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This module works on CSPad data array (shaped as \[5920=4*8*185\]\[388\]), uses the "median algorithm" to evaluate the signal and noise for each pixel, evaluates S/N ratio for each pixel, counts the fraction of events where {{S/N \> SoNThr}}, and writes the same shape arrays for pixel mask and status information in the {{maskfile}} and {{statusfile}}, respectively. The {{statusfile}} contains for each pixel the fraction of events where {{S/N \> SoNThr}}. |
Module configuration parameters:
source
(default: "DetInfo(:Cspad)") – input source of datakey
(default: "") – key for input data, for example, it might be "calibrated"SoNThr
statusfile
(default: 3) – S/N threshold for each pixel to be considered as noisyfrac_noisy_img
(default: 0.1) – fraction of noisy images above which pixel is masked in themaskfile
- "cspad-pix-status.dat") – out file with pixel status: fraction of noisy images
maskfile
(default: "cspad-pix-mask.dat") – out file with pixel maskrmin
Rmin
(default: 3) – radial parameter of the area for median algorithmdR
dr
(default: 21) – radial band width of the area for median algorithmstatusfile
SoNThr
(default: "cspad-pix-status.dat") – out file with pixel status: fraction of noisy imagesmaskfile
(default: "cspad-pix-mask.dat") – out file with pixel mask3) – S/N threshold for each pixel to be considered as noisyfrac_noisy_img
(default: 0.1) – fraction of noisy images above which pixel is masked in themaskfile
print_bits
(default: 0) – module verbosity:- =0 - print nothing,
- +1 - input pars,
- +2 - empty,
- +4 - processed statistics at the end of each stage,
- +8 - output in files,
- +16 - event ID,
- +32 - event time stamp,
- +32 - vector of indexes and map of indexes for the median algorithm.
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