void trackingStudyAroundJet(char *infname = "skim_jet_ptha120.root")
{
HiForest *c = new HiForest(infname);
c->tree->AddFriend("nt");
TCut trackSelection = "(mtrkQual||mtrkAlgo<4)&&pNRec>0";
TCut dijetSelection = "leadingJetPt>120&&subleadingJetPt>50&&acos(cos(leadingJetPhi-subleadingJetPhi))>7./8.*3.141593";
TCut genParticleCut = "abs(pEta)<2.4";
TCanvas *cleadingJetPt = new TCanvas ("cleadingJetPt","",600,600);
TH1F *hEffleadingJetPt = new TH1F("hEffleadingJetPt","",10,0,0.3);
makeHistTitle(hEffleadingJetPt,"","Leading Jet p_{T} (GeV/c)","Tracking Efficiency");
TGraphAsymmErrors *g = getEfficiency(c->tree,"acos(cos(pPhi-leadingJetPhi))",10,0,0.3,trackSelection,TCut("pPt>20")&&dijetSelection&&genParticleCut);
TGraphAsymmErrors *g2 = getEfficiency(c->tree,"acos(cos(pPhi-leadingJetPhi))",10,0,0.3,trackSelection,TCut("pPt>8")&&dijetSelection&&genParticleCut);
TGraphAsymmErrors *g3 = getEfficiency(c->tree,"acos(cos(pPhi-leadingJetPhi))",10,0,0.3,trackSelection,TCut("pPt>0")&&dijetSelection&&genParticleCut);
hEffleadingJetPt->SetAxisRange(0.6,0.9,"Y");
hEffleadingJetPt->Draw();
g->Draw("p same");
g2->SetLineColor(2);
g2->SetMarkerColor(2);
g2->Draw("p same");
g3->SetLineColor(4);
g3->SetMarkerColor(4);
g3->Draw("p same");
TLegend *legleadingJetPt = myLegend(0.5,0.7,0.9,0.9);
legleadingJetPt->AddEntry(g,"#hat{p}_{T} 170 GeV/c, Dijet selection","");
legleadingJetPt->AddEntry(g,"simTrack p_{T} > 20 GeV/c","pl");
legleadingJetPt->AddEntry(g2,"simTrack p_{T} > 8 GeV/c","pl");
legleadingJetPt->AddEntry(g3,"simTrack p_{T} > 0 GeV/c","pl");
legleadingJetPt->Draw();
cleadingJetPt->SaveAs("effFig/EffVsleadingJetDphi-DijetSelection.gif");
cleadingJetPt->SaveAs("effFig/EffVsleadingJetDphi-DijetSelection.C");
}
//Power models
double PlantBChiller::computePower(CoolingParams *params)
{
params->freeCooling=false;
double heat = params->waterFlow*GPM_CONVERSION*RHO_WATER*CP_WATER*1000
*(params->waterTemp-m_params.coldWaterTemp);
double tons = heat*KW_TON_CONVERSION;
double eff = getEfficiency(m_params.coldWaterTemp);
if (eff < 0){
LOG_ERROR << "Invalid value for chiller efficiency";
}
m_electricPower = tons*1000*eff;
VLOG_2 << " -- Chiller: heat= " << heat << " eff= " << eff;
VLOG_2 << "Chiller electrical power consumption is " << m_electricPower;
m_chillerPower = m_electricPower;
return m_electricPower;
}
void makePlot_wrapper(const TString& title,
const TH1* histogram_numerator_Data_passed, const TH1* histogram_denominator_Data_passed,
const TH1* histogram_numerator_mcSum_passed, const TH1* histogram_denominator_mcSum_passed,
const TH1* histogram_numerator_Data_failed, const TH1* histogram_denominator_Data_failed,
const TH1* histogram_numerator_mcSum_failed, const TH1* histogram_denominator_mcSum_failed,
const TString& legendEntry_Data, const TString& legendEntry_mcSum,
const TString& region_passed, const TString& region_failed,
const TString& outputFileName)
{
TAxis* xAxis = histogram_numerator_Data_passed->GetXaxis();
Double_t xMin = xAxis->GetXmin();
Double_t xMax = xAxis->GetXmax();
std::cout << "processing Data, region " << region_passed.Data() << "..." << std::endl;
TGraphAsymmErrors* graph_efficiency_Data_passed =
getEfficiency(histogram_numerator_Data_passed, histogram_denominator_Data_passed);
TF1* fit_efficiency_Data_passed = new TF1("fit_efficiency_Data_passed", &integralCrystalBall_f, xMin, xMax, 5);
initializeCrystalBall(fit_efficiency_Data_passed);
graph_efficiency_Data_passed->Fit(fit_efficiency_Data_passed, "0");
TString legendEntry_Data_passed = Form("%s, %s", legendEntry_Data.Data(), region_passed.Data());
std::cout << "processing mcSum, region " << region_passed.Data() << "..." << std::endl;
TGraphAsymmErrors* graph_efficiency_mcSum_passed =
