Belle II Software
release-05-02-19
variablesToNtuple.py
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#!/usr/bin/env python3
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# The VariablesToNtuple module saves variables from the VariableManager
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# to a candidate-based (or event-based) TTree
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#
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# Thomas Keck and Sam Cunliffe
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#
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# For full documentation please refer to https://software.belle2.org
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# Anything unclear? Ask questions at https://questions.belle2.org
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import
basf2
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import
modularAnalysis
as
ma
# a shorthand for the analysis tools namespace
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mypath = basf2.Path()
# create a new path
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# add input data and ParticleLoader modules to the path
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ma.inputMdstList(
'default'
, [basf2.find_file(
'analysis/tests/mdst.root'
)], path=mypath)
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ma.fillParticleLists([(
'K-'
,
'kaonID > 0.2'
), (
'pi+'
,
'pionID > 0.2'
)], path=mypath)
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ma.reconstructDecay(
'D0 -> K- pi+'
,
'1.750 < M < 1.95'
, path=mypath)
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ma.matchMCTruth(
'D0'
, path=mypath)
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# Add the VariablesToNtuple module explicitly.
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# This will write out one row per candidate in the D0 list
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mypath.add_module(
'VariablesToNtuple'
,
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particleList=
'D0'
,
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variables=[
'dM'
,
'isSignal'
,
'mcErrors'
,
'p'
,
'E'
,
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'daughter(0, kaonID)'
,
'daughter(1, pionID)'
],
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fileName=
'CandidateVariables.root'
)
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# Add another instance of the VariablesToNtuple module.
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# If the particle list is empty one row per event is written to the Ntuple,
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# but all the variables to specify have to be event-based
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mypath.add_module(
'VariablesToNtuple'
,
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particleList=
''
,
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variables=[
'nTracks'
,
'isMC'
,
'year'
],
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fileName=
'EventVariables.root'
)
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# you might also like to uncomment the following, and read the help for the
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# convenient wrapper function:
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# print(help(ma.variablesToNtuple))
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# process the data
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basf2.process
(mypath)
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print(basf2.statistics)
basf2.process
def process(path, max_event=0)
Definition:
__init__.py:25
analysis
examples
VariableManager
variablesToNtuple.py
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