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sampleWrapperClass.py
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sampleWrapperClass.py
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# A class which takes histograms and plots them in a versatile way
# inputs are file names which can be "data" or "MC"
import ROOT
import os
import sys
import math
from array import array
from optparse import OptionParser
from ROOT import RooTrace
from ROOT import TTree
from ROOT import gROOT
from bsmReweighter import *
import sys
from DataFormats.FWLite import Events, Handle
ROOT.gStyle.SetPalette(1)
ROOT.gStyle.SetOptFit(0)
ROOT.TH1.SetDefaultSumw2()
ROOT.TH2.SetDefaultSumw2()
ROOT.gStyle.SetPadTopMargin(0.09);
ROOT.gStyle.SetPadLeftMargin(0.16);
# FWLITE stuff
ROOT.gSystem.Load('libCondFormatsJetMETObjects')
ROOT.gSystem.Load('libFWCoreFWLite');
ROOT.gSystem.Load('libFWCoreUtilities');
### ------------ h e l p e r s --------------------
def getListRMS(list):
mean = sum(list)/float(len(list));
return math.sqrt(sum((n-mean)*(n-mean) for n in list)/len(list));
def getListMean(list):
return sum(list)/float(len(list));
### ----------- class implementation -----------
class sampleWrapperClass:
### ------------------------------------------------
def __init__(self, label, file, channel, sampleEffLumi, lumi, treename, isData,outputfiledirectory):
self.IsData_ = isData; ### flag when running on data
self.FileName_ = file; ### input file name
self.File_ = ROOT.TFile(file); ## get the root file
self.InputTree_ = self.File_.Get(treename); ## get the input tree
self.SampleWeight_ = lumi/sampleEffLumi; ## take the lumi re-weight factor
self.JetPrefix_ = "GroomedJet_CA8";
self.Label_ = label;
self.Channel_ = channel
self.OFileName_ = outputfiledirectory+"trainingtrees_"+channel+"/ofile_"+label+".root";
# initialization for doing BSM reweighting
self.SignalMass_ = -1;
if file.find("HWW") > 0 and file.find("600") > 0: self.SignalMass_ = 600;
if file.find("HWW") > 0 and file.find("700") > 0: self.SignalMass_ = 700;
if file.find("HWW") > 0 and file.find("800") > 0: self.SignalMass_ = 800;
if file.find("HWW") > 0 and file.find("900") > 0: self.SignalMass_ = 900;
if file.find("HWW") > 0 and file.find("1000") > 0: self.SignalMass_ = 1000;
self.FitSMSignal = False;
self.FitSMSignal_mean = -1;
self.FitSMSignal_gamma = -1;
self.isVBF_ = False;
if file.find("VBF") > 0: self.isVBF_ = True;
###### reweight file
if self.SignalMass_ > 0:
self.rwName = "H_CPSrw_%03d"%(self.SignalMass_);
self.rwF = ROOT.TFile("CPSrw/"+self.rwName+".root");
self.h_rwCPS = self.rwF.Get(self.rwName);
self.x_rwCPS = self.h_rwCPS.GetXaxis();
# ---------- Set up jet corrections on the fly of R >= 0.7 jets
fDir = "JECs/"
jecUncStr = ROOT.std.string(fDir + "GR_R_53_V10_Uncertainty_AK7PFchs.txt")
self.jecUnc_ = ROOT.JetCorrectionUncertainty(jecUncStr)
jecUncStrAK5 = ROOT.std.string(fDir + "GR_R_53_V10_Uncertainty_AK5PFchs.txt")
self.jecUncAK5_ = ROOT.JetCorrectionUncertainty(jecUncStr)
def getLabel(self):
return self.Label_
def getTrainingTreeName(self):
return self.OFileName_
def getSampleLabel(self):
return self.Label_
def createTrainingTree(self):
print self.FileName_
self.NTree_ = self.InputTree_.GetEntries();
print "Turning off branches...", self.FileName_
self.InputTree_.SetBranchStatus("vbf*Charged*",0);
self.InputTree_.SetBranchStatus("vbf*Neutral*",0);
self.InputTree_.SetBranchStatus("vbf*Neutral*",0);
self.InputTree_.SetBranchStatus("vbf*Photon*",0);
self.InputTree_.SetBranchStatus("vbf*Electron*",0);
self.InputTree_.SetBranchStatus("vbf*HF*",0);
self.InputTree_.SetBranchStatus("JetPFCor*Charged*",0);
self.InputTree_.SetBranchStatus("JetPFCor*Neutral*",0);
self.InputTree_.SetBranchStatus("JetPFCor*Neutral*",0);
self.InputTree_.SetBranchStatus("JetPFCor*Electron*",0);
self.InputTree_.SetBranchStatus("JetPFCor*HF*",0);
self.InputTree_.SetBranchStatus("Hadronic*",0);
self.InputTree_.SetBranchStatus("boosted*ang*",0);
self.InputTree_.SetBranchStatus("fit_*",0);
self.InputTree_.SetBranchStatus("W_tb*",0);
self.InputTree_.SetBranchStatus("W_Parton*",0);
self.InputTree_.SetBranchStatus("JetGen*",0);
print "Initializing sample: ", self.FileName_
print "Nentries = ", self.NTree_
# fill histograms
self.createBRDTree();
self.File_.Close();
### produce weights for alternative models
def GetInteferenceWeights(self, mass, Cprime, BRnew=0):
massin = self.SignalMass_;
if massin < 0: return;
massmin = {600:200,700:200,800:400,900:400,1000:400};
massmax = {600:1200,700:1200,800:1500,900:1600,1000:1800};
# read in original file and get lineshape from fit
if not self.FitSMSignal:
fitSM = FitMassPoint(self.FileName_, massin, massmin[massin], massmax[massin]);
self.FitSMSignal_mean = fitSM[0];
self.FitSMSignal_gamma = fitSM[1];
self.FitSMSignal = True;
# create a weight for the given event after switch is turned
weight_width = lineshapeWidthReweight(mass, self.FitSMSignal_mean, self.FitSMSignal_gamma, Cprime/(1.-BRnew), massmin[massin], massmax[massin]);
weight_xs = Cprime*(1-BRnew);
return (weight_width*weight_xs);
### ------------------------------------------------
def createBRDTree(self):
reader1_ = ROOT.TMVA.Reader("!Color:!Silent")
reader2_ = ROOT.TMVA.Reader("!Color:!Silent")
ungroomed_reader1_ = ROOT.TMVA.Reader("!Color:!Silent")
ungroomed_reader2_ = ROOT.TMVA.Reader("!Color:!Silent")
fname = self.OFileName_;
self.OFile_ = ROOT.TFile(fname,"RECREATE");
self.otree = ROOT.TTree("otree","otree");
########## Initialize Variables
self.InitializeVariables();
########## bsm branches for ewk signlet
self.cprimeVals = [1,2,3,4,5,6,7,8,9,10] ;
self.brnewVals = [00, 01, 02, 03, 04, 05] ;
self.bsmReweights = [];
for i in range(len(self.cprimeVals)):
col_bsmReweights = [];
for j in range(len(self.brnewVals)):
col_bsmReweights.append( array( 'f', [ 0. ] ) );
self.bsmReweights.append( col_bsmReweights );
########## Create Output branches
self.createBranches();
###### loop preparation
prefix = self.JetPrefix_;
NLoop = min(self.NTree_,1e9);
NLoopWeight = self.NTree_/NLoop;
wSampleWeight = NLoopWeight*self.SampleWeight_;
wjettaggervariables = []
wjettaggervariables.append("jet_qjetvol")
wjettaggervariables.append("jet_tau2tau1")
listOfVarArray1 = []
listOfVarArray2 = []
for i in range(len(wjettaggervariables)):
listOfVarArray1.append( array('f',[0.]) )
listOfVarArray2.append( array('f',[0.]) )
varString = wjettaggervariables[i] + " := " + wjettaggervariables[i]
reader1_.AddVariable(varString, listOfVarArray1[i])
reader2_.AddVariable(varString, listOfVarArray2[i])
ungroomed_reader1_.AddVariable(varString, listOfVarArray1[i])
ungroomed_reader2_.AddVariable(varString, listOfVarArray2[i])
spec11 = array('f',[0.])
