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BNMR/BNQR Data Fitting and Visualization

Project description

bfit

Beta-NMR GUI for reading, drawing, fitting data.

Run Instructions

To run the gui, call python3 -m bfit

bfit also provides the following classes and functions at the top level:

  • Functions

    • bfit.pulsed_exp
    • bfit.pulsed_strexp
    • bfit.pulsed_biexp
    • bfit.lorentzian
    • bfit.bilorentzian
    • bfit.quadlorentzian
    • bfit.gaussian
  • Minimization

    • bfit.minuit
    • bfit.global_fitter
    • bfit.global_bdata_fitter
    • bfit.fit_bdata

A description of these functions can be found here.

Setup

Dependencies needed pre-install

  • Cython: pip3 install Cython
  • numpy: pip3 install numpy
  • Tkinter for python3: sudo apt-get install python3-tk (for example),
  • python version 3.6 or higher

Install instructions

pip3 install bfit

Optional seteup

You may want to tell bfit where the data is stored. This is done by defining environment variables BNMR_ARCHIVE and BNQR_ARCHIVE (for convenience add this to your .bashrc script). The expected file format is as follows:

/path/
    bnmr/
    bnqr/
        2017/
        2018/
            045123.msr

In this example, you would set BNQR_ARCHIVE=/path/bnqr/ to the directory containing the year directories.

If bfit cannot find the data, it will attempt to download the files from musr.ca according to the defaults set in the bdata package.

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bfit-4.3.0.tar.gz (769.5 kB view hashes)

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