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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 b "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 deltaphi(phi1,phi2):
if math.fabs(phi1-phi2) > ROOT.TMath.Pi() :
return (2*ROOT.TMath.Pi()-math.fabs(phi1-phi2));
else:
return math.fabs(phi1-phi2);
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 --> set Higgs properties when running on higgs samples
self.SignalMass_ = -1;
if TString(self.FileName_).Contains("HWW") and TString(self.FileName_).Contains("600") : self.SignalMass_ = 600;
if TString(self.FileName_).Contains("HWW") and TString(self.FileName_).Contains("700") : self.SignalMass_ = 700;
if TString(self.FileName_).Contains("HWW") and TString(self.FileName_).Contains("800") : self.SignalMass_ = 800;
if TString(self.FileName_).Contains("HWW") and TString(self.FileName_).Contains("900") : self.SignalMass_ = 900;
if TString(self.FileName_).Contains("HWW") and TString(self.FileName_).Contains("1000") : self.SignalMass_ = 1000;
self.FitSMSignal = False;
self.FitSMSignal_mean = -1;
self.FitSMSignal_gamma = -1;
self.isVBF_ = False;
if TString(self.FileName_).Contains("VBFHWW") : self.isVBF_ = True;
###### reweight file --> open the root file for cps re-weighting at posteriori and prepare the information for VBF interference reweight
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(jecUncStrAK5);
self.jerUncStr_ = ROOT.std.string(fDir + "pfJetResolutionMCtoDataCorrLUT.root");
self.jerHistName_ = ROOT.std.string("pfJetResolutionMCtoDataCorrLUT");
self.inputJERCFile_ = ROOT.TFile(ROOT.TString(self.jerUncStr_).Data());
self.histoJERC_ = self.inputJERCFile_.Get(ROOT.TString(self.jerHistName_).Data());
self.jetResolutionMC_CA8_ = [0.051,0.051,0.061,0.062,0.072,0.1]
self.jetResolutionMC_AK5_ = [0.053,0.054,0.067,0.072,0.082,0.1]
self.Random_ = ROOT.TRandom3();
self.Random_.SetSeed();
if self.Channel_ == "mu":
self.LeptonScaleUnc_ = 0.002 ;
self.LeptonScaleUncHighPT_ = math.sqrt(0.002**2 + 0.05**2) ;
self.LeptonResolutionUnc_ = 0.006 ;
else:
self.LeptonScaleUnc_ = 0.006 ;
self.LeptonScaleUncHighPT_ = 0.006 ;
self.LeptonResolutionUnc_ = 0.014 ;
def getLabel(self):
return self.Label_
def getTrainingTreeName(self):
return self.OFileName_
def getSampleLabel(self):
return self.Label_
def crystalBallLowHigh( self, x, par):
xx = x[0];
mean = par[1];
sigma = par[2];
alpha = par[3];
n = par[4];
alpha2 = par[5];
n2 = par[6];
if (xx-mean)/sigma > math.fabs(alpha) :
A = ROOT.TMath.Power(n/math.fabs(alpha), n) * ROOT.TMath.Exp(-0.5 * alpha*alpha)
B = n/math.fabs(alpha) - math.fabs(alpha);
return par[0] * A * math.pow(B + (xx-mean)/sigma, -1.*n);
elif (xx-mean)/sigma < -1.*math.fabs(alpha2):
A = ROOT.TMath.Power(n2/math.fabs(alpha2), n2) * ROOT.TMath.Exp(-0.5 * alpha2*alpha2);
B = n2/math.fabs(alpha2) - math.fabs(alpha2);
return par[0] * A * ROOT.TMath.Power(B - (xx-mean)/sigma, -1.*n2);
else:
return par[0] * ROOT.TMath.Exp(-1. * (xx-mean)*(xx-mean) / (2*sigma*sigma) );
### main function used to create the final otree
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 --> input are the generator mass value for a given event, c' and BRnew
def GetInteferenceWeights(self, mass, Cprime, BRnew=0, rwCPS=1):
massin = self.SignalMass_;
if massin < 0: return;
## define the fit range min and max as a function of the higgs mass
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 --> just for the first event, the file is read again and the lineshape is fitted just one time, taking
#### the generated value, max and min range --> mean and gamma for BWRunning fit is returned from the function
if not self.FitSMSignal:
fitSM = FitMassPoint(self.FileName_, massin, massmin[massin], massmax[massin],rwCPS);
self.FitSMSignal_mean = fitSM[0];
self.FitSMSignal_gamma = fitSM[1];
