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def event(self, evt, env):
ipm = evt.getSharedIpimbValue("HFX-DG3-IMB-02")
# or equivalently:
# ipm = evt.get(xtc.TypeId.Type.Id_SharedIpimb, "HFX-DG3-IMB-02")
try:
### Raw data ###
# arrays of 4 numbers:
ch = [ipm.ipimbData.channel0(),
ipm.ipimbData.channel1(),
ipm.ipimbData.channel2(),
ipm.ipimbData.channel3()]
ch_volt = [^cspad_simple.pyipm.ipimbData.channel0Volts(),
ipm.ipimbData.channel1Volts(),
ipm.ipimbData.channel2Volts(),
ipm.ipimbData.channel3Volts()]
### Feature-extracted data ###
# array of 4 numbers:
fex_channels = ipm.ipmFexData.channel
# scalars:
fex_sum = ipm.ipmFexData.sum
fex_xpos = ipm.ipmFexData.xpos
fex_ypos = ipm.ipmFexData.ypos
except:
pass
|
...
If you want to draw the whole CsPad image, there's currently no pyana function that does this. Pyana only supplies the pixels in a numpy array, and the
exact location of each pixel depends on the conditions at the time of data collection. A simplified way of making the image can be seen e.g. in the
XtcExplorer/src/cspad.py or in cspad_simple.py(I'll upload the example code shortly).
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