spec12 = array('f',[0.])
spec13 = array('f',[0.])
spec14 = array('f',[0.])
spec21 = array('f',[0.])
spec22 = array('f',[0.])
spec23 = array('f',[0.])
spec24 = array('f',[0.])
ungroomed_spec11 = array('f',[0.])
ungroomed_spec12 = array('f',[0.])
ungroomed_spec13 = array('f',[0.])
ungroomed_spec14 = array('f',[0.])
ungroomed_spec21 = array('f',[0.])
ungroomed_spec22 = array('f',[0.])
ungroomed_spec23 = array('f',[0.])
ungroomed_spec24 = array('f',[0.])
reader1_.AddSpectator( "jet_pt_pr", spec11 )
reader1_.AddSpectator( "jet_mass_pr", spec12 )
reader1_.AddSpectator( "nPV", spec13 )
reader1_.AddSpectator( "jet_massdrop_pr", spec14 )
reader2_.AddSpectator( "jet_pt_pr", spec21 )
reader2_.AddSpectator( "jet_mass_pr", spec22 )
reader2_.AddSpectator( "nPV", spec23 )
reader2_.AddSpectator( "jet_massdrop_pr", spec24 )
ungroomed_reader1_.AddSpectator( "ungroomed_jet_pt", ungroomed_spec11 )
ungroomed_reader1_.AddSpectator( "jet_mass_pr", ungroomed_spec12 )
ungroomed_reader1_.AddSpectator( "nPV", ungroomed_spec13 )
ungroomed_reader1_.AddSpectator( "jet_massdrop_pr", ungroomed_spec14 )
ungroomed_reader2_.AddSpectator( "ungroomed_jet_pt", ungroomed_spec21 )
ungroomed_reader2_.AddSpectator( "jet_mass_pr", ungroomed_spec22 )
ungroomed_reader2_.AddSpectator( "nPV", ungroomed_spec23 )
ungroomed_reader2_.AddSpectator( "jet_massdrop_pr", ungroomed_spec24 )
TMVAMethod = "Likelihood"
RooTrace.active(ROOT.kTRUE);
RooTrace.mark();
################################################
########## Start Loop On the Evvents ###########
################################################
for i in range(NLoop) :
if i % 100000 == 0: print "iEvent = ", i
self.InputTree_.GetEntry(i);
########## Fill TTbar Control Region Info
ttbarlike = 0;
if self.Channel_ == 'mu': lepLabel = "muon";
if self.Channel_ == 'el': lepLabel = "electron";
index_ca8_in_oppoHemi = [];
for i in range(6):
if getattr( self.InputTree_, "GroomedJet_CA8_pt" )[i] > 200 and math.fabs(getattr( self.InputTree_, "GroomedJet_CA8_eta" )[i])<2.4:
j_ca8_eta = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[i];
j_ca8_phi = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[i];
l_eta = getattr( self.InputTree_, "W_"+lepLabel+"_eta" );
l_phi = getattr( self.InputTree_, "W_"+lepLabel+"_phi" );
l_charge = getattr( self.InputTree_, "W_"+lepLabel+"_charge" );
dR_lj = math.sqrt( (l_eta - j_ca8_eta)**2 + (l_phi - j_ca8_phi)**2 ); ## delta R between lepton and hadronic W candidate over 200 GeV
if dR_lj > ROOT.TMath.Pi()/2.: index_ca8_in_oppoHemi.append(i); ## opposite hemishpere
minMass = -1;
theca8Index = -1;
for i in range(len(index_ca8_in_oppoHemi)):
curmass = getattr( self.InputTree_, "GroomedJet_CA8_mass_pr" )[index_ca8_in_oppoHemi[i]]; ## search for the jet with mass closer to the W
if math.fabs(curmass-80.385) < math.fabs(minMass-80.385):
minMass = curmass;
theca8Index = index_ca8_in_oppoHemi[i];
index_ak5_in_sameHemi = [];
index_ak5_in_oppoHemi = [];
index_ak5_in_sameHemi_vetoca8 = [];
index_ak5_in_oppoHemi_vetoca8 = [];
index_ak5_in_sameHemi_csvl = [];
index_ak5_in_oppoHemi_csvl = [];
index_ak5_in_sameHemi_vetoca8_csvl = [];
index_ak5_in_oppoHemi_vetoca8_csvl = [];
index_ak5_in_sameHemi_csvm = [];
index_ak5_in_oppoHemi_csvm = [];
index_ak5_in_sameHemi_vetoca8_csvm = [];
index_ak5_in_oppoHemi_vetoca8_csvm = [];
index_ak5_in_sameHemi_csvt = [];
index_ak5_in_oppoHemi_csvt = [];
index_ak5_in_sameHemi_vetoca8_csvt = [];
index_ak5_in_oppoHemi_vetoca8_csvt = [];
ttb_ht = getattr( self.InputTree_, "W_"+lepLabel+"_pt" );
ttb_ht += getattr( self.InputTree_, "event_met_pfmet" );
if theca8Index >= 0: ## if a W candidate is found
for i in range(6):
if getattr( self.InputTree_, "JetPFCor_Pt" )[i] < 0 : break ;
if getattr( self.InputTree_, "JetPFCor_Pt" )[i] > 30: ## loop on the ak5 with pt > 30 only central jets
ttb_ht += getattr( self.InputTree_, "JetPFCor_Pt" )[i];
j_ca8_eta = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[theca8Index];
j_ca8_phi = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[theca8Index];
j_ak5_eta = getattr( self.InputTree_, "JetPFCor_Eta" )[i];
j_ak5_phi = getattr( self.InputTree_, "JetPFCor_Phi" )[i];
l_eta = getattr( self.InputTree_, "W_"+lepLabel+"_eta" );
l_phi = getattr( self.InputTree_, "W_"+lepLabel+"_phi" );
dR_jj = math.sqrt( (j_ak5_eta - j_ca8_eta)**2 + (j_ak5_phi - j_ca8_phi)**2 ); ## delta R jet jet
dR_lj = math.sqrt( (l_eta - j_ak5_eta)**2 + (l_phi - j_ak5_phi)**2 ); ## delta R jet lep
if dR_lj < ROOT.TMath.Pi()/2. : ## same hemisphere wrt to jet and cleaned wrt to the fat jet
index_ak5_in_sameHemi.append( i );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_sameHemi_csvl.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_sameHemi_csvm.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_sameHemi_csvt.append(i);
elif dR_lj > ROOT.TMath.Pi()/2. :
index_ak5_in_oppoHemi.append( i );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_oppoHemi_csvl.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_oppoHemi_csvm.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_oppoHemi_csvt.append(i);
if dR_lj > ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_oppoHemi_vetoca8.append( i );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_oppoHemi_vetoca8_csvl.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_oppoHemi_vetoca8_csvm.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_oppoHemi_vetoca8_csvt.append(i);
elif dR_lj < ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_sameHemi_vetoca8.append( i );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_sameHemi_vetoca8_csvl.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_sameHemi_vetoca8_csvm.append(i);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_sameHemi_vetoca8_csvt.append(i);
for i in range(6):
if getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[i] < 0 : break ;
if getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[i] > 30: ## loop on the ak5 with pt > 30 only central jets
ttb_ht += getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[i];
j_ca8_eta = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[theca8Index];
j_ca8_phi = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[theca8Index];
j_ak5_eta = getattr( self.InputTree_, "JetPFCorVBFTag_Eta" )[i];
j_ak5_phi = getattr( self.InputTree_, "JetPFCorVBFTag_Phi" )[i];
l_eta = getattr( self.InputTree_, "W_"+lepLabel+"_eta" );
l_phi = getattr( self.InputTree_, "W_"+lepLabel+"_phi" );
dR_jj = math.sqrt( (j_ak5_eta - j_ca8_eta)**2 + (j_ak5_phi - j_ca8_phi)**2 ); ## delta R jet jet
dR_lj = math.sqrt( (l_eta - j_ak5_eta)**2 + (l_phi - j_ak5_phi)**2 ); ## delta R jet lep
if dR_lj < ROOT.TMath.Pi()/2. : ## same hemisphere wrt to jet and cleaned wrt to the fat jet
index_ak5_in_sameHemi.append( i );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_sameHemi_csvl.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_sameHemi_csvm.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_sameHemi_csvt.append(i);
elif dR_lj > ROOT.TMath.Pi()/2. :
index_ak5_in_oppoHemi.append( i );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_oppoHemi_csvl.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_oppoHemi_csvm.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_oppoHemi_csvt.append(i);
if dR_lj > ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_oppoHemi_vetoca8.append( i );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_oppoHemi_vetoca8_csvl.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_oppoHemi_vetoca8_csvm.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_oppoHemi_vetoca8_csvt.append(i);
elif dR_lj < ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_sameHemi_vetoca8.append( i );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.244: index_ak5_in_sameHemi_vetoca8_csvl.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.679: index_ak5_in_sameHemi_vetoca8_csvm.append(i);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[i] > 0.898: index_ak5_in_sameHemi_vetoca8_csvt.append(i);
### number of jets in the same emisphere of the lepton
self.ttb_nak5_same_[0] = int(len(index_ak5_in_sameHemi));
### number of jets in the same emisphere of the lepton passing csvl
self.ttb_nak5_same_csvl_[0] = int(len(index_ak5_in_sameHemi_csvl));
### number of jets in the same emisphere of the lepton passing csvm
self.ttb_nak5_same_csvm_[0] = int(len(index_ak5_in_sameHemi_csvm));
### number of jets in the same emisphere of the lepton passing csvt
self.ttb_nak5_same_csvt_[0] = int(len(index_ak5_in_sameHemi_csvt));
### number of jets in the opposite emisphere of the lepton
self.ttb_nak5_oppo_[0] = int(len(index_ak5_in_oppoHemi));
self.ttb_nak5_oppo_csvl_[0] = int(len(index_ak5_in_oppoHemi_csvl));
self.ttb_nak5_oppo_csvm_[0] = int(len(index_ak5_in_oppoHemi_csvm));
self.ttb_nak5_oppo_csvt_[0] = int(len(index_ak5_in_oppoHemi_csvt));
### number of jets in the opposite emisphere of the lepton cleaned wrt to the hadronic candidate
self.ttb_nak5_oppoveto_[0] = int(len(index_ak5_in_oppoHemi_vetoca8));
self.ttb_nak5_oppoveto_csvl_[0] = int(len(index_ak5_in_oppoHemi_vetoca8_csvl));
self.ttb_nak5_oppoveto_csvm_[0] = int(len(index_ak5_in_oppoHemi_vetoca8_csvm));
self.ttb_nak5_oppoveto_csvt_[0] = int(len(index_ak5_in_oppoHemi_vetoca8_csvt));
### number of jets in the same emisphere of the lepton cleaned wrt to the hadronic candidate
self.ttb_nak5_sameveto_[0] = int(len(index_ak5_in_sameHemi_vetoca8));
self.ttb_nak5_sameveto_csvl_[0] = int(len(index_ak5_in_sameHemi_vetoca8_csvl));
self.ttb_nak5_sameveto_csvm_[0] = int(len(index_ak5_in_sameHemi_vetoca8_csvm));
self.ttb_nak5_sameveto_csvt_[0] = int(len(index_ak5_in_sameHemi_vetoca8_csvt));
self.ttb_ht_[0] = ttb_ht;
self.ttb_ca8_mass_pr_[0] = getattr( self.InputTree_, "GroomedJet_CA8_mass_pr" )[theca8Index];
self.ttb_ca8_ungroomed_pt_[0] = getattr( self.InputTree_, "GroomedJet_CA8_pt" )[theca8Index];
self.ttb_ca8_ungroomed_eta_[0] = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[theca8Index];
self.ttb_ca8_ungroomed_phi_[0] = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[theca8Index];
self.ttb_ca8_ungroomed_e_[0] = getattr( self.InputTree_, "GroomedJet_CA8_e" )[theca8Index];
if not self.IsData_ :
self.ttb_ca8_ungroomed_gen_pt_[0] = getattr( self.InputTree_, "GenGroomedJet_CA8_pt" )[theca8Index];
self.ttb_ca8_ungroomed_gen_eta_[0] = getattr( self.InputTree_, "GenGroomedJet_CA8_eta" )[theca8Index];
self.ttb_ca8_ungroomed_gen_phi_[0] = getattr( self.InputTree_, "GenGroomedJet_CA8_phi" )[theca8Index];
self.ttb_ca8_ungroomed_gen_e_[0] = getattr( self.InputTree_, "GenGroomedJet_CA8_e" )[theca8Index];
self.ttb_ca8_charge_[0] = getattr( self.InputTree_, "GroomedJet_CA8_jetcharge" )[theca8Index];
# self.ttb_ca8_charge_k05_[0] = getattr( self.InputTree_, "GroomedJet_CA8_jetcharge_k05" )[theca8Index];
# self.ttb_ca8_charge_k07_[0] = getattr( self.InputTree_, "GroomedJet_CA8_jetcharge_k07" )[theca8Index];
# self.ttb_ca8_charge_k10_[0] = getattr( self.InputTree_, "GroomedJet_CA8_jetcharge_k10" )[theca8Index];
self.ttb_ca8_tau2tau1_[0] = getattr( self.InputTree_, "GroomedJet_CA8_tau2tau1" )[theca8Index];
# self.ttb_ca8_tau2tau1_exkT_[0] = getattr( self.InputTree_, "GroomedJet_CA8_tau2tau1_exkT" )[theca8Index];
# self.ttb_ca8_tau2tau1_pr_[0] = getattr( self.InputTree_, "GroomedJet_CA8_tau2tau1_pr" )[theca8Index];
# self.ttb_ca8_GeneralizedECF_[0] = getattr( self.InputTree_, "GroomedJet_CA8_jetGeneralizedECF" )[theca8Index];
self.ttb_ca8_mu_[0] = getattr( self.InputTree_, "GroomedJet_CA8_massdrop_pr" )[theca8Index];
ttb_ca8J_p4 = ROOT.TLorentzVector();
ttb_ca8J_pt = getattr( self.InputTree_, "GroomedJet_CA8_pt" )[theca8Index];
ttb_ca8J_eta = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[theca8Index];
