void analyseFitToystudiesB0(string filename, bool justTau = false)
{
fileprefix = "fitToyStudiesB0";
TTree *t = new TTree;
t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err");
if (!justTau)
{
plotPulls(t, "tau_pulls", "#tau(B^{0})", "tau", 1.529, 100, 5.0);
plotPulls(t, "mass_pulls", "m(B^{0})", "mass_peak", 5.27950, 100, 5.0);
plotPulls(t, "tau_bk_pulls", "#tau_{bgr}(B^{0})", "tau_bk", 0.750, 100, 5.0);
plotPulls(t, "nsig_pulls", "n_{sig}", "n_signal", 6750, 100, 5.0);
plotPulls(t, "npr_pulls", "n_{prompt}", "n_prompt", 3375, 100, 10);
plotPulls(t, "nnpr_pulls", "n_{nonprompt}", "n_nonprompt", 1125, 100, 10);
}
plotHisto(t, "tau_histo", "#tau(B^{0})", "ps", "tau", 100, 1.30, 1.70);
if (!justTau)
{
plotHisto(t, "mass_histo", "m(B^{0})", "GeV", "mass_peak", 100, 5.2785, 5.281);
plotHisto(t, "tau_bk_histo", "#tau_{bgr}(B^{0})", "ps", "tau_bk", 100, 0.5, 0.9);
plotHisto(t, "nsig_histo", "n_{sig}", "", "n_signal", 100, 6500, 7000);
plotHisto(t, "npr_histo", "n_{prompt}", "", "n_prompt", 100, 2900, 3900);
plotHisto(t, "nnpr_histo", "n_{nonprompt}", "", "n_nonprompt", 100, 950, 1450);
}
}
void analyseFitToystudiesLb(string filename, bool justTau = false)
{
fileprefix = "fitToyStudiesLb";
TTree *t = new TTree;
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err"); // alter Fit
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err:npr_reso_sigma:npr_reso_sigma_err:sig_reso_sigma:sig_reso_sigma_err"); // Fit ohne PEE
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:reso_bias:reso_bias_err:reso_sigma:reso_sigma_err"); // Fit mit PEE 1 Gauss
t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:reso_bias:reso_bias_err:reso_sigma:reso_sigma_err:npr_reso_bias:npr_reso_bias_err:npr_reso_sigma:npr_reso_sigma_err:sig_reso_bias:sig_reso_bias_err:sig_reso_sigma:sig_reso_sigma_err"); // Fit mit PEE 3 Gauss
//t.Draw("tau>>htau");
//t->Draw("(tau-1.507)/tau_err>>htau_pulls(100,-5,5)");
if (!justTau)
{
const int Nevents = 5000;
const double bgrfrac = 0.8;
const double nonprfrac = 0.25;
const int Nsig = Nevents * (1-bgrfrac);
const int Npr = Nevents * bgrfrac * ( 1-nonprfrac);
const int Nnpr = Nevents * bgrfrac * nonprfrac;
plotPulls(t, "tau_pulls", "#tau(#Lambda_{b})", "tau", 1.507, 100, 5.0);
plotPulls(t, "mass_pulls", "m(#Lambda_{b})", "mass_peak", 5.6202, 100, 5.0);
plotPulls(t, "tau_bk_pulls", "#tau_{bgr}(#Lambda_{b})", "tau_bk", 0.750, 100, 5.0);
plotPulls(t, "nsig_pulls", "n_{sig}", "n_signal", Nsig, 100, 5.0);
plotPulls(t, "npr_pulls", "n_{prompt}", "n_prompt", Npr, 100, 10.0);
plotPulls(t, "nnpr_pulls", "n_{nonprompt}", "n_nonprompt", Nnpr, 100, 10.0);
}
