void plotVariation(TH1F *nom, TH1F *up, TH1F *down, string phoCat, string name){
TCanvas *canv = new TCanvas();
canv->SetWindowSize(750,750);
canv->SetCanvasSize(750,750);
gStyle->SetOptStat(0);
nom->SetLineWidth(3);
nom->SetLineColor(kBlack);
up->SetLineWidth(2);
up->SetLineColor(kBlue);
down->SetLineWidth(2);
down->SetLineColor(kRed);
double max=0.;
max = nom->Integral()/(sqrt(2*TMath::Pi())*0.7)*nom->GetBinWidth(1);
/// max = TMath::Max(max,nom->GetMaximum());
/// max = TMath::Max(max,up->GetMaximum());
/// max = TMath::Max(max,down->GetMaximum());
nom->GetYaxis()->SetRangeUser(0,max*1.1);
up->GetYaxis()->SetRangeUser(0,max*1.1);
down->GetYaxis()->SetRangeUser(0,max*1.1);
nom->GetXaxis()->SetRangeUser(mh_-10,mh_+10);
up->GetXaxis()->SetRangeUser(mh_-10,mh_+10);
down->GetXaxis()->SetRangeUser(mh_-10,mh_+10);
nom->GetXaxis()->SetTitle("m_{#gamma#gamma} (GeV)");
up->GetXaxis()->SetTitle("m_{#gamma#gamma} (GeV)");
down->GetXaxis()->SetTitle("m_{#gamma#gamma} (GeV)");
nom->SetTitle(Form("%s_%s",name.c_str(),phoCat.c_str()));
up->SetTitle(Form("%s_%s",name.c_str(),phoCat.c_str()));
down->SetTitle(Form("%s_%s",name.c_str(),phoCat.c_str()));
TLegend *leg = new TLegend(0.6,0.6,0.89,0.89);
leg->SetFillColor(0);
leg->SetLineColor(0);
leg->AddEntry(nom,"Nominal","L");
if (quadInterpolate_!=0) {
leg->AddEntry(up,Form("+%d#sigma",quadInterpolate_),"L");
leg->AddEntry(down,Form("-%d#sigma",quadInterpolate_),"L");
}
else {
leg->AddEntry(up,"+1#sigma","L");
leg->AddEntry(down,"-1#sigma","L");
}
nom->Draw("HIST");
up->Draw("HISTsame");
down->Draw("HISTsame");
nom->Draw("HISTsame");
leg->Draw();
canv->Print(Form("%s/systematics/%s_%s.pdf",plotDir_.c_str(),name.c_str(),phoCat.c_str()));
canv->Print(Form("%s/systematics/%s_%s.png",plotDir_.c_str(),name.c_str(),phoCat.c_str()));
}
void corrLaser()
{
const Int_t kXtals = 1700;
gStyle->SetTitleFontSize(0.06);
//gStyle->SetStatFontSize(0.04);
gStyle->SetStatColor(10);
gStyle->SetTitleFillColor(10);
gStyle->SetCanvasColor(10);
// gStyle->SetOptStat("e");
gStyle->SetOptStat(111111);
gStyle->SetOptFit(1001);
gStyle->SetPaperSize(20,26);
//gStyle->SetStatH(0.10);
//gStyle->SetStatW(0.08);
gStyle->SetStatH(0.15);
gStyle->SetStatW(0.25);
TFile* fout = new TFile("corrBeam.root","recreate");
hRatio126laser = new TH1F("hRatio126laser","SM6, Gain ratio x12/x6",
50, 1.85, 2.05);
hRatio126TP = new TH1F("hRatio126TP","SM6, Gain ratio x12/x6",
50, 1.85, 2.05);
hCorr126 = new TH2F("hCorr126","SM6, Gain ratio x12/x6 corr.",
50,1.9, 2.02,50, 1.9, 2.02);
hDiff126 = new TH1F("hDiff126","SM6, Gain ratio x12/x6 diff.",
50, -0.015,0.025);
TCanvas cPrint("cPrint");
// Double_t ratio121TP[kXtals];
Double_t ratio126laser[kXtals];
Double_t ratio126TP[kXtals];
Double_t ratio121TP[kXtals];
for(Int_t iXtal = 0; iXtal < kXtals; iXtal++) {
ratio126laser[iXtal] = 0.;
ratio126TP[iXtal] = 0.;
}
// Open laser ratio file
ifstream fRatioInput;
fRatioInput.open("relgain_laser.out");
if(!fRatioInput.is_open()) {
cout << "can't open laser Ratio file " << endl;
return;
}
for(Int_t i = 0; !fRatioInput.eof(); i++) {
Int_t Xtal,iXtal;
Double_t ratio126, error;
fRatioInput >> Xtal >> iXtal >> ratio126 >> error;
ratio126laser[iXtal - 1] = ratio126;
// cout << iXtal << " " << ratio126laser[iXtal - 1] << endl;
}
fRatioInput.close();
// Open Test Pulse ratio file
ifstream fRatioInput;
fRatioInput.open("TestPulse_gainratio_SM06.txt");
if(!fRatioInput.is_open()) {
cout << "can't open old Ratio file " << endl;
return;
}
for(Int_t iXtal = 0; !fRatioInput.eof(); iXtal++) {
Int_t Xtal;
fRatioInput >> Xtal >> ratio121TP[iXtal] >> ratio126TP[iXtal];
if(Xtal != iXtal + 1) cout << " pb Xtal " << Xtal << " " << iXtal << endl;
cout << iXtal << " " << ratio126TP[iXtal] << endl;
}
fRatioInput.close();
for(Int_t iXtal = 0; iXtal < kXtals; iXtal++) {
if (ratio126laser[iXtal] != 0) {
hRatio126laser->Fill(ratio126laser[iXtal]);
hRatio126TP->Fill(ratio126TP[iXtal]);
hCorr126->Fill(ratio126laser[iXtal], ratio126TP[iXtal]);
hDiff126->
Fill((ratio126laser[iXtal]-ratio126TP[iXtal])/ratio126laser[iXtal]);
// cout << iXtal << " " << ratio126laser[iXtal] << " " << ratio126TP[iXtal]
// << endl;
}
}
TLegend* legend1 = new TLegend(0.15,0.75,0.35,0.85);
legend1->SetBorderSize(1);
legend1->SetFillColor(0);
legend1->SetTextSize(0.03);
legend1->SetTextFont(42);
TCanvas* cRatio = new TCanvas("cRatio", "cRatio");
cRatio->SetCanvasSize(630,885);
cRatio->Divide(1,2);
cRatio->cd(1);
hRatio126laser->Draw();
gPad->Update();
TPaveStats* st1 =
(TPaveStats*)hRatio126laser->GetListOfFunctions()->FindObject("stats");
st1->SetLineColor(3);
hRatio126laser->SetFillColor(3);
hRatio126laser->GetYaxis()->SetTitle("# Xtals");
legend1->AddEntry(hRatio126laser, "laser","f");
hRatio126laser->Write();
hRatio126TP->Draw("sames");
gPad->Update();
TPaveStats* st2 =
(TPaveStats*)hRatio126TP->GetListOfFunctions()->FindObject("stats");
st2->SetLineColor(4);
hRatio126TP->SetFillColor(4);
hRatio126TP->GetYaxis()->SetTitle("# Xtals");
legend1->AddEntry(hRatio126TP, "TestPulse","f");
legend1->Draw();
cRatio->Modified();
hRatio126TP->Write();
gPad->Print("hRatio126TP.eps");
cRatio->Write("cRatio");
// cRatio->Print("corrBeam.ps(");
TCanvas* cRatio = new TCanvas("cRatio","Gain Ratio");
cRatio->SetCanvasSize(630,885);
cRatio->Divide(1,2);
cRatio->cd(1);
hCorr126->SetMarkerStyle(20);
hCorr126->Draw();
hCorr126->GetXaxis()->SetTitle("laser");
hCorr126->GetYaxis()->SetTitle("TestPulse");
TLine* l = new TLine(1.9,1.9,2.02,2.02);
l->SetLineColor(2);
l->SetLineWidth(3);
l->Draw();
cRatio->Update();
gPad->Print("hCorr126.eps");
cRatio->cd(2);
hDiff126->Draw();
// hDiff126->GetXaxis()->SetTitle("(Weights 6 - Weights 12)/Weights 6");
hDiff126->GetXaxis()->SetTitle("(laser - TestPulse)/laser");
hDiff126->GetYaxis()->SetTitle("# Xtals");
hDiff126->SetFillColor(5);
gPad->Print("hDiff126.eps");
cRatio->Print("corrBeam.ps");
fout->Write();
fout->Close();
gROOT->ProcessLine(".q");
}
void determineWorkingPoint(TString algo="csv",TString baseURL="~/scratch0/top-nosyst/plotter.root")
{
float workPoint(0.244);
float sfb(1.020), sfberr(0.04); //from BTV-11-003
float sflight(1.08), sflighterr(0.13); //from BTV-11-002
// float sfb(0.99), sfberr(0.099); //from BTV-11-001
// float sflight(1.07882), sflighterr(0.244); //from BTV-11-001
if(algo=="tche")
{
workPoint=1.7;
sfb=0.95; sfberr=0.095;
sflight=1.08018; sflighterr=0.1125;
}
TObjArray bjets=getDistributionFromPlotter(algo+"b",baseURL);
TObjArray lightjets=getDistributionFromPlotter(algo+"light",baseURL);
TH1F *bDisc=(TH1F *) bjets.At(1);
TH1F *lightDisc=(TH1F *) lightjets.At(1);
setStyle();
gStyle->SetOptFit(0);
TCanvas *cnv = getNewCanvas("c","c",false);
cnv->Clear();
cnv->SetCanvasSize(1200,1200);
cnv->SetWindowSize(1200,1200);
cnv->Divide(2,2);
//draw the discriminator
TPad *p = (TPad *)cnv->cd(1);
bDisc->SetTitle("b");
bDisc->SetLineColor(1);
bDisc->SetMarkerColor(1);
bDisc->SetMarkerStyle(20);
bDisc->SetFillStyle(0);
bDisc->DrawNormalized("histe1");
lightDisc->SetLineColor(1);
lightDisc->SetMarkerColor(1);
lightDisc->SetMarkerStyle(24);
lightDisc->SetFillStyle(0);
lightDisc->SetTitle("udcsg");
lightDisc->DrawNormalized("histe1same");
TLegend *leg=p->BuildLegend();
formatForCmsPublic(p,leg,"CMS simulation",2);
//draw the b/light efficiencies
p=(TPad *)cnv->cd(2);
p->SetLogy();
TGraphAsymmErrors *bEff = getEfficiencyFrom(bDisc);
TGraphAsymmErrors *lightEff = getEfficiencyFrom(lightDisc);
bEff->SetMarkerStyle(20);
bEff->SetFillStyle(0);
bEff->Draw("ap");
bEff->GetXaxis()->SetTitle(bDisc->GetXaxis()->GetTitle());
bEff->GetYaxis()->SetTitle("Efficiency");
lightEff->SetMarkerStyle(24);
lightEff->SetFillStyle(0);
lightEff->Draw("p");
//draw relatively to a given working point
p=(TPad *)cnv->cd(3);
Double_t baseBEff=bEff->Eval(workPoint);
TGraphAsymmErrors *relBEff=new TGraphAsymmErrors;
relBEff->SetMarkerStyle(20);
relBEff->SetFillStyle(0);
Double_t baseLightEff=lightEff->Eval(workPoint);
TGraphAsymmErrors *relLightEff=new TGraphAsymmErrors;
relLightEff->SetMarkerStyle(24);
relLightEff->SetFillStyle(0);
for(int ip=0; ip<bEff->GetN(); ip++)
{
Double_t cut, y,ey;
bEff->GetPoint(ip,cut,y); ey = bEff->GetErrorY(ip);
Double_t relEff(y/baseBEff);
if(relEff<sfb+2*sfberr && relEff>sfb-2*sfberr)
{
int ipt=relBEff->GetN();
relBEff->SetPoint(ipt,cut,relEff);
relBEff->SetPointError(ipt,0,0,ey/baseBEff,ey/baseBEff);
}
lightEff->GetPoint(ip,cut,y); ey = lightEff->GetErrorY(ip);
relEff=y/baseLightEff;
// if(relEff<sflight+7*sflighterr && relEff>sflight-7*sflighterr)
if(relEff<sflight+3*sflighterr && relEff>sflight-3*sflighterr)
{
int ipt=relLightEff->GetN();
relLightEff->SetPoint(ipt,cut,relEff);
relLightEff->SetPointError(ipt,0,0,ey/baseLightEff,ey/baseLightEff);
}
}
relLightEff->Draw("ap");
relLightEff->GetXaxis()->SetTitle( bDisc->GetXaxis()->GetTitle() );
relLightEff->GetYaxis()->SetTitle( "#varepsilon/#varepsilon_{0}" );
relLightEff->Fit("expo","Q+");
TF1 *ffunc=relLightEff->GetFunction("expo");
float newLightCut=(TMath::Log(sflight)-ffunc->GetParameter(0))/ffunc->GetParameter(1);
float newLightCutErrPlus=(TMath::Log(sflight+sflighterr)-ffunc->GetParameter(0))/ffunc->GetParameter(1)-newLightCut;
float newLightCutErrMinus=(TMath::Log(sflight-sflighterr)-ffunc->GetParameter(0))/ffunc->GetParameter(1)-newLightCut;
TArrow *lightArrow = new TArrow(newLightCut, sflight-3*sflighterr, newLightCut, sflight-3*sflighterr*0.8, 0.02, "<|");
lightArrow->SetLineColor(kGray+2);
lightArrow->SetFillColor(kGray+2);
lightArrow->Draw("SAME <|");
relBEff->Draw("p");
relBEff->Fit("expo","Q+");
ffunc=relBEff->GetFunction("expo");
float newBCut=(TMath::Log(sfb)-ffunc->GetParameter(0))/ffunc->GetParameter(1);
float newBCutErrPlus=(TMath::Log(sfb+sfberr)-ffunc->GetParameter(0))/ffunc->GetParameter(1)-newBCut;
float newBCutErrMinus=(TMath::Log(sfb-sfberr)-ffunc->GetParameter(0))/ffunc->GetParameter(1)-newBCut;
cout << sfb << " " << sfb+sfberr << " " << sfb-sfberr << endl;
TArrow *bArrow = new TArrow(newBCut, sflight-3*sflighterr, newBCut, sflight-3*sflighterr*0.8, 0.02, "<|");
bArrow->Draw("SAME <|");
//draw epsilon_b vs epsilon_q
p=(TPad *)cnv->cd(4);
p->SetLogy();
TGraphAsymmErrors *perf=new TGraphAsymmErrors;
perf->SetName("algoperformance");
perf->SetMarkerStyle(20);
perf->SetFillStyle(0);
for(int ip=0; ip<bEff->GetN(); ip++)
{
Double_t cut;
Double_t x,ex; bEff->GetPoint(ip,cut,x); ex = bEff->GetErrorY(ip);
Double_t y,ey; lightEff->GetPoint(ip,cut,y); ey = lightEff->GetErrorY(ip);
perf->SetPoint(ip,x,y);
perf->SetPointError(ip,ex,ex,ey,ey);
}
perf->Draw("ap");
perf->GetXaxis()->SetTitle( bEff->GetTitle() );
perf->GetYaxis()->SetTitle( lightEff->GetTitle() );
//new performance expected after applying the new cuts
TGraphAsymmErrors *newperf=new TGraphAsymmErrors;
newperf->SetName("newalgoperformance");
newperf->SetMarkerStyle(24);
newperf->SetFillStyle(0);
newperf->SetLineWidth(2);
newperf->SetLineColor(kRed);
newperf->SetLineColor(kRed);
newperf->SetPoint(0,baseBEff*sfb,baseLightEff*sflight);
newperf->SetPointError(0,baseBEff*sfberr,baseBEff*sfberr,baseLightEff*sflighterr,baseLightEff*sflighterr);
newperf->Draw("p");
cnv->Modified();
cnv->Update();
cnv->SaveAs("discFlavor.C");
cnv->SaveAs("discFlavor.png");
cout << "[determineWorkingPoint]" << endl
<< "To emulate the measured scale-factors you can use the following new cuts per jet flavor" << endl
<< "SF-b : " << newBCut << " +" << newBCutErrPlus << " " << newBCutErrMinus << endl
<< "SF-light : " << newLightCut << " +" << newLightCutErrPlus << " " << newLightCutErrMinus << endl;
}
int main(int argc, char* argv[]) {
TH1::SetDefaultSumw2();
ProgramOptions options(argc, argv);
double lumi = options.lumi;
std::cout << "Integrated luminosity : " << lumi << " pb-1" << std::endl;
Datasets datasets(options.iDir);
datasets.readFile(options.datasetFile);
LeptonWeights lw;
// cuts
Cuts cuts;
TCut puWeight("puWeight");
TCut trigCorr( "(trigCorrWeight>0) ? trigCorrWeight : 1." );
// For lepton weights
TCut elTightWeight = cuts.elTightWeight(options.leptCorr);
TCut muTightWeight = cuts.muTightWeight(options.leptCorr);
TCut leptonTightWeight = elTightWeight * muTightWeight;
// ok to use muon and electron tight weights in control regions, since we use a lepton veto, so you would have a muon weight = 1
TCut elVetoWeight = cuts.elVetoWeight(options.leptCorr);