ttb_ca8J_phi = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[theca8Index];
ttb_ca8J_e = getattr( self.InputTree_, "GroomedJet_CA8_e" )[theca8Index];
ttb_ca8J_p4.SetPtEtaPhiE(ttb_ca8J_pt, ttb_ca8J_eta, ttb_ca8J_phi, ttb_ca8J_e)
ttb_V_p4 = ROOT.TLorentzVector(getattr(self.InputTree_,"W_px"),getattr(self.InputTree_,"W_py"),getattr(self.InputTree_,"W_pz_type0"),getattr(self.InputTree_,"W_e"));
self.ttb_ca8_mlvj_type0_[0] = (ttb_V_p4+ttb_ca8J_p4).M();
ttb_V_p4.SetPtEtaPhiE(getattr(self.InputTree_,"W_px"),getattr(self.InputTree_,"W_py"),getattr(self.InputTree_,"W_pz_type2"),getattr(self.InputTree_,"W_e"));
self.ttb_ca8_mlvj_type2_[0] = (ttb_V_p4+ttb_ca8J_p4).M();
ttb_V_p4.SetPtEtaPhiE(getattr(self.InputTree_,"W_px"),getattr(self.InputTree_,"W_py"),getattr(self.InputTree_,"W_pz_type0_met"),getattr(self.InputTree_,"W_e"));
self.ttb_ca8_mlvj_type0_met_[0] = (ttb_V_p4+ttb_ca8J_p4).M();
ttb_V_p4.SetPtEtaPhiE(getattr(self.InputTree_,"W_px"),getattr(self.InputTree_,"W_py"),getattr(self.InputTree_,"W_pz_type2_met"),getattr(self.InputTree_,"W_e"));
self.ttb_ca8_mlvj_type2_met_[0] = (ttb_V_p4+ttb_ca8J_p4).M();
self.ttb_ca8_px_[0] = ttb_ca8J_p4.Px();
self.ttb_ca8_py_[0] = ttb_ca8J_p4.Py();
self.ttb_ca8_pz_[0] = ttb_ca8J_p4.Pz();
self.ttb_ca8_e_[0] = ttb_ca8J_p4.E();
## preselection for the ttbar control region selection: at least one btag loose same or opposite
oppo1same1 = (self.ttb_nak5_same_csvl_[0] > 0 or self.ttb_nak5_oppo_csvl_[0] > 0) or (self.ttb_nak5_sameveto_csvl_[0]>0 or self.ttb_nak5_oppoveto_csvl_[0]>0);
oppo2same0 = (self.ttb_nak5_same_csvl_[0] == 0 and self.ttb_nak5_oppo_csvl_[0] > 1) or (self.ttb_nak5_sameveto_csvl_[0]==0 or self.ttb_nak5_oppoveto_csvl_[0] > 1);
if oppo1same1 or oppo2same0:
self.isttbar_[0] = 1;
else:
self.ttb_nak5_same_[0] = -1;
self.ttb_nak5_same_csvl_[0] = -1;
self.ttb_nak5_same_csvm_[0] = -1;
self.ttb_nak5_same_csvt_[0] = -1;
self.ttb_nak5_oppo_[0] = -1;
self.ttb_nak5_oppo_csvl_[0] = -1;
self.ttb_nak5_oppo_csvm_[0] = -1;
self.ttb_nak5_oppo_csvt_[0] = -1;
self.ttb_nak5_oppoveto_[0] = -1;
self.ttb_nak5_oppoveto_csvl_[0] = -1;
self.ttb_nak5_oppoveto_csvm_[0] = -1;
self.ttb_nak5_oppoveto_csvt_[0] = -1;
self.ttb_nak5_sameveto_csvl_[0] = -1;
self.ttb_nak5_sameveto_csvm_[0] = -1;
self.ttb_nak5_sameveto_csvt_[0] = -1;
self.ttb_ca8_mass_pr_[0] = -1;
self.ttb_ca8_ungroomed_pt_[0] = -1;
self.ttb_ca8_ungroomed_eta_[0] = -999;
self.ttb_ca8_ungroomed_phi_[0] = -999;
self.ttb_ca8_ungroomed_e_[0] = -1;
self.ttb_ca8_ungroomed_gen_pt_[0] = -1;
self.ttb_ca8_ungroomed_gen_eta_[0] = -999;
self.ttb_ca8_ungroomed_gen_phi_[0] = -999;
self.ttb_ca8_ungroomed_gen_e_[0] = -1;
self.ttb_ca8_charge_[0] = -999;
self.ttb_ca8_charge_k05_[0] = -999;
self.ttb_ca8_charge_k07_[0] = -999;
self.ttb_ca8_charge_k10_[0] = -999;
self.ttb_ca8_tau2tau1_[0] = -999;
self.ttb_ca8_tau2tau1_exkT_[0] = -999;
self.ttb_ca8_tau2tau1_pr_[0] = -999;
self.ttb_ca8_GeneralizedECF_[0] = -999;
self.ttb_ca8_mu_[0] = -999;
self.ttb_ca8_mlvj_type0_[0] = -999;
self.ttb_ca8_mlvj_type2_[0] = -999;
self.ttb_ca8_mlvj_type0_met_[0] = -999;
self.ttb_ca8_mlvj_type2_met_[0] = -999;
self.ttb_ca8_px_[0] = -999;
self.ttb_ca8_py_[0] = -999;
self.ttb_ca8_pz_[0] = -999;
self.ttb_ca8_e_[0] = -999;
##################### Cuts And divinding event in SR and TTbar Control Region
leptonCut = 30; ## basic lepton thresolds
leptonCutString = "W_muon_pt";
metCut = 40;
if self.Channel_ == "el":
leptonCut = 35;
leptonCutString = "W_electron_pt";
metCut = 40;
signallike = 0;
if ( getattr( self.InputTree_, "W_pt" ) > 200 and
getattr( self.InputTree_, "GroomedJet_CA8_pt" )[0] > 200 and
math.fabs(getattr( self.InputTree_, "GroomedJet_CA8_eta" )[0]) < 2.4 and
getattr( self.InputTree_, "event_met_pfmet" ) > metCut and
getattr( self.InputTree_, leptonCutString ) > leptonCut and
getattr( self.InputTree_, "GroomedJet_CA8_deltaR_lca8jet") > 1.57) :
if ( self.Channel_ == "mu" and
math.fabs(getattr( self.InputTree_, "W_muon_dz000")) < 0.02 and
math.fabs(getattr( self.InputTree_, "W_muon_dzPV")) < 0.5 and
math.fabs( getattr( self.InputTree_, "W_muon_eta" )) < 2.1 ) :
signallike = 1 ;
elif self.Channel_ == "el" : signallike = 1 ;
ttbarlike = 0;
if self.isttbar_[0] == 1 and getattr( self.InputTree_, "event_met_pfmet" ) > metCut and getattr( self.InputTree_, leptonCutString ) > leptonCut:
ttbarlike = 1;
### store the info just for ttbar like or signal like events
if ttbarlike == 1 or signallike == 1 :
############### Fill Event property only for interesting events
self.event_[0] = getattr( self.InputTree_, "event_evtNo");
self.event_runNo_[0] = getattr( self.InputTree_, "event_runNo" );
self.event_lumi_[0] = getattr( self.InputTree_, "event_lumi" );
effwt = getattr( self.InputTree_, "effwt" );
puwt = getattr( self.InputTree_, "puwt" );
totSampleWeight = 1.;
if self.IsData_: totSampleWeight = wSampleWeight;
else: totSampleWeight = wSampleWeight*effwt*puwt; ## total weight takes into account also pileUp and efficiency (not the btag)
self.totalEventWeight_[0] = totSampleWeight;
self.eff_and_pu_Weight_[0] = effwt*puwt;
self.wSampleWeight_[0] = wSampleWeight;
self.btag_weight_[0] = getattr( self.InputTree_, "eff_btag" );
self.btag_weight_up_[0] = getattr( self.InputTree_, "eff_btag_up" );
self.btag_weight_dn_[0] = getattr( self.InputTree_, "eff_btag_dw" );
self.btag_weight_up_dn_[0] = getattr( self.InputTree_, "eff_btag_up_dw" );
self.btag_weight_dn_up_[0] = getattr( self.InputTree_, "eff_btag_dw_up" );
self.nPV_[0] = getattr( self.InputTree_, "event_nPV" );
self.issignal_[0] = signallike;
self.isttbar_[0] = ttbarlike;
self.numberJetBin_[0] = getattr(self.InputTree_, "numberJetBin")[0];
self.numberJetBin2_[0] = getattr(self.InputTree_, "numberJetBin")[1];
self.numberJetBin3_[0] = getattr(self.InputTree_, "numberJetBin")[2];
self.numberJetBin4_[0] = getattr(self.InputTree_, "numberJetBin")[3];
if not self.IsData_:
