nk}(s,x)` for `0 ≤ n,k ≤ N+1`, returned
+with a 1-based offset (`F[n+1, k+1]` holds `F⁺_{nk}`). Only `n+k`-even entries are
+filled; the rest stay zero (they are only needed for `m>0`).
+
+The bare power series is well conditioned in `Float64` *only* where the order
+exceeds the argument, so it cannot be used alone for the small-`n`/large-`x`
+corner. This routine combines the three regimes of Somerville, Auguié & Le Ru,
+JQSRT 123 (2013) §4.2, so the result is accurate for all `x`:
+
+  * `n ≤ k+2` — `F⁺ = F = x·χ_n(x)·ψ_k(sx)`, the direct Riccati–Bessel product
+    (no negative powers ⇒ no cancellation, stable for all `x`);
+  * last row `n = N+1`, deep entries `n-k ≥ 4` — the power series (Eq. 46), which
+    is accurate because `N` is taken large enough that `N+1 ≫ x`;
+  * `n ≥ k+4` — the stable recursion (Eq. 51, scheme (c) of their Fig. 3), filled
+    along diagonals `j = n-k = 4, 6, …` from high `n` down, seeded by the last row
+    and the `n = k+2` sub-diagonal:
+
+    ```math
+    F^+_{n,k} = \frac{2k+3}{s(2n+1)}\,(F^+_{n+1,k+1} + F^+_{n-1,k+1}) - F^+_{n,k+2}.
+    ```
+
+`N` must satisfy roughly `N+1 ≳ x + 15` for the last-row seed (and hence the whole
+bottom-left block) to be accurate; this is comparable to the multipole order
+needed for convergence anyway.
+"""
+function _F⁺_matrix(s::Number, x::T, N::Integer;
+        prec::Integer = max(256, 12 * (N + 1) + 128),
+        nterms::Integer = max(48, ceil(Int, 2 * abs(s) * x + 40)),
+        lastrow = nothing) where {T <: Real}
+    CT = Complex{T}
+    M = N + 1
+    # x-independent last-row series coefficients (precompute once across points).
+    lastrow === nothing && (lastrow = _F⁺_lastrow(s, N, x; prec, nterms))
+    F = zeros(CT, M + 1, M + 1)          # F[n+1, k+1] = F⁺_{nk},  n,k ∈ 0:M
+    at(n, k) = @inbounds F[n + 1, k + 1]
+
+    # Riccati–Bessel functions at this point, indexed 0:M.
+    sx = s * x
+    χ1, _ = ricattibessely(M, x)
+    nex = estimate_ricattibesselj_extra_terms(M, abs(s) * x)
+    ψ1, _ = ricattibesselj(M, nex, sx)
+    χv = Vector{T}(undef, M + 1)
+    ψv = Vector{CT}(undef, M + 1)
+    χv[1] = -cos(x)                      # χ_0(x) = x·y_0(x) = -cos x
+    ψv[1] = sin(sx)                      # ψ_0(z) = z·j_0(z) = sin z
+    @inbounds for n in 1:M
+        χv[n + 1] = χ1[n]
+        ψv[n + 1] = ψ1[n]
+    end
+
+    # (1) direct products for n ≤ k+2 (covers all entries with no cancellation).
+    @inbounds for k in 0:M, n in 0:min(k + 2, M)
+
+        iseven(n + k) || continue
+        F[n + 1, k + 1] = x * χv[n + 1] * ψv[k + 1]
+    end
+
+    # (2) last row n = M (= N+1), only the deep entries n-k ≥ 4 (the shallow part
+    #     of the last row is already filled by the direct products above).
+    @inbounds for k in 0:(M - 4)
+        iseven(M + k) || continue
+        qmin, coeffs = lastrow[k + 1]
+        F[M + 1, k + 1] = _eval_F⁺(qmin, coeffs, M, k, x)
+    end
+
+    # (3) stable recursion (Eq. 51, scheme c): diagonals j = 4, 6, … filled from
+    #     high n down; each entry uses the same-diagonal entry at n+1 and the j-2
+    #     diagonal at (n-1,k+1) and (n,k+2), all already known.
+    @inbounds for j in 4:2:M
+        for n in (M - 1):-1:j
+            k = n - j
+            F[n + 1, k + 1] = (2k + 3) / (s * (2n + 1)) *
+                              (at(n + 1, k + 1) + at(n - 1, k + 1)) - at(n, k + 2)
+        end
+    end
+
+    return F
+end
+
+# ── Modified products read from a precomputed `_F⁺_matrix` ────────────────────
+# The bare `_xχψ′⁺`/`_L⁷⁺`/… above call `F⁺` (the small-x-only series) directly
+# and are kept for testing. Production assembly uses these matrix-backed variants
+# instead, fed by `_F⁺_matrix`, which is stable for all x. `F` is the offset
+# matrix returned by `_F⁺_matrix` (`F[n+1,k+1] = F⁺_{nk}`).
+@inline _Fp(F, n, k) = @inbounds F[n + 1, k + 1]
+
+"`[x·χ_n·ψ′_k]⁺` (Somerville et al., JQSRT 123 (2013), Eq. 59) from a precomputed F⁺ matrix."
+_xχψ′⁺_mat(F, n, k) = ((k + 1) * _Fp(F, n, k - 1) - k * _Fp(F, n, k + 1)) / (2k + 1)
+
+"`[x·χ′_n·ψ_k]⁺` (Somerville et al., JQSRT 123 (2013), Eq. 60) from a precomputed F⁺ matrix."
+_xχ′ψ⁺_mat(F, n, k) = ((n + 1) * _Fp(F, n - 1, k) - n * _Fp(F, n + 1, k)) / (2n + 1)
+
+"L⁷ radial factor (Somerville et al., JQSRT 123 (2013), Eq. 62) from a precomputed F⁺ matrix."
+function _L⁷⁺_mat(F, n, k)
+    Fmm = _Fp(F, n - 1, k - 1);
+    Fpp = _Fp(F, n + 1, k + 1)
+    Fmp = _Fp(F, n - 1, k + 1);
+    Fpm = _Fp(F, n + 1, k - 1)
+    return ((n + k + 1) * ((n + 1) * Fmm + n * Fpp) +
+            (n - k) * ((n + 1) * Fmp + n * Fpm)) / ((2n + 1) * (2k + 1))
+end
+
+"L⁸ radial factor (Somerville et al., JQSRT 123 (2013), Eq. 61) from a precomputed F⁺ matrix."
+function _L⁸⁺_mat(F, n, k)
+    Fmm = _Fp(F, n - 1, k - 1);
+    Fpp = _Fp(F, n + 1, k + 1)
+    Fmp = _Fp(F, n - 1, k + 1);
+    Fpm = _Fp(F, n + 1, k - 1)
+    return ((n + k + 1) * ((k + 1) * Fmm + k * Fpp) +
+            (k - n) * ((k + 1) * Fpm + k * Fmp)) / ((2n + 1) * (2k + 1))
+end
+
+@testitem "_F⁺_matrix is stable across x (series-seeded Eq.51 recursion)" begin
+    using TransitionMatrices: _F⁺_matrix, _F⁺_coeffs, _eval_F⁺
+    s = 1.5 + 0.02im
+    # The bare series fails for small n / large x; the matrix builder must stay
+    # accurate over the whole bottom-left (cancellation) block n ≥ k+4 for every x.
+    for x in (0.5, 8.0, 16.0, 35.0)
+        N = max(20, ceil(Int, x) + 18)          # N+1 ≳ x+15 for the last-row seed
+        F = _F⁺_matrix(s, x, N)
+        nt = max(60, ceil(Int, 2 * abs(s) * x + 50))
+        maxrel = 0.0
+        for n in 4:N, k in 0:(n - 4)
+
+            iseven(n + k) || continue
+            vbig = setprecision(BigFloat, 600) do
+                qmin, co = _F⁺_coeffs(n, k, s; nterms = nt, prec = 600)
+                _eval_F⁺(qmin, co, n, k, BigFloat(x))
+            end
+            ab = abs(ComplexF64(vbig))
+            ab < 1e-285 && continue
+            maxrel = max(maxrel,
+                abs(ComplexF64(F[n + 1, k + 1]) - ComplexF64(vbig)) / ab)
+        end
+        @test maxrel < 1e-9
+    end
+end
+
+@testitem "F⁺ matches the Bessel product where no negative powers exist (n ≤ k+2)" begin
+    using TransitionMatrices: F⁺, ricattibesselj, ricattibessely,
+                              estimate_ricattibesselj_extra_terms
+    setprecision(BigFloat, 320) do
+        s = Complex{BigFloat}(1.5, 0.02)
+        for x in BigFloat.((0.3, 1.0, 2.5)),
+            (n, k) in ((1, 1), (2, 2), (1, 3), (3, 5),
+                (4, 4), (2, 4))
+            # n ≤ k+2  ⇒  F⁺ = F = x·χ_n(x)·ψ_k(s·x) (the full product, no truncation)
+            @assert n ≤ k + 2
+            # request ≥ 2 orders: ricattibessely! unconditionally writes χ[2].
+            χ, _ = ricattibessely(max(n, 2), x)
+            nextra = estimate_ricattibesselj_extra_terms(max(k, 2), abs(s) * x)
+            ψ, _ = ricattibesselj(max(k, 2), nextra, s * x)
+            ref = x * χ[n] * ψ[k]
+            got = F⁺(n, k, s, x; nterms = 80)
+            @test isapprox(got, ref; rtol = 1e-25, atol = 1e-25)
+        end
+    end
+end
+
+@testitem "F⁺ satisfies the Somerville recurrence Eq. 51" begin
+    using TransitionMatrices: F⁺
+    # F⁺_{n+1,k} + F⁺_{n-1,k} = s (2n+1)/(2k+1) (F⁺_{n,k+1} + F⁺_{n,k-1})
+    setprecision(BigFloat, 512) do
+        s = Complex{BigFloat}(1.5, 0.02)
+        for x in BigFloat.((0.1, 0.5, 2.0)), (n, k) in ((8, 3), (10, 2), (12, 6), (15, 4))
+
+            nt = 80
+            lhs = F⁺(n + 1, k, s, x; nterms = nt) + F⁺(n - 1, k, s, x; nterms = nt)
+            rhs = s * (2n + 1) / (2k + 1) *
+                  (F⁺(n, k + 1, s, x; nterms = nt) + F⁺(n, k - 1, s, x; nterms = nt))
+            @test isapprox(lhs, rhs; rtol = 1e-30, atol = 1e-30)
+        end
+    end
+end
+
+@testitem "F⁺ Float64 evaluation matches BigFloat (no precision loss in the kept series)" begin
+    using TransitionMatrices: _F⁺_coeffs, _eval_F⁺
+    s = ComplexF64(1.5, 0.02)
+    for (n, k) in ((10, 2), (16, 4), (20, 6)), x64 in (0.1, 0.5, 1.0, 2.0)
+
+        qmin, coeffs = _F⁺_coeffs(n, k, s; nterms = 60, prec = 600)
+        v64 = _eval_F⁺(qmin, coeffs, n, k, x64)
+        vbig = _eval_F⁺(qmin, coeffs, n, k, BigFloat(x64))
+        @test isapprox(ComplexF64(vbig), v64; rtol = 1e-12, atol = 1e-300)
+    end
+end
+
+@testitem "Modified Bessel products (Eq. 59-62) match direct products for n ≤ k" begin
+    using TransitionMatrices: _xχψ′⁺, _xχ′ψ⁺, _L⁷⁺, _L⁸⁺, ricattibesselj,
+                              ricattibessely, estimate_ricattibesselj_extra_terms
+    setprecision(BigFloat, 320) do
+        s = Complex{BigFloat}(1.5, 0.02)
+        for x in BigFloat.((0.5, 1.5)),
+            (n, k) in ((1, 1), (2, 2), (3, 3), (1, 3),
+                (2, 4), (3, 5), (2, 5), (4, 6))
+            # n ≤ k ⇒ all four products have only non-negative powers ⇒ ⁺ = full.
+            @assert n ≤ k
+            χ, χ′ = ricattibessely(max(n, 2), x)
+            nextra = estimate_ricattibesselj_extra_terms(max(k, 2), abs(s) * x)
+            ψ, ψ′ = ricattibesselj(max(k, 2), nextra, s * x)
+            nt = 80
+            @test isapprox(_xχψ′⁺(n, k, s, x; nterms = nt), x * χ[n] * ψ′[k];
+                rtol = 1e-22, atol = 1e-22)
+            @test isapprox(_xχ′ψ⁺(n, k, s, x; nterms = nt), x * χ′[n] * ψ[k];
+                rtol = 1e-22, atol = 1e-22)
+            l7 = x * (χ′[n] * ψ′[k] + n * (n + 1) * χ[n] * ψ[k] / (s * x^2))
+            l8 = x * (χ′[n] * ψ′[k] + k * (k + 1) * χ[n] * ψ[k] / (s * x^2))
+            @test isapprox(_L⁷⁺(n, k, s, x; nterms = nt), l7; rtol = 1e-22, atol = 1e-22)
+            @test isapprox(_L⁸⁺(n, k, s, x; nterms = nt), l8; rtol = 1e-22, atol = 1e-22)
+        end
+    end
+end
+
+@testitem "ebcm_matrices_m₀(; stable=true) fixes high-aspect spheroid 𝐔 vs BigFloat" begin
+    using TransitionMatrices: Spheroid, ebcm_matrices_m₀, 𝐓_from_𝐏_and_𝐔
+
+    relmax(A, B) = begin
+        m = 0.0
+        for I in eachindex(B)
+            b = ComplexF64(B[I])
+            abs(b) < 1e-12 && continue
+            m = max(m, abs(ComplexF64(A[I]) - b) / abs(b))
+        end
+        m
+    end
+
+    λ = 2π
+    a, c, N, Ng = 0.3, 5.0, 16, 300       # prolate, aspect ≈ 17: std Float64 𝐔 is hopeless
+    mr = 1.5 + 0.01im
+    sb = Spheroid{BigFloat, Complex{BigFloat}}(big(a), big(c), Complex{BigFloat}(mr))
+    s64 = Spheroid{Float64, ComplexF64}(a, c, ComplexF64(mr))
+
+    Pb, Ub = setprecision(BigFloat, 320) do
+        ebcm_matrices_m₀(sb, big(λ), N, Ng)
+    end
+    Ps, Us = ebcm_matrices_m₀(s64, λ, N, Ng)
+    Pst, Ust = ebcm_matrices_m₀(s64, λ, N, Ng; stable = true)
+
+    @test relmax(Us, Ub) > 1e1            # standard products are catastrophically wrong
+    @test relmax(Ust, Ub) < 1e-6          # the F⁺ matrix recovers full precision
+    @test Pst == Ps                       # `stable` must leave 𝐏 untouched
+
+    Tb = 𝐓_from_𝐏_and_𝐔(ComplexF64.(Pb), ComplexF64.(Ub))
+    @test relmax(𝐓_from_𝐏_and_𝐔(Pst, Ust), Tb) < 1e-5
+end
+
+@testitem "stable=true reproduces Somerville 2013 Table 2 (prolate Qsca/Qext)" begin
+    using TransitionMatrices: Spheroid, transition_matrix, scattering_cross_section,
+                              extinction_cross_section
+
+    # Somerville, Auguié & Le Ru, JQSRT 123 (2013), Table 2 (Model 1 of their
+    # Ref. [35]): prolate, s = 1.55+0.01i, aspect h = 4, xmax = k·c = 10.079368.
+    # Reference (their New DP / AP): Qsca = 3.21290554203156, Qext = 3.36721292620922.
+    c = 10.079368
+    a = c / 4
+    s = Spheroid{Float64, ComplexF64}(a, c, 1.55 + 0.01im)
+
+    # efficiencies are normalised by the equal-surface-area radius (prolate, a<c)
+    e = √(1 - a^2 / c^2)
+    rsurf = √(2 * a^2 * (1 + (c / (a * e)) * asin(e)) / 4)
+    area = π * rsurf^2
+
+    𝐓 = transition_matrix(s, 2π, 32, 400; stable = true)
+    Qsca = scattering_cross_section(𝐓, 2π) / area
+    Qext = extinction_cross_section(𝐓, 2π) / area
+
+    @test isapprox(Qsca, 3.21290554203156; rtol = 1e-6)
+    @test isapprox(Qext, 3.36721292620922; rtol = 1e-6)
+end
diff --git a/src/IITM/arbitrary.jl b/src/IITM/arbitrary.jl
index bda1801..05e29a4 100644
--- a/src/IITM/arbitrary.jl
+++ b/src/IITM/arbitrary.jl
@@ -23,7 +23,7 @@ Returns:
 - `𝐓`: an `AxisymmetricTransitionMatrix` struct representing the T-Matrix.
 """
 function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ,
-                                Nφ; rₘᵢₙ = rmin(s)) where {T, CT}
+        Nφ; rₘᵢₙ = rmin(s)) where {T, CT}
     k = 2 * T(π) / λ
     rₘₐₓ = rmax(s)
 
@@ -59,8 +59,9 @@ function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
     τ = similar(d)
 
     Threads.@threads for (i, m) in collect(Iterators.product(1:Nϑ, (-nₘₐₓ):nₘₐₓ))
-        TransitionMatrices.wigner_d_recursion!(view(d, i, abs(m):nₘₐₓ, m), 0, m, nₘₐₓ, ϑ[i];
-                                               deriv = view(τ, i, abs(m):nₘₐₓ, m))
+        TransitionMatrices.wigner_d_recursion!(
+            view(d, i, abs(m):nₘₐₓ, m), 0, m, nₘₐₓ, ϑ[i];
+            deriv = view(τ, i, abs(m):nₘₐₓ, m))
 
         for n in max(abs(m), 1):nₘₐₓ
             𝜋[i, n, m] = TransitionMatrices.pi_func(T, m, n, ϑ[i]; d = d[i, n, m])
@@ -116,12 +117,12 @@ function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
 
         # Calculate for each point whether it is within the scatterer
         ε = [refractive_index(s,
-                              (r * sin(ϑ[i]) * cos(φ), r * sin(ϑ[i]) * sin(φ),
-                               r * x[i]))^2 for φ in xφ, i in 1:Nϑ]
+                 (r * sin(ϑ[i]) * cos(φ), r * sin(ϑ[i]) * sin(φ),
+                     r * x[i]))^2 for φ in xφ, i in 1:Nϑ]
         fourier_coeffs = CT <: ComplexF64 ?
                          _azimuthal_fourier_coefficients(ε, nₘₐₓ, wφ,
-                                                         fourier_workspace,
-                                                         fourier_modes) : nothing
+            fourier_workspace,
+            fourier_modes) : nothing
 
         Threads.@threads for (q, (n′, m′)) in enumerate(it)
             for (p, (n, m)) in enumerate(it)
@@ -155,8 +156,8 @@ function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
                         cε = coeff_ε[freq, i]
                         cεinv = coeff_εinv[freq, i]
                         U += w[i] * @SMatrix [c*pptt*cε -c̃*im*pttp*cε 0
-                                              c̃*im*pttp*cε c*pptt*cε 0
-                                              0 0 c * a½[n] * a½[n′] * dd*cεinv]
+                                       c̃*im*pttp*cε c*pptt*cε 0
+                                       0 0 c * a½[n] * a½[n′] * dd * cεinv]
                     end
                 end
 
@@ -165,7 +166,7 @@ function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
             end
         end
 
-        𝐐 = wri * inv(𝐈 - wri * 𝐔 * 𝐆) * 𝐔
+        𝐐 = wri * _iitm_ldiv(𝐈 - wri * 𝐔 * 𝐆, 𝐔)
         𝐐ⱼⱼ = im * k * transpose(𝐉) * 𝐐 * 𝐉
         𝐐ⱼₕ = im * k * transpose(𝐉) * 𝐐 * 𝐇
         𝐐ₕⱼ = im * k * transpose(𝐇) * 𝐐 * 𝐉
@@ -176,11 +177,11 @@ function transition_matrix_iitm(s::AbstractShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
         # Eq (2.40) in Doicu & Wriedt (2018)
         # Eq (5.71) in Hu (2018)
         # Eq (4.2.36) in Sun et al. (2019) Note: incorrect multiplication order
-        𝐓 = 𝐐ⱼⱼ + (𝐈 + 𝐐ⱼₕ) * inv(𝐈 - 𝐓 * 𝐐ₕₕ) * 𝐓 * (𝐈 + 𝐐ₕⱼ)
+        𝐓 = 𝐐ⱼⱼ + (𝐈 + 𝐐ⱼₕ) * _iitm_ldiv(𝐈 - 𝐓 * 𝐐ₕₕ, 𝐓) * (𝐈 + 𝐐ₕⱼ)
     end
 
     𝐓′ = OffsetArray(zeros(CT, 2nₘₐₓ + 1, nₘₐₓ, 2nₘₐₓ + 1, nₘₐₓ, 2, 2), (-nₘₐₓ):nₘₐₓ,
-                     1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2, 1:2)
+        1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2, 1:2)
 
     Threads.@threads for (j, (n′, m′)) in enumerate(it)
         for (i, (n, m)) in enumerate(it)
diff --git a/src/IITM/axisymmetric.jl b/src/IITM/axisymmetric.jl
index 1ee5d02..097af16 100644
--- a/src/IITM/axisymmetric.jl
+++ b/src/IITM/axisymmetric.jl
@@ -22,7 +22,7 @@ Returns:
 - `𝐓`: an `AxisymmetricTransitionMatrix` struct representing the T-Matrix.
 """
 function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐₓ, Nr, Nϑ
-                                ; rₘᵢₙ = rmin(s)) where {T, CT}
+        ; rₘᵢₙ = rmin(s)) where {T, CT}
     k = 2 * T(π) / λ
     rₘₐₓ = rmax(s)
 
@@ -59,7 +59,7 @@ function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐ
 
     Threads.@threads for (i, m) in collect(Iterators.product(1:Nϑ, 0:nₘₐₓ))
         wigner_d_recursion!(view(d, i, m:nₘₐₓ, m), 0, m, nₘₐₓ, ϑ[i];
-                            deriv = view(τ, i, m:nₘₐₓ, m))
+            deriv = view(τ, i, m:nₘₐₓ, m))
 
         for n in max(m, 1):nₘₐₓ
             𝜋[i, n, m] = pi_func(T, m, n, ϑ[i]; d = d[i, n, m])
@@ -112,7 +112,7 @@ function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐ
         end
 
         # Calculate for each point whether it is within the scatterer
-        within = [(r * sin(ϑ[i]), 0, r * x[i]) ∈ s for i in 1:Nϑ]
+        within = [(r * sin(ϑ[i]), 0, r * x[i]) in s for i in 1:Nϑ]
         ε = [within[i] ? s.m^2 : one(CT) for i in eachindex(within)]
 