TCut muVetoWeight = cuts.muVetoWeight(options.leptCorr);
TCut leptonVetoWeight = elVetoWeight * muVetoWeight;
TCut otherCutsTight = puWeight * trigCorr * leptonTightWeight;
TCut otherCutsVeto = puWeight * trigCorr * leptonVetoWeight;
TCut cutSignalNoMETNoDPhi = cuts.HLTandMETFilters() + cuts.leptonVeto() + cuts.vbf();
// Tau cuts
// Get puWeight etc added below if necessary
// standard TightMjj selection - essentially signal selection but no DPhiJJ and no cjv
TCut cutTightMjj_basic = cuts.HLTandMETFilters() + cuts.cutWTau("lVeto") + cuts.cutWTau("dijet") + cuts.cutWTau("dEtaJJ") + cuts.cutWTau("MET") + cuts.cutWTau("Mjj");
TCut cutwElnoMjj = cuts.cutWEl("trigger")+ cuts.cutWEl("wEl")+cuts.cutWEl("lVeto")+cuts.cutWEl("dijet")+cuts.cutWEl("dEtaJJ")+cuts.cutWEl("MET")+cuts.cutWEl("CJV")+cuts.cutWEl("dPhiJJ"); //for W->el regions
TCut cutTightMjj(""); // used to add in PU, trig corr, wWeight etc
// double dphiEdges[4] = { 0., 1.0, 2.6, TMath::Pi() };
double dphiEdges[5] = { 0., 1.0, 1.8, 2.6, TMath::Pi() };
double MjjEdges[5] = { 800., 1000., 1200., 1800., 3000. };
double METEdges[5] = { 100., 150., 200., 250., 300. };
//double CenJetEtEdges[5] = { 10., 40., 70., 120. ,200};
double CenJetEtEdges[5] = { 10., 30., 60., 100., 150.};
TH1D* hWEl_MCGen_DPhi = new TH1D("hWEl_MCGen_DPhi", "", 1, 0,1); // W+jets MC gen level el
TH1D* hWTau_MCGen_DPhi = new TH1D("hWTau_MCGen_DPhi", "", 1, 0,1); // W+jets MC gen level Tau - for ID
// DPhiJJ histograms
// WEl histograms
TH1D* hWEl_MCC_DPhi = new TH1D("hWEl_MCC_DPhi", "", 4, dphiEdges); // W+jets MC el ctrl region
TH1D* hWEl_BGC_DPhi = new TH1D("hWEl_BGC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hWEl_DataC_DPhi = new TH1D("hWEl_DataC_DPhi", "", 4, dphiEdges); // Data ctrl region
// WTau histograms
TH1D* hWTau_MCC_DPhi = new TH1D("hWTau_MCC_DPhi", "", 4, dphiEdges); // W+jets MC tau ctrl region - for CJV ratio
TH1D* hWTau_BGC_DPhi = new TH1D("hWTau_BGC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hWTau_DataC_DPhi = new TH1D("hWTau_DataC_DPhi", "", 4, dphiEdges); // Data ctrl region
// Mjj histograms
// WEl histograms
TH1D* hWEl_MCC_Mjj = new TH1D("hWEl_MCC_Mjj", "", 4, MjjEdges); // W+jets MC el ctrl region
TH1D* hWEl_BGC_Mjj = new TH1D("hWEl_BGC_Mjj", "", 4, MjjEdges); // background MC ctrl region
TH1D* hWEl_DataC_Mjj = new TH1D("hWEl_DataC_Mjj", "", 4, MjjEdges); // Data ctrl region
// WTau histograms
TH1D* hWTau_MCC_Mjj = new TH1D("hWTau_MCC_Mjj", "", 4, MjjEdges); // W+jets MC tau ctrl region - for CJV ratio
TH1D* hWTau_BGC_Mjj = new TH1D("hWTau_BGC_Mjj", "", 4, MjjEdges); // background MC ctrl region
TH1D* hWTau_DataC_Mjj = new TH1D("hWTau_DataC_Mjj", "", 4, MjjEdges); // Data ctrl region // Mjj histograms
// MET histograms
// WEl histograms
TH1D* hWEl_MCC_MET = new TH1D("hWEl_MCC_MET", "", 4, METEdges); // W+jets MC el ctrl region
TH1D* hWEl_BGC_MET = new TH1D("hWEl_BGC_MET", "", 4, METEdges); // background MC ctrl region
TH1D* hWEl_DataC_MET = new TH1D("hWEl_DataC_MET", "", 4, METEdges); // Data ctrl region
// WTau histograms
TH1D* hWTau_MCC_MET = new TH1D("hWTau_MCC_MET", "", 4, METEdges); // W+jets MC tau ctrl region - for CJV ratio
TH1D* hWTau_BGC_MET = new TH1D("hWTau_BGC_MET", "", 4, METEdges); // background MC ctrl region
TH1D* hWTau_DataC_MET = new TH1D("hWTau_DataC_MET", "", 4, METEdges); // Data ctrl region // MET histograms
// Central Jet Et histograms
// WEl histograms
TH1D* hWEl_MCC_CenJetEt = new TH1D("hWEl_MCC_CenJetEt", "", 4, CenJetEtEdges); // W+jets MC el ctrl region
TH1D* hWEl_BGC_CenJetEt = new TH1D("hWEl_BGC_CenJetEt", "", 4, CenJetEtEdges); // background MC ctrl region
TH1D* hWEl_DataC_CenJetEt = new TH1D("hWEl_DataC_CenJetEt", "", 4, CenJetEtEdges); // Data ctrl region
// WTau histograms
TH1D* hWTau_MCC_CenJetEt = new TH1D("hWTau_MCC_CenJetEt", "", 4, CenJetEtEdges); // W+jets MC tau ctrl region - for CJV ratio
TH1D* hWTau_BGC_CenJetEt = new TH1D("hWTau_BGC_CenJetEt", "", 4, CenJetEtEdges); // background MC ctrl region
TH1D* hWTau_DataC_CenJetEt = new TH1D("hWTau_DataC_CenJetEt", "", 4, CenJetEtEdges); // Data ctrl region
// loop over MC datasets
for (unsigned i=0; i<datasets.size(); ++i) {
Dataset dataset = datasets.getDataset(i);
TFile* file = datasets.getTFile(dataset.name);
TTree* tree = (TTree*) file->Get("invHiggsInfo/InvHiggsInfo");
// setup cuts
TCut wWeight("");
TCut cutD = cuts.cutDataset(dataset.name);
TCut cutWEl_Gen = cuts.wElGen();
TCut cutWTau_Gen = cuts.wTauGen();
TCut cutWEl_MCC_DPhi = cuts.wElGen() + cuts.wElVBF() + cuts.cutWEl("MET");
TCut cutWEl_C_DPhi = cutD + cuts.wElVBF() + cuts.cutWEl("MET"); // WEl MC control region; WEl MC gen only; control region for data/bg - all for DPhiJJ
TCut cutWTau_MCC_DPhi = cuts.wTauGen() + cutTightMjj_basic + cuts.cutWTau("wTau");
TCut cutWTau_C_DPhi = cutD + cutTightMjj_basic + cuts.cutWTau("wTau"); // WTau MC control region; WTau MC gen only; control region for data/bg - all for DPhiJJ
TCut cutWEl_MCC_Mjj = cuts.wElGen() + cutwElnoMjj;
TCut cutWEl_C_Mjj = cutD + cutwElnoMjj;
TCut cutWTau_MCC_Mjj = cuts.wTauGen() + cuts.cutWTau("wTau") + cuts.cutWTau("trigger") + cuts.cutWTau("lVeto") + cuts.cutWTau("dijet") + cuts.cutWTau("dEtaJJ") + cuts.cutWTau("MET") + cuts.cutWTau("dPhiJJ");
TCut cutWTau_C_Mjj = cutD + cuts.cutWTau("wTau") + cuts.cutWTau("trigger") + cuts.cutWTau("lVeto") + cuts.cutWTau("dijet") + cuts.cutWTau("dEtaJJ") + cuts.cutWTau("MET") + cuts.cutWTau("dPhiJJ");
TCut cutWEl_MCC_MET = cuts.wElGen() + cuts.wElVBF() + cuts.cutWEl("dPhiJJ");
TCut cutWEl_C_MET = cutD + cuts.wElVBF() + cuts.cutWEl("dPhiJJ");
TCut cutWTau_MCC_MET = cuts.wTauGen() + cuts.cutWTau("wTau") + cuts.cutWTau("trigger") + cuts.cutWTau("lVeto") + cuts.cutWTau("dijet") + cuts.cutWTau("dEtaJJ") + cuts.cutWTau("Mjj") + cuts.cutWTau("dPhiJJ");
TCut cutWTau_C_MET = cutD + cuts.cutWTau("wTau") + cuts.cutWTau("trigger") + cuts.cutWTau("lVeto") + cuts.cutWTau("dijet") + cuts.cutWTau("dEtaJJ") + cuts.cutWTau("Mjj") + cuts.cutWTau("dPhiJJ");
TCut cutWEl_MCC_CenJetEt = cuts.wElGen() + cuts.cutWEl("trigger") + cuts.cutWEl("lVeto") + cuts.cutWEl("wEl") + cuts.cutWEl("dijet") + cuts.cutWEl("dEtaJJ") + cuts.cutWEl("Mjj") + cuts.cutWEl("MET") + cuts.cutWEl("dPhiJJ");
TCut cutWEl_C_CenJetEt = cutD + cuts.cutWEl("trigger") + cuts.cutWEl("lVeto") + cuts.cutWEl("wEl") + cuts.cutWEl("dijet") + cuts.cutWEl("dEtaJJ") + cuts.cutWEl("Mjj") + cuts.cutWEl("MET") + cuts.cutWEl("dPhiJJ");
TCut cutWTau_MCC_CenJetEt = cuts.wTauGen() + cutTightMjj_basic + cuts.cutWTau("wTau") + cuts.cutWTau("dPhiJJ");
TCut cutWTau_C_CenJetEt = cutD + cutTightMjj_basic + cuts.cutWTau("wTau") + cuts.cutWTau("dPhiJJ");
// TEMP HISTS - DPhiJJ
TH1D* hWEl_MCGen_DPhi_tmp = new TH1D("hWEl_MCGen_DPhi_tmp", "",1, 0,1); // W+jets El MC gen
TH1D* hWTau_MCGen_DPhi_tmp = new TH1D("hWTau_MCGen_DPhi_tmp", "",1, 0,1); // W+jets Tau MC gen
// tmp histograms - WEl
TH1D* hWEl_MCC_DPhi_tmp = new TH1D("hWEl_MCC_DPhi_tmp", "",4,dphiEdges); // W+jets MC ctrl region
TH1D* hWEl_DataC_DPhi_tmp = new TH1D("hWEl_DataC_DPhi_tmp", "",4,dphiEdges); // Data in WEl ctrl region
TH1D* hWEl_BGC_DPhi_tmp = new TH1D("hWEl_BGC_DPhi_tmp", "",4,dphiEdges); //BG in WEl ctrl region
// tmp histograms - wTau
TH1D* hWTau_MCC_DPhi_tmp = new TH1D("hWTau_MCC_DPhi_tmp", "",4,dphiEdges); // W+jets MC ctrl region
TH1D* hWTau_DataC_DPhi_tmp = new TH1D("hWTau_DataC_DPhi_tmp", "",4,dphiEdges); // Data in WTau ctrl region
TH1D* hWTau_BGC_DPhi_tmp = new TH1D("hWTau_BGC_DPhi_tmp", "",4,dphiEdges); // BG in WTau ctrl region
// TEMP HISTS - Mjj
// tmp histograms - WEl
TH1D* hWEl_MCC_Mjj_tmp = new TH1D("hWEl_MCC_Mjj_tmp", "",4,MjjEdges); // W+jets MC ctrl region
TH1D* hWEl_DataC_Mjj_tmp = new TH1D("hWEl_DataC_Mjj_tmp", "",4,MjjEdges);
TH1D* hWEl_BGC_Mjj_tmp = new TH1D("hWEl_BGC_Mjj_tmp", "",4,MjjEdges);
// tmp histograms - wTau
TH1D* hWTau_MCC_Mjj_tmp = new TH1D("hWTau_MCC_Mjj_tmp", "",4,MjjEdges); // W+jets MC ctrl region
TH1D* hWTau_DataC_Mjj_tmp = new TH1D("hWTau_DataC_Mjj_tmp", "",4,MjjEdges);
TH1D* hWTau_BGC_Mjj_tmp = new TH1D("hWTau_BGC_Mjj_tmp", "",4,MjjEdges);
// TEMP HISTS - MET
// tmp histograms - WEl
TH1D* hWEl_MCC_MET_tmp = new TH1D("hWEl_MCC_MET_tmp", "",4,METEdges); // W+jets MC ctrl region
TH1D* hWEl_DataC_MET_tmp = new TH1D("hWEl_DataC_MET_tmp", "",4,METEdges);
TH1D* hWEl_BGC_MET_tmp = new TH1D("hWEl_BGC_MET_tmp", "",4,METEdges);
// tmp histograms - wTau
TH1D* hWTau_MCC_MET_tmp = new TH1D("hWTau_MCC_MET_tmp", "",4,METEdges); // W+jets MC ctrl region
TH1D* hWTau_DataC_MET_tmp = new TH1D("hWTau_DataC_MET_tmp", "",4,METEdges);
TH1D* hWTau_BGC_MET_tmp = new TH1D("hWTau_BGC_MET_tmp", "",4,METEdges);
// TEMP HISTS - CenJetEt
// tmp histograms - WEl
TH1D* hWEl_MCC_CenJetEt_tmp = new TH1D("hWEl_MCC_CenJetEt_tmp", "",4,CenJetEtEdges); // W+jets MC ctrl region
TH1D* hWEl_DataC_CenJetEt_tmp = new TH1D("hWEl_DataC_CenJetEt_tmp", "",4,CenJetEtEdges);
TH1D* hWEl_BGC_CenJetEt_tmp = new TH1D("hWEl_BGC_CenJetEt_tmp", "",4,CenJetEtEdges);
// tmp histograms - wTau
TH1D* hWTau_MCC_CenJetEt_tmp = new TH1D("hWTau_MCC_CenJetEt_tmp", "",4,CenJetEtEdges); // W+jets MC ctrl region
TH1D* hWTau_DataC_CenJetEt_tmp = new TH1D("hWTau_DataC_CenJetEt_tmp", "",4,CenJetEtEdges);
TH1D* hWTau_BGC_CenJetEt_tmp = new TH1D("hWTau_BGC_CenJetEt_tmp", "",4,CenJetEtEdges);
// Weight to lumi
double weight = (dataset.isData) ? 1. : (lumi * dataset.sigma / dataset.nEvents);
if(dataset.name == "EWK_ZvvFake") weight *= constants::ratioZToNuNuZToLL;
// check it's W+Jets
bool isWJets = false;
bool isEwkW = false;
if (dataset.name == "WJets" ||
dataset.name == "W1Jets" ||
dataset.name == "W2Jets" ||
dataset.name == "W3Jets" ||
dataset.name == "W4Jets" ||
dataset.name == "EWK_Wp2Jets" ||
dataset.name == "EWK_Wm2Jets") {
std::cout << "Analysing W MC : " << dataset.name << std::endl;
std::cout << " weight : " << weight << std::endl;
if (dataset.name == "EWK_Wp2Jets" || dataset.name == "EWK_Wm2Jets") isEwkW = true;
else isWJets = true;
if(isWJets) wWeight = cuts.wWeight();
// El cuts
tree->Draw("vbfDPhi>>hWEl_MCC_DPhi_tmp", otherCutsTight * wWeight * cutWEl_MCC_DPhi);
tree->Draw("0.5>>hWEl_MCGen_DPhi_tmp", otherCutsTight * wWeight * cutWEl_Gen);
tree->Draw("vbfM>>hWEl_MCC_Mjj_tmp", otherCutsTight * wWeight * cutWEl_MCC_Mjj);
tree->Draw("metNoWLepton>>hWEl_MCC_MET_tmp", otherCutsTight * wWeight * cutWEl_MCC_MET);
tree->Draw("cenJetEt>>hWEl_MCC_CenJetEt_tmp", otherCutsTight * wWeight * cutWEl_MCC_CenJetEt);
hWEl_MCC_DPhi_tmp->Scale(weight);
hWEl_MCGen_DPhi_tmp->Scale(weight);
hWEl_MCC_Mjj_tmp->Scale(weight);
hWEl_MCC_MET_tmp->Scale(weight);
hWEl_MCC_CenJetEt_tmp->Scale(weight);
// add to final histogram
hWEl_MCC_DPhi->Add(hWEl_MCC_DPhi_tmp);
hWEl_MCGen_DPhi->Add(hWEl_MCGen_DPhi_tmp);
hWEl_MCC_Mjj->Add(hWEl_MCC_Mjj_tmp);
hWEl_MCC_MET->Add(hWEl_MCC_MET_tmp);
hWEl_MCC_CenJetEt->Add(hWEl_MCC_CenJetEt_tmp);
tree->Draw("vbfDPhi>>hWTau_MCC_DPhi_tmp", otherCutsVeto * wWeight * cutWTau_MCC_DPhi);
tree->Draw("0.5>>hWTau_MCGen_DPhi_tmp", otherCutsVeto * wWeight * cutWTau_Gen);
tree->Draw("vbfM>>hWTau_MCC_Mjj_tmp", otherCutsVeto * wWeight * cutWTau_MCC_Mjj);
tree->Draw("met>>hWTau_MCC_MET_tmp", otherCutsVeto * wWeight * cutWTau_MCC_MET);
tree->Draw("cenJetEt>>hWTau_MCC_CenJetEt_tmp", otherCutsVeto * wWeight * cutWTau_MCC_CenJetEt);
hWTau_MCC_DPhi_tmp->Scale(weight);
hWTau_MCGen_DPhi_tmp->Scale(weight);
hWTau_MCC_Mjj_tmp->Scale(weight);
hWTau_MCC_MET_tmp->Scale(weight);
hWTau_MCC_CenJetEt_tmp->Scale(weight);
// add to final histogram
hWTau_MCC_DPhi->Add(hWTau_MCC_DPhi_tmp);
hWTau_MCGen_DPhi->Add(hWTau_MCGen_DPhi_tmp);
hWTau_MCC_Mjj->Add(hWTau_MCC_Mjj_tmp);
hWTau_MCC_MET->Add(hWTau_MCC_MET_tmp);
hWTau_MCC_CenJetEt->Add(hWTau_MCC_CenJetEt_tmp);
} else if (dataset.isData) {
std::cout << "Analysing Data : " << dataset.name << std::endl;
// El region
tree->Draw("vbfDPhi>>hWEl_DataC_DPhi_tmp", cutWEl_C_DPhi);
hWEl_DataC_DPhi->Add(hWEl_DataC_DPhi_tmp);
tree->Draw("vbfM>>hWEl_DataC_Mjj_tmp", cutWEl_C_Mjj);
hWEl_DataC_Mjj->Add(hWEl_DataC_Mjj_tmp);
tree->Draw("metNoWLepton>>hWEl_DataC_MET_tmp", cutWEl_C_MET);
hWEl_DataC_MET->Add(hWEl_DataC_MET_tmp);
tree->Draw("cenJetEt>>hWEl_DataC_CenJetEt_tmp", cutWEl_C_CenJetEt);
hWEl_DataC_CenJetEt->Add(hWEl_DataC_CenJetEt_tmp);
// Tau region
tree->Draw("vbfDPhi>>hWTau_DataC_DPhi_tmp", cutWTau_C_DPhi);