self.numberJetBinGen_[0] = getattr(self.InputTree_, "numberJetBinGen")[0];
self.numberJetBinGen2_[0] = getattr(self.InputTree_, "numberJetBinGen")[1];
self.numberJetBinGen3_[0] = getattr(self.InputTree_, "numberJetBinGen")[2];
self.numberJetBinGen4_[0] = getattr(self.InputTree_, "numberJetBinGen")[3];
if self.Label_ == "TTbar_mcatnlo" :
self.event_weight_[0] = getattr( self.InputTree_, "event_weight" )/math.fabs(getattr( self.InputTree_, "event_weight" )) ;
else: self.event_weight_[0] = 1.;
#### CPS part -> take value from histos
rwCPS = 1;
if self.SignalMass_ > 0:
binVal = self.x_rwCPS.FindBin(getattr(self.InputTree_,"W_H_mass_gen"));
if binVal > self.h_rwCPS.GetNbinsX(): binVal = self.h_rwCPS.GetNbinsX();
if binVal < 1: binVal = 1;
rwCPS = self.h_rwCPS.GetBinContent( binVal );
#interference weight
self.complexpolewtggH600 = getattr(self.InputTree_,"complexpolewtggH600")*rwCPS;
self.interferencewtggH600 = getattr(self.InputTree_,"interferencewtggH600");
self.avecomplexpolewtggH600 = getattr(self.InputTree_,"avecomplexpolewtggH600");
self.interference_Weight_H600_[0] = self.complexpolewtggH600*self.interferencewtggH600/self.avecomplexpolewtggH600; ## complete weight for standard higgs
self.complexpolewtggH700 = getattr(self.InputTree_,"complexpolewtggH700")*rwCPS;
self.interferencewtggH700 = getattr(self.InputTree_,"interferencewtggH700");
self.avecomplexpolewtggH700 = getattr(self.InputTree_,"avecomplexpolewtggH700");
self.interference_Weight_H700_[0] = self.complexpolewtggH700*self.interferencewtggH700/self.avecomplexpolewtggH700; ## complete weight for standard higgs
self.complexpolewtggH800 = getattr(self.InputTree_,"complexpolewtggH800")*rwCPS;
self.interferencewtggH800 = getattr(self.InputTree_,"interferencewtggH800");
self.avecomplexpolewtggH800 = getattr(self.InputTree_,"avecomplexpolewtggH800");
self.interference_Weight_H800_[0] = self.complexpolewtggH800*self.interferencewtggH800/self.avecomplexpolewtggH800; ## complete weight for standard higgs
self.complexpolewtggH900 = getattr(self.InputTree_,"complexpolewtggH900")*rwCPS;
self.interferencewtggH900 = getattr(self.InputTree_,"interferencewtggH900");
self.avecomplexpolewtggH900 = getattr(self.InputTree_,"avecomplexpolewtggH900");
self.interference_Weight_H900_[0] = self.complexpolewtggH900*self.interferencewtggH900/self.avecomplexpolewtggH900; ## complete weight for standard higgs
self.complexpolewtggH1000 = getattr(self.InputTree_,"complexpolewtggH1000")*rwCPS;
self.interferencewtggH1000 = getattr(self.InputTree_,"interferencewtggH1000");
self.avecomplexpolewtggH1000 = getattr(self.InputTree_,"avecomplexpolewtggH1000");
self.interference_Weight_H1000_[0] = self.complexpolewtggH1000*self.interferencewtggH1000/self.avecomplexpolewtggH1000; ## complete weight for standard higgs
self.cps_Weight_H600_[0] = self.complexpolewtggH600/self.avecomplexpolewtggH600;
self.cps_Weight_H700_[0] = self.complexpolewtggH700/self.avecomplexpolewtggH700;
self.cps_Weight_H800_[0] = self.complexpolewtggH800/self.avecomplexpolewtggH800;
self.cps_Weight_H900_[0] = self.complexpolewtggH900/self.avecomplexpolewtggH900;
self.cps_Weight_H1000_[0] = self.complexpolewtggH1000/self.avecomplexpolewtggH1000;
#### produce weights for alternative models
if self.SignalMass_ > 0:
curIntfRw = getattr(self.InputTree_,"interferencewtggH%03d"%(self.SignalMass_)); ## take the interference value
self.genHMass_[0] = getattr(self.InputTree_,"W_H_mass_gen");
self.genHphi_[0] = getattr(self.InputTree_,"W_H_phi_gen");
self.genHeta_[0] = getattr(self.InputTree_,"W_H_eta_gen");
self.genHpt_[0] = getattr(self.InputTree_,"W_H_pt_gen");
if self.isVBF_:
self.genTagQuark1E_[0] = getattr(self.InputTree_,"W_TagQuark_E")[0];
self.genTagQuark1eta_[0] = getattr(self.InputTree_,"W_TagQuark_eta")[0];
self.genTagQuark1phi_[0] = getattr(self.InputTree_,"W_TagQuark_phi")[0];
self.genTagQuark1pt_[0] = getattr(self.InputTree_,"W_TagQuark_pt")[0];
self.genTagQuark2E_[0] = getattr(self.InputTree_,"W_TagQuark_E")[1];
self.genTagQuark2eta_[0] = getattr(self.InputTree_,"W_TagQuark_eta")[1];
self.genTagQuark2phi_[0] = getattr(self.InputTree_,"W_TagQuark_phi")[1];
self.genTagQuark2pt_[0] = getattr(self.InputTree_,"W_TagQuark_pt")[1];
for i in range(len(self.cprimeVals)): ## run over the possible value of the new couplig constant and BR
for j in range(len(self.brnewVals)):
curCprime = float(self.cprimeVals[i])/10.;
curBRnew = float(self.brnewVals[j])/10.;
if self.isVBF_:
self.bsmReweights[i][j][0] = self.GetInteferenceWeights( getattr(self.InputTree_,"W_H_mass_gen"), curCprime, curBRnew );
else:
self.bsmReweights[i][j][0] = self.GetInteferenceWeights( getattr(self.InputTree_,"W_H_mass_gen"), curCprime, curBRnew )*IntfRescale(curIntfRw,curCprime,curBRnew);
else:
self.genHMass_[0] = -1;
self.genHphi_[0] = -999;
self.genHeta_[0] = -999;
self.genHpt_[0] = -1;
self.genTagQuark1E_ = -1;
self.genTagQuark1eta_ = -999.;
self.genTagQuark1phi_ = -999.;
self.genTagQuark1pt_ = -1.;
self.genTagQuark2E_ = -1;
self.genTagQuark2eta_ = -999.;
self.genTagQuark2phi_ = -999.;
self.genTagQuark2pt_ = -1.;
for i in range(len(self.cprimeVals)):
for j in range(len(self.brnewVals)):
self.bsmReweights[i][j][0] = -1;
################# Other basic Observables
self.mass_lvj_type0_[0] = getattr( self.InputTree_, "boostedW_lvj_m_type0" );
self.mass_lvj_type2_[0] = getattr( self.InputTree_, "boostedW_lvj_m_type2" );
self.mass_lvj_type0_met_[0] = getattr( self.InputTree_, "boostedW_lvj_m_type0_met" );
self.mass_lvj_type2_met_[0] = getattr( self.InputTree_, "boostedW_lvj_m_type2_met" );
self.mass_lv_subj_type0_[0] = getattr( self.InputTree_, "boosted_lvj_m_type0" );
self.mass_lv_subj_type2_[0] = getattr( self.InputTree_, "boosted_lvj_m_type2" );
self.mass_lv_subj_type0_met_[0] = getattr( self.InputTree_, "boosted_lvj_m_type0_met" );
self.mass_lv_subj_type2_met_[0] = getattr( self.InputTree_, "boosted_lvj_m_type2_met" );