         # Calculate for each m
@@ -122,6 +122,7 @@ function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐ
             𝐔 = zeros(CT, 3nn, 3nn)
 
             for n in nₘᵢₙ:nₘₐₓ, n′ in nₘᵢₙ:nₘₐₓ
+
                 U = zero(SMatrix{3, 3, CT})
                 if has_symmetric_plane(s)
                     c = iseven(n + n′) ? 2 : 0
@@ -143,13 +144,13 @@ function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐ
 
                 U *= A[n] * A[n′] * (kr)^2
                 view(𝐔, (3(n - nₘᵢₙ + 1) - 2):(3(n - nₘᵢₙ + 1)),
-                (3(n′ - nₘᵢₙ + 1) - 2):(3(n′ - nₘᵢₙ + 1))) .= U
+                    (3(n′ - nₘᵢₙ + 1) - 2):(3(n′ - nₘᵢₙ + 1))) .= U
             end
 
             𝐉ᵥ = view(𝐉, (3nₘᵢₙ - 2):(3nₘₐₓ), (2nₘᵢₙ - 1):(2nₘₐₓ))
             𝐇ᵥ = view(𝐇, (3nₘᵢₙ - 2):(3nₘₐₓ), (2nₘᵢₙ - 1):(2nₘₐₓ))
             𝐆ᵥ = view(𝐆, (3nₘᵢₙ - 2):(3nₘₐₓ), (3nₘᵢₙ - 2):(3nₘₐₓ))
-            𝐐 = wri * inv(𝐈 - wri * 𝐔 * 𝐆ᵥ) * 𝐔
+            𝐐 = wri * _iitm_ldiv(𝐈 - wri * 𝐔 * 𝐆ᵥ, 𝐔)
 
             𝐐ⱼⱼ = im * k * transpose(𝐉ᵥ) * 𝐐 * 𝐉ᵥ
             𝐐ⱼₕ = im * k * transpose(𝐉ᵥ) * 𝐐 * 𝐇ᵥ
@@ -162,7 +163,7 @@ function transition_matrix_iitm(s::AbstractAxisymmetricShape{T, CT}, λ, nₘₐ
             # Eq (5.71) in Hu (2018)
             # Eq (4.2.36) in Sun et al. (2019) Note: incorrect multiplication order
             Ts[m + 1] = 𝐐ⱼⱼ +
-                        (𝐈 + 𝐐ⱼₕ) * inv(𝐈 - Ts[m + 1] * 𝐐ₕₕ) * Ts[m + 1] *
+                        (𝐈 + 𝐐ⱼₕ) * _iitm_ldiv(𝐈 - Ts[m + 1] * 𝐐ₕₕ, Ts[m + 1]) *
                         (𝐈 + 𝐐ₕⱼ)
         end
     end
diff --git a/src/IITM/fourier.jl b/src/IITM/fourier.jl
index f68ec46..a7c13c5 100644
--- a/src/IITM/fourier.jl
+++ b/src/IITM/fourier.jl
@@ -1,3 +1,10 @@
+# Solve 𝐌 \ 𝐗 (= inv(𝐌) * 𝐗) through a factorization instead of forming the
+# explicit inverse and an extra matrix product — cheaper and numerically
+# cleaner on the IITM radial recursion's hot path. Arblib (Arb/Acb) matrices
+# have no generic `\`/`lu`, so they fall back to their dedicated `inv`.
+_iitm_ldiv(𝐌::AbstractMatrix{<:Union{Arb, Acb}}, 𝐗) = inv(𝐌) * 𝐗
+_iitm_ldiv(𝐌, 𝐗) = 𝐌 \ 𝐗
+
 struct _AzimuthalFourierWorkspace{P}
     contrast::Matrix{ComplexF64}
     contrast_inv::Matrix{ComplexF64}
@@ -15,7 +22,7 @@ function _azimuthal_fft_plan(Nφ, Nϑ)
     try
         return get!(_AZIMUTHAL_FFT_PLAN_CACHE, key) do
             FFTW.plan_fft(zeros(ComplexF64, Nφ, Nϑ), 1;
-                          flags = FFTW.ESTIMATE | FFTW.UNALIGNED)
+                flags = FFTW.ESTIMATE | FFTW.UNALIGNED)
         end
     finally
         unlock(_AZIMUTHAL_FFT_PLAN_CACHE_LOCK)
@@ -29,7 +36,7 @@ function _azimuthal_fourier_workspace(Nφ, Nϑ)
     spectrum_inv = similar(contrast)
     plan = _azimuthal_fft_plan(Nφ, Nϑ)
     return _AzimuthalFourierWorkspace(contrast, contrast_inv, spectrum, spectrum_inv,
-                                      plan)
+        plan)
 end
 
 function _azimuthal_fourier_mode_bins(nₘₐₓ, period = 1)
@@ -39,8 +46,8 @@ function _azimuthal_fourier_mode_bins(nₘₐₓ, period = 1)
 end
 
 function _azimuthal_fourier_coefficients(ε::AbstractMatrix{ComplexF64}, nₘₐₓ, wφ,
-                                         workspace::_AzimuthalFourierWorkspace,
-                                         mode_bins)
+        workspace::_AzimuthalFourierWorkspace,
+        mode_bins)
     Nφ, Nϑ = size(ε)
     qs, bins = mode_bins
 
@@ -50,7 +57,7 @@ function _azimuthal_fourier_coefficients(ε::AbstractMatrix{ComplexF64}, nₘₐ
     mul!(workspace.spectrum_inv, workspace.plan, workspace.contrast_inv)
 
     coeff = OffsetArray(zeros(ComplexF64, 4nₘₐₓ + 1, Nϑ), (-2nₘₐₓ):(2nₘₐₓ),
-                        1:Nϑ)
+        1:Nϑ)
     coeff_inv = similar(coeff)
 
     for i in 1:Nϑ
diff --git a/src/IITM/linearization.jl b/src/IITM/linearization.jl
index b9a8080..16eba9e 100644
--- a/src/IITM/linearization.jl
+++ b/src/IITM/linearization.jl
@@ -5,20 +5,20 @@ function _iitm_variable_list_message(canonical)
 end
 
 function _iitm_linearization_input(problem::LinearizationProblem, config,
-                                   x = problem.x)
+        x = problem.x)
     rebuilt = rebuild(problem, x)
     shape = _linearization_property(config, :shape;
-                                    default = _linearization_property(rebuilt, :shape))
+        default = _linearization_property(rebuilt, :shape))
     λ = _linearization_property(config, :λ;
-                                default = _linearization_property(rebuilt, :λ))
+        default = _linearization_property(rebuilt, :λ))
     nₘₐₓ = _linearization_property(config, :nₘₐₓ;
-                                   default = _linearization_property(rebuilt, :nₘₐₓ))
+        default = _linearization_property(rebuilt, :nₘₐₓ))
     Nr = _linearization_property(config, :Nr;
-                                 default = _linearization_property(rebuilt, :Nr))
+        default = _linearization_property(rebuilt, :Nr))
     Nϑ = _linearization_property(config, :Nϑ;
-                                 default = _linearization_property(rebuilt, :Nϑ))
+        default = _linearization_property(rebuilt, :Nϑ))
     Nφ = _linearization_property(config, :Nφ;
-                                 default = _linearization_property(rebuilt, :Nφ))
+        default = _linearization_property(rebuilt, :Nφ))
 
     if isnothing(shape) || isnothing(λ) || isnothing(nₘₐₓ) ||
        isnothing(Nr) || isnothing(Nϑ)
@@ -26,7 +26,7 @@ function _iitm_linearization_input(problem::LinearizationProblem, config,
     end
 
     return (; shape, λ, nₘₐₓ = Int(nₘₐₓ), Nr = Int(Nr), Nϑ = Int(Nϑ),
-            Nφ = isnothing(Nφ) ? nothing : Int(Nφ))
+        Nφ = isnothing(Nφ) ? nothing : Int(Nφ))
 end
 
 function _iitm_real_type(shape, λ)
@@ -69,9 +69,9 @@ function _iitm_ricatti_argument_derivatives!(∂f, ∂f′, f, f′, z, ∂z)
 end
 
 function _iitm_fill_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆s,
-                                   ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s, ∂χs, ∂χ′s,
-                                   kr, ∂kr, k, ∂k, a½, nₘₐₓ,
-                                   wavenumber_indices = eachindex(∂k))
+        ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s, ∂χs, ∂χ′s,
+        kr, ∂kr, k, ∂k, a½, nₘₐₓ,
+        wavenumber_indices = eachindex(∂k))
     CT = eltype(𝐉)
     fill!(𝐉, zero(CT))
     fill!(𝐇, zero(CT))
@@ -130,9 +130,9 @@ function _iitm_fill_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆
 end
 
 function _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ε, within, d, 𝜋,
-                                     τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, m_order,
-                                     ∂Us = nothing,
-                                     material_indices = _iitm_nonzero_derivative_indices(∂m))
+        τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, m_order,
+        ∂Us = nothing,
+        material_indices = _iitm_nonzero_derivative_indices(∂m))
     nₘᵢₙ = max(1, m_order)
     p = length(∂m)
     CT = typeof(m)
@@ -146,6 +146,7 @@ function _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ε, within, d,
     end
 
     for n in nₘᵢₙ:nₘₐₓ, n′ in nₘᵢₙ:nₘₐₓ
+
         U = zero(SMatrix{3, 3, CT})
         fill!(∂Us, zero(SMatrix{3, 3, CT}))
         if has_symmetric_plane(s)
@@ -173,8 +174,7 @@ function _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ε, within, d,
                     ∂ε = 2m * ∂m[j]
                     ∂ΔU = @SMatrix [zero(CT) zero(CT) zero(CT)
                                     zero(CT) zero(CT) zero(CT)
-                                    zero(CT) zero(CT) -c * a½[n] * a½[n′] *
-                                                            dd * ∂ε/ε[i]^2]
+                                    zero(CT) zero(CT) -c * a½[n] * a½[n′] * dd * ∂ε/ε[i]^2]
                     ∂Us[j] += w[i] * (∂ε * ΔU + contrast * ∂ΔU)
                 end
             end
@@ -200,15 +200,15 @@ function _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ε, within, d,
 end
 
 function _iitm_axisymmetric_shell_u(s, r, x, w, ε, within, d, 𝜋, τ, a½, A,
-                                    k, ∂k, m, ∂m, nₘₐₓ, m_order)
+        k, ∂k, m, ∂m, nₘₐₓ, m_order)
     nₘᵢₙ = max(1, m_order)
     nn = nₘₐₓ - nₘᵢₙ + 1
     CT = typeof(m)
     𝐔 = zeros(CT, 3nn, 3nn)
     ∂𝐔s = [zeros(CT, 3nn, 3nn) for _ in eachindex(∂m)]
     return _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ε, within, d,
-                                       𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ,
-                                       m_order)
+        𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ,
+        m_order)
 end
 
 function _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
@@ -223,20 +223,20 @@ function _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
 end
 
 function _iitm_project_q_blocks(k, ∂k, 𝐉, 𝐇, 𝐐, ∂𝐉, ∂𝐇, ∂𝐐)
-    𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 =
-        _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
+    𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 = _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
 
-    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ =
-        _iitm_project_q_block_derivatives(k, ∂k, 𝐉, 𝐇, 𝐐, ∂𝐉, ∂𝐇, ∂𝐐,
-                                          𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
-                                          𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
+    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+    ∂𝐐ₕⱼ,
+    ∂𝐐ₕₕ = _iitm_project_q_block_derivatives(k, ∂k, 𝐉, 𝐇, 𝐐, ∂𝐉, ∂𝐇, ∂𝐐,
+        𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
+        𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
 
     return 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ
 end
 
 function _iitm_project_q_block_derivatives(k, ∂k, 𝐉, 𝐇, 𝐐, ∂𝐉, ∂𝐇, ∂𝐐,
-                                           𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
-                                           𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
+        𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
+        𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
     ∂𝐉ᵀ𝐐 = transpose(∂𝐉) * 𝐐
     ∂𝐇ᵀ𝐐 = transpose(∂𝐇) * 𝐐
     𝐉ᵀ∂𝐐 = transpose(𝐉) * ∂𝐐
@@ -267,10 +267,10 @@ function _iitm_project_q_block_material_derivatives(k, 𝐉, 𝐇, ∂𝐐)
 end
 
 function _iitm_update_transition_block(𝐓, ∂𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
-                                       ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ)
+        ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ)
     return _iitm_update_transition_solve_block(𝐓, ∂𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ,
-                                               𝐐ₕₕ, ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
-                                               ∂𝐐ₕₕ)
+        𝐐ₕₕ, ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
+        ∂𝐐ₕₕ)
 end
 
 function _iitm_transition_solve_cache(𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ)
@@ -285,25 +285,24 @@ function _iitm_transition_solve_cache(𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ,
 end
 
 function _iitm_update_transition_solve_derivative_block(𝐓, ∂𝐓, 𝐐ₕₕ,
-                                                        ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
-                                                        ∂𝐐ₕⱼ, ∂𝐐ₕₕ,
-                                                        𝐀, 𝐂, 𝐁_factor,
-                                                        𝐗)
+        ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+        ∂𝐐ₕⱼ, ∂𝐐ₕₕ,
+        𝐀, 𝐂, 𝐁_factor,
+        𝐗)
     ∂𝐁 = -∂𝐓 * 𝐐ₕₕ - 𝐓 * ∂𝐐ₕₕ
     ∂𝐗 = 𝐁_factor \ (∂𝐓 * 𝐂 + 𝐓 * ∂𝐐ₕⱼ - ∂𝐁 * 𝐗)
     return ∂𝐐ⱼⱼ + ∂𝐐ⱼₕ * 𝐗 + 𝐀 * ∂𝐗
 end
 
 function _iitm_update_transition_solve_block(𝐓, ∂𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ,
-                                             𝐐ₕₕ, ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
-                                             ∂𝐐ₕₕ)
-    𝐓next, 𝐀, 𝐂, 𝐁_factor, 𝐗 =
-        _iitm_transition_solve_cache(𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ)
+        𝐐ₕₕ, ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
+        ∂𝐐ₕₕ)
+    𝐓next, 𝐀, 𝐂, 𝐁_factor, 𝐗 = _iitm_transition_solve_cache(𝐓, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ)
     ∂𝐓next = _iitm_update_transition_solve_derivative_block(𝐓, ∂𝐓,
-                                                            𝐐ₕₕ, ∂𝐐ⱼⱼ,
-                                                            ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
-                                                            ∂𝐐ₕₕ, 𝐀, 𝐂,
-                                                            𝐁_factor, 𝐗)
+        𝐐ₕₕ, ∂𝐐ⱼⱼ,
+        ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
+        ∂𝐐ₕₕ, 𝐀, 𝐂,
+        𝐁_factor, 𝐗)
     return 𝐓next, ∂𝐓next
 end
 
@@ -335,7 +334,7 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
     Nϑ_config = input.Nϑ
     p = length(variables)
     RT, CT, k, m, ∂k, ∂m = _iitm_fixed_geometry_parameter_derivatives(input,
-                                                                       variables)
+        variables)
     wavenumber_indices = _iitm_nonzero_derivative_indices(∂k)
     material_indices = _iitm_nonzero_derivative_indices(∂m)
 
@@ -379,18 +378,18 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
     end
 
     d = OffsetArray(zeros(RT, Nϑ, nₘₐₓ + 1, nₘₐₓ + 1), 1:Nϑ, 0:nₘₐₓ,
-                    0:nₘₐₓ)
+        0:nₘₐₓ)
     𝜋 = similar(d)
     τ = similar(d)
 
     Threads.@threads for (i, m_order) in collect(Iterators.product(1:Nϑ, 0:nₘₐₓ))
         wigner_d_recursion!(view(d, i, m_order:nₘₐₓ, m_order), 0, m_order,
-                            nₘₐₓ, ϑᵥ[i];
-                            deriv = view(τ, i, m_order:nₘₐₓ, m_order))
+            nₘₐₓ, ϑᵥ[i];
+            deriv = view(τ, i, m_order:nₘₐₓ, m_order))
 
         for n in max(m_order, 1):nₘₐₓ
             𝜋[i, n, m_order] = pi_func(RT, m_order, n, ϑᵥ[i];
-                                       d = d[i, n, m_order])
+                d = d[i, n, m_order])
         end
     end
 
@@ -439,14 +438,14 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
         for j in wavenumber_indices
             ∂kr[j] = ∂k[j] * r
             _iitm_ricatti_argument_derivatives!(∂ψs[j], ∂ψ′s[j], ψ, ψ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
             _iitm_ricatti_argument_derivatives!(∂χs[j], ∂χ′s[j], χ, χ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
         end
 
         _iitm_fill_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆s, ψ, ψ′, χ, χ′,
-                                  ∂ψs, ∂ψ′s, ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
-                                  a½, nₘₐₓ, wavenumber_indices)
+            ∂ψs, ∂ψ′s, ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
+            a½, nₘₐₓ, wavenumber_indices)
 
         for i in eachindex(xᵥ)
             inside = (r * sinϑᵥ[i], 0, r * xᵥ[i]) ∈ s
@@ -459,9 +458,9 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
             𝐔 = 𝐔_by_m[m_order + 1]
             ∂𝐔s = ∂𝐔s_by_m[m_order + 1]
             _iitm_axisymmetric_shell_u!(𝐔, ∂𝐔s, s, r, xᵥ, wᵥ, ε, within, d,
-                                        𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ,
-                                        m_order, ∂Us_by_m[m_order + 1],
-                                        material_indices)
+                𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ,
+                m_order, ∂Us_by_m[m_order + 1],
+                material_indices)
             𝐉ᵥ = view(𝐉, (3nₘᵢₙ - 2):(3nₘₐₓ), (2nₘᵢₙ - 1):(2nₘₐₓ))
             𝐇ᵥ = view(𝐇, (3nₘᵢₙ - 2):(3nₘₐₓ), (2nₘᵢₙ - 1):(2nₘₐₓ))
             𝐆ᵥ = view(𝐆, (3nₘᵢₙ - 2):(3nₘₐₓ), (3nₘᵢₙ - 2):(3nₘₐₓ))
@@ -469,49 +468,48 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
             𝐑_factor = lu(𝐑)
             𝐐 = wri * (𝐑_factor \ 𝐔)
 
-            𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 =
-                _iitm_project_q_block_values(k, 𝐉ᵥ, 𝐇ᵥ, 𝐐)
+            𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 = _iitm_project_q_block_values(k, 𝐉ᵥ, 𝐇ᵥ, 𝐐)
 
             𝐓_old = Ts[m_order + 1]
-            𝐓_next, 𝐀, 𝐂, 𝐁_factor, 𝐗 =
-                _iitm_transition_solve_cache(𝐓_old, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ,
-                                             𝐐ₕₕ)
+            𝐓_next, 𝐀, 𝐂, 𝐁_factor,
+            𝐗 = _iitm_transition_solve_cache(𝐓_old, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ,
+                𝐐ₕₕ)
             Ts[m_order + 1] = 𝐓_next
 
             for j in 1:p
                 if iszero(∂k[j])
                     ∂𝐑 = -wri * (∂𝐔s[j] * 𝐆ᵥ)
                     ∂𝐐 = 𝐑_factor \ (wri * ∂𝐔s[j] - ∂𝐑 * 𝐐)
-                    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ =
-                        _iitm_project_q_block_material_derivatives(k, 𝐉ᵥ,
-                                                                   𝐇ᵥ, ∂𝐐)
+                    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+                    ∂𝐐ₕⱼ, ∂𝐐ₕₕ = _iitm_project_q_block_material_derivatives(k, 𝐉ᵥ,
+                        𝐇ᵥ, ∂𝐐)
                 else
                     ∂𝐉ᵥ = view(∂𝐉s[j], (3nₘᵢₙ - 2):(3nₘₐₓ),
-                                (2nₘᵢₙ - 1):(2nₘₐₓ))
+                        (2nₘᵢₙ - 1):(2nₘₐₓ))
                     ∂𝐇ᵥ = view(∂𝐇s[j], (3nₘᵢₙ - 2):(3nₘₐₓ),
-                                (2nₘᵢₙ - 1):(2nₘₐₓ))
+                        (2nₘᵢₙ - 1):(2nₘₐₓ))
                     ∂𝐆ᵥ = view(∂𝐆s[j], (3nₘᵢₙ - 2):(3nₘₐₓ),
-                                (3nₘᵢₙ - 2):(3nₘₐₓ))
+                        (3nₘᵢₙ - 2):(3nₘₐₓ))
                     ∂𝐑 = -wri * (∂𝐔s[j] * 𝐆ᵥ + 𝐔 * ∂𝐆ᵥ)
                     ∂𝐐 = 𝐑_factor \ (wri * ∂𝐔s[j] - ∂𝐑 * 𝐐)
-                    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ =
-                        _iitm_project_q_block_derivatives(k, ∂k[j], 𝐉ᵥ, 𝐇ᵥ,
-                                                           𝐐, ∂𝐉ᵥ, ∂𝐇ᵥ,
-                                                           ∂𝐐, 𝐐ⱼⱼ, 𝐐ⱼₕ,
-                                                           𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐,
-                                                           𝐇ᵀ𝐐)
+                    ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+                    ∂𝐐ₕⱼ,
+                    ∂𝐐ₕₕ = _iitm_project_q_block_derivatives(k, ∂k[j], 𝐉ᵥ, 𝐇ᵥ,
+                        𝐐, ∂𝐉ᵥ, ∂𝐇ᵥ,
+                        ∂𝐐, 𝐐ⱼⱼ, 𝐐ⱼₕ,
+                        𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐,
+                        𝐇ᵀ𝐐)
                 end
-                ∂𝐓_next =
-                    _iitm_update_transition_solve_derivative_block(𝐓_old,
-                                                                   ∂Ts_by_var[j][m_order + 1],
-                                                                   𝐐ₕₕ,
-                                                                   ∂𝐐ⱼⱼ,
-                                                                   ∂𝐐ⱼₕ,
-                                                                   ∂𝐐ₕⱼ,
-                                                                   ∂𝐐ₕₕ,
-                                                                   𝐀, 𝐂,
-                                                                   𝐁_factor,
-                                                                   𝐗)
+                ∂𝐓_next = _iitm_update_transition_solve_derivative_block(𝐓_old,
+                    ∂Ts_by_var[j][m_order + 1],
+                    𝐐ₕₕ,
+                    ∂𝐐ⱼⱼ,
+                    ∂𝐐ⱼₕ,
+                    ∂𝐐ₕⱼ,
+                    ∂𝐐ₕₕ,
+                    𝐀, 𝐂,
+                    𝐁_factor,
+                    𝐗)
                 ∂Ts_by_var[j][m_order + 1] = ∂𝐓_next
             end
         end
@@ -525,12 +523,12 @@ function _iitm_axisymmetric_fixed_geometry_linearization(input, variables)
     value = AxisymmetricTransitionMatrix{CT, nₘₐₓ, typeof(value_blocks), RT}(value_blocks)
 
     return LinearizationResult(value, jacobian, variables;
-                               metadata = (; backend = :iitm_axisymmetric_analytic,
-                                           variant = :axisymmetric,
-                                           λ = input.λ,
-                                           nₘₐₓ,
-                                           Nr,
-                                           Nϑ = Nϑ_config))
+        metadata = (; backend = :iitm_axisymmetric_analytic,
+            variant = :axisymmetric,
+            λ = input.λ,
+            nₘₐₓ,
+            Nr,
+            Nϑ = Nϑ_config))
 end
 
