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#7 - MEDIAN algorithm for jungfrau and epix10ka

This algorithm evaluates common mode offset for specified by par[1] groups of pixels using method numpy.median.

  • par[0] - algorithm # 7
  • par[1] - mode 0/ +1/ +2/ +4 - turned off /  in rows /  in columns / in banks. Each correction consumes extra time.
  • par[2] - maximal allowed common mode correction in det.raw ADU to protect from over-correction at high illumination - needs to be adjusted by users per experiment
  • par[3] - minimal number of good pixels in mask and gain mode to evaluate median offset (optional, default =10)
Note

rows and columns are one dimensional set of pixels limited by the shape of bank.

  • jungfrau panel shape=(512,1024) consists of 2x4=8 ASICs (512256,512256), each ASIC contains 4 banks, bank shape=(256,64) 
  • epix10ka panel shape=(352,384) consists of 2x2=4 ASICs (176,192), each ASIC contains 4 banks, bank shape=(176,48) 

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