ERROR: Something went wrong. Integrator stepped past tstops but the algorithm was dtchangeable. Please report this error.

[toma-vlad]

Particular Initial Conditions Break The Solver

I was running a large number of trajectories for charged particles in electromagnetic field. At least one of the trajectories in the ensemble produce the error in the title. This behavior appears spuriously for certain arguments of setup_laser and the reltol, abstol arguments respectively.

Expected behavior

When running solve with the particular arguments presented in the MRE, the trajectory of at least the particular particle with initial coordinates

Minimal Reproducible Example 👇

The initial conditions would normally be generated using a function which takes the physical size and the number of particles as arguments. Here I used the UInt64 to Float64 in order to ensure no floating point shenanigans.

using OrdinaryDiffEqVerner, StaticArrays, LaserTypes

const a₀ = 1e-5
const ξx = 1.
const ξy = 0.

const c = 137.03599908330932 
const ω = 0.057 
const k = ω/c 
const qme = -1. 
const ϕ₀ = 0 
const w = 10. 
const τ = w/ω
const λ = 2π/k 
const w₀ = 75λ
const Rmax = 3.25w₀

profile = GaussProfile(τ = τ, z₀ = 0.)
my_laser = setup_laser(LaguerreGaussLaser, :atomic; λ, a₀, ϕ₀, w₀, p = 2, m = -2, ξx, ξy, profile)
  
const g = @SMatrix [1  0  0  0;                     
                    0 -1  0  0;
                    0  0 -1  0;
                    0  0  0 -1]

function dynEq(input_v, p, τ)     
    X = @view input_v[1:4]
    U = @view input_v[5:8]

    dU = qme * Fμν(X, p) * g * U

    return SVector{8}(U[1], U[2], U[3], U[4], dU[1], dU[2], dU[3], dU[4])
end

const τi, τf = - 8τ, 8τ

R₀ = reinterpret.(Float64, [0x413122c35a6d4bbe, 0xc149b42507a3f19a, 0xc1076b0efa418fa2])
u0 = [(τi*c); R₀; c; 0.; 0.; 0.;]

prob = ODEProblem{false, SciMLBase.FullSpecialize}(dynEq, SVector{8}(u0), (τi + R₀[3]/c, τf  + R₀[3]/c), my_laser)

solution = solve(prob, Vern9(); reltol = 1e-12, abstol = a₀*1e-10, 
                        save_everystep = false, save_end = true, maxiters = 10^10)

Error & Stacktrace ⚠️

ERROR: Something went wrong. Integrator stepped past tstops but the algorithm was dtchangeable. Please report this error.
Stacktrace:
  [1] error(s::String)
    @ Base .\error.jl:35
  [2] handle_tstop!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…})
    @ OrdinaryDiffEqCore C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\integrators\integrator_utils.jl:469
  [3] solve!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…})
    @ OrdinaryDiffEqCore C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:626
  [4] #__solve#62
    @ C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:7 [inlined]
  [5] __solve
    @ C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:1 [inlined]
  [6] solve_call(_prob::ODEProblem{…}, args::Vern9{…}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{…})
    @ DiffEqBase C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:670
  [7] solve_call
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:627 [inlined]
  [8] #solve_up#45
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1224 [inlined]
  [9] solve_up
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1201 [inlined]
 [10] #solve#43
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1096 [inlined]
 [11] top-level scope
    @ REPL[23]:1
Some type information was truncated. Use `show(err)` to see complete types.

