Physics Reference

NEREIDS implements exact SAMMY physics for neutron resonance imaging. This chapter is a navigation guide to the rustdoc API documentation, not a standalone physics textbook.

All implementations reference specific sections of the SAMMY manual and SAMMY Fortran source files. See the rustdoc for each module for detailed equations and citations.

Cross-Section Formalisms

FormalismENDF LRFModuleSAMMY Reference
Reich-MooreLRF=3reich_mooreManual Sec 2, rml/
Single-Level Breit-WignerLRF=1,2slbwManual Sec 2, mlb/
R-Matrix LimitedLRF=7rmatrix_limitedManual Sec 2
Unresolved Resonance RegionLRU=2urrHauser-Feshbach

The penetrability and channel modules provide the underlying nuclear physics: hard-sphere phase shifts, penetrability factors, wave numbers, and statistical spin weights.

Broadening Models

Doppler Broadening

Free Gas Model (FGM) convolution accounting for thermal motion of target nuclei.

  • Module: doppler
  • SAMMY reference: dop/ module, manual Sec 3.1
  • Key function: doppler_broaden() using psi/chi auxiliary functions on an adaptive grid

Resolution Broadening

Instrument resolution broadening from flight-path uncertainty, timing jitter, and moderator pulse width.

  • Module: resolution
  • SAMMY reference: convolution/ module, manual Sec 3.2
  • Supports: Gaussian convolution, Gaussian + exponential tail, tabulated resolution functions

Transmission Model

Beer-Lambert transmission: T(E) = exp(-sum_i n_i sigma_i(E))

Where n_i is the areal density (atoms/barn) and sigma_i(E) is the broadened total cross-section for isotope i.

  • Module: transmission
  • SAMMY reference: cro/, xxx/ modules, manual Sec 2, Sec 5
  • Handles multi-isotope samples with shared Doppler temperature (one global temperature parameter, optionally fitted jointly with densities)

Fitting Engines

Levenberg-Marquardt

Standard nonlinear least-squares minimization for Gaussian-distributed data.

  • Module: lm
  • SAMMY reference: fit/ module, manual Sec 4
  • Parameters: areal densities with optional bounds, optional temperature fitting

Poisson KL Divergence

Maximum-likelihood fitting for low-count data where Gaussian statistics break down.

  • Module: poisson
  • Reference: TRINIDI approach (trinidi/reconstruct.py)
  • Uses bounds-based preconditioning for joint density + temperature fits

ENDF Nuclear Data

Resonance parameters are sourced from the ENDF/B library via the IAEA API:

Supported libraries: ENDF/B-VIII.0, ENDF/B-VIII.1, JEFF-3.3, JENDL-5.

Further Reading