self.FitSMSignal = True;
#### create a weight for the given event after switch is turned --> taking the fitted mean, Gamma and the factor realted to c' and BRnew
weight_width = lineshapeWidthReweight(mass, self.FitSMSignal_mean, self.FitSMSignal_gamma, Cprime/(1.-BRnew), massmin[massin], massmax[massin]); ## new gamma
weight_xs = Cprime*(1-BRnew); ## new xs
return (weight_width*weight_xs); ## the weight is the product of the two
### ------------------------------------------------
def createBRDTree(self):
#### Output file --> create
fname = self.OFileName_;
self.OFile_ = ROOT.TFile(fname,"RECREATE");
self.otree = ROOT.TTree("otree","otree");
########## Initialize Variables
self.InitializeVariables();
########## Create Output branches
self.createBranches();
###### loop preparation
prefix = self.JetPrefix_;
NLoop = min(self.NTree_,10e9);
NLoopWeight = self.NTree_/NLoop;
wSampleWeight = NLoopWeight*self.SampleWeight_;
RooTrace.active(ROOT.kTRUE);
RooTrace.mark();
################################################
########## Start Loop On the Evvents ###########
################################################
for iEvent in range(NLoop) :
if iEvent %10000 == 0: print "iEvent = ", iEvent
self.InputTree_.GetEntry(iEvent);
if self.Channel_ == 'mu': lepLabel = "muon";
if self.Channel_ == 'el': lepLabel = "electron";
###############################################
########## Fill TTbar Control Region Info ####
###############################################
ttbarlike = 0;
index_ca8_in_oppoHemi = [];
for iJet in range(6): ### loop on ca8 jet over pt > 200, take dR(jet,lep) > Pi/2 --> opposite hemisphere
if getattr( self.InputTree_, "GroomedJet_CA8_pt" )[iJet] > 200 and math.fabs(getattr( self.InputTree_, "GroomedJet_CA8_eta" )[iJet])<2.4:
j_ca8_eta = getattr( self.InputTree_, "GroomedJet_CA8_eta" )[iJet];
j_ca8_phi = getattr( self.InputTree_, "GroomedJet_CA8_phi" )[iJet];
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 + deltaphi(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(iJet); ## opposite hemishpere
minMass = -1;
theca8Index = -1;
## loop on the vector of opposite hemisphere and take the jet with the mass closer to the nominal W mass
for iJet in range(len(index_ca8_in_oppoHemi)):
curmass = getattr( self.InputTree_, "GroomedJet_CA8_mass_pr" )[index_ca8_in_oppoHemi[iJet]]; ## 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[iJet];
### count ak5 jets
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 = [];
## HT of the event --> pt scalar sum
ttb_ht = getattr( self.InputTree_, "W_"+lepLabel+"_pt" );
ttb_ht += getattr( self.InputTree_, "event_met_pfmet" );
dR_ca8_bjet = -999 ;
dR_ca8_jet = -999 ;
if theca8Index >= 0: ## if a W candidate is found --> loop on ak5 jet in the JetPFCor collection -> central jets
for iJet in range(6):
if getattr( self.InputTree_, "JetPFCor_Pt" )[iJet] < 0 : break ;
if getattr( self.InputTree_, "JetPFCor_Pt" )[iJet] > 30: ## loop on the ak5 with pt > 30 only central jets
ttb_ht += getattr( self.InputTree_, "JetPFCor_Pt" )[iJet];
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" )[iJet];
j_ak5_phi = getattr( self.InputTree_, "JetPFCor_Phi" )[iJet];
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 + deltaphi(j_ak5_phi,j_ca8_phi)**2 ); ## delta R W-jet jet
dR_lj = math.sqrt( (l_eta - j_ak5_eta)**2 + deltaphi(l_phi,j_ak5_phi)**2 ); ## delta R jet lep
if dR_lj < ROOT.TMath.Pi()/2. : ## same hemisphere wrt to the lepton, no cleaning with W-jet --> same hemisphere -> btag counting
index_ak5_in_sameHemi.append( iJet );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_sameHemi_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_sameHemi_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_sameHemi_csvt.append(iJet);
