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Copy pathSmurfTableWWXSec.cc
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SmurfTableWWXSec.cc
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#include "SmurfTableWWXSec.h"
#include "core/SmurfPlotUtilities.h"
#include "SmurfScaleFactors.h"
#include "TROOT.h"
#include "TLegend.h"
#include "THStack.h"
#include "TLatex.h"
#include "TLine.h"
#include <fstream>
float GetLuminosity()
{
return 19467;
//return (5098. - 3553.);
// first 3.5 fb
// return 3553;
// fill 5.1 fb
//return 5098;
// 2012A
//return 619;
// 2012B
//return 4431;
}
float GetLumiSystematic()
{
return 0.044;
}
float GetJetVetoEffScaleFactor()
{
// no jet veto scale factor
// is to be applied
return 1.00;
}
float GetBackgroundEstimationSystematic(Option option ,DataType dataType, unsigned int jetbin, std::string flavor)
{
//
// for SS closure test
//
if (option == HWW_OPT_SSCTL) {
if (dataType == GGWW || dataType == QQWW || dataType == VV || dataType == WZ || dataType == ZZ) return 0.1;
if (dataType == TOP) return 0.2;
if (dataType == WGAMMA || dataType == WGAMMANORM || dataType == WG3L) return 0.3;
if (dataType == ZLL || dataType == ZJETS) return 0.3;
}
//
// systematics for MC derived processes
//
double lumi = GetLumiSystematic();
double ptScale = 0.015;
double met = 0.020;
double pu = 0.023;
double trigger = 0.015;
double jetVeto = 0.047;
double perElectron = 0.020;
double perMuon = 0.015;
double lepton = 2 * perMuon;
if (flavor == "ee") lepton = 2 * perElectron;
if (flavor == "em" || flavor == "me") lepton = sqrt(pow(perElectron, 2) + pow(perMuon, 2));
double mcSyst2 = pow(lepton, 2) + pow(trigger, 2) + pow(jetVeto, 2)
+ pow(met, 2) + pow(pu, 2) + pow(lumi, 2) + pow(ptScale, 2);
double mcSystNoLumi2 = pow(lepton, 2) + pow(trigger, 2) + pow(jetVeto, 2)
+ pow(met, 2) + pow(pu, 2) + pow(ptScale, 2);
//
// Drell-Yan
//
if (dataType == ZLL) {
double ZScaleFactor_[3] = {0.0, 0.0, 0.0};
double ZScaleFactorError_[3] = {0.0, 0.0, 0.0};
if ( flavor == "ee" || flavor == "mm" || flavor == "sf" )
getZScaleFactor(ZScaleFactor_, ZScaleFactorError_, option, 0.0, "sf");
else
getZScaleFactor(ZScaleFactor_, ZScaleFactorError_, option, 0.0, "of");
return ZScaleFactorError_[jetbin];
}
//
// Z+jets part (not Z->ll)...
//
if (dataType == ZJETS) {
return 0.1;
}
//
// Top
//
else if (dataType == TOP) {
double TopScaleFactor_[3] = {0.0, 0.0, 0.0};
double TopScaleFactorError_[3] = {0.0, 0.0, 0.0};
getTopScaleFactor(TopScaleFactor_, TopScaleFactorError_, option, 0.);
return TopScaleFactorError_[jetbin];
}
//
// W+Jets
//
else if (dataType == WJETSDATA || dataType == WJETSELEDATA || dataType == WJETSMUDATA) {
double WjetsScaleFactor_[3] = {0.0, 0.0, 0.0};
double WjetsScaleFactorError_[3] = {0.0, 0.0, 0.0};
getWjetsScaleFactor(WjetsScaleFactor_, WjetsScaleFactorError_, option);
return WjetsScaleFactorError_[jetbin];
}
//
// WZ
//
else if (dataType == WZ) {
return sqrt(mcSyst2 + 0.065*0.062 + 0.042*0.042);
}
//
// ZZ
//
else if (dataType == ZZ) {
return sqrt(mcSyst2 + 0.048*0.048 + 0.018*0.018);
}
//
// WGamma
//
else if (dataType == WGAMMA || dataType == WGAMMANORM) {
return 0.30;
}
//
// WGamma*
//
else if (dataType == WGAMMASTAR) {
//return sqrt(mcSyst2 + 0.30*0.30);
return sqrt(mcSyst2 + 0.40*0.40);
}
//
// qqWW
// note - this does not include lumi systematics
// because systematic on signal enters efficiency systematic
// and this should not depend on lumi
//
else if (dataType == QQWW) {
return sqrt(mcSystNoLumi2 + 0.015*0.015 + 0.023*0.023);
}
//
// ggWW
// note - this does not include lumi systematics
// because systematic on signal enters efficiency systematic
// and this should not depend on lumi
//
else if (dataType == GGWW) {
return sqrt(mcSystNoLumi2 + 0.008*0.008 + 0.3*0.3);
}
return 0.0;
}
void SetYieldsAndUncertainties(Option option, double yield[][kNDataTypes], double nwght[][kNDataTypes],
double stat2[][kNDataTypes], double syst2[][kNDataTypes],
unsigned int jetbin, std::vector<SmurfSample*> samples)
{
unsigned int binMinIdx = 1;
unsigned int binMaxIdx = 1;
if (jetbin == 1) {
binMinIdx = 2;
binMaxIdx = 2;
}
if (jetbin == 2) {
binMinIdx = 3;
binMaxIdx = 3;
}
// loop on samples
for (unsigned int s = 0; s < samples.size(); ++s) {
DataType dataType = samples[s]->getDataType();
// loop on flavor combinations
for (unsigned int i = 0; i < 4; ++i) {
std::string flav = "mm";
if (i == 1) flav = "me";
if (i == 2) flav = "em";