hWTau_DataC_DPhi->Add(hWTau_DataC_DPhi_tmp);
tree->Draw("vbfM>>hWTau_DataC_Mjj_tmp", cutWTau_C_Mjj);
hWTau_DataC_Mjj->Add(hWTau_DataC_Mjj_tmp);
tree->Draw("met>>hWTau_DataC_MET_tmp", cutWTau_C_MET);
hWTau_DataC_MET->Add(hWTau_DataC_MET_tmp);
tree->Draw("cenJetEt>>hWTau_DataC_CenJetEt_tmp", cutWTau_C_CenJetEt);
hWTau_DataC_CenJetEt->Add(hWTau_DataC_CenJetEt_tmp);
std::cout << " N ctrl region (dphi<1) : " << hWTau_DataC_DPhi_tmp->GetBinContent(1) << " +/- " << hWTau_DataC_DPhi_tmp->GetBinError(1) << std::endl;// debug output
} else {
std::cout << "Analysing BG MC : " << dataset.name << std::endl;
std::cout << " weight : " << weight << std::endl;
if (dataset.name.compare(0,17,"SignalM125_POWHEG")== 0 || dataset.name.compare(0,3,"QCD") == 0) continue;
if(dataset.name.compare(0,3,"Zvv") != 0 && dataset.name != "EWK_ZvvFake"){ // Don't need Zvv in WEl estimates
tree->Draw("vbfDPhi>>hWEl_BGC_DPhi_tmp", otherCutsTight * cutWEl_C_DPhi);
tree->Draw("vbfM>>hWEl_BGC_Mjj_tmp", otherCutsTight * cutWEl_C_Mjj);
tree->Draw("metNoWLepton>>hWEl_BGC_MET_tmp", otherCutsTight * cutWEl_C_MET);
tree->Draw("cenJetEt>>hWEl_BGC_CenJetEt_tmp", otherCutsTight * cutWEl_C_CenJetEt);
hWEl_BGC_DPhi_tmp->Scale(weight);
hWEl_BGC_Mjj_tmp->Scale(weight);
hWEl_BGC_MET_tmp->Scale(weight);
hWEl_BGC_CenJetEt_tmp->Scale(weight);
hWEl_BGC_DPhi->Add(hWEl_BGC_DPhi_tmp);
hWEl_BGC_Mjj->Add(hWEl_BGC_Mjj_tmp);
hWEl_BGC_MET->Add(hWEl_BGC_MET_tmp);
hWEl_BGC_CenJetEt->Add(hWEl_BGC_CenJetEt_tmp);
}
// Count number of tau in control region in bg mc
tree->Draw("vbfDPhi>>hWTau_BGC_DPhi_tmp", otherCutsVeto * cutWTau_C_DPhi);
tree->Draw("vbfM>>hWTau_BGC_Mjj_tmp", otherCutsVeto * cutWTau_C_Mjj);
tree->Draw("met>>hWTau_BGC_MET_tmp", otherCutsVeto * cutWTau_C_MET);
tree->Draw("cenJetEt>>hWTau_BGC_CenJetEt_tmp", otherCutsVeto * cutWTau_C_CenJetEt);
hWTau_BGC_DPhi_tmp->Scale(weight);
hWTau_BGC_Mjj_tmp->Scale(weight);
hWTau_BGC_MET_tmp->Scale(weight);
hWTau_BGC_CenJetEt_tmp->Scale(weight);
hWTau_BGC_DPhi->Add(hWTau_BGC_DPhi_tmp);
hWTau_BGC_Mjj->Add(hWTau_BGC_Mjj_tmp);
hWTau_BGC_MET->Add(hWTau_BGC_MET_tmp);
hWTau_BGC_CenJetEt->Add(hWTau_BGC_CenJetEt_tmp);
// debug output
std::cout << " N ctrl region (dphi<1) : " << hWTau_BGC_DPhi_tmp->GetBinContent(1) << " +/- " << hWTau_BGC_DPhi_tmp->GetBinError(1) << std::endl;
std::cout << " N ctrl region (MET) : " << hWTau_BGC_MET_tmp->GetBinContent(1) << " +/- " << hWTau_BGC_MET_tmp->GetBinError(1) << std::endl;
}
// debug output
// std::cout << " N ctrl region (dphi<1) : " << hWEl_C_DPhi->GetBinContent(1) << " +/- " << hWEl_C_DPhi->GetBinError(1) << std::endl;
delete hWEl_MCC_DPhi_tmp;
delete hWEl_MCGen_DPhi_tmp;
delete hWEl_DataC_DPhi_tmp;
delete hWEl_BGC_DPhi_tmp;
delete hWTau_MCC_DPhi_tmp;
delete hWTau_MCGen_DPhi_tmp;
delete hWTau_DataC_DPhi_tmp;
delete hWTau_BGC_DPhi_tmp;
delete hWEl_MCC_Mjj_tmp;
delete hWEl_DataC_Mjj_tmp;
delete hWEl_BGC_Mjj_tmp;
delete hWTau_MCC_Mjj_tmp;
delete hWTau_DataC_Mjj_tmp;
delete hWTau_BGC_Mjj_tmp;
delete hWEl_MCC_MET_tmp;
delete hWEl_DataC_MET_tmp;
delete hWEl_BGC_MET_tmp;
delete hWTau_MCC_MET_tmp;
delete hWTau_DataC_MET_tmp;
delete hWTau_BGC_MET_tmp;
delete hWEl_MCC_CenJetEt_tmp;
delete hWEl_DataC_CenJetEt_tmp;
delete hWEl_BGC_CenJetEt_tmp;
delete hWTau_MCC_CenJetEt_tmp;
delete hWTau_DataC_CenJetEt_tmp;
delete hWTau_BGC_CenJetEt_tmp;
file->Close();
} // end of datasets loop
//for (int i=1; i<=hWTau_BGC_DPhi->GetNbinsX(); ++i) hWTau_BGC_DPhi->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=hWEl_BGC_DPhi->GetNbinsX(); ++i) hWEl_BGC_DPhi->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=hWTau_BGC_MET->GetNbinsX(); ++i) hWTau_BGC_MET->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=hWEl_BGC_MET->GetNbinsX(); ++i) hWEl_BGC_MET->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=hWTau_BGC_CenJetEt->GetNbinsX(); ++i) hWTau_BGC_CenJetEt->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=hWEl_BGC_CenJetEt->GetNbinsX(); ++i) hWEl_BGC_CenJetEt->SetBinError(i,0.); // no stat error from mc
// W->el
TH1D* hWEl_EstC_DPhi = new TH1D("hWEl_EstC_DPhi", "", 4, dphiEdges); // n_data - n_bg in WEl control
hWEl_EstC_DPhi->Add(hWEl_DataC_DPhi, hWEl_BGC_DPhi, 1., -1.);
TH1D* hWEl_EstC_Mjj = new TH1D("hWEl_EstC_Mjj", "", 4, MjjEdges); // n_data - n_bg in WEl control
hWEl_EstC_Mjj->Add(hWEl_DataC_Mjj, hWEl_BGC_Mjj, 1., -1.);
TH1D* hWEl_EstC_MET = new TH1D("hWEl_EstC_MET", "", 4, METEdges); // n_data - n_bg in WEl control
hWEl_EstC_MET->Add(hWEl_DataC_MET, hWEl_BGC_MET, 1., -1.);
TH1D* hWEl_EstC_CenJetEt = new TH1D("hWEl_EstC_CenJetEt", "", 4, CenJetEtEdges); // n_data - n_bg in WEl control
hWEl_EstC_CenJetEt->Add(hWEl_DataC_CenJetEt, hWEl_BGC_CenJetEt, 1., -1.);
// W->Tau
TH1D* hWTau_EstC_DPhi = new TH1D("hWTau_EstC_DPhi", "", 4, dphiEdges); // n_data - n_bg in WTau control
hWTau_EstC_DPhi->Add(hWTau_DataC_DPhi, hWTau_BGC_DPhi, 1., -1.);
TH1D* hWTau_EstC_Mjj = new TH1D("hWTau_EstC_Mjj", "", 4, MjjEdges); // n_data - n_bg in WTau control
hWTau_EstC_Mjj->Add(hWTau_DataC_Mjj, hWTau_BGC_Mjj, 1., -1.);
TH1D* hWTau_EstC_MET = new TH1D("hWTau_EstC_MET", "", 4, METEdges); // n_data - n_bg in WTau control
hWTau_EstC_MET->Add(hWTau_DataC_MET, hWTau_BGC_MET, 1., -1.);
TH1D* hWTau_EstC_CenJetEt = new TH1D("hWTau_EstC_CenJetEt", "", 4, CenJetEtEdges); // n_data - n_bg in WTau control
hWTau_EstC_CenJetEt->Add(hWTau_DataC_CenJetEt, hWTau_BGC_CenJetEt, 1., -1.);
TH1D* h_RGEN = new TH1D("h_RGEN","",1,0,1.);
h_RGEN->Divide(hWEl_MCGen_DPhi,hWTau_MCGen_DPhi,1.,1.);
TH1D* h_RVBF_DPhi = new TH1D("h_RVBF_DPhi","",4,dphiEdges);
h_RVBF_DPhi->Divide(hWTau_MCC_DPhi,hWEl_MCC_DPhi,1.,1.);
TH1D* h_RVBF_Mjj = new TH1D("h_RVBF_Mjj","",4,MjjEdges);
h_RVBF_Mjj->Divide(hWTau_MCC_Mjj,hWEl_MCC_Mjj,1.,1.);
TH1D* h_RVBF_MET = new TH1D("h_RVBF_MET","",4,METEdges);
h_RVBF_MET->Divide(hWTau_MCC_MET,hWEl_MCC_MET,1.,1.);
TH1D* h_RVBF_CenJetEt = new TH1D("h_RVBF_CenJetEt","",4,CenJetEtEdges);
h_RVBF_CenJetEt->Divide(hWTau_MCC_CenJetEt,hWEl_MCC_CenJetEt,1.,1.);
//for (int i=1; i<=h_RGEN->GetNbinsX(); ++i)h_RGEN->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=h_RVBF_DPhi->GetNbinsX(); ++i) h_RVBF_DPhi->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=h_RVBF_MET->GetNbinsX(); ++i) h_RVBF_MET->SetBinError(i,0.); // no stat error from mc
//for (int i=1; i<=h_RVBF_CenJetEt->GetNbinsX(); ++i) h_RVBF_CenJetEt->SetBinError(i,0.); // no stat error from mc
TH1D* h_R_DPhi = new TH1D("h_R_DPhi","",4,dphiEdges);
TH1D* h_R_Mjj = new TH1D("h_R_Mjj","",4,MjjEdges);
TH1D* h_R_MET = new TH1D("h_R_MET","",4,METEdges);
TH1D* h_R_CenJetEt = new TH1D("h_R_CenJetEt","",4,CenJetEtEdges);
for (int ibin = 1; ibin <= h_R_DPhi->GetNbinsX(); ++ibin){
h_R_DPhi->SetBinContent(ibin, h_RVBF_DPhi->GetBinContent(ibin) * h_RGEN->GetBinContent(1));
h_R_DPhi->SetBinError(ibin, h_R_DPhi->GetBinContent(ibin) * sqrt(pow(h_RVBF_DPhi->GetBinError(ibin)/h_RVBF_DPhi->GetBinContent(ibin),2) + pow(h_RGEN->GetBinError(1)/ h_RGEN->GetBinContent(1),2)));
}
for (int ibin = 1; ibin <= h_R_Mjj->GetNbinsX(); ++ibin){
h_R_Mjj->SetBinContent(ibin, h_RVBF_Mjj->GetBinContent(ibin) * h_RGEN->GetBinContent(1));
h_R_Mjj->SetBinError(ibin, h_R_Mjj->GetBinContent(ibin) * sqrt(pow(h_RVBF_Mjj->GetBinError(ibin)/h_RVBF_Mjj->GetBinContent(ibin),2) + pow(h_RGEN->GetBinError(1)/ h_RGEN->GetBinContent(1),2)));
}
for (int ibin = 1; ibin <= h_R_MET->GetNbinsX(); ++ibin){
h_R_MET->SetBinContent(ibin, h_RVBF_MET->GetBinContent(ibin) * h_RGEN->GetBinContent(1));
h_R_MET->SetBinError(ibin, h_R_MET->GetBinContent(ibin) * sqrt(pow(h_RVBF_MET->GetBinError(ibin)/h_RVBF_MET->GetBinContent(ibin),2) + pow(h_RGEN->GetBinError(1)/ h_RGEN->GetBinContent(1),2)));
}
for (int ibin = 1; ibin <= h_R_CenJetEt->GetNbinsX(); ++ibin){
h_R_CenJetEt->SetBinContent(ibin, h_RVBF_CenJetEt->GetBinContent(ibin) * h_RGEN->GetBinContent(1));
h_R_CenJetEt->SetBinError(ibin, h_R_CenJetEt->GetBinContent(ibin) * sqrt(pow(h_RVBF_CenJetEt->GetBinError(ibin)/h_RVBF_CenJetEt->GetBinContent(ibin),2) + pow(h_RGEN->GetBinError(1)/ h_RGEN->GetBinContent(1),2)));
}
// lets calculate some stuff
TH1D* hWTau_Prediction_DPhi = new TH1D("hWTau_Prediction_DPhi","",4,dphiEdges);
hWTau_Prediction_DPhi->Add(hWEl_EstC_DPhi,1.);
hWTau_Prediction_DPhi->Multiply(h_R_DPhi);
TH1D* hWTau_Prediction_Mjj = new TH1D("hWTau_Prediction_Mjj","",4,MjjEdges);
hWTau_Prediction_Mjj->Add(hWEl_EstC_Mjj,1.);
hWTau_Prediction_Mjj->Multiply(h_R_Mjj);
TH1D* hWTau_Prediction_MET = new TH1D("hWTau_Prediction_MET","",4,METEdges);
hWTau_Prediction_MET->Add(hWEl_EstC_MET,1.);
hWTau_Prediction_MET->Multiply(h_R_MET);
TH1D* hWTau_Prediction_CenJetEt = new TH1D("hWTau_Prediction_CenJetEt","",4,CenJetEtEdges);
hWTau_Prediction_CenJetEt->Add(hWEl_EstC_CenJetEt,1.);
hWTau_Prediction_CenJetEt->Multiply(h_R_CenJetEt);
double xsecRatio = (0.1125*0.6476)/(0.1057+(0.1125*0.1741)); // Ratio of w->Tau cross-section to w-?el cross section (includes w->el and w->tau->el)
hWTau_Prediction_DPhi->Scale(xsecRatio);
hWTau_Prediction_Mjj->Scale(xsecRatio);
hWTau_Prediction_MET->Scale(xsecRatio);
hWTau_Prediction_CenJetEt->Scale(xsecRatio);
///////////////////////////
// Lots of screen output //
///////////////////////////
std::cout << std::endl;
std::cout << "***************** W Tau closure test from W El *****************" << std::endl;
std::cout << std::endl;
std::cout << "--- Binned by DPhiJJ ---" << std::endl;
for (int a = 0; a < 4; a++){
std::cout << std::endl;
std::cout << "Bin: " << dphiEdges[a] << " < dphi < " << dphiEdges[a+1] << "" << std::endl;
std::cout << "W->el channel" << std::endl;
std::cout << " W+jets reco'd in ctrl : " << hWEl_MCC_DPhi->GetBinContent(a+1) << " +/- " << hWEl_MCC_DPhi->GetBinError(a+1) << std::endl;
std::cout << " W+jets at gen level : " << hWEl_MCGen_DPhi->GetBinContent(a+1) << " +/- " << hWEl_MCGen_DPhi->GetBinError(a+1) << std::endl;
std::cout << " Background ctrl region : " << hWEl_BGC_DPhi->GetBinContent(a+1) << " +/- " << hWEl_BGC_DPhi->GetBinError(a+1) << std::endl;
std::cout << " Data ctrl region : " << hWEl_DataC_DPhi->GetBinContent(a+1) << " +/- " << hWEl_DataC_DPhi->GetBinError(a+1) << std::endl;
std::cout << " Data-bg ctrl region : " << hWEl_EstC_DPhi->GetBinContent(a+1) << " +/- " << hWEl_EstC_DPhi->GetBinError(a+1) << std::endl;
std::cout << std::endl;
std::cout << "W->tau channel" << std::endl;
std::cout << " W+jets reco'd in ctrl (MC estimate in ctrl) : " << hWTau_MCC_DPhi->GetBinContent(a+1) << " +/- " << hWTau_MCC_DPhi->GetBinError(a+1) << std::endl;
std::cout << " W+jets at gen level : " << hWTau_MCGen_DPhi->GetBinContent(a+1) << " +/- " << hWTau_MCGen_DPhi->GetBinError(a+1) << std::endl;
std::cout << " Background ctrl region : " << hWTau_BGC_DPhi->GetBinContent(a+1) << " +/- " << hWTau_BGC_DPhi->GetBinError(a+1) << std::endl;
std::cout << " Data ctrl region : " << hWTau_DataC_DPhi->GetBinContent(a+1) << " +/- " << hWTau_DataC_DPhi->GetBinError(a+1) << std::endl;
std::cout << std::endl;
std::cout << " WTau in ctrl region observed : " << hWTau_EstC_DPhi->GetBinContent(a+1) << " +/- " << hWTau_EstC_DPhi->GetBinError(a+1) << std::endl;
std::cout << std::endl;
std::cout << " Closure test: WTau from WEl : " << hWTau_Prediction_DPhi->GetBinContent(a+1) << " +/- " << hWTau_Prediction_DPhi->GetBinError(a+1) << std::endl;
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << "--- Binned by Mjj ---" << std::endl;
for (int b = 0; b < 4; b++) {
std::cout << std::endl;
std::cout << "Bin: " << MjjEdges[b] << " < Mjj < " << MjjEdges[b+1] << "" << std::endl;
std::cout << "W->el channel" << std::endl;
std::cout << " W+jets reco'd in ctrl : " << hWEl_MCC_Mjj->GetBinContent(b+1) << " +/- " << hWEl_MCC_Mjj->GetBinError(b+1) << std::endl;
std::cout << " Background ctrl region : " << hWEl_BGC_Mjj->GetBinContent(b+1) << " +/- " << hWEl_BGC_Mjj->GetBinError(b+1) << std::endl;
std::cout << " Data ctrl region : " << hWEl_DataC_Mjj->GetBinContent(b+1) << " +/- " << hWEl_DataC_Mjj->GetBinError(b+1) << std::endl;
std::cout << " Data-bg ctrl region : " << hWEl_EstC_Mjj->GetBinContent(b+1) << " +/- " << hWEl_EstC_Mjj->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << "W->tau channel" << std::endl;
std::cout << " W+jets reco'd in ctrl (MC estimate in ctrl) : " << hWTau_MCC_Mjj->GetBinContent(b+1) << " +/- " << hWTau_MCC_Mjj->GetBinError(b+1) << std::endl;
