Man page - free_bift(1)

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Package: python3-freesas
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Manual

FREE_BIFT

NAME
DESCRIPTION
positional arguments:
options:
SEE ALSO

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 filename

-u , --unit {nm,??,A}

Unit for q: inverse nm or ??ngstrom?

-n , --npt NPT

number of points in p(r) curve

-s , --scan SCAN

Initial alpha-scan size to guess the start parameter

-m , --mc MC

Number of Monte-Carlo samples in post-refinement

-t , --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.