Source code for stdKlongs
#!/usr/bin/env python3
##########################################################################
# basf2 (Belle II Analysis Software Framework) #
# Author: The Belle II Collaboration #
# #
# See git log for contributors and copyright holders. #
# This file is licensed under LGPL-3.0, see LICENSE.md. #
##########################################################################
from basf2 import B2FATAL, B2WARNING
from modularAnalysis import fillParticleList
[docs]
def stdKlongs(listtype='allklm', path=None):
"""
Warning:
This function is a placeholder for Klong selections. Currently
everything but the 'allklm' list is disabled pending study.
Prepares the 'K_L0:allklm' list with no cuts (all KLM clusters are loaded).
Parameters:
listtype (str): name of standard list options (currently only
'all' is supported/recommended)
path (basf2.Path): modules are added to this path
"""
# all KLM clusters
if listtype == 'allklm':
B2WARNING('The Klong particles in the list "allklm" are exclusively built from KLMClusters!')
fillParticleList('K_L0:allklm', '[isFromKLM > 0] and [klmClusterKlId >= 0] and [klmClusterKlId <= 1]', True, path)
elif listtype == 'allecl':
B2WARNING('The Klong particles in the list "allecl" are exclusively built from ECLClusters!')
fillParticleList('K_L0:allecl', 'isFromECL > 0', True, path)
else:
B2FATAL("""
Only the particle lists 'allklm' (Klongs built from KLM clusters) and 'allecl' (Klongs built from neutral ECLCluster) are
currently supported. Please use:
stdKlongs('allklm', path=mypath)
""")
# # loose KLs, removes buggy KLM clusters
# elif listtype == 'veryLoose':
# stdKlongs('all', path)
# selection = 'E > 0.5 and E < 10. and klmClusterTiming > -10 and klmClusterTiming < 100.'
# B2WARNING("The standard Klong lists are not studied or optimised yet. ")
# B2WARNING("Beware that anything more complex than the 'all' list may not work as desired (or at all).")
# B2WARNING("You will have the following cuts applied: %s" % selection)
# cutAndCopyList(
# 'K_L0:veryLoose',
# 'K_L0:all',
# selection,
# True,
# path)
#
# # additional cuts on KL_ID
# elif listtype == 'loose':
# stdKlongs('all', path)
# selection = 'E > 0.5 and E < 10. and klmClusterTiming > -10 and klmClusterTiming < 100. and klmClusterKlId > 0.04'
# B2WARNING("The standard Klong lists are not studied or optimised yet. ")
# B2WARNING("Beware that anything more complex than the 'all' list may not work as desired (or at all).")
# B2WARNING("You will have the following cuts applied: %s" % selection)
# cutAndCopyList(
# 'K_L0:loose',
# 'K_L0:all',
# selection,
# True,
# path)
#
# # additional cuts on KL_ID
# elif listtype == 'tight':
# stdKlongs('loose', path)
# tight_selection = 'klmClusterKlId > 0.2'
# B2WARNING("With the following additional tight selection: %s" % tight_selection)
# cutAndCopyList(
# 'K_L0:tight',
# 'K_L0:loose',
# tight_selection,
# True,
# path)