nereids-fitting 0.2.1

Optimization engine for resonance fitting (LM, Poisson/KL)
Documentation

nereids-fitting

Optimization engine for fitting resonance models to measured transmission data.

Modules

  • [active_mask] — Active-bin masking for fit-energy-range restriction
  • [error] — Error types for the fitting crate
  • [forward_model] — Solver-agnostic forward model trait
  • [joint_poisson] — Joint-Poisson profile binomial deviance (counts path)
  • [lm] — Levenberg-Marquardt least-squares optimizer
  • [nelder_mead] — Bounded Nelder-Mead polish optimizer
  • [parameters] — Fit parameter types, bounds, constraints
  • [poisson] — Poisson-likelihood optimizer for low-count data
  • [transmission_model] — Transmission forward model adapter for fitting

SAMMY Reference

  • Fitting: fit/ module, fitAPI/, manual Sec. IV

TRINIDI Reference

  • trinidi/reconstruct.py for Poisson-likelihood and APGM approach