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Description of plots

For each run we present the set of plots:

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

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cxi49812-r0211, 15550 events

cxi49812-r0212, 47923 events

cxi49812-r0213, 22799 events

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cxi49812-r0214, 25638 events

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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.

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Array for gain correction

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• 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)