if (i == 3) flav = "ee";
// get results
double ytmp = 0.0;
double stmp = 0.0;
samples[s]->getResults(binMinIdx, binMaxIdx, i, ytmp, stmp);
yield[i][dataType] += ytmp;
stat2[i][dataType] += stmp*stmp;
syst2[i][dataType] += pow(ytmp * GetBackgroundEstimationSystematic(option, dataType, jetbin, flav), 2);
nwght[i][dataType] += samples[s]->getNWeights(binMinIdx, binMaxIdx, i);
} // end loop on flavors
// fill same flavor
yield[fSF][dataType] = yield[fEE][dataType] + yield[fMM][dataType];
stat2[fSF][dataType] = stat2[fEE][dataType] + stat2[fMM][dataType];
syst2[fSF][dataType] = pow(sqrt(syst2[fEE][dataType]) + sqrt(syst2[fMM][dataType]), 2);
nwght[fSF][dataType] = nwght[fEE][dataType] + nwght[fMM][dataType];
// fill e-mu
yield[fOF][dataType] = yield[fEM][dataType] + yield[fME][dataType];
stat2[fOF][dataType] = stat2[fEM][dataType] + stat2[fME][dataType];
syst2[fOF][dataType] = pow(sqrt(syst2[fEM][dataType]) + sqrt(syst2[fME][dataType]), 2);
nwght[fSF][dataType] = nwght[fEM][dataType] + nwght[fME][dataType];
// fill total
yield[fTOTAL][dataType] = yield[fEE][dataType] + yield[fEM][dataType] + yield[fME][dataType] + yield[fMM][dataType];
stat2[fTOTAL][dataType] = stat2[fEE][dataType] + stat2[fEM][dataType] + stat2[fME][dataType] + stat2[fMM][dataType];
syst2[fTOTAL][dataType] = pow(sqrt(syst2[fEE][dataType]) + sqrt(syst2[fEM][dataType]) + sqrt(syst2[fME][dataType]) + sqrt(syst2[fMM][dataType]), 2);
nwght[fTOTAL][dataType] = nwght[fEE][dataType] + nwght[fEM][dataType] + nwght[fME][dataType] + nwght[fMM][dataType];
// total up backgrounds
if (dataType != GGWW && dataType != QQWW && dataType != DATA &&
dataType != GGHWW && dataType != QQHWW && dataType != ZHWW && dataType != WHWW) {
yield[fEE][0] += yield[fEE][dataType];
yield[fEM][0] += yield[fEM][dataType];
yield[fME][0] += yield[fME][dataType];
yield[fMM][0] += yield[fMM][dataType];
yield[fSF][0] += yield[fSF][dataType];
yield[fOF][0] += yield[fOF][dataType];
yield[fTOTAL][0] += yield[fTOTAL][dataType];
stat2[fEE][0] += stat2[fEE][dataType];
stat2[fEM][0] += stat2[fEM][dataType];
stat2[fME][0] += stat2[fME][dataType];
stat2[fMM][0] += stat2[fMM][dataType];
stat2[fSF][0] += stat2[fSF][dataType];
stat2[fOF][0] += stat2[fOF][dataType];
stat2[fTOTAL][0] += stat2[fTOTAL][dataType];
syst2[fEE][0] += syst2[fEE][dataType];
syst2[fEM][0] += syst2[fEM][dataType];
syst2[fME][0] += syst2[fME][dataType];
syst2[fMM][0] += syst2[fMM][dataType];
syst2[fSF][0] += syst2[fSF][dataType];
syst2[fOF][0] += syst2[fOF][dataType];
syst2[fTOTAL][0] += syst2[fTOTAL][dataType];
nwght[fEE][0] += nwght[fEE][dataType];
nwght[fEM][0] += nwght[fEM][dataType];
nwght[fME][0] += nwght[fME][dataType];
nwght[fMM][0] += nwght[fMM][dataType];
nwght[fSF][0] += nwght[fSF][dataType];
nwght[fOF][0] += nwght[fOF][dataType];
nwght[fTOTAL][0] += nwght[fTOTAL][dataType];
}
} // end loop on saples
}
void Tabulate(Option option, std::vector<SmurfSample*> samples, std::string filename)
{
//
// set up files
//
FILE *fout_debug;
FILE *fout_pas;
fout_debug = fopen (Form("../wwresults/%s.tex_debug", filename.c_str()), "w");
fout_pas = fopen (Form("../wwresults/%s.tex", filename.c_str()), "w");
//
// print debug tables
//
PrintWWYieldTableVersion1(option, 0, samples, fout_debug);
PrintWWYieldTableVersion1(option, 1, samples, fout_debug);
PrintWWYieldTableVersion1(option, 2, samples, fout_debug);
PrintWWYieldTableVersion2(option, 0, samples, fout_debug);
PrintWWYieldTableVersion2(option, 1, samples, fout_debug);
PrintWWYieldTableVersion2(option, 2, samples, fout_debug);
//
// print document header
//
printf("[SmurfTableWWXSec::Tabulate] Writing summary tables for PAS %s\n", filename.c_str());
fprintf(fout_pas, "\\documentclass{cmspaper}\n");
fprintf(fout_pas, "\\usepackage{graphicx}\n");
fprintf(fout_pas, "\\begin{document}\n");
fprintf(fout_pas, "\\title{Summary of WW Cross Section Results}\n");
fprintf(fout_pas, "\\tableofcontents\n");
fprintf(fout_pas, "\\clearpage\n");
//
// print yield tables
//
fprintf(fout_pas, "\\section{Yields}\n");
fprintf(fout_pas, "\\subsection{Zero jet bin}\n\n");
PrintWWYieldTable(option, 0, ((1<<fMM)|(1<<fME)|(1<<fEM)|(1<<fEE)), samples, fout_pas);
PrintWWYieldTable(option, 0, (1<<fTOTAL), samples, fout_pas);
fprintf(fout_pas, "\\clearpage\n");
fprintf(fout_pas, "\\subsection{One jet bin}\n\n");
PrintWWYieldTable(option, 1, ((1<<fMM)|(1<<fME)|(1<<fEM)|(1<<fEE)), samples, fout_pas);
