class MuonTypeLJEvents(object):
def __init__(self, files=None, type='MC', maxevents=-1):
if type.upper() not in ['MC', 'DATA']:
raise ValueError("Argument `type` need to be MC/DATA")
self.Type = type
self.MaxEvents = maxevents
if not files: raise ValueError("Argument `files` need to be non-empty")
if isinstance(files, str): files = [
files,
]
self.Chain = TreeChain('ffNtuplizer/ffNtuple', files)
## register collections ###
self.Chain.define_collection('pvs', prefix='pv_', size='pv_n')
self.Chain.define_collection('muons', prefix='muon_', size='muon_n')
self.Chain.define_collection('dsamuons',
prefix='dsamuon_',
size='dsamuon_n')
self.Chain.define_collection('ak4jets',
prefix='akjet_ak4PFJetsCHS_',
size='akjet_ak4PFJetsCHS_n')
self.Chain.define_collection('leptonjets',
prefix='pfjet_',
size='pfjet_n',
mix=LeptonJetMix)
self.Chain.define_collection('trigobjs',
prefix='trigobj_',
size='trigobj_n')
self.Chain.define_object('hlt', prefix='HLT_')
self.Chain.define_object('metfilters', prefix='metfilters_')
self.Chain.define_object('cosmicveto', prefix='cosmicveto_')
self.Histos = {}
self.LookupWeight = root_open(
os.path.join(
os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/puWeights_10x_56ifb.root')).Get(
'puWeights')
self.Scale = 1.
def bookHisto(self, name, hist):
self.Histos[name] = hist
def setScale(self, scale):
self.Scale = scale
def process(self):
for i, event in enumerate(self.Chain):
if self.MaxEvents > 0 and i > self.MaxEvents: break
## event-level mask ##
if not event.cosmicveto.result: continue
if not event.metfilters.PrimaryVertexFilter: continue
aux = {}
## event weight ##
aux['wgt'] = self.Scale
if self.Type == 'MC':
aux['wgt'] *= event.weight # gen weight
aux['wgt'] *= self.LookupWeight.GetBinContent(
self.LookupWeight.GetXaxis().FindBin(
event.trueInteractionNum)) ## pileup correction
leptonjets = [
lj for lj in event.leptonjets if lj.passSelection(event)
]
leptonjets.sort(key=lambda lj: lj.p4.pt(), reverse=True)
leptonjets = leptonjets[:2]
muontypeljs = [lj for lj in leptonjets if lj.isMuonType()]
egmtypeljs = [lj for lj in leptonjets if lj.isEgmType()]
# if not muontypeljs: continue
aux['muontype'] = muontypeljs
aux['egmtype'] = egmtypeljs
aux['leptonjets'] = leptonjets
looseMuonIdx, mediumMuonIdx = [], []
for i, mu in enumerate(event.muons):
if mu.p4.pt() < 5: continue
if abs(mu.p4.eta()) > 2.4: continue
if (mu.selectors & (1 << 0)) != (1 << 0): continue # ID-loose
if (mu.selectors & (1 << 7)) != (1 << 7): continue # Iso-loose
looseMuonIdx.append(i)
if (mu.selectors & (1 << 1)) != (1 << 1): continue # ID-medium
mediumMuonIdx.append(i)
if not mediumMuonIdx: continue
muonpairs = []
for m in mediumMuonIdx:
for l in looseMuonIdx:
if m == l: continue
if (l, m) in muonpairs: continue
muonpairs.append((m, l))
if not muonpairs: continue
aux['muonpairs'] = muonpairs
self.processEvent(event, aux)
def processEvent(self, event, aux):
"""To be override by daughter class"""
pass
@property
def histos(self):
return self.Histos
class Events(object):
def __init__(self,
files=None,
outname=None,
type='MC',
dtag='',
maxevents=-1,
channel=['4mu', '2mu2e'],
ctau=None,
chargedlj=False):
if type.upper() not in ['MC', 'DATA']:
raise ValueError("Argument `type` need to be MC/DATA")
self.OutName = outname
self.Type = type.upper()
self.ChargedLJ = chargedlj
self.MaxEvents = maxevents
self.Channel = channel
self.Dtag = dtag
self.Ctau = ctau
__signal_sample_param = dict(
[substr.split('-') for substr in self.Dtag.split('_')])
self.SignalParam = {
k.upper(): float(v.replace('p', '.'))