 _iitm_nfold_period(::AbstractNFoldShape{N}) where {N} = N
@@ -543,10 +541,10 @@ function _iitm_effective_variant(input, backend::IITMLinearization)
 end
 
 function _iitm_fill_ordered_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆s,
-                                           ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s,
-                                           ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
-                                           a½, order_degree,
-                                           wavenumber_indices = eachindex(∂k))
+        ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s,
+        ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
+        a½, order_degree,
+        wavenumber_indices = eachindex(∂k))
     CT = eltype(𝐉)
     fill!(𝐉, zero(CT))
     fill!(𝐇, zero(CT))
@@ -579,12 +577,10 @@ function _iitm_fill_ordered_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s,
             ∂krⱼ = ∂kr[j]
             ∂𝐉ᵈ = @SMatrix [∂ψs[j][n]/kr - ψ[n] * ∂krⱼ/kr^2 0
                             0 ∂ψ′s[j][n]/kr - ψ′[n] * ∂krⱼ/kr^2
-                            0 a½[n] * (∂ψs[j][n]/kr^2 -
-                                        2ψ[n] * ∂krⱼ/kr^3)]
+                            0 a½[n] * (∂ψs[j][n]/kr^2 - 2ψ[n] * ∂krⱼ/kr^3)]
             ∂𝐘ᵈ = @SMatrix [∂χs[j][n]/kr - χ[n] * ∂krⱼ/kr^2 0
                             0 ∂χ′s[j][n]/kr - χ′[n] * ∂krⱼ/kr^2
-                            0 a½[n] * (∂χs[j][n]/kr^2 -
-                                        2χ[n] * ∂krⱼ/kr^3)]
+                            0 a½[n] * (∂χs[j][n]/kr^2 - 2χ[n] * ∂krⱼ/kr^3)]
             ∂𝐇ᵈ = ∂𝐉ᵈ + 1im * ∂𝐘ᵈ
             ∂𝐆ᵈ_base = ∂𝐇ᵈ * transpose(𝐉ᵈ) + 𝐇ᵈ * transpose(∂𝐉ᵈ) +
                        ∂𝐉ᵈ * transpose(𝐇ᵈ) + 𝐉ᵈ * transpose(∂𝐇ᵈ)
@@ -606,10 +602,11 @@ function _iitm_material_tables(s, r, x, ϑ, xφ, m, ∂m, material_indices)
     ∂εs = [Matrix{CT}(undef, length(xφ), length(x)) for _ in material_indices]
 
     for (jφ, φ) in enumerate(xφ), i in eachindex(x)
+
         local_m = refractive_index(s,
-                                   (r * sin(ϑ[i]) * cos(φ),
-                                    r * sin(ϑ[i]) * sin(φ),
-                                    r * x[i]))
+            (r * sin(ϑ[i]) * cos(φ),
+                r * sin(ϑ[i]) * sin(φ),
+                r * x[i]))
         ε[jφ, i] = local_m^2
         material_matches = local_m == m
         for (jm, j) in enumerate(material_indices)
@@ -625,7 +622,7 @@ function _iitm_collect_fourier_coefficients(spectrum, nₘₐₓ, wφ, mode_bins
     _, Nϑ = size(spectrum)
     qs, bins = mode_bins
     coeff = OffsetArray(zeros(ComplexF64, 4nₘₐₓ + 1, Nϑ),
-                        (-2nₘₐₓ):(2nₘₐₓ), 1:Nϑ)
+        (-2nₘₐₓ):(2nₘₐₓ), 1:Nϑ)
 
     for i in 1:Nϑ
         for iq in eachindex(qs)
@@ -639,43 +636,43 @@ function _iitm_collect_fourier_coefficients(spectrum, nₘₐₓ, wφ, mode_bins
 end
 
 function _iitm_fourier_coefficients_with_derivatives(ε, ∂εs, nₘₐₓ, wφ,
-                                                     workspace,
-                                                     mode_bins)
+        workspace,
+        mode_bins)
     coeff_ε, coeff_εinv = _azimuthal_fourier_coefficients(ε, nₘₐₓ, wφ,
-                                                          workspace,
-                                                          mode_bins)
+        workspace,
+        mode_bins)
     ∂coeffs = map(∂εs) do ∂ε
         @. workspace.contrast = ∂ε
         @. workspace.contrast_inv = ∂ε / ε^2
         mul!(workspace.spectrum, workspace.plan, workspace.contrast)
         mul!(workspace.spectrum_inv, workspace.plan, workspace.contrast_inv)
         (_iitm_collect_fourier_coefficients(workspace.spectrum, nₘₐₓ, wφ,
-                                            mode_bins),
-         _iitm_collect_fourier_coefficients(workspace.spectrum_inv, nₘₐₓ, wφ,
-                                            mode_bins))
+                mode_bins),
+            _iitm_collect_fourier_coefficients(workspace.spectrum_inv, nₘₐₓ, wφ,
+                mode_bins))
     end
 
     return coeff_ε, coeff_εinv, ∂coeffs
 end
 
 function _iitm_ordered_shell_data(s, r, x, ϑ, xφ, m, ∂m, nₘₐₓ, wφ,
-                                  fourier_workspace, fourier_modes,
-                                  material_indices = _iitm_nonzero_derivative_indices(∂m))
+        fourier_workspace, fourier_modes,
+        material_indices = _iitm_nonzero_derivative_indices(∂m))
     ε, ∂εs = _iitm_material_tables(s, r, x, ϑ, xφ, m, ∂m,
-                                   material_indices)
+        material_indices)
     fourier_coeffs = isnothing(fourier_workspace) ? nothing :
                      _iitm_fourier_coefficients_with_derivatives(ε, ∂εs,
-                                                                 nₘₐₓ, wφ,
-                                                                 fourier_workspace,
-                                                                 fourier_modes)
+        nₘₐₓ, wφ,
+        fourier_workspace,
+        fourier_modes)
     return ε, ∂εs, fourier_coeffs, material_indices
 end
 
 function _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 𝜋, τ,
-                                a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
-                                scale_factor, fourier_workspace,
-                                fourier_modes, shell_data = nothing,
-                                ∂Us = nothing)
+        a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
+        scale_factor, fourier_workspace,
+        fourier_modes, shell_data = nothing,
+        ∂Us = nothing)
     CT = typeof(m)
     pvars = length(∂m)
     fill!(𝐔, zero(CT))
@@ -683,11 +680,12 @@ function _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 
         fill!(∂𝐔, zero(CT))
     end
     kr = k * r
-    ε, ∂εs, fourier_coeffs, material_indices =
-        isnothing(shell_data) ?
-        _iitm_ordered_shell_data(s, r, x, ϑ, xφ, m, ∂m, nₘₐₓ, wφ,
-                                 fourier_workspace, fourier_modes) :
-        shell_data
+    ε, ∂εs,
+    fourier_coeffs,
+    material_indices = isnothing(shell_data) ?
+                       _iitm_ordered_shell_data(s, r, x, ϑ, xφ, m, ∂m, nₘₐₓ, wφ,
+        fourier_workspace, fourier_modes) :
+                       shell_data
     if isnothing(∂Us)
         ∂Us = [zero(SMatrix{3, 3, CT}) for _ in 1:pvars]
     end
@@ -720,18 +718,14 @@ function _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 
                         phase = cis(freq * φ)
                         ΔU = @SMatrix [c*pptt -c̃*im*pttp 0
                                        c̃*im*pttp c*pptt 0
-                                       0 0 c * a½[n] * a½[n′] *
-                                           dd/ε[jφ, i]]
+                                       0 0 c * a½[n] * a½[n′] * dd/ε[jφ, i]]
                         contrast = ε[jφ, i] - 1
                         U += w[i] * wφⱼ * phase * contrast * ΔU
                         for (jm, j) in enumerate(material_indices)
                             ∂ε = ∂εs[jm][jφ, i]
                             ∂ΔU = @SMatrix [zero(CT) zero(CT) zero(CT)
                                             zero(CT) zero(CT) zero(CT)
-                                            zero(CT) zero(CT) -c * a½[n] *
-                                                                    a½[n′] *
-                                                                    dd * ∂ε /
-                                                                    ε[jφ, i]^2]
+                                            zero(CT) zero(CT) -c * a½[n] * a½[n′] * dd * ∂ε / ε[jφ, i]^2]
                             ∂Us[j] += w[i] * wφⱼ * phase *
                                       (∂ε * ΔU + contrast * ∂ΔU)
                         end
@@ -741,17 +735,15 @@ function _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 
                     cε = coeff_ε[freq, i]
                     cεinv = coeff_εinv[freq, i]
                     U += w[i] * @SMatrix [c*pptt*cε -c̃*im*pttp*cε 0
-                                          c̃*im*pttp*cε c*pptt*cε 0
-                                          0 0 c * a½[n] * a½[n′] *
-                                              dd*cεinv]
+                                   c̃*im*pttp*cε c*pptt*cε 0
+                                   0 0 c * a½[n] * a½[n′] * dd * cεinv]
                     for (jm, j) in enumerate(material_indices)
                         ∂cε, ∂cεinv = ∂coeffs[jm]
                         dcε = ∂cε[freq, i]
                         dcεinv = ∂cεinv[freq, i]
                         ∂Us[j] += w[i] * @SMatrix [c*pptt*dcε -c̃*im*pttp*dcε 0
-                                                   c̃*im*pttp*dcε c*pptt*dcε 0
-                                                   0 0 c * a½[n] * a½[n′] *
-                                                       dd*dcεinv]
+                                            c̃*im*pttp*dcε c*pptt*dcε 0
+                                            0 0 c * a½[n] * a½[n′] * dd * dcεinv]
                     end
                 end
             end
@@ -778,30 +770,28 @@ function _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 
 end
 
 function _iitm_ordered_shell_u(s, r, x, w, ϑ, xφ, wφ, d, 𝜋, τ, a½, A,
-                               k, ∂k, m, ∂m, nₘₐₓ, order_degree,
-                               scale_factor, fourier_workspace,
-                               fourier_modes)
+        k, ∂k, m, ∂m, nₘₐₓ, order_degree,
+        scale_factor, fourier_workspace,
+        fourier_modes)
     CT = typeof(m)
     L = length(order_degree)
     𝐔 = zeros(CT, 3L, 3L)
     ∂𝐔s = [zeros(CT, 3L, 3L) for _ in eachindex(∂m)]
     return _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, x, w, ϑ, xφ, wφ, d, 𝜋, τ,
-                                  a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
-                                  scale_factor, fourier_workspace,
-                                  fourier_modes)
+        a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
+        scale_factor, fourier_workspace,
+        fourier_modes)
 end
 
 function _iitm_update_general_block!(𝐓, ∂𝐓s, 𝐉, 𝐇, 𝐆, 𝐔, ∂𝐉s, ∂𝐇s,
-    ∂𝐆s, ∂𝐔s, wri, k, ∂k,
-                                     𝐓_old = copy(𝐓))
+        ∂𝐆s, ∂𝐔s, wri, k, ∂k,
+        𝐓_old = copy(𝐓))
     𝐑 = 𝐈 - wri * 𝐔 * 𝐆
     𝐑_factor = lu(𝐑)
     𝐐 = wri * (𝐑_factor \ 𝐔)
-    𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 =
-        _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
+    𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐 = _iitm_project_q_block_values(k, 𝐉, 𝐇, 𝐐)
     copyto!(𝐓_old, 𝐓)
-    𝐓_next, 𝐀, 𝐂, 𝐁_factor, 𝐗 =
-        _iitm_transition_solve_cache(𝐓_old, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ)
+    𝐓_next, 𝐀, 𝐂, 𝐁_factor, 𝐗 = _iitm_transition_solve_cache(𝐓_old, 𝐐ⱼⱼ, 𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ)
     𝐓 .= 𝐓_next
 
     for j in eachindex(∂𝐓s)
@@ -809,20 +799,19 @@ function _iitm_update_general_block!(𝐓, ∂𝐓s, 𝐉, 𝐇, 𝐆, 𝐔, ∂
              -wri * (∂𝐔s[j] * 𝐆 + 𝐔 * ∂𝐆s[j])
         ∂𝐐 = 𝐑_factor \ (wri * ∂𝐔s[j] - ∂𝐑 * 𝐐)
         if iszero(∂k[j])
-            ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ =
-                _iitm_project_q_block_material_derivatives(k, 𝐉, 𝐇, ∂𝐐)
+            ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ = _iitm_project_q_block_material_derivatives(k, 𝐉, 𝐇, ∂𝐐)
         else
-            ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ, ∂𝐐ₕⱼ, ∂𝐐ₕₕ =
-                _iitm_project_q_block_derivatives(k, ∂k[j], 𝐉, 𝐇, 𝐐, ∂𝐉s[j],
-                                                   ∂𝐇s[j], ∂𝐐, 𝐐ⱼⱼ, 𝐐ⱼₕ,
-                                                   𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
+            ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+            ∂𝐐ₕⱼ,
+            ∂𝐐ₕₕ = _iitm_project_q_block_derivatives(k, ∂k[j], 𝐉, 𝐇, 𝐐, ∂𝐉s[j],
+                ∂𝐇s[j], ∂𝐐, 𝐐ⱼⱼ, 𝐐ⱼₕ,
+                𝐐ₕⱼ, 𝐐ₕₕ, 𝐉ᵀ𝐐, 𝐇ᵀ𝐐)
         end
-        ∂𝐓s[j] .=
-            _iitm_update_transition_solve_derivative_block(𝐓_old, ∂𝐓s[j],
-                                                           𝐐ₕₕ, ∂𝐐ⱼⱼ,
-                                                           ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
-                                                           ∂𝐐ₕₕ, 𝐀, 𝐂,
-                                                           𝐁_factor, 𝐗)
+        ∂𝐓s[j] .= _iitm_update_transition_solve_derivative_block(𝐓_old, ∂𝐓s[j],
+            𝐐ₕₕ, ∂𝐐ⱼⱼ,
+            ∂𝐐ⱼₕ, ∂𝐐ₕⱼ,
+            ∂𝐐ₕₕ, 𝐀, 𝐂,
+            𝐁_factor, 𝐗)
     end
 
     return nothing
@@ -831,8 +820,8 @@ end
 function _iitm_repack_transition_matrix(𝐓, order_degree, nₘₐₓ)
     CT = eltype(𝐓)
     𝐓′ = OffsetArray(zeros(CT, 2nₘₐₓ + 1, nₘₐₓ, 2nₘₐₓ + 1, nₘₐₓ, 2, 2),
-                     (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2,
-                     1:2)
+        (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2,
+        1:2)
 
     for (j, (n′, m′)) in order_degree
         for (i, (n, m_order)) in order_degree
@@ -854,7 +843,7 @@ function _iitm_arbitrary_fixed_geometry_linearization(input, variables)
     Nφ = input.Nφ
     pvars = length(variables)
     RT, CT, k, m, ∂k, ∂m = _iitm_fixed_geometry_parameter_derivatives(input,
-                                                                       variables)
+        variables)
     wavenumber_indices = _iitm_nonzero_derivative_indices(∂k)
     material_indices = _iitm_nonzero_derivative_indices(∂m)
 
@@ -894,17 +883,17 @@ function _iitm_arbitrary_fixed_geometry_linearization(input, variables)
     end
 
     d = OffsetArray(zeros(RT, Nϑ, nₘₐₓ + 1, 2nₘₐₓ + 1), 1:Nϑ, 0:nₘₐₓ,
-                    (-nₘₐₓ):nₘₐₓ)
+        (-nₘₐₓ):nₘₐₓ)
     𝜋 = similar(d)
     τ = similar(d)
     Threads.@threads for (i, m_order) in collect(Iterators.product(1:Nϑ,
-                                                                   (-nₘₐₓ):nₘₐₓ))
+        (-nₘₐₓ):nₘₐₓ))
         wigner_d_recursion!(view(d, i, abs(m_order):nₘₐₓ, m_order), 0,
-                            m_order, nₘₐₓ, ϑᵥ[i];
-                            deriv = view(τ, i, abs(m_order):nₘₐₓ, m_order))
+            m_order, nₘₐₓ, ϑᵥ[i];
+            deriv = view(τ, i, abs(m_order):nₘₐₓ, m_order))
         for n in max(abs(m_order), 1):nₘₐₓ
             𝜋[i, n, m_order] = pi_func(RT, m_order, n, ϑᵥ[i];
-                                       d = d[i, n, m_order])
+                d = d[i, n, m_order])
         end
     end
 
@@ -940,23 +929,23 @@ function _iitm_arbitrary_fixed_geometry_linearization(input, variables)
         for j in wavenumber_indices
             ∂kr[j] = ∂k[j] * r
             _iitm_ricatti_argument_derivatives!(∂ψs[j], ∂ψ′s[j], ψ, ψ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
             _iitm_ricatti_argument_derivatives!(∂χs[j], ∂χ′s[j], χ, χ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
         end
         _iitm_fill_ordered_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆s, ψ, ψ′,
-                                          χ, χ′, ∂ψs, ∂ψ′s, ∂χs, ∂χ′s, kr,
-                                          ∂kr, k, ∂k, a½, order_degree,
-                                          wavenumber_indices)
+            χ, χ′, ∂ψs, ∂ψ′s, ∂χs, ∂χ′s, kr,
+            ∂kr, k, ∂k, a½, order_degree,
+            wavenumber_indices)
         shell_data = _iitm_ordered_shell_data(s, r, xᵥ, ϑᵥ, xφ, m, ∂m,
-                                              nₘₐₓ, wφ, fourier_workspace,
-                                              fourier_modes, material_indices)
+            nₘₐₓ, wφ, fourier_workspace,
+            fourier_modes, material_indices)
         _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, xᵥ, wᵥ, ϑᵥ, xφ, wφ, d, 𝜋,
-                               τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
-                               inv(2 * RT(π)), fourier_workspace,
-                               fourier_modes, shell_data, ∂Us)
+            τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, order_degree,
+            inv(2 * RT(π)), fourier_workspace,
+            fourier_modes, shell_data, ∂Us)
         _iitm_update_general_block!(𝐓, ∂𝐓s, 𝐉, 𝐇, 𝐆, 𝐔, ∂𝐉s, ∂𝐇s, ∂𝐆s,
-                                    ∂𝐔s, wri, k, ∂k, 𝐓_old)
+            ∂𝐔s, wri, k, ∂k, 𝐓_old)
     end
 
     value_container = _iitm_repack_transition_matrix(𝐓, order_degree, nₘₐₓ)
@@ -967,13 +956,13 @@ function _iitm_arbitrary_fixed_geometry_linearization(input, variables)
     end
 
     return LinearizationResult(value, jacobian, variables;
-                               metadata = (; backend = :iitm_arbitrary_analytic,
-                                           variant = :arbitrary,
-                                           λ = input.λ,
-                                           nₘₐₓ,
-                                           Nr,
-                                           Nϑ = Nϑ_config,
-                                           Nφ))
+        metadata = (; backend = :iitm_arbitrary_analytic,
+            variant = :arbitrary,
+            λ = input.λ,
+            nₘₐₓ,
+            Nr,
+            Nϑ = Nϑ_config,
+            Nφ))
 end
 
 function _iitm_nfold_fixed_geometry_linearization(input, variables)
@@ -985,7 +974,7 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
     Nφ = input.Nφ
     pvars = length(variables)
     RT, CT, k, m, ∂k, ∂m = _iitm_fixed_geometry_parameter_derivatives(input,
-                                                                       variables)
+        variables)
     wavenumber_indices = _iitm_nonzero_derivative_indices(∂k)
     material_indices = _iitm_nonzero_derivative_indices(∂m)
 
@@ -1039,17 +1028,17 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
                     for g in eachindex(𝐓s)]
 
     d = OffsetArray(zeros(RT, Nϑ, nₘₐₓ + 1, 2nₘₐₓ + 1), 1:Nϑ, 0:nₘₐₓ,
-                    (-nₘₐₓ):nₘₐₓ)
+        (-nₘₐₓ):nₘₐₓ)
     𝜋 = similar(d)
     τ = similar(d)
     Threads.@threads for (i, m_order) in collect(Iterators.product(1:Nϑ,
-                                                                   (-nₘₐₓ):nₘₐₓ))
+        (-nₘₐₓ):nₘₐₓ))
         wigner_d_recursion!(view(d, i, abs(m_order):nₘₐₓ, m_order), 0,
-                            m_order, nₘₐₓ, ϑᵥ[i];
-                            deriv = view(τ, i, abs(m_order):nₘₐₓ, m_order))
+            m_order, nₘₐₓ, ϑᵥ[i];
+            deriv = view(τ, i, abs(m_order):nₘₐₓ, m_order))
         for n in max(abs(m_order), 1):nₘₐₓ
             𝜋[i, n, m_order] = pi_func(RT, m_order, n, ϑᵥ[i];
-                                       d = d[i, n, m_order])
+                d = d[i, n, m_order])
         end
     end
 