getEfficiency(histogram_numerator_mcSum_passed, histogram_denominator_mcSum_passed);
TF1* fit_efficiency_mcSum_passed = new TF1("fit_efficiency_mcSum_passed", &integralCrystalBall_f, xMin, xMax, 5);
initializeCrystalBall(fit_efficiency_mcSum_passed);
graph_efficiency_mcSum_passed->Fit(fit_efficiency_mcSum_passed, "0");
TString legendEntry_mcSum_passed = Form("%s, %s", legendEntry_mcSum.Data(), region_passed.Data());
std::cout << "processing Data, region " << region_failed.Data() << "..." << std::endl;
TGraphAsymmErrors* graph_efficiency_Data_failed =
getEfficiency(histogram_numerator_Data_failed, histogram_denominator_Data_failed);
TF1* fit_efficiency_Data_failed = new TF1("fit_efficiency_Data_failed", &integralCrystalBall_f, xMin, xMax, 5);
initializeCrystalBall(fit_efficiency_Data_failed);
graph_efficiency_Data_failed->Fit(fit_efficiency_Data_failed, "0");
TString legendEntry_Data_failed = Form("%s, %s", legendEntry_Data.Data(), region_failed.Data());
std::cout << "processing mcSum, region " << region_failed.Data() << "..." << std::endl;
TGraphAsymmErrors* graph_efficiency_mcSum_failed =
getEfficiency(histogram_numerator_mcSum_failed, histogram_denominator_mcSum_failed);
TF1* fit_efficiency_mcSum_failed = new TF1("fit_efficiency_mcSum_failed", &integralCrystalBall_f, xMin, xMax, 5);
initializeCrystalBall(fit_efficiency_mcSum_failed);
graph_efficiency_mcSum_failed->Fit(fit_efficiency_mcSum_failed, "0");
TString legendEntry_mcSum_failed = Form("%s, %s", legendEntry_mcSum.Data(), region_failed.Data());
makePlot(title,
graph_efficiency_Data_passed, fit_efficiency_Data_passed, legendEntry_Data_passed,
graph_efficiency_mcSum_passed, fit_efficiency_mcSum_passed, legendEntry_mcSum_passed,
graph_efficiency_Data_failed, fit_efficiency_Data_failed, legendEntry_Data_failed,
graph_efficiency_mcSum_failed, fit_efficiency_mcSum_failed, legendEntry_mcSum_failed,
outputFileName);
delete graph_efficiency_Data_passed;
delete fit_efficiency_Data_passed;
delete graph_efficiency_mcSum_passed;
delete fit_efficiency_mcSum_passed;
delete graph_efficiency_Data_failed;
delete fit_efficiency_Data_failed;
delete graph_efficiency_mcSum_failed;
delete fit_efficiency_mcSum_failed;
}
double BTagWeight::weight(const JetCollection jets, const int systematic) const {
float bTaggedMCJet = 1.0;
float nonBTaggedMCJet = 1.0;
float bTaggedDataJet = 1.0;
float nonBTaggedDataJet = 1.0;
for (unsigned int index = 0; index < jets.size(); ++index) {
// Info on this jet
const JetPointer jet(jets.at(index));
double jetPt = jet->pt();
if ( jetPt < 25 ) continue;
// If the pt of the jet is outside the pt range of the SFs,
// use the pt at the upper/lower edge and double the uncertainty.
bool ptOutOfRange = false;
if ( jetPt <= 30 || jet->pt() >= 670 ) {
ptOutOfRange = true;
}
const unsigned int partonFlavour = abs( jet->partonFlavour() );
const bool isBTagged = jet->isBJet();
// Get scale factor for this jet
const double sf = jet->getBTagSF( 0 );
double sf_up = jet->getBTagSF( 1 );
double sf_down = jet->getBTagSF( -1 );
if ( ptOutOfRange ) {
sf_up = sf + 2 * ( sf_up - sf );
sf_down = sf - 2 * ( sf - sf_down );
if ( sf_up < 0 ) sf_up = 0;
if ( sf_down < 0 ) sf_down = 0;
}
// Get efficiency for this jet
const double eff = getEfficiency( partonFlavour, jet );
double sfToUse = sf;
if ( systematic == 1 ) {
sfToUse = sf_up;
}
else if ( systematic == -1 ) {
sfToUse = sf_down;
}
if ( isBTagged ) {
bTaggedMCJet *= eff;
if ( eff*sfToUse > 1 ) {
bTaggedDataJet *= 1;
}
else if ( eff*sfToUse < 0 ) {
bTaggedDataJet *= 0;
}
else {
bTaggedDataJet *= eff*sfToUse;
}
}
else {
nonBTaggedMCJet *= ( 1 - eff );
if ( eff*sfToUse > 1 ) {
nonBTaggedDataJet *= 0;
}
else if ( eff*sfToUse < 0 ) {
nonBTaggedDataJet *= 1;
}
else {
bTaggedDataJet *= ( 1 - eff*sfToUse );
}
}
