This section details how to set up custom binning of the full detector images and save the output to an hdf5 file.
The main cube script is ./producers/letsCube.py, but this file should generally not be modified. The configuration is done through a hutch-specific file of the type ./producers/cube_config_<hutch>.py.
Example config file for XPP:
import numpy as np
# custom bins
def binBoundaries(run):
if isinstance(run,str):
run=int(run)
if run>0:
return np.arange(-5.,50.,0.2)
return None
# filters to apply ont the data
# format: list of [det (field), low, high, name]
# 'filter1' is the standard name and will not be added to the h5 file name.
filters = [
['lightStatus/xray',0.5,1.5,'filter1'],
['ipm2/sum',3e2,6e4,'filter1'],
['evr/code_41',0.5,1.5,'custom']
]
# Laser on/off. If True will create a _on and _off cubed file
laser = True
# List detectors to be cubed. Area detector have additional options such as threshold
# For now only full image or calib works. TODO: Add photon maps. And then any detObjectFunc
# Detectors should then be added to varList
detDict = {'source':'jungfrau1M',
'full':1,
'image':0,
'thresADU':6.5,
'common_mode':0}
varList = ['ipm2/sum','ipm3/sum','diodeU/channels', detDict]
# histogram configuration. Usually does not need to be changed
# field: destination in smd, list: [low,high,n] or None (then default to some percentile)
hist_list = {
'ipm2/sum': [0, 5e4, 70],
'ipm3/sum': [0, 5e3, 70],
'tt/FLTPOS_PS': [-0.5, 0.5, 70],
'tt/AMPL': [0, 0.2, 70],
'tt/FLTPOSFWHM': [0, 300, 70]
}
# save as tiff file (ignore unless MEC)
save_tiff = False
The configuration consists of the following main points:
- Custom bin definition: using a run-based logic, one can define how to bin the data here. If no bins are given for a run, then the unique position of the corresponding scan motor will be used. The former is typically used for time or energy fly-scans and the latter is recommended for regular motor scans, such as phi or laser lens scans
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