self.v_pt_[0] = getattr( self.InputTree_, "W_pt" );
self.v_mt_[0] = getattr( self.InputTree_, "W_mt" );
self.v_eta_[0] = getattr( self.InputTree_, "W_eta" );
self.v_phi_[0] = getattr( self.InputTree_, "W_phi" );
self.nu_pz_type0_[0] = getattr( self.InputTree_, "W_nu1_pz_type0" );
self.nu_pz_type2_[0] = getattr( self.InputTree_, "W_nu1_pz_type2" );
self.nu_pz_type0_met_[0] = getattr( self.InputTree_, "W_nu1_pz_type0_met" );
self.nu_pz_type2_met_[0] = getattr( self.InputTree_, "W_nu1_pz_type2_met" );
self.W_pz_type0_[0] = getattr( self.InputTree_, "W_pz_type0" );
self.W_pz_type2_[0] = getattr( self.InputTree_, "W_pz_type2" );
self.W_pz_type0_met_[0] = getattr( self.InputTree_, "W_pz_type0_met" );
self.W_pz_type2_met_[0] = getattr( self.InputTree_, "W_pz_type2_met" );
W_Lepton_gen = ROOT.TLorentzVector() ;
if self.IsData_ == False :
self.nu_pz_gen_[0] = getattr( self.InputTree_, "W_neutrino_pz_gen" );
if self.Channel_ == "mu" :
W_Lepton_gen.SetPxPyPzE(getattr(self.InputTree_, "W_muon_px_gen" )+getattr(self.InputTree_, "W_neutrino_px_gen"),
getattr(self.InputTree_, "W_muon_py_gen" )+getattr(self.InputTree_, "W_neutrino_py_gen" ),
getattr(self.InputTree_, "W_muon_pz_gen" )+getattr(self.InputTree_, "W_neutrino_pz_gen" ),
getattr(self.InputTree_, "W_muon_e_gen" )+getattr(self.InputTree_, "W_neutrino_e_gen" ));
self.W_pz_gen_[0] = getattr( self.InputTree_, "W_neutrino_pz_gen" ) + getattr( self.InputTree_, "W_muon_pz_gen" );
self.W_pt_gen_[0] = W_Lepton_gen.Pt();
elif self.Channel_ == "el" :
W_Lepton_gen.SetPxPyPzE(getattr(self.InputTree_, "W_electron_px_gen" )+getattr(self.InputTree_, "W_neutrino_px_gen"),
getattr(self.InputTree_, "W_electron_py_gen" )+getattr(self.InputTree_, "W_neutrino_py_gen" ),
getattr(self.InputTree_, "W_electron_pz_gen" )+getattr(self.InputTree_, "W_neutrino_pz_gen" ),
getattr(self.InputTree_, "W_electron_e_gen" )+getattr(self.InputTree_, "W_neutrino_e_gen" ));
self.W_pz_gen_[0] = getattr( self.InputTree_, "W_neutrino_pz_gen" ) + getattr( self.InputTree_, "W_electron_pz_gen" );
self.W_pt_gen_[0] = W_Lepton_gen.Pt();
######## jet stuff
self.ungroomed_jet_pt_[0] = getattr( self.InputTree_, prefix+"_pt" )[0];
self.ungroomed_jet_eta_[0] = getattr( self.InputTree_, prefix+"_eta" )[0];
self.ungroomed_jet_phi_[0] = getattr( self.InputTree_, prefix+"_phi" )[0];
self.ungroomed_jet_e_[0] = getattr( self.InputTree_, prefix+"_e" )[0];
self.jet_mass_pr_[0] = getattr( self.InputTree_, prefix + "_mass_pr" )[0];
self.jet_pt_pr_[0] = getattr( self.InputTree_, prefix + "_pt_pr" )[0];
self.jet_charge_[0] = getattr( self.InputTree_, prefix + "_jetcharge" )[0];
# self.jet_charge_k05_[0] = getattr( self.InputTree_, prefix + "_jetcharge_k05" )[0];
# self.jet_charge_k07_[0] = getattr( self.InputTree_, prefix + "_jetcharge_k07" )[0];
# self.jet_charge_k10_[0] = getattr( self.InputTree_, prefix + "_jetcharge_k10" )[0];
self.jet_grsens_ft_[0] = getattr( self.InputTree_, prefix + "_mass_ft" )[0] / getattr( self.InputTree_, prefix + "_mass" )[0];
self.jet_grsens_tr_[0] = getattr( self.InputTree_, prefix + "_mass_tr" )[0] / getattr( self.InputTree_, prefix + "_mass" )[0];
self.jet_massdrop_pr_[0] = getattr( self.InputTree_, prefix + "_massdrop_pr" )[0];
### CA8 jet collection
self.jecUnc_.setJetEta( getattr( self.InputTree_, prefix+"_eta" )[0]);
self.jecUnc_.setJetPt( getattr( self.InputTree_, prefix+"_pt" )[0]);
self.j_jecfactor_up_[0] = self.jecUnc_.getUncertainty( True );
self.jecUnc_.setJetEta( getattr( self.InputTree_, prefix+"_eta" )[0]);
self.jecUnc_.setJetPt( getattr( self.InputTree_, prefix+"_pt" )[0]);
self.j_jecfactor_dn_[0] = self.jecUnc_.getUncertainty( False ) ;
self.j_jecfactor_up_[0] = math.sqrt( self.j_jecfactor_up_[0]**2 + 0.02**2 );
self.j_jecfactor_dn_[0] = math.sqrt( self.j_jecfactor_dn_[0]**2 + 0.02**2 );
self.curjes_up = 1 + self.j_jecfactor_up_[0]
self.curjes_dn = 1 - self.j_jecfactor_dn_[0]
jorig_pt = getattr( self.InputTree_, prefix + "_pt_pr" )[0];
jorig_eta = getattr( self.InputTree_, prefix + "_eta_pr" )[0];
jorig_phi = getattr( self.InputTree_, prefix + "_phi_pr" )[0];
jorig_e = getattr( self.InputTree_, prefix + "_e_pr" )[0];
jdef_ptetaphie = ROOT.TLorentzVector();
jdef_ptetaphie.SetPtEtaPhiE(jorig_pt, jorig_eta, jorig_phi, jorig_e)
jdef_up = ROOT.TLorentzVector(jdef_ptetaphie.Px() * self.curjes_up, jdef_ptetaphie.Py() * self.curjes_up,
jdef_ptetaphie.Pz() * self.curjes_up, jdef_ptetaphie.E() * self.curjes_up);
jdef_dn = ROOT.TLorentzVector(jdef_ptetaphie.Px() * self.curjes_dn, jdef_ptetaphie.Py() * self.curjes_dn,
jdef_ptetaphie.Pz() * self.curjes_dn, jdef_ptetaphie.E() * self.curjes_dn);
self.jet_mass_pr_up_[0] = jdef_up.M();
self.jet_mass_pr_dn_[0] = jdef_dn.M();
self.jet_ungroomed_jet_pt_up_[0] = jdef_up.Pt();
self.jet_ungroomed_jet_pt_dn_[0] = jdef_dn.Pt();
qjetmassdistribution = getattr( self.InputTree_, prefix+"_qjetmass" );
qjetvol = getListRMS(qjetmassdistribution)/getListMean(qjetmassdistribution);
self.jet_qjetvol_[0] = qjetvol;
self.jet_tau2tau1_[0] = getattr( self.InputTree_, prefix + "_tau2tau1" )[0];
# self.jet_tau2tau1_exkT_[0] = getattr( self.InputTree_, prefix + "_tau2tau1_exkT" )[0];
# self.jet_tau2tau1_pr_[0] = getattr( self.InputTree_, prefix + "_tau2tau1_pr" )[0];
# self.jet_GeneralizedECF_[0] = getattr( self.InputTree_, prefix + "_jetGeneralizedECF" )[0];
self.jet_jetconstituents_[0] = getattr( self.InputTree_, prefix + "_jetconstituents" )[0];
self.jet_rcore4_[0] = getattr( self.InputTree_, prefix + "_rcores")[3*6 + 0];
self.jet_rcore5_[0] = getattr( self.InputTree_, prefix + "_rcores")[4*6 + 0];
self.jet_rcore6_[0] = getattr( self.InputTree_, prefix + "_rcores")[5*6 + 0];
self.jet_rcore7_[0] = getattr( self.InputTree_, prefix + "_rcores")[6*6 + 0];
self.jet_planarlow04_[0] = getattr( self.InputTree_, prefix + "_planarflow04");
self.jet_planarlow05_[0] = getattr( self.InputTree_, prefix + "_planarflow05");
