def wrapper(s):
c = cardFileWriter.cardFileWriter()
c.releaseLocation = releaseLocation71XC
counter = 0
c.reset()
c.addUncertainty('PU', 'lnN')
c.addUncertainty('topPt', 'lnN')
c.addUncertainty('JEC', 'lnN')
c.addUncertainty('JER', 'lnN')
c.addUncertainty('SFb', 'lnN')
c.addUncertainty('SFl', 'lnN')
c.addUncertainty('SFFS', 'lnN')
c.addUncertainty('leptonSF', 'lnN')
eSignal = MCBasedEstimate(name=s['name'],
sample={channel: s
for channel in allChannels},
cacheDir=setup.defaultCacheDir())
cardFileName = os.path.join(setup.analysisOutputDir, setup.prefix(),
'cardFiles', limitPrefix, s['name'] + '.txt')
if not os.path.exists(cardFileName) or overWrite:
for r in regions:
for channel in ['MuMu', 'EE', 'EMu']:
# for channel in ['all']:
niceName = ' '.join([channel, r.__str__()])
binname = 'Bin' + str(counter)
counter += 1
total_exp_bkg = 0
c.addBin(binname, [e.name for e in bkgEstimators], niceName)
for e in bkgEstimators:
expected = e.cachedEstimate(r, channel, setup)
total_exp_bkg += expected.val
c.specifyExpectation(binname, e.name, expected.val)
if expected.val > 0:
#PU bkg
c.specifyUncertainty(
'PU', binname, e.name,
1 + e.PUSystematic(r, channel, setup).val)
#JEC bkg
c.specifyUncertainty(
'JEC', binname, e.name,
1 + e.JECSystematic(r, channel, setup).val)
#JER bkg
c.specifyUncertainty(
'JER', binname, e.name,
1 + e.JERSystematic(r, channel, setup).val)
#topPt reweighting
c.specifyUncertainty(
'topPt', binname, e.name,
1 + e.topPtSystematic(r, channel, setup).val)
#b-tagging SF
c.specifyUncertainty(
'SFb', binname, e.name,
1 + e.btaggingSFbSystematic(r, channel, setup).val)
c.specifyUncertainty(
'SFl', binname, e.name,
1 + e.btaggingSFlSystematic(r, channel, setup).val)
#MC bkg stat (some condition to neglect the smaller ones?)
uname = 'Stat_' + binname + '_' + e.name
c.addUncertainty(uname, 'lnN')
c.specifyUncertainty('Stat_' + binname + '_' + e.name,
binname, e.name,
1 + expected.sigma / expected.val)
# assert total_exp_bkg>=0, "Total background is negative. Don't know what to do."
c.specifyObservation(binname, int(total_exp_bkg))
#signal
e = eSignal
signal = e.cachedEstimate(
r, channel,
setup.sysClone({'reweight': ['reweightLeptonFastSimSF']}))
c.specifyExpectation(binname, 'signal', signal.val)
if signal.val > 0:
#PU signal
c.specifyUncertainty(
'PU', binname, 'signal',
1 + e.PUSystematic(r, channel, setup).val)
#JEC signal
c.specifyUncertainty(
'JEC', binname, 'signal',
1 + e.JECSystematic(r, channel, setup).val)
#JER signal
c.specifyUncertainty(
'JER', binname, 'signal',
1 + e.JERSystematic(r, channel, setup).val)
#lepton FastSim SF uncertainty
c.specifyUncertainty(
'leptonSF', binname, 'signal',
1 + e.leptonFSSystematic(r, channel, setup).val)
#b-tagging SF (including FastSim SF)
c.specifyUncertainty(
'SFb', binname, 'signal',
1 + e.btaggingSFbSystematic(r, channel, setup).val)
c.specifyUncertainty(
'SFl', binname, 'signal',
1 + e.btaggingSFlSystematic(r, channel, setup).val)