// if ( nonBTaggedMCJet < 0 || nonBTaggedDataJet < 0 ) {
// cout << nonBTaggedMCJet << " " << nonBTaggedDataJet << endl;
// cout << eff << " " << sfToUse << endl;
// }
}
double bTagWeight = (nonBTaggedDataJet * bTaggedDataJet) / (nonBTaggedMCJet * bTaggedMCJet);
return bTagWeight;
}
openstudio::Quantity ZoneHVACBaseboardConvectiveElectric_Impl::efficiency_IP() const {
return getEfficiency(true);
}
void showEfficiency(const TString& title, double canvasSizeX, double canvasSizeY,
const TH1* histogram1_numerator, const TH1* histogram1_denominator, const std::string& legendEntry1,
const TH1* histogram2_numerator, const TH1* histogram2_denominator, const std::string& legendEntry2,
const TH1* histogram3_numerator, const TH1* histogram3_denominator, const std::string& legendEntry3,
const TH1* histogram4_numerator, const TH1* histogram4_denominator, const std::string& legendEntry4,
const TH1* histogram5_numerator, const TH1* histogram5_denominator, const std::string& legendEntry5,
const TH1* histogram6_numerator, const TH1* histogram6_denominator, const std::string& legendEntry6,
const std::string& xAxisTitle, double xAxisOffset,
bool useLogScale, double yMin, double yMax, const std::string& yAxisTitle, double yAxisOffset,
double legendX0, double legendY0,
const std::string& outputFileName)
{
TCanvas* canvas = new TCanvas("canvas", "canvas", canvasSizeX, canvasSizeY);
canvas->SetFillColor(10);
canvas->SetBorderSize(2);
canvas->SetLeftMargin(0.12);
canvas->SetBottomMargin(0.12);
canvas->SetLogy(useLogScale);
canvas->SetGridx();
canvas->SetGridy();
TH1* dummyHistogram = new TH1D("dummyHistogram_top", "dummyHistogram_top", 10, histogram1_numerator->GetXaxis()->GetXmin(), histogram1_numerator->GetXaxis()->GetXmax());
dummyHistogram->SetTitle("");
dummyHistogram->SetStats(false);
dummyHistogram->SetMaximum(yMax);
dummyHistogram->SetMinimum(yMin);
TAxis* xAxis = dummyHistogram->GetXaxis();
xAxis->SetTitle(xAxisTitle.data());
xAxis->SetTitleOffset(xAxisOffset);
TAxis* yAxis = dummyHistogram->GetYaxis();
yAxis->SetTitle(yAxisTitle.data());
yAxis->SetTitleOffset(yAxisOffset);
dummyHistogram->Draw();
int colors[6] = { 1, 2, 3, 4, 6, 7 };
int markerStyles[6] = { 22, 32, 20, 24, 21, 25 };
int numGraphs = 1;
if ( histogram2_numerator && histogram2_denominator ) ++numGraphs;
if ( histogram3_numerator && histogram3_denominator ) ++numGraphs;
if ( histogram4_numerator && histogram4_denominator ) ++numGraphs;
if ( histogram5_numerator && histogram5_denominator ) ++numGraphs;
if ( histogram6_numerator && histogram6_denominator ) ++numGraphs;
TLegend* legend = new TLegend(legendX0, legendY0, legendX0 + 0.18, legendY0 + 0.05*numGraphs, "", "brNDC");
legend->SetBorderSize(0);
legend->SetFillColor(0);
TGraphAsymmErrors* graph1 = getEfficiency(histogram1_numerator, histogram1_denominator);
graph1->SetLineColor(colors[0]);
graph1->SetMarkerColor(colors[0]);
graph1->SetMarkerStyle(markerStyles[0]);
graph1->Draw("p");
legend->AddEntry(graph1, legendEntry1.data(), "p");
TGraphAsymmErrors* graph2 = 0;
if ( histogram2_numerator && histogram2_denominator ) {
graph2 = getEfficiency(histogram2_numerator, histogram2_denominator);
graph2->SetLineColor(colors[1]);
graph2->SetMarkerColor(colors[1]);
graph2->SetMarkerStyle(markerStyles[1]);
graph2->Draw("p");
legend->AddEntry(graph2, legendEntry2.data(), "p");
}
TGraphAsymmErrors* graph3 = 0;
if ( histogram3_numerator && histogram3_denominator ) {
graph3 = getEfficiency(histogram3_numerator, histogram3_denominator);
graph3->SetLineColor(colors[2]);
graph3->SetMarkerColor(colors[2]);
graph3->SetMarkerStyle(markerStyles[2]);
graph3->Draw("p");
legend->AddEntry(graph3, legendEntry3.data(), "p");
}
TGraphAsymmErrors* graph4 = 0;
if ( histogram4_numerator && histogram4_denominator ) {