PrintWWYieldTable(option, 1, (1<<fTOTAL), samples, fout_pas);
fprintf(fout_pas, "\\clearpage\n");
fprintf(fout_pas, "\\subsection{Two jet bin}\n\n");
PrintWWYieldTable(option, 2, ((1<<fMM)|(1<<fME)|(1<<fEM)|(1<<fEE)), samples, fout_pas);
PrintWWYieldTable(option, 2, (1<<fTOTAL), samples, fout_pas);
fprintf(fout_pas, "\\clearpage\n");
//
// compute cross sections
//
CrossSectionResults results_0j[kLeptonTypes];
CrossSectionResults results_1j[kLeptonTypes];
CrossSectionResults results_2j[kLeptonTypes];
// zero jet
CalculateCrossSection(option, samples, fMM, 0, results_0j[fMM]);
CalculateCrossSection(option, samples, fME, 0, results_0j[fME]);
CalculateCrossSection(option, samples, fEM, 0, results_0j[fEM]);
CalculateCrossSection(option, samples, fEE, 0, results_0j[fEE]);
CalculateCrossSection(option, samples, fTOTAL, 0, results_0j[fTOTAL]);
// one jet
CalculateCrossSection(option, samples, fMM, 1, results_1j[fMM]);
CalculateCrossSection(option, samples, fME, 1, results_1j[fME]);
CalculateCrossSection(option, samples, fEM, 1, results_1j[fEM]);
CalculateCrossSection(option, samples, fEE, 1, results_1j[fEE]);
CalculateCrossSection(option, samples, fTOTAL, 1, results_1j[fTOTAL]);
// two jet
CalculateCrossSection(option, samples, fMM, 2, results_2j[fMM]);
CalculateCrossSection(option, samples, fME, 2, results_2j[fME]);
CalculateCrossSection(option, samples, fEM, 2, results_2j[fEM]);
CalculateCrossSection(option, samples, fEE, 2, results_2j[fEE]);
CalculateCrossSection(option, samples, fTOTAL, 2, results_2j[fTOTAL]);
//
// print cross section table
//
fprintf(fout_pas, "\\section{Cross Section Summary (All Channels)}\n\n");
fprintf(fout_pas, "The measured cross section in the zero jet bin is:\n");
fprintf(fout_pas, "\\begin{equation}\n");
fprintf(fout_pas, "\\sigma_{WW} = %4.2f \\pm %4.2f~\\mathrm{(stat.)} \\pm %4.2f~\\mathrm{(syst.)} \\pm %4.2f~\\mathrm{(lumi.)~pb}\n",
results_0j[fTOTAL].xs_, results_0j[fTOTAL].stat_err_pb_, results_0j[fTOTAL].syst_err_pt_, results_0j[fTOTAL].lumi_err_pb_);
fprintf(fout_pas, "\\end{equation}\n");
fprintf(fout_pas, "\\begin{table}[!ht]\n");
fprintf(fout_pas, "\\begin{center}\n");
fprintf(fout_pas, "\\begin{tabular}{|l|c|c|c|}\n");
fprintf(fout_pas, "\\hline\n");
fprintf(fout_pas, "Channel & 0-jet & 1-jet & 2-jet \\\\ \\hline \n");
fprintf(fout_pas, "$\\sigma_{\\mu\\mu}$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ \\\\ \n",
results_0j[fMM].xs_, results_0j[fMM].stat_err_pb_, results_0j[fMM].syst_err_pt_, results_0j[fMM].lumi_err_pb_,
results_1j[fMM].xs_, results_1j[fMM].stat_err_pb_, results_1j[fMM].syst_err_pt_, results_1j[fMM].lumi_err_pb_,
results_2j[fMM].xs_, results_2j[fMM].stat_err_pb_, results_2j[fMM].syst_err_pt_, results_2j[fMM].lumi_err_pb_);
fprintf(fout_pas, "$\\sigma_{\\mu e}$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ \\\\ \n",
results_0j[fME].xs_, results_0j[fME].stat_err_pb_, results_0j[fME].syst_err_pt_, results_0j[fME].lumi_err_pb_,
results_1j[fME].xs_, results_1j[fME].stat_err_pb_, results_1j[fME].syst_err_pt_, results_1j[fME].lumi_err_pb_,
results_2j[fME].xs_, results_2j[fME].stat_err_pb_, results_2j[fME].syst_err_pt_, results_2j[fME].lumi_err_pb_);
fprintf(fout_pas, "$\\sigma_{e \\mu}$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ \\\\ \n",
results_0j[fEM].xs_, results_0j[fEM].stat_err_pb_, results_0j[fEM].syst_err_pt_, results_0j[fEM].lumi_err_pb_,
results_1j[fEM].xs_, results_1j[fEM].stat_err_pb_, results_1j[fEM].syst_err_pt_, results_1j[fEM].lumi_err_pb_,
results_2j[fEM].xs_, results_2j[fEM].stat_err_pb_, results_2j[fEM].syst_err_pt_, results_2j[fEM].lumi_err_pb_);
fprintf(fout_pas, "$\\sigma_{ee}$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ \\\\ \n",
results_0j[fEE].xs_, results_0j[fEE].stat_err_pb_, results_0j[fEE].syst_err_pt_, results_0j[fEE].lumi_err_pb_,
results_1j[fEE].xs_, results_1j[fEE].stat_err_pb_, results_1j[fEE].syst_err_pt_, results_1j[fEE].lumi_err_pb_,
results_2j[fEE].xs_, results_2j[fEE].stat_err_pb_, results_2j[fEE].syst_err_pt_, results_2j[fEE].lumi_err_pb_);
fprintf(fout_pas, "\\hline \\hline\n");
fprintf(fout_pas, "$\\sigma_{tot.}$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ & $%4.2f\\pm%4.2f\\pm%4.2f\\pm%4.2f$ \\\\ \n",
results_0j[fTOTAL].xs_, results_0j[fTOTAL].stat_err_pb_, results_0j[fTOTAL].syst_err_pt_, results_0j[fTOTAL].lumi_err_pb_,
results_1j[fTOTAL].xs_, results_1j[fTOTAL].stat_err_pb_, results_1j[fTOTAL].syst_err_pt_, results_1j[fTOTAL].lumi_err_pb_,
