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

   optional arguments:
       -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 0.19.0 from 31/01/20February 2020                          PYFAI-AVERAGE(1)