.\" DO NOT MODIFY THIS FILE!  It was generated by help2man 1.49.3.
.TH FREE_BIFT "1" "February 2023" "free_bift 0.9.0" "User Commands"
.SH NAME
free_bift \- manual page for free_bift 0.9.0
.SH DESCRIPTION
usage: free_bift [OPTIONS] FILES
.PP
Calculate the density as function of distance p(r) curve from an I(q)
scattering curve
.SS "positional arguments:"
.TP
FILE
I(q) files to convert into p(r)
.SS "options:"
.TP
\fB\-h\fR, \fB\-\-help\fR
show this help message and exit
.TP
\fB\-v\fR, \fB\-\-verbose\fR
switch to verbose mode
.TP
\fB\-V\fR, \fB\-\-version\fR
show program's version number and exit
.TP
\fB\-o\fR OUTPUT, \fB\-\-output\fR OUTPUT
Output filename
.TP
\fB\-u\fR {nm,??,A}, \fB\-\-unit\fR {nm,??,A}
Unit for q: inverse nm or ??ngstrom?
.TP
\fB\-n\fR NPT, \fB\-\-npt\fR NPT
number of points in p(r) curve
.TP
\fB\-s\fR SCAN, \fB\-\-scan\fR SCAN
Initial alpha\-scan size to guess the start parameter
.TP
\fB\-m\fR MC, \fB\-\-mc\fR MC
Number of Monte\-Carlo samples in post\-refinement
.TP
\fB\-t\fR THRESHOLD, \fB\-\-threshold\fR THRESHOLD
Sample at average ?? threshold*sigma in MC
.PP
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.
.SH "SEE ALSO"
The full documentation for
.B free_bift
is maintained as a Texinfo manual.  If the
.B info
and
.B free_bift
programs are properly installed at your site, the command
.IP
.B info free_bift
.PP
should give you access to the complete manual.