elif dR_lj > ROOT.TMath.Pi()/2. : ## opposite hemisphere wrt to the lepton, no cleaning with W-jet --> opposite hemisphere -> btag counting
index_ak5_in_oppoHemi.append( iJet );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_oppoHemi_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_oppoHemi_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_oppoHemi_csvt.append(iJet);
if dR_lj > ROOT.TMath.Pi()/2. and dR_jj > 0.8: ### veto ca8 counter --> cleaning inside W-jet -> a W never go to b, but some btag fake rate is possible
index_ak5_in_oppoHemi_vetoca8.append( iJet );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_oppoHemi_vetoca8_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_oppoHemi_vetoca8_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_oppoHemi_vetoca8_csvt.append(iJet);
elif dR_lj < ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_sameHemi_vetoca8.append( iJet );
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_sameHemi_vetoca8_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_sameHemi_vetoca8_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_sameHemi_vetoca8_csvt.append(iJet);
### other topological info dR between W-jet and closer jet or bjet outside its cone
if dR_jj > 0.8 :
if getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] > 0.679 and dR_jj < math.fabs(dR_ca8_bjet) :
dR_ca8_bjet = dR_jj ;
dR_ca8_jet = dR_jj ;
elif getattr( self.InputTree_, "JetPFCor_bDiscriminatorCSV" )[iJet] <= 0.679 and dR_jj < math.fabs(dR_ca8_jet) :
dR_ca8_jet = dR_jj ;
for iJet in range(6): ## same loop on forward jets
if getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[iJet] < 0 : break ;
if getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[iJet] > 30: ## loop on the ak5 with pt > 30 only central jets
ttb_ht += getattr( self.InputTree_, "JetPFCorVBFTag_Pt" )[iJet];
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" )[iJet];
j_ak5_phi = getattr( self.InputTree_, "JetPFCorVBFTag_Phi" )[iJet];
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 + deltaphi(j_ak5_phi,j_ca8_phi)**2 ); ## delta R W-jet jet
dR_lj = math.sqrt( (l_eta - j_ak5_eta)**2 + deltaphi(l_phi,j_ak5_phi)**2 ); ## delta R jet lep
if dR_lj < ROOT.TMath.Pi()/2. : ## same hemisphere wrt to lepton --> no cleaning with ak5 inside W-jet cone
index_ak5_in_sameHemi.append( iJet );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_sameHemi_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_sameHemi_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_sameHemi_csvt.append(iJet);
elif dR_lj > ROOT.TMath.Pi()/2. : ## opposite hemisphere wrt to lepton --> no cleaning with ak5 inside W-jet cone
index_ak5_in_oppoHemi.append( iJet );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_oppoHemi_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_oppoHemi_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_oppoHemi_csvt.append(iJet);
if dR_lj > ROOT.TMath.Pi()/2. and dR_jj > 0.8: ## same hemisphere wrt to lepton --> cleaning with ak5 inside W-jet cone
index_ak5_in_oppoHemi_vetoca8.append( iJet );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_oppoHemi_vetoca8_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_oppoHemi_vetoca8_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_oppoHemi_vetoca8_csvt.append(iJet);
elif dR_lj < ROOT.TMath.Pi()/2. and dR_jj > 0.8:
index_ak5_in_sameHemi_vetoca8.append( iJet );
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.244: index_ak5_in_sameHemi_vetoca8_csvl.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.679: index_ak5_in_sameHemi_vetoca8_csvm.append(iJet);
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.898: index_ak5_in_sameHemi_vetoca8_csvt.append(iJet);
### other topological info dR between W-jet and closer jet or bjet outside its cone
if dR_jj > 0.8:
if getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] > 0.679 and dR_jj < math.fabs(dR_ca8_bjet) :
dR_ca8_bjet = dR_jj ;
dR_ca8_jet = dR_jj ;
elif getattr( self.InputTree_, "JetPFCorVBFTag_bDiscriminatorCSV" )[iJet] <= 0.679 and dR_jj < math.fabs(dR_ca8_jet) :
dR_ca8_jet = dR_jj ;
### 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));
### number of jets in the opposite emisphere of the lepton passing csvl
self.ttb_nak5_oppo_csvl_[0] = int(len(index_ak5_in_oppoHemi_csvl));
### number of jets in the opposite emisphere of the lepton passing csvm
self.ttb_nak5_oppo_csvm_[0] = int(len(index_ak5_in_oppoHemi_csvm));
### number of jets in the opposite emisphere of the lepton passing csvt
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));
### jet quantities
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];
### dR between W-jet and closer jet or bjet outside its cone
self.ttb_dR_ca8_bjet_closer_[0] = dR_ca8_bjet ;
self.ttb_dR_ca8_jet_closer_[0] = dR_ca8_jet ;
### some generator info
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];
### invariant mass of the full system
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.SetPxPyPzE(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.SetPxPyPzE(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.SetPxPyPzE(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 hemisphere wrt to the lepton
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: ## default value for non ttbar events
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_dR_ca8_bjet_closer_[0] = -999 ;
self.ttb_dR_ca8_jet_closer_[0] = -999 ;
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 used to define flag for final signal region and ttbar control region definition ##############
#########################################################################################################################
leptonCut = 30 ;
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 external file
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 and cps 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.interference_Weight_H600_up_[0] = self.complexpolewtggH600*getattr(self.InputTree_,"interferencewt_upggH600")/self.avecomplexpolewtggH600;
self.interference_Weight_H600_dn_[0] = self.complexpolewtggH600*getattr(self.InputTree_,"interferencewt_downggH600")/self.avecomplexpolewtggH600;
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.interference_Weight_H700_up_[0] = self.complexpolewtggH700*getattr(self.InputTree_,"interferencewt_upggH700")/self.avecomplexpolewtggH700;
self.interference_Weight_H700_dn_[0] = self.complexpolewtggH700*getattr(self.InputTree_,"interferencewt_downggH700")/self.avecomplexpolewtggH700;
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.interference_Weight_H800_up_[0] = self.complexpolewtggH800*getattr(self.InputTree_,"interferencewt_upggH800")/self.avecomplexpolewtggH800;
self.interference_Weight_H800_dn_[0] = self.complexpolewtggH800*getattr(self.InputTree_,"interferencewt_downggH800")/self.avecomplexpolewtggH800;
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.interference_Weight_H900_up_[0] = self.complexpolewtggH900*getattr(self.InputTree_,"interferencewt_upggH900")/self.avecomplexpolewtggH900;
self.interference_Weight_H900_dn_[0] = self.complexpolewtggH900*getattr(self.InputTree_,"interferencewt_downggH900")/self.avecomplexpolewtggH900;
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.interference_Weight_H1000_up_[0] = self.complexpolewtggH1000*getattr(self.InputTree_,"interferencewt_upggH1000")/self.avecomplexpolewtggH1000;
self.interference_Weight_H1000_dn_[0] = self.complexpolewtggH1000*getattr(self.InputTree_,"interferencewt_downggH1000")/self.avecomplexpolewtggH1000;
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 filled in the tree for the right mass
