Content

Description of plots

For each run we present the set of plots:

• Spectra: 120 amplitude bins * 143560 pixels (185*388*2 = 143560)
  Amplitude range: -20, 100 ADC units
• Spectrum of all pixels
• Spectrum of pixel 100000
• Spectrum of pixel 10000

Plots

cxi49812-r0200, 42962 events

cxi49812-r0201, 15990 events

cxi49812-r0202, 40336 events

cxi49812-r0203, 10197 events

cxi49812-r0204, 66368 events

cxi49812-r0205, 32111 events

cxi49812-r0206, 73412 events

cxi49812-r0207, 29735 events

cxi49812-r0208, 35901 events

cxi49812-r0209, 27595 events

cxi49812-r0210, 34038 events

cxi49812-r0211, 15550 events

cxi49812-r0212, 47923 events

cxi49812-r0213, 22799 events

cxi49812-r0214, 25638 events

Sum of spectra for runs 202-207

To find the gain correction factors we sum together spectra of all runs with back-scattered photons
without fluorescense.

Additional plots

For each pixel spectrum the mean 0- and 1-photon amplitude is estimated
as a weighted average over spectrum for amplitudes <20 and ? 20, respectively.
The gain factor is calculated as a difference between 1- and 0- photon mean amplitudes.

Array for gain correction

• Numpy float32 array of the difference between 1- and 0- photon mean amplitudes are saved in the file ~dubrovin/LCLS/PyApps/GainCalibration/gain-cxi49812-r0203-r0207-1-photon.np
• Should be shaped as (185*388*2 = 143560)