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KaonIDStudy.C
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KaonIDStudy.C
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#include "TROOT.h"
#include "TChain.h"
#include "TEfficiency.h"
#include "TH1.h"
#include "TGraphErrors.h"
#include "TCut.h"
#include "TCanvas.h"
#include "TStyle.h"
#include "TLegend.h"
#include "TMath.h"
#include "TLine.h"
#include "TLatex.h"
#include "TRatioPlot.h"
#include "TString.h"
#include <glob.h>
#include <iostream>
#include <iomanip>
#include <vector>
#include "PlotFunctions.h"
void ConfigHistogram(TH1 *h, std::string which = "charm")
{
if (which == "charm") {
h->SetLineColor(kBlue);
h->SetMarkerColor(kBlue);
h->SetMarkerStyle(kOpenSquare);
h->SetMarkerColor(kBlue);
} else if (which == "light") {
h->SetLineColor(kRed);
h->SetMarkerColor(kRed);
h->SetMarkerStyle(kFullCrossX);
h->SetMarkerColor(kRed);
}
}
void KaonIDStudy(TString dir,
TString input,
TString trackname = "barrelDircTrack",
TString filePattern = "*/out.root")
{
auto data = new TChain("tree");
data->SetTitle(input.Data());
auto files = fileVector(Form("%s/%s/%s", dir.Data(), input.Data(), filePattern.Data()));
for (auto file : files)
{
data->Add(file.c_str());
}
// TString trackname = "CF4RICHTrack";
// TString trackname = "mRICHTrack";
// TString trackname = "barrelDircTrack";
// TString trackname = "tofBarrelTrack";
// TString trackname = "dRICHagTrack";
Float_t etaMin = -8;
Float_t etaMax = 8;
TCut *cut_fiducial = nullptr;
Float_t xmin = 0.0;
Float_t xmax = 55.0;
Bool_t logplot = kFALSE;
if (trackname == "mRICHTrack") {
// mRICH
etaMin = -3.5;
etaMax = -1.0;
xmax = 12.0;
} else if (trackname == "barrelDIRCTrack") {
// barrel DIRC
etaMin = -1.0;
etaMax = 1.0;
xmax = 55.0;
} else if (trackname == "CF4RICHTrack") {
// CF4RICH
etaMin = 1.0;
etaMax = 4.0;
} else if (trackname == "tofBarrelTrack") {
// TOF Barrel Detector
etaMin = -2.0;
etaMax = 2.0;
} else if (trackname == "dualRICHTrack") {
// dualRICH, aerogel-based
etaMin = 1.00;
etaMax = 3.50;
// etaMin = 1.48;
// etaMax = 3.91;
xmax = 50.0;
logplot = kTRUE;
}
cut_fiducial = new TCut(Form("%0.1f < pid_track_eta && pid_track_eta < %0.1f && pid_track_pt>0.1", etaMin, etaMax));
Float_t xbinsize = 0.5;
Int_t nbinsx = TMath::Ceil((xmax - xmin) / xbinsize);
TCut cut_truekaon("TMath::Abs(pid_track_true_pid) == 321");
TCut cut_recokaon("TMath::Abs(pid_track_reco_pid) == 321");
TCut cut_truepion("TMath::Abs(pid_track_true_pid) == 211");
TCut cut_recopion("TMath::Abs(pid_track_reco_pid) == 211");
plot_config draw_config;
draw_config.htemplate = new TH1F("TrackPT",
"",
nbinsx,
xmin,
xmax);
// draw_config.xlimits = std::vector<float>();
// draw_config.xlimits.push_back(0);
// draw_config.xlimits.push_back(20);
draw_config.ylimits = std::vector < float > ();
draw_config.ylimits.push_back(0.0);
draw_config.ylimits.push_back(1e4);
draw_config.xtitle = "Track Momentum [GeV]";
draw_config.ytitle = "Frequency";
draw_config.logy = kFALSE;
draw_config.logx = kFALSE;
draw_config.cuts = "";
// Kaon -> Kaon ID
auto true_kaon_pt = GeneratePlot(draw_config, data, "True Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && cut_truekaon);
auto reco_kaon_pt = GeneratePlot(draw_config, data, "Reconstructed Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && cut_truekaon && cut_recokaon);
TH1F *h_template = static_cast < TH1F * > (reco_kaon_pt->Clone("h_template"));
h_template->SetAxisRange(0.0, 1.12, "Y");
if (logplot)
h_template->SetAxisRange(1.0e-5, 10.0, "Y");
