def scaleFiles(inFileName, lumi):
"""docstring for scaleQCD"""
if os.path.exists(inFileName + '_Scaled.root'):
os.remove(inFileName + '_Scaled.root')
outfile = TFile(inFileName + '_Scaled.root', "RECREATE")
else:
outfile = TFile(inFileName + '_Scaled.root', "RECREATE")
infile = TFile(inFileName + '.root', "READ")
scale = lumi * scaleFactor(inFileName)
listDir = []
for k in infile.GetListOfKeys():
name = k.GetName()
listDir.append(name)
for j in listDir:
if not 'RUNATree' in j:
outfile.mkdir(j)
outfile.cd(j)
dir = infile.GetDirectory(j)
for q in dir.GetListOfKeys():
name = q.GetName()
h = infile.Get(j + '/' + name)
try:
hOut = h.Clone()
#hOut.Scale( scale )
if not isinstance(h, TTree):
hOut.Scale(scale)
hOut.Write()
except AttributeError:
pass
outfile.cd('/')
outfile.Write()
outfile.Close()
infile.Close()
def scaleFiles( inFileName, lumi ):
"""docstring for scaleQCD"""
if os.path.exists(inFileName+'_Scaled.root'):
os.remove(inFileName+'_Scaled.root')
outfile = TFile( inFileName+'_Scaled.root', "RECREATE")
else: outfile = TFile( inFileName+'_Scaled.root', "RECREATE")
infile = TFile( inFileName+'.root', "READ")
scale = lumi * scaleFactor(inFileName)
listDir = []
for k in infile.GetListOfKeys():
name = k.GetName()
listDir.append( name )
for j in listDir:
if not 'RUNATree' in j:
outfile.mkdir(j)
outfile.cd(j)
dir = infile.GetDirectory(j)
for q in dir.GetListOfKeys():
name = q.GetName()
h = infile.Get( j+'/'+name)
try:
hOut = h.Clone()
#hOut.Scale( scale )
if not isinstance(h,TTree):
hOut.Scale( scale )
hOut.Write()
except AttributeError:
pass
outfile.cd('/')
outfile.Write()
outfile.Close()
infile.Close()
'/store/user/algomez/QCD_Pt_800to1000_TuneCUETP8M1_13TeV_pythia8/RunIISpring15DR74_RUNA_Asympt25ns_v03/150911_073406/0000/RUNtuples_102.root',
#'/store/user/algomez/RPVSt100tojj_13TeV_pythia8/RunIISpring15DR74_RUNA_Asympt25ns__v02/150719_102556/0000/RUNtuples_11.root'
#'/store/user/algomez/RPVSt100tojj_13TeV_pythia8/RunIISpring15DR74_RUNA_Asympt25ns__v02/150719_170508/0000/RUNtuples_101.root',
#'file:RUNtuple_1.root'
)
)
#process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32 (options.maxEvents) )
if 'bj' in NAME: bjsample = True
else: bjsample = False
Lumi = 15.47
from RUNA.RUNAnalysis.scaleFactors import scaleFactor
SF = scaleFactor(NAME)
if 'JetHT' in NAME:
sf = 1
HTtrigger = 'HLT_PFHT900'
else:
sf = SF*Lumi
HTtrigger = 'HLT_PFHT800'
process.TFileService=cms.Service("TFileService",fileName=cms.string( 'RUNFullAnalysis_'+NAME+'.root' ) )
process.AnalysisPlots = cms.EDAnalyzer('RUNAnalysis',
scale = cms.double( sf ),
cutHT = cms.double( options.HT ),
cutMassRes = cms.double( options.MassRes ),
cutDelta = cms.double( options.Delta ),
#'/store/user/jkarancs/SusyAnalysis/B2GEdmNtuple/QCD_HT1000to1500_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/B2GAnaFW_76X_V1p1_RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/160401_100723/0000/B2GEDMNtuple_1.root',
))
process.maxEvents = cms.untracked.PSet(
input=cms.untracked.int32(options.maxEvents))
from RUNA.RUNAnalysis.scaleFactors import scaleFactor
bjsample = True if 'bj' in NAME else False
if 'JetHT' in NAME:
SF = 1
isData = True
options.systematics = False
else:
isData = False
SF = scaleFactor(NAME)
process.ResolvedAnalysisPlots = cms.EDAnalyzer(
'RUNAnalysis',
cutMassAsym=cms.double(options.MassRes),
cutDelta=cms.double(options.Delta),
cutDeltaR=cms.double(options.DeltaR),
cutCosThetaStar=cms.double(options.ResolvedCosThetaStar),
cutDEta=cms.double(options.EtaBand),
triggerPass=cms.vstring(['HLT_PFHT800', 'HLT_PFHT750_4JetPt']),
bjSample=cms.bool(bjsample),
scale=cms.double(SF),
dataPUFile=cms.string(options.namePUFile),
jecVersion=cms.string(options.jecVersion),
isData=cms.bool(isData),
### temporary
