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Make sure to adapt the alias to the detectors names in your smalldata h5 file. The object rr (created from rr = tables.File(f).root) in the workspace allows for easy tab-exploration of the content of the h5 file to figure out variable names.

Example

Code Block
languagepy
themeRDark
# helper dict to find data in file
dataDict = {
    'scanvar': 'enc/lasDelay',
    'i0': 'ipm2/sum',
    'roi': 'jungfrau1M/ROI_0_area',
    'xon': 'lightStatus/xray',
    'lon': 'lightStatus/laser',
    'tt_corr': 'tt/ttCorr',
    'tt_fwhm': 'tt/FLTPOSFWHM',
    'tt_amp': 'tt/AMPL'
}

filters = {}
filters['i0'] = [200,10000]
filters['tt_amp'] = [0.02,0.2]
filters['tt_fwhm'] = [50,240]
damage = [dataDict['roi'].split('/')[0], dataDict['i0'].split('/')[0]]

print('Filter selection:')
for key,value in filters.items():
	print('\t{} : {}'.format(key, value))
hist_bins = {key: 35 for key in filters.keys()}


The goodness of the filters be be evaluated in the next cell, where histograms of the variables are shown together with the selected boundaries..