suter_a c2327ba68a
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Implemented OpenMP parallelization of the independent-transform loops in both files, following the existing #ifdef HAVE_GOMP / #pragma omp parallel for pattern already used elsewhere in the codebase:
- src/musrFT.cpp: the timed Transform() loop over all PFourier objects is now parallelized. Added OpenMP::OpenMP_CXX linkage to the musrFT CMake target (it wasn't linked before).
  - src/classes/PMusrCanvas.cpp (HandleFourier() and HandleDifferenceFourier()): split each loop into three phases — serial PFourier construction (FFTW plan creation isn't thread-safe), a parallel Transform()
    loop (pure FFTW compute, safe to parallelize), and serial ROOT histogram creation/styling (ROOT globals aren't thread-safe). PMusr already links OpenMP, so only the #include <omp.h> and the pragma were
    needed.
2026-08-25 09:29:45 +02:00
2026-04-15 20:29:55 +02:00
2019-05-15 10:14:39 +02:00
2026-07-25 17:16:12 +02:00
2025-10-15 07:58:50 +02:00
2025-11-06 14:13:08 +01:00

musrfit - muSR and beta-NMR data analysis package

Contents

This is a data analysis package to analyze time differential muSR and beta-NMR data. Currently it allows the following:

  • set up most commonly used fitting functions for muSR and beta-NMR
  • fit data, including global fits
  • show the fit results and the residuals
  • show the Fourier transform of the data
  • easily extract the fit parameters and import in other programs (gnuplot, qtiplot/origin, ...)
  • generate input fitting files for follow-up runs
  • generate global input fitting files based on a single run template
  • implement more sophisticated user functions (e.g. GL vortex lattice, Meissner screening including low-energy muon stopping profiles)

Currently supported platforms:

Documentation

For a more exhaustive user documentation see:

https://lmu.pages.psi.ch/musrfit-docu/index.html

Contacts

andreas.suter@psi.ch

For the beta-NMR related parts, please contact Zaher Salman zaher.salman@psi.ch

S
Description
muSR data analysis
https://lmu.pages.psi.ch/musrfit-docu/
Readme
132 MiB
2026-07-22 08:24:31 +02:00
Languages
C++ 88.2%
Wolfram Language 6.5%
C 2.4%
CMake 1.9%
Perl 0.5%
Other 0.4%