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ImgCalib gets the input raw image, subtracts pedestals and normalized background, apply the gain factors and mask, and saves the corrected image in the event.
Functionality:
- use ImgCalib uses the
source
andkey_in
parameters to get the input raw image (ndarray<double,2>), - get gets the calibration parameters from files
fname_peds
,fname_bkgd
,fname_gain
, andfname_mask
, if their names are specified, - the specified by the file name corrections are applied per-pixel to raw data as follows:
[[ {{ A_cor = (A_raw - pedestal - N*background) * gain (*apply) mask]]}}, - corrected image is saved in the event with key
key_out
.
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- All files with input calibration parameters should have the same shape as image and formatted as regular text file containing 2d matrix (table) of float (or integer) values, with columns separated by space(s), ' ', and rows(lines) terminated by the '\n'.
- Background normalization is performed in window defined by the parameters
bkgd_row_min
,bkgd_row_max
,bkgd_col_min
, andbkgd_col_max
. Normalization factor [N
] is evaluated for pixel amplitudes in this window as:
[N = sum(A_raw - pedestal) / sum(A_bkgd)
]. - Masking algorithm assumes that good pixels in the
fname_mask
file should be marked by '1' (ones) and bad pixels – by '0' (zeros). Mask is applied as a last correction. The bad masked pixel amplitudes are substituted by themasked_value
.
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