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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, call python3 -m bfit

Setup after Install

Install is done simply by pip install bfit. Afterwards, 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.

A Tour of the GUI

Menu bar:

  • File
    • Calculator for B0 in BNQR
    • Calculator for B1 in BNMR
    • Export fetched data asymmetries to csv file
  • Settings
    • Set data directory. Defaults to environment variables BNMR_ARCHIVE and BNQR_ARCHIVE
    • Set matplotlib drawing defaults
    • Set other drawing defaults: markers, lines, etc.
    • Dynamically load user-written fitting routines.
    • Set auto update redraw period.
    • Set names of histograms used in asymmetry calculations.
  • Redraw Mode
    • Set drawing mode.
  • Help
    • Show help wiki.

Tabs:

  • File Details
    • File inspector. Use this to quickly view the contents and parameters of a given run. Use return to fetch and ctrl+return to quickly draw.
  • Fetch Data
    • Fetch many data files for quick superposition and to set up fitting routines. Data fetched here will be fitted on the next tab.
  • Fit Data
    • Fit the fetched data, and set fitting parameters.
    • View the fit parameters and draw as functions of each other.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
bfit-1.0.2.tar.gz (632.4 kB) Copy SHA256 hash SHA256 Source None

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