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Default parameters are set for regular single-stage averaging without any constrains.
See also Example for Module ImgAlgos::ImgAverage.
Module ImgAlgos::ImgMaskEvaluation
This module gets the image data array (ndarray<double,2>) and evaluates two masks:
- saturated mask for pixels, which had an intensity above the saturation-threshold at least once per run.
- noise mask for pixels, which cross the noise-threshold with frequency exceeding the specified fraction of events.
In the endJob this module saves files (if their names are provided) of image size for: - saturated mask
- noise mask,
- combined mask,
- fraction of noisy events,
- fraction of saturated events.
Module configuration parameters:
source
(default: "DetInfo(:Opal1000")) – input source of data,key
(default: "") – key for input data, for example, it might be "calibrated",file_satu
(default: "img-mask-satu.dat") – out file with saturated mask,file_noise
(default: "img-mask-noise.dat") – out file with noise mask,file_comb
(default: "img-mask-comb.dat") – out file with combined mask,file_frac_satu
(default: "img-frac-satu.dat") – out file with sfraction of aturated events,file_frac_noise
(default: "img-frac-noise.dat") – out file with fraction of noisy events,thre_satu
(default: 1000000) – saturation-threshold,thre_noise
(default: 0) – noise-threshold,frac_noise
(default: 0.5) – allowed fraction of noisy events,print_bits
(default: 0) – module verbosity:- =0 - print nothing,
- +1 - input pars,
- +2 - event record,
- +4 - beginning of 3 stages,
- +8 - processed statistics at the end of each stage,
- +16 - output in files.
Module ImgAlgos::ImgCalib
ImgCalib gets the raw image from data and process it as follows:
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