graph4 = getEfficiency(histogram4_numerator, histogram4_denominator);
graph4->SetLineColor(colors[3]);
graph4->SetMarkerColor(colors[3]);
graph4->SetMarkerStyle(markerStyles[3]);
graph4->Draw("p");
legend->AddEntry(graph4, legendEntry4.data(), "p");
}
TGraphAsymmErrors* graph5 = 0;
if ( histogram5_numerator && histogram5_denominator ) {
graph5 = getEfficiency(histogram5_numerator, histogram5_denominator);
graph5->SetLineColor(colors[4]);
graph5->SetMarkerColor(colors[4]);
graph5->SetMarkerStyle(markerStyles[4]);
graph5->Draw("p");
legend->AddEntry(graph5, legendEntry5.data(), "p");
}
TGraphAsymmErrors* graph6 = 0;
if ( histogram6_numerator && histogram6_denominator ) {
graph6 = getEfficiency(histogram6_numerator, histogram6_denominator);
graph6->SetLineColor(colors[5]);
graph6->SetMarkerColor(colors[5]);
graph6->SetMarkerStyle(markerStyles[5]);
graph6->Draw("p");
legend->AddEntry(graph6, legendEntry6.data(), "p");
}
legend->Draw();
TPaveText* label = 0;
if ( title.Length() > 0 ) {
label = new TPaveText(0.175, 0.925, 0.48, 0.98, "NDC");
label->AddText(title.Data());
label->SetTextAlign(13);
label->SetTextSize(0.045);
label->SetFillStyle(0);
label->SetBorderSize(0);
label->Draw();
}
canvas->Update();
size_t idx = outputFileName.find_last_of('.');
std::string outputFileName_plot = std::string(outputFileName, 0, idx);
if ( idx != std::string::npos ) canvas->Print(std::string(outputFileName_plot).append(std::string(outputFileName, idx)).data());
canvas->Print(std::string(outputFileName_plot).append(".png").data());
canvas->Print(std::string(outputFileName_plot).append(".pdf").data());
delete legend;
delete label;
delete dummyHistogram;
delete canvas;
}
void trackingStudyTrkEta(char *infname = "skim_jet_pthat80Sim05.root")
{
HiForest *c = new HiForest(infname);
c->tree->AddFriend("nt");
TCut trackSelection = "(mtrkQual||mtrkAlgo<4)&&pNRec>0";
TCut genParticleCut = "abs(pEta)<2.8&&pPt>0";
TCut weightCent = "1";//"(0.64661/(0.64661+0.00279303*hiBin+(-3.89902e-5)*hiBin*hiBin)*(hiBin<34)+(hiBin>=34)*0.64661/(-1.38822+0.123182*hiBin-0.0018135*hiBin*hiBin))";
TCut weight = "1";//"1./(0.757356-0.030163*pEta-0.0769554*pEta**2+0.0176546*pEta**3+0.0200791*pEta**4-0.00256533*pEta**5-0.00304287*pEta**6)";
TCanvas *cpPt = new TCanvas ("cpPt","",600,600);
TH1F *hEffpPt = new TH1F("hEffpPt","",28,-2.8,2.8);
makeHistTitle(hEffpPt,"","SimTrack #eta","Tracking Efficiency");
TGraphAsymmErrors *g = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>0.5")&&genParticleCut,weight*weightCent);
TGraphAsymmErrors *g1 = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>0.5&&pPt<1")&&genParticleCut,weight*weightCent);
TGraphAsymmErrors *g2 = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>1&&pPt<2")&&genParticleCut,weight*weightCent);
TGraphAsymmErrors *g3 = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>2&&pPt<4")&&genParticleCut,weight*weightCent);
TGraphAsymmErrors *g4 = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>4&&pPt<8")&&genParticleCut,weight*weightCent);
TGraphAsymmErrors *g5 = getEfficiency(c->tree,"pEta",28,-2.8,2.8,trackSelection,TCut("pPt>8")&&genParticleCut,weight*weightCent);
hEffpPt->SetAxisRange(0.,1,"Y");
hEffpPt->Draw();
g->Draw("p same");
g1->SetLineColor(2);
g1->SetMarkerColor(2);
g1->Draw("p same");
g2->SetLineColor(3);
g2->SetMarkerColor(3);
g2->Draw("p same");
g3->SetLineColor(4);
g3->SetMarkerColor(4);
g3->Draw("p same");
g4->SetLineColor(46);
g4->SetMarkerColor(46);
g4->Draw("p same");
g5->SetLineColor(kOrange);
g5->SetMarkerColor(kOrange);
g5->Draw("p same");
TLegend *legpPt = myLegend(0.2,0.7,0.6,0.9);
legpPt->AddEntry(g,"#hat{p}_{T} 80 GeV/c, No selection","");
legpPt->AddEntry(g,"Simtrack p_{T} > 0.5 GeV/c","pl");
legpPt->AddEntry(g1,"Simtrack 0.5 > p_{T} > 1 GeV/c","pl");