and

julia> show(err)
1-element ExceptionStack:
Something went wrong. Integrator stepped past tstops but the algorithm was dtchangeable. Please report this error.
Stacktrace:
  [1] error(s::String)
    @ Base .\error.jl:35
  [2] handle_tstop!(integrator::OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{8, Float64}, Nothing, Float64, LaguerreGaussLaser{Val{2}, Val{-2}, Val{2}, Float64, Float64, Float64, Float64, Float64, Symbol, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, ComplexF64, ComplexF64, Tuple{Symbol, Symbol}, LinearAlgebra.UniformScaling{Bool}, Float64, GaussProfile{Float64, Float64, Float64}, Int64}, Float64, Float64, Float64, Float64, Vector{SVector{8, Float64}}, ODESolution{Float64, 2, Vector{SVector{8, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{8, Float64}}}, Nothing, ODEProblem{SVector{8, Float64}, Tuple{Float64, Float64}, false, LaguerreGaussLaser{Val{2}, Val{-2}, Val{2}, Float64, Float64, Float64, Float64, Float64, Symbol, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, ComplexF64, ComplexF64, Tuple{Symbol, Symbol}, LinearAlgebra.UniformScaling{Bool}, Float64, GaussProfile{Float64, Float64, Float64}, Int64}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{8, Float64}}, Vector{Float64}, Vector{Vector{SVector{8, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Bool, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Tuple{}, Tuple{}, Tuple{}}, SVector{8, Float64}, Float64, Nothing, OrdinaryDiffEqCore.DefaultInit, Nothing})
    @ OrdinaryDiffEqCore C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\integrators\integrator_utils.jl:469
  [3] solve!(integrator::OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{8, Float64}, Nothing, Float64, LaguerreGaussLaser{Val{2}, Val{-2}, Val{2}, Float64, Float64, Float64, Float64, Float64, Symbol, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, ComplexF64, ComplexF64, Tuple{Symbol, Symbol}, LinearAlgebra.UniformScaling{Bool}, Float64, GaussProfile{Float64, Float64, Float64}, Int64}, Float64, Float64, Float64, Float64, Vector{SVector{8, Float64}}, ODESolution{Float64, 2, Vector{SVector{8, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{8, Float64}}}, Nothing, ODEProblem{SVector{8, Float64}, Tuple{Float64, Float64}, false, LaguerreGaussLaser{Val{2}, Val{-2}, Val{2}, Float64, Float64, Float64, Float64, Float64, Symbol, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, ComplexF64, ComplexF64, Tuple{Symbol, Symbol}, LinearAlgebra.UniformScaling{Bool}, Float64, GaussProfile{Float64, Float64, Float64}, Int64}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{8, Float64}}, Vector{Float64}, Vector{Vector{SVector{8, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Bool, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Tuple{}, Tuple{}, Tuple{}}, SVector{8, Float64}, Float64, Nothing, OrdinaryDiffEqCore.DefaultInit, Nothing})
    @ OrdinaryDiffEqCore C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:626
  [4] #__solve#62
    @ C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:7 [inlined]
  [5] __solve
    @ C:\Users\Deceneu\.julia\packages\OrdinaryDiffEqCore\AYNr9\src\solve.jl:1 [inlined]
  [6] solve_call(_prob::ODEProblem{SVector{8, Float64}, Tuple{Float64, Float64}, false, LaguerreGaussLaser{Val{2}, Val{-2}, Val{2}, Float64, Float64, Float64, Float64, Float64, Symbol, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, Float64, ComplexF64, ComplexF64, Tuple{Symbol, Symbol}, LinearAlgebra.UniformScaling{Bool}, Float64, GaussProfile{Float64, Float64, Float64}, Int64}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(dynEq), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{reltol::Float64, abstol::Float64, save_everystep::Bool, save_end::Bool, maxiters::Int64})
    @ DiffEqBase C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:670
  [7] solve_call
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:627 [inlined]
  [8] #solve_up#45
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1224 [inlined]
  [9] solve_up
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1201 [inlined]
 [10] #solve#43
    @ C:\Users\Deceneu\.julia\packages\DiffEqBase\yshbt\src\solve.jl:1096 [inlined]
 [11] top-level scope
    @ REPL[23]:1

Environment (please complete the following information):

This was tested on 3 separate machines:

