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For each run we present the set of plots:

• Wiki Markup
  Spectra: 120 amplitude bins \* 143560 pixels (185\*388\*2 = 143560)

  
  Amplitude

  , amplitude range: \[-20, 100\] ADC units

• Spectrum of all pixels
• Spectrum of pixel 100000
• Spectrum of pixel 10000

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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.
The gain correction factor is calculated for pixels with gain > 0 as

      gain_correction_factor(pixel) = Amplitude_mean / Amplitude(pixel)

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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-r0207-1gain-correction-photonfactors.np
• Should be shaped as (185*388*2 = 143560)