results_2j[fTOTAL].xs_, results_2j[fTOTAL].stat_err_pb_, results_2j[fTOTAL].syst_err_pt_, results_2j[fTOTAL].lumi_err_pb_);
fprintf(fout_pas, "\\hline\n");
fprintf(fout_pas, "\\end{tabular}\n");
fprintf(fout_pas, "\\caption{Summary of cross section results. Uncertainties are $\\mathrm{(stat.)} \\pm \\mathrm{(syst.)} \\pm\\mathrm{(lumi.)~pb}$.}\n");
fprintf(fout_pas, "\\label{tab:xs_summary}\n");
fprintf(fout_pas, "\\end{center}\n");
fprintf(fout_pas, "\\end{table}\n");
//
// make a summary plot
//
gROOT->ProcessLine(".L tdrStyle.C");
gROOT->ProcessLine("setTDRStyle()");
// theory
TH1F *h1_theory_systdown = new TH1F ("h1_theory_systdown", "theory_systdown", 15, 0, 15);
TH1F *h1_theory_systup = new TH1F ("h1_theory_systup", "theory_systup;;Cross Section (pb)", 15, 0, 15);
h1_theory_systup->SetFillColor(kBlack);
h1_theory_systup->SetLineColor(kWhite);
h1_theory_systup->SetFillStyle(3005);
h1_theory_systdown->SetFillColor(10);
h1_theory_systdown->SetFillStyle(1001);
h1_theory_systdown->SetLineColor(kWhite);
for (unsigned int i = 1; i <= 16; ++i) {
h1_theory_systdown->SetBinContent(i, (47.0 - 2.0)*1.2151);
h1_theory_systup->SetBinContent(i, (47.0 + 2.0)*1.2151);
}
h1_theory_systup->GetXaxis()->SetBinLabel(1, "#mu#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(2, "#mue");
h1_theory_systup->GetXaxis()->SetBinLabel(3, "e#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(4, "ee");
h1_theory_systup->GetXaxis()->SetBinLabel(5, "tot.");
h1_theory_systup->GetXaxis()->SetBinLabel(6, "#mu#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(7, "#mue");
h1_theory_systup->GetXaxis()->SetBinLabel(8, "e#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(9, "ee");
h1_theory_systup->GetXaxis()->SetBinLabel(10, "tot.");
h1_theory_systup->GetXaxis()->SetBinLabel(11, "#mu#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(12, "#mue");
h1_theory_systup->GetXaxis()->SetBinLabel(13, "e#mu");
h1_theory_systup->GetXaxis()->SetBinLabel(14, "ee");
h1_theory_systup->GetXaxis()->SetBinLabel(15, "tot.");
// 0-jet
TH1F *h1_0j = new TH1F ("h1_0j", "0-jet", 15, 0, 15);
h1_0j->SetMarkerStyle(20);
h1_0j->SetMarkerSize(2);
h1_0j->SetLineWidth(2);
h1_0j->SetBinContent(1, results_0j[fMM].xs_);
h1_0j->SetBinContent(2, results_0j[fME].xs_);
h1_0j->SetBinContent(3, results_0j[fEM].xs_);
h1_0j->SetBinContent(4, results_0j[fEE].xs_);
h1_0j->SetBinError(1, results_0j[fMM].total_err_pb_);
h1_0j->SetBinError(2, results_0j[fME].total_err_pb_);
h1_0j->SetBinError(3, results_0j[fEM].total_err_pb_);
h1_0j->SetBinError(4, results_0j[fEE].total_err_pb_);
TH1F *h1_0j_incl = new TH1F ("h1_0j_incl", "0-jet incl", 15, 0, 15);
h1_0j_incl->SetMarkerStyle(20);
h1_0j_incl->SetMarkerSize(2);
h1_0j_incl->SetLineWidth(2);
h1_0j_incl->SetLineColor(kRed);
h1_0j_incl->SetMarkerColor(kRed);
h1_0j_incl->SetBinContent(5, results_0j[fTOTAL].xs_);
h1_0j_incl->SetBinError(5, results_0j[fTOTAL].total_err_pb_);
// 1-jet
TH1F *h1_1j = new TH1F ("h1_1j", "1-jet", 15, 0, 15);
h1_1j->SetMarkerStyle(21);
h1_1j->SetMarkerSize(2);
h1_1j->SetLineWidth(2);
h1_1j->SetBinContent(6, results_1j[fMM].xs_);
h1_1j->SetBinContent(7, results_1j[fME].xs_);
h1_1j->SetBinContent(8, results_1j[fEM].xs_);
h1_1j->SetBinContent(9, results_1j[fEE].xs_);
h1_1j->SetBinError(6, results_1j[fMM].total_err_pb_);
h1_1j->SetBinError(7, results_1j[fME].total_err_pb_);
h1_1j->SetBinError(8, results_1j[fEM].total_err_pb_);
h1_1j->SetBinError(9, results_1j[fEE].total_err_pb_);
TH1F *h1_1j_incl = new TH1F ("h1_1j_incl", "1-jet incl", 15, 0, 15);
h1_1j_incl->SetMarkerStyle(21);
h1_1j_incl->SetMarkerSize(2);
h1_1j_incl->SetLineWidth(2);
h1_1j_incl->SetLineColor(kRed);
h1_1j_incl->SetMarkerColor(kRed);
h1_1j_incl->SetBinContent(10, results_1j[fTOTAL].xs_);
h1_1j_incl->SetBinError(10, results_1j[fTOTAL].total_err_pb_);
// 2-jet
TH1F *h1_2j = new TH1F ("h1_2j", "2-jet", 15, 0, 15);
h1_2j->SetMarkerStyle(22);
h1_2j->SetMarkerSize(2);
h1_2j->SetLineWidth(2);
h1_2j->SetBinContent(11, results_2j[fMM].xs_);
h1_2j->SetBinContent(12, results_2j[fME].xs_);
h1_2j->SetBinContent(13, results_2j[fEM].xs_);
h1_2j->SetBinContent(14, results_2j[fEE].xs_);
h1_2j->SetBinError(11, results_2j[fMM].total_err_pb_);
h1_2j->SetBinError(12, results_2j[fME].total_err_pb_);
h1_2j->SetBinError(13, results_2j[fEM].total_err_pb_);
h1_2j->SetBinError(14, results_2j[fEE].total_err_pb_);