self.jet_planarlow06_[0] = getattr( self.InputTree_, prefix + "_planarflow06");
self.jet_planarlow07_[0] = getattr( self.InputTree_, prefix + "_planarflow07");
self.pt1FracVal = max( getattr( self.InputTree_, prefix + "_prsubjet1ptoverjetpt" ), getattr( self.InputTree_, prefix + "_prsubjet2ptoverjetpt" ) );
self.pt2FracVal = min( getattr( self.InputTree_, prefix + "_prsubjet1ptoverjetpt" ), getattr( self.InputTree_, prefix + "_prsubjet2ptoverjetpt" ) );
self.jet_pt1frac_[0] = self.pt1FracVal;
self.jet_pt2frac_[0] = self.pt2FracVal;
self.jet_sjdr_[0] = getattr( self.InputTree_, prefix + "_prsubjet1subjet2_deltaR" );
self.deltaR_lca8jet_[0] = getattr( self.InputTree_, prefix + "_deltaR_lca8jet" );
self.deltaphi_METca8jet_[0] = getattr( self.InputTree_, prefix + "_deltaphi_METca8jet_type2" );
self.deltaphi_Vca8jet_[0] = getattr( self.InputTree_, prefix + "_deltaphi_Vca8jet_type2" );
self.deltaphi_METca8jet_met_[0] = getattr( self.InputTree_, prefix + "_deltaphi_METca8jet_type2_met" );
self.deltaphi_Vca8jet_met_[0] = getattr( self.InputTree_, prefix + "_deltaphi_Vca8jet_type2_met" );
if not self.IsData_ :
self.ungroomed_gen_jet_pt_[0] = getattr( self.InputTree_, "Gen"+prefix+"_pt" )[0];
self.ungroomed_gen_jet_eta_[0] = getattr( self.InputTree_, "Gen"+prefix+"_eta" )[0];
self.ungroomed_gen_jet_phi_[0] = getattr( self.InputTree_, "Gen"+prefix+"_phi" )[0];
self.ungroomed_gen_jet_e_[0] = getattr( self.InputTree_, "Gen"+prefix+"_e" )[0];
self.gen_jet_mass_pr_ = getattr( self.InputTree_, "Gen"+prefix + "_mass_pr" )[0];
self.gen_jet_pt_pr_ = getattr( self.InputTree_, "Gen"+prefix + "_pt_pr" )[0];
# self.gen_jet_charge_ = getattr( self.InputTree_, "Gen"+prefix + "_charge" )[0];
# self.gen_jet_charge_k05_ = getattr( self.InputTree_, "Gen"+prefix + "_charge_k05" )[0];
# self.gen_jet_charge_k07_ = getattr( self.InputTree_, "Gen"+prefix + "_charge_k07" )[0];
# self.gen_jet_charge_k10_ = getattr( self.InputTree_, "Gen"+prefix + "_charge_k10" )[0];
self.gen_jet_grsens_ft_[0] = getattr( self.InputTree_, "Gen"+prefix + "_mass_ft" )[0] / getattr( self.InputTree_, "Gen"+prefix + "_mass" )[0];
self.gen_jet_grsens_tr_[0] = getattr( self.InputTree_, "Gen"+prefix + "_mass_tr" )[0] / getattr( self.InputTree_, "Gen"+prefix + "_mass" )[0];
self.gen_jet_massdrop_pr_[0] = getattr( self.InputTree_, "Gen"+prefix + "_massdrop_pr" )[0];
# qjetmassdistribution = getattr( self.InputTree_, "Gen"+prefix+"_qjetmass" );
# qjetvol = getListRMS(qjetmassdistribution)/getListMean(qjetmassdistribution);
# self.gen_jet_qjetvol_[0] = qjetvol;
self.gen_jet_tau2tau1_[0] = getattr( self.InputTree_, "Gen"+prefix + "_tau2tau1" )[0];
# self.gen_jet_tau2tau1_exkT_[0] = getattr( self.InputTree_, "Gen"+prefix + "_tau2tau1_exkT" )[0];
# self.gen_jet_tau2tau1_pr_[0] = getattr( self.InputTree_, "Gen"+prefix + "_tau2tau1_pr" )[0];
# self.gen_jet_jetconstituents_[0] = getattr( self.InputTree_, "Gen"+prefix + "_jetconstituents" )[0];
self.gen_jet_rcore4_[0] = getattr( self.InputTree_, "Gen"+prefix + "_rcores")[3*6 + 0];
self.gen_jet_rcore5_[0] = getattr( self.InputTree_, "Gen"+prefix + "_rcores")[4*6 + 0];
self.gen_jet_rcore6_[0] = getattr( self.InputTree_, "Gen"+prefix + "_rcores")[5*6 + 0];
self.gen_jet_rcore7_[0] = getattr( self.InputTree_, "Gen"+prefix + "_rcores")[6*6 + 0];
# self.gen_jet_planarlow04_[0] = getattr( self.InputTree_, "Gen"+prefix + "_planarflow04");
# self.gen_jet_planarlow05_[0] = getattr( self.InputTree_, "Gen"+prefix + "_planarflow05");
# self.gen_jet_planarlow06_[0] = getattr( self.InputTree_, "Gen"+prefix + "_planarflow06");
# self.gen_jet_planarlow07_[0] = getattr( self.InputTree_, "Gen"+prefix + "_planarflow07");
# self.pt1FracVal = max( getattr( self.InputTree_, "Gen"+prefix + "_prsubjet1ptoverjetpt" ), getattr( self.InputTree_, "Gen"+prefix + "_prsubjet2ptoverjetpt" ) );
# self.pt2FracVal = min( getattr( self.InputTree_, "Gen"+prefix + "_prsubjet1ptoverjetpt" ), getattr( self.InputTree_, "Gen"+prefix + "_prsubjet2ptoverjetpt" ) );
# self.gen_jet_pt1frac_[0] = pt1FracVal;
# self.gen_jet_pt2frac_[0] = pt2FracVal;
# self.gen_jet_sjdr_[0] = getattr( self.InputTree_,"Gen"+prefix + "_prsubjet1subjet2_deltaR" );
### lepton and met side
if self.Channel_ == "mu" :
self.l_pt_[0] = getattr( self.InputTree_, "W_muon_pt" );
self.l_eta_[0] = getattr( self.InputTree_, "W_muon_eta" );
self.l_phi_[0] = getattr( self.InputTree_, "W_muon_phi" );
self.l_charge_[0] = getattr( self.InputTree_, "W_muon_charge" );
elif self.Channel_ == "el":
self.l_pt_[0] = getattr( self.InputTree_, "W_electron_pt" );
self.l_eta_[0] = getattr( self.InputTree_, "W_electron_eta" );
self.l_phi_[0] = getattr( self.InputTree_, "W_electron_phi" );
self.l_charge_[0] = getattr( self.InputTree_, "W_electron_charge" );
self.pfMET_[0] = getattr( self.InputTree_, "event_met_pfmet" );
self.pfMET_Phi_[0] = getattr( self.InputTree_, "event_met_pfmetPhi" );
######## VBF jet Stuff
if self.numberJetBin_[0] ==1 :
self.vbf_maxpt_j1_m_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_m");
self.vbf_maxpt_j1_pt_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_pt");
self.vbf_maxpt_j1_eta_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_eta");
self.vbf_maxpt_j1_phi_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_phi");
self.vbf_maxpt_j1_QGLikelihood_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_QGLikelihood");
self.vbf_maxpt_j1_isPileUpMedium_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_isPileUpMedium");
self.vbf_maxpt_j1_isPileUpTight_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_isPileUpTight");
self.vbf_maxpt_j1_bDiscriminatorCSV_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_bDiscriminatorCSV");
if self.numberJetBinGen_[0] ==1 and not self.IsData_:
self.vbf_maxpt_j1_m_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_m_gen");