curIntfRw_up = getattr(self.InputTree_,"interferencewt_upggH%03d"%(self.SignalMass_)); ## take the interference value filled in the tree for the right mass
curIntfRw_dn = getattr(self.InputTree_,"interferencewt_downggH%03d"%(self.SignalMass_)); ## take the interference value filled in the tree for the right mass
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"); ## generator level higgs properties will be stored in the otree
if self.isVBF_: ## if is vbf signal, also tag jet quark info stored
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 iPar in range(len(self.cprimeVals)): ## run over the possible value of the new couplig constant and BR
for jPar in range(len(self.brnewVals)):
curCprime = float(self.cprimeVals[iPar])/10.; ## take the c' value
curBRnew = float(self.brnewVals[jPar])/10.; ## take the BRnew value
if self.isVBF_:
### for VBF signal the bsmReweights is given just by the value returned by GetInteferenceWeights
self.bsmReweights[iPar][jPar][0] = self.GetInteferenceWeights( getattr(self.InputTree_,"W_H_mass_gen"), curCprime, curBRnew, rwCPS);
self.bsmReweights_up[iPar][jPar][0] = self.GetInteferenceWeights( getattr(self.InputTree_,"W_H_mass_gen"), curCprime, curBRnew, rwCPS);
self.bsmReweights_dn[iPar][jPar][0] = self.GetInteferenceWeights( getattr(self.InputTree_,"W_H_mass_gen"), curCprime, curBRnew, rwCPS);
else:
### for ggH signal the bsmReweights is given by the value returned by GetInteferenceWeights * IntfRescale
self.bsmReweights[iPar][jPar][0] = self.GetInteferenceWeights(getattr(self.InputTree_,"W_H_mass_gen"),curCprime,curBRnew,rwCPS)*IntfRescale(curIntfRw,curCprime,curBRnew);
self.bsmReweights_up[iPar][jPar][0] = self.GetInteferenceWeights(getattr(self.InputTree_,"W_H_mass_gen"),curCprime,curBRnew,rwCPS)*IntfRescale(curIntfRw_up,curCprime,curBRnew);
self.bsmReweights_dn[iPar][jPar][0] = self.GetInteferenceWeights(getattr(self.InputTree_,"W_H_mass_gen"),curCprime,curBRnew,rwCPS)*IntfRescale(curIntfRw_dn,curCprime,curBRnew);
else:
### default values for generator info
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 iPar in range(len(self.cprimeVals)): ## set to -1
for jPar in range(len(self.brnewVals)):
self.bsmReweights[iPar][jPar][0] = -1;
self.bsmReweights_up[iPar][jPar][0] = -1;
self.bsmReweights_dn[iPar][jPar][0] = -1;
################ 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" );
################# 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();
######## W-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];
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" );
#### some generator information
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_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" );
# if qjetmassdistribution != 0 :
# 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];
######################################################################################
### CA8 jet collection -> scale up and down for the jet energy scale uncertainty ####
######################################################################################
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 ); ## inflate the uncertainty for the difference between ca8 and ak7
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); ## original jet 4V after pruning
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); ## scaled up jet
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); ## scaled down jet
self.jet_mass_pr_jes_up_[0] = jdef_up.M(); ## mass pruned up
self.jet_mass_pr_jes_dn_[0] = jdef_dn.M(); ## mass pruned dwon
jorig_pt = getattr( self.InputTree_, prefix + "_pt" )[0];
jorig_eta = getattr( self.InputTree_, prefix + "_eta" )[0];
jorig_phi = getattr( self.InputTree_, prefix + "_phi" )[0];
jorig_e = getattr( self.InputTree_, prefix + "_e" )[0];