h_template->GetYaxis()->SetTitle("Efficiency");
auto pid_efficiency = new TEfficiency(*reco_kaon_pt,
*true_kaon_pt);
pid_efficiency->SetMarkerColor(kBlue);
pid_efficiency->SetFillColor(kBlue);
pid_efficiency->SetLineColor(kBlue);
pid_efficiency->SetMarkerStyle(kOpenSquare);
// Pion -> Kaon ID
auto true_pion_pt = GeneratePlot(draw_config, data, "True Pion PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && cut_truepion);
auto reco_pion_pt = GeneratePlot(draw_config, data, "Reconstructed Pion PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && cut_truepion && cut_recokaon);
auto misid_efficiency = new TEfficiency(*reco_pion_pt,
*true_pion_pt);
misid_efficiency->SetMarkerColor(kRed);
misid_efficiency->SetFillColor(kRed);
misid_efficiency->SetLineColor(kRed);
misid_efficiency->SetMarkerStyle(kFullCrossX);
// Draw!
TCanvas c1("c1",
"",
800,
600);
c1.cd();
c1.SetLogy(logplot);
// true_kaon_pt->Draw("HIST");
// reco_kaon_pt->Draw("E1 SAME");
h_template->Draw("AXIS");
pid_efficiency->Draw("E1 SAME");
misid_efficiency->Draw("E1 SAME");
TLatex etaRange((xmin + (xmax - xmin) * 0.67),
1.05,
Form("%0.1f < #eta < %0.1f", etaMin, etaMax));
etaRange.Draw();
// legend
auto *legend = smart_legend("lower left");
legend->AddEntry(pid_efficiency, "K^{#pm} #rightarrow K^{#pm}", "lp");
legend->AddEntry(misid_efficiency, "#pi^{#pm} #rightarrow K^{#pm}", "lp");
legend->Draw();
c1.SaveAs(Form("%s_KaonIDStudy.pdf", trackname.Data()));
return;
// Plot the pT spectrum for true and reconstructed candidates from charm and
// light jets
// Kaon -> Kaon ID
TCut true_charm_mother("pid_track_jetmother == 4");
TCut true_light_mother("pid_track_jetmother > 0 && pid_track_jetmother < 4");
if (cut_fiducial != nullptr) delete cut_fiducial;
cut_fiducial = new TCut(Form("-4.0 < pid_track_eta && pid_track_eta < 4.0 && pid_track_pt>0.1 && pid_track_jet_pt > 10.0 && TMath::Abs(pid_track_jet_eta)<3.0"));
auto charm_true_kaon_pt = GeneratePlot(draw_config, data, "True Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_charm_mother && cut_truekaon);
auto light_true_kaon_pt = GeneratePlot(draw_config, data, "True Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_light_mother && cut_truekaon);
c1.Clear();
charm_true_kaon_pt->SetYTitle("Probability");
ConfigHistogram(charm_true_kaon_pt, "charm");
ConfigHistogram(light_true_kaon_pt, "light");
charm_true_kaon_pt->Rebin(2);
light_true_kaon_pt->Rebin(2);
TH1 *charm_true_kaon = charm_true_kaon_pt->DrawNormalized("E1");
TH1 *light_true_kaon = light_true_kaon_pt->DrawNormalized("E1 SAME");
charm_true_kaon->SetAxisRange(1e-5, 1.0, "Y");
c1.SetLogy();
c1.SaveAs(Form("True_Kaon_Momentum.pdf"));
auto charm_reco_kaon_pt = GeneratePlot(draw_config, data, "reco Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_charm_mother && cut_truekaon && cut_recokaon);
auto light_reco_kaon_pt = GeneratePlot(draw_config, data, "True Kaon PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_light_mother && cut_truekaon && cut_recokaon);
c1.Clear();
charm_reco_kaon_pt->SetYTitle("Probability");
ConfigHistogram(charm_reco_kaon_pt, "charm");
ConfigHistogram(light_reco_kaon_pt, "light");
charm_reco_kaon_pt->Rebin(2);
light_reco_kaon_pt->Rebin(2);
TH1 *charm_reco_kaon = charm_reco_kaon_pt->DrawNormalized("E1");
TH1 *light_reco_kaon = light_reco_kaon_pt->DrawNormalized("E1 SAME");
charm_reco_kaon->SetAxisRange(1e-5, 1.0, "Y");
c1.SetLogy();
c1.SaveAs(Form("Reco_Kaon_Momentum.pdf"));
//
// Zoom in on the low-momentum region, where most of the true kaons in CC DIS
// live.
