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
.
The configuration consists of the following main points (see example below too):
filter1
. Any other filter name will lead to the creation of a new file ending with _filtername
. This can be useful in case where an external field is applied on certain shots for example.image
key. Full is meaningless for now.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 to 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. 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 |