std::cout << " Background ctrl region : " << hWTau_BGC_Mjj->GetBinContent(b+1) << " +/- " << hWTau_BGC_Mjj->GetBinError(b+1) << std::endl;
std::cout << " Data ctrl region : " << hWTau_DataC_Mjj->GetBinContent(b+1) << " +/- " << hWTau_DataC_Mjj->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << " WTau in ctrl region observed : " << hWTau_EstC_Mjj->GetBinContent(b+1) << " +/- " << hWTau_EstC_Mjj->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << " Closure test: WTau from WEl : " << hWTau_Prediction_Mjj->GetBinContent(b+1) << " +/- " << hWTau_Prediction_Mjj->GetBinError(b+1) << std::endl;
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << "--- Binned by MET ---" << std::endl;
for (int b = 0; b < 4; b++) {
std::cout << std::endl;
std::cout << "Bin: " << METEdges[b] << " < MET < " << METEdges[b+1] << "" << std::endl;
std::cout << "W->el channel" << std::endl;
std::cout << " W+jets reco'd in ctrl : " << hWEl_MCC_MET->GetBinContent(b+1) << " +/- " << hWEl_MCC_MET->GetBinError(b+1) << std::endl;
std::cout << " Background ctrl region : " << hWEl_BGC_MET->GetBinContent(b+1) << " +/- " << hWEl_BGC_MET->GetBinError(b+1) << std::endl;
std::cout << " Data ctrl region : " << hWEl_DataC_MET->GetBinContent(b+1) << " +/- " << hWEl_DataC_MET->GetBinError(b+1) << std::endl;
std::cout << " Data-bg ctrl region : " << hWEl_EstC_MET->GetBinContent(b+1) << " +/- " << hWEl_EstC_MET->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << "W->tau channel" << std::endl;
std::cout << " W+jets reco'd in ctrl (MC estimate in ctrl) : " << hWTau_MCC_MET->GetBinContent(b+1) << " +/- " << hWTau_MCC_MET->GetBinError(b+1) << std::endl;
std::cout << " Background ctrl region : " << hWTau_BGC_MET->GetBinContent(b+1) << " +/- " << hWTau_BGC_MET->GetBinError(b+1) << std::endl;
std::cout << " Data ctrl region : " << hWTau_DataC_MET->GetBinContent(b+1) << " +/- " << hWTau_DataC_MET->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << " WTau in ctrl region observed : " << hWTau_EstC_MET->GetBinContent(b+1) << " +/- " << hWTau_EstC_MET->GetBinError(b+1) << std::endl;
std::cout << std::endl;
std::cout << " Closure test: WTau from WEl : " << hWTau_Prediction_MET->GetBinContent(b+1) << " +/- " << hWTau_Prediction_MET->GetBinError(b+1) << std::endl;
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << "--- Binned by CenJetEt ---" << std::endl;
for (int c = 0; c<4; c++){
std::cout << std::endl;
std::cout << "Bin: " << CenJetEtEdges[c] << " < Central Jet Et < " << CenJetEtEdges[c+1] << "" << std::endl;
std::cout << "W->el channel" << std::endl;
std::cout << " W+jets reco'd in ctrl : " << hWEl_MCC_CenJetEt->GetBinContent(c+1) << " +/- " << hWEl_MCC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << " Background ctrl region : " << hWEl_BGC_CenJetEt->GetBinContent(c+1) << " +/- " << hWEl_BGC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << " Data ctrl region : " << hWEl_DataC_CenJetEt->GetBinContent(c+1) << " +/- " << hWEl_DataC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << " Data-bg ctrl region : " << hWEl_EstC_CenJetEt->GetBinContent(c+1) << " +/- " << hWEl_EstC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << std::endl;
std::cout << "W->tau channel" << std::endl;
std::cout << " W+jets reco'd in ctrl (MC estimate in ctrl) : " << hWTau_MCC_CenJetEt->GetBinContent(c+1) << " +/- " << hWTau_MCC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << " Background ctrl region : " << hWTau_BGC_CenJetEt->GetBinContent(c+1) << " +/- " << hWTau_BGC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << " Data ctrl region : " << hWTau_DataC_CenJetEt->GetBinContent(c+1) << " +/- " << hWTau_DataC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << std::endl;
std::cout << " WTau in ctrl region observed : " << hWTau_EstC_CenJetEt->GetBinContent(c+1) << " +/- " << hWTau_EstC_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << std::endl;
std::cout << " Closure test: WTau from WEl : " << hWTau_Prediction_CenJetEt->GetBinContent(c+1) << " +/- " << hWTau_Prediction_CenJetEt->GetBinError(c+1) << std::endl;
std::cout << std::endl;
}
////////////////////////
// draw closure plots //
////////////////////////
std::string pdfName;
gStyle->SetOptStat(0);
gStyle->SetOptFit(111111111);
double x_dPhi[4] = {0.5, 1.4, 2.2, 2.6 + (TMath::Pi()-2.6)/2};
double ex_dPhi[4] = {0.5, 0.4, 0.4, (TMath::Pi()-2.6)/2};
double y_dPhi1[4],ey_dPhi1[4],y_dPhi2[4],ey_dPhi2[4],y_dPhi3[4],ey_dPhi3[4]; // For raw numbers - prediceted (data), observed, predicted (MC)
double frac_dPhi[4],efrac_dPhi[4]; // For Frac diff
double x_Mjj[4] = {900., 1100., 1500., 2400.};
double ex_Mjj[4] = {100, 100, 300, 600};
double y_Mjj1[4],ey_Mjj1[4],y_Mjj2[4],ey_Mjj2[4],y_Mjj3[4],ey_Mjj3[4]; // For raw numbers - prediceted (data), observed, predicted (MC)
double frac_Mjj[4],efrac_Mjj[4]; // For Frac diff
double x_MET[4] = {125., 175., 225., 275.};
double ex_MET[4] = {25, 25, 25, 25};
double y_MET1[4],ey_MET1[4],y_MET2[4],ey_MET2[4],y_MET3[4],ey_MET3[4]; // For raw numbers - prediceted (data), observed, predicted (MC)
double frac_MET[4],efrac_MET[4]; // For Frac diff
//double x_CenJetEt[4] = {25, 55, 95, 160};
//double ex_CenJetEt[4] = {15, 15, 25, 40};
double x_CenJetEt[4] = {20., 45., 80., 125.};
double ex_CenJetEt[4] = {10, 15, 20, 25};
double y_CenJetEt1[4],ey_CenJetEt1[4],y_CenJetEt2[4],ey_CenJetEt2[4],y_CenJetEt3[4],ey_CenJetEt3[4]; // For raw numbers - prediceted (data), observed, predicted (MC)
double frac_CenJetEt[4],efrac_CenJetEt[4]; // For Frac diff
double y_syst[4],e_syst[4]; // for systematic bands
for(int i=0; i<4; ++i) {
y_syst[i] = 0.;
//e_syst[i] = sqrt( pow(0.2,2) + pow(constants::syst_WTau,2) ); // 20% from MC stats, plus whatever the current value of Tau syst from TAU ID, w-e contamination, JER etc
e_syst[i] = constants::syst_WTau;
y_dPhi1[i] = hWTau_Prediction_DPhi->GetBinContent(i+1); //Predicted WTau
ey_dPhi1[i] = hWTau_Prediction_DPhi->GetBinError(i+1);
y_dPhi2[i] = hWTau_EstC_DPhi->GetBinContent(i+1); //Observed WTau
ey_dPhi2[i] = hWTau_EstC_DPhi->GetBinError(i+1);
y_dPhi3[i] = hWTau_MCC_DPhi->GetBinContent(i+1); //MC prediction
ey_dPhi3[i] = hWTau_MCC_DPhi->GetBinError(i+1);
frac_dPhi[i] = (y_dPhi1[i]/y_dPhi2[i])-1.;
efrac_dPhi[i] = (y_dPhi1[i]/y_dPhi2[i])*sqrt(pow(ey_dPhi1[i]/y_dPhi1[i],2) + pow(ey_dPhi2[i]/y_dPhi2[i],2));
y_Mjj1[i] = hWTau_Prediction_Mjj->GetBinContent(i+1); //Predicted WTau
ey_Mjj1[i] = hWTau_Prediction_Mjj->GetBinError(i+1);
y_Mjj2[i] = hWTau_EstC_Mjj->GetBinContent(i+1); //Observed WTau
ey_Mjj2[i] = hWTau_EstC_Mjj->GetBinError(i+1);
y_Mjj3[i] = hWTau_MCC_Mjj->GetBinContent(i+1); //MC prediction
ey_Mjj3[i] = hWTau_MCC_Mjj->GetBinError(i+1);
frac_Mjj[i] = (y_Mjj1[i]/y_Mjj2[i])-1.;
efrac_Mjj[i] = (y_Mjj1[i]/y_Mjj2[i])*sqrt(pow(ey_Mjj1[i]/y_Mjj1[i],2) + pow(ey_Mjj2[i]/y_Mjj2[i],2));
y_MET1[i] = hWTau_Prediction_MET->GetBinContent(i+1); //Predicted WTau
ey_MET1[i] = hWTau_Prediction_MET->GetBinError(i+1);
y_MET2[i] = hWTau_EstC_MET->GetBinContent(i+1); //Observed WTau
ey_MET2[i] = hWTau_EstC_MET->GetBinError(i+1);
y_MET3[i] = hWTau_MCC_MET->GetBinContent(i+1); //MC prediction
ey_MET3[i] = hWTau_MCC_MET->GetBinError(i+1);
frac_MET[i] = (y_MET1[i]/y_MET2[i])-1.;
efrac_MET[i] = (y_MET1[i]/y_MET2[i])*sqrt(pow(ey_MET1[i]/y_MET1[i],2) + pow(ey_MET2[i]/y_MET2[i],2));
y_CenJetEt1[i] = hWTau_Prediction_CenJetEt->GetBinContent(i+1); //Predicted WTau
ey_CenJetEt1[i] = hWTau_Prediction_CenJetEt->GetBinError(i+1);
y_CenJetEt2[i] = hWTau_EstC_CenJetEt->GetBinContent(i+1); //Observed WTau
ey_CenJetEt2[i] = hWTau_EstC_CenJetEt->GetBinError(i+1);
y_CenJetEt3[i] = hWTau_MCC_CenJetEt->GetBinContent(i+1); //MC prediction
ey_CenJetEt3[i] = hWTau_MCC_CenJetEt->GetBinError(i+1);
frac_CenJetEt[i] = (y_CenJetEt1[i]/y_CenJetEt2[i])-1.;
efrac_CenJetEt[i] = (y_CenJetEt1[i]/y_CenJetEt2[i])*sqrt(pow(ey_CenJetEt1[i]/y_CenJetEt1[i],2) + pow(ey_CenJetEt2[i]/y_CenJetEt2[i],2));
}
TGraphErrors *gp_dPhi1 = new TGraphErrors(4,x_dPhi,y_dPhi1,ex_dPhi,ey_dPhi1);
TGraphErrors *gp_dPhi2 = new TGraphErrors(4,x_dPhi,y_dPhi2,ex_dPhi,ey_dPhi2);
TGraphErrors *gp_dPhi3 = new TGraphErrors(4,x_dPhi,y_dPhi3,ex_dPhi,ey_dPhi3);
TGraphErrors *gp_dPhiF = new TGraphErrors(4,x_dPhi,frac_dPhi,ex_dPhi,efrac_dPhi);
TGraphErrors *gp_dPhiS = new TGraphErrors(4,x_dPhi,y_syst,ex_dPhi,e_syst); // systematic error bands
TGraphErrors *gp_Mjj1 = new TGraphErrors(4,x_Mjj,y_Mjj1,ex_Mjj,ey_Mjj1);
TGraphErrors *gp_Mjj2 = new TGraphErrors(4,x_Mjj,y_Mjj2,ex_Mjj,ey_Mjj2);
TGraphErrors *gp_Mjj3 = new TGraphErrors(4,x_Mjj,y_Mjj3,ex_Mjj,ey_Mjj3);
TGraphErrors *gp_MjjF = new TGraphErrors(4,x_Mjj,frac_Mjj,ex_Mjj,efrac_Mjj);
TGraphErrors *gp_MjjS = new TGraphErrors(4,x_Mjj,y_syst,ex_Mjj,e_syst); // systematic error bands
TGraphErrors *gp_MET1 = new TGraphErrors(4,x_MET,y_MET1,ex_MET,ey_MET1);
TGraphErrors *gp_MET2 = new TGraphErrors(4,x_MET,y_MET2,ex_MET,ey_MET2);
TGraphErrors *gp_MET3 = new TGraphErrors(4,x_MET,y_MET3,ex_MET,ey_MET3);
TGraphErrors *gp_METF = new TGraphErrors(4,x_MET,frac_MET,ex_MET,efrac_MET);
TGraphErrors *gp_METS = new TGraphErrors(4,x_MET,y_syst,ex_MET,e_syst); // systematic error bands
TGraphErrors *gp_CenJetEt1 = new TGraphErrors(4,x_CenJetEt,y_CenJetEt1,ex_CenJetEt,ey_CenJetEt1);
TGraphErrors *gp_CenJetEt2 = new TGraphErrors(4,x_CenJetEt,y_CenJetEt2,ex_CenJetEt,ey_CenJetEt2);
TGraphErrors *gp_CenJetEt3 = new TGraphErrors(4,x_CenJetEt,y_CenJetEt3,ex_CenJetEt,ey_CenJetEt3);
TGraphErrors *gp_CenJetEtF = new TGraphErrors(4,x_CenJetEt,frac_CenJetEt,ex_CenJetEt,efrac_CenJetEt);
TGraphErrors *gp_CenJetEtS = new TGraphErrors(4,x_CenJetEt,y_syst,ex_CenJetEt,e_syst); // systematic error bands
TH1D *h_dPhi = new TH1D("h_dPhi", "", 1, 0, TMath::Pi()); // For axes
TH1D *h_Mjj = new TH1D("h_Mjj", "", 1, 800, 3000); // For axes
TH1D *h_MET = new TH1D("h_MET", "", 1, 100, 300); // For axes
TH1D *h_CenJetEt = new TH1D("h_CenJetEt", "", 1, 10, 150); // For axes
TPaveText *cms = new TPaveText(0.12, 0.68, 0.58 , 0.88, "NDC");
cms->SetFillColor(0);
cms->SetFillStyle(4000);
cms->SetBorderSize(0);
cms->SetLineColor(0);
cms->SetTextAlign(12);
cms->AddText("CMS Preliminary");
cms->AddText("");
cms->AddText("#sqrt{s} = 8 TeV L = 19.6 fb^{-1}");
cms->AddText("");
TCanvas canvas;
canvas.SetCanvasSize(canvas.GetWindowWidth(), 1.2*canvas.GetWindowHeight());
///////////////////
// DPhiJJ graphs //
///////////////////
// Absolute numbers
gp_dPhi1->SetTitle("");
gp_dPhi1->SetMarkerStyle(20);
gp_dPhi1->SetMarkerSize(0.9);
gp_dPhi1->SetLineColor(kRed);
gp_dPhi1->SetMarkerColor(kRed);
gp_dPhi1->GetXaxis()->SetTitle("#Delta #phi_{jj}");
gp_dPhi1->GetXaxis()->SetRangeUser(0,TMath::Pi());
gp_dPhi1->GetYaxis()->SetTitle("N(W#rightarrow #tau#nu)");
gp_dPhi1->GetYaxis()->SetTitleOffset(1.2);
gp_dPhi1->GetYaxis()->SetRangeUser(0,80);
gp_dPhi1->Draw("AP");
gp_dPhi2->SetMarkerStyle(20);
gp_dPhi2->SetMarkerSize(0.9);
gp_dPhi2->SetLineColor(kBlue);
gp_dPhi2->SetMarkerColor(kBlue);
gp_dPhi2->Draw("P same");
gp_dPhi3->SetMarkerStyle(20);
gp_dPhi3->SetMarkerSize(0.9);
gp_dPhi3->SetLineColor(kViolet);
gp_dPhi3->SetMarkerColor(kViolet);
gp_dPhi3->Draw("P same");
TLegend leg(0.12,0.67,0.32,0.87);
leg.SetBorderSize(0);
leg.SetFillColor(0);
leg.AddEntry(gp_dPhi1,"predicted (data)","P");
leg.AddEntry(gp_dPhi2,"observed (data)","P");
leg.AddEntry(gp_dPhi3,"predicted (MC)","P");
leg.Draw();
pdfName= options.oDir + std::string("/Wtaunu_dphi_num.pdf");
canvas.Print(pdfName.c_str());
// Fractional diff
h_dPhi->Draw();
h_dPhi->GetXaxis()->SetTitle("#Delta #phi_{jj}");
h_dPhi->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h_dPhi->GetYaxis()->SetTitleOffset(1.2);
h_dPhi->GetYaxis()->SetRangeUser(-1.0,2.0);
h_dPhi->SetLineColor(kBlue);
h_dPhi->SetLineWidth(2);
h_dPhi->Draw();
gp_dPhiS->SetLineColor(kGray);
gp_dPhiS->SetLineWidth(0);
gp_dPhiS->SetFillColor(kGray);
gp_dPhiS->SetFillStyle(3001);
gp_dPhiF->SetMarkerStyle(20);
gp_dPhiF->SetMarkerSize(1.4);
gp_dPhiF->SetMarkerColor(kBlue);
gp_dPhiF->SetLineWidth(2);
TF1 *f_dPhi = new TF1("f_dPhi","pol0",0,2.6); //To do a fit in first 3 bins only
gp_dPhiF->Fit("f_dPhi","R");
h_dPhi->Draw();
gp_dPhiS->Draw("2 same");
gp_dPhiF->Draw("P same");
TLegend leg2_dphi(0.12,0.67,0.40,0.87);
leg2_dphi.SetBorderSize(0);
leg2_dphi.SetFillColor(0);