plotHisto(t, "tau_histo", "#tau(#Lambda_{b})", "ps", "tau", 100, 1.30, 1.70);
if (!justTau)
{
plotHisto(t, "mass_histo", "m(#Lambda_{b})", "GeV", "mass_peak", 100, 5.615, 5.625);
plotHisto(t, "tau_bk_histo", "#tau_{bgr}(#Lambda_{b})", "ps", "tau_bk", 100, 0.5, 0.9);
plotHisto(t, "nsig_histo", "n_{sig}", "", "n_signal", 100, .8*Nsig, 1.2*Nsig);
plotHisto(t, "npr_histo", "n_{prompt}", "", "n_prompt", 100, .8*Npr, 1.2*Npr);
plotHisto(t, "nnpr_histo", "n_{nonprompt}", "", "n_nonprompt", 100, 0.8*Nnpr, 1.2*Nnpr);
}
}
void plotPulls(TTree *t, string hname, string valtitle, string toPlot, double trueVal, int nBins = 100, double range = 5.0)
{
plotPulls(t, hname, valtitle, toPlot, trueVal, nBins, -range, range);
}
void IterTrackValHistoPublisher(char* newFile="NEW_FILE",char* refFile="REF_FILE")
{
//gROOT->ProcessLine(".x HistoCompare_Tracks.C");
gROOT ->Reset();
gROOT ->SetBatch();
//========= settings ====================
gROOT->SetStyle("Plain");
gStyle->SetPadGridX(kTRUE);
gStyle->SetPadGridY(kTRUE);
gStyle->SetPadRightMargin(0.07);
gStyle->SetPadLeftMargin(0.13);
//gStyle->SetTitleXSize(0.07);
//gStyle->SetTitleXOffset(0.6);
//tyle->SetTitleYSize(0.3);
//gStyle->SetLabelSize(0.6)
//gStyle->SetTextSize(0.5);
char* refLabel("REF_LABEL, REF_RELEASE REFSELECTION");
char* newLabel("NEW_LABEL, NEW_RELEASE NEWSELECTION");
//=============================================
delete gROOT->GetListOfFiles()->FindObject(refFile);
delete gROOT->GetListOfFiles()->FindObject(newFile);
TText* te = new TText();
TFile * sfile = new TFile(newFile);
TDirectory * sdir=gDirectory;
TFile * rfile = new TFile(refFile);
TDirectory * rdir=gDirectory;
if(sfile->GetDirectory("DQMData/Run 1/RecoTrackV")) sfile->cd("DQMData/Run 1/RecoTrackV/Run summary/Track");
else if(sfile->GetDirectory("DQMData/RecoTrackV/Track"))sfile->cd("DQMData/RecoTrackV/Track");
else if(sfile->GetDirectory("DQMData/Run 1/Tracking")) sfile->cd("DQMData/Run 1/Tracking/Run summary/Track");
else if(sfile->GetDirectory("DQMData/Tracking/Track"))sfile->cd("DQMData/Tracking/Track");
sdir=gDirectory;
TList *sl= sdir->GetListOfKeys();
TString collname2 =sl->At(0)->GetName();
// select generalTracks to make the usual validation plots for
int num_col = sl->GetSize();
for(int i=0; i<num_col;i++){
collname2 =sl->At(i)->GetName();
if(collname2.Contains("general")) break;
}
//cout << "collname2 = " << collname2 << endl;
if(rfile->GetDirectory("DQMData/Run 1/RecoTrackV")) rfile->cd("DQMData/Run 1/RecoTrackV/Run summary/Track");
else if(rfile->GetDirectory("DQMData/RecoTrackV/Track"))rfile->cd("DQMData/RecoTrackV/Track");
else if(rfile->GetDirectory("DQMData/Run 1/Tracking")) rfile->cd("DQMData/Run 1/Tracking/Run summary/Track");