legpPt->AddEntry(g2,"Simtrack 1 > p_{T} > 2 GeV/c","pl");
legpPt->AddEntry(g3,"Simtrack 2 > p_{T} > 4 GeV/c","pl");
legpPt->AddEntry(g4,"Simtrack 4 > p_{T} > 8 GeV/c","pl");
legpPt->AddEntry(g5,"Simtrack p_{T} > 8 GeV/c","pl");
legpPt->Draw();
cpPt->SaveAs("effFig/EffVsTrackPt.gif");
cpPt->SaveAs("effFig/EffVsTrackPt.C");
g->Fit("pol6") ;
}
void plotTrigger_PbPb(char *infname="/data/jisun/PbPb2015/skim_Dntuple_crab_PbPb_HIMinimumBias2_ForestAOD_Track_AK4CaloJet_D0_tkpt0p9eta1p5_01142016_tkpt8p0fortrigstudy.root")
{
// ============== Open file and basic settings ===============
// Open Dntuple file
TFile *inf = new TFile(infname);
TTree *ntDkpi = (TTree*)inf->Get("ntDkpi");
TTree *ntHlt = (TTree*)inf->Get("ntHlt");
TTree *ntSkim = (TTree*)inf->Get("ntSkim");
ntDkpi->AddFriend(ntHlt);
ntDkpi->AddFriend(ntSkim);
// Define bin size and bin width for trigger turnon curve histograms
const int nBin = 15;
Float_t bins[nBin+1]={0,5,10,15,18,20,25,30,35,40,45,55,60,65,70,80};
// Templates for plotting
TH1D *hTmp = new TH1D ("hTmp","",nBin,bins);
TH1D *hTmp2 = new TH1D ("hTmp2","",nBin,bins);
// ============== Selection Criteria ===============
//TCut mbCut = "(HLT_HIL1MinimumBiasHF1AND_v1|| \
HLT_HIL1MinimumBiasHF2AND_v1|| \
HLT_HIL1MinimumBiasHF2AND_part1_v1)";
TCut mbCut = "(HLT_HIL1MinimumBiasHF1AND_v1)";
// L1 trigger thresholds
TCut l1CutMBHF1And = "L1_MinimumBiasHF1_AND==1";
TCut l1Cut28 = "L1_SingleS1Jet28_BptxAND==1";
TCut l1Cut44 = "L1_SingleJet44_BptxAND==1";
// D meson selection
TCut DmassCut = "(abs(Dmass-1.8696)<0.03)";
TCut DmesonCut = "(DsvpvDistance/DsvpvDisErr)>3.5&&Dchi2cl>0.05&&Dalpha<0.12";
//TCut DmesonDaughterTrkCut = "Dtrk1Pt>8.5&&abs(Dtrk1Eta)<2.0&&Dtrk1Algo<8&&(Dtrk1PixelHit+Dtrk1StripHit)>=10.5&&Dtrk1PtErr/Dtrk1Pt<0.1&& \
Dtrk2Pt>8.5&&abs(Dtrk2Eta)<2.0&&Dtrk2Algo<8&&(Dtrk2PixelHit+Dtrk2StripHit)>=10.5&&Dtrk2PtErr/Dtrk2Pt<0.1";
//TCut DmesonDaughterTrkCut = "Dtrk1Pt>8.5&&abs(Dtrk1Eta)<2.0&&(Dtrk1Algo<8||Dtrk1Algo==11)&&(Dtrk1PixelHit+Dtrk1StripHit)>=10.5&&Dtrk1PtErr/Dtrk1Pt<0.1&& \
Dtrk2Pt>8.5&&abs(Dtrk2Eta)<2.0&&(Dtrk2Algo<8||Dtrk2Algo==11)&&(Dtrk2PixelHit+Dtrk2StripHit)>=10.5&&Dtrk2PtErr/Dtrk2Pt<0.1";
TCut DmesonDaughterTrkCut = "Dtrk1Pt>8.5&&abs(Dtrk1Eta)<2.0&&(Dtrk1PixelHit+Dtrk1StripHit)>=10.5&&Dtrk1PtErr/Dtrk1Pt<0.1&& \
Dtrk2Pt>8.5&&abs(Dtrk2Eta)<2.0&&(Dtrk2PixelHit+Dtrk2StripHit)>=10.5&&Dtrk2PtErr/Dtrk2Pt<0.1";
// Final selection for D candidates for trigger turnon studies
TCut DAnaCut = DmassCut && DmesonCut && DmesonDaughterTrkCut;
// HLT trigger thresholds
TCut HLTCut20 = "HLT_HIDmesonHITrackingGlobal_Dpt20_v1";
TCut HLTCut40 = "HLT_HIDmesonHITrackingGlobal_Dpt40_v1";
TCut HLTCut60 = "HLT_HIDmesonHITrackingGlobal_Dpt60_v1";
// ============== L1 trigger efficiency study ===============
TCanvas *c = new TCanvas("c","",600,600);
TGraphAsymmErrors* g20 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1CutMBHF1And), HLTCut20, nBin, bins);
TGraphAsymmErrors* g40 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut28), HLTCut40, nBin, bins);
TGraphAsymmErrors* g60 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut44), HLTCut60, nBin, bins);
hTmp->Draw();
hTmp->SetXTitle("D Meson p_{T} (GeV/c)");
hTmp->SetYTitle("D Meson HLT Efficiency");
g20->SetLineColor(1);
g20->SetMarkerColor(1);
g20->Draw("pl same");
g40->SetLineColor(2);
g40->SetMarkerColor(2);
g40->Draw("pl same");
g60->SetLineColor(kGreen+2);
g60->SetMarkerColor(kGreen+2);
g60->Draw("pl same");
TLegend *leg = new TLegend(0.53,0.2,0.93,0.6);
leg->SetBorderSize(0);
leg->SetFillStyle(0);
leg->AddEntry(g20,"PbPb #sqrt{s} = 5.02 TeV","");
leg->AddEntry(g20,"HLT D meson 20","pl");
leg->AddEntry(g40,"HLT D meson 40","pl");
leg->AddEntry(g60,"HLT D meson 60","pl");
leg->Draw();
c->SaveAs("result/Dmeson-HIHLTriggerEfficiency.pdf");
