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This script lives in in /reg/g/psdm/tutorials/examplePythonexamplePython3/cfd.py and demonstrates how to run a constant-fraction-discriminator algorithm on a waveform (similar to a peak-finder for area-detectors).
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from psana import * from pypsalg import find_edges ds = DataSource('exp=amotut13:run=206') det = Detector('AmoETOF.0:Acqiris.0') import matplotlib.pyplot as plt for nevent,evt in enumerate(ds.events()): waveforms,times = det.raw(evt) # find edges for channel 0 # parameters: baseline, threshold, fraction, deadtime, leading_edges edges = find_edges(waveforms[0],0.0,-0.05,1.0,5.0,True) # pairs of (amplitude,sampleNumber) print (edges) break |
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Sven Augustin suggested this code to get actual times instead of sample numbers for the edges:
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