e7e16dd793d3c0eb34dbb95c6574ff9457145baf
The panel used a fixed 28% of the window height regardless of content, which left mostly empty space for the common single-run/single-histo case. Now, for plots with 1-5 run/legend entries, the panel is sized to what its own content actually needs; 6+ entries keep the previous behavior (the size the user last dragged to, or the 28%-of-viewport default). Measuring the true content height needs care: Element.scrollHeight only reports the *overflowing* content height, so while the content still fits inside the page's initial placeholder box it just echoes that box's (unrelated) size back. measureInfoContentHeight() briefly frees the element from its flex/height constraint to read its real intrinsic size, and measureInfoPanelHeight() adds the "RUN INFO" header's own height on top, since the sized grid row covers header and content together. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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:
https://lmu.pages.psi.ch/musrfit-docu/index.html
Contacts
For the beta-NMR related parts, please contact Zaher Salman zaher.salman@psi.ch
Description
muSR data analysis
https://lmu.pages.psi.ch/musrfit-docu/
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v1.12.0 - Stable 07/26
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