//
plot_config kaon_low_p_config;
kaon_low_p_config.htemplate = new TH1F("TrackMomentum_Low",
"",
100,
0.0,
10.0);
// kaon_low_p_config.xlimits = std::vector < float > ();
// kaon_low_p_config.xlimits.push_back(0);
// kaon_low_p_config.xlimits.push_back(10);
kaon_low_p_config.ylimits = std::vector < float > ();
kaon_low_p_config.ylimits.push_back(0.0);
kaon_low_p_config.ylimits.push_back(1.0e6);
kaon_low_p_config.xtitle = "Track Momentum [GeV]";
kaon_low_p_config.ytitle = "Frequency";
kaon_low_p_config.logy = kFALSE;
kaon_low_p_config.logx = kFALSE;
kaon_low_p_config.cuts = "";
// auto reco_kaon_pt = GeneratePlot(draw_config, data, "Reconstructed Kaon
// PT", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial &&
// cut_truekaon && cut_recokaon);
auto charm_true_kaon_p_low = GeneratePlot(kaon_low_p_config, data, "Charm True Kaon P", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_charm_mother && cut_truekaon);
auto light_true_kaon_p_low = GeneratePlot(kaon_low_p_config, data, "Light True Kaon P", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_light_mother && cut_truekaon);
std::cout << charm_true_kaon_p_low->GetNbinsX() << std::endl;
std::cout << light_true_kaon_p_low->GetNbinsX() << std::endl;
c1.Clear();
c1.SetLogy(kaon_low_p_config.logy);
c1.SetLogx(kaon_low_p_config.logx);
charm_true_kaon_p_low->SetYTitle("Probability");
ConfigHistogram(charm_true_kaon_p_low, "charm");
ConfigHistogram(light_true_kaon_p_low, "light");
charm_true_kaon = charm_true_kaon_p_low->DrawNormalized("E1");
light_true_kaon = light_true_kaon_p_low->DrawNormalized("E1 SAME");
charm_true_kaon->SetAxisRange(0.0, 0.04, "Y");
c1.SaveAs(Form("True_Kaon_Momentum_Low.pdf"));
// Zoomed, reconstructed momentum
auto charm_reco_kaon_p_low = GeneratePlot(kaon_low_p_config, data, "Charm True Kaon P", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_charm_mother && cut_truekaon && cut_recokaon);
auto light_reco_kaon_p_low = GeneratePlot(kaon_low_p_config, data, "Light True Kaon P", "pid_track_pt*TMath::CosH(pid_track_eta)", *cut_fiducial && true_light_mother && cut_truekaon && cut_recokaon);
std::cout << charm_reco_kaon_p_low->GetNbinsX() << std::endl;
std::cout << light_reco_kaon_p_low->GetNbinsX() << std::endl;
c1.Clear();
c1.SetLogy(kaon_low_p_config.logy);
c1.SetLogx(kaon_low_p_config.logx);
charm_reco_kaon_p_low->SetYTitle("Probability");
ConfigHistogram(charm_reco_kaon_p_low, "charm");
ConfigHistogram(light_reco_kaon_p_low, "light");
charm_reco_kaon = charm_reco_kaon_p_low->DrawNormalized("E1");
light_reco_kaon = light_reco_kaon_p_low->DrawNormalized("E1 SAME");
charm_reco_kaon->SetAxisRange(0.0, 0.04, "Y");
c1.SaveAs(Form("Reco_Kaon_Momentum_Low.pdf"));
}