else if(rfile->GetDirectory("DQMData/Tracking/Track"))rfile->cd("DQMData/Tracking/Track");
rdir=gDirectory;
TList *rl= rdir->GetListOfKeys();
TString collname1=rl->At(0)->GetName();
num_col = rl->GetSize();
for(int i=0; i<num_col;i++){
collname1 =rl->At(i)->GetName();
if(collname1.Contains("general")) break;
}
//cout << "collname1 = " << collname1 << endl;
//int num_col = rl->GetSize();
//for(int i=0; i<num_col;i++){
// cout << " >>>>>>>>>dir " << i << " name = " << rl->At(i)->GetName() << endl;
//}
//HistoCompare_Tracks * myPV = new HistoCompare_Tracks();
TCanvas *canvas;
TH1F *sh1,*rh1;
TH1F *sh2,*rh2;
TH1F *sh3,*rh3;
TH1F *sh4,*rh4;
TH1F *sh5,*rh5;
TH1F *sh6,*rh6;
TH1F *sc1,*rc1;
TH1F *sc2,*rc2;
TH1F *sc3,*rc3;
bool hit=1;
bool chi2=1;
bool ctf=1;
bool rs=0;
//////////////////////////////////////
/////////// CTF //////////////////////
//////////////////////////////////////
if (ctf){
//===== building
rdir->GetObject(collname1+"/effic",rh1);
sdir->GetObject(collname2+"/effic",sh1);
rh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rh1->GetXaxis()->SetTitle("#eta");
rh1->GetYaxis()->SetTitle("efficiency vs #eta");
rh1->GetYaxis()->SetTitleSize(0.05);
rh1->GetYaxis()->SetTitleOffset(1.2);
// rh1->GetYaxis()->SetRangeUser(0.5,1.025);
// sh1->GetYaxis()->SetRangeUser(0.5,1.025);
rdir->GetObject(collname1+"/fakerate",rh2);
sdir->GetObject(collname2+"/fakerate",sh2);
rh2->GetYaxis()->SetRangeUser(0.,MAXFAKE);
sh2->GetYaxis()->SetRangeUser(0.,MAXFAKE);
rh2->GetXaxis()->SetTitle("#eta");
rh2->GetYaxis()->SetTitle("fakerate vs #eta");
rh2->GetYaxis()->SetTitleSize(0.05);
rh2->GetYaxis()->SetTitleOffset(1.2);
// rh2->GetYaxis()->SetRangeUser(0.,.70);
// sh2->GetYaxis()->SetRangeUser(0.,.70);
rdir->GetObject(collname1+"/efficPt",rh3);
sdir->GetObject(collname2+"/efficPt",sh3);
rh3->GetXaxis()->SetRangeUser(0,300);
sh3->GetXaxis()->SetRangeUser(0,300);
rh3->GetXaxis()->SetTitle("p_{t}");
rh3->GetYaxis()->SetTitle("efficiency vs p_{t}");
rh3->GetYaxis()->SetTitleSize(0.05);
rh3->GetYaxis()->SetTitleOffset(1.2);
rh3->SetTitle("");
rdir->GetObject(collname1+"/fakeratePt",rh4);
sdir->GetObject(collname2+"/fakeratePt",sh4);
rh4->SetTitle("");
rh4->GetXaxis()->SetTitle("p_{t}");
rh4->GetYaxis()->SetTitle("fakrate vs p_{t}");
rh4->GetYaxis()->SetTitleSize(0.05);
rh4->GetYaxis()->SetTitleOffset(1.2);
rh4->GetYaxis()->SetRangeUser(0.,.80);
sh4->GetYaxis()->SetRangeUser(0.,.80);
rh4->GetXaxis()->SetRangeUser(0.2,300);
sh4->GetXaxis()->SetRangeUser(0.2,300);
rdir->GetObject(collname1+"/effic_vs_hit",rh5);
sdir->GetObject(collname2+"/effic_vs_hit",sh5);
rh5->GetXaxis()->SetTitle("hits");
