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Jungfrau 0.5M, 1M, 4M
Information from Philip
Test runs
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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] -= ped0[fG0] # positive sign is accounted in gain0 constants
frame[fG1] -= ped1[fG1] # negative sign in gain1
frame[fG2] -= ped2[fG2] # negative sign in gain2 |
Dark runs processing
Command to process dark runs: jungfrau_ndarr_dark_proc, e.g.
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python Detector/examples/ex_jungfrau_images.py 3 # or 4 loops over dataset events plots calibrated image and raw spectrum: |
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3 - exp=xcsx22015:run=513 - data
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