• AMD Ryzen 5 3600 6-Core Processor

Status `C:\Users\Deceneu\.julia\environments\v1.11\Project.toml`
  [21141c5a] AMDGPU v1.3.5
  [6e4b80f9] BenchmarkTools v1.6.0
  [071ae1c0] DiffEqGPU v3.7.0
  [e9467ef8] GLMakie v0.13.3
  [b964fa9f] LaTeXStrings v1.4.0
  [e07c0bfa] LaserTypes v0.1.8
  [e1fe445b] NativeFileDialog v0.2.1
  [1dea7af3] OrdinaryDiffEq v6.98.0
  [79d7bb75] OrdinaryDiffEqVerner v1.2.0
⌃ [91a5bcdd] Plots v1.40.11
  [90137ffa] StaticArrays v1.9.13
  [ac1d9e8a] ThreadsX v0.1.12
Info Packages marked with ⌃ have new versions available and may be upgradable.

• Intel(R) Xeon(R) Platinum 8358

Status `~/.julia/environments/v1.11/Project.toml`
  [6e4b80f9] BenchmarkTools v1.6.0
  [052768ef] CUDA v5.8.2
  [071ae1c0] DiffEqGPU v3.7.0
  [a98d9a8b] Interpolations v0.16.1
  [b964fa9f] LaTeXStrings v1.4.0
  [e07c0bfa] LaserTypes v0.1.8
  [1dea7af3] OrdinaryDiffEq v6.98.0
  [91a5bcdd] Plots v1.40.16
  [c82cd089] SlurmClusterManager v1.1.0
  [90137ffa] StaticArrays v1.9.13
  [811555cd] ThreadPinning v1.0.2
  [ac1d9e8a] ThreadsX v0.1.12
  [b8865327] UnicodePlots v3.8.0

and

• Intel(R) Core(TM) i9-14900K

Status `/tmp/jl_RRLQl4/Project.toml`
  [e07c0bfa] LaserTypes v0.1.8
  [79d7bb75] OrdinaryDiffEqVerner v1.2.0
  [90137ffa] StaticArrays v1.9.13
  [37e2e46d] LinearAlgebra v1.11.0

• Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)