c.specifyUncertainty(
'SFFS', binname, 'signal',
1 + e.btaggingSFFSSystematic(r, channel, setup).val)
#signal MC stat added in quadrature with PDF uncertainty: 10% uncorrelated
uname = 'Stat_' + binname + '_signal'
c.addUncertainty(uname, 'lnN')
c.specifyUncertainty(
uname, binname, 'signal',
1 + sqrt(0.1**2 + signal.sigma / signal.val))
if signal.val <= 0.01 and total_exp_bkg <= 0.01: # or (total_exp_bkg>300 and signal.val<0.05):
if verbose:
print "Muting bin %s. Total sig: %f, total bkg: %f" % (
binname, signal.val, total_exp_bkg)
c.muted[binname] = True
else:
if verbose:
print "NOT Muting bin %s. Total sig: %f, total bkg: %f" % (
binname, signal.val, total_exp_bkg)
#
c.addUncertainty('Lumi', 'lnN')
c.specifyFlatUncertainty('Lumi', 1.046)
cardFileName = c.writeToFile(cardFileName)
else:
print "File %s found. Reusing." % cardFileName
res = c.calcLimit(cardFileName)
mStop, mNeu = s['mStop'], s['mNeu']
try:
if res:
print "Result: mStop %i mNeu %i obs %5.3f exp %5.3f -1sigma %5.3f +1sigma %5.3f" % (
mStop, mNeu, res['-1.000'], res['0.500'], res['0.160'],
res['0.840'])
except:
print "Something wrong with the limit: %r" % res
return mStop, mNeu, res
try:
T2tt_exp.Fill(mStop, mNeu, res['0.500'])
except:
print "Something failed for mStop %i mNeu %i" % (mStop, mNeu)
try:
T2tt_exp_down.Fill(mStop, mNeu, res['0.160'])
except:
print "Something failed for mStop %i mNeu %i" % (mStop, mNeu)
try:
T2tt_exp_up.Fill(mStop, mNeu, res['0.840'])
except:
print "Something failed for mStop %i mNeu %i" % (mStop, mNeu)
try:
T2tt_obs.Fill(mStop, mNeu, res['-1.000'])
except:
print "Something failed for mStop %i mNeu %i" % (mStop, mNeu)
limitResultsFilename = os.path.join(
os.path.join(setup.analysisOutputDir, setup.prefix(), 'limits',
limitPrefix, 'T2tt_limitResults.root'))
if not os.path.exists(os.path.dirname(limitResultsFilename)):
os.makedirs(os.path.dirname(limitResultsFilename))
outfile = ROOT.TFile(limitResultsFilename, "recreate")
T2tt_exp.Write()
T2tt_exp_down.Write()
T2tt_exp_up.Write()
T2tt_obs.Write()
outfile.Close()
print "Written %s" % limitResultsFilename
]))
setup.prefixes.append('relIso04sm' + str(int(100 * options.relIso04)))
for e in bkgEstimators:
e.initCache(setup.defaultCacheDir())
from StopsDilepton.samples.cmgTuples_FastSimT2tt_mAODv2_25ns_postProcessed import *
from StopsDilepton.analysis.MCBasedEstimate import MCBasedEstimate
from StopsDilepton.analysis.u_float import u_float
from math import sqrt
##https://twiki.cern.ch/twiki/bin/viewauth/CMS/SUSYSignalSystematicsRun2
from StopsDilepton.tools.user import combineReleaseLocation
from StopsDilepton.tools.cardFileWriter import cardFileWriter
limitPrefix = options.regions
limitDir = os.path.join(setup.analysis_results, setup.prefix(), 'cardFiles',
limitPrefix)
overWrite = False
useCache = True
verbose = True
if not os.path.exists(limitDir): os.makedirs(limitDir)
cacheFileName = os.path.join(limitDir, 'calculatedLimits.pkl')
limitCache = Cache(cacheFileName, verbosity=2)