TH1F *h1_2j_incl = new TH1F ("h1_2j_incl", "2-jet incl", 15, 0, 15);
h1_2j_incl->SetMarkerStyle(22);
h1_2j_incl->SetMarkerSize(2);
h1_2j_incl->SetLineWidth(2);
h1_2j_incl->SetLineColor(kRed);
h1_2j_incl->SetMarkerColor(kRed);
h1_2j_incl->SetBinContent(15, results_2j[fTOTAL].xs_);
h1_2j_incl->SetBinError(15, results_2j[fTOTAL].total_err_pb_);
TLegend *l1 = new TLegend(0.45, 0.85, 0.98, 0.99);
l1->SetShadowColor(kWhite);
l1->SetLineColor(kWhite);
l1->SetFillColor(10);
l1->AddEntry(h1_theory_systup, "Theory", "f");
l1->AddEntry(h1_0j, "0-jet channels +/- (stat.#oplus syst.#oplus lumi.)", "lp");
l1->AddEntry(h1_1j, "1-jet channels +/- (stat.#oplus syst.#oplus lumi.)", "lp");
l1->AddEntry(h1_2j, "2-jet channels +/- (stat.#oplus syst.#oplus lumi.)", "lp");
TLatex *tex = new TLatex(0.05,0.89, Form("#sqrt{s}=8 TeV, #int Ldt = %u pb^{-1}", int(GetLuminosity())));
tex->SetNDC();
tex->SetTextSize(0.035);
tex->SetLineWidth(2);
TLatex *tex2 = new TLatex(0.05,0.95,"CMS Preliminary 2012");
tex2->SetNDC();
tex2->SetTextSize(0.035);
tex2->SetLineWidth(2);
TLine *line1 = new TLine(5.0, 0.0, 5.0, 120.0);
line1->SetLineStyle(kDashed);
TLine *line2 = new TLine(10.0, 0.0, 10.0, 120.0);
line2->SetLineStyle(kDashed);
TCanvas *c1 = new TCanvas("CrossSectionResults");
c1->cd();
c1->SetTopMargin(0.20);
h1_theory_systup->Draw();
h1_theory_systup->GetYaxis()->SetRangeUser(0.0, 120.0);
h1_theory_systdown->Draw("SAME");
h1_0j->Draw("SAME E1");
h1_0j_incl->Draw("SAME E1");
h1_1j->Draw("SAME E1");
h1_1j_incl->Draw("SAME E1");
h1_2j->Draw("SAME E1");
h1_2j_incl->Draw("SAME E1");
l1->Draw();
tex->Draw("SAME");
tex2->Draw("SAME");
line1->Draw();
line2->Draw();
c1->RedrawAxis();
c1->SaveAs(Form("../wwresults/%s_summary.pdf", filename.c_str()));
c1->SaveAs(Form("../wwresults/%s_summary.png", filename.c_str()));
delete h1_0j;
delete h1_0j_incl;
delete h1_1j;
delete h1_1j_incl;
delete h1_2j;
delete h1_2j_incl;
delete h1_theory_systdown;
delete h1_theory_systup;
delete tex;
delete tex2;
delete l1;
delete line1;
delete line2;
delete c1;
fprintf(fout_pas, "\\vspace{30pt}\n");
fprintf(fout_pas, "\\begin{figure}[!hbtp]\n");
fprintf(fout_pas, "\\centering\n");
fprintf(fout_pas, "\\includegraphics[width=.8\\textwidth]{%s_summary.pdf}\n", filename.c_str());
fprintf(fout_pas, "\\caption{Summary of all channels. Total uncertainty is shown.}\n");
fprintf(fout_pas, "\\label{fig:xs_summary_figure}\n");
fprintf(fout_pas, "\\end{figure}\n");
//
// print document footer
//
fprintf(fout_pas, "\\end{document}\n");
// close log file
fclose(fout_debug);
fclose(fout_pas);
}
void CalculateCrossSection(Option option, std::vector<SmurfSample*> samples, FlavorType flavorType, unsigned int jetbin,
CrossSectionResults &results)
{
//
// containers
//
double yield[kLeptonTypes][kNDataTypes];
double stat2[kLeptonTypes][kNDataTypes];
double syst2[kLeptonTypes][kNDataTypes];
double nwght[kLeptonTypes][kNDataTypes];
for (unsigned int i = 0; i < kNDataTypes; ++i) {
for (unsigned int j = 0; j < kLeptonTypes; ++j) {
yield[j][i] = 0.0;
stat2[j][i] = 0.0;
syst2[j][i] = 0.0;
nwght[j][i] = 0.0;
}
}
SetYieldsAndUncertainties(option, yield, nwght, stat2, syst2, jetbin, samples);
DoCrossSection(flavorType, yield[flavorType], nwght[flavorType], stat2[flavorType], syst2[flavorType], results);
}
void DoCrossSection(FlavorType flavorType, double yield[kNDataTypes], double nwght[kNDataTypes],
double stat2[kNDataTypes], double syst2[kNDataTypes], CrossSectionResults &results)
{
//
// calculate the acceptance
//
float brwwlnln = 0.108*0.108*9.0;
float sigma_qqWW = 47.0*(1-0.03)*1.2151;
float sigma_ggWW = 47.0*0.03*1.2151;
float lumi = GetLuminosity();
float eff_qqWW = yield[QQWW]/(sigma_qqWW*lumi*brwwlnln);
eff_qqWW *= GetJetVetoEffScaleFactor();
float eff_ggWW = yield[GGWW]/(sigma_ggWW*lumi*brwwlnln);
eff_ggWW *= GetJetVetoEffScaleFactor();
float err_qqWW = sqrt(eff_qqWW*(1-eff_qqWW)/ (nwght[QQWW]/eff_qqWW) );
float err_ggWW = sqrt(eff_ggWW*(1-eff_ggWW)/ (nwght[GGWW]/eff_ggWW) );
float eff_WW = (yield[QQWW] + yield[GGWW])/((sigma_qqWW+sigma_ggWW)*lumi*brwwlnln);
eff_WW *= GetJetVetoEffScaleFactor();
float err_WW = sqrt(pow(err_qqWW, 2) + pow(err_ggWW, 2));
//
// calculate the uncertainties
// and the cross section
//
float sigmaEff = 0.03 * sqrt(syst2[GGWW])/yield[GGWW]
+ 0.97 * sqrt(syst2[QQWW])/yield[QQWW];
float effE = eff_WW*sigmaEff;
float sigmaLumi = GetLumiSystematic();
float lumiE = lumi * sigmaLumi;