For the Ryzen 3600

julia> using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `C:\Users\Deceneu\.julia\environments\v1.11\Manifest.toml`
  [47edcb42] ADTypes v1.15.0
  [21141c5a] AMDGPU v1.3.5
  [621f4979] AbstractFFTs v1.5.0      
  [1520ce14] AbstractTrees v0.4.5     
  [6a4ca0a5] AcceleratedKernels v0.4.2
  [7d9f7c33] Accessors v0.1.42        
  [79e6a3ab] Adapt v4.3.0
  [35492f91] AdaptivePredicates v1.2.0
  [66dad0bd] AliasTables v1.1.3
  [27a7e980] Animations v0.4.2
  [dce04be8] ArgCheck v2.5.0
  [4fba245c] ArrayInterface v7.19.0
  [4c555306] ArrayLayouts v1.11.1
  [a9b6321e] Atomix v1.1.1
⌅ [15f4f7f2] AutoHashEquals v0.2.0
  [67c07d97] Automa v1.1.0
  [13072b0f] AxisAlgorithms v1.1.0
  [39de3d68] AxisArrays v0.4.7
  [198e06fe] BangBang v0.4.4
  [18cc8868] BaseDirs v1.3.1
  [9718e550] Baselet v0.1.1
  [6e4b80f9] BenchmarkTools v1.6.0
  [d1d4a3ce] BitFlags v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [70df07ce] BracketingNonlinearSolve v1.3.0
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.6
  [96374032] CRlibm v1.0.2
  [49dc2e85] Calculus v0.5.2
  [d360d2e6] ChainRulesCore v1.25.2
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [944b1d66] CodecZlib v0.7.8
  [a2cac450] ColorBrewer v0.4.1
⌃ [35d6a980] ColorSchemes v3.29.0
⌃ [3da002f7] ColorTypes v0.12.0
  [c3611d14] ColorVectorSpace v0.11.0
⌃ [5ae59095] Colors v0.13.0
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
⌃ [34da2185] Compat v4.16.0
  [a33af91c] CompositionsBase v0.1.2
  [95dc2771] ComputePipeline v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [187b0558] ConstructionBase v1.6.0
  [d38c429a] Contour v0.6.3
  [150eb455] CoordinateTransformations v0.6.4
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [927a84f5] DelaunayTriangulation v1.6.4
  [8bb1440f] DelimitedFiles v1.9.1
⌃ [2b5f629d] DiffEqBase v6.177.1
  [071ae1c0] DiffEqGPU v3.7.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
⌃ [a0c0ee7d] DifferentiationInterface v0.7.1
  [31c24e10] Distributions v0.25.120
⌃ [ffbed154] DocStringExtensions v0.9.3
  [547eee1f] ElasticClusterManager v2.0.0
  [4e289a0a] EnumX v1.0.5
  [f151be2c] EnzymeCore v0.8.12
  [429591f6] ExactPredicates v2.2.8
  [460bff9d] ExceptionUnwrapping v0.1.11
  [d4d017d3] ExponentialUtilities v1.27.0
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [411431e0] Extents v0.1.6
  [c87230d0] FFMPEG v0.4.2
  [7a1cc6ca] FFTW v1.9.0
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [442a2c76] FastGaussQuadrature v1.0.2
  [a4df4552] FastPower v1.1.3
  [5789e2e9] FileIO v1.17.0
⌅ [8fc22ac5] FilePaths v0.8.3
  [48062228] FilePathsBase v0.9.24
  [1a297f60] FillArrays v1.13.0
  [6a86dc24] FiniteDiff v2.27.0
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v1.0.1
  [b38be410] FreeType v4.1.1
  [663a7486] FreeTypeAbstraction v0.10.8
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [f7f18e0c] GLFW v3.4.4
  [e9467ef8] GLMakie v0.13.3
  [0c68f7d7] GPUArrays v11.2.3
  [46192b85] GPUArraysCore v0.2.0
  [61eb1bfa] GPUCompiler v1.6.1
  [096a3bc2] GPUToolbox v0.2.0
⌃ [28b8d3ca] GR v0.73.13
  [c145ed77] GenericSchur v0.5.5
  [5c1252a2] GeometryBasics v0.5.10
  [3955a311] GridLayoutBase v0.11.1
  [42e2da0e] Grisu v1.0.2
⌃ [cd3eb016] HTTP v1.10.15
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [615f187c] IfElse v0.1.1
  [2803e5a7] ImageAxes v0.6.12
  [c817782e] ImageBase v0.1.7
  [a09fc81d] ImageCore v0.10.5
  [82e4d734] ImageIO v0.6.9
  [bc367c6b] ImageMetadata v0.9.10
  [9b13fd28] IndirectArrays v1.0.0
  [d25df0c9] Inflate v0.1.5
  [22cec73e] InitialValues v0.3.1
⌅ [a98d9a8b] Interpolations v0.15.1
  [d1acc4aa] IntervalArithmetic v0.22.36
  [8197267c] IntervalSets v0.7.11
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.4
  [f1662d9f] Isoband v0.1.1
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
⌃ [1019f520] JLFzf v0.1.10
  [692b3bcd] JLLWrappers v1.7.0
  [682c06a0] JSON v0.21.4
  [ae98c720] Jieko v0.2.1
  [b835a17e] JpegTurbo v0.1.6
  [63c18a36] KernelAbstractions v0.9.36
  [5ab0869b] KernelDensity v0.6.9
  [ba0b0d4f] Krylov v0.10.1
  [929cbde3] LLVM v9.4.2
  [b964fa9f] LaTeXStrings v1.4.0
  [e07c0bfa] LaserTypes v0.1.8
⌃ [23fbe1c1] Latexify v0.16.6
  [10f19ff3] LayoutPointers v0.1.17
  [5078a376] LazyArrays v2.6.1
  [8cdb02fc] LazyModules v0.3.1
  [87fe0de2] LineSearch v0.1.4
  [d3d80556] LineSearches v7.4.0
  [7ed4a6bd] LinearSolve v3.18.2
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
⌃ [1914dd2f] MacroTools v0.5.15
  [ee78f7c6] Makie v0.24.3
  [d125e4d3] ManualMemory v0.1.8
  [dbb5928d] MappedArrays v0.4.2
  [0a4f8689] MathTeXEngine v0.6.5
  [bb5d69b7] MaybeInplace v0.1.4
  [739be429] MbedTLS v1.1.9
  [eff96d63] Measurements v2.14.0
  [442fdcdd] Measures v0.3.2
  [7269a6da] MeshIO v0.5.3
  [128add7d] MicroCollections v0.2.0
  [e1d29d7a] Missings v1.2.0
  [66fc600b] ModernGL v1.1.8
  [e94cdb99] MosaicViews v0.3.4
⌃ [2e0e35c7] Moshi v0.3.6
  [46d2c3a1] MuladdMacro v0.2.4
  [d41bc354] NLSolversBase v7.10.0
⌃ [77ba4419] NaNMath v1.1.2
  [e1fe445b] NativeFileDialog v0.2.1
  [f09324ee] Netpbm v1.1.1
  [8913a72c] NonlinearSolve v4.9.0
  [be0214bd] NonlinearSolveBase v1.12.0
  [5959db7a] NonlinearSolveFirstOrder v1.5.0
  [9a2c21bd] NonlinearSolveQuasiNewton v1.6.0
  [26075421] NonlinearSolveSpectralMethods v1.2.0
  [510215fc] Observables v0.5.5
  [6fe1bfb0] OffsetArrays v1.17.0
  [52e1d378] OpenEXR v0.3.3
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