@@ -1090,13 +1079,13 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
         for j in wavenumber_indices
             ∂kr[j] = ∂k[j] * r
             _iitm_ricatti_argument_derivatives!(∂ψs[j], ∂ψ′s[j], ψ, ψ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
             _iitm_ricatti_argument_derivatives!(∂χs[j], ∂χ′s[j], χ, χ′, kr,
-                                                ∂kr[j])
+                ∂kr[j])
         end
         shell_data = _iitm_ordered_shell_data(s, r, xᵥ, ϑᵥ, xφ, m, ∂m,
-                                              nₘₐₓ, wφ, fourier_workspace,
-                                              fourier_modes, material_indices)
+            nₘₐₓ, wφ, fourier_workspace,
+            fourier_modes, material_indices)
 
         for (g, group) in enumerate(order_groups)
             𝐉 = 𝐉_groups[g]
@@ -1108,23 +1097,23 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
             ∂𝐆s = ∂𝐆_groups[g]
             ∂𝐔s = ∂𝐔_groups[g]
             _iitm_fill_ordered_radial_blocks!(𝐉, 𝐇, 𝐆, ∂𝐉s, ∂𝐇s, ∂𝐆s,
-                                              ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s,
-                                              ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
-                                              a½, group, wavenumber_indices)
+                ψ, ψ′, χ, χ′, ∂ψs, ∂ψ′s,
+                ∂χs, ∂χ′s, kr, ∂kr, k, ∂k,
+                a½, group, wavenumber_indices)
             _iitm_ordered_shell_u!(𝐔, ∂𝐔s, s, r, xᵥ, wᵥ, ϑᵥ, xφ, wφ, d,
-                                   𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, group,
-                                   RT(N) / (2 * RT(π)), fourier_workspace,
-                                   fourier_modes, shell_data, ∂Us_groups[g])
+                𝜋, τ, a½, A, k, ∂k, m, ∂m, nₘₐₓ, group,
+                RT(N) / (2 * RT(π)), fourier_workspace,
+                fourier_modes, shell_data, ∂Us_groups[g])
             _iitm_update_general_block!(𝐓s[g], ∂𝐓s_by_group[g],
-                                        𝐉, 𝐇, 𝐆, 𝐔, ∂𝐉s, ∂𝐇s, ∂𝐆s, ∂𝐔s,
-                                        wri, k, ∂k, 𝐓_old_groups[g])
+                𝐉, 𝐇, 𝐆, 𝐔, ∂𝐉s, ∂𝐇s, ∂𝐆s, ∂𝐔s,
+                wri, k, ∂k, 𝐓_old_groups[g])
         end
     end
 
     value_container = OffsetArray(zeros(CT, 2nₘₐₓ + 1, nₘₐₓ, 2nₘₐₓ + 1,
-                                        nₘₐₓ, 2, 2),
-                                  (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ,
-                                  1:nₘₐₓ, 1:2, 1:2)
+            nₘₐₓ, 2, 2),
+        (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ,
+        1:nₘₐₓ, 1:2, 1:2)
     derivative_containers = [similar(value_container) for _ in 1:pvars]
     for container in derivative_containers
         fill!(container, zero(CT))
@@ -1135,9 +1124,9 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
         value_container .= value_container .+ partial
         for j in 1:pvars
             derivative_containers[j] .= derivative_containers[j] .+
-                                       _iitm_repack_transition_matrix(∂𝐓s_by_var[j][g],
-                                                                     group,
-                                                                     nₘₐₓ)
+                                        _iitm_repack_transition_matrix(∂𝐓s_by_var[j][g],
+                group,
+                nₘₐₓ)
         end
     end
 
@@ -1146,25 +1135,25 @@ function _iitm_nfold_fixed_geometry_linearization(input, variables)
                 for container in derivative_containers]
 
     return LinearizationResult(value, jacobian, variables;
-                               metadata = (; backend = :iitm_nfold_analytic,
-                                           variant = :nfold,
-                                           λ = input.λ,
-                                           nₘₐₓ,
-                                           Nr,
-                                           Nϑ = Nϑ_config,
-                                           Nφ))
+        metadata = (; backend = :iitm_nfold_analytic,
+            variant = :nfold,
+            λ = input.λ,
+            nₘₐₓ,
+            Nr,
+            Nϑ = Nϑ_config,
+            Nφ))
 end
 
 function supports_linearization(problem::LinearizationProblem,
-                                backend::IITMLinearization;
-                                output::Symbol = :transition_matrix,
-                                config = nothing)
+        backend::IITMLinearization;
+        output::Symbol = :transition_matrix,
+        config = nothing)
     output == :transition_matrix ||
         return LinearizationSupport(false,
-                                    "IITM analytical linearization only supports transition matrices")
+            "IITM analytical linearization only supports transition matrices")
     backend.variant in (:auto, :axisymmetric, :nfold, :arbitrary) ||
         return LinearizationSupport(false,
-                                    "IITM analytical linearization variant must be :auto, :axisymmetric, :nfold, or :arbitrary")
+            "IITM analytical linearization variant must be :auto, :axisymmetric, :nfold, or :arbitrary")
 
     input = try
         _iitm_linearization_input(problem, config)
@@ -1173,53 +1162,53 @@ function supports_linearization(problem::LinearizationProblem,
     end
     isnothing(input) &&
         return LinearizationSupport(false,
-                                    "IITM analytical linearization requires shape, λ, nₘₐₓ, Nr, and Nϑ")
+            "IITM analytical linearization requires shape, λ, nₘₐₓ, Nr, and Nϑ")
     hasproperty(input.shape, :m) ||
         return LinearizationSupport(false,
-                                    "IITM fixed-geometry analytical linearization requires shapes with an `m` material field")
+            "IITM fixed-geometry analytical linearization requires shapes with an `m` material field")
     variant = _iitm_effective_variant(input, backend)
     if variant == :axisymmetric
         input.shape isa AbstractAxisymmetricShape ||
             return LinearizationSupport(false,
-                                        "IITM axisymmetric analytical linearization requires an axisymmetric shape")
+                "IITM axisymmetric analytical linearization requires an axisymmetric shape")
     elseif variant == :nfold
         input.shape isa AbstractNFoldShape ||
             return LinearizationSupport(false,
-                                        "IITM nfold analytical linearization requires an n-fold shape")
+                "IITM nfold analytical linearization requires an n-fold shape")
         isnothing(input.Nφ) &&
             return LinearizationSupport(false,
-                                        "IITM nfold analytical linearization requires Nφ")
+                "IITM nfold analytical linearization requires Nφ")
     elseif variant == :arbitrary
         input.shape isa AbstractShape ||
             return LinearizationSupport(false,
-                                        "IITM arbitrary analytical linearization requires an AbstractShape")
+                "IITM arbitrary analytical linearization requires an AbstractShape")
         isnothing(input.Nφ) &&
             return LinearizationSupport(false,
-                                        "IITM arbitrary analytical linearization requires Nφ")
+                "IITM arbitrary analytical linearization requires Nφ")
     else
         return LinearizationSupport(false,
-                                    "IITM analytical linearization variant must be :auto, :axisymmetric, :nfold, or :arbitrary")
+            "IITM analytical linearization variant must be :auto, :axisymmetric, :nfold, or :arbitrary")
     end
     _linearization_variables_supported(variables(problem),
-                                       _IITM_FIXED_GEOMETRY_LINEARIZATION_VARIABLES) ||
+        _IITM_FIXED_GEOMETRY_LINEARIZATION_VARIABLES) ||
         return LinearizationSupport(false,
-                                    "IITM fixed-geometry analytical linearization supports unique canonical variables drawn from $(_iitm_variable_list_message(_IITM_FIXED_GEOMETRY_LINEARIZATION_VARIABLES))")
+            "IITM fixed-geometry analytical linearization supports unique canonical variables drawn from $(_iitm_variable_list_message(_IITM_FIXED_GEOMETRY_LINEARIZATION_VARIABLES))")
 
     return LinearizationSupport(true, "")
 end
 
 function _checked_iitm_linearization_input(problem::LinearizationProblem,
-                                           backend::IITMLinearization,
-                                           config)
+        backend::IITMLinearization,
+        config)
     support = supports_linearization(problem, backend; output = :transition_matrix,
-                                     config)
+        config)
     Bool(support) ||
         throw(UnsupportedLinearization(backend, :transition_matrix, support.reason))
     return _iitm_linearization_input(problem, config)
 end
 
 function linearize_transition_matrix(problem::LinearizationProblem,
-                                     backend::IITMLinearization; config = nothing)
+        backend::IITMLinearization; config = nothing)
     input = _checked_iitm_linearization_input(problem, backend, config)
     variant = _iitm_effective_variant(input, backend)
     if variant == :axisymmetric
diff --git a/src/IITM/nfold.jl b/src/IITM/nfold.jl
index 48da38d..86283d5 100644
--- a/src/IITM/nfold.jl
+++ b/src/IITM/nfold.jl
@@ -23,7 +23,7 @@ Returns:
 - `𝐓`: an `AxisymmetricTransitionMatrix` struct representing the T-Matrix.
 """
 function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ, Nr, Nϑ,
-                                Nφ; rₘᵢₙ = rmin(s)) where {N, T, CT}
+        Nφ; rₘᵢₙ = rmin(s)) where {N, T, CT}
     k = 2 * T(π) / λ
     rₘₐₓ = rmax(s)
 
@@ -69,8 +69,9 @@ function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ,
     τ = similar(d)
 
     Threads.@threads for (i, m) in collect(Iterators.product(1:Nϑ, (-nₘₐₓ):nₘₐₓ))
-        TransitionMatrices.wigner_d_recursion!(view(d, i, abs(m):nₘₐₓ, m), 0, m, nₘₐₓ, ϑ[i];
-                                               deriv = view(τ, i, abs(m):nₘₐₓ, m))
+        TransitionMatrices.wigner_d_recursion!(
+            view(d, i, abs(m):nₘₐₓ, m), 0, m, nₘₐₓ, ϑ[i];
+            deriv = view(τ, i, abs(m):nₘₐₓ, m))
 
         for n in max(abs(m), 1):nₘₐₓ
             𝜋[i, n, m] = TransitionMatrices.pi_func(T, m, n, ϑ[i]; d = d[i, n, m])
@@ -129,12 +130,12 @@ function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ,
 
         # Calculate for each point whether it is within the scatterer
         ε = [refractive_index(s,
-                              (r * sin(ϑ[i]) * cos(φ), r * sin(ϑ[i]) * sin(φ),
-                               r * x[i]))^2 for φ in xφ, i in 1:Nϑ]
+                 (r * sin(ϑ[i]) * cos(φ), r * sin(ϑ[i]) * sin(φ),
+                     r * x[i]))^2 for φ in xφ, i in 1:Nϑ]
         fourier_coeffs = CT <: ComplexF64 ?
                          _azimuthal_fourier_coefficients(ε, nₘₐₓ, wφ,
-                                                         fourier_workspace,
-                                                         fourier_modes) : nothing
+            fourier_workspace,
+            fourier_modes) : nothing
 
         # Calculate for each rem
         for (𝐓, 𝐉, 𝐇, 𝐆, 𝐔, it) in zip(𝐓s, 𝐉s, 𝐇s, 𝐆s, 𝐔s, its)
@@ -170,8 +171,8 @@ function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ,
                             cε = coeff_ε[freq, i]
                             cεinv = coeff_εinv[freq, i]
                             U += w[i] * @SMatrix [c*pptt*cε -c̃*im*pttp*cε 0
-                                                  c̃*im*pttp*cε c*pptt*cε 0
-                                                  0 0 c * a½[n] * a½[n′] * dd*cεinv]
+                                           c̃*im*pttp*cε c*pptt*cε 0
+                                           0 0 c * a½[n] * a½[n′] * dd * cεinv]
                         end
                     end
 
@@ -180,7 +181,7 @@ function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ,
                 end
             end
 
-            𝐐 = wri * inv(𝐈 - wri * 𝐔 * 𝐆) * 𝐔
+            𝐐 = wri * _iitm_ldiv(𝐈 - wri * 𝐔 * 𝐆, 𝐔)
             𝐐ⱼⱼ = im * k * transpose(𝐉) * 𝐐 * 𝐉
             𝐐ⱼₕ = im * k * transpose(𝐉) * 𝐐 * 𝐇
             𝐐ₕⱼ = im * k * transpose(𝐇) * 𝐐 * 𝐉
@@ -191,12 +192,12 @@ function transition_matrix_iitm(s::AbstractNFoldShape{N, T, CT}, λ, nₘₐₓ,
             # Eq (2.40) in Doicu & Wriedt (2018)
             # Eq (5.71) in Hu (2018)
             # Eq (4.2.36) in Sun et al. (2019) Note: incorrect multiplication order
-            𝐓 .= 𝐐ⱼⱼ + (𝐈 + 𝐐ⱼₕ) * inv(𝐈 - 𝐓 * 𝐐ₕₕ) * 𝐓 * (𝐈 + 𝐐ₕⱼ)
+            𝐓 .= 𝐐ⱼⱼ + (𝐈 + 𝐐ⱼₕ) * _iitm_ldiv(𝐈 - 𝐓 * 𝐐ₕₕ, 𝐓) * (𝐈 + 𝐐ₕⱼ)
         end
     end
 
     𝐓′ = OffsetArray(zeros(CT, 2nₘₐₓ + 1, nₘₐₓ, 2nₘₐₓ + 1, nₘₐₓ, 2, 2), (-nₘₐₓ):nₘₐₓ,
-                     1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2, 1:2)
+        1:nₘₐₓ, (-nₘₐₓ):nₘₐₓ, 1:nₘₐₓ, 1:2, 1:2)
 
     for (𝐓, it) in zip(𝐓s, its)
         Threads.@threads for (j, (n′, m′)) in it
diff --git a/src/Mie/MieTransitionMatrix.jl b/src/Mie/MieTransitionMatrix.jl
index f225303..d082a9b 100644
--- a/src/Mie/MieTransitionMatrix.jl
+++ b/src/Mie/MieTransitionMatrix.jl
@@ -36,16 +36,16 @@ function MieTransitionMatrix{CT, N}(x::Real, m::Number) where {CT, N}
 end
 
 function MieTransitionMatrix{CT, N}(x_core::Real, x_mantle::Real, m_core::Number,
-                                    m_mantle::Number) where {CT, N}
+        m_mantle::Number) where {CT, N}
     T = real(CT)
     a, b = bhcoat(T, x_core, x_mantle, m_core, m_mantle; nₘₐₓ = N)
     MieTransitionMatrix{CT, N, Vector{CT}}(a, b)
 end
 
 Base.@propagate_inbounds function Base.getindex(mie::MieTransitionMatrix{CT, N, V},
-                                                m::Integer, n::Integer, m′::Integer,
-                                                n′::Integer, p::Integer,
-                                                p′::Integer) where {CT, N, V}
+        m::Integer, n::Integer, m′::Integer,
+        n′::Integer, p::Integer,
+        p′::Integer) where {CT, N, V}
     if m != m′ || n != n′ || p != p′ || abs(m) > n
         zero(CT)
     else
@@ -72,7 +72,7 @@ The T-Matrix of a Mie scatterer is invariant under rotation. Therefore, the orig
 orientation_average(mie::MieTransitionMatrix, _pₒ; _kwargs...) = mie
 
 function scattering_cross_section(mie::MieTransitionMatrix{CT, N, V},
-                                  λ = 2π) where {CT, N, V}
+        λ = 2π) where {CT, N, V}
     Cˢᶜᵃ = zero(real(CT))
 
     @inbounds for n in 1:N
@@ -83,7 +83,7 @@ function scattering_cross_section(mie::MieTransitionMatrix{CT, N, V},
 end
 
 function extinction_cross_section(mie::MieTransitionMatrix{CT, N, V},
-                                  λ = 2π) where {CT, N, V}
+        λ = 2π) where {CT, N, V}
     Cᵉˣᵗ = zero(real(CT))
 
     @inbounds for n in 1:N
@@ -94,7 +94,7 @@ function extinction_cross_section(mie::MieTransitionMatrix{CT, N, V},
 end
 
 function amplitude_matrix(mie::MieTransitionMatrix{CT, N, V}, ϑᵢ, φᵢ, ϑₛ, φₛ;
-                          λ = 2π) where {CT, N, V}
+        λ = 2π) where {CT, N, V}
     T = real(CT)
     k₁ = 2π / λ
     𝐒₁₁, 𝐒₁₂, 𝐒₂₁, 𝐒₂₂ = zero(CT), zero(CT), zero(CT), zero(CT)
@@ -112,9 +112,9 @@ function amplitude_matrix(mie::MieTransitionMatrix{CT, N, V}, ϑᵢ, φᵢ, ϑ
 
     for m in 0:N
         wigner_d_recursion!(view(πᵢ, m, m:N), 0, m, N, ϑᵢ;
-                            deriv = view(τᵢ, m, m:N))
+            deriv = view(τᵢ, m, m:N))
         wigner_d_recursion!(view(πₛ, m, m:N), 0, m, N, ϑₛ;
-                            deriv = view(τₛ, m, m:N))
+            deriv = view(τₛ, m, m:N))
     end
 
     for n in 1:N
@@ -160,21 +160,21 @@ end
     @testset "of a homogeneous sphere remains the same under rotations" begin
         𝐓 = MieTransitionMatrix{ComplexF64, 5}(1.0, 1.311)
         @test all(isapprox.(𝐓,
-                            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
-                                   RotZYZ(0.2, 0.3, 0.4)); atol = eps(Float64)))
+            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
+                RotZYZ(0.2, 0.3, 0.4)); atol = eps(Float64)))
         @test all(isapprox.(𝐓,
-                            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
-                                   RotZYZ(0.8, 0.0, -1.0)); atol = eps(Float64)))
+            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
+                RotZYZ(0.8, 0.0, -1.0)); atol = eps(Float64)))
     end
 
     @testset "of a coated sphere remains the same under rotations" begin
         𝐓 = MieTransitionMatrix{ComplexF64, 5}(0.4, 0.8, 1.0, 1.311)
         @test all(isapprox.(𝐓,
-                            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
-                                   RotZYZ(0.2, 0.3, 0.4)); atol = eps(Float64)))
+            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
+                RotZYZ(0.2, 0.3, 0.4)); atol = eps(Float64)))
         @test all(isapprox.(𝐓,
-                            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
-                                   RotZYZ(0.8, 0.0, -1.0)); atol = eps(Float64)))
+            rotate(TransitionMatrix{ComplexF64, 5, typeof(𝐓)}(𝐓),
+                RotZYZ(0.8, 0.0, -1.0)); atol = eps(Float64)))
     end
 end
 
@@ -190,5 +190,5 @@ end
     @test scattering_cross_section(𝐓, λ) ≈ scattering_cross_section(𝐓_fallback, λ)
     @test extinction_cross_section(𝐓, λ) ≈ extinction_cross_section(𝐓_fallback, λ)
     @test all(isapprox.(amplitude_matrix(𝐓, angles...; λ = λ),
-                        amplitude_matrix(𝐓_fallback, angles...; λ = λ)))
+        amplitude_matrix(𝐓_fallback, angles...; λ = λ)))
 end
diff --git a/src/Mie/bhcoat.jl b/src/Mie/bhcoat.jl
index c94c884..dc2f50c 100644
--- a/src/Mie/bhcoat.jl
+++ b/src/Mie/bhcoat.jl
@@ -25,11 +25,11 @@ References:
 - Bohren, C.F., Huffman, D.R., 1983. Absorption and scattering of light by small particles. John Wiley & Sons.
 """
 function bhcoat(T, xᵢₙ,
-                xₒᵤₜ, mᵢₙ, mₒᵤₜ;
-                nₘₐₓ = ceil(Int,
-                            max(xₒᵤₜ + 4 * ∛xₒᵤₜ + 2,
-                                xₒᵤₜ * max(abs(mᵢₙ), abs(mₒᵤₜ)))),
-                tolerance = 1e-8)
+        xₒᵤₜ, mᵢₙ, mₒᵤₜ;
+        nₘₐₓ = ceil(Int,
+            max(xₒᵤₜ + 4 * ∛xₒᵤₜ + 2,
+                xₒᵤₜ * max(abs(mᵢₙ), abs(mₒᵤₜ)))),
+        tolerance = 1e-8)
     @assert xₒᵤₜ>=xᵢₙ "xₒᵤₜ must be greater than or equal to xᵢₙ"
 
     C = complex(T)
@@ -127,10 +127,10 @@ function bhcoat(T, xᵢₙ,
 end
 
 function bhcoat(xᵢₙ, xₒᵤₜ, mᵢₙ, mₒᵤₜ;
-                nₘₐₓ = ceil(Int,
-                            max(xₒᵤₜ + 4 * ∛xₒᵤₜ + 2,
-                                xₒᵤₜ * max(abs(mᵢₙ), abs(mₒᵤₜ)))),
-                tolerance = 1e-8)
+        nₘₐₓ = ceil(Int,
+            max(xₒᵤₜ + 4 * ∛xₒᵤₜ + 2,
+                xₒᵤₜ * max(abs(mᵢₙ), abs(mₒᵤₜ)))),
+        tolerance = 1e-8)
     bhcoat(Float64, xᵢₙ, xₒᵤₜ, mᵢₙ, mₒᵤₜ; nₘₐₓ = nₘₐₓ, tolerance = tolerance)
 end
 
@@ -139,7 +139,7 @@ end
 
     @testset "converges to bhmie when x = $x, m = $m" for (x, m) in [
         (1.0, 1.311),
-        (2.0, 1.5 + 0.01im),
+        (2.0, 1.5 + 0.01im)
     ]
         am, bm = bhmie(x, m)
         ac, bc = bhcoat(x, x, m, m)
diff --git a/src/Mie/linearization.jl b/src/Mie/linearization.jl
index 722d474..aa1a754 100644
--- a/src/Mie/linearization.jl
+++ b/src/Mie/linearization.jl
@@ -4,21 +4,21 @@ const _MIE_LINEARIZATION_SUPPORTED_OUTPUTS = (
     :extinction_cross_section,
     :absorption_cross_section,
     :albedo,
-    :amplitude_matrix,
+    :amplitude_matrix
 )
 const _MIE_LINEARIZATION_VARIABLES = (:x, :mᵣ, :mᵢ, :λ)
 
 function _mie_linearization_input(problem::LinearizationProblem, config)
     rebuilt = rebuild(problem)
     x = _linearization_property(config, :x;
-                                default = _linearization_property(rebuilt, :x))
+        default = _linearization_property(rebuilt, :x))
     m = _linearization_property(config, :m;
-                                default = _linearization_property(rebuilt, :m))
+        default = _linearization_property(rebuilt, :m))
     nₘₐₓ = _linearization_property(config, :nₘₐₓ;
-                                   default = _linearization_property(rebuilt, :nₘₐₓ))
+        default = _linearization_property(rebuilt, :nₘₐₓ))
     λ = _linearization_property(config, :λ;
-                                default = _linearization_property(rebuilt, :λ;
-                                                                  default = 2π))
+        default = _linearization_property(rebuilt, :λ;
+            default = 2π))
 
     if isnothing(x) || isnothing(m) || isnothing(nₘₐₓ)
         return nothing
@@ -64,8 +64,8 @@ function _mie_amplitude_angles(config)
 end
 
 function supports_linearization(problem::LinearizationProblem, ::MieLinearization;
-                                output::Symbol = :transition_matrix,
-                                config = nothing)
+        output::Symbol = :transition_matrix,
+        config = nothing)
     input = try
         _mie_linearization_input(problem, config)
     catch err
@@ -73,15 +73,15 @@ function supports_linearization(problem::LinearizationProblem, ::MieLinearizatio
     end
     isnothing(input) &&
         return LinearizationSupport(false,
-                                    "Mie linearization requires x, m, and nₘₐₓ")
+            "Mie linearization requires x, m, and nₘₐₓ")
     isnothing(_mie_linearization_variable_derivatives(problem)) &&
         return LinearizationSupport(false,
-                                    "Mie linearization supports unique canonical variables drawn from :x, :mᵣ, :mᵢ, and :λ")
+            "Mie linearization supports unique canonical variables drawn from :x, :mᵣ, :mᵢ, and :λ")
     output in _MIE_LINEARIZATION_SUPPORTED_OUTPUTS ||
         return LinearizationSupport(false, "Mie linearization does not support output :$output")
     output == :amplitude_matrix && isnothing(_mie_amplitude_angles(config)) &&
         return LinearizationSupport(false,
-                                    "Mie amplitude matrix linearization requires angle config")
+            "Mie amplitude matrix linearization requires angle config")
 
     return LinearizationSupport(true, "")
 end
@@ -154,13 +154,13 @@ function _bhmie_linearized(::Type{T}, x, m, nₘₐₓ::Integer, ẋ, ṁ) where
             numerator_dot = Ȧ * ψ + A * ψ̇ - ψ̇₁[j]
             denominator_dot = Ȧ * ξ + A * ξ̇ - ξ̇₁[j]
             ȧ[n, j] = (numerator_dot * denominator_a -
-                       numerator_a * denominator_dot) / denominator_a^2
+                        numerator_a * denominator_dot) / denominator_a^2
 