leg2_dphi.AddEntry(f_dPhi,"pol0 fit (0 < #Delta #phi_{jj} < 2.6)","l");
leg2_dphi.AddEntry(gp_dPhiS,"Systematic error","f");
leg2_dphi.Draw();
pdfName= options.oDir + std::string("/Wtaunu_dphi_frac.pdf");
canvas.Print(pdfName.c_str());
////////////////
// Mjj graphs //
////////////////
gp_Mjj1->SetTitle("");
gp_Mjj1->SetMarkerStyle(20);
gp_Mjj1->SetMarkerSize(0.9);
gp_Mjj1->SetLineColor(kRed);
gp_Mjj1->SetMarkerColor(kRed);
gp_Mjj1->GetXaxis()->SetTitle("M_{jj} [GeV]");
gp_Mjj1->GetXaxis()->SetRangeUser(800.,3000.);
gp_Mjj1->GetYaxis()->SetTitle("N(W#rightarrow #tau#nu)");
gp_Mjj1->GetYaxis()->SetTitleOffset(1.2);
gp_Mjj1->GetYaxis()->SetRangeUser(0.,50.);
gp_Mjj1->Draw("AP");
gp_Mjj2->SetMarkerStyle(20);
gp_Mjj2->SetMarkerSize(0.9);
gp_Mjj2->SetLineColor(kBlue);
gp_Mjj2->SetMarkerColor(kBlue);
gp_Mjj2->Draw("P same");
gp_Mjj3->SetMarkerStyle(20);
gp_Mjj3->SetMarkerSize(0.9);
gp_Mjj3->SetLineColor(kViolet);
gp_Mjj3->SetMarkerColor(kViolet);
gp_Mjj3->Draw("P same");
leg.Draw();
pdfName= options.oDir + std::string("/Wtaunu_mjj_num.pdf");
canvas.Print(pdfName.c_str());
h_Mjj->Draw();
h_Mjj->GetXaxis()->SetTitle("M_{jj} [GeV]");
h_Mjj->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h_Mjj->GetYaxis()->SetTitleOffset(1.2);
h_Mjj->GetYaxis()->SetRangeUser(-3.0,10.0);
h_Mjj->SetLineColor(kBlue);
h_Mjj->SetLineWidth(2);
h_Mjj->Draw();
gp_MjjS->SetLineColor(kGray);
gp_MjjS->SetLineWidth(0);
gp_MjjS->SetFillColor(kGray);
gp_MjjS->SetFillStyle(3001);
gp_MjjF->SetMarkerStyle(20);
gp_MjjF->SetMarkerSize(1.4);
gp_MjjF->SetMarkerColor(kBlue);
gp_MjjF->SetLineWidth(2);
TF1 *f_Mjj = new TF1("f_Mjj","pol0",800,3000);
gp_MjjF->Fit("f_Mjj","R");
h_Mjj->Draw();
gp_MjjS->Draw("2 same");
gp_MjjF->Draw("P same");
TLegend leg2_mjj(0.12,0.67,0.40,0.87);
leg2_mjj.SetBorderSize(0);
leg2_mjj.SetFillColor(0);
leg2_mjj.AddEntry(f_Mjj,"pol0 fit","l");
leg2_mjj.AddEntry(gp_MjjS,"Systematic error","f");
leg2_mjj.Draw();
pdfName= options.oDir + std::string("/Wtaunu_mjj_frac.pdf");
canvas.Print(pdfName.c_str());
////////////////
// MET graphs //
////////////////
gp_MET1->SetTitle("");
gp_MET1->SetMarkerStyle(20);
gp_MET1->SetMarkerSize(0.9);
gp_MET1->SetLineColor(kRed);
gp_MET1->SetMarkerColor(kRed);
gp_MET1->GetXaxis()->SetTitle("E_{T}^{miss} [GeV]");
gp_MET1->GetXaxis()->SetRangeUser(100,300);
gp_MET1->GetYaxis()->SetTitle("N(W#rightarrow #tau#nu)");
gp_MET1->GetYaxis()->SetTitleOffset(1.2);
gp_MET1->GetYaxis()->SetRangeUser(0,40);
gp_MET1->Draw("AP");
gp_MET2->SetMarkerStyle(20);
gp_MET2->SetMarkerSize(0.9);
gp_MET2->SetLineColor(kBlue);
gp_MET2->SetMarkerColor(kBlue);
gp_MET2->Draw("P same");
gp_MET3->SetMarkerStyle(20);
gp_MET3->SetMarkerSize(0.9);
gp_MET3->SetLineColor(kViolet);
gp_MET3->SetMarkerColor(kViolet);
gp_MET3->Draw("P same");
leg.Draw();
pdfName= options.oDir + std::string("/Wtaunu_met_num.pdf");
canvas.Print(pdfName.c_str());
h_MET->Draw();
h_MET->GetXaxis()->SetTitle("E_{T}^{miss} [GeV]");
h_MET->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h_MET->GetYaxis()->SetTitleOffset(1.2);
h_MET->GetYaxis()->SetRangeUser(-3.0,5.0);
h_MET->SetLineColor(kBlue);
h_MET->SetLineWidth(2);
h_MET->Draw();
gp_METS->SetLineColor(kGray);
gp_METS->SetLineWidth(0);
gp_METS->SetFillColor(kGray);
gp_METS->SetFillStyle(3001);
gp_METF->SetMarkerStyle(20);
gp_METF->SetMarkerSize(1.4);
gp_METF->SetMarkerColor(kBlue);
gp_METF->SetLineWidth(2);
TF1 *f_MET = new TF1("f_MET","pol0",100,300);
gp_METF->Fit("f_MET","R");
h_MET->Draw();
gp_METS->Draw("2 same");
gp_METF->Draw("P same");
TLegend leg2_met(0.12,0.67,0.40,0.87);
leg2_met.SetBorderSize(0);
leg2_met.SetFillColor(0);
leg2_met.AddEntry(f_MET,"pol0 fit","l");
leg2_met.AddEntry(gp_METS,"Systematic error","f");
leg2_met.Draw();
pdfName= options.oDir + std::string("/Wtaunu_met_frac.pdf");
canvas.Print(pdfName.c_str());
/////////////////////
// CenJetEt graphs //
/////////////////////
gp_CenJetEt1->SetTitle("");
gp_CenJetEt1->SetMarkerStyle(20);
gp_CenJetEt1->SetMarkerSize(0.9);
gp_CenJetEt1->SetLineColor(kRed);
gp_CenJetEt1->SetMarkerColor(kRed);
gp_CenJetEt1->GetXaxis()->SetTitle("Central Jet E_{T} [Gev]");
gp_CenJetEt1->GetXaxis()->SetRangeUser(10,150);
gp_CenJetEt1->GetYaxis()->SetTitle("N(W#rightarrow #tau#nu)");
gp_CenJetEt1->GetYaxis()->SetTitleOffset(1.2);
gp_CenJetEt1->GetYaxis()->SetRangeUser(0,40);
gp_CenJetEt1->Draw("AP");
gp_CenJetEt2->SetMarkerStyle(20);
gp_CenJetEt2->SetMarkerSize(0.9);
gp_CenJetEt2->SetLineColor(kBlue);
gp_CenJetEt2->SetMarkerColor(kBlue);
gp_CenJetEt2->Draw("P same");
gp_CenJetEt3->SetMarkerStyle(20);
gp_CenJetEt3->SetMarkerSize(0.9);
gp_CenJetEt3->SetLineColor(kViolet);
gp_CenJetEt3->SetMarkerColor(kViolet);
gp_CenJetEt3->Draw("P same");
leg.Draw();
pdfName= options.oDir + std::string("/Wtaunu_CenJetEt_num.pdf");
canvas.Print(pdfName.c_str());
h_CenJetEt->Draw();
h_CenJetEt->GetXaxis()->SetTitle("Central Jet E_{T} [Gev]");
h_CenJetEt->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h_CenJetEt->GetYaxis()->SetTitleOffset(1.2);
h_CenJetEt->GetYaxis()->SetRangeUser(-3.0,5.0);
h_CenJetEt->SetLineColor(kBlue);
h_CenJetEt->SetLineWidth(2);
h_CenJetEt->Draw();
gp_CenJetEtS->SetLineColor(kGray);
gp_CenJetEtS->SetLineWidth(0);
gp_CenJetEtS->SetFillColor(kGray);
gp_CenJetEtS->SetFillStyle(3001);
gp_CenJetEtF->SetMarkerStyle(20);
gp_CenJetEtF->SetMarkerSize(1.4);
gp_CenJetEtF->SetMarkerColor(kBlue);
gp_CenJetEtF->SetLineWidth(2);
TF1 *f_CenJetEt = new TF1("f_CenJetEt","pol0",10,150);
gp_CenJetEtF->Fit("f_CenJetEt","R");
h_CenJetEt->Draw();
gp_CenJetEtS->Draw("2 same");
gp_CenJetEtF->Draw("P same");
TLegend leg2_cenjet(0.12,0.67,0.40,0.87);
leg2_cenjet.SetBorderSize(0);
leg2_cenjet.SetFillColor(0);
leg2_cenjet.AddEntry(f_CenJetEt,"pol0 fit","l");
leg2_cenjet.AddEntry(gp_CenJetEtS,"Systematic error","f");
leg2_cenjet.Draw();
pdfName= options.oDir + std::string("/Wtaunu_CenJetEt_frac.pdf");
canvas.Print(pdfName.c_str());
}
int electronCompare()
{
TString CMP_DIR = gSystem->Getenv( "CMP_DIR" ) ;
TString CMP_URL = gSystem->Getenv( "CMP_URL" ) ;
TString CMP_TITLE = gSystem->Getenv( "CMP_TITLE" ) ;
TString CMP_RED_FILE = gSystem->Getenv( "CMP_RED_FILE" ) ;
TString CMP_BLUE_FILE = gSystem->Getenv( "CMP_BLUE_FILE" ) ;
TString CMP_RED_NAME = gSystem->Getenv( "CMP_RED_NAME" ) ;
TString CMP_BLUE_NAME = gSystem->Getenv( "CMP_BLUE_NAME" ) ;
TString CMP_RED_COMMENT = gSystem->Getenv( "CMP_RED_COMMENT" ) ;
TString CMP_BLUE_COMMENT = gSystem->Getenv( "CMP_BLUE_COMMENT" ) ;
TString CMP_CONFIG = gSystem->Getenv( "CMP_CONFIG" ) ;
TString CMP_RED_RELEASE = gSystem->Getenv( "CMP_RED_RELEASE" ) ;
TString CMP_BLUE_RELEASE = gSystem->Getenv( "CMP_BLUE_RELEASE" ) ;
//-----
// AC
// std::cout << "red_file : C : " << CMP_RED_FILE << std::endl;
// std::cout << "blue_file : C : " << CMP_BLUE_FILE << std::endl;
std::cout << "red_release : C : " << CMP_RED_RELEASE << std::endl;
std::cout << "blue_release : C : " << CMP_BLUE_RELEASE << std::endl;
//-----
// style:
TStyle *eleStyle = new TStyle("eleStyle","Style for electron validation");
eleStyle->SetCanvasBorderMode(0);
eleStyle->SetCanvasColor(kWhite);
eleStyle->SetCanvasDefH(600);
eleStyle->SetCanvasDefW(800);
eleStyle->SetCanvasDefX(0);
eleStyle->SetCanvasDefY(0);
eleStyle->SetPadBorderMode(0);
eleStyle->SetPadColor(kWhite);
eleStyle->SetPadGridX(false);
eleStyle->SetPadGridY(false);
eleStyle->SetGridColor(0);
eleStyle->SetGridStyle(3);
eleStyle->SetGridWidth(1);
eleStyle->SetOptStat(1);
eleStyle->SetPadTickX(1);
eleStyle->SetPadTickY(1);
eleStyle->SetHistLineColor(1);
eleStyle->SetHistLineStyle(0);
eleStyle->SetHistLineWidth(2);
eleStyle->SetEndErrorSize(2);
eleStyle->SetErrorX(0.);
eleStyle->SetOptStat(1);
eleStyle->SetTitleColor(1, "XYZ");
eleStyle->SetTitleFont(42, "XYZ");
eleStyle->SetTitleXOffset(1.0);
eleStyle->SetTitleYOffset(1.0);
eleStyle->SetLabelOffset(0.005, "XYZ");
eleStyle->SetTitleSize(0.05, "XYZ");
eleStyle->SetTitleFont(22,"X");
eleStyle->SetTitleFont(22,"Y");
eleStyle->SetHistLineWidth(2);
eleStyle->SetPadBottomMargin(0.13);
eleStyle->SetPadLeftMargin(0.15);
eleStyle->SetMarkerStyle(21);
eleStyle->SetMarkerSize(0.8);
//-- AC --
eleStyle->SetPadRightMargin(0.2) ;
eleStyle->cd();
gROOT->ForceStyle();
TString internal_path("DQMData/Run 1/EgammaV/Run summary/") ;
TString old_internal_path("DQMData/EgammaV/") ;
TString file_ref_dir ;
TFile * file_ref = 0 ;
if ( CMP_BLUE_FILE != "" )
{
file_ref = TFile::Open(CMP_BLUE_FILE) ;
if (file_ref!=0)
{
std::cout<<"open "<<CMP_BLUE_FILE<<std::endl ;
if (file_ref->cd(internal_path)==kTRUE)
{
std::cerr<<"cd "<<internal_path<<std::endl ;
file_ref_dir = internal_path ;
file_ref->cd() ;
}
else if (file_ref->cd(old_internal_path)==kTRUE)
{
std::cerr<<"cd "<<old_internal_path<<std::endl ;
file_ref_dir = old_internal_path ;
file_ref->cd() ;
}
else
{
std::cerr<<"Failed move to: "<<internal_path<<" and "<<old_internal_path<<std::endl ;
file_ref_dir = "" ;
}
}
else
{ std::cerr<<"Failed to open: "<<CMP_BLUE_FILE<<std::endl ; }
}
TString file_new_dir = internal_path ;
TFile * file_new = 0 ;
if ( CMP_RED_FILE != "" )
{
file_new = TFile::Open(CMP_RED_FILE) ;
if (file_new!=0)
{
std::cout<<"open "<<CMP_RED_FILE<<std::endl ;
if (file_new->cd(internal_path)==kTRUE)
{
std::cerr<<"cd "<<internal_path<<std::endl ;
file_new_dir = internal_path ;
file_new->cd() ;
}
else if (file_new->cd(old_internal_path)==kTRUE)
{
std::cerr<<"cd "<<old_internal_path<<std::endl ;
file_new_dir = old_internal_path ;
file_new->cd() ;
}
else
{
std::cerr<<"Failed move to: "<<internal_path<<" and "<<old_internal_path<<std::endl ;
file_new_dir = "" ;
}
}
else
{ std::cerr<<"Failed to open: "<<CMP_RED_FILE<<std::endl ; }
}
TCanvas * canvas ;
TH1 * histo_ref, * histo_new ;
TPaveStats * st_ref, * st_new ;
std::ofstream web_page(CMP_DIR+"/index.html") ;
web_page
<<"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 3.2 Final//EN\">\n"
<<"<html>\n"
<<"<head>\n"
<<"<meta http-equiv=\"content-type\" content=\"text/html; charset=UTF-8\" />\n"
<<"<title>"<<CMP_TITLE<<"</title>\n"
<<"</head>\n"
<<"<h1><a href=\"../\"><img border=0 width=\"22\" height=\"22\" src=\"../../../../img/up.gif\" alt=\"Up\"/></a> "<<CMP_TITLE<<"</h1>\n" ;
if (file_ref==0)
{
web_page
<<"<p>In all plots below"
<<", there was no reference histograms to compare with"
<<", and the "<<CMP_RED_NAME<<" histograms are in red." ;
}
else
{
/* web_page
<<"<p>In all plots below"
<<", the "<<CMP_RED_NAME<<" histograms are in red"
<<", and the "<<CMP_BLUE_NAME<<" histograms are in blue." ;*/
web_page
<<"<p>In all plots below"
<<", the "<<CMP_RED_RELEASE<<" histograms are in red"
<<", and the "<<CMP_BLUE_RELEASE<<" histograms are in blue." ;
/* std::cout <<"<p>In all plots below "
<<", the "<<CMP_RED_RELEASE<<" histograms are in red"
<<", and the "<<CMP_BLUE_RELEASE<<" histograms are in blue." << std::endl ;*/
}
std::ifstream red_comment_file(CMP_RED_COMMENT) ;
std::string red_comment ;
std::getline(red_comment_file,red_comment) ;
red_comment_file.close() ;
std::ifstream blue_comment_file(CMP_BLUE_COMMENT) ;
std::string blue_comment ;
std::getline(blue_comment_file,blue_comment) ;
blue_comment_file.close() ;
web_page<<" "<<red_comment<<" "<<blue_comment
<<" Some more details"
<<": <a href=\"electronCompare.C\">script</a> used to make the plots"
<<", <a href=\""<<CMP_CONFIG<<"\">specification</a> of histograms"
<<", <a href=\"gifs/\">images</a> of histograms"
<<"." ;
web_page<<"</p>\n" ;
// canvas_name std::string => TString
TString canvas_name, histo_name, histo_full_path, gif_name, gif_path ;
TString short_histo_name ;
TString first_short_histo_name, first_histo_name ;
TString dl_short_histo_name, dl_histo_name ;
TString num_ref, denom_ref, num_full, denom_full ;
Int_t n_ele_charge ;
int scaled, err ;
int divide;
std::string cat, line, histo_path, num, denom ;
int eol ; // end of line
int eoc ; // enf of category
double rescale_factor = 0. ;
std::ifstream histo_file1(CMP_CONFIG) ;
web_page
<<"<br><table border=\"1\" cellpadding=\"5\" width=\"100%\">"
<<"<tr valign=\"top\"><td width=\"20%\">\n" ;
int cat_num = 0 ;
cat = "" ;
do
{
std::getline(histo_file1,cat) ;
} while (cat.find_first_not_of(" \t")==std::string::npos) ;
web_page<<"<b>"<<cat<<"</b><br><br>" ;
while (std::getline(histo_file1,line))
{
if (line.empty()) continue ;
std::size_t first = line.find_first_not_of(" \t") ;