• Output of versioninfo()

For the Ryzen 3600

julia> versioninfo()
Julia Version 1.11.3
Commit d63adeda50 (2025-01-21 19:42 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 12 × AMD Ryzen 5 3600 6-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver2)
Threads: 12 default, 0 interactive, 6 GC (on 12 virtual cores)

[toma-vlad]

As I was working to make the MRE shorter, I realized that if I make all the vectors native Julia vectors, instead of StaticArrays, it makes the error go away.

Errorless MRE

using OrdinaryDiffEqVerner, LaserTypes

const a₀ = 1e-5
const ξx = 1.
const ξy = 0.

const c = 137.03599908330932 
const ω = 0.057 
const k = ω/c 
const qme = -1. 
const ϕ₀ = 0 
const w = 10. 
const τ = w/ω
const λ = 2π/k 
const w₀ = 75λ
const Rmax = 3.25w₀

profile = GaussProfile(τ = τ, z₀ = 0.)
my_laser = setup_laser(LaguerreGaussLaser, :atomic; λ, a₀, ϕ₀, w₀, p = 2, m = -2, ξx, ξy, profile)
  
const g = [1  0  0  0; 0 -1  0  0; 0  0 -1  0; 0  0  0 -1]

function dynEq(input_v, p, τ)     
    X = @view input_v[1:4]
    U = @view input_v[5:8]

    dU = qme * Fμν(X, p) * g * U

    return  [U[1], U[2], U[3], U[4], dU[1], dU[2], dU[3], dU[4]]
end

const τi, τf = - 8τ, 8τ

R₀ = reinterpret.(Float64, [0x413122c35a6d4bbe, 0xc149b42507a3f19a, 0xc1076b0efa418fa2])
u0 = [(τi*c); R₀; c; 0.; 0.; 0.;]

prob = ODEProblem{false, SciMLBase.FullSpecialize}(dynEq, u0, (τi + R₀[3]/c, τf  + R₀[3]/c), my_laser)

solution = solve(prob, Vern9(); reltol = 1e-12, abstol = a₀*1e-10, 
                        save_everystep = false, save_end = true, maxiters = 10^10)

Gives retcode: Success.

[oscardssmith]

without a definition for Fμν this won't be runnable (or is that exported by LaserTypes?)

[SebastianM-C]

it's exported by LaserTypes