             Ḃ = ḋ[n, j] * m + d[n] * ṁ[j] - n * ẋ[j] / x^2
             numerator_dot = Ḃ * ψ + B * ψ̇ - ψ̇₁[j]
             denominator_dot = Ḃ * ξ + B * ξ̇ - ξ̇₁[j]
             ḃ[n, j] = (numerator_dot * denominator_b -
-                       numerator_b * denominator_dot) / denominator_b^2
+                        numerator_b * denominator_dot) / denominator_b^2
         end
 
         a[n] = numerator_a / denominator_a
@@ -180,38 +180,38 @@ function _bhmie_linearized(::Type{T}, x, m, nₘₐₓ::Integer, ẋ, ṁ) where
 end
 
 function _checked_mie_linearization_input(problem::LinearizationProblem,
-                                          backend::MieLinearization,
-                                          output::Symbol,
-                                          config)
+        backend::MieLinearization,
+        output::Symbol,
+        config)
     output in _MIE_LINEARIZATION_SUPPORTED_OUTPUTS ||
         throw(UnsupportedLinearization(backend, output,
-                                       "Mie linearization does not support output :$output"))
+            "Mie linearization does not support output :$output"))
 
     input = try
         _mie_linearization_input(problem, config)
     catch err
         throw(UnsupportedLinearization(backend, output,
-                                       "failed to rebuild Mie input: $err"))
+            "failed to rebuild Mie input: $err"))
     end
     isnothing(input) &&
         throw(UnsupportedLinearization(backend, output,
-                                       "Mie linearization requires x, m, and nₘₐₓ"))
+            "Mie linearization requires x, m, and nₘₐₓ"))
 
     variable_derivatives = _mie_linearization_variable_derivatives(problem)
     isnothing(variable_derivatives) &&
         throw(UnsupportedLinearization(backend, output,
-                                       "Mie linearization supports unique canonical variables drawn from :x, :mᵣ, :mᵢ, and :λ"))
+            "Mie linearization supports unique canonical variables drawn from :x, :mᵣ, :mᵢ, and :λ"))
     output == :amplitude_matrix && isnothing(_mie_amplitude_angles(config)) &&
         throw(UnsupportedLinearization(backend, output,
-                                       "Mie amplitude matrix linearization requires angle config"))
+            "Mie amplitude matrix linearization requires angle config"))
 
     return input, variable_derivatives
 end
 
 function _mie_transition_linearization_data(problem::LinearizationProblem,
-                                            backend::MieLinearization,
-                                            config;
-                                            output::Symbol = :transition_matrix)
+        backend::MieLinearization,
+        config;
+        output::Symbol = :transition_matrix)
     input, (ẋ, ṁ, λ̇) = _checked_mie_linearization_input(problem, backend, output, config)
     T = typeof(float(real(input.x)))
     CT = complex(T)
@@ -223,18 +223,18 @@ function _mie_transition_linearization_data(problem::LinearizationProblem,
                 for j in 1:length(variables(problem))]
 
     result = LinearizationResult(value, jacobian, variables(problem);
-                                 metadata = (; backend = :mie, λ = input.λ))
+        metadata = (; backend = :mie, λ = input.λ))
     return result, input, λ̇
 end
 
 function _mie_transition_linearization(problem::LinearizationProblem,
-                                       backend::MieLinearization, config)
+        backend::MieLinearization, config)
     result, _, _ = _mie_transition_linearization_data(problem, backend, config)
     return result
 end
 
 function linearize_transition_matrix(problem::LinearizationProblem,
-                                     backend::MieLinearization; config = nothing)
+        backend::MieLinearization; config = nothing)
     return _mie_transition_linearization(problem, backend, config)
 end
 
@@ -261,7 +261,7 @@ function _mie_cross_section_linearization(result::LinearizationResult, λ, λ̇,
             ∂T = result.jacobian[j]
             if kind == :scattering
                 basė[j] += weight * 2real(conj(mie.a[n]) * ∂T.a[n] +
-                                           conj(mie.b[n]) * ∂T.b[n])
+                                  conj(mie.b[n]) * ∂T.b[n])
             else
                 basė[j] += weight * real(∂T.a[n] + ∂T.b[n])
             end
@@ -293,7 +293,7 @@ function _mie_cross_section_pair_linearization(result::LinearizationResult, λ,
         for j in 1:p
             ∂T = result.jacobian[j]
             scattering_basė[j] += weight * 2real(conj(mie.a[n]) * ∂T.a[n] +
-                                                  conj(mie.b[n]) * ∂T.b[n])
+                                         conj(mie.b[n]) * ∂T.b[n])
             extinction_basė[j] += weight * real(∂T.a[n] + ∂T.b[n])
         end
     end
@@ -301,58 +301,62 @@ function _mie_cross_section_pair_linearization(result::LinearizationResult, λ,
     scattering_jacobian = @. scattering_basė * scale + scattering_base * scalė
     extinction_jacobian = @. extinction_basė * scale + extinction_base * scalė
     return (; scattering = scattering_base * scale,
-            scattering_jacobian,
-            extinction = extinction_base * scale,
-            extinction_jacobian)
+        scattering_jacobian,
+        extinction = extinction_base * scale,
+        extinction_jacobian)
 end
 
 function linearize_observable(::typeof(scattering_cross_section),
-                              problem::LinearizationProblem,
-                              backend::MieLinearization; config = nothing)
-    result, input, λ̇ = _mie_transition_linearization_data(problem, backend, config;
-                                                          output = :scattering_cross_section)
+        problem::LinearizationProblem,
+        backend::MieLinearization; config = nothing)
+    result, input,
+    λ̇ = _mie_transition_linearization_data(problem, backend, config;
+        output = :scattering_cross_section)
     value, jacobian = _mie_cross_section_linearization(result, input.λ, λ̇, :scattering)
     return LinearizationResult(value, jacobian, variables(problem);
-                               metadata = (; backend = :mie,
-                                           observable = :scattering_cross_section))
+        metadata = (; backend = :mie,
+            observable = :scattering_cross_section))
 end
 
 function linearize_observable(::typeof(extinction_cross_section),
-                              problem::LinearizationProblem,
-                              backend::MieLinearization; config = nothing)
-    result, input, λ̇ = _mie_transition_linearization_data(problem, backend, config;
-                                                          output = :extinction_cross_section)
+        problem::LinearizationProblem,
+        backend::MieLinearization; config = nothing)
+    result, input,
+    λ̇ = _mie_transition_linearization_data(problem, backend, config;
+        output = :extinction_cross_section)
     value, jacobian = _mie_cross_section_linearization(result, input.λ, λ̇, :extinction)
     return LinearizationResult(value, jacobian, variables(problem);
-                               metadata = (; backend = :mie,
-                                           observable = :extinction_cross_section))
+        metadata = (; backend = :mie,
+            observable = :extinction_cross_section))
 end
 
 function linearize_observable(::typeof(absorption_cross_section),
-                              problem::LinearizationProblem,
-                              backend::MieLinearization; config = nothing)
-    result, input, λ̇ = _mie_transition_linearization_data(problem, backend, config;
-                                                          output = :absorption_cross_section)
+        problem::LinearizationProblem,
+        backend::MieLinearization; config = nothing)
+    result, input,
+    λ̇ = _mie_transition_linearization_data(problem, backend, config;
+        output = :absorption_cross_section)
     cross_sections = _mie_cross_section_pair_linearization(result, input.λ, λ̇)
     return LinearizationResult(cross_sections.extinction - cross_sections.scattering,
-                               cross_sections.extinction_jacobian -
-                               cross_sections.scattering_jacobian,
-                               variables(problem);
-                               metadata = (; backend = :mie,
-                                           observable = :absorption_cross_section))
+        cross_sections.extinction_jacobian -
+        cross_sections.scattering_jacobian,
+        variables(problem);
+        metadata = (; backend = :mie,
+            observable = :absorption_cross_section))
 end
 
 function linearize_observable(::typeof(albedo), problem::LinearizationProblem,
-                              backend::MieLinearization; config = nothing)
-    result, input, λ̇ = _mie_transition_linearization_data(problem, backend, config;
-                                                          output = :albedo)
+        backend::MieLinearization; config = nothing)
+    result, input,
+    λ̇ = _mie_transition_linearization_data(problem, backend, config;
+        output = :albedo)
     cross_sections = _mie_cross_section_pair_linearization(result, input.λ, λ̇)
     value = cross_sections.scattering / cross_sections.extinction
     jacobian = @. (cross_sections.scattering_jacobian * cross_sections.extinction -
-                  cross_sections.scattering * cross_sections.extinction_jacobian) /
-                 cross_sections.extinction^2
+                   cross_sections.scattering * cross_sections.extinction_jacobian) /
+                  cross_sections.extinction^2
     return LinearizationResult(value, jacobian, variables(problem);
-                               metadata = (; backend = :mie, observable = :albedo))
+        metadata = (; backend = :mie, observable = :albedo))
 end
 
 function _mie_amplitude_matrix_linearization(result::LinearizationResult, λ, λ̇, angles)
@@ -375,9 +379,9 @@ function _mie_amplitude_matrix_linearization(result::LinearizationResult, λ, λ
 
     for m in 0:N
         wigner_d_recursion!(view(πᵢ, m, m:N), 0, m, N, ϑᵢ;
-                            deriv = view(τᵢ, m, m:N))
+            deriv = view(τᵢ, m, m:N))
         wigner_d_recursion!(view(πₛ, m, m:N), 0, m, N, ϑₛ;
-                            deriv = view(τₛ, m, m:N))
+            deriv = view(τₛ, m, m:N))
     end
 
     for m in 0:N
@@ -447,14 +451,15 @@ function _mie_amplitude_matrix_linearization(result::LinearizationResult, λ, λ
 end
 
 function linearize_observable(::typeof(amplitude_matrix),
-                              problem::LinearizationProblem,
-                              backend::MieLinearization; config = nothing)
-    result, input, λ̇ = _mie_transition_linearization_data(problem, backend, config;
-                                                          output = :amplitude_matrix)
+        problem::LinearizationProblem,
+        backend::MieLinearization; config = nothing)
+    result, input,
+    λ̇ = _mie_transition_linearization_data(problem, backend, config;
+        output = :amplitude_matrix)
     angles = _mie_amplitude_angles(config)
     value, jacobian = _mie_amplitude_matrix_linearization(result, input.λ, λ̇, angles)
 
     return LinearizationResult(value, jacobian, variables(problem);
-                               metadata = (; backend = :mie,
-                                           observable = :amplitude_matrix))
+        metadata = (; backend = :mie,
+            observable = :amplitude_matrix))
 end
diff --git a/src/TransitionMatrices.jl b/src/TransitionMatrices.jl
index 057f03a..6af0e58 100644
--- a/src/TransitionMatrices.jl
+++ b/src/TransitionMatrices.jl
@@ -28,6 +28,7 @@ include("linearization.jl")
 include("Mie/index.jl")
 include("EBCM/index.jl")
 include("IITM/index.jl")
+include("solvers.jl")
 
 # Various types of transition matrices
 export AbstractTransitionMatrix, TransitionMatrix, RandomOrientationTransitionMatrix,
@@ -46,7 +47,10 @@ export OrderDegreeIterator, rotate, amplitude_matrix, phase_matrix, scattering_m
        absorption_cross_section,
        albedo, asymmetry_parameter,
        transition_matrix, transition_matrix_m, transition_matrix_m₀,
-       transition_matrix_iitm
+       transition_matrix_iitm, prepare_sh, transition_matrix_spectrum,
+       ShPreparation,
+       AbstractSolver, AbstractFixedSolver, EBCM, IITM, ShMatrix,
+       Iterative, ConvergencePolicy
 
 # Utility functions (short names)
 const calc_T = transition_matrix
diff --git a/src/common/AbstractTransitionMatrix.jl b/src/common/AbstractTransitionMatrix.jl
index 930ce85..d2d735e 100644
--- a/src/common/AbstractTransitionMatrix.jl
+++ b/src/common/AbstractTransitionMatrix.jl
@@ -54,7 +54,7 @@ function rotate(𝐓::AbstractTransitionMatrix{CT, N}, rot::Rotation{3}) where {
 
     # Calculate the coefficients used for wigner-D functions
     coeff = OffsetArray([cis(-(m * α + m′ * γ)) for m in (-N):N, m′ in (-N):N], (-N):N,
-                        (-N):N)
+        (-N):N)
 
