anaTrkEff_2016_cfg.py

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import HpstrConf
import sys
import os
import baseConfig
 
(options,args) = baseConfig.parser.parse_args()
 
 
# Use the input file to set the output file name
infile = options.inFilename
outfile = options.outFilename
 
print 'Input file: %s' % infile
print 'Output file: %s' % outfile
 
p = HpstrConf.Process()
 
p.run_mode = 1
#p.max_events = 1000
 
# Library containing processors
p.add_library("libprocessors")
 
 
 
vtxana = HpstrConf.Processor('vtxana', 'TrackEfficiencyProcessor')
 
 
vtxana.parameters["debug"] = 1
vtxana.parameters["anaName"] = "vtxana"
vtxana.parameters["trkColl"] = "GBLTracks"
vtxana.parameters["cluColl"] = "RecoEcalClusters"
vtxana.parameters["fspartColl"] = "FinalStateParticles"
vtxana.parameters["cluSelectionjson"] = os.environ['HPSTR_BASE']+'/analysis/selections/clusterSelection-2016.json'
vtxana.parameters["histoCfg"] = os.environ['HPSTR_BASE']+"/analysis/plotconfigs/trkeff/trkEffPlotConfig-2.3gev.json"
vtxana.parameters["cluHistoCfg"] = os.environ['HPSTR_BASE']+"/analysis/plotconfigs/trkeff/trkEffPreSelPlotConfig-2.3gev.json"
vtxana.parameters["beamE"] = 2.3
vtxana.parameters["isData"] = options.isData
CalTimeOffset=-999
 
if (options.isData==1):
    CalTimeOffset=56.
    print "Running on data file: Setting CalTimeOffset %d"  % CalTimeOffset
    
elif (options.isData==0):
    CalTimeOffset=43.
    print "Running on MC file: Setting CalTimeOffset %d"  % CalTimeOffset
else:
    print "Specify which type of ntuple you are running on: -t 1 [for Data] / -t 0 [for MC]"
 
 
vtxana.parameters["CalTimeOffset"]=CalTimeOffset
 
#Region definitions
 
RegionPath=os.environ['HPSTR_BASE']+"/analysis/selections/"
vtxana.parameters["regionDefinitions"] = [RegionPath+'trkEffFiducial.json',RegionPath+'trkEffAllECal.json']
 
# Sequence which the processors will run.
p.sequence = [vtxana]
 
p.input_files=[infile]
p.output_files = [outfile]
 
p.printProcess()