if (first==std::string::npos) continue ;
if (line[first]=='#') continue ;
std::istringstream linestream(line) ;
divide = 0 ; num = denom = "" ;
linestream >> histo_path >> scaled >> err >> eol >> eoc >> divide >> num >> denom ;
histo_name = histo_path ;
Ssiz_t pos = histo_name.Last('/') ;
if (pos!=kNPOS) histo_name.Remove(0,pos+1) ;
short_histo_name = histo_name ;
short_histo_name.Remove(0,2) ;
if (short_histo_name.BeginsWith("ele_"))
{ short_histo_name.Remove(0,4) ; }
if (first_histo_name.IsNull())
{
first_short_histo_name = short_histo_name ;
first_histo_name = histo_name ;
dl_short_histo_name = short_histo_name ;
dl_histo_name = histo_name ;
}
else
{
TString common ;
TString first_specific ;
TString second_specific ;
CompareHistoNames(first_short_histo_name,short_histo_name,common,first_specific,second_specific) ;
if (!dl_histo_name.IsNull())
{
if (first_specific.IsNull())
{ web_page<<"<a href=\"#"<<first_histo_name<<"\">"<<first_short_histo_name<<"</a>" ; }
else
{ web_page<<common<<" | <a href=\"#"<<first_histo_name<<"\">"<<first_specific<<"</a>" ; }
dl_short_histo_name = dl_histo_name = "" ;
}
web_page<<" | <a href=\"#"<<histo_name<<"\">"<<second_specific<<"</a>" ;
}
if ((eol)||(eoc))
{
if (!dl_histo_name.IsNull())
{ web_page<<"<a href=\"#"<<dl_histo_name<<"\">"<<dl_short_histo_name<<"</a>" ; }
web_page<<"<br>\n" ;
first_histo_name = first_short_histo_name = "" ;
}
if (eoc)
{
cat_num++ ;
if ((cat_num%5)==0)
{ web_page<<"<br></td></tr>\n<tr valign=\"top\"><td width=\"20%\">" ; }
else
{ web_page<<"<br></td><td width=\"20%\">\n" ; }
cat = "" ;
do
{
std::getline(histo_file1,cat) ;
} while (cat.find_first_not_of(" \t")==std::string::npos) ;
web_page<<"<b>"<<cat<<"</b><br><br>" ;
}
}
web_page<<"<br></td></tr></table>\n" ;
histo_file1.close() ;
web_page<<"<br><br><table cellpadding=\"5\"><tr valign=\"top\"><td><a href=\""<<CMP_URL<<"/\"><img width=\"18\" height=\"18\" border=\"0\" align=\"middle\" src=\"../../../../img/up.gif\" alt=\"Top\"/></a></td><td>\n" ;
std::ifstream histo_file2(CMP_CONFIG) ;
n_ele_charge = 0 ;
cat = "" ;
do
{
std::getline(histo_file2,cat) ;
} while (cat.empty()) ;
while (std::getline(histo_file2,line))
{
if (line.empty()) continue ;
std::size_t first = line.find_first_not_of(" \t") ;
if (first==std::string::npos) continue ;
if (line[first]=='#') continue ;
std::istrstream linestream(line) ;
divide = 0 ; num = denom = "" ;
linestream >> histo_path >> scaled >> err >> eol >> eoc >> divide >> num >> denom ;
histo_name = histo_path.c_str() ;
histo_ref = 0 ;
histo_new = 0 ;
st_ref = 0 ;
st_new = 0 ;
Ssiz_t pos = histo_name.Last('/') ;
if (pos!=kNPOS) histo_name.Remove(0,pos+1) ;
short_histo_name = histo_name ;
short_histo_name.Remove(0,2) ;
gif_name = "gifs/" ; gif_name += histo_name ; gif_name += ".gif" ;
gif_path = CMP_DIR ; gif_path += "/" ; gif_path += gif_name ;
canvas_name = "c" ; canvas_name += histo_name ;
canvas = new TCanvas(canvas_name) ;
canvas->SetFillColor(10) ;
//std::cout << "canvas width " << canvas->GetWindowWidth() << std::endl; // 800 default
//std::cout << "canvas height " << canvas->GetWindowHeight() << std::endl; // 600 default
//std::cout << "canvas Y real " << canvas->GetYsizeReal() << std::endl;
//std::cout << "canvas Y user " << canvas->GetYsizeUser() << std::endl;
web_page<<"<a id=\""<<histo_name<<"\" name=\""<<short_histo_name<<"\"></a>" ;
// search histo_ref
if ( file_ref != 0 )
{
if (file_ref_dir.IsNull())
{ histo_full_path = histo_name ; }
else
{ histo_full_path = file_ref_dir ; histo_full_path += histo_path.c_str() ; }
histo_ref = (TH1 *)file_ref->Get(histo_full_path) ;
if (histo_ref!=0)
{
// renaming those histograms avoid very strange bugs because they
// have the same names as the ones loaded from the new file
histo_ref->SetName(TString(histo_ref->GetName())+"_ref") ;
}
else
{
web_page<<"No <b>"<<histo_path<<"</b> for "<<CMP_BLUE_NAME<<".<br>" ;
}
}
// search histo_new
histo_full_path = file_new_dir ; histo_full_path += histo_path.c_str() ;
histo_new = (TH1 *)file_new->Get(histo_full_path) ;
//std::cout << "size " << histo_new->GetSize() << std::endl ;
// special treatments
if ((scaled==1)&&(histo_new!=0)&&(histo_ref!=0)&&(histo_ref->GetEntries()!=0))
{
Int_t new_entries = histo_new->GetEntries() ;
if (new_entries==0) { new_entries = n_ele_charge ; }
if (new_entries==0)
{ std::cerr<<"DO NOT KNOW HOW TO RESCALE "<<histo_name<<std::endl ; }
else
{
// we want to reuse the rescale factor of the first histogram
// for all the subsequent histograms.
if (rescale_factor==0.) { rescale_factor = new_entries/histo_ref->GetEntries() ; }
histo_ref->Scale(rescale_factor) ;
}
}
if ((histo_new!=0)&&(histo_ref!=0)&&(histo_ref->GetMaximum()>histo_new->GetMaximum()))
{ histo_new->SetMaximum(histo_ref->GetMaximum()*1.1) ; }
if (histo_new==0)
{
web_page<<"No <b>"<<histo_path<<"</b> for "<<CMP_RED_NAME<<".<br>" ;
}
else
{
// catch n_ele_charge
if (histo_name=="h_ele_charge")
{ n_ele_charge = histo_new->GetEntries() ; }
// draw histo_new
TString newDrawOptions(err==1?"E1 P":"hist") ;
gErrorIgnoreLevel = kWarning ;
if (divide!=0)
{
num_full = file_new_dir ; num_full += num.c_str() ;
denom_full = file_new_dir ; denom_full += denom.c_str() ;
histo_new = DivideHistos(file_new,histo_new,num_full,denom_full) ;
}
histo_new->SetLineColor(kRed) ;
histo_new->SetMarkerColor(2) ;
histo_new->SetLineWidth(3) ;
RenderHisto(histo_new,canvas) ;
histo_new->Draw(newDrawOptions) ;
// std::cout << "SIZE : " << canvas->GetWw() << std::endl ; // 796 default
// std::cout << "SIZE : " << canvas->GetWh() << std::endl ; // 572 default
//canvas->Update() ;
//canvas->SetWindowSize(440, 600);
canvas->SetCanvasSize(960, 600);
canvas->Update() ;
st_new = (TPaveStats*)histo_new->FindObject("stats");
st_new->SetTextColor(kRed) ;
// draw histo_ref
if (histo_ref!=0)
{
if (divide!=0)
{
num_ref = num ;
denom_ref = denom ;
if (file_ref_dir.IsNull())
{
pos = num_ref.Last('/') ;
if (pos!=kNPOS) num_ref.Remove(0,pos+1) ;
pos = denom_ref.Last('/') ;
if (pos!=kNPOS) denom_ref.Remove(0,pos+1) ;
}
histo_ref = DivideHistos(file_ref,histo_ref,file_ref_dir+num_ref,file_ref_dir+denom_ref) ;
}
RenderHisto(histo_ref,canvas) ;
histo_ref->SetLineColor(kBlue) ;
histo_ref->SetLineWidth(3) ;
histo_ref->Draw("sames hist") ;
canvas->Update() ;
st_ref = (TPaveStats*)histo_ref->FindObject("stats");
st_ref->SetTextColor(kBlue) ;
Double_t y1 = st_ref->GetY1NDC() ;
Double_t y2 = st_ref->GetY2NDC() ;
st_ref->SetY1NDC(2*y1-y2) ;
st_ref->SetY2NDC(y1) ;
//Double_t x1 = st_ref->GetX1NDC() ;
//Double_t x2 = st_ref->GetX2NDC() ;
//std::cout << "position s x1 = " << x1 << std::endl ; // 0.78 par defaut
//std::cout << "position s x2 = " << x2 << std::endl ; // 0.98 par defaut
//std::cout << "position s y1 = " << y1 << std::endl ; // 0.755 ou 0.835 par defaut
//std::cout << "position s y2 = " << y2 << std::endl ; // 0.995 par defaut
}
// Redraws
newDrawOptions = "sames " ;
newDrawOptions += (err==1?"E1 P":"hist") ;
histo_new->Draw(newDrawOptions) ;
if (st_ref!=0) st_ref->Draw() ;
if (st_new!=0) st_new->Draw() ;
// eventual log scale
//if ( (log==1) && ( (histo_new->GetEntries()>0) || ( (histo_ref!=0) && (histo_ref->GetEntries()!=0) ) ) )
// { canvas->SetLogy(1) ; }
// ne pas oublier de decommenter les 4 lignes suivantes
std::cout<<histo_name
<<" has "<<histo_new->GetEffectiveEntries()<<" entries"
<<" of mean value "<<histo_new->GetMean()
<<std::endl ;
canvas->SaveAs(gif_path.Data()) ;
web_page<<"<a href=\""<<gif_name<<"\"><img border=\"0\" class=\"image\" width=\"440\" src=\""<<gif_name<<"\"></a><br>" ;
}
// else if ((file_ref!=0)&&(histo_ref!=0))
// {
// std::cout<<histo_path<<" NOT FOUND"<<std::endl ;
// web_page<<"<br>(no such histo)" ;
// canvas->SaveAs(gif_path.Data()) ;
// web_page<<"<a href=\""<<gif_name<<"\"><img border=\"0\" class=\"image\" width=\"440\" src=\""<<gif_name<<"\"></a><br>" ;
// }
if (eol)
{ web_page<<"</td></tr>\n<tr valign=\"top\"><td><a href=\""<<CMP_URL<<"/\"><img width=\"18\" height=\"18\" border=\"0\" align=\"middle\" src=\"../../../../img/up.gif\" alt=\"Top\"/></a></td><td>" ; }
else
{ web_page<<"</td><td>" ; }
if (eoc)
{
cat = "" ;
do
{
std::getline(histo_file2,cat) ;
} while (cat.empty()) ;
}
}
histo_file2.close() ;
web_page<<"</td></tr></table>\n" ;
web_page<<"\n</html>"<<std::endl ;
web_page.close() ;
}
void flagNoiseMatrixGraphs(TString myFileName){
gSystem->cd("images/NoiseMatrix");
gSystem->cd(myFileName);
TCanvas *flagNoiseMatrixCanv = new TCanvas("flagNoiseMatrixCanv", "flagNoiseMatrixCanv", 200,10,800,800);
flagNoiseMatrixCanv->SetCanvasSize(1200,800);
flagNoiseMatrixCanv->cd();
flagNoiseMatrixGraph_1D = new TH1F("flagNoiseMatrixGraph_1D", "flagNoiseMatrixGraph_1D", 5, 0, 5);
flagNoiseMatrixGraph_1D->GetYaxis()->SetTitle("Number of flag of each type");
flagNoiseMatrixGraph_1D->GetYaxis()->SetLabelSize(0.035);
TLegend *LegNoiseMatrix = new TLegend(0.7,0.5,0.89,0.7);
LegNoiseMatrix->SetHeader("Noise Matrix Flags Definitions");
LegNoiseMatrix->SetFillColor(0);
LegNoiseMatrix->SetTextSize(0);
Calibration->UseCurrentStyle();
Calibration->Draw("flagMatrix>>flagNoiseMatrixGraph_1D");
LegNoiseMatrix->AddEntry("", "1: Good");
LegNoiseMatrix->AddEntry("", "2: High Noise");
LegNoiseMatrix->AddEntry("", "3: Low Noise" );
LegNoiseMatrix->Draw("same");
flagNoiseMatrixCanv->Update();
PrintAsGif(flagNoiseMatrixCanv, "flagNoiseMatrixGraph_1D");
///////// CHAMBER flag Graph ///////////////////////
gStyle->SetOptStat(0);
TCanvas *flagNoiseMatrixChamberCanv = new TCanvas("flagNoiseMatrixChamberCanv", "flagNoiseMatrixChamberCanv", 200,10,800,800);
flagNoiseMatrixChamberCanv->SetCanvasSize(1200,800);
//create legend
TLegend *LegNoiseMatrixChamber = new TLegend(0.85,0.8,0.98,0.98);
LegNoiseMatrixChamber->SetHeader("Noise Matrix Flags Definitions");
LegNoiseMatrixChamber->SetFillColor(0);
LegNoiseMatrixChamber->SetTextSize(0);
//final histogram for display
flagNoiseMatrixGraph_2D_Chamber = new TH2F("flagNoiseMatrixGraph_2D_Chamber", "flagNoiseMatrixGraph_2D_Chamber", 9, 0, 9, 4, 0, 4);
///dummy histo to get bin maximum
flagNoiseMatrixGraph_2D_Chamber0 = new TH2F("flagNoiseMatrixGraph_2D_Chamber0", "flagNoiseMatrixGraph_2D_Chamber0", 9, 0, 9, 4, 0, 4);
//one histo for each flag value.
flagNoiseMatrixGraph_2D_Chamber1 = new TH2F("flagNoiseMatrixGraph_2D_Chamber1", "flagNoiseMatrixGraph_2D_Chamber1", 9, 0, 9, 4, 0, 4);
flagNoiseMatrixGraph_2D_Chamber2 = new TH2F("flagNoiseMatrixGraph_2D_Chamber2", "flagNoiseMatrixGraph_2D_Chamber2", 9, 0, 9, 4, 0, 4);
flagNoiseMatrixGraph_2D_Chamber3 = new TH2F("flagNoiseMatrixGraph_2D_Chamber3", "flagNoiseMatrixGraph_2D_Chamber3", 9, 0, 9, 4, 0, 4);
flagNoiseMatrixGraph_2D_Chamber4 = new TH2F("flagNoiseMatrixGraph_2D_Chamber4", "flagNoiseMatrixGraph_2D_Chamber4", 9, 0, 9, 4, 0, 4);
//fill completley, get bin maximum, set it for overall graph
Calibration->Project("flagNoiseMatrixGraph_2D_Chamber0", "flagMatrix:cham");
Double_t binMaxValCham = flagNoiseMatrixGraph_2D_Chamber0->GetMaximum();
//normalize each box appropriately, with respect to the most filled box
flagNoiseMatrixGraph_2D_Chamber->SetMaximum(binMaxValCham);
//fill each "bin"
Calibration->Project("flagNoiseMatrixGraph_2D_Chamber1","flagMatrix:cham", "flagMatrix==1", "box");
Calibration->Project("flagNoiseMatrixGraph_2D_Chamber2","flagMatrix:cham", "flagMatrix==2", "box");
Calibration->Project("flagNoiseMatrixGraph_2D_Chamber3","flagMatrix:cham", "flagMatrix==3", "box");
//set appropriate colors
flagNoiseMatrixGraph_2D_Chamber1->SetFillColor(1);//Black for eveything is OK
flagNoiseMatrixGraph_2D_Chamber2->SetFillColor(2);//red for VERY BAD
flagNoiseMatrixGraph_2D_Chamber3->SetFillColor(3);//Green for pretty good
int idArray[9];
GetChamberIDs(idArray);
for (int chamNum = 0; chamNum<9; ++chamNum){
int chamNumPlus = chamNum + 1; //for bin access
Int_t chamber_id_int = idArray[chamNum]; //set individual id as int
std::stringstream chamber_id_stream; //define variable in intermediate format
chamber_id_stream << chamber_id_int; //convert from int to intermediate "stringstream" format
TString chamber_id_str = chamber_id_stream.str(); //convert from stream into string
if (chamber_id_str.BeginsWith("220")==0 ){ //binary check, i.e. if the string doesn't begin with 220
chamber_id_str=0; //clean out; set to 0.