float xs = (yield[DATA] - yield[0]) / (lumi * eff_WW * brwwlnln);
float stat_err_pb = sqrt(stat2[DATA]) / (lumi * eff_WW * brwwlnln);
float systbg_err_pb = sqrt(stat2[0] + syst2[0]) / (lumi * eff_WW * brwwlnln);
float lumi_err_pb = xs * lumiE / lumi;
float systeff_err_pb = xs * effE / eff_WW;
float xs_err_pb = sqrt( pow(stat_err_pb, 2) + pow(systbg_err_pb, 2)
+ pow(lumi_err_pb, 2) + pow (systeff_err_pb, 2));
results.xs_ = xs;
results.stat_err_pb_ = stat_err_pb;
results.syst_err_pt_ = sqrt(systbg_err_pb*systbg_err_pb + systeff_err_pb*systeff_err_pb);
results.lumi_err_pb_ = lumi_err_pb;
results.eff_ww_ = eff_WW;
results.eff_ww_err_ = effE;
results.total_err_pb_ = xs_err_pb;
}
TCanvas *makeWWXSecStack(Option option, float analysis, SmurfSample* data, SmurfSample* qqww, SmurfSample *ggww, SmurfSample *wz, SmurfSample *zz,
SmurfSample* top, SmurfSample* wjetsEle, SmurfSample *wjetsMu, SmurfSample* wgamma, SmurfSample* dy, SmurfSample *zjets, std::vector<SmurfSample*> signals,
TFile *file, const unsigned int flav, const unsigned int njet, const char *name, const char *title, float lumi, bool log, unsigned int rebin, float wwSF)
{
const char *fullname = Form("%s_%s_%s", name, jetbin_names[njet], types[flav]);
TH1F *h1_signal = 0;
if (signals.size() != 0) {
h1_signal = GetHistogram(file, signals, fullname, rebin);
h1_signal->SetLineWidth(1);
h1_signal->SetLineColor(kRed);
}
TH1F *h1_data = GetHistogram(file, data, fullname, rebin);
h1_data->SetMarkerStyle(20);
h1_data->SetLineWidth(2);
TH1F *h1_qqww = GetHistogram(file, qqww, fullname, rebin);
TH1F *h1_ggww = GetHistogram(file, ggww, fullname, rebin);
// scale WW by a specified scale factor
h1_qqww->Scale(wwSF);
h1_ggww->Scale(wwSF);
TH1F *h1_ww = (TH1F*)h1_qqww->Clone();
h1_ww->Add(h1_ggww);
h1_ww->SetFillColor(kAzure-9);
h1_ww->SetLineColor(kAzure-9);
TH1F *h1_wz = GetHistogram(file, wz, fullname, rebin);
TH1F *h1_zz = GetHistogram(file, zz, fullname, rebin);
TH1F *h1_vv = (TH1F*)h1_wz->Clone();
h1_vv->Add(h1_zz);
h1_vv->SetFillColor(kAzure-2);
h1_vv->SetLineColor(kAzure-2);
TH1F *h1_top = GetHistogram(file, top, fullname, rebin);
h1_top->SetFillColor(kYellow);
h1_top->SetLineColor(kYellow);
TH1F *h1_wjetsEle = GetHistogram(file, wjetsEle, fullname, rebin);
TH1F *h1_wjetsMu = GetHistogram(file, wjetsMu, fullname, rebin);
TH1F *h1_wgamma = GetHistogram(file, wgamma, fullname, rebin);
TH1F *h1_fakes = (TH1F*)h1_wjetsEle->Clone();
h1_fakes->Add(h1_wjetsMu);
h1_fakes->Add(h1_wgamma);
h1_fakes->SetFillColor(kGray+1);
h1_fakes->SetLineColor(kGray+1);
// note - assuming the sf uncertainty for drell-yan in the inclusive plot
// - this is not really correct, but will make a negligible difference to
// how the uncertainty band on the plot looks. Really should construct
// the inclusive plot uncertainties from the sum in quadrature of the uncertainties
// on the exclusive channels. But that's a bit fiddly so neglecting it for now.
std::string flavor = "sf";
if (flav == fEM || flav == fME || flav == fOF) flavor = "of";
// DY is tricky because right now there can be zero events in the MC template
// in some bins, so the SF represents the data estimate directly...
TH1F *h1_dy = GetHistogram(file, dy, fullname, rebin);
if (analysis > 0.0 && analysis <= 300.0) {
double zSF[3] = {0.0, 0.0, 0.0};
double zSFErr[3] = {0.0, 0.0, 0.0};
getZScaleFactor(zSF, zSFErr, option, analysis, flavor.c_str());
double dy_yield = h1_dy->Integral(0, h1_dy->GetNbinsX() + 1);
if (dy_yield > 0.0) h1_dy->Scale(zSF[njet]/dy_yield);
}
TH1F *h1_zjets = GetHistogram(file, zjets, fullname, rebin);
h1_dy->Add(h1_zjets);
h1_dy->SetFillColor(kGreen+2);
h1_dy->SetLineColor(kGreen+2);
//
// figure out the uncertainties
//
TH1F *h1_band = (TH1F*)h1_data->Clone(Form("%s_up", fullname));
TH1F *h1_band_rel = (TH1F*)h1_data->Clone(Form("%s_up", fullname));
TH1F *h1_ratio = (TH1F*)h1_data->Clone(Form("%s_up", fullname));
for (unsigned int i = 1; i <= h1_data->GetNbinsX(); ++i)
{
float syst_qqww = GetBackgroundEstimationSystematic(option, QQWW, njet, flavor) * h1_qqww->GetBinContent(i);
float syst_ggww = GetBackgroundEstimationSystematic(option, GGWW, njet, flavor) * h1_ggww->GetBinContent(i);
float syst_wz = GetBackgroundEstimationSystematic(option, WZ, njet, flavor) * h1_wz->GetBinContent(i);
float syst_zz = GetBackgroundEstimationSystematic(option, ZZ, njet, flavor) * h1_zz->GetBinContent(i);
float syst_top = GetBackgroundEstimationSystematic(option, TOP, njet, flavor) * h1_top->GetBinContent(i);
