from RecoTauTag.TauAnalysisTools.fakeRate.makeHistograms import make_plots
from RecoTauTag.TauAnalysisTools.TriggerReport import TriggerReport
# Get our configuration
from RecoTauTag.TauAnalysisTools.fakeRate.histogramConfiguration import makeCuts
# Get the configuration parameters
from sources import denominator, sources
import glob
from optparse import OptionParser
parser = OptionParser()
parser.add_option('-n', '--njobs', help="Specify how many jobs to split the input into", type="int")
parser.add_option('-j', '--job', help="Specify the job index to run", type="int")
parser.add_option('-l', '--ls', help="Only print out the number of events", action='store_true')
parser.add_option('-s', '--source', help="Name of the ntuple source to use. Currently configured: %s" % sources.keys())
(options, args) = parser.parse_args()
def normalizeToOneInverseNanoBarn(xSection, nEvents, filterEff):
''' Return a normalization factor to one nb-1
xSection should be given in picobarns
L = nEvents/(xSection*filterEff)
'''
# in pb-1
uncorrectedLumi = float(nEvents)/(xSection*filterEff)
# pb-1 = 1e3 * nb-1
nbLumi = 1e-3*uncorrectedLumi
weight = 1.0/nbLumi
'--njobs',
help="Specify how many jobs to split the input into",
type="int")
parser.add_option('-j',
'--job',
help="Specify the job index to run",
type="int")
parser.add_option('-l',
'--ls',
help="Only print out the number of events",
action='store_true')
parser.add_option(
'-s',
'--source',
help="Name of the ntuple source to use. Currently configured: %s" %
sources.keys())
(options, args) = parser.parse_args()
def normalizeToOneInverseNanoBarn(xSection, nEvents, filterEff):
''' Return a normalization factor to one nb-1
xSection should be given in picobarns
L = nEvents/(xSection*filterEff)
'''
# in pb-1
uncorrectedLumi = float(nEvents) / (xSection * filterEff)
# pb-1 = 1e3 * nb-1
nbLumi = 1e-3 * uncorrectedLumi
#!/usr/bin/env python
'''
Script to submit histogram production to LXBatch
Author: Evan Friis
'''
import os
import string
import subprocess
from sources import sources
samples_to_submit = sources.keys()
cmssw_base = os.environ['CMSSW_BASE']
working_dir = os.path.join(cmssw_base, 'src/RecoTauTag/TauAnalysisTools/test/fakeRate')
job_template = string.Template('''
#!/bin/bash
cd $working_dir
eval `scram ru -sh`
./batch_histograms.py -n $maxJobs -j $jobID -s $sample
''')
jobs_per_sample=50
for sample in samples_to_submit:
for jobID in range(jobs_per_sample):