}else{
chamber_id_str.Remove(8,8); //remove 0 at end
chamber_id_str.Remove(0,3); //remove 220 at beginning
}
flagNoiseMatrixGraph_2D_Chamber->GetXaxis()->SetBinLabel(chamNumPlus,chamber_id_str); //set bins to have chamber names
}
flagNoiseMatrixGraph_2D_Chamber->GetYaxis()->SetTitle("Flag");
flagNoiseMatrixGraph_2D_Chamber->GetXaxis()->SetTitle("Chamber");
flagNoiseMatrixChamberCanv->cd();
//draw original histogram, empty
flagNoiseMatrixGraph_2D_Chamber->Draw("box");
//overlay the individual "bin" graphs
flagNoiseMatrixGraph_2D_Chamber1->Draw("samebox");
flagNoiseMatrixGraph_2D_Chamber2->Draw("samebox");
flagNoiseMatrixGraph_2D_Chamber3->Draw("samebox");
flagNoiseMatrixGraph_2D_Chamber4->Draw("samebox");
//set legend entries appropriately
LegNoiseMatrixChamber->AddEntry(flagNoiseMatrixGraph_2D_Chamber1, "Good", "f");
LegNoiseMatrixChamber->AddEntry(flagNoiseMatrixGraph_2D_Chamber2, "High Noise", "f");
LegNoiseMatrixChamber->AddEntry(flagNoiseMatrixGraph_2D_Chamber3, "Low noise", "f");
LegNoiseMatrixChamber->Draw("same");
//print as gif
PrintAsGif(flagNoiseMatrixChamberCanv, "flagNoiseMatrixChamber");
gStyle->SetOptStat(0);gSystem->cd("../../../");
directoryCheck();
}
int main(int argc, char* argv[]) {
TH1::SetDefaultSumw2();
ProgramOptions options(argc, argv);
double lumi = options.lumi;
// input datasets
Datasets datasets(options.iDir);
datasets.readFile(options.datasetFile);
// output file
TFile* ofile = TFile::Open( (options.oDir+std::string("/ZMuMufromW.root")).c_str(), "RECREATE");
std::string oDir = options.oDir + std::string("/ZmumuFromW");
if (oDir!="") {
boost::filesystem::path opath(oDir);
if (!exists(opath)) {
std::cout << "Creating output directory : " << oDir << std::endl;
boost::filesystem::create_directory(opath);
}
std::cout << "Writing results to " << oDir << std::endl;
}
// cuts
Cuts cuts;
unsigned nCutsZMuMu = cuts.nCutsZMuMu();
TCut puWeight("puWeight");
TCut trigCorr( "(trigCorrWeight>0) ? trigCorrWeight : 1." );
// For lepton weights
TCut muTightWeight = cuts.muTightWeight(options.leptCorr);
TCut lVetoWeight = cuts.elVetoWeight(options.leptCorr) * cuts.muVetoWeight(options.leptCorr);
TCut METNo2Muon130("metNo2Muon>130.");
TCut cutLoDPhi = cuts.cut("dPhiJJ");
TCut cutHiDPhi("vbfDPhi>2.6");
TCut cutMe1DPhi("vbfDPhi>1.0 && vbfDPhi<=1.8");
TCut cutMe2DPhi("vbfDPhi>1.8 && vbfDPhi<=2.6");
// histograms
double dphiEdges[5] = { 0., 1.0, 1.8, 2.6, TMath::Pi() };
// Observed signal MET>130
TH1D* hZ_DY_C_DPhi = new TH1D("hZ_DY_C_DPhi", "", 4, dphiEdges); // Z+jets MC ctrl region
TH1D* hZ_BG_ZC_DPhi = new TH1D("hZ_BG_ZC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hZ_Data_ZC_DPhi = new TH1D("hZ_Data_ZC_DPhi", "", 4, dphiEdges); // Data ctrl region
// Predicted from Wmunu
TH1D* hZ_W_C_DPhi = new TH1D("hZ_W_C_DPhi", "", 4, dphiEdges); // W+jets MC ctrl region
TH1D* hZ_BG_WC_DPhi = new TH1D("hZ_BG_WC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hZ_Data_WC_DPhi = new TH1D("hZ_Data_WC_DPhi", "", 4, dphiEdges); // Data W ctrl region
TH1D* hZ_W_EffMu_D = new TH1D("hZ_W_EffMu_D", "", 1, 0., 1.); // denominator of MuMu efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_W_EffMu_N = new TH1D("hZ_W_EffMu_N", "", 1, 0., 1.); // numerator of MuMu efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_DY_EffMuMu_D = new TH1D("hZ_DY_EffMuMu_D", "", 1, 0., 1.); // denominator of MuMu efficiency from DY + DY_EWK samples
TH1D* hZ_DY_EffMuMu_N = new TH1D("hZ_DY_EffMuMu_N", "", 1, 0., 1.); // numerator of MuMu efficiency from DY + DY_EWK samples
TH1D* hZ_DY_EffVBFS_D = new TH1D("hZ_DY_EffVBFS_D", "", 1, 0., 1.); // denominator of VBF(S) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
//TH1D* hZ_DY_EffVBFS_N = new TH1D("hZ_DY_EffVBFS_N", "", 1, 0., 1.); // numerator of VBF(S) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_DY_EffVBFS_NLo = new TH1D("hZ_DY_EffVBFS_NLo", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NHi = new TH1D("hZ_DY_EffVBFS_NHi", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NMe1 = new TH1D("hZ_DY_EffVBFS_NMe1", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NMe2 = new TH1D("hZ_DY_EffVBFS_NMe2", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_D = new TH1D("hZ_W_EffVBFC_D", "", 1, 0., 1.); // denominator of VBF(C) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
//TH1D* hZ_W_EffVBFC_N = new TH1D("hZ_W_EffVBFC_N", "", 1, 0., 1.); // numerator of VBF(C) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_W_EffVBFC_NLo = new TH1D("hZ_W_EffVBFC_NLo", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NHi = new TH1D("hZ_W_EffVBFC_NHi", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NMe1 = new TH1D("hZ_W_EffVBFC_NMe1", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NMe2 = new TH1D("hZ_W_EffVBFC_NMe2", "", 1, 0., 1.);
// loop over MC datasets
for (unsigned i=0; i<datasets.size(); ++i) {
Dataset dataset = datasets.getDataset(i);
TCut cutD = cuts.cutDataset(dataset.name);
TCut wWeight("");
// bit of a fudge for mutight weight - data doesn't have the var in it, so need to add an exception (see below)
// and then restore it for all other MC
muTightWeight=cuts.muTightWeight(options.leptCorr);
// check if it's DYJets
bool isDY = false;
bool isWJets = false;
bool isQCD = false;
bool isEwkW = false;
if (dataset.name.compare(0,2,"DY")==0) {
isDY = true;
std::cout << "Analysing DY->ll MC : " << dataset.name << std::endl;
}
else if (dataset.name == "WJets" ||
dataset.name == "W1Jets" ||
dataset.name == "W2Jets" ||
dataset.name == "W3Jets" ||
dataset.name == "W4Jets" ||
dataset.name == "EWK_Wp2Jets" ||
dataset.name == "EWK_Wm2Jets") {
if (dataset.name == "EWK_Wp2Jets" || dataset.name == "EWK_Wm2Jets") isEwkW = true;
else isWJets = true;
if(isWJets) wWeight = cuts.wWeight();
std::cout << "Analysing W MC : " << dataset.name << std::endl;
}
else if (dataset.name.compare(0,3,"QCD")==0) {
isQCD = true;
std::cout << "Analysing QCD : " << dataset.name << std::endl;
}
else if (dataset.isData) {
muTightWeight="";
std::cout << "Analysing Data : " << dataset.name << std::endl;
}
else {
std::cout << "Analysing BG MC : " << dataset.name << std::endl;
}
// get file & tree
TFile* file = datasets.getTFile(dataset.name);
TTree* tree = (TTree*) file->Get("invHiggsInfo/InvHiggsInfo");
// set up cuts
TCut otherCuts = puWeight * trigCorr * wWeight;
TCut cutZMuMu_C = otherCuts * muTightWeight * (cutD + cuts.zMuMuVBF() + METNo2Muon130);
TCut cutWMuNu_C = otherCuts * muTightWeight * (cutD + cuts.wMuVBF() + cuts.cutWMu("MET"));
// eps_mu from W trigger samples
TCut cutEfficiencyMu_D = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen());
TCut cutEfficiencyMu_N = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu"));
TCut cutEfficiencyMuMu_D = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen());
TCut cutEfficiencyMuMu_N = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco());
// eps_VBFS from DY-Trig
TCut cutEfficiencyVBFS_D = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco());
//TCut cutEfficiencyVBFS_N = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130);
TCut cutEfficiencyVBFS_NLoDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutLoDPhi);
TCut cutEfficiencyVBFS_NHiDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutHiDPhi);
TCut cutEfficiencyVBFS_NMe1DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutMe1DPhi);
TCut cutEfficiencyVBFS_NMe2DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutMe2DPhi);
// eps_VBFC from W
TCut cutEfficiencyVBFC_D = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu"));
//TCut cutEfficiencyVBFC_N = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET"));
TCut cutEfficiencyVBFC_NLoDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutLoDPhi);
TCut cutEfficiencyVBFC_NHiDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutHiDPhi);
TCut cutEfficiencyVBFC_NMe1DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutMe1DPhi);
TCut cutEfficiencyVBFC_NMe2DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutMe2DPhi);
// fill tmp histograms for BG estimation
//observed
//TH1D* hZ_ZC_noDPhi = new TH1D("hZ_ZC_noDPhi", "", 1, 0., 1.);
TH1D* hZ_ZC_DPhi = new TH1D("hZ_ZC_DPhi", "", 4, dphiEdges);
//predicted
//TH1D* hZ_WC_noDPhi = new TH1D("hZ_WC_noDPhi", "", 1, 0., 1.);
TH1D* hZ_WC_DPhi = new TH1D("hZ_WC_DPhi", "", 4, dphiEdges); // this is for the actual BG estimation
// fill tmp histograms for efficiency calculation
TH1D* hZ_EffMuMu_D = new TH1D("hZ_EffMuMu_D", "", 1, 0., 1.);
TH1D* hZ_EffMuMu_N = new TH1D("hZ_EffMuMu_N", "", 1, 0., 1.);
TH1D* hZ_EffMu_D = new TH1D("hZ_EffMu_D", "", 1, 0., 1.);
TH1D* hZ_EffMu_N = new TH1D("hZ_EffMu_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_D = new TH1D("hZ_EffVBFS_D", "", 1, 0., 1.);
//TH1D* hZ_EffVBFS_N = new TH1D("hZ_EffVBFS_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NLo = new TH1D("hZ_EffVBFS_NLo", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NHi = new TH1D("hZ_EffVBFS_NHi", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NMe1 = new TH1D("hZ_EffVBFS_NMe1","", 1, 0., 1.);
TH1D* hZ_EffVBFS_NMe2 = new TH1D("hZ_EffVBFS_NMe2","", 1, 0., 1.);
TH1D* hZ_EffVBFC_D = new TH1D("hZ_EffVBFC_D", "", 1, 0., 1.);
//TH1D* hZ_EffVBFC_N = new TH1D("hZ_EffVBFC_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NLo = new TH1D("hZ_EffVBFC_NLo", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NHi = new TH1D("hZ_EffVBFC_NHi", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NMe1 = new TH1D("hZ_EffVBFC_NMe1","", 1, 0., 1.);
TH1D* hZ_EffVBFC_NMe2 = new TH1D("hZ_EffVBFC_NMe2","", 1, 0., 1.);
// W control region DY is BG
if (isDY) {
//tree->Draw("0.5>>hZ_ZC_noDPhi", cutZMuMu_C);
tree->Draw("vbfDPhi>>hZ_ZC_DPhi", cutZMuMu_C);
//tree->Draw("0.5>>hZ_WC_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
tree->Draw("0.5>>hZ_EffMuMu_D", cutEfficiencyMuMu_D);
tree->Draw("0.5>>hZ_EffMuMu_N", cutEfficiencyMuMu_N);
tree->Draw("0.5>>hZ_EffVBFS_D", cutEfficiencyVBFS_D);
//tree->Draw("0.5>>hZ_EffVBFS_N", cutEfficiencyVBFS_N);
tree->Draw("0.5>>hZ_EffVBFS_NLo", cutEfficiencyVBFS_NLoDPhi);
tree->Draw("0.5>>hZ_EffVBFS_NHi", cutEfficiencyVBFS_NHiDPhi);
tree->Draw("0.5>>hZ_EffVBFS_NMe1", cutEfficiencyVBFS_NMe1DPhi);
tree->Draw("0.5>>hZ_EffVBFS_NMe2", cutEfficiencyVBFS_NMe2DPhi);
}
else if(isWJets || isEwkW) {
//tree->Draw("0.5>>hZ_WC_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
tree->Draw("0.5>>hZ_EffMu_D", cutEfficiencyMu_D);
tree->Draw("0.5>>hZ_EffMu_N", cutEfficiencyMu_N);
tree->Draw("0.5>>hZ_EffVBFC_D", cutEfficiencyVBFC_D);
//tree->Draw("0.5>>hZ_EffVBFC_N", cutEfficiencyVBFC_N);
tree->Draw("0.5>>hZ_EffVBFC_NLo", cutEfficiencyVBFC_NLoDPhi);
tree->Draw("0.5>>hZ_EffVBFC_NHi", cutEfficiencyVBFC_NHiDPhi);
tree->Draw("0.5>>hZ_EffVBFC_NMe1", cutEfficiencyVBFC_NMe1DPhi);
tree->Draw("0.5>>hZ_EffVBFC_NMe2", cutEfficiencyVBFC_NMe2DPhi);
}
else if(isQCD) {
//tree->Draw("0.5>>hZ_C_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
}
else {
tree->Draw("vbfDPhi>>hZ_ZC_DPhi", cutZMuMu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
}
// weight to lumi
double weight = (dataset.isData) ? 1. : lumi * dataset.sigma / dataset.nEvents;
hZ_ZC_DPhi->Scale(weight);
hZ_WC_DPhi->Scale(weight);
hZ_EffVBFS_D->Scale(weight);
//hZ_EffVBFS_N->Scale(weight);
hZ_EffVBFS_NLo->Scale(weight);
hZ_EffVBFS_NHi->Scale(weight);
hZ_EffVBFS_NMe1->Scale(weight);
hZ_EffVBFS_NMe2->Scale(weight);
hZ_EffVBFC_D->Scale(weight);
//hZ_EffVBFC_N->Scale(weight);
hZ_EffVBFC_NLo->Scale(weight);
hZ_EffVBFC_NHi->Scale(weight);
hZ_EffVBFC_NMe1->Scale(weight);
hZ_EffVBFC_NMe2->Scale(weight);
hZ_EffMu_D->Scale(weight);
hZ_EffMu_N->Scale(weight);
hZ_EffMuMu_D->Scale(weight);
hZ_EffMuMu_N->Scale(weight);
// add to output histograms
if (dataset.isData) {
hZ_Data_ZC_DPhi->Add(hZ_ZC_DPhi);
hZ_Data_WC_DPhi->Add(hZ_WC_DPhi);
}
else if (isWJets || isEwkW) {
//hZ_W_C_noDPhi->Add(hZ_C_noDPhi);
hZ_W_C_DPhi->Add(hZ_WC_DPhi);
hZ_W_EffMu_D->Add(hZ_EffMu_D);
hZ_W_EffMu_N->Add(hZ_EffMu_N);
hZ_W_EffVBFC_D->Add(hZ_EffVBFC_D);
//hZ_W_EffVBFC_N->Add(hZ_EffVBFC_N);
hZ_W_EffVBFC_NLo->Add(hZ_EffVBFC_NLo);
hZ_W_EffVBFC_NHi->Add(hZ_EffVBFC_NHi);
hZ_W_EffVBFC_NMe1->Add(hZ_EffVBFC_NMe1);
hZ_W_EffVBFC_NMe2->Add(hZ_EffVBFC_NMe2);
}
else if (isDY) {
hZ_DY_C_DPhi->Add(hZ_ZC_DPhi);
hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
hZ_DY_EffMuMu_D->Add(hZ_EffMuMu_D);
hZ_DY_EffMuMu_N->Add(hZ_EffMuMu_N);
hZ_DY_EffVBFS_D->Add(hZ_EffVBFS_D);
//hZ_DY_EffVBFS_N->Add(hZ_EffVBFS_N);
hZ_DY_EffVBFS_NLo->Add(hZ_EffVBFS_NLo);
hZ_DY_EffVBFS_NHi->Add(hZ_EffVBFS_NHi);
hZ_DY_EffVBFS_NMe1->Add(hZ_EffVBFS_NMe1);
hZ_DY_EffVBFS_NMe2->Add(hZ_EffVBFS_NMe2);
}
else if (isQCD) {
//hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
}
else {
hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
hZ_BG_ZC_DPhi->Add(hZ_ZC_DPhi);
}
std::cout << " N_Z ctrl (dphi<1.0) : " << hZ_ZC_DPhi->GetBinContent(1) << " +/- " << hZ_ZC_DPhi->GetBinError(1) << std::endl;
std::cout << " N_W ctrl (dphi<1.0) : " << hZ_WC_DPhi->GetBinContent(1) << " +/- " << hZ_WC_DPhi->GetBinError(1) << std::endl;
delete hZ_WC_DPhi;
delete hZ_ZC_DPhi;
delete hZ_EffMuMu_D;
delete hZ_EffMuMu_N;
delete hZ_EffMu_D;
delete hZ_EffMu_N;
delete hZ_EffVBFS_D;
//delete hZ_EffVBFS_N;
delete hZ_EffVBFS_NLo;
delete hZ_EffVBFS_NMe1;
delete hZ_EffVBFS_NMe2;
delete hZ_EffVBFS_NHi;
delete hZ_EffVBFC_D;
//delete hZ_EffVBFC_N;
delete hZ_EffVBFC_NLo;
delete hZ_EffVBFC_NMe1;
delete hZ_EffVBFC_NMe2;
delete hZ_EffVBFC_NHi;
// clean up
delete tree;
file->Close();
}
// numbers - calculate these from MC in this program later!