float syst_wjetsEle = GetBackgroundEstimationSystematic(option, WJETSELEDATA, njet, flavor) * h1_wjetsEle->GetBinContent(i);
float syst_wjetsMu = GetBackgroundEstimationSystematic(option, WJETSMUDATA, njet, flavor) * h1_wjetsMu->GetBinContent(i);
float syst_wgamma = GetBackgroundEstimationSystematic(option, WGAMMANORM, njet, flavor) * h1_wgamma->GetBinContent(i);
// h1_dy is the sum of ZLL and ZJETS
// get the systematic on the two parts separately, because they are different
// (stat error for h1_dy is handled without extra complication)
float syst_dy = GetBackgroundEstimationSystematic(option, ZLL, njet, flavor) * (h1_dy->GetBinContent(i) - h1_zjets->GetBinContent(i));
float syst_zjets = GetBackgroundEstimationSystematic(option, ZJETS, njet, flavor) * h1_zjets->GetBinContent(i);
float stat_qqww = h1_qqww->GetBinError(i);
float stat_ggww = h1_ggww->GetBinError(i);
float stat_wz = h1_wz->GetBinError(i);
float stat_zz = h1_zz->GetBinError(i);
float stat_top = h1_top->GetBinError(i);
float stat_wjetsEle = h1_wjetsEle->GetBinError(i);
float stat_wjetsMu = h1_wjetsMu->GetBinError(i);
float stat_wgamma = h1_wgamma->GetBinError(i);
float stat_dy = h1_dy->GetBinError(i);
float yield_total = h1_wz->GetBinContent(i);
yield_total += h1_zz->GetBinContent(i);
yield_total += h1_top->GetBinContent(i);
yield_total += h1_wjetsEle->GetBinContent(i);
yield_total += h1_wjetsMu->GetBinContent(i);
yield_total += h1_wgamma->GetBinContent(i);
yield_total += h1_dy->GetBinContent(i);
yield_total += h1_qqww->GetBinContent(i);
yield_total += h1_ggww->GetBinContent(i);
float syst_total2 = pow(syst_qqww, 2) + pow(syst_ggww, 2) + pow(syst_wz, 2)
+ pow(syst_zz, 2) + pow(syst_top, 2) + pow(syst_wjetsEle, 2) + pow(syst_wjetsMu, 2) + pow(syst_wgamma, 2) + pow(syst_dy, 2) + pow(syst_zjets, 2);
float stat_total2 = pow(stat_qqww, 2) + pow(stat_ggww, 2) + pow(stat_wz, 2)
+ pow(stat_zz, 2) + pow(stat_top, 2) + pow(stat_wjetsEle, 2) + pow(syst_wjetsMu, 2) + pow(stat_wgamma, 2) + pow(stat_dy, 2);
float err_total = sqrt(syst_total2 + stat_total2);
h1_band->SetBinContent(i, yield_total);
h1_band->SetBinError(i, err_total);
h1_band_rel->SetBinContent(i, 1.0);
if (yield_total > 0.0) {
h1_band_rel->SetBinError(i, err_total/yield_total);
h1_ratio->SetBinContent(i, h1_data->GetBinContent(i) / yield_total);
h1_ratio->SetBinError(i, h1_data->GetBinError(i) / yield_total);
} else {
h1_band_rel->SetBinError(i, 0.0);
h1_ratio->SetBinContent(i, 0.0);
h1_ratio->SetBinError(i, 0.0);
}
}
//
// make the legend
//
TLegend *l1 = new TLegend(0.57, 0.65, 0.85, 0.92);
l1->SetLineColor(kWhite);
l1->SetShadowColor(kWhite);
l1->SetFillColor(kWhite);
if (signals.size() != 0)
l1->AddEntry(h1_signal, Form("mH = %u GeV", int(analysis)), "l");
l1->AddEntry(h1_data, "Data", "lp");
l1->AddEntry(h1_ww, "WW", "f");
l1->AddEntry(h1_vv, "WZ/ZZ", "f");
l1->AddEntry(h1_top, "Top", "f");
l1->AddEntry(h1_fakes, "Fakes", "f");
l1->AddEntry(h1_dy, "Drell-Yan", "f");
l1->AddEntry(h1_band, "#sigma (stat. #oplus syst.)", "f");
//
// make the stack
//
THStack *st = new THStack(Form("st_%s", fullname), Form("Stack;%s;Events/bin", title));
st->SetName(fullname);
st->Add(h1_ww);
st->Add(h1_dy);
st->Add(h1_top);
st->Add(h1_vv);
st->Add(h1_fakes);
//
// make the canvas
//
TCanvas *c1 = new TCanvas(fullname);
c1->cd();
bool drawRatio = true;
// Pad for plot
TPad *pad1 = 0;
if (drawRatio) {
pad1 = new TPad("p_main", "p_main", 0.0, 0.3, 1.0, 1.0);
pad1->SetBottomMargin(0.04);
pad1->SetRightMargin(0.07);
pad1->Draw();
pad1->cd();
}
st->Draw("HIST");
st->GetXaxis()->SetTitle(title);
if (signals.size() != 0)
h1_signal->Draw("SAME HIST");
h1_data->Draw("SAME E X0");
h1_band->SetMarkerSize(0);
h1_band->SetFillColor(kBlack);
h1_band->SetLineColor(kBlack);
h1_band->SetFillStyle(3005);
h1_band->Draw("e2 same");
l1->Draw();
float textSize = 0.03;
TLatex *tex = new TLatex(0.2,0.83,Form("#sqrt{s}=8 TeV, #int Ldt = %4.0f pb^{-1}", lumi));
tex->SetNDC();
tex->SetTextSize(textSize);
tex->SetLineWidth(2);
TLatex *tex2 = new TLatex(0.2,0.89,"CMS Preliminary 2012");
tex2->SetNDC();
tex2->SetTextSize(textSize);
tex2->SetLineWidth(2);
TLatex *tex3 = new TLatex(0.2,0.80, Form("%s (%s)", types[flav], jetbin_names[njet]));
tex3->SetNDC();
tex3->SetTextSize(textSize);
tex3->SetLineWidth(2);
tex->Draw("SAME");
tex2->Draw("SAME");
//tex3->Draw("SAME");
if (drawRatio) st->GetXaxis()->SetLabelOffset(0.6);
