Provided by: pyfai_0.21.1+dfsg1-1build1_all bug

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.

MX-Calibrate from pyFAI version 0.21.1: 20/0March22022                            MX-CALIBRATE(1)