self.vbf_maxpt_j1_pt_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_pt_gen");
self.vbf_maxpt_j1_eta_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_eta_gen");
self.vbf_maxpt_j1_phi_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_phi_gen");
self.vbf_maxpt_j1_bDiscriminatorCSV_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_bDiscriminatorCSV_gen");
if self.numberJetBin_[0] >=2 :
self.vbf_maxpt_jj_m_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_m");
self.vbf_maxpt_jj_pt_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_pt");
self.vbf_maxpt_jj_eta_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_eta");
self.vbf_maxpt_jj_phi_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_phi");
self.vbf_maxpt_j1_m_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_m");
self.vbf_maxpt_j1_pt_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_pt");
self.vbf_maxpt_j1_eta_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_eta");
self.vbf_maxpt_j1_phi_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_phi");
self.vbf_maxpt_j2_m_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_m");
self.vbf_maxpt_j2_pt_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_pt");
self.vbf_maxpt_j2_eta_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_eta");
self.vbf_maxpt_j2_phi_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_phi");
self.vbf_maxpt_j1_QGLikelihood_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_QGLikelihood");
self.vbf_maxpt_j2_QGLikelihood_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_QGLikelihood");
self.vbf_maxpt_j1_isPileUpMedium_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_isPileUpMedium");
self.vbf_maxpt_j1_isPileUpTight_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_isPileUpTight");
self.vbf_maxpt_j2_isPileUpMedium_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_isPileUpMedium");
self.vbf_maxpt_j2_isPileUpMedium_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_isPileUpMedium");
self.vbf_maxpt_j1_bDiscriminatorCSV_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_bDiscriminatorCSV");
self.vbf_maxpt_j2_bDiscriminatorCSV_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_bDiscriminatorCSV");
if not self.IsData_ and self.numberJetBinGen_[0]>= 2:
self.vbf_maxpt_jj_m_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_m_gen");
self.vbf_maxpt_jj_pt_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_pt_gen");
self.vbf_maxpt_jj_eta_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_eta_gen");
self.vbf_maxpt_jj_phi_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_jj_phi_gen");
self.vbf_maxpt_j1_m_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_m_gen");
self.vbf_maxpt_j1_pt_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_pt_gen");
self.vbf_maxpt_j1_eta_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_eta_gen");
self.vbf_maxpt_j1_phi_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_phi_gen");
self.vbf_maxpt_j2_m_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_m_gen");
self.vbf_maxpt_j2_pt_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_pt_gen");
self.vbf_maxpt_j2_eta_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_eta_gen");
self.vbf_maxpt_j2_phi_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_phi_gen");
self.vbf_maxpt_j1_bDiscriminatorCSV_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j1_bDiscriminatorCSV_gen");
self.vbf_maxpt_j2_bDiscriminatorCSV_gen_[0] = getattr(self.InputTree_, "vbf_maxpt_j2_bDiscriminatorCSV_gen");
### scaling jets
j_jecfactorAK5_up_ = array('f',[0.]);
j_jecfactorAK5_dn_ = array('f',[0.]);
self.jecUncAK5_.setJetEta(getattr(self.InputTree_, "vbf_maxpt_j1_eta" ));
self.jecUncAK5_.setJetPt( getattr(self.InputTree_, "vbf_maxpt_j1_pt" ));
j_jecfactorAK5_up_[0] = self.jecUncAK5_.getUncertainty( True );
self.jecUncAK5_.setJetEta(getattr( self.InputTree_, "vbf_maxpt_j1_eta" ));
self.jecUncAK5_.setJetPt(getattr( self.InputTree_, "vbf_maxpt_j1_pt" ));
j_jecfactorAK5_dn_[0] = self.jecUncAK5_.getUncertainty( False ) ;
self.vbf_maxpt_j1 = ROOT.TLorentzVector();
self.vbf_maxpt_j1.SetPtEtaPhiM(self.vbf_maxpt_j1_pt_[0],self.vbf_maxpt_j1_eta_[0],self.vbf_maxpt_j1_phi_[0],self.vbf_maxpt_j1_m_[0]);
vbf_maxpt_j1_up = ROOT.TLorentzVector(self.vbf_maxpt_j1.Px()*(1+j_jecfactorAK5_up_[0]),
self.vbf_maxpt_j1.Py()*(1+j_jecfactorAK5_up_[0]),
self.vbf_maxpt_j1.Pz()*(1+j_jecfactorAK5_up_[0]),
self.vbf_maxpt_j1.E()*(1+j_jecfactorAK5_up_[0]));
self.vbf_maxpt_j1_m_up_[0] = vbf_maxpt_j1_up.M();
self.vbf_maxpt_j1_pt_up_[0] = vbf_maxpt_j1_up.Pt();
self.vbf_maxpt_j1_eta_up_[0] = vbf_maxpt_j1_up.Eta();
self.vbf_maxpt_j1_phi_up_[0] = vbf_maxpt_j1_up.Phi();
vbf_maxpt_j1_dn = ROOT.TLorentzVector(self.vbf_maxpt_j1.Px()*(1+j_jecfactorAK5_dn_[0]),
self.vbf_maxpt_j1.Py()*(1+j_jecfactorAK5_dn_[0]),
self.vbf_maxpt_j1.Pz()*(1+j_jecfactorAK5_dn_[0]),
self.vbf_maxpt_j1.E()*(1+j_jecfactorAK5_dn_[0]));
self.vbf_maxpt_j1_m_dn_[0] = vbf_maxpt_j1_dn.M();
self.vbf_maxpt_j1_pt_dn_[0] = vbf_maxpt_j1_dn.Pt();
self.vbf_maxpt_j1_eta_dn_[0] = vbf_maxpt_j1_dn.Eta();
self.jecUncAK5_.setJetEta( getattr( self.InputTree_, "vbf_maxpt_j2_eta" ));
self.jecUncAK5_.setJetPt( getattr( self.InputTree_, "vbf_maxpt_j2_pt" ));
j_jecfactorAK5_up_[0] = self.jecUncAK5_.getUncertainty( True );
self.jecUncAK5_.setJetEta( getattr( self.InputTree_, "vbf_maxpt_j2_eta" ));
self.jecUncAK5_.setJetPt( getattr( self.InputTree_, "vbf_maxpt_j2_pt" ));
j_jecfactorAK5_dn_[0] = self.jecUncAK5_.getUncertainty( False ) ;
self.vbf_maxpt_j2 = ROOT.TLorentzVector();
self.vbf_maxpt_j2.SetPtEtaPhiM(self.vbf_maxpt_j2_pt_[0],self.vbf_maxpt_j2_eta_[0],self.vbf_maxpt_j2_phi_[0],self.vbf_maxpt_j2_m_[0]);
vbf_maxpt_j2_up = ROOT.TLorentzVector(self.vbf_maxpt_j2.Px()*(1+j_jecfactorAK5_up_[0]),
self.vbf_maxpt_j2.Py()*(1+j_jecfactorAK5_up_[0]),
self.vbf_maxpt_j2.Pz()*(1+j_jecfactorAK5_up_[0]),