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for nevent, evt in enumerate(ds.events()): if nevent == 10: break # cmpars = [6] because this is the 6th common mode algorithm and it must be in a list format # Add arguments on as seen fit nda = det.calib(evt, cmpars = [6], rms = det.rms(evt), maxCorr = 25) |
#7 - MEDIAN algorithm for jungfrau
- par[0] - algorithm # 7
- par[1] - mode 0/ +1/ +2 - turned off / median for rows / median for columns
- par[2] - maximal allowed common mode correction
Default parameters:
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7 1 100 0 0 0 0 0 0 0 0 0 0 0 0 0 |
Code:
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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)) |
Test of the common mode correction for pnCCD
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