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# cmpars=None # for default
# cmpars=(7,0,100) # turn off
# cmpars=(7,1,100) # correction in rows
# cmpars=(7,1,100) # correction in columns
# cmpars=(7,3,100) # correction in rows and columns
nda = jungfrau.calib(evt, cmpars=(7, 1, 100))

#8 - MEDIAN algorithm for pnCCD

Accounts for pixel mask and apply median correction for different group of pixels, selected by parameter 1:

• par[0] - algorithm # 8
• par[1] - mode of median algorithm for pixel groups: 0 - turned off | +1 - rows in banks (128 pix) | +2 - for rows (512 pix) |  +4 columns (512 pix) |  +8 banks (512x128 pix)
• par[2] - maximal allowed common mode correction

Code example:

# Call algorithm directly:
from Detector.UtilsPNCCD import common_mode_pnccd
common_mode_pnccd(nda, mask, cmp=(8,5,500))   # median in rows 128 and columns 512

# call through the Detector interface:
pnccd.common_mode_apply(evt, nda, (8,5,500), mask=mask) # new py
# OR
nda = pnccdd.calib(evt, (8,5,500), mask=mask) # generic calib method with mask parameter 

Test of the common mode correction for pnCCD

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