for k, v in __signal_sample_param.items()
}
if not files: raise ValueError("Argument `files` need to be non-empty")
if isinstance(files, str): files = [
files,
]
self.Chain = TreeChain('ffNtuplizer/ffNtuple', files)
### register collections ###
# self.Chain.define_collection('pvs', prefix='pv_', size='pv_n')
self.Chain.define_collection('electrons',
prefix='electron_',
size='electron_n')
self.Chain.define_collection('muons', prefix='muon_', size='muon_n')
self.Chain.define_collection('dsamuons',
prefix='dsamuon_',
size='dsamuon_n')
self.Chain.define_collection('photons',
prefix='photon_',
size='photon_n')
self.Chain.define_collection('ak4jets',
prefix='akjet_ak4PFJetsCHS_',
size='akjet_ak4PFJetsCHS_n')
self.Chain.define_collection('hftagscores',
prefix='hftagscore_',
size='hftagscore_n')
self.Chain.define_collection('leptonjets',
prefix='pfjet_',
size='pfjet_n',
mix=LeptonJetMix)
self.Chain.define_collection('ljsources',
prefix='ljsource_',
size='ljsource_n')
self.Chain.define_collection('cosmicmuons',
prefix='cosmicmuon_',
size='cosmicmuon_n')
self.Chain.define_collection('trigobjs',
prefix='trigobj_',
size='trigobj_n')
# self.Chain.define_collection('',)
self.Chain.define_object('hlt', prefix='HLT_')
self.Chain.define_object('metfilters', prefix='metfilters_')
self.Chain.define_object('cosmicveto', prefix='cosmicveto_')
self.Triggers = [
"DoubleL2Mu23NoVtx_2Cha",
"DoubleL2Mu23NoVtx_2Cha_NoL2Matched",
"DoubleL2Mu23NoVtx_2Cha_CosmicSeed",
"DoubleL2Mu23NoVtx_2Cha_CosmicSeed_NoL2Matched",
"DoubleL2Mu25NoVtx_2Cha_Eta2p4",
"DoubleL2Mu25NoVtx_2Cha_CosmicSeed_Eta2p4",
]
#self.addTRG = [
# "DoubleL2Mu23NoVtx_2Cha",]
self.Histos = {}
for chan in channel:
self.Histos['{}/cutflow'.format(chan)] = ROOT.Hist(
20, 0, 20, title='cutflow', drawstyle='hist')
self.KeepCutFlow = False
self.RawCutFlow = False
self.LookupWeight = root_open(
os.path.join(
os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/PUWeights_2018.root')).Get(
'puWeights')
self.LookupMuonSFLowpT = root_open(
os.path.join(os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/mu_Loose_pt7.root')).Get(
'ratio_syst')
self.LookupMuonSF = root_open(
os.path.join(os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/RunABCD_SF_ID.root')).Get(
'NUM_LooseID_DEN_TrackerMuons_pt_abseta_syst')
self.LookupElectronSF = root_open(
os.path.join(
os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/2018_ElectronLoose.root')).Get(
'EGamma_SF2D')
self.LookupPhotonSF = root_open(
os.path.join(
os.getenv('CMSSW_BASE'),
'src/FireROOT/Analysis/data/2018_PhotonsLoose.root')).Get(
'EGamma_SF2D')
self.Scale = 1.