st->SetMaximum(TMath::Max(h1_band->GetMaximum()*2.0, h1_data->GetMaximum() + 3*sqrt(h1_data->GetMaximum())));
if (log) {
if (drawRatio) pad1->SetLogy(1);
st->SetMinimum(0.1);
st->SetMaximum(h1_data->GetMaximum() * 500);
}
// Pad for ratio
if (drawRatio) {
c1->cd();
TPad *pad2 = new TPad("p_pull", "p_pull", 0.0, 0.0, 1.0, 0.3);
pad2->Draw();
pad2->cd();
pad2->SetTopMargin(0.04);
pad2->SetRightMargin(0.07);
pad2->SetBottomMargin(0.4);
h1_band_rel->Draw("E2");
h1_ratio->Draw("E SAME X0");
h1_band_rel->GetYaxis()->SetRangeUser(0.0, 2.0);
h1_band_rel->SetMarkerSize(0);
h1_band_rel->SetFillColor(kBlack);
h1_band_rel->SetLineColor(kBlack);
h1_band_rel->SetFillStyle(3005);
h1_band_rel->GetXaxis()->SetTitle(title);
h1_band_rel->GetXaxis()->SetLabelSize(0.12);
h1_band_rel->GetXaxis()->SetTitleOffset(1.1);
h1_band_rel->GetXaxis()->SetTitleSize(0.13);
h1_band_rel->GetYaxis()->SetTitle("Data/MC");
h1_band_rel->GetYaxis()->SetLabelSize(0.13);
h1_band_rel->GetYaxis()->SetTitleSize(0.13);
h1_band_rel->GetYaxis()->SetTitleOffset(0.6);
h1_band_rel->GetYaxis()->SetNdivisions(402);
float min = h1_band_rel->GetXaxis()->GetXmin();
float max = h1_band_rel->GetXaxis()->GetXmax();
TLine *line = new TLine(min, 1.0, max, 1.0);
line->Draw();
}
c1->RedrawAxis();
return c1;
}
void PrintWWYieldTableVersion1(Option option, unsigned int jetbin,
std::vector<SmurfSample*> samples, FILE *fout)
{
//
// containers
//
double yield[kLeptonTypes][kNDataTypes];
double stat2[kLeptonTypes][kNDataTypes];
double syst2[kLeptonTypes][kNDataTypes];
double nwght[kLeptonTypes][kNDataTypes];
for (unsigned int i = 0; i < kNDataTypes; ++i) {
for (unsigned int j = 0; j < kLeptonTypes; ++j) {
yield[j][i] = 0.0;
stat2[j][i] = 0.0;
syst2[j][i] = 0.0;
nwght[j][i] = 0.0;
}
}
SetYieldsAndUncertainties(option, yield, nwght, stat2, syst2, jetbin, samples);
bool includeSyst = false;
if (!includeSyst) {
for (unsigned int i = 0; i < kNDataTypes; ++i) {
for (unsigned int j = 0; j < kLeptonTypes; ++j) {
syst2[j][i] = 0.0;
}
}
}
fprintf(fout,"\\hline\n");
fprintf(fout," & data & all bkg. & $qq \\to \\WW$ & $gg \\to \\WW$ & $\\ttbar/tW$ & $\\Wjets$ \\\\ \n");
fprintf(fout,"\\hline\n");
fprintf(fout,"\\hline\n");
fprintf(fout," %u-jet & ", jetbin);
fprintf(fout,"%4.0f & ", yield[fTOTAL][DATA]);
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][0] + yield[fTOTAL][QQWW] + yield[fTOTAL][GGWW],
sqrt(stat2[fTOTAL][0] + syst2[fTOTAL][0] + stat2[fTOTAL][QQWW] + syst2[fTOTAL][QQWW] + stat2[fTOTAL][GGWW] + syst2[fTOTAL][GGWW]));
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][QQWW], sqrt(stat2[fTOTAL][QQWW] + syst2[fTOTAL][QQWW]));
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][GGWW], sqrt(stat2[fTOTAL][GGWW] + syst2[fTOTAL][GGWW]));
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][TOP], sqrt(stat2[fTOTAL][TOP] + syst2[fTOTAL][TOP]));
fprintf(fout,"%4.1f $\\pm$ %4.1f \\\\ \n ", yield[fTOTAL][WJETSELEDATA]+yield[fTOTAL][WJETSMUDATA],
sqrt(stat2[fTOTAL][WJETSMUDATA] + syst2[fTOTAL][WJETSMUDATA] + stat2[fTOTAL][WJETSELEDATA] + syst2[fTOTAL][WJETSELEDATA]));
fprintf(fout,"\\hline\n");
fprintf(fout," & $WZ/ZZ$ & \\dyll & $W+\\gamma/\\gamma^*$ & \\\\ \n");
fprintf(fout,"\\hline\n");
fprintf(fout,"\\hline\n");
fprintf(fout," %u-jet & ", jetbin);
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][WZ] + yield[fTOTAL][ZZ], sqrt(stat2[fTOTAL][WZ] + syst2[fTOTAL][WZ] + stat2[fTOTAL][ZZ] + syst2[fTOTAL][ZZ]));
fprintf(fout,"%4.1f $\\pm$ %4.1f & ", yield[fTOTAL][ZLL] + yield[fTOTAL][ZJETS], sqrt(stat2[fTOTAL][ZLL] + syst2[fTOTAL][ZLL] + stat2[fTOTAL][ZJETS] + syst2[fTOTAL][ZJETS]));
fprintf(fout,"%4.1f $\\pm$ %4.1f \\\\ \n ", yield[fTOTAL][WGAMMANORM]+yield[fTOTAL][WGAMMASTAR], sqrt(stat2[fTOTAL][WGAMMANORM] + stat2[fTOTAL][WGAMMASTAR] + syst2[fTOTAL][WGAMMASTAR] + syst2[fTOTAL][WGAMMANORM]));
}
void PrintWWYieldTableVersion2(Option option, unsigned int jetbin,
std::vector<SmurfSample*> samples, FILE *fout)
{
//
// containers
//
double yield[kLeptonTypes][kNDataTypes];
double stat2[kLeptonTypes][kNDataTypes];
double syst2[kLeptonTypes][kNDataTypes];
double nwght[kLeptonTypes][kNDataTypes];
for (unsigned int i = 0; i < kNDataTypes; ++i) {
for (unsigned int j = 0; j < kLeptonTypes; ++j) {
yield[j][i] = 0.0;
stat2[j][i] = 0.0;
syst2[j][i] = 0.0;
nwght[j][i] = 0.0;
}
}
SetYieldsAndUncertainties(option, yield, nwght, stat2, syst2, jetbin, samples);
bool includeSyst = false;
if (!includeSyst) {