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This script lives in /reg/g/psdmsdf/group/lcls/ds/ana/tutorials/examplePython3psana1_examples/areaDetAccess.py and demonstrates how to access calibrated "unassembled data" (3D array, no geometry applied) and "assembled images" (2D array, geometry applied). Assembled/unassembled are only different for multi-panel detectors. For monolithic 2D area detectors they are the same.
NOTE: there are many other python methods of the Detector object for Area Detectors (e.g. x,y pixel coordinates, pedestal values, masks). One can see all the methods of a class using ipython tab completion, or looking at more complete documentation here, or examining examples in /reg/g/psdm/sw/releases/ana-current/Detector/examples3/ex_all_dets.py.
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from psana import * ds = DataSource('exp=xpptut15:run=54:smd') det = Detector('cspad') for nevent,evt in enumerate(ds.events()): # includes pedestal subtraction, common-mode correction, bad-pixel # suppresion, and returns an "unassembled" 3D array of cspad panels calib_array = det.calib(evt) # this is the same as the above, but also uses geometry to # create an "assembled" 2D image (including "fake pixels" in gaps) img = det.image(evt) break import matplotlib.pyplot as plt plt.imshow(img,vmin=-2,vmax=2) plt.show() |
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The "image" method can also be used to convert any array with the "unassembled" shape into "assembled" format (that is, applying the geometry) with a line like this:
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