def wrapper(s):
c = cardFileWriter.cardFileWriter()
c.releaseLocation = combineReleaseLocation
cardFileName = os.path.join(limitDir, s.name + '.txt')
setup.prefixes.append("relIso04sm" + str(int(100 * options.relIso04)))
for e in bkgEstimators:
e.initCache(setup.defaultCacheDir())
from StopsDilepton.samples.cmgTuples_FastSimT2tt_mAODv2_25ns_postProcessed import *
from StopsDilepton.analysis.MCBasedEstimate import MCBasedEstimate
from StopsDilepton.analysis.u_float import u_float
from math import sqrt
##https://twiki.cern.ch/twiki/bin/viewauth/CMS/SUSYSignalSystematicsRun2
from StopsDilepton.tools.user import combineReleaseLocation
from StopsDilepton.tools.cardFileWriter import cardFileWriter
limitPrefix = options.regions
limitDir = os.path.join(setup.analysis_results, setup.prefix(), "cardFiles", limitPrefix)
overWrite = False
useCache = True
verbose = True
if not os.path.exists(limitDir):
os.makedirs(limitDir)
cacheFileName = os.path.join(limitDir, "calculatedLimits.pkl")
limitCache = Cache(cacheFileName, verbosity=2)
def wrapper(s):
c = cardFileWriter.cardFileWriter()
c.releaseLocation = combineReleaseLocation
cardFileName = os.path.join(limitDir, s.name + ".txt")
def wrapper(s):
c = cardFileWriter.cardFileWriter()
c.releaseLocation = releaseLocation71XC
counter=0
c.reset()
c.addUncertainty('PU', 'lnN')
c.addUncertainty('topPt', 'lnN')
c.addUncertainty('JEC', 'lnN')
c.addUncertainty('JER', 'lnN')
c.addUncertainty('SFb', 'lnN')
c.addUncertainty('SFl', 'lnN')
c.addUncertainty('SFFS', 'lnN')
c.addUncertainty('leptonSF', 'lnN')
eSignal = MCBasedEstimate(name=s['name'], sample={channel:s for channel in allChannels}, cacheDir=setup.defaultCacheDir() )
cardFileName = os.path.join(setup.analysisOutputDir, setup.prefix(), 'cardFiles', limitPrefix, s['name']+'.txt')
if not os.path.exists(cardFileName) or overWrite:
for r in regions:
for channel in ['MuMu', 'EE', 'EMu']:
# for channel in ['all']:
niceName = ' '.join([channel, r.__str__()])
binname = 'Bin'+str(counter)
counter += 1
total_exp_bkg = 0
c.addBin(binname, [e.name for e in bkgEstimators], niceName)
for e in bkgEstimators:
expected = e.cachedEstimate(r, channel, setup)
total_exp_bkg += expected.val
c.specifyExpectation(binname, e.name, expected.val )
if expected.val>0:
#PU bkg
c.specifyUncertainty('PU', binname, e.name, 1 + e.PUSystematic(r, channel, setup).val )
#JEC bkg
c.specifyUncertainty('JEC', binname, e.name, 1 + e.JECSystematic(r, channel, setup).val )
#JER bkg
c.specifyUncertainty('JER', binname, e.name, 1 + e.JERSystematic(r, channel, setup).val )
#topPt reweighting
c.specifyUncertainty('topPt', binname, e.name, 1 + e.topPtSystematic(r, channel, setup).val )
#b-tagging SF
c.specifyUncertainty('SFb', binname, e.name, 1 + e.btaggingSFbSystematic(r, channel, setup).val )
c.specifyUncertainty('SFl', binname, e.name, 1 + e.btaggingSFlSystematic(r, channel, setup).val )
#MC bkg stat (some condition to neglect the smaller ones?)