def setTriggers(self, triggers):
self.Triggers = triggers
def addTrigger(self, trigger):
self.Triggers.append(trigger)
def bookHisto(self, name, hist):
self.Histos[name] = hist
def setScale(self, scale):
self.Scale = scale
def process(self):
for i, event in enumerate(self.Chain):
if self.MaxEvents > 0 and i > self.MaxEvents: break
## event weight ##
aux = {}
aux['wgt'] = self.Scale
if self.Type == 'MC':
aux['wgt'] *= event.weight # gen weight
aux['wgt'] *= self.LookupWeight.GetBinContent(
self.LookupWeight.GetXaxis().FindBin(
event.trueInteractionNum)) ## pileup correction
for ch in self.Channel:
if self.RawCutFlow:
self.Histos['{}/cutflow'.format(ch)].Fill(0)
else:
self.Histos['{}/cutflow'.format(ch)].Fill(0, aux['wgt'])
## trigger ##
#if not any([getattr(event.hlt, t) for t in self.Triggers]): continue
#if not any([getattr(event.hlt, t) for t in self.addTRG]): continue
for ch in self.Channel:
if self.RawCutFlow:
self.Histos['{}/cutflow'.format(ch)].Fill(1)
else:
self.Histos['{}/cutflow'.format(ch)].Fill(1, aux['wgt'])
## 2 leptonjets in channel definition ##
leptonjets = [lj for lj in event.leptonjets]
if len(leptonjets) < 2: continue
#print len(leptonjets)#js
#LJ2 = none
leptonjets.sort(key=lambda lj: lj.p4.pt(), reverse=True)
LJ0 = leptonjets[0]
LJ1 = leptonjets[1]
#LJ2 = leptonjets[2]
#if len(event.leptonjets)>2:#
#LJ2 = leptonjets[2]#
#aux['lj2'] = LJ2
if self.ChargedLJ:
if not LJ0.passChargedSelection(event): continue
if not LJ1.passChargedSelection(event): continue
#if not LJ2.passChargedSelection(event): continue
else:
if not LJ0.passSelection(event): continue
if not LJ1.passSelection(event): continue
#if not LJ2.passSelection(event): continue
if LJ0.isMuonType() and LJ1.isMuonType(): aux['channel'] = '4mu'
elif LJ0.isMuonType() and LJ1.isEgmType(): aux['channel'] = '2mu2e'
elif LJ0.isEgmType() and LJ1.isMuonType(): aux['channel'] = '2mu2e'
else: continue
aux['lj0'] = LJ0
aux['lj1'] = LJ1
#aux['lj2'] = LJ2
if self.Type == 'MC':
aux['sf_electron'] = 1.
aux['sf_electron_up'] = 1.
aux['sf_electron_low'] = 1.
aux['sf_photon'] = 1.
aux['sf_photon_up'] = 1.
aux['sf_photon_low'] = 1.
aux['sf_pfmuon'] = 1.
aux['sf_pfmuon_up'] = 1.
aux['sf_pfmuon_low'] = 1.
for lj in [LJ0, LJ1]:
## muon scale factor
for i in lj.pfcand_pfmuonIdx:
_pfmu_p4 = event.muons[i].p4
pt, eta = _pfmu_p4.pt(), _pfmu_p4.eta()
if pt >= 20:
xbin = self.LookupMuonSF.xaxis.FindBin(pt)
xbin = min(max(xbin, 1),
self.LookupMuonSF.nbins(0))
ybin = self.LookupMuonSF.yaxis.FindBin(abs(eta))
sf = self.LookupMuonSF.GetBinContent(xbin, ybin)
err_up = self.LookupMuonSF.GetBinErrorUp(
xbin, ybin)
err_lo = self.LookupMuonSF.GetBinErrorLow(
xbin, ybin)
else:
for i in range(self.LookupMuonSFLowpT.num_points):
x = self.LookupMuonSFLowpT.x(i)
xh = x + self.LookupMuonSFLowpT.xerrh(i)
xl = x - self.LookupMuonSFLowpT.xerrl(i)
if xl <= eta and eta <= xh:
sf = self.LookupMuonSFLowpT.y(i)
err_up = self.LookupMuonSFLowpT.yerrh(i)
err_lo = self.LookupMuonSFLowpT.yerrl(i)
break
aux['wgt'] *= sf
aux['sf_pfmuon'] *= sf
aux['sf_pfmuon_up'] *= sf + err_up
aux['sf_pfmuon_low'] *= sf - err_lo
## NOTE DSA scale factor, nothing for now
for i in lj.pfcand_dsamuonIdx:
#print dsamu.pt.P4()
sf = 1.