     # Calculate the rotated T-Matrix
     𝐓′ = similar(𝐓)
@@ -63,8 +63,10 @@ function rotate(𝐓::AbstractTransitionMatrix{CT, N}, rot::Rotation{3}) where {
     # Enable multi-threading
     Threads.@threads for (n′, m′) in OrderDegreeIterator(N)
         for p in 1:2, p′ in 1:2
+
             for (n, m) in OrderDegreeIterator(N)
                 for m₂ in (-n′):n′, m₁ in (-n):n
+
                     sig = iseven(m′ + m₂) ? 1 : -1
                     𝐓′[m, n, m′, n′, p, p′] += coeff[m, m₁] * d[m, m₁, n] *
                                                conj(coeff[m′, m₂]) * d[m₂, m′, n′] * sig *
@@ -123,7 +125,7 @@ Where
 ```
 """
 function amplitude_matrix(𝐓::AbstractTransitionMatrix{CT, N}, ϑᵢ, φᵢ, ϑₛ, φₛ;
-                          λ = 2π) where {CT, N}
+        λ = 2π) where {CT, N}
     T = real(CT)
     k₁ = 2π / λ
     𝐒₁₁, 𝐒₁₂, 𝐒₂₁, 𝐒₂₂ = zero(CT), zero(CT), zero(CT), zero(CT)
@@ -134,12 +136,12 @@ function amplitude_matrix(𝐓::AbstractTransitionMatrix{CT, N}, ϑᵢ, φᵢ, 
     τₛ = OffsetArray(zeros(T, 2N + 1, N + 1), (-N):N, 0:N)
     for m in 0:N
         wigner_d_recursion!(view(πᵢ, m, m:N),
-                            0, m, N, ϑᵢ;
-                            deriv = view(τᵢ, m, m:N))
+            0, m, N, ϑᵢ;
+            deriv = view(τᵢ, m, m:N))
 
         wigner_d_recursion!(view(πₛ, m, m:N),
-                            0, m, N, ϑₛ;
-                            deriv = view(τₛ, m, m:N))
+            0, m, N, ϑₛ;
+            deriv = view(τₛ, m, m:N))
     end
 
     for n in 1:N
@@ -156,6 +158,7 @@ function amplitude_matrix(𝐓::AbstractTransitionMatrix{CT, N}, ϑᵢ, φᵢ, 
     end
 
     for n′ in 1:N, n in 1:N
+
         αₙ = 1.0im^((n′ - n - 1) & 3) *
              √(T(2n + 1) * (2n′ + 1) / (n * (n + 1) * n′ * (n′ + 1)))
         for m′ in (-n′):n′
@@ -218,7 +221,7 @@ Parameters:
     You may also need to test the convergence of `Nα`, `Nβ` and `Nγ` manually. If any one is too small, there will be large errors in the results.
 """
 function orientation_average(𝐓::AbstractTransitionMatrix{CT, N}, pₒ; Nα = 10, Nβ = 10,
-                             Nγ = 10) where {CT, N}
+        Nγ = 10) where {CT, N}
     T̄ = similar(𝐓)
     fill!(T̄, zero(CT))
 
@@ -266,7 +269,7 @@ Parameters:
 - `λ`: the wavelength of the incident wave in the host medium. Default to 2π.
 """
 function scattering_cross_section(𝐓::AbstractTransitionMatrix{CT, N},
-                                  λ = 2π) where {CT, N}
+        λ = 2π) where {CT, N}
     return sum(abs2, 𝐓) * λ^2 / 2π
 end
 
@@ -287,7 +290,7 @@ Parameters:
 - `λ`: the wavelength of the incident wave in the host medium. Default to 2π.
 """
 function extinction_cross_section(𝐓::AbstractTransitionMatrix{CT, N},
-                                  λ = 2π) where {CT, N}
+        λ = 2π) where {CT, N}
     Cᵉˣᵗ = zero(CT)
 
     for n in 1:N
@@ -415,7 +418,7 @@ Keyword arguments:
 - `full`: Whether to return the full expansion coefficients (`β₃` to `β₆`). Default to `false`.
 """
 function expansion_coefficients(𝐓::AbstractTransitionMatrix{CT, N}, λ;
-                                full = false) where {CT, N}
+        full = false) where {CT, N}
     Cˢᶜᵃ = Float64(scattering_cross_section(𝐓, λ))
     λ = Float64(λ)
     ci = OffsetArray([(1im)^(i & 3) for i in (-N):N], (-N):N)
@@ -457,18 +460,19 @@ function expansion_coefficients(𝐓::AbstractTransitionMatrix{CT, N}, λ;
     A₄ = OffsetArray(zeros(ComplexF64, N, 2N + 1), 1:N, 0:(2N))
 
     B₁ = OffsetArray(zeros(ComplexF64, 2N + 1, 2N + 1, N, 2N + 1), (-N):N, (-N):N, 1:N,
-                     0:(2N))
+        0:(2N))
     B₂ = OffsetArray(zeros(ComplexF64, 2N + 1, 2N + 1, N, 2N + 1), (-N):N, (-N):N, 1:N,
-                     0:(2N))
+        0:(2N))
     B₃ = OffsetArray(zeros(ComplexF64, 2N + 1, 2N + 1, N, 2N + 1), (-N):N, (-N):N, 1:N,
-                     0:(2N))
+        0:(2N))
     B₄ = OffsetArray(zeros(ComplexF64, 2N + 1, 2N + 1, N, 2N + 1), (-N):N, (-N):N, 1:N,
-                     0:(2N))
+        0:(2N))
 
     Threads.@threads for n₁ in 0:(2N)
         @debug "n₁ = $n₁..."
 
         for n in 1:N, k in (-N):N
+
             for n′ in max(1, abs(n - n₁)):min(n + n₁, N)
                 a₁ = 0.0
                 a₂ = 0.0
@@ -529,11 +533,11 @@ function expansion_coefficients(𝐓::AbstractTransitionMatrix{CT, N}, λ;
                 d₋₀₋₀ = 0.0
                 for n₁ in abs(m - 1):(min(n, n′) + N)
                     d₀₀ += (2n₁ + 1) * sum(B₃[k, m, n, n₁] * B₃[k, m, n′, n₁]'
-                               for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₀₋₀ += (2n₁ + 1) * sum(B₂[k, m, n, n₁] * B₂[k, m, n′, n₁]'
-                                for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₋₀₋₀ += (2n₁ + 1) * sum(B₁[k, m, n, n₁] * B₁[k, m, n′, n₁]'
-                                 for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                 end
                 D₀₀[m, n, n′] = d₀₀
                 D₀₋₀[m, n, n′] = d₀₋₀
@@ -549,15 +553,15 @@ function expansion_coefficients(𝐓::AbstractTransitionMatrix{CT, N}, λ;
 
                 for n₁ in abs(m - 1):(min(n, n′) + N)
                     d₂₂ += (2n₁ + 1) * sum(B₁[k, m, n, n₁] * B₃[-k, 2 - m, n′, n₁]'
-                               for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₂₋₂ += (2n₁ + 1) * sum(B₄[k, m, n, n₁] * B₂[-k, 2 - m, n′, n₁]'
-                                for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₋₂₋₂ += (2n₁ + 1) * sum(B₃[k, m, n, n₁] * B₁[-k, 2 - m, n′, n₁]'
-                                 for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₀₂ += (2n₁ + 1) * sum(B₂[k, m, n, n₁] * B₃[-k, 2 - m, n′, n₁]'
-                               for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                     d₋₀₂ += (2n₁ + 1) * sum(B₁[k, m, n, n₁] * B₄[-k, 2 - m, n′, n₁]'
-                                for k in max(-N, -n₁):min(N, n₁))
+                    for k in max(-N, -n₁):min(N, n₁))
                 end
 
                 D₂₂[m, n, n′] = d₂₂
@@ -572,9 +576,9 @@ function expansion_coefficients(𝐓::AbstractTransitionMatrix{CT, N}, λ;
     h_const = λ^2 / (Cˢᶜᵃ * 4 * π)
     h = OffsetArray([s[l] * h_const * ss[n] / ss[n′]
                      for l in 0:(2N), n in 1:N, n′ in 1:N],
-                    0:(2N),
-                    1:N,
-                    1:N)
+        0:(2N),
+        1:N,
+        1:N)
 
     @debug "Calculating g..."
     g₀₀ = OffsetArray(zeros(ComplexF64, 2N + 1), 0:(2N))
diff --git a/src/common/AxisymmetricTransitionMatrix.jl b/src/common/AxisymmetricTransitionMatrix.jl
index d4bd0c7..4256ee0 100644
--- a/src/common/AxisymmetricTransitionMatrix.jl
+++ b/src/common/AxisymmetricTransitionMatrix.jl
@@ -3,10 +3,11 @@ struct AxisymmetricTransitionMatrix{CT, N, V <: AbstractVector{<:AbstractMatrix{
     𝐓::V
 end
 
-Base.@propagate_inbounds function Base.getindex(axi::AxisymmetricTransitionMatrix{CT, N, V},
-                                                m::Integer, n::Integer, m′::Integer,
-                                                n′::Integer, p::Integer,
-                                                p′::Integer) where {CT, N, V}
+Base.@propagate_inbounds function Base.getindex(
+        axi::AxisymmetricTransitionMatrix{CT, N, V},
+        m::Integer, n::Integer, m′::Integer,
+        n′::Integer, p::Integer,
+        p′::Integer) where {CT, N, V}
     if m != m′ || abs(m) > min(n, n′)
         zero(CT)
     else
@@ -36,11 +37,13 @@ Parameters:
 - `λ`: the wavelength of the incident wave in the host medium. Default to 2π.
 """
 function scattering_cross_section(𝐓::AxisymmetricTransitionMatrix{CT, N, V, T},
-                                  λ = 2π) where {CT, N, V, T}
+        λ = 2π) where {CT, N, V, T}
     Cˢᶜᵃ = zero(T)
     for m in 0:N
         for p′ in 1:2, p in 1:2
+
             for n′ in max(m, 1):N, n in max(m, 1):N
+
                 if m == 0
                     Cˢᶜᵃ += abs2(𝐓[m, n, m, n′, p, p′])
                 else
@@ -81,7 +84,7 @@ Parameters:
 - `λ`: the wavelength of the incident wave in the host medium. Default to 2π.
 """
 function extinction_cross_section(𝐓::AxisymmetricTransitionMatrix{CT, N, V, T},
-                                  λ = 2π) where {CT, N, V, T}
+        λ = 2π) where {CT, N, V, T}
     Cᵉˣᵗ = zero(CT)
     for m in 0:N
         coeff = m == 0 ? 1 : 2
@@ -113,8 +116,9 @@ end
 function scattering_efficiency_m₀(T₀)
     nₘₐₓ = size(T₀, 1) ÷ 2
     Qˢᶜᵃ = sum((2n + 1) *
-               real(T₀[n, n] * T₀[n, n]' + T₀[n + nₘₐₓ, n + nₘₐₓ] * T₀[n + nₘₐₓ, n + nₘₐₓ]')
-               for n in 1:nₘₐₓ)
+               real(T₀[n, n] * T₀[n, n]' +
+                    T₀[n + nₘₐₓ, n + nₘₐₓ] * T₀[n + nₘₐₓ, n + nₘₐₓ]')
+    for n in 1:nₘₐₓ)
     return Qˢᶜᵃ
 end
 
@@ -131,7 +135,7 @@ Parameters:
 - `λ`: The wavelength.
 """
 function expansion_coefficients(𝐓::AxisymmetricTransitionMatrix{CT, N, V, T},
-                                λ) where {CT, N, V, T}
+        λ) where {CT, N, V, T}
     Cˢᶜᵃ = Float64(scattering_cross_section(𝐓, λ))
     λ = Float64(λ)
 
@@ -234,9 +238,9 @@ function expansion_coefficients(𝐓::AxisymmetricTransitionMatrix{CT, N, V, T},
     h_const = λ^2 / (Cˢᶜᵃ * 4 * π)
     h = OffsetArray([s[l] * h_const * ss[n] / ss[n′]
                      for l in 0:(2N), n in 1:N, n′ in 1:N],
-                    0:(2N),
-                    1:N,
-                    1:N)
+        0:(2N),
+        1:N,
+        1:N)
 
     @debug "Calculating g..."
     g₀₀ = OffsetArray(zeros(2N + 1), 0:(2N))
diff --git a/src/common/RandomOrientationTransitionMatrix.jl b/src/common/RandomOrientationTransitionMatrix.jl
index 8cb2cf4..459fa64 100644
--- a/src/common/RandomOrientationTransitionMatrix.jl
+++ b/src/common/RandomOrientationTransitionMatrix.jl
@@ -22,12 +22,13 @@ function RandomOrientationTransitionMatrix(𝐓::AbstractTransitionMatrix{CT, N}
     return RandomOrientationTransitionMatrix{CT, N, typeof(T̄)}(T̄)
 end
 
-Base.@propagate_inbounds function Base.getindex(oa::RandomOrientationTransitionMatrix{CT,
-                                                                                      N, V
-                                                                                      },
-                                                m::Integer, n::Integer, m′::Integer,
-                                                n′::Integer, p::Integer,
-                                                p′::Integer) where {CT, N, V}
+Base.@propagate_inbounds function Base.getindex(
+        oa::RandomOrientationTransitionMatrix{CT,
+            N, V
+        },
+        m::Integer, n::Integer, m′::Integer,
+        n′::Integer, p::Integer,
+        p′::Integer) where {CT, N, V}
     if m != m′ || n != n′ || abs(m) > n
         zero(CT)
     else
diff --git a/src/compat/index.jl b/src/compat/index.jl
index 8aa5a49..2ea7c36 100644
--- a/src/compat/index.jl
+++ b/src/compat/index.jl
@@ -4,6 +4,32 @@ Base.round(x::Arb, ::RoundingMode{:Up}) = ceil(BigFloat(x))
 Base.abs2(x::AcbLike) = abs2(real(x)) + abs2(imag(x))
 Base.complex(::Type{Arb}) = Acb
 
+# Workaround for DoubleFloats v1.9.x: `cbrt` (and thus its alias `∛`) on a
+# `Double64` returns the raw `(hi, lo)` component tuple instead of a `Double64`
+# (the upstream `cbrt_db_db` forgets to wrap its result; `sqrt` is unaffected).
+# This breaks every `∛` call reached with a `Double64` argument, e.g.
+# `volume_equivalent_radius` and the Riccati-Bessel term estimators.
+#
+# The fix is behavior-gated: the guard below calls the upstream `cbrt` before
+# our method exists, so it installs the workaround only while upstream is still
+# broken. Once a fixed DoubleFloats returns a `Double64` here, this block is
+# skipped at load time and the upstream method is used unchanged — no sticky
+# shadowing, no dead code. (A package upgrade recompiles this module, so the
+# guard is re-evaluated against the new DoubleFloats version.)
+if !(cbrt(Double64(8.0)) isa Double64)
+    # Specialized to `Double64` (more specific than upstream's parametric
+    # method); recovers full precision with two Newton steps from a Float64
+    # seed. `cbrt(Float64(a))` dispatches to Base, so there is no recursion.
+    function Base.cbrt(x::Double64)
+        iszero(x) && return x
+        a = abs(x)
+        y = Double64(cbrt(Float64(a)))
+        y = (2y + a / (y * y)) / 3
+        y = (2y + a / (y * y)) / 3
+        return x < 0 ? -y : y
+    end
+end
+
 function Base.inv(x::Matrix{Arb})
     a = ArbMatrix(x)
     Arblib.inv!(a, a)
@@ -23,8 +49,8 @@ Base.precision(::Type{ComplexF128}) = 113
 Base.precision(::Type{Complex{Arb}}) = precision(Arb)
 
 function Base.precision(::Type{
-                               Complex{ForwardDiff.Dual{ForwardDiff.Tag{F, T},
-                                                        T, N}}}) where {F, T, N}
+        Complex{ForwardDiff.Dual{ForwardDiff.Tag{F, T},
+        T, N}}}) where {F, T, N}
     precision(T)
 end
 
@@ -55,7 +81,7 @@ function Base.BigFloat(x::T) where {T <: ForwardDiff.Dual}
 end
 
 function Base.convert(::Type{Complex{ForwardDiff.Dual{ForwardDiff.Tag{F, T}, T, N}}},
-                      x::AcbLike) where {F, T, N}
+        x::AcbLike) where {F, T, N}
     re = ForwardDiff.Dual{ForwardDiff.Tag{F, T}, T, N}(real(x))
     im = ForwardDiff.Dual{ForwardDiff.Tag{F, T}, T, N}(imag(x))
     return Complex{ForwardDiff.Dual{ForwardDiff.Tag{F, T}, T, N}}(re, im)
diff --git a/src/linearization.jl b/src/linearization.jl
index d912048..75407c3 100644
--- a/src/linearization.jl
+++ b/src/linearization.jl
@@ -98,7 +98,7 @@ end
 function LinearizationResult(value, jacobian, variables; metadata = (;))
     vars = Tuple(variables)
     return LinearizationResult{typeof(value), typeof(jacobian), typeof(vars),
-                               typeof(metadata)}(value, jacobian, vars, metadata)
+        typeof(metadata)}(value, jacobian, vars, metadata)
 end
 
 variables(result::LinearizationResult) = result.variables
@@ -159,7 +159,7 @@ end
 
 function Base.showerror(io::IO, err::UnsupportedLinearization)
     print(io, "Unsupported linearization for output :", err.output,
-          " with backend ", typeof(err.backend), ": ", err.reason)
+        " with backend ", typeof(err.backend), ": ", err.reason)
 end
 
 """
@@ -169,11 +169,11 @@ Return a [`LinearizationSupport`](@ref) record describing whether an analytical
 linearization implementation is available for the requested output.
 """
 function supports_linearization(::LinearizationProblem,
-                                backend::AbstractLinearizationBackend;
-                                output::Symbol = :transition_matrix,
-                                config = nothing)
+        backend::AbstractLinearizationBackend;
+        output::Symbol = :transition_matrix,
+        config = nothing)
     return LinearizationSupport(false,
-                                "no analytical linearization implementation is registered")
+        "no analytical linearization implementation is registered")
 end
 
 """
@@ -184,8 +184,8 @@ Backends that do not implement analytical derivatives throw
 [`UnsupportedLinearization`](@ref).
 """
 function linearize_transition_matrix(problem::LinearizationProblem,
-                                     backend::AbstractLinearizationBackend;
-                                     config = nothing)
+        backend::AbstractLinearizationBackend;
+        config = nothing)
     support = supports_linearization(problem, backend; output = :transition_matrix, config)
     throw(UnsupportedLinearization(backend, :transition_matrix, support.reason))
 end
@@ -198,7 +198,7 @@ The default method only defines the unsupported boundary; analytical backends
 should add methods that reuse `linearize_transition_matrix`.
 """
 function linearize_observable(observable, problem::LinearizationProblem,
-                              backend::AbstractLinearizationBackend; config = nothing)
+        backend::AbstractLinearizationBackend; config = nothing)
     output = observable isa Symbol ? observable : :observable
     support = supports_linearization(problem, backend; output, config)
     throw(UnsupportedLinearization(backend, output, support.reason))
diff --git a/src/shapes/chebyshev.jl b/src/shapes/chebyshev.jl
index dc8dca2..db36570 100644
--- a/src/shapes/chebyshev.jl
+++ b/src/shapes/chebyshev.jl
@@ -41,7 +41,7 @@ has_symmetric_plane(c::Chebyshev) = iseven(c.n)
     @testset "r₀ = $r₀, ε = $ε, n = $n" for (r₀, ε, n, V, rᵥ) in [
         (1.0, 0.5, 2, 3.4258319889145845, 0.9351741286290055),
         (3.0, -1.0, 3, 277.8963101575429, 4.048225756255873),
-        (5.0, 1.0, 8, 1274.5227007709325, 6.725939997427172),
+        (5.0, 1.0, 8, 1274.5227007709325, 6.725939997427172)
     ]
         c = Chebyshev(r₀, ε, n, 1.5 + 0.01im)
         @test volume(c) ≈ V
diff --git a/src/shapes/cylinder.jl b/src/shapes/cylinder.jl
index 115aea8..dfa0c35 100644
--- a/src/shapes/cylinder.jl
+++ b/src/shapes/cylinder.jl
@@ -24,7 +24,7 @@ has_symmetric_plane(::Cylinder) = true
     @testset "r = $r, h = $h" for (r, h, V, rᵥ) in [
         (2.0, 0.5, 6.283185307179586, 1.1447142425533319),
         (1.0, 1.0, 3.141592653589793, 0.9085602964160698),
-        (0.5, 2.0, 1.5707963267948966, 0.7211247851537042),
+        (0.5, 2.0, 1.5707963267948966, 0.7211247851537042)
     ]
         c = Cylinder(r, h, 1.311)
         @test volume(c) ≈ V
diff --git a/src/shapes/prism.jl b/src/shapes/prism.jl
index f7035b7..99e9517 100644
--- a/src/shapes/prism.jl
+++ b/src/shapes/prism.jl
@@ -31,7 +31,7 @@ has_symmetric_plane(::Prism) = true
     @testset "N = $N, a = $a, h = $h" for (N, a, h, V, rᵥ) in [
         (5, 2.0, 3.0, 20.645728807067606, 1.701820965727639),
         (3, 0.5, 5.0, 0.5412658773652743, 0.5055615227215154),
-        (20, 2.0, 0.1, 12.627503029350088, 1.4445845221839735),
+        (20, 2.0, 0.1, 12.627503029350088, 1.4445845221839735)
     ]
         p = Prism(N, a, h, 1.311)
         @test volume(p) ≈ V
diff --git a/src/shapes/spheroid.jl b/src/shapes/spheroid.jl
index 24559bd..f51df87 100644
--- a/src/shapes/spheroid.jl
+++ b/src/shapes/spheroid.jl
@@ -24,7 +24,7 @@ has_symmetric_plane(::Spheroid) = true
     @testset "a = $a, c = $c" for (a, c, V, rᵥ) in [
         (1.0, 0.5, 2.0943951023931953, 0.7937005259840998),
         (1.0, 1.0, 4.1887902047863905, 1.0),
-        (0.5, 1.0, 1.0471975511965976, 0.6299605249474366),
+        (0.5, 1.0, 1.0471975511965976, 0.6299605249474366)
     ]
         s = Spheroid(a, c, 1.311)
         @test volume(s) ≈ V
diff --git a/src/solvers.jl b/src/solvers.jl
new file mode 100644
index 0000000..388fed6
--- /dev/null
+++ b/src/solvers.jl
@@ -0,0 +1,306 @@
+# ── Two-layer solver API ──────────────────────────────────────────────────────
+#
+# The T-matrix of an axisymmetric scatterer can be obtained by several methods
+# (classic EBCM, the cancellation-free `stable` EBCM, the Sh-matrix moment
+# separation, IITM), each with its own discretization knobs. This file unifies
+# them behind one verb, `transition_matrix(s, λ, solver)`, organized into two
+# clearly separated layers:
+#
+#   • Fixed solution  — a solver carrying an explicit discretization; one build.
+#       transition_matrix(s, λ, EBCM(nₘₐₓ, Ng; stable))
+#       transition_matrix(s, λ, IITM(nₘₐₓ, Nr, Nϑ))
+#       transition_matrix(s, λ, ShMatrix(nₘₐₓ, Ng))
+#
+#   • Iterative solver — wraps a method + convergence policy and sweeps the
+#     discretization until the scattering/extinction efficiencies stabilize.
+#       transition_matrix(s, λ, Iterative(EBCM; stable, threshold, …))
+#
+# Each fixed solver dispatches to the underlying implementation unchanged; the
+# iterative driver reuses `routine_mishchenko` and the `m=0` efficiency probes.
+
+"""
+    AbstractSolver
+
+Supertype of every T-matrix solver. A solver is either a fixed-discretization
+solver ([`EBCM`](@ref), [`IITM`](@ref), [`ShMatrix`](@ref) — subtypes of
+`AbstractFixedSolver`) or an [`Iterative`](@ref) wrapper that converges one.
+"""
+abstract type AbstractSolver end
+
+"Supertype of fixed-discretization solvers (one build, no iteration)."
+abstract type AbstractFixedSolver <: AbstractSolver end
+
+# ── Fixed solvers ─────────────────────────────────────────────────────────────
+"""
+    EBCM(nₘₐₓ, Ng; stable = false)
+
+Fixed-discretization Extended Boundary Condition Method solver: truncation order
+`nₘₐₓ` and `Ng` Gauss–Legendre quadrature points. `stable = true` assembles the
+`𝐔` matrix with the cancellation-free `F⁺` formulation (spheroids only). Used as
+`transition_matrix(s, λ, EBCM(nₘₐₓ, Ng))`.
+"""
+struct EBCM <: AbstractFixedSolver
+    nₘₐₓ::Int
+    Ng::Int
+    stable::Bool
+end