//double ratioBF = 5.626; // MCFM + NLO
double ratioBF = 1144./14428.;
TH1D* hZ_Est_ZC_DPhi = new TH1D("hZ_Est_ZC_DPhi", "", 4, dphiEdges);
// bins dPhi
TH1D* hZ_Est_WC_DPhi = new TH1D("hZ_Est_WC_DPhi", "", 4, dphiEdges);
TH1D* hZ_Est_WS_DPhi = new TH1D("hZ_Est_WS_DPhi", "", 4, dphiEdges);
TH1D* hZ_Eff_WS_DPhi = new TH1D("hZ_Eff_WS_DPhi", "", 4, dphiEdges);
TH1D* hZ_W_EffMu = new TH1D("hZ_W_EffMu", "", 1, 0., 1.); // epsilon mumu
hZ_W_EffMu->Add(hZ_W_EffMu_N);
hZ_W_EffMu->Divide(hZ_W_EffMu_D);
//double mu_syst = 0.025*hZ_W_EffMu->GetBinContent(1); //2.5% Muon ID/Iso efficiency uncertainty from EWK-10-002
//hZ_W_EffMu->SetBinError(1,TMath::Sqrt(hZ_W_EffMu->GetBinError(1)*hZ_W_EffMu->GetBinError(1) + mu_syst*mu_syst));
TH1D* hZ_DY_EffMuMu = new TH1D("hZ_DY_EffMuMu", "", 1, 0., 1.); // epsilon mumu
hZ_DY_EffMuMu->Add(hZ_DY_EffMuMu_N);
hZ_DY_EffMuMu->Divide(hZ_DY_EffMuMu_D);
//mu_syst = 0.025*hZ_DY_EffMuMu->GetBinContent(1); //2.5% Muon ID/Iso efficiency uncertainty from EWK-10-002
//hZ_DY_EffMuMu->SetBinError(1,TMath::Sqrt(hZ_DY_EffMuMu->GetBinError(1)*hZ_DY_EffMuMu->GetBinError(1) + mu_syst*mu_syst));
//TH1D* hZ_DY_EffVBFS = new TH1D("hZ_DY_EffVBFS", "", 1, 0., 1.); // epsilon_s_vbf
TH1D* hZ_DY_EffVBFSLo = new TH1D("hZ_DY_EffVBFSLo", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSHi = new TH1D("hZ_DY_EffVBFSHi", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSMe1 = new TH1D("hZ_DY_EffVBFSMe1", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSMe2 = new TH1D("hZ_DY_EffVBFSMe2", "", 1, 0., 1.);
//TH1D* hZ_W_EffVBFC = new TH1D("hZ_W_EffVBFC", "", 1, 0., 1.); // epsilon_c_vbf
TH1D* hZ_W_EffVBFCLo = new TH1D("hZ_W_EffVBFCLo", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCHi = new TH1D("hZ_W_EffVBFCHi", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCMe1 = new TH1D("hZ_W_EffVBFCMe1", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCMe2 = new TH1D("hZ_W_EffVBFCMe2", "", 1, 0., 1.);
//TH1D* hZ_W_RatioVBF = new TH1D("hZ_W_RatioVBF", "", 1, 0., 1.); // epsilon_s_vbf/epsilon_c_vbf
TH1D* hZ_W_RatioVBFLo = new TH1D("hZ_W_RatioVBFLo", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFHi = new TH1D("hZ_W_RatioVBFHi", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFMe1 = new TH1D("hZ_W_RatioVBFMe1", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFMe2 = new TH1D("hZ_W_RatioVBFMe2", "", 1, 0., 1.);
//TH1D* hZ_W_TotalEff = new TH1D("hZ_W_TotalEff", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffLo = new TH1D("hZ_W_TotalEffLo", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffMe1 = new TH1D("hZ_W_TotalEffMe1", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffMe2 = new TH1D("hZ_W_TotalEffMe2", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffHi = new TH1D("hZ_W_TotalEffHi", "", 1, 0., 1.);
//hZ_DY_EffVBFS->Add(hZ_DY_EffVBFS_N);
//hZ_DY_EffVBFS->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSLo->Add(hZ_DY_EffVBFS_NLo);
hZ_DY_EffVBFSLo->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSHi->Add(hZ_DY_EffVBFS_NHi);
hZ_DY_EffVBFSHi->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSMe1->Add(hZ_DY_EffVBFS_NMe1);
hZ_DY_EffVBFSMe1->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSMe2->Add(hZ_DY_EffVBFS_NMe2);
hZ_DY_EffVBFSMe2->Divide(hZ_DY_EffVBFS_D);
//hZ_W_EffVBFC->Add(hZ_W_EffVBFC_N);
//hZ_W_EffVBFC->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCLo->Add(hZ_W_EffVBFC_NLo);
hZ_W_EffVBFCLo->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCMe1->Add(hZ_W_EffVBFC_NMe1);
hZ_W_EffVBFCMe1->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCMe2->Add(hZ_W_EffVBFC_NMe2);
hZ_W_EffVBFCMe2->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCHi->Add(hZ_W_EffVBFC_NHi);
hZ_W_EffVBFCHi->Divide(hZ_W_EffVBFC_D);
//hZ_W_RatioVBF->Add(hZ_DY_EffVBFS);
//hZ_W_RatioVBF->Divide(hZ_W_EffVBFC);
hZ_W_RatioVBFLo->Add(hZ_DY_EffVBFSLo);
hZ_W_RatioVBFLo->Divide(hZ_W_EffVBFCLo);
hZ_W_RatioVBFMe1->Add(hZ_DY_EffVBFSMe1);
hZ_W_RatioVBFMe1->Divide(hZ_W_EffVBFCMe1);
hZ_W_RatioVBFMe2->Add(hZ_DY_EffVBFSMe2);
hZ_W_RatioVBFMe2->Divide(hZ_W_EffVBFCMe2);
hZ_W_RatioVBFHi->Add(hZ_DY_EffVBFSHi);
hZ_W_RatioVBFHi->Divide(hZ_W_EffVBFCHi);
hZ_W_TotalEffLo->Add(hZ_W_RatioVBFLo);
hZ_W_TotalEffLo->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffLo->Divide(hZ_W_EffMu);
hZ_W_TotalEffMe1->Add(hZ_W_RatioVBFMe1);
hZ_W_TotalEffMe1->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffMe1->Divide(hZ_W_EffMu);
hZ_W_TotalEffMe2->Add(hZ_W_RatioVBFMe2);
hZ_W_TotalEffMe2->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffMe2->Divide(hZ_W_EffMu);
hZ_W_TotalEffHi->Add(hZ_W_RatioVBFHi);
hZ_W_TotalEffHi->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffHi->Divide(hZ_W_EffMu);
//hZ_Eff_S_noDPhi->Add(hZ_W_RatioVBF);
//hZ_Eff_S_noDPhi->Divide(hZ_W_EffMu);
hZ_Eff_WS_DPhi->SetBinContent(1,hZ_W_TotalEffLo->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(1,hZ_W_TotalEffLo->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(2,hZ_W_TotalEffMe1->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(2,hZ_W_TotalEffMe1->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(3,hZ_W_TotalEffMe2->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(3,hZ_W_TotalEffMe2->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(4,hZ_W_TotalEffHi->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(4,hZ_W_TotalEffHi->GetBinError(1));
//for(int ibin = 1; ibin <= hZ_Eff_S_DPhi->GetNbinsX(); ++ibin) {
// hZ_Eff_S_DPhi->SetBinContent(ibin,hZ_W_TotalEff->GetBinContent(1));
// hZ_Eff_S_DPhi->SetBinError (ibin,hZ_W_TotalEff->GetBinError(1));
//}
// Observed
hZ_Est_ZC_DPhi->Add(hZ_Data_ZC_DPhi, hZ_BG_ZC_DPhi, 1., -1.);
// Predicted
hZ_Est_WC_DPhi->Add(hZ_Data_WC_DPhi, hZ_BG_WC_DPhi, 1., -1.);
hZ_Est_WS_DPhi->Add(hZ_Est_WC_DPhi,ratioBF);
hZ_Est_WS_DPhi->Multiply(hZ_Eff_WS_DPhi);
// print out
std::cout << std::endl;
std::cout << "##################################### Cross-check with W mu ctrl region #####################################" << std::endl;
std::cout << std::endl;
std::cout << " eps_mumu by histogram : " << hZ_DY_EffMuMu->GetBinContent(1) << " +/- " << hZ_DY_EffMuMu->GetBinError(1) << std::endl;
std::cout << " eps_mu by histogram : " << hZ_W_EffMu->GetBinContent(1) << " +/- " << hZ_W_EffMu->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << "dphi < 1.0" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSLo->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSLo->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCLo->GetBinContent(1) << " +/- " << hZ_W_EffVBFCLo->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFLo->GetBinContent(1) << " +/- " << hZ_W_RatioVBFLo->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(1) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(1) << " +/- " << hZ_W_C_DPhi->GetBinError(1) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(1) << " +/- " << hZ_BG_WC_DPhi->GetBinError(1) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(1) << " +/- " << hZ_Data_WC_DPhi->GetBinError(1) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(1) << " +/- " << hZ_Est_WC_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(1) << " +/- " << hZ_Est_WS_DPhi->GetBinError(1) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(1) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 1.0 dphi < 1.8" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSMe1->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSMe1->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCMe1->GetBinContent(1) << " +/- " << hZ_W_EffVBFCMe1->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFMe1->GetBinContent(1) << " +/- " << hZ_W_RatioVBFMe1->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(2) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(2) << " +/- " << hZ_W_C_DPhi->GetBinError(2) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(2) << " +/- " << hZ_BG_WC_DPhi->GetBinError(2) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(2) << " +/- " << hZ_Data_WC_DPhi->GetBinError(2) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(2) << " +/- " << hZ_Est_WC_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(2) << " +/- " << hZ_Est_WS_DPhi->GetBinError(2) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(2) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 1.8 dphi < 2.6" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSMe2->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSMe2->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCMe2->GetBinContent(1) << " +/- " << hZ_W_EffVBFCMe2->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFMe2->GetBinContent(1) << " +/- " << hZ_W_RatioVBFMe2->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(3) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(3) << " +/- " << hZ_W_C_DPhi->GetBinError(3) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(3) << " +/- " << hZ_BG_WC_DPhi->GetBinError(3) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(3) << " +/- " << hZ_Data_WC_DPhi->GetBinError(3) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(3) << " +/- " << hZ_Est_WC_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(3) << " +/- " << hZ_Est_WS_DPhi->GetBinError(3) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(3) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 2.6" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSHi->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSHi->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCHi->GetBinContent(1) << " +/- " << hZ_W_EffVBFCHi->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFHi->GetBinContent(1) << " +/- " << hZ_W_RatioVBFHi->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(4) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(4) << " +/- " << hZ_W_C_DPhi->GetBinError(4) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(4) << " +/- " << hZ_BG_WC_DPhi->GetBinError(4) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(4) << " +/- " << hZ_Data_WC_DPhi->GetBinError(4) << std::endl;
std::cout << " Data - BG region : " << hZ_Est_WC_DPhi->GetBinContent(4) << " +/- " << hZ_Est_WC_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(4) << " +/- " << hZ_Est_WS_DPhi->GetBinError(4) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(4) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << "#####################################################################################" << std::endl;
std::cout << std::endl;
// draw control plots
std::string pdfName;
gStyle->SetOptStat(0);
gStyle->SetOptFit(111111111);
double x1[4] = {0.5, 1.4, 2.2, 2.6 + (TMath::Pi()-2.6)/2};
double ex1[4] = {0.5, 0.4, 0.4, (TMath::Pi()-2.6)/2};
double y1[4],ey1[4],y2[4],ey2[4],y3[4],ey3[4];
double diff[4],ediff[4];
double frac[4],efrac[4];
double y_syst[4],e_syst[4];
for(int i=0; i<4; ++i) {
y1[i] = hZ_Est_WS_DPhi->GetBinContent(i+1); //Prediction
ey1[i] = hZ_Est_WS_DPhi->GetBinError(i+1);
y2[i] = hZ_Est_ZC_DPhi->GetBinContent(i+1); //Observation
ey2[i] = hZ_Est_ZC_DPhi->GetBinError(i+1);
y3[i] = hZ_DY_C_DPhi->GetBinContent(i+1); //MC Prediction
ey3[i] = hZ_DY_C_DPhi->GetBinError(i+1);
diff[i] = y1[i]-y2[i];
ediff[i] = sqrt(ey1[i]*ey1[i] + ey2[i]*ey2[i]);
y_syst[i] = 0.;
e_syst[i] = 0.21;
if(y1[i] > 0) frac[i] = (y1[i]-y2[i])/y2[i];
efrac[i] = (y1[i]/y2[i])*sqrt(pow(ey1[i]/y1[i],2) + pow(ey2[i]/y2[i],2));
}
TGraphErrors *graph1 = new TGraphErrors(4,x1,y1,ex1,ey1);
TGraphErrors *graph2 = new TGraphErrors(4,x1,y2,ex1,ey2);
TGraphErrors *graph6 = new TGraphErrors(4,x1,y3,ex1,ey3);
TGraphErrors *graph3 = new TGraphErrors(4,x1,diff,ex1,ediff);
TGraphErrors *graph4 = new TGraphErrors(4,x1,frac,ex1,efrac);
TGraphErrors *graph5 = new TGraphErrors(4,x1,y_syst,ex1,e_syst);
TH1D *h = new TH1D("h", "", 1, 0, TMath::Pi());
TCanvas canvas;
canvas.SetCanvasSize(canvas.GetWindowWidth(), 1.2*canvas.GetWindowHeight());
graph1->SetTitle("");
graph1->SetMarkerStyle(20);
graph1->SetMarkerSize(0.9);
graph1->SetLineColor(kRed);
graph1->SetMarkerColor(kRed);
graph1->GetXaxis()->SetTitle("#Delta #phi_{jj}");
graph1->GetXaxis()->SetRangeUser(0,TMath::Pi());
graph1->GetYaxis()->SetTitle("N(Z#rightarrow #mu#mu)");
graph1->GetYaxis()->SetRangeUser(0,45);
graph1->Draw("AP");
graph2->SetMarkerStyle(20);
graph2->SetMarkerSize(0.9);
graph2->SetLineColor(kBlue);
graph2->SetMarkerColor(kBlue);
graph2->Draw("P same");
graph6->SetMarkerStyle(20);
graph6->SetMarkerSize(0.9);
graph6->SetLineColor(kViolet);
graph6->SetMarkerColor(kViolet);
graph6->Draw("P same");
TLegend leg(0.12,0.67,0.37,0.88);
leg.SetBorderSize(0);
leg.SetFillColor(0);
leg.AddEntry(graph1,"predicted (data)","P");
leg.AddEntry(graph2,"observed (data)","P");
leg.AddEntry(graph6,"predicted (MC)","P");
leg.Draw();
pdfName= oDir + std::string("/Zmumu_num.pdf");
canvas.Print(pdfName.c_str());
h->GetXaxis()->SetTitle("#Delta #phi_{jj}");
h->GetYaxis()->SetTitle("Predicted - Observed");
h->GetYaxis()->SetRangeUser(-20,20);
h->SetLineColor(kBlue);
h->Draw();
graph3->SetMarkerStyle(20);
graph3->SetMarkerSize(0.9);
graph3->SetMarkerColor(kGreen-2);
TF1 *f1 = new TF1("f1","pol0",0,TMath::Pi());
graph3->Fit("f1","R");
h->Draw();
graph3->Draw("SAMEP");
pdfName= oDir + std::string("/Zmumu_diff.pdf");
canvas.Print(pdfName.c_str());
h->GetXaxis()->SetTitle("#Delta #phi_{jj}");
h->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h->GetYaxis()->SetTitleOffset(1.2);
h->GetYaxis()->SetRangeUser(-2,2);
h->SetLineColor(kBlue);
h->SetLineWidth(2);
h->Draw();
graph5->SetLineColor(kGray+2);
graph5->SetLineWidth(0);
graph5->SetFillColor(kGray+2);
graph5->SetFillStyle(3002);
graph4->SetMarkerStyle(20);
graph4->SetMarkerSize(1.2);
graph4->SetMarkerColor(kGreen-2);
graph4->Fit("f1","R");
h->Draw();
graph5->Draw("2 same");
graph4->Draw("P same");
TLegend leg2(0.12,0.67,0.40,0.87);
leg2.SetBorderSize(0);
leg2.SetFillColor(0);
leg2.AddEntry(f1,"pol0 fit (0 < #Delta #phi_{jj} < #pi)","l");
leg2.AddEntry(graph5,"Systematic error","f");
leg2.Draw();
pdfName= oDir + std::string("/Zmumu_frac.pdf");
canvas.Print(pdfName.c_str());
//store histograms
ofile->cd();
hZ_DY_C_DPhi->Write("",TObject::kOverwrite);
hZ_BG_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_Data_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_W_C_DPhi->Write("",TObject::kOverwrite);
hZ_BG_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Data_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_WS_DPhi->Write("",TObject::kOverwrite);
hZ_Eff_WS_DPhi->Write("",TObject::kOverwrite);
hZ_DY_EffMuMu_D->Write("",TObject::kOverwrite);
hZ_DY_EffMuMu_N->Write("",TObject::kOverwrite);
hZ_W_EffMu_D->Write("",TObject::kOverwrite);
hZ_W_EffMu_N->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_D->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NLo->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NMe1->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NMe2->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NHi->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_D->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NLo->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NMe1->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NMe2->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NHi->Write("",TObject::kOverwrite);
hZ_W_EffMu->Write("",TObject::kOverwrite);
//hZ_DY_EffVBFS->Write("",TObject::kOverwrite);
//hZ_W_EffVBFC->Write("",TObject::kOverwrite);
//hZ_W_RatioVBF->Write("",TObject::kOverwrite);
//hZ_W_TotalEff->Write("",TObject::kOverwrite);
ofile->Close();
}