c->SaveAs("result/Dmeson-HIHLTriggerEfficiency.png");
c->SaveAs("result/Dmeson-HIHLTriggerEfficiency.C");
// ============== L1 trigger efficiency study ===============
TCanvas *c2 = new TCanvas("c2","",600,600);
TGraphAsymmErrors* gLMBHF1And = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_MinimumBiasHF1_AND_Prescl==1"), l1CutMBHF1And, nBin, bins);
TGraphAsymmErrors* gL28 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleS1Jet28_BptxAND_Prescl==1"), l1Cut28, nBin, bins);
TGraphAsymmErrors* gL44 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleJet44_BptxAND_Prescl==1"), l1Cut44, nBin, bins);
hTmp2->Draw();
hTmp2->SetXTitle("D meson p_{T} (GeV/c)");
hTmp2->SetYTitle("L1 Trigger Efficiency");
gLMBHF1And->SetMarkerColor(1);
gLMBHF1And->SetLineColor(1);
gLMBHF1And->Draw("pl same");
gL28->SetMarkerColor(4);
gL28->SetLineColor(4);
gL28->Draw("pl same");
gL44->SetMarkerColor(kGreen+2);
gL44->SetLineColor(kGreen+2);
gL44->Draw("pl same");
TLegend *leg2 = new TLegend(0.53,0.2,0.93,0.6);
leg2->SetBorderSize(0);
leg2->SetFillStyle(0);
leg2->AddEntry(gLMBHF1And,"PbPb #sqrt{s} = 5.02 TeV","");
leg2->AddEntry(gLMBHF1And,"Level 1 Jet 16","pl");
leg2->AddEntry(gL28,"Level 1 Jet 28","pl");
leg2->AddEntry(gL44,"Level 1 Jet 44","pl");
leg2->Draw();
c2->SaveAs("result/Dmeson-HIL1TriggerEfficiency.pdf");
c2->SaveAs("result/Dmeson-HIL1TriggerEfficiency.png");
c2->SaveAs("result/Dmeson-HIL1TriggerEfficiency.C");
// ============== Plot an example D mass distribution ===============
TCanvas *c3 = new TCanvas("c3","",600,600);
ntDkpi->Draw("Dmass>>h(100,1.7696,1.9696)",DmesonCut&&DmesonDaughterTrkCut&&mbCut&&l1CutMBHF1And);
// ..done
}
//void plotTriggerForTDR(char *infname="/data/yjlee/dmeson/2015/trigger/mb.root")
void plotTrigger(string infname="/data/jisun/ppMB2015fullstats/skim_ncand_D0Dntuple_crab_pp_ALLMinimumBias_AOD_D0_tkpt0p5_Ds_01212016.root")
{
bool sideband = false;
infname="/data/jisun/ppMB2015fullstats/skim_ncand_D0Dntuple_crab_pp_ALLMinimumBias_AOD_D0_tkpt0p5_Ds_01212016.root";
TString outf = "result";
//infname="/data/wangj/Data2015/Dntuple/pp/ntD_EvtBase_20160425_HighPtJet80_DfinderData_pp_20160329_dPt0tkPt0p5_D0Dstar_skim.root";
//TString outf = "result_ppJet80";
//infname="/data/wangj/Data2015/Dntuple/pp/ntD_EvtBase_20160425_HighPtLowerJets_DfinderData_pp_20160329_dPt0tkPt0p5_D0Dstar_skim.root";
//TString outf = "result_ppLowerJets";
//infname="/data/jisun/ppMB2015fullstats/skim_ncand_D0Dntuple_crab_pp_ALLMinimumBias_AOD_D0_tkpt0p5_Ds_01212016.root";
//sideband = true; TString outf = "result_sideband";
// ============== Open file and basic settings ===============
// Open Dntuple file
TFile *inf = new TFile(infname.c_str());
TTree *ntDkpi = (TTree*)inf->Get("ntDkpi");
TTree *ntHlt = (TTree*)inf->Get("ntHlt");
TTree *ntSkim = (TTree*)inf->Get("ntSkim");
ntDkpi->AddFriend(ntHlt);
ntDkpi->AddFriend(ntSkim);
// Define bin size and bin width for trigger turnon curve histograms
const int nBin = 8;
Float_t bins[nBin+1]={0,6,8,10,15,20,30,50,80};
//const int nBin = 12;
//Float_t bins[nBin+1]={0,5,6,8,10,12,15,20,25,30,35,40,70};
// Templates for plotting
TH1D *hTmp2 = new TH1D ("hTmp2","",nBin,bins);
// ============== Selection Criteria ===============
// This MB sample has all pp MB
TCut mbCut = "(HLT_L1MinimumBiasHF1OR_part0_v1|| \
HLT_L1MinimumBiasHF1OR_part1_v1|| \
HLT_L1MinimumBiasHF1OR_part2_v1|| \
HLT_L1MinimumBiasHF1OR_part3_v1|| \
HLT_L1MinimumBiasHF1OR_part4_v1|| \
HLT_L1MinimumBiasHF1OR_part5_v1|| \
HLT_L1MinimumBiasHF1OR_part6_v1|| \
HLT_L1MinimumBiasHF1OR_part7_v1|| \
HLT_L1MinimumBiasHF1OR_part8_v1|| \
HLT_L1MinimumBiasHF1OR_part9_v1|| \
HLT_L1MinimumBiasHF1OR_part10_v1|| \
HLT_L1MinimumBiasHF1OR_part11_v1|| \
HLT_L1MinimumBiasHF1OR_part12_v1|| \