aux['wgt'] *= sf
## electron scale factor
for i in lj.pfcand_electronIdx:
_electron = event.electrons[i]
xbin = self.LookupElectronSF.xaxis.FindBin(
_electron.scEta)
ybin = self.LookupElectronSF.xaxis.FindBin(
_electron.p4.pt())
ybin = min(max(ybin, 1),
self.LookupElectronSF.nbins(1))
sf = self.LookupElectronSF.GetBinContent(xbin, ybin)
aux['wgt'] *= sf
aux['sf_electron'] *= sf
aux['sf_electron_up'] *= sf + self.LookupElectronSF.GetBinErrorUp(
xbin, ybin)
aux['sf_electron_low'] *= sf - self.LookupElectronSF.GetBinErrorLow(
xbin, ybin)
## photon scale factor
for i in lj.pfcand_photonIdx:
_photon = event.photons[i]
xbin = self.LookupPhotonSF.xaxis.FindBin(_photon.scEta)
ybin = self.LookupPhotonSF.xaxis.FindBin(
_photon.p4.pt())
ybin = min(max(ybin, 1), self.LookupPhotonSF.nbins(1))
sf = self.LookupPhotonSF.GetBinContent(xbin, ybin)
aux['wgt'] *= sf
aux['sf_photon'] *= sf
aux['sf_photon_up'] *= sf + self.LookupPhotonSF.GetBinErrorUp(
xbin, ybin)
aux['sf_photon_low'] *= sf - self.LookupPhotonSF.GetBinErrorLow(
xbin, ybin)
aux['wgt_electron_up'] = aux['wgt'] / aux['sf_electron'] * aux[
'sf_electron_up']
aux['wgt_electron_low'] = aux['wgt'] / aux[
'sf_electron'] * aux['sf_electron_low']
aux['wgt_photon_up'] = aux['wgt'] / aux['sf_photon'] * aux[
'sf_photon_up']
aux['wgt_photon_low'] = aux['wgt'] / aux['sf_photon'] * aux[
'sf_photon_low']
aux['wgt_pfmuon_up'] = aux['wgt'] / aux['sf_pfmuon'] * aux[
'sf_pfmuon_up']
aux['wgt_pfmuon_low'] = aux['wgt'] / aux['sf_pfmuon'] * aux[
'sf_pfmuon_low']
# for t, pt, eta in zip(list(lj.pfcand_type), list(lj.pfcand_pt), list(lj.pfcand_eta)):
# ## muon scale factor, DSA same as muon for now
# if t==3 or t==8:
# xbin = self.LookupMuonSF.xaxis.FindBin(pt)
# xbin = min(max(xbin, 1), self.LookupMuonSF.nbins(0))
# ybin = self.LookupMuonSF.yaxis.FindBin(abs(eta))
# sf = self.LookupMuonSF.GetBinContent(xbin, ybin)
# aux['wgt'] *= sf
# ## electron scale factor, using eta instead of SC eta for now
# if t==2:
# xbin = self.LookupElectronSF.xaxis.FindBin(eta)
# ybin = self.LookupElectronSF.xaxis.FindBin(pt)
# ybin = min(max(ybin, 1), self.LookupElectronSF.nbins(1))
# sf = self.LookupElectronSF.GetBinContent(xbin, ybin)
# aux['wgt'] *= sf
# ## photon scale factor, using eta instead of SC eta for now
# if t==4:
# xbin = self.LookupPhotonSF.xaxis.FindBin(eta)
# ybin = self.LookupPhotonSF.xaxis.FindBin(pt)
# ybin = min(max(ybin, 1), self.LookupPhotonSF.nbins(1))
# sf = self.LookupPhotonSF.GetBinContent(xbin, ybin)
# aux['wgt'] *= sf
for ch in self.Channel:
if self.RawCutFlow:
self.Histos['{}/cutflow'.format(ch)].Fill(2)
else:
self.Histos['{}/cutflow'.format(ch)].Fill(2, aux['wgt'])
## event-level mask ##
if not event.metfilters.PrimaryVertexFilter: continue
for ch in self.Channel:
if self.RawCutFlow:
self.Histos['{}/cutflow'.format(ch)].Fill(3)
else:
self.Histos['{}/cutflow'.format(ch)].Fill(3, aux['wgt'])
nppCOSMIC, cosmicShowerTagged = globalCosmicShower(
event.cosmicmuons, aux['channel'])
if cosmicShowerTagged: continue
for ch in self.Channel:
if self.RawCutFlow:
self.Histos['{}/cutflow'.format(ch)].Fill(4)
else:
self.Histos['{}/cutflow'.format(ch)].Fill(4, aux['wgt'])
self.processEvent(event, aux)
def processEvent(self, event, aux):
"""To be override by daughter class"""
pass
def postProcess(self):
if self.KeepCutFlow:
labels = [
'total', 'trigger_pass', 'leptonjet_ge2', 'pv_good',
'cosmicveto_pass'
]
for ch in self.Channel:
xaxis = self.Histos['{}/cutflow'.format(ch)].axis(0)
for i, s in enumerate(labels, start=1):
xaxis.SetBinLabel(i, s)
# binNum., labAngel, labSize, labAlign, labColor, labFont, labText
xaxis.ChangeLabel(i, 315, -1, 11, -1, -1, s)
else:
for ch in self.Channel:
self.Histos.pop('{}/cutflow'.format(ch))
@property
def histos(self):
return self.Histos
@property
def channel(self):
return self.Channel
