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Accumulation of spectra for image
The Mini-CSPad image arrays (185, 388, 2) of the cxi49812 runs from 200 to 214 were processed as flattened arrays of amplitude vs pixel and stored in the 2d array: spectra (143560, 120), where
- 143560 = 185*388*2 is a total number of pixels,
- 120 is a number of bins in the image amplitude range from -20 to 100 ADC units.
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
...
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 is calculated as a difference between 1- and 0- photon mean amplitudes.
- The gain correction factor is calculated for pixels with gain > 0 as
Code Block gain_correction_factor(pixel) = Amplitude_mean / Amplitude(pixel) - The pixel-by-pixel product of the mean 1-photon amplitude and the gain correction factor is also shown for corss-check.
Array for gain correction
- Numpy float32 array of the difference between 1- and 0- photon mean amplitudes gain correction factors are saved in the file
~dubrovin/LCLS/PyApps/GainCalibration/cxi49812-r0203-r0207-gain-correction-factors.np - Should be shaped as (185*388*2 = 143560)
Gain corrected 1-gamma images and spectra for runs 210, 211, and 212
Event-by-event gain corrected 1-gamma images and spectra for runs 210, 211, and 212
Image amplitudes are selected after gain correction with 20 ADC units threshold for 1-gamma.
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