---
name: "free_bift"
section: "1"
platform: "linux"
package: "python3-freesas"
version: "2024.9.0-3"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/free_bift"
---

# free\_bift(1)

manual page for free\_bift 2024.9.0

## 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.

## 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.