---
name: "MX-calibrate"
section: "1"
platform: "linux"
package: "pyfai"
version: "0.21.3+dfsg1-4"
release: "Debian 12 (Bookworm)"
platforms: ["linux"]
url: "https://new.carta.tech/MX-calibrate"
---

# MX-calibrate(1)

calibrate the distance of a detector from a set of powder diffraction patterns

## NAME

MX-Calibrate - calibrate the distance of a detector from a set of powder diffraction patterns

## DESCRIPTION

usage: MX-Calibrate **-w** 1.54 **-c** CeO2 file1.cbf file2.cbf ...

Calibrate automatically a set of frames taken at various sample-detector distance. Return the linear regression of the fit in funtion of the samplesetector distance.

### positional arguments:

- FILE

  List of files to calibrate

### options:

- **-h**, **--help**

  show this help message and exit

- **-V**, **--version**

  show program's version number and exit

- **-v**, **--verbose**

  switch to debug/verbose mode

- **-c** FILE, **--calibrant** FILE

  file containing d-spacing of the calibrant reference sample (MANDATORY)

- **-w** WAVELENGTH, **--wavelength** WAVELENGTH

  wavelength of the X-Ray beam in Angstrom

- **-e** ENERGY, **--energy** ENERGY

  energy of the X-Ray beam in keV (hc=12.398419843320026keV.A)

- **-P** POLARIZATION\_FACTOR, **--polarization** POLARIZATION\_FACTOR

  polarization factor, from **-1** (vertical) to +1 (horizontal), default is 0, synchrotrons are around 0.95

- **-b** BACKGROUND, **--background** BACKGROUND

  Automatic background subtraction if no value are provided

- **-d** DARK, **--dark** DARK

  list of dark images to average and subtract

- **-f** FLAT, **--flat** FLAT

  list of flat images to average and divide

- **-s** SPLINE, **--spline** SPLINE

  spline file describing the detector distortion

- **-p** PIXEL, **--pixel** PIXEL

  size of the pixel in micron

- **-D** DETECTOR\_NAME, **--detector** DETECTOR\_NAME

  Detector name (instead of pixel size+spline)

- **-m** MASK, **--mask** MASK

  file containing the mask (for image reconstruction)

- **--filter** FILTER

  select the filter, either mean(default), max or median

- **--saturation** SATURATION

  consider all pixel\>max\*(1-saturation) as saturated and reconstruct them

- **-r** MAX\_RINGS, **--ring** MAX\_RINGS

  maximum number of rings to extract

- **--weighted**

  weight fit by intensity

- **-l** DISTANCE, **--distance** DISTANCE

  sample-detector distance in millimeter

- **--tilt**

  Allow initially detector tilt to be refined (rot1, rot2, rot3). Default: Activated

- **--no-tilt**

  Deactivated tilt refinement and set all rotation to 0

- **--dist** DIST

  sample-detector distance in meter

- **--poni1** PONI1

  poni1 coordinate in meter

- **--poni2** PONI2

  poni2 coordinate in meter

- **--rot1** ROT1

  rot1 in radians

- **--rot2** ROT2

  rot2 in radians

- **--rot3** ROT3

  rot3 in radians

- **--fix-dist**

  fix the distance parameter

- **--free-dist**

  free the distance parameter

- **--fix-poni1**

  fix the poni1 parameter

- **--free-poni1**

  free the poni1 parameter

- **--fix-poni2**

  fix the poni2 parameter

- **--free-poni2**

  free the poni2 parameter

- **--fix-rot1**

  fix the rot1 parameter

- **--free-rot1**

  free the rot1 parameter

- **--fix-rot2**

  fix the rot2 parameter

- **--free-rot2**

  free the rot2 parameter

- **--fix-rot3**

  fix the rot3 parameter

- **--free-rot3**

  free the rot3 parameter

- **--fix-wavelength**

  fix the wavelength parameter

- **--free-wavelength**

  free the wavelength parameter

- **--no-gui**

  force the program to run without a Graphical interface

- **--gui**

  force the program to run with a Graphical interface

- **--no-interactive**

  force the program to run and exit without prompting for refinements

- **--interactive**

  force the program to prompt for refinements

- **--peak-picker** PEAKPICKER

  Uses the 'massif', 'blob' or 'watershed' peak-picker algorithm (default: blob)

This tool has been developed for ESRF MX-beamlines where an acceptable calibration is usually present is the header of the image. PyFAI reads it and does a "recalib" on each of them before exporting a linear regression of all parameters versus this distance.