+EBCM(nₘₐₓ::Integer, Ng::Integer; stable::Bool = false) = EBCM(Int(nₘₐₓ), Int(Ng), stable)
+
+"""
+    IITM(nₘₐₓ, Nr, Nϑ; rₘᵢₙ = nothing)
+    IITM(nₘₐₓ, Nr, Nϑ, Nφ; rₘᵢₙ = nothing)
+
+Fixed-discretization invariant-imbedding (IITM) solver: order `nₘₐₓ`, `Nr` radial
+and `Nϑ` zenithal quadrature points (plus `Nφ` azimuthal points for arbitrary /
+N-fold shapes). `rₘᵢₙ` defaults to `rmin(s)` when left `nothing`.
+"""
+struct IITM{F} <: AbstractFixedSolver
+    nₘₐₓ::Int
+    Nr::Int
+    Nϑ::Int
+    Nφ::Union{Nothing, Int}
+    rₘᵢₙ::F
+end
+function IITM(nₘₐₓ::Integer, Nr::Integer, Nϑ::Integer; rₘᵢₙ = nothing)
+    IITM(Int(nₘₐₓ), Int(Nr), Int(Nϑ), nothing, rₘᵢₙ)
+end
+function IITM(nₘₐₓ::Integer, Nr::Integer, Nϑ::Integer, Nφ::Integer; rₘᵢₙ = nothing)
+    IITM(Int(nₘₐₓ), Int(Nr), Int(Nϑ), Int(Nφ), rₘᵢₙ)
+end
+
+"""
+    ShMatrix(nₘₐₓ, Ng; B = nothing, momtype = nothing, store = nothing)
+
+Fixed-discretization Sh-matrix (moment-separation) solver. `B` is the number of
+radial power-series terms; `momtype`/`store` control the moment precision (see
+[`prepare_sh`](@ref); `nothing` selects the defaults). As a single build,
+`transition_matrix(s, λ, ShMatrix(nₘₐₓ, Ng))`; for a parameter sweep,
+`transition_matrix(s, λs, mᵣs, ShMatrix(nₘₐₓ, Ng))` prepares once and reuses.
+"""
+struct ShMatrix <: AbstractFixedSolver
+    nₘₐₓ::Int
+    Ng::Int
+    B::Union{Nothing, Int}
+    momtype::Union{Nothing, Type}
+    store::Union{Nothing, Type}
+end
+function ShMatrix(nₘₐₓ::Integer, Ng::Integer; B = nothing, momtype = nothing,
+        store = nothing)
+    ShMatrix(Int(nₘₐₓ), Int(Ng), B, momtype, store)
+end
+
+# ── Fixed dispatch (thin shims over the existing implementations) ─────────────
+function transition_matrix(s::AbstractAxisymmetricShape, λ, slv::EBCM)
+    return transition_matrix(s, λ, slv.nₘₐₓ, slv.Ng; stable = slv.stable)
+end
+
+function transition_matrix(s::AbstractShape, λ, slv::IITM)
+    rₘᵢₙ = slv.rₘᵢₙ === nothing ? rmin(s) : slv.rₘᵢₙ
+    if slv.Nφ === nothing
+        return transition_matrix_iitm(s, λ, slv.nₘₐₓ, slv.Nr, slv.Nϑ; rₘᵢₙ)
+    else
+        return transition_matrix_iitm(s, λ, slv.nₘₐₓ, slv.Nr, slv.Nϑ, slv.Nφ; rₘᵢₙ)
+    end
+end
+
+function transition_matrix(s::AbstractAxisymmetricShape{T}, λ, slv::ShMatrix) where {T}
+    B = slv.B === nothing ? max(30, slv.nₘₐₓ + 15) : slv.B
+    store = slv.store === nothing ? T : slv.store
+    prep = prepare_sh(s, slv.nₘₐₓ, slv.Ng; B, momtype = slv.momtype, store)
+    return transition_matrix(prep, λ)
+end
+
+# Sh-matrix parameter sweep: prepare once, reconstruct at each (λ, mᵣ).
+function transition_matrix(s::AbstractAxisymmetricShape{T}, λs::AbstractVector, mᵣs,
+        slv::ShMatrix) where {T}
+    B = slv.B === nothing ? max(30, slv.nₘₐₓ + 15) : slv.B
+    store = slv.store === nothing ? T : slv.store
+    prep = prepare_sh(s, slv.nₘₐₓ, slv.Ng; B, momtype = slv.momtype, store)
+    return transition_matrix_spectrum(prep, λs, mᵣs)
+end
+
+# ── Iterative solver ──────────────────────────────────────────────────────────
+"""
+    ConvergencePolicy(; threshold, ndgs, maxiter, nₘₐₓ_only, nₛₜₐᵣₜ, Ngₛₜₐᵣₜ, routine_generator)
+
+Convergence settings for an [`Iterative`](@ref) solver. `threshold` is the
+relative `Qsca`/`Qext` tolerance, `ndgs` the quadrature points added per order,
+`nₛₜₐᵣₜ`/`Ngₛₜₐᵣₜ` the starting resolution (`0` ⇒ auto from `k·rₘₐₓ`),
+`nₘₐₓ_only` stops once `nₘₐₓ` converges, and `routine_generator` builds the
+stepping routine (default `routine_mishchenko`).
+"""
+struct ConvergencePolicy{G}
+    threshold::Float64
+    ndgs::Int
+    maxiter::Int
+    nₘₐₓ_only::Bool
+    nₛₜₐᵣₜ::Int
+    Ngₛₜₐᵣₜ::Int
+    routine_generator::G
+end
+function ConvergencePolicy(; threshold = 1.0e-4, ndgs = 4, maxiter = 20,
+        nₘₐₓ_only = false, nₛₜₐᵣₜ = 0, Ngₛₜₐᵣₜ = 0,
+        routine_generator = routine_mishchenko)
+    ConvergencePolicy(Float64(threshold), Int(ndgs), Int(maxiter), nₘₐₓ_only,
+        Int(nₛₜₐᵣₜ), Int(Ngₛₜₐᵣₜ), routine_generator)
+end
+
+"""
+    Iterative(EBCM; stable = false, threshold = 1e-4, ndgs = 4, maxiter = 20, …)
+
+Iterative solver that sweeps the discretization of a fixed-solver method until
+convergence. Currently the EBCM method is supported, including `stable = true`:
+
+```julia
+transition_matrix(s, λ, Iterative(EBCM))                  # classic, auto-converged
+transition_matrix(s, λ, Iterative(EBCM; stable = true))   # stabilized + auto-converged
+```
+
+The non-resolution method options (e.g. `stable`) and the [`ConvergencePolicy`](@ref)
+keywords are passed together; the method is named by its fixed-solver type.
+"""
+struct Iterative{F <: AbstractFixedSolver, O <: NamedTuple, P <: ConvergencePolicy} <:
+       AbstractSolver
+    opts::O
+    policy::P
+end
+
+function Iterative(::Type{EBCM}; stable::Bool = false, kwargs...)
+    opts = (; stable)
+    policy = ConvergencePolicy(; kwargs...)
+    return Iterative{EBCM, typeof(opts), typeof(policy)}(opts, policy)
+end
+
+# Generic driver: resolution-agnostic. Each method provides the four hooks below.
+function transition_matrix(s::AbstractAxisymmetricShape, λ, it::Iterative)
+    pol = it.policy
+    routine = pol.routine_generator(pol.threshold, pol.ndgs, pol.nₘₐₓ_only)
+    fixed = _solver_initial(it, s, λ)
+    for _ in 1:(pol.maxiter)
+        pr = _solver_probe(it, s, λ, fixed)
+        nxt = _solver_step(it, fixed, pr.Qsca, pr.Qext, routine)
+        nxt === nothing && return _solver_assemble(it, s, λ, fixed, pr.state)
+        fixed = nxt
+    end
+    error("transition_matrix: failed to converge in $(pol.maxiter) iterations")
+end
+
+# ── Iterative interface — EBCM specialization (cheap m=0 probe) ───────────────
+function _solver_initial(it::Iterative{EBCM}, s, λ)
+    it.opts.stable && !(s isa Spheroid) &&
+        throw(ArgumentError("Iterative(EBCM; stable=true) is only valid for spheroids: the \
+              cancellation-free F⁺ integrands rely on the spheroid surface making \
+              the divergent Laurent terms integrate to zero (Somerville et al. 2013)."))
+    pol = it.policy
+    nₛₜₐᵣₜ = pol.nₛₜₐᵣₜ
+    if nₛₜₐᵣₜ == 0
+        kr = 2π * rmax(s) / λ
+        nₛₜₐᵣₜ = max(4, ceil(Int, kr + 4.05 * ∛kr))
+    end
+    Ng = pol.Ngₛₜₐᵣₜ == 0 ? nₛₜₐᵣₜ * pol.ndgs : pol.Ngₛₜₐᵣₜ
+    return EBCM(nₛₜₐᵣₜ, Ng; stable = it.opts.stable)
+end
+
+function _solver_probe(it::Iterative{EBCM}, s, λ, f::EBCM)
+    T₀,
+    cache = transition_matrix_m₀(s, λ, f.nₘₐₓ, f.Ng; reuse = true,
+        stable = it.opts.stable)
+    return (; Qsca = scattering_efficiency_m₀(T₀), Qext = extinction_efficiency_m₀(T₀),
+        state = (; T₀, cache))
+end
+
+function _solver_step(it::Iterative{EBCM}, f::EBCM, Qsca, Qext, routine)
+    nₘₐₓ′, Ng′ = routine(f.nₘₐₓ, f.Ng, Qsca, Qext)
+    return nₘₐₓ′ == -1 ? nothing : EBCM(nₘₐₓ′, Ng′; stable = f.stable)
+end
+
+function _solver_assemble(it::Iterative{EBCM}, s::AbstractAxisymmetricShape{T, CT}, λ,
+        f::EBCM, state) where {T, CT}
+    𝐓 = Vector{Matrix{CT}}(undef, f.nₘₐₓ + 1)
+    𝐓[1] = state.T₀
+    for m in 1:(f.nₘₐₓ)
+        𝐓[m + 1] = transition_matrix_m(m, s, λ, f.nₘₐₓ, f.Ng; cache = state.cache,
+            stable = it.opts.stable)
+    end
+    return AxisymmetricTransitionMatrix{CT, f.nₘₐₓ, typeof(𝐓), T}(𝐓)
+end
+
+# ── Iterative interface — generic fallback (extensibility seam) ───────────────
+# Any iterable method without a cheap probe can converge via a full-T build and
+# the decoupled cross-section probes. Not exercised in v1 (only EBCM is iterable);
+# this is where `Iterative(IITM)` for axisymmetric shapes will plug in.
+function _solver_probe(it::Iterative, s, λ, fixed::AbstractFixedSolver)
+    𝐓 = transition_matrix(s, λ, fixed)
+    return (; Qsca = scattering_cross_section(𝐓, λ), Qext = extinction_cross_section(𝐓, λ),
+        state = (; 𝐓))
+end
+_solver_assemble(::Iterative, s, λ, ::AbstractFixedSolver, state) = state.𝐓
+
+# ── Bare entry: no solver ⇒ auto-converged classic EBCM ───────────────────────
+"""
+    transition_matrix(s::AbstractAxisymmetricShape, λ)
+
+Compute the T-matrix of an axisymmetric scatterer at wavelength `λ`, automatically
+converging the truncation order and quadrature with classic EBCM. Equivalent to
+`transition_matrix(s, λ, Iterative(EBCM))`. For a stabilized or fixed build, or
+another method, pass an explicit solver (see [`AbstractSolver`](@ref)).
+"""
+function transition_matrix(s::AbstractAxisymmetricShape, λ)
+    transition_matrix(s, λ, Iterative(EBCM))
+end
+
+@testitem "Fixed solver dispatch matches the underlying implementations" begin
+    using TransitionMatrices: Spheroid, Cylinder, transition_matrix_iitm, prepare_sh,
+                              calc_Csca
+    λ = 2π
+    s = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+
+    # EBCM fixed solver === the 4-arg call (same computation)
+    @test transition_matrix(s, λ, EBCM(8, 64)).𝐓 == transition_matrix(s, λ, 8, 64).𝐓
+
+    # EBCM stable fixed solver === the 4-arg stable call
+    sp = Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)
+    @test transition_matrix(sp, λ, EBCM(20, 240; stable = true)).𝐓 ==
+          transition_matrix(sp, λ, 20, 240; stable = true).𝐓
+
+    # ShMatrix fixed solver === prepare_sh + assemble
+    prep = prepare_sh(s, 8, 64)
+    @test calc_Csca(transition_matrix(s, λ, ShMatrix(8, 64))) ≈
+          calc_Csca(transition_matrix(prep, λ))
+
+    # IITM fixed solver === transition_matrix_iitm
+    c = Cylinder{Float64, ComplexF64}(1.0, 2.0, 1.5 + 0.02im)
+    @test transition_matrix(c, λ, IITM(6, 16, 20)).𝐓 ==
+          transition_matrix_iitm(c, λ, 6, 16, 20).𝐓
+end
+
+@testitem "Iterative(EBCM) auto-converges and equals the bare call" begin
+    using TransitionMatrices: Spheroid, calc_Csca, calc_Cext
+    λ = 2π
+    s = Spheroid{Float64, ComplexF64}(2.0, 1.0, 1.5 + 0.02im)
+
+    Ti = transition_matrix(s, λ, Iterative(EBCM))
+    Tb = transition_matrix(s, λ)                       # bare === Iterative(EBCM)
+    @test calc_Csca(Ti) == calc_Csca(Tb)
+
+    Tf = transition_matrix(s, λ, EBCM(16, 200))        # high-resolution reference
+    @test calc_Csca(Ti)≈calc_Csca(Tf) rtol=1e-3
+    @test calc_Cext(Ti)≈calc_Cext(Tf) rtol=1e-3
+
+    Tt = transition_matrix(s, λ, Iterative(EBCM; threshold = 1e-7))
+    @test calc_Csca(Tt)≈calc_Csca(Tf) rtol=1e-5
+end
+
+@testitem "Iterative(EBCM; stable=true) converges a high-aspect spheroid" begin
+    using TransitionMatrices: Spheroid, Cylinder, calc_Csca
+    λ = 2π
+    sp = Spheroid{Float64, ComplexF64}(2.5198421, 10.079368, 1.55 + 0.01im)
+
+    Tst = transition_matrix(sp, λ, Iterative(EBCM; stable = true, threshold = 1e-6))
+    Tref = transition_matrix(sp, λ, EBCM(28, 400; stable = true))
+    @test calc_Csca(Tst)≈calc_Csca(Tref) rtol=1e-3
+
+    # stable iterative is gated to spheroids
+    c = Cylinder{Float64, ComplexF64}(1.0, 2.0, 1.5 + 0.02im)
+    @test_throws ArgumentError transition_matrix(c, λ, Iterative(EBCM; stable = true))
+end
diff --git a/src/special_functions/bessel.jl b/src/special_functions/bessel.jl
index bdc2335..593e412 100644
--- a/src/special_functions/bessel.jl
+++ b/src/special_functions/bessel.jl
@@ -86,7 +86,7 @@ end
     using GSL: sf_bessel_jl_array
 
     @testset "x = $x, n ∈ [1, $n]" for x in (0.01, 0.1, 1.0, 10.0, 100.0, 1000.0),
-                                       n in (40,)
+        n in (40,)
 
         ψ, ψ′ = ricattibesselj(n, estimate_ricattibesselj_extra_terms(n, x), x)
 
@@ -117,7 +117,9 @@ In-place version of [`ricattibessely`](@ref).
 function ricattibessely!(χ, χ′, nₘₐₓ, x)
     x⁻¹ = one(x) / x
     χ[1] = -cos(x) * x⁻¹ - sin(x)
-    χ[2] = (-3x⁻¹^2 + 1) * cos(x) - 3x⁻¹ * sin(x)
+    if nₘₐₓ ≥ 2
+        χ[2] = (-3x⁻¹^2 + 1) * cos(x) - 3x⁻¹ * sin(x)
+    end
     for n in 2:(nₘₐₓ - 1)
         χ[n + 1] = (2n + 1) * x⁻¹ * χ[n] - χ[n - 1]
     end
@@ -167,6 +169,7 @@ end
     using GSL: sf_bessel_yl_array
 
     @testset "x = $x, n ∈ [1, $n]" for x in (0.1, 1.0, 10.0, 100.0), n in (40,)
+
         χ, χ′ = ricattibessely(n, x)
 
         y = sf_bessel_yl_array(n, x)
@@ -178,3 +181,15 @@ end
         @test all(χ′ .≈ χ₁′)
     end
 end
+
+@testitem "Ricatti-Bessel χ handles nₘₐₓ = 1 without out-of-bounds write" begin
+    using TransitionMatrices: ricattibessely
+
+    for x in (0.1, 1.0, 10.0)
+        χ₁, χ₁′ = ricattibessely(1, x)   # used to throw BoundsError (wrote χ[2])
+        χ₂, χ₂′ = ricattibessely(2, x)
+        @test length(χ₁) == 1 && length(χ₁′) == 1
+        @test χ₁[1] ≈ χ₂[1]
+        @test χ₁′[1] ≈ χ₂′[1]
+    end
+end
diff --git a/src/special_functions/quadrature.jl b/src/special_functions/quadrature.jl
index e1bd751..6af924d 100644
--- a/src/special_functions/quadrature.jl
+++ b/src/special_functions/quadrature.jl
@@ -26,14 +26,14 @@ end
 function gausslegendre!(x, w, n::Integer)
     for i in 1:(n ÷ 2)
         Arblib.hypgeom_legendre_p_ui_root!(x[n + 1 - i], w[n + 1 - i], UInt64(n),
-                                           UInt64(i - 1))
+            UInt64(i - 1))
         x[i] = -x[n + 1 - i]
         w[i] = w[n + 1 - i]
     end
 
     if n % 2 == 1
         Arblib.hypgeom_legendre_p_ui_root!(x[n ÷ 2 + 1], w[n ÷ 2 + 1], UInt64(n),
-                                           UInt64(n ÷ 2))
+            UInt64(n ÷ 2))
     end
 end
 
diff --git a/src/special_functions/wignerd.jl b/src/special_functions/wignerd.jl
index 5fa1fb8..68b150b 100644
--- a/src/special_functions/wignerd.jl
+++ b/src/special_functions/wignerd.jl
@@ -1,8 +1,9 @@
 const WIGNER_D_EPS = 1e-12
 
 _wigner_sqrt_constant(::Type{T}, x) where {T} = √T(x)
-_wigner_sqrt_constant(::Type{T}, x) where {T <: ForwardDiff.Dual} =
+function _wigner_sqrt_constant(::Type{T}, x) where {T <: ForwardDiff.Dual}
     T(sqrt(ForwardDiff.value(x)))
+end
 
 @doc raw"""
 ```
@@ -88,7 +89,7 @@ where
 ```
 """
 function wigner_d_recursion(::Type{T}, m::Integer, n::Integer, sₘₐₓ::Integer, ϑ::Number;
-                            deriv::Bool = false) where {T}
+        deriv::Bool = false) where {T}
     sₘₐₓ >= max(abs(m), abs(n)) || error("Error: sₘₐₓ < max(|m|, |n|)")
     sₘᵢₙ = max(abs(m), abs(n))
 
@@ -99,7 +100,7 @@ function wigner_d_recursion(::Type{T}, m::Integer, n::Integer, sₘₐₓ::Integ
 end
 
 @inline function wigner_d_recursion(m::Integer, n::Integer, sₘₐₓ::Integer, ϑ::Number;
-                                    deriv::Bool = false)
+        deriv::Bool = false)
     return wigner_d_recursion(Float64, m, n, sₘₐₓ, ϑ; deriv)
 end
 
@@ -111,7 +112,7 @@ wigner_d_recursion!(d::AbstractVector{T}, m::Integer, n::Integer, sₘₐₓ::In
 Calculate the Wigner d-function recursively, in place.
 """
 function wigner_d_recursion!(d::AbstractVector{T}, m::Integer, n::Integer, sₘₐₓ::Integer,
-                             ϑ::Number; deriv = nothing) where {T}
+        ϑ::Number; deriv = nothing) where {T}
     sₘₐₓ >= max(abs(m), abs(n)) || error("Error: sₘₐₓ < max(|m|, |n|)")
     sₘᵢₙ = max(abs(m), abs(n))
 
@@ -124,8 +125,8 @@ function wigner_d_recursion!(d::AbstractVector{T}, m::Integer, n::Integer, sₘ
 end
 
 function _wigner_d_recursion_core!(d::AbstractVector{T}, m::Integer, n::Integer,
-                                   sₘₐₓ::Integer, ϑ::Number;
-                                   deriv = nothing) where {T}
+        sₘₐₓ::Integer, ϑ::Number;
+        deriv = nothing) where {T}
     sₘₐₓ >= max(abs(m), abs(n)) || error("Error: sₘₐₓ < max(|m|, |n|)")
     ϑ = T(ϑ)
     cosϑ = cos(ϑ)
@@ -158,9 +159,9 @@ function _wigner_d_recursion_core!(d::AbstractVector{T}, m::Integer, n::Integer,
     else
         normalization = abs(m) == sₘᵢₙ && abs(n) == sₘᵢₙ ? one(T) :
                         _wigner_sqrt_constant(T,
-                                               factorial(T, 2sₘᵢₙ) /
-                                               factorial(T, abs(m - n)) /
-                                               factorial(T, abs(m + n)))
+            factorial(T, 2sₘᵢₙ) /
+            factorial(T, abs(m - n)) /
+            factorial(T, abs(m + n)))
         d₁ = sig * T(2)^(-sₘᵢₙ) * normalization *
              (1 - cosϑ)^(abs(m - n) / 2) * (1 + cosϑ)^(abs(m + n) / 2)
         d[d_offset + sₘᵢₙ] = d₁
@@ -213,7 +214,7 @@ end
 
 # Workaround to avoid NaNs in ForwardDiff
 function wigner_d_recursion!(d::AbstractVector{T}, m::Integer, n::Integer, sₘₐₓ::Integer,
-                             ϑ::Number; deriv = nothing) where {T <: ForwardDiff.Dual}
+        ϑ::Number; deriv = nothing) where {T <: ForwardDiff.Dual}
     if !(ϑ isa ForwardDiff.Dual) || iszero(ForwardDiff.partials(ϑ))
         dv = map(ForwardDiff.value, d)
         wigner_d_recursion!(dv, m, n, sₘₐₓ, ForwardDiff.value(ϑ); deriv = deriv)
@@ -236,8 +237,7 @@ end
     using TransitionMatrices: wigner_d, wigner_d_recursion, wigner_d_recursion!
 
     @testset "d($m, $m′, $n, $ϑ) is correct" for m in -2:2, m′ in -2:2, n in (5,),
-                                                 ϑ in (-2e-4, 2e-4, 0.5, π - 2e-4, π + 2e-4)
-
+        ϑ in (-2e-4, 2e-4, 0.5, π - 2e-4, π + 2e-4)
         d₁ = [wigner_d(m, m′, n, ϑ) for n in max(abs(m′), abs(m)):n]
         d₂ = wigner_d_recursion(m, m′, n, ϑ)
         @test all(d₁ .≈ collect(d₂))
@@ -319,12 +319,12 @@ where
     This function easily overflows for large values of `s`, and it is no faster than the recursive method. It is provided here only for checking the correctness of the recursive method. Users are recommended to use `wigner_D_recursion` instead.
 """
 @inline function wigner_D(::Type{T}, m::Integer, m′::Integer, n::Integer, α::Number,
-                          β::Number, γ::Number) where {T}
+        β::Number, γ::Number) where {T}
     return cis(-(m * T(α) + m′ * T(γ))) * wigner_d(T, m, m′, n, β)
 end
 
 @inline function wigner_D(m::Integer, m′::Integer, n::Integer, α::Number, β::Number,
-                          γ::Number)
+        γ::Number)
     return wigner_D(Float64, m, m′, n, α, β, γ)
 end
 
@@ -336,14 +336,14 @@ wigner_D_recursion([T=Float64,], m::Integer, m′::Integer, nmax::Integer, α::N
 Calculate the Wigner D-function recursively (use `wigner_d_recursion`).
 """
 function wigner_D_recursion(::Type{T}, m::Integer, m′::Integer, nmax::Integer, α::Number,
-                            β::Number,
-                            γ::Number) where {T}
+        β::Number,
+        γ::Number) where {T}
     d = wigner_d_recursion(T, m, m′, nmax, β)
     return cis(-(m * T(α) + m′ * T(γ))) * d
 end
 
 @inline function wigner_D_recursion(m::Integer, m′::Integer, nmax::Integer, α::Number,
-                                    β::Number, γ::Number)
+        β::Number, γ::Number)
     return wigner_D_recursion(Float64, m, m′, nmax, α, β, γ)
 end
 
@@ -355,8 +355,8 @@ wigner_D_recursion!(d::AbstractVector{CT}, m::Integer, m′::Integer, nmax::Inte
 Calculate the Wigner D-function recursively, in place.
 """
 function wigner_D_recursion!(d::AbstractVector{CT}, m::Integer, m′::Integer, nmax::Integer,
-                             α::Number, β::Number,
-                             γ::Number) where {CT}
+        α::Number, β::Number,
+        γ::Number) where {CT}
     T = real(CT)
     α = T(α)
     β = T(β)
@@ -395,7 +395,7 @@ Calculate
 - If `d` is given, it is used as the value of ``d_{0 m}^n(\vartheta)``.
 """
 function pi_func(::Type{T}, m::Integer, n::Integer, ϑ::Number;
-                 d = nothing) where {T}
+        d = nothing) where {T}
     ϑ = T(ϑ)
     cosϑ = cos(ϑ)
 
@@ -412,7 +412,7 @@ function pi_func(::Type{T}, m::Integer, n::Integer, ϑ::Number;
 end
 
 @inline function pi_func(m::Integer, n::Integer, ϑ::Number;
-                         d = nothing)
+        d = nothing)
     return pi_func(Float64, m, n, ϑ; d = d)
 end
 
diff --git a/test/compat.jl b/test/compat.jl
index 41ecc62..58f5d04 100644
--- a/test/compat.jl
+++ b/test/compat.jl
@@ -60,3 +60,28 @@
     @test Float64(abs(real(AcbI[2, 1]))) < 1e-30
     @test Float64(abs(real(AcbI[2, 2] - 1))) < 1e-30
 end
+
+@testitem "cbrt on Double64 returns a Double64 (DoubleFloats v1.9 workaround)" begin
+    using TransitionMatrices
+
+    # Upstream DoubleFloats returns a (hi, lo) tuple here; ensure our shim wraps it.
+    @test cbrt(Double64(8.0)) isa Double64
+    @test ∛(Double64(8.0)) isa Double64
+
+    @test cbrt(Double64(8.0)) ≈ Double64(2.0)
+    @test cbrt(Double64(27.0)) ≈ Double64(3.0)
+    @test cbrt(Double64(-8.0)) ≈ Double64(-2.0)
+    @test iszero(cbrt(zero(Double64)))
+
+    # Full-precision check: the Newton refinement must beat Float64 accuracy.
+    x = Double64(2.0)
+    y = cbrt(x)
+    @test abs(y * y * y - x) < Double64(1e-30)
+
+    # The bug surfaced through shape utilities; verify the realistic call path.
+    s = Spheroid(Double64(2.0), Double64(1.0), Complex{Double64}(Double64(1.5),
+        Double64(0.02)))