jdef_ptetaphie.SetPtEtaPhiE(jorig_pt, jorig_eta, jorig_phi, jorig_e); ## original jet 4V after pruning
jdef_up.SetPxPyPzE(jdef_ptetaphie.Px() * self.curjes_up, jdef_ptetaphie.Py() * self.curjes_up,
jdef_ptetaphie.Pz() * self.curjes_up, jdef_ptetaphie.E() * self.curjes_up); ## scaled up jet
jdef_dn.SetPxPyPzE(jdef_ptetaphie.Px() * self.curjes_dn, jdef_ptetaphie.Py() * self.curjes_dn,
jdef_ptetaphie.Pz() * self.curjes_dn, jdef_ptetaphie.E() * self.curjes_dn); ## scaled down jet
self.ungroomed_jet_pt_jes_up_[0] = jdef_up.Pt(); ## ungroomed pt up
self.ungroomed_jet_pt_jes_dn_[0] = jdef_dn.Pt(); ## ungroomed pt down
############################################################################
### CA8 jet collection -> smear for the jet energy resolution uncertainty #
############################################################################
## Match the reco selected W candidate with the gen ones:
smearFactor = 1.;
smearError = 0.;
smearFactor_up = 1.;
smearFactor_dn = 1.;
x = math.fabs(jdef_ptetaphie.Eta());
y = jdef_ptetaphie.Pt();
if( x > self.histoJERC_.GetXaxis().GetXmin() and x < self.histoJERC_.GetXaxis().GetXmax() and
y > self.histoJERC_.GetYaxis().GetXmin() and y < self.histoJERC_.GetYaxis().GetXmax()):
bin = self.histoJERC_.FindBin(x,y);
smearFactor += self.histoJERC_.GetBinContent(bin)-1.;
smearError = self.histoJERC_.GetBinError(bin);
smearFactor_up = smearFactor+smearFactor*smearError ;
smearFactor_dn = smearFactor-smearFactor*smearError ;
smearedEnergy = jdef_ptetaphie.E();
smearedEnergy_up = jdef_ptetaphie.E();
smearedEnergy_dn = jdef_ptetaphie.E();
if(math.fabs(jdef_ptetaphie.Eta())<0.5):
if(smearFactor > 1 ):
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(smearFactor*smearFactor-1)));
else :
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(1-smearFactor*smearFactor)));
if(smearFactor_up > 1 ):
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(smearFactor_up*smearFactor_up-1)));
else :
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(1-smearFactor_up*smearFactor_up)));
if(smearFactor_dn > 1 ):
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(smearFactor_dn*smearFactor_dn-1)));
else :
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[0]*math.sqrt(1-smearFactor_dn*smearFactor_dn)));
elif(math.fabs(jdef_ptetaphie.Eta())>= 0.5 and math.fabs(jdef_ptetaphie.Eta())<1.0):
if(smearFactor > 1 ):
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(smearFactor*smearFactor-1)));
else :
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(1-smearFactor*smearFactor)));
if(smearFactor_up > 1 ):
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(smearFactor_up*smearFactor_up-1)));
else :
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(1-smearFactor_up*smearFactor_up)));
if(smearFactor_dn > 1 ):
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(smearFactor_dn*smearFactor_dn-1)));
else :
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[1]*math.sqrt(1-smearFactor_dn*smearFactor_dn)));
elif(math.fabs(jdef_ptetaphie.Eta())>= 1.0 and math.fabs(jdef_ptetaphie.Eta())<1.5):
if(smearFactor > 1 ):
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(smearFactor*smearFactor-1)));
else :
smearedEnergy = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(1-smearFactor*smearFactor)));
if(smearFactor_up > 1 ):
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(smearFactor_up*smearFactor_up-1)));
else :
smearedEnergy_up = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(1-smearFactor_up*smearFactor_up)));
if(smearFactor_dn > 1 ):
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(smearFactor_dn*smearFactor_dn-1)));
else :
smearedEnergy_dn = jdef_ptetaphie.E()*(1+self.Random_.Gaus(0.,self.jetResolutionMC_CA8_[2]*math.sqrt(1-smearFactor_dn*smearFactor_dn)));