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• ImgCalib uses the source and key_in parameters to get the input raw image (as ndarray<doublendarray<T,2> object), where T stands for uint16_t, int, float, uint8_t, or double,
• gets the calibration parameters from files fname_peds, fname_bkgd, fname_gain, fname_mask, and fname_nrms, if their names are specified,
• the specified by the file name corrections are applied per-pixel to raw data image as follows:

  Code Block

  A_cor = A_raw (1) - pedestal | if the file name is specified in the parameter "fname_peds" (2) - N*background | if the file name is specified in the parameter "fname_bkgd" (3) * gain | if the file name is specified in the parameter "fname_gain" (4) apply mask | if the file name is specified in the parameter "fname_mask" (5) apply N*RMS threshold | if the file name is specified in the parameter "fname_nrms" (6) apply threshold | if the "do_threshold" = true

• corrected image is saved in the event with key key_out. The type of output data is the same as the type of input data as double type.

Details:

• 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, and bkgd_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 the masked_value.

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