Content

Informatin

Test runs

3/6/2017 Philip: The data is in cxi11216.  There is one tile.  I appear to be using runs 9,
11, and 12 as pedestals for gain 0, 1, 2.  Runs 18-22 have some data,
which is highly non-optimal; we have better stuff but in a painful format.

 First look at 1-st event of exp=cxi11216:run=40

Philip's code in /reg/neh/home/philiph/psana/jungfrau/singleModule/makeTuple.py (copy on 2017-05-10)

    g0cut = 1<<14
    g1cut = 2<<14
    g2cut = 3<<14

         fG0 = frame<g0cut
         fG1 = (frame>=g0cut) & (frame<g1cut)
         fG2 = frame>=g2cut
         fGval = fG0*1 + fG1*2 + fG2*3

         frame = (frame&0x3fff).astype('int')
         frame[fG0] = frame[fG0] - ped0[fG0]
         frame[fG1] = ped1[fG1] - frame[fG1]
         frame[fG2] = ped2[fG2] - frame[fG2]

Pedestal subtracted events  for runs 18, 22 from Philip: 

Correction

det.calib method is used to get Jungfrau calibrated data. Implementation in Detector/UtilsJungfrau.py

Apply pedestals' correction to the same data which were used for calibration of cxi11216, run 9,11,12, use "working" part of the segment:

    img.shape = (1024, 512)

    img = img[:512,:]

Run 9, gain 0

• raw:
• calib:
  
• common mode corrections in half-rows and columns for gain0 pixel as mask:
          
  

Run 11, gain 2

• raw:
• calib:

Run 12, gain 1

• raw:
• calib: