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Erik FröjdhandClaude Fable 5.1
86a773f6db
Bring the dependency-free Levenberg-Marquardt solver from dev/custom-fit in as Minimizer::LevenbergMarquardt next to Minuit2's Migrad (default) and Fumili, selected through the FitModel constructor, SetMinimizer() or the Python `minimizer` argument and property. - FitModel becomes plain data (limits, fixed flags, start values, minimizer settings) with index and limit validation. Minuit2 user parameters are built per pixel in src/FitMinuit2.cpp, the only translation unit that includes Minuit2 headers. - fit_3d fits through a per-thread PixelFitter so the LM path allocates nothing per pixel, and no minimizer allocates a per-pixel result array. - Fixed parameters and parameters ending on a limit report an error of 0 with every minimizer; user start values are applied before the validity check and clamped into the limits. - Minuit2's Fumili cannot converge once a two-sided limit is active, so such pixels are refitted with Migrad. The Minuit2 minimizers keep a wide two-sided range for one-sided limits because Minuit2's one-sided transform converges markedly slower. - The [fit] tests run every scenario through all three minimizers and check that they agree; the benchmark gains LM and data-cube cases. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>