uname = 'Stat_'+binname+'_'+e.name
c.addUncertainty(uname, 'lnN')
c.specifyUncertainty('Stat_'+binname+'_'+e.name, binname, e.name, 1+expected.sigma/expected.val )
# assert total_exp_bkg>=0, "Total background is negative. Don't know what to do."
c.specifyObservation(binname, int(total_exp_bkg) )
#signal
e = eSignal
signal = e.cachedEstimate(r, channel, setup.sysClone({'reweight':['reweightLeptonFastSimSF']}))
c.specifyExpectation(binname, 'signal', signal.val )
if signal.val>0:
#PU signal
c.specifyUncertainty('PU', binname, 'signal', 1 + e.PUSystematic(r, channel, setup).val )
#JEC signal
c.specifyUncertainty('JEC', binname, 'signal', 1 + e.JECSystematic(r, channel, setup).val )
#JER signal
c.specifyUncertainty('JER', binname, 'signal', 1 + e.JERSystematic(r, channel, setup).val )
#lepton FastSim SF uncertainty
c.specifyUncertainty('leptonSF', binname, 'signal', 1 + e.leptonFSSystematic(r, channel, setup).val )
#b-tagging SF (including FastSim SF)
c.specifyUncertainty('SFb', binname, 'signal', 1 + e.btaggingSFbSystematic(r, channel, setup).val )
c.specifyUncertainty('SFl', binname, 'signal', 1 + e.btaggingSFlSystematic(r, channel, setup).val )
c.specifyUncertainty('SFFS', binname, 'signal', 1 + e.btaggingSFFSSystematic(r, channel, setup).val )
#signal MC stat added in quadrature with PDF uncertainty: 10% uncorrelated
uname = 'Stat_'+binname+'_signal'
c.addUncertainty(uname, 'lnN')
c.specifyUncertainty(uname, binname, 'signal', 1 + sqrt(0.1**2 + signal.sigma/signal.val) )
if signal.val<=0.01 and total_exp_bkg<=0.01:# or (total_exp_bkg>300 and signal.val<0.05):
if verbose: print "Muting bin %s. Total sig: %f, total bkg: %f"%(binname, signal.val, total_exp_bkg)
c.muted[binname] = True
else:
if verbose: print "NOT Muting bin %s. Total sig: %f, total bkg: %f"%(binname, signal.val, total_exp_bkg)
#
c.addUncertainty('Lumi', 'lnN')
c.specifyFlatUncertainty('Lumi', 1.046)
cardFileName = c.writeToFile(cardFileName)
else:
print "File %s found. Reusing."%cardFileName
res = c.calcLimit(cardFileName)
mStop, mNeu = s['mStop'], s['mNeu']
try:
if res: print "Result: mStop %i mNeu %i obs %5.3f exp %5.3f -1sigma %5.3f +1sigma %5.3f"%(mStop, mNeu, res['-1.000'], res['0.500'], res['0.160'], res['0.840'])
except:
print "Something wrong with the limit: %r"%res
return mStop, mNeu, res
for r in results:
mStop, mNeu, res = r
try:
T2tt_exp .Fill(mStop, mNeu, res['0.500'])
except:
print "Something failed for mStop %i mNeu %i"%(mStop, mNeu)
try:
T2tt_exp_down .Fill(mStop, mNeu, res['0.160'])
except:
print "Something failed for mStop %i mNeu %i"%(mStop, mNeu)
try:
T2tt_exp_up .Fill(mStop, mNeu, res['0.840'])
except:
print "Something failed for mStop %i mNeu %i"%(mStop, mNeu)
try:
T2tt_obs .Fill(mStop, mNeu, res['-1.000'])
except:
print "Something failed for mStop %i mNeu %i"%(mStop, mNeu)
limitResultsFilename = os.path.join(os.path.join(setup.analysisOutputDir, setup.prefix(), 'limits', limitPrefix,'T2tt_limitResults.root'))
if not os.path.exists(os.path.dirname(limitResultsFilename)):
os.makedirs(os.path.dirname(limitResultsFilename))
outfile = ROOT.TFile(limitResultsFilename, "recreate")
T2tt_exp .Write()
T2tt_exp_down .Write()
T2tt_exp_up .Write()
T2tt_obs .Write()
outfile.Close()
print "Written %s"%limitResultsFilename
