import psana
ds = psana.DataSource('exp=xpptut15:run=54:smd')
det = psana.Detector('cspad',ds.env())
for nevent,evt in enumerate(ds.events()):
# includes pedestal subtraction, common-mode correction
# bad-pixel suppression, and geometry
img = det.image(evt)
break
import matplotlib.pyplot as plt
plt.imshow(img,vmin=-2,vmax=2)
plt.show()
You can find a version with more advanced graphics here.
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