NAME

       free_bift - manual page for free_bift 2024.9.0

DESCRIPTION

       usage: free_bift [OPTIONS] FILES

       Calculate the density as function of distance p(r) curve from an I(q) scattering curve

   positional arguments:
       FILE   I(q) files to convert into p(r)

   options:
       -h, --help
              show this help message and exit

       -v, --verbose
              switch to verbose mode

       -V, --version
              show program's version number and exit

       -o OUTPUT, --output OUTPUT
              Output filename

       -u {nm,??,A}, --unit {nm,??,A}
              Unit for q: inverse nm or ??ngstrom?

       -n NPT, --npt NPT
              number of points in p(r) curve

       -s SCAN, --scan SCAN
              Initial alpha-scan size to guess the start parameter

       -m MC, --mc MC
              Number of Monte-Carlo samples in post-refinement

       -t THRESHOLD, --threshold THRESHOLD
              Sample at average ?? threshold*sigma in MC

       free_bift  is  a Python implementation of the Bayesian Inverse Fourier Transform This code
       is the implementation of Steen Hansen J. Appl. Cryst. (2000). 33, 1415-1421 Based  on  the
       BIFT            from            Jesse           Hopkins,           available           at:
       https://sourceforge.net/p/bioxtasraw/git/ci/master/tree/bioxtasraw/BIFT.py  It   aims   at
       being a drop in replacement for datgnom of the ATSAS suite.

SEE ALSO

       The  full  documentation for free_bift is maintained as a Texinfo manual.  If the info and
       free_bift programs are properly installed at your site, the command

              info free_bift

       should give you access to the complete manual.