+    @test volume_equivalent_radius(s) isa Double64
+    @test TransitionMatrices.transition_matrix_m₀(s, 2 * Double64(π), 6, 24) isa
+          Matrix{Complex{Double64}}
+end
diff --git a/test/linearization.jl b/test/linearization.jl
index 25bfba3..2f656fc 100644
--- a/test/linearization.jl
+++ b/test/linearization.jl
@@ -1,6 +1,6 @@
 @testitem "Linearization framework" begin
     problem = LinearizationProblem([2.0, 3.0, 1.311, 0.02, 2π];
-                                   variables = (:a, :c, :mᵣ, :mᵢ, :λ)) do x
+        variables = (:a, :c, :mᵣ, :mᵢ, :λ)) do x
         (; shape = Spheroid(x[1], x[2], complex(x[3], x[4])), λ = x[5])
     end
 
@@ -20,7 +20,7 @@
     value = [1.0 2.0; 3.0 4.0]
     jacobian = reshape(collect(1.0:12.0), 2, 2, 3)
     matrix_result = LinearizationResult(value, jacobian, (:a, :c, :λ))
-    @test derivative(matrix_result, :c) == view(jacobian, :, :, 2)
+    @test derivative(matrix_result, :c) == view(jacobian,:,:,2)
     @test_throws BoundsError derivative(matrix_result, 0)
     @test_throws BoundsError derivative(matrix_result, 4)
     @test_throws ArgumentError derivative(matrix_result, :unknown)
@@ -36,11 +36,11 @@
     @test err isa UnsupportedLinearization
     @test occursin("Unsupported linearization", sprint(showerror, err))
     @test_throws UnsupportedLinearization linearize_observable(scattering_cross_section,
-                                                               problem,
-                                                               IITMLinearization())
+        problem,
+        IITMLinearization())
     @test_throws UnsupportedLinearization linearize_observable(:scattering_cross_section,
-                                                               problem,
-                                                               EBCMLinearization())
+        problem,
+        EBCMLinearization())
     @test_throws ArgumentError LinearizationProblem([1.0]; variables = ("x",)) do x
         x
     end
@@ -59,11 +59,11 @@ end
     @test Bool(supports_linearization(base_problem, IITMLinearization(); config))
     @test Bool(supports_linearization(base_problem, IITMLinearization(:auto); config))
     @test Bool(supports_linearization(base_problem, IITMLinearization(:axisymmetric);
-                                      config))
+        config))
 
     unsupported_output = supports_linearization(base_problem,
-                                                IITMLinearization(:axisymmetric);
-                                                output = :observable, config)
+        IITMLinearization(:axisymmetric);
+        output = :observable, config)
     @test !Bool(unsupported_output)
     @test occursin("only supports transition matrices", unsupported_output.reason)
 
@@ -75,18 +75,18 @@ end
         (; shape = Spheroid(x[1], 1.2, 1.311 + 0.02im), λ = 2π)
     end
     geometry_support = supports_linearization(geometry_problem,
-                                              IITMLinearization(:axisymmetric);
-                                              config)
+        IITMLinearization(:axisymmetric);
+        config)
     @test !Bool(geometry_support)
     @test occursin("fixed-geometry", geometry_support.reason)
 
     duplicate_problem = LinearizationProblem([1.311, 1.4];
-                                             variables = (:mᵣ, :mᵣ)) do x
+        variables = (:mᵣ, :mᵣ)) do x
         (; shape = Spheroid(0.9, 1.2, complex(x[1], 0.02)), λ = 2π)
     end
     duplicate_support = supports_linearization(duplicate_problem,
-                                               IITMLinearization(:axisymmetric);
-                                               config)
+        IITMLinearization(:axisymmetric);
+        config)
     @test !Bool(duplicate_support)
     @test occursin("unique canonical variables", duplicate_support.reason)
 
@@ -94,19 +94,19 @@ end
         (; shape = Prism(5, 0.8, 1.1, complex(x[1], 0.02)), λ = 2π)
     end
     axisymmetric_support = supports_linearization(prism_problem,
-                                                  IITMLinearization(:axisymmetric);
-                                                  config)
+        IITMLinearization(:axisymmetric);
+        config)
     @test !Bool(axisymmetric_support)
     @test occursin("requires an axisymmetric shape", axisymmetric_support.reason)
 
     nfold_missing_phi = supports_linearization(prism_problem,
-                                               IITMLinearization(:nfold); config)
+        IITMLinearization(:nfold); config)
     @test !Bool(nfold_missing_phi)
     @test occursin("requires Nφ", nfold_missing_phi.reason)
 
     arbitrary_missing_phi = supports_linearization(prism_problem,
-                                                   IITMLinearization(:arbitrary);
-                                                   config)
+        IITMLinearization(:arbitrary);
+        config)
     @test !Bool(arbitrary_missing_phi)
     @test occursin("requires Nφ", arbitrary_missing_phi.reason)
 end
@@ -143,8 +143,8 @@ end
         ∂b = coefficient_jacobian[(2N + 1):(3N), j] .+
              coefficient_jacobian[(3N + 1):(4N), j] .* im
 
-        @test ∂T.a ≈ ∂a atol=1e-9 rtol=1e-9
-        @test ∂T.b ≈ ∂b atol=1e-9 rtol=1e-9
+        @test ∂T.a≈∂a atol=1e-9 rtol=1e-9
+        @test ∂T.b≈∂b atol=1e-9 rtol=1e-9
     end
 
     subset_x₀ = [x₀[2], x₀[1]]
@@ -170,8 +170,8 @@ end
         ∂b = subset_coefficient_jacobian[(2N + 1):(3N), j] .+
              subset_coefficient_jacobian[(3N + 1):(4N), j] .* im
 
-        @test ∂T.a ≈ ∂a atol=1e-9 rtol=1e-9
-        @test ∂T.b ≈ ∂b atol=1e-9 rtol=1e-9
+        @test ∂T.a≈∂a atol=1e-9 rtol=1e-9
+        @test ∂T.b≈∂b atol=1e-9 rtol=1e-9
     end
 
     function mie_scattering(x)
@@ -211,24 +211,25 @@ end
     Cabs = linearize_observable(absorption_cross_section, problem, MieLinearization())
     ω = linearize_observable(albedo, problem, MieLinearization())
     S = linearize_observable(amplitude_matrix, problem, MieLinearization();
-                             config = (; angles))
+        config = (; angles))
 
     @test Csca.value ≈ mie_scattering(x₀)
     @test Cext.value ≈ mie_extinction(x₀)
     @test Cabs.value ≈ mie_absorption(x₀)
     @test ω.value ≈ mie_albedo(x₀)
     @test S.value ≈ amplitude_matrix(reference, angles...; λ = x₀[4])
-    @test Csca.jacobian ≈ ForwardDiff.gradient(mie_scattering, x₀) atol=1e-8 rtol=1e-8
-    @test Cext.jacobian ≈ ForwardDiff.gradient(mie_extinction, x₀) atol=1e-8 rtol=1e-8
-    @test Cabs.jacobian ≈ ForwardDiff.gradient(mie_absorption, x₀) atol=1e-8 rtol=1e-8
-    @test ω.jacobian ≈ ForwardDiff.gradient(mie_albedo, x₀) atol=1e-8 rtol=1e-8
+    @test Csca.jacobian≈ForwardDiff.gradient(mie_scattering, x₀) atol=1e-8 rtol=1e-8
+    @test Cext.jacobian≈ForwardDiff.gradient(mie_extinction, x₀) atol=1e-8 rtol=1e-8
+    @test Cabs.jacobian≈ForwardDiff.gradient(mie_absorption, x₀) atol=1e-8 rtol=1e-8
+    @test ω.jacobian≈ForwardDiff.gradient(mie_albedo, x₀) atol=1e-8 rtol=1e-8
 
     amplitude_jacobian = ForwardDiff.jacobian(mie_amplitude_vector, x₀)
     for (j, var) in enumerate(vars)
         ∂S = derivative(S, var)
-        ∂S_ref = reshape(amplitude_jacobian[1:4, j] .+
-                         amplitude_jacobian[5:8, j] .* im, 2, 2)
-        @test ∂S ≈ ∂S_ref atol=1e-8 rtol=1e-8
+        ∂S_ref = reshape(
+            amplitude_jacobian[1:4, j] .+
+            amplitude_jacobian[5:8, j] .* im, 2, 2)
+        @test ∂S≈∂S_ref atol=1e-8 rtol=1e-8
     end
 end
 
@@ -249,7 +250,7 @@ end
     ∂𝐓_fd = (𝐓_from_𝐏_and_𝐔(𝐏 .+ ϵ .* ∂𝐏, 𝐔 .+ ϵ .* ∂𝐔) -
              𝐓_from_𝐏_and_𝐔(𝐏 .- ϵ .* ∂𝐏, 𝐔 .- ϵ .* ∂𝐔)) ./ (2ϵ)
 
-    @test ∂𝐓 ≈ ∂𝐓_fd atol=1e-9 rtol=1e-8
+    @test ∂𝐓≈∂𝐓_fd atol=1e-9 rtol=1e-8
 end
 
 @testitem "EBCM block assembly exposes P-U matrices" begin
@@ -277,19 +278,19 @@ end
 
     function test_matrix(n, offset; scale = 1.0)
         [scale * ((i == j ? 1.5 + offset : 0.03 * (i + j + offset)) +
-                  0.02im * (i - j + offset)) for i in 1:n, j in 1:n]
+          0.02im * (i - j + offset)) for i in 1:n, j in 1:n]
     end
 
     𝐏s = [test_matrix(4, 1), test_matrix(4, 2), test_matrix(2, 3)]
     𝐔s = [test_matrix(4, 4; scale = 0.2),
-          test_matrix(4, 5; scale = 0.2),
-          test_matrix(2, 6; scale = 0.2)]
+        test_matrix(4, 5; scale = 0.2),
+        test_matrix(2, 6; scale = 0.2)]
     ∂𝐏s = [test_matrix(4, 7; scale = 0.1),
-           test_matrix(4, 8; scale = 0.1),
-           test_matrix(2, 9; scale = 0.1)]
+        test_matrix(4, 8; scale = 0.1),
+        test_matrix(2, 9; scale = 0.1)]
     ∂𝐔s = [test_matrix(4, 10; scale = 0.1),
-           test_matrix(4, 11; scale = 0.1),
-           test_matrix(2, 12; scale = 0.1)]
+        test_matrix(4, 11; scale = 0.1),
+        test_matrix(2, 12; scale = 0.1)]
 
     𝐓 = ebcm_transition_matrix_from_matrices(𝐏s, 𝐔s)
     ∂𝐓 = ∂ebcm_transition_matrix_from_matrices(𝐏s, 𝐔s, ∂𝐏s, ∂𝐔s)
@@ -297,7 +298,7 @@ end
     for m in 0:2
         @test 𝐓.𝐓[m + 1] ≈ 𝐓_from_𝐏_and_𝐔(𝐏s[m + 1], 𝐔s[m + 1])
         @test ∂𝐓.𝐓[m + 1] ≈ ∂𝐓_from_𝐏_and_𝐔(𝐏s[m + 1], 𝐔s[m + 1],
-                                             ∂𝐏s[m + 1], ∂𝐔s[m + 1])
+            ∂𝐏s[m + 1], ∂𝐔s[m + 1])
     end
 end
 
@@ -306,7 +307,7 @@ end
 
     function test_matrix(n, offset; scale = 1.0)
         [scale * ((i == j ? 1.3 + offset : 0.02 * (i + j + offset)) +
-                  0.03im * (i - j + offset)) for i in 1:n, j in 1:n]
+          0.03im * (i - j + offset)) for i in 1:n, j in 1:n]
     end
 
     𝐓 = test_matrix(4, 1; scale = 0.1)
@@ -320,24 +321,24 @@ end
     ∂𝐐ₕⱼ = test_matrix(4, 9; scale = 0.01)
     ∂𝐐ₕₕ = test_matrix(4, 10; scale = 0.01)
 
-    𝐓next, ∂𝐓next = _iitm_update_transition_solve_block(𝐓, ∂𝐓, 𝐐ⱼⱼ,
-                                                        𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
-                                                        ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
-                                                        ∂𝐐ₕⱼ, ∂𝐐ₕₕ)
+    𝐓next,
+    ∂𝐓next = _iitm_update_transition_solve_block(𝐓, ∂𝐓, 𝐐ⱼⱼ,
+        𝐐ⱼₕ, 𝐐ₕⱼ, 𝐐ₕₕ,
+        ∂𝐐ⱼⱼ, ∂𝐐ⱼₕ,
+        ∂𝐐ₕⱼ, ∂𝐐ₕₕ)
 
-    update_value(ϵ) =
-        _iitm_update_transition_solve_block(𝐓 .+ ϵ .* ∂𝐓, zero(∂𝐓),
-                                            𝐐ⱼⱼ .+ ϵ .* ∂𝐐ⱼⱼ,
-                                            𝐐ⱼₕ .+ ϵ .* ∂𝐐ⱼₕ,
-                                            𝐐ₕⱼ .+ ϵ .* ∂𝐐ₕⱼ,
-                                            𝐐ₕₕ .+ ϵ .* ∂𝐐ₕₕ,
-                                            zero(∂𝐐ⱼⱼ), zero(∂𝐐ⱼₕ),
-                                            zero(∂𝐐ₕⱼ), zero(∂𝐐ₕₕ))[1]
+    update_value(ϵ) = _iitm_update_transition_solve_block(𝐓 .+ ϵ .* ∂𝐓, zero(∂𝐓),
+        𝐐ⱼⱼ .+ ϵ .* ∂𝐐ⱼⱼ,
+        𝐐ⱼₕ .+ ϵ .* ∂𝐐ⱼₕ,
+        𝐐ₕⱼ .+ ϵ .* ∂𝐐ₕⱼ,
+        𝐐ₕₕ .+ ϵ .* ∂𝐐ₕₕ,
+        zero(∂𝐐ⱼⱼ), zero(∂𝐐ⱼₕ),
+        zero(∂𝐐ₕⱼ), zero(∂𝐐ₕₕ))[1]
 
     ϵ = 1e-6
     ∂𝐓_fd = (update_value(ϵ) - update_value(-ϵ)) ./ (2ϵ)
     @test 𝐓next ≈ update_value(0)
-    @test ∂𝐓next ≈ ∂𝐓_fd atol=1e-8 rtol=1e-7
+    @test ∂𝐓next≈∂𝐓_fd atol=1e-8 rtol=1e-7
 end
 
 @testitem "EBCM fixed spheroid linearization matches ForwardDiff references" begin
@@ -371,15 +372,17 @@ end
     result = linearize_transition_matrix(problem, EBCMLinearization(); config)
     @test result.metadata.backend == :ebcm_analytic
     @test !hasproperty(result.metadata, :reference)
-    reference = TransitionMatrices.transition_matrix(Spheroid(x₀[1], x₀[2],
-                                                              complex(x₀[3], x₀[4])),
-                                                     x₀[5], nₘₐₓ, Ng)
+    reference = TransitionMatrices.transition_matrix(
+        Spheroid(x₀[1], x₀[2],
+            complex(x₀[3], x₀[4])),
+        x₀[5], nₘₐₓ, Ng)
     reference_jacobian = ForwardDiff.jacobian(transition_vector_from_parameters, x₀)
 
-    @test transition_vector_from_matrix(result.value) ≈ transition_vector_from_matrix(reference)
+    @test transition_vector_from_matrix(result.value) ≈
+          transition_vector_from_matrix(reference)
 
     for (j, var) in enumerate(vars)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ reference_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(result, var))≈reference_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 
     subset_x₀ = [x₀[5], x₀[1]]
@@ -387,13 +390,13 @@ end
     subset_problem = LinearizationProblem(subset_x₀; variables = subset_vars) do x
         c = zero(x[1]) + zero(x[2]) + x₀[2]
         (; shape = Spheroid(x[2], c, complex(x₀[3], x₀[4])),
-         λ = x[1])
+            λ = x[1])
     end
 
     function transition_vector_from_subset(x)
         base = zero(x[1]) + zero(x[2])
         s = Spheroid(base + x[2], base + x₀[2],
-                     complex(base + x₀[3], base + x₀[4]))
+            complex(base + x₀[3], base + x₀[4]))
         𝐓 = TransitionMatrices.transition_matrix(s, x[1], nₘₐₓ, Ng)
         return transition_vector_from_matrix(𝐓)
     end
@@ -403,7 +406,7 @@ end
     subset_jacobian = ForwardDiff.jacobian(transition_vector_from_subset, subset_x₀)
 
     for (j, var) in enumerate(subset_vars)
-        @test transition_vector_from_matrix(derivative(subset_result, var)) ≈ subset_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(subset_result, var))≈subset_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 
     real_m_problem = LinearizationProblem([x₀[5]]; variables = (:λ,)) do x
@@ -449,7 +452,7 @@ end
 
     reference_jacobian = ForwardDiff.jacobian(transition_vector_from_parameters, x₀)
     for (j, var) in enumerate(vars)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ reference_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(result, var))≈reference_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 end
 
@@ -487,7 +490,7 @@ end
 
     reference_jacobian = ForwardDiff.jacobian(transition_vector_from_parameters, x₀)
     for (j, var) in enumerate(vars)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ reference_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(result, var))≈reference_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 end
 
@@ -506,7 +509,7 @@ end
     problem = LinearizationProblem(x₀; variables = vars) do x
         base = zero(x[1]) + zero(x[2]) + zero(x[3])
         (; shape = Spheroid(base + a, base + c, complex(x[3], x[2])),
-         λ = x[1])
+            λ = x[1])
     end
 
     function transition_vector_from_matrix(𝐓)
@@ -525,27 +528,29 @@ end
     @test Bool(support)
 
     result = linearize_transition_matrix(problem, IITMLinearization(:axisymmetric);
-                                         config)
+        config)
     @test result.metadata.backend == :iitm_axisymmetric_analytic
     @test !hasproperty(result.metadata, :reference)
 
-    reference = TransitionMatrices.transition_matrix_iitm(Spheroid(a, c,
-                                                                   complex(x₀[3],
-                                                                           x₀[2])),
-                                                         x₀[1], nₘₐₓ, Nr, Nϑ)
+    reference = TransitionMatrices.transition_matrix_iitm(
+        Spheroid(a, c,
+            complex(x₀[3],
+                x₀[2])),
+        x₀[1], nₘₐₓ, Nr, Nϑ)
     reference_jacobian = ForwardDiff.jacobian(transition_vector_from_parameters, x₀)
 
-    @test transition_vector_from_matrix(result.value) ≈ transition_vector_from_matrix(reference)
+    @test transition_vector_from_matrix(result.value) ≈
+          transition_vector_from_matrix(reference)
     for (j, var) in enumerate(vars)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ reference_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(result, var))≈reference_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 
     geometry_problem = LinearizationProblem([a]; variables = (:a,)) do x
         (; shape = Spheroid(x[1], c, complex(x₀[3], x₀[2])), λ = x₀[1])
     end
     geometry_support = supports_linearization(geometry_problem,
-                                              IITMLinearization(:axisymmetric);
-                                              config)
+        IITMLinearization(:axisymmetric);
+        config)
     @test !Bool(geometry_support)
     @test occursin("fixed-geometry", geometry_support.reason)
 end
@@ -560,8 +565,7 @@ end
 
     TransitionMatrices.rmin(s::LinearizationArbitraryPrism) = rmin(s.s)
     TransitionMatrices.rmax(s::LinearizationArbitraryPrism) = rmax(s.s)
-    TransitionMatrices.refractive_index(s::LinearizationArbitraryPrism, x) =
-        refractive_index(s.s, x)
+    TransitionMatrices.refractive_index(s::LinearizationArbitraryPrism, x) = refractive_index(s.s, x)
 
     nₘₐₓ = 2
     Nr = 3
@@ -581,12 +585,11 @@ end
         (; shape = shape_from_parameters(x), λ = x[1])
     end
 
-    transition_vector_from_matrix(𝐓) =
-        vcat(real.(vec(𝐓.container)), imag.(vec(𝐓.container)))
+    transition_vector_from_matrix(𝐓) = vcat(real.(vec(𝐓.container)), imag.(vec(𝐓.container)))
 
     function transition_vector_from_parameters(x)
         𝐓 = TransitionMatrices.transition_matrix_iitm(shape_from_parameters(x), x[1],
-                                                      nₘₐₓ, Nr, Nϑ, Nφ)
+            nₘₐₓ, Nr, Nϑ, Nφ)
         return transition_vector_from_matrix(𝐓)
     end
 
@@ -594,18 +597,19 @@ end
     @test Bool(support)
 
     result = linearize_transition_matrix(problem, IITMLinearization(:arbitrary);
-                                         config)
+        config)
     @test result.metadata.backend == :iitm_arbitrary_analytic
     @test !hasproperty(result.metadata, :reference)
 
     reference = TransitionMatrices.transition_matrix_iitm(shape_from_parameters(x₀),
-                                                          x₀[1], nₘₐₓ, Nr, Nϑ,
-                                                          Nφ)
+        x₀[1], nₘₐₓ, Nr, Nϑ,
+        Nφ)
     reference_jacobian = ForwardDiff.jacobian(transition_vector_from_parameters, x₀)
 
-    @test transition_vector_from_matrix(result.value) ≈ transition_vector_from_matrix(reference)
+    @test transition_vector_from_matrix(result.value) ≈
+          transition_vector_from_matrix(reference)
     for (j, var) in enumerate(vars)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ reference_jacobian[:, j] atol=1e-7 rtol=1e-7
+        @test transition_vector_from_matrix(derivative(result, var))≈reference_jacobian[:, j] atol=1e-7 rtol=1e-7
     end
 end
 
@@ -627,12 +631,11 @@ end
         (; shape = shape_from_parameters(x), λ = x[1])
     end
 
-    transition_vector_from_matrix(𝐓) =
-        vcat(real.(vec(𝐓.container)), imag.(vec(𝐓.container)))
+    transition_vector_from_matrix(𝐓) = vcat(real.(vec(𝐓.container)), imag.(vec(𝐓.container)))
 
     function transition_vector_from_parameters(x)
         𝐓 = TransitionMatrices.transition_matrix_iitm(shape_from_parameters(x), x[1],
-                                                      nₘₐₓ, Nr, Nϑ, Nφ)
+            nₘₐₓ, Nr, Nϑ, Nφ)
         return transition_vector_from_matrix(𝐓)
     end
 
@@ -640,14 +643,15 @@ end
     @test Bool(support)
 
     result = linearize_transition_matrix(problem, IITMLinearization(:nfold);
-                                         config)
+        config)
     @test result.metadata.backend == :iitm_nfold_analytic
     @test !hasproperty(result.metadata, :reference)
 
     reference = TransitionMatrices.transition_matrix_iitm(shape_from_parameters(x₀),
-                                                          x₀[1], nₘₐₓ, Nr, Nϑ,
-                                                          Nφ)
-    @test transition_vector_from_matrix(result.value) ≈ transition_vector_from_matrix(reference)
+        x₀[1], nₘₐₓ, Nr, Nϑ,
+        Nφ)
+    @test transition_vector_from_matrix(result.value) ≈
+          transition_vector_from_matrix(reference)
 
     δ = 1e-6
     for (j, var) in enumerate(vars)
@@ -657,6 +661,6 @@ end
         x⁻[j] -= δ
         ∂ref = (transition_vector_from_parameters(x⁺) .-
                 transition_vector_from_parameters(x⁻)) ./ (2δ)
-        @test transition_vector_from_matrix(derivative(result, var)) ≈ ∂ref atol=2e-5 rtol=2e-5
+        @test transition_vector_from_matrix(derivative(result, var))≈∂ref atol=2e-5 rtol=2e-5
     end
 end
diff --git a/test/runtests.jl b/test/runtests.jl
index 7b59fa4..1a0ce30 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -2,4 +2,6 @@ using TransitionMatrices
 using Test
 using TestItemRunner
 
-@testset "TransitionMatrices.jl" begin @run_package_tests() end
+@testset "TransitionMatrices.jl" begin
+    @run_package_tests()
+end