833171c712
This patch adds routines for writing a comprehensive set of fit results (i.e., parameter values, parabolic errors, asymmetric errors, covariances, correlation coefficients, etc.) for an individual `.msr` file to an easy-to-read/parse `.yaml` file. The main motivation for the code addition is to provide users with easy access to the fit's covariance matrix without the need for "extra" manual effort (e.g., parsing the contents of `MINUIT2.OUTPUT` or `MINUIT2.root`). The other fit quantities are also included for completeness. Reading/accessing the output is trivial using, for example, the PyYAML Python library (https://github.com/yaml/pyyaml): ```python import yaml with open("2125_tf_histo.yaml", "r") as fh: results = yaml.load(fh, Loader=yaml.SafeLoader) cov = results["covariance"]["Field_1"]["Sigma_1"] ``` Note: the naming conventions chosen for the blocks in the `.yaml` output closely follow those used by the iminuit Python library (https://github.com/scikit-hep/iminuit).
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:
- Linux
- Mac OS X
- Windows 10 1809 or newer - current state is for the commited ones
- Web based implementation - http://musruser.psi.ch/cgi-bin/musrfit.cgi
Documentation
For a more exhaustive user documentation see:
http://lmu.web.psi.ch/musrfit/user/html/index.html
Contacts
For the beta-NMR related parts, please contact Zaher Salman zaher.salman@psi.ch