NAME

       pyFAI-average - utility that averages out a serie of files

DESCRIPTION

       usage: pyFAI-average [options] [options] -o output.edf file1.edf file2.edf ...

       This  tool can be used to average out a set of dark current images using mean or median filter (along the
       image stack). One can also reject outliers be specifying a cutoff (remove  cosmic  rays  /  zingers  from
       dark)

   positional arguments:
       FILE   Files to be processed

   options:
       -h, --help
              show this help message and exit

       -V, --version
              show program's version number and exit

       -o OUTPUT, --output OUTPUT
              Output/ destination of average image

       -m METHOD, --method METHOD
              Method used for averaging, can be 'mean' (default) or 'min', 'max', 'median', 'sum', 'quantiles' ,
              'cutoff', 'std'. Multiple filters can be defined with ',' separator.

       -c CUTOFF, --cutoff CUTOFF
              Take the mean of the average +/- cutoff * std_dev.

       -F FORMAT, --format FORMAT
              Output file/image format (by default EDF)

       -d DARK, --dark DARK
              Dark noise to be subtracted

       -f FLAT, --flat FLAT
              Flat field correction

       -v, --verbose
              switch to verbose/debug mode

       -q QUANTILES, --quantiles QUANTILES
              average out between two quantiles -q 0.20-0.90

       --monitor-name MONITOR_KEY
              Name  of the monitor in the header of each input files.  If defined the contribution of each input
              file is divided by the monitor. If the header does not contain or  contains  a  wrong  value,  the
              contribution of the input file is ignored. On EDF files, values from 'counter_pos' can accessed by
              using the expected mnemonic. For example 'counter/bmon'.

       --quiet
              Only error messages are printed out

       It  can  also  be  used  to merge many images from the same sample when using a small beam and reduce the
       spotty-ness of Debye-Sherrer rings. In this case the "max-filter" is usually recommended.

pyFAI-average version 0.21.1 from 20/01/2022       March 2022                                   PYFAI-AVERAGE(1)