HLT_L1MinimumBiasHF1OR_part13_v1|| \
HLT_L1MinimumBiasHF1OR_part14_v1|| \
HLT_L1MinimumBiasHF1OR_part15_v1|| \
HLT_L1MinimumBiasHF1OR_part16_v1|| \
HLT_L1MinimumBiasHF1OR_part17_v1|| \
HLT_L1MinimumBiasHF1OR_part18_v1|| \
HLT_L1MinimumBiasHF1OR_part19_v1)";
// L1 trigger thresholds
TCut l1Cut16 = "L1_SingleJet16_BptxAND==1";
TCut l1Cut24 = "L1_SingleJet24_BptxAND==1";
TCut l1Cut28 = "L1_SingleJet28_BptxAND==1";
TCut l1Cut40 = "L1_SingleJet40_BptxAND==1";
TCut l1Cut48 = "L1_SingleJet48_BptxAND==1";
// D meson selection
TCut DmassCut = "(abs(Dmass-1.8696)<0.03)";
TCut DmesonCut = "Dy>-1.&&Dy<1&&(DsvpvDistance/DsvpvDisErr)>3.5&&(DlxyBS/DlxyBSErr)>2.0&&Dchi2cl>0.05&&Dalpha<0.12";
TCut DmesonDaughterTrkCut = "Dtrk1highPurity&&Dtrk2highPurity&&Dtrk1Pt>2.0&&Dtrk2Pt>2.0&&Dtrk1PtErr/Dtrk1Pt<0.1&&Dtrk2PtErr/Dtrk2Pt<0.1&&abs(Dtrk1Eta)<2.0&&abs(Dtrk2Eta)<2.0&&Dtrk1Algo>3&&Dtrk1Algo<8&&Dtrk2Algo>3&&Dtrk2Algo<8&&(Dtrk1PixelHit+Dtrk1StripHit)>=11&&(Dtrk1Chi2ndf/(Dtrk1nStripLayer+Dtrk1nPixelLayer)<0.15)&&(Dtrk2Chi2ndf/(Dtrk2nStripLayer+Dtrk2nPixelLayer)<0.15)";
if (sideband) DmassCut = "(abs(Dmass-1.8696)>0.06 && abs(Dmass-1.8696)>0.12)";
// Final selection for D candidates for trigger turnon studies
TCut DAnaCut = DmassCut && DmesonCut && DmesonDaughterTrkCut;
// HLT trigger thresholds
TCut HLTCut8 = "HLT_DmesonPPTrackingGlobal_Dpt8_v1";
TCut HLTCut15 = "HLT_DmesonPPTrackingGlobal_Dpt15_v1";
TCut HLTCut20 = "HLT_DmesonPPTrackingGlobal_Dpt20_v1";
TCut HLTCut30 = "HLT_DmesonPPTrackingGlobal_Dpt30_v1";
TCut HLTCut50 = "HLT_DmesonPPTrackingGlobal_Dpt50_v1";
// ============== L1 trigger efficiency study ===============
int W = 600;
int H = 600;
int H_ref = 600;
int W_ref = 600;
// references for T, B, L, R
float T = 0.08*H_ref;
float B = 0.14*H_ref;
float L = 0.14*W_ref;
float R = 0.08*W_ref;
TString canvName = "TRDFigure_Centrality";
TCanvas* c = new TCanvas(canvName,canvName,50,50,W,H);
c->cd();
c->SetFillColor(0);
c->SetBorderMode(0);
c->SetFrameFillStyle(0);
c->SetFrameBorderMode(0);
c->SetLeftMargin( L/W );
c->SetRightMargin( R/W );
c->SetTopMargin( T/H );
c->SetBottomMargin( B/H );
TH2D *hTmp = new TH2D ("hTmp","",100,0,60,100,0,1.4);
hTmp->GetXaxis()->SetTitle("p_{T} (D^{0}) (GeV)");
hTmp->GetYaxis()->SetTitleOffset(1.15);
hTmp->GetXaxis()->SetTitleOffset(0.95);
hTmp->GetYaxis()->SetTitle("HLT Efficiency");
hTmp->GetYaxis()->CenterTitle();
hTmp->GetXaxis()->CenterTitle();
hTmp->SetMaximum(1.4);
hTmp->GetXaxis()->SetTitleFont(42);
hTmp->GetXaxis()->SetLabelFont(42);
hTmp->GetXaxis()->SetTitleSize(0.06);
hTmp->GetXaxis()->SetLabelSize(0.05);
hTmp->GetYaxis()->SetTitleFont(42);
hTmp->GetYaxis()->SetLabelFont(42);
hTmp->GetYaxis()->SetTitleSize(0.06);
hTmp->GetYaxis()->SetLabelSize(0.05);
// TGraphAsymmErrors* g8 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut16), HLTCut8, nBin, bins);
// TGraphAsymmErrors* g15 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut24), HLTCut15, nBin, bins);
TGraphAsymmErrors* g20 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut28), HLTCut20, nBin, bins);
TGraphAsymmErrors* g30 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut40), HLTCut30, nBin, bins);
TGraphAsymmErrors* g50 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&l1Cut48), HLTCut50, nBin, bins);
/*
TGraphAsymmErrors* g8 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&l1Cut16), HLTCut8, nBin, bins);
TGraphAsymmErrors* g15 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&l1Cut24), HLTCut15, nBin, bins);
TGraphAsymmErrors* g20 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&l1Cut28), HLTCut20, nBin, bins);
TGraphAsymmErrors* g30 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&l1Cut40), HLTCut30, nBin, bins);
*/
hTmp->Draw();
// g8->SetLineColor(1);
// g8->SetMarkerColor(1);
// g8->Draw("p same");
// g15->SetLineColor(2);
// g15->SetMarkerColor(2);
// g15->Draw("pl same");
g20->SetLineColor(4);
g20->SetMarkerColor(4);
g20->Draw("pl same");
g30->SetLineColor(kGreen+2);
g30->SetMarkerColor(kGreen+2);
g30->Draw("pl same");
g50->SetLineColor(kOrange);
g50->SetMarkerColor(kOrange);
g50->Draw("pl same");
TLegend *legend=new TLegend(0.4579866,0.2472028,0.8389262,0.4342657,"");
legend->SetBorderSize(0);
legend->SetLineColor(0);
legend->SetFillColor(0);
legend->SetFillStyle(1001);
legend->SetTextFont(42);
legend->SetTextSize(0.04);
// TLegendEntry *ent_g8=legend->AddEntry(g8,"HLT D meson p_{T} #geq 8","pl");
// ent_g8->SetTextFont(42);
// ent_g8->SetLineColor(1);
// ent_g8->SetMarkerColor(1);
// TLegendEntry *ent_g15=legend->AddEntry(g15,"HLT D meson p_{T} #geq15","pl");
// ent_g15->SetTextFont(42);
// ent_g15->SetLineColor(1);
// ent_g15->SetMarkerColor(1);
TLegendEntry *ent_g20=legend->AddEntry(g20,"HLT D meson p_{T} #geq 20","pl");
ent_g20->SetTextFont(42);
ent_g20->SetLineColor(1);
ent_g20->SetMarkerColor(1);
TLegendEntry *ent_g30=legend->AddEntry(g30,"HLT D meson p_{T} #geq 30","pl");
ent_g30->SetTextFont(42);
ent_g30->SetLineColor(1);
ent_g30->SetMarkerColor(1);
TLegendEntry *ent_g50=legend->AddEntry(g50,"HLT D meson p_{T} #geq 50","pl");
ent_g50->SetTextFont(42);
ent_g50->SetLineColor(1);
ent_g50->SetMarkerColor(1);
legend->Draw("same");
CMS_lumi( c, 1, 11 );
TLatex * tlatexeff=new TLatex(0.2079866,0.70,"HLT efficiency with respect to L1 seed");
tlatexeff->SetNDC();
tlatexeff->SetTextColor(1);
tlatexeff->SetTextFont(42);
tlatexeff->SetTextSize(0.040);
// tlatexeff->Draw("same");
c->SaveAs(outf+"/Dmeson-HLTriggerEfficiency.pdf");
c->SaveAs(outf+"/Dmeson-HLTriggerEfficiency.png");
// c->SaveAs(outf+"/Dmeson-HLTriggerEfficiency.jpeg");
// c->SaveAs(outf+"/Dmeson-HLTriggerEfficiency.eps");
c->SaveAs(outf+"/Dmeson-HLTriggerEfficiency.C");
/*
// ============== HLT trigger efficiency study ===============
TCanvas *c2 = new TCanvas("c2","",600,600);
TGraphAsymmErrors* gL16 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleJet16_BptxAND_Prescl==1"), l1Cut16, nBin, bins);
TGraphAsymmErrors* gL24 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleJet24_BptxAND_Prescl==1"), l1Cut24, nBin, bins);
TGraphAsymmErrors* gL28 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleJet28_BptxAND_Prescl==1"), l1Cut28, nBin, bins);
TGraphAsymmErrors* gL40 = getEfficiency(ntDkpi,Form("Max$(Dpt*(%s))",DAnaCut.GetTitle()), TCut(DAnaCut&&mbCut&&"L1_SingleJet40_BptxAND_Prescl==1"), l1Cut40, nBin, bins);
hTmp2->Draw();
hTmp2->SetXTitle("p_{T} (D^{0})(GeV/c)");
hTmp2->SetYTitle("L1 Trigger Efficiency");
gL16->SetMarkerColor(1);
gL16->SetLineColor(1);
gL16->Draw("p same");
gL24->SetMarkerColor(2);
gL24->SetLineColor(2);
gL24->Draw("p same");
gL28->SetMarkerColor(4);
gL28->SetLineColor(4);
gL28->Draw("p same");
gL40->SetMarkerColor(kGreen+2);
gL40->SetLineColor(kGreen+2);
gL40->Draw("p same");
TLegend *leg2 = new TLegend(0.4916107,0.3059441,0.8322148,0.4912587);
leg2->SetBorderSize(0);
leg2->SetFillStyle(0);
leg2->AddEntry(gL16,"pp #sqrt{s} = 5.02 TeV","");
leg2->AddEntry(gL16,"Level 1 Jet 16","pl");
leg2->AddEntry(gL24,"Level 1 Jet 24","pl");
leg2->AddEntry(gL28,"Level 1 Jet 28","pl");
leg2->AddEntry(gL40,"Level 1 Jet 40","pl");
leg2->Draw();
c2->SaveAs(outf+"/Dmeson-L1TriggerEfficiency.pdf");
c2->SaveAs(outf+"/Dmeson-L1TriggerEfficiency.png");
// c2->SaveAs(outf+"/Dmeson-L1TriggerEfficiency.jpeg");
c2->SaveAs(outf+"/Dmeson-L1TriggerEfficiency.C");
// ============== Plot an example D mass distribution ===============
TCanvas *c3 = new TCanvas("c3","",600,600);
ntDkpi->Draw("Dmass>>h(100,1.7696,1.9696)",DmesonCut&&DmesonDaughterTrkCut&&mbCut&&l1Cut16);
// ..done
*/
}