rh5->GetYaxis()->SetTitle("efficiency vs hits");
rh5->GetYaxis()->SetTitleSize(0.05);
rh5->GetYaxis()->SetTitleOffset(1.2);
//rh3->GetXaxis()->SetRangeUser(0,30);
//sh3->GetXaxis()->SetRangeUser(0,30);
rdir->GetObject(collname1+"/fakerate_vs_hit",rh6);
sdir->GetObject(collname2+"/fakerate_vs_hit",sh6);
rh6->GetYaxis()->SetRangeUser(0.,1.0);
rh6->GetYaxis()->SetRangeUser(0.,1.0);
rh6->GetXaxis()->SetTitle("hits");
rh6->GetYaxis()->SetTitle("fakerate vs hits");
rh6->GetYaxis()->SetTitleSize(0.05);
rh6->GetYaxis()->SetTitleOffset(1.2);
//rdir->GetObject(collname1+"/num_reco_pT",rh6);
//sdir->GetObject(collname2+"/num_reco_pT",sh6);
canvas = new TCanvas("Tracks","Tracks: efficiency & fakerate",1000,1400);
//NormalizeHistograms(rh2,sh2);
//NormalizeHistograms(rh6,sh6);
//rh1->GetYaxis()->SetRangeUser(8,24);
//sh1->GetYaxis()->SetRangeUser(8,24);
//rh6->GetXaxis()->SetRangeUser(0,10);
//sh6->GetXaxis()->SetRangeUser(0,10);
TH1F * r[6]={rh1,rh2,rh3,rh4,rh5,rh6};
TH1F * s[6]={sh1,sh2,sh3,sh4,sh5,sh6};
plotBuilding(canvas,s, r,6,
te,"UU",-1, 1, false, 0xC);
canvas->cd();
//TPaveText* text = new TPaveText(0.25,0.72,0.75,0.77,"prova");
//text->SetFillColor(0);
//text->SetTextColor(1);
//text->Draw();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("building.pdf");
delete l;
// ====== hits and pt
rdir->GetObject(collname1+"/nhits_vs_eta_pfx",(TProfile*)rh1);
sdir->GetObject(collname2+"/nhits_vs_eta_pfx",(TProfile*)sh1);
rdir->GetObject(collname1+"/hits",rh2);
sdir->GetObject(collname2+"/hits",sh2);
rdir->GetObject(collname1+"/num_simul_pT",rh3);
sdir->GetObject(collname2+"/num_simul_pT",sh3);
rdir->GetObject(collname1+"/num_reco_pT",rh4);
sdir->GetObject(collname2+"/num_reco_pT",sh4);
canvas = new TCanvas("Tracks1","Tracks: hits and Pt",1000,1050);
rh1->GetYaxis()->SetRangeUser(8,24);
sh1->GetYaxis()->SetRangeUser(8,24);
rh1->GetXaxis()->SetTitle("#eta");
rh1->GetYaxis()->SetTitle("<hits> vs #eta");
rh2->GetXaxis()->SetRangeUser(0,30);
sh2->GetXaxis()->SetRangeUser(0,30);
rh2->GetXaxis()->SetTitle("hits");
rh3->GetXaxis()->SetRangeUser(0,10);
sh3->GetXaxis()->SetRangeUser(0,10);
rh3->GetXaxis()->SetTitle("p_{t}");
rh4->GetXaxis()->SetRangeUser(0,10);
sh4->GetXaxis()->SetRangeUser(0,10);
rh4->GetXaxis()->SetTitle("p_{t}");
NormalizeHistograms(rh3,sh3);
NormalizeHistograms(rh4,sh4);
plot4histos(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
te,"UU",-1);
canvas->cd();
l = new TLegend(0.20,0.49,0.90,0.54);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("hitsAndPt.pdf");
delete l;
//===== tuning
rdir->GetObject(collname1+"/chi2",rh1);
sdir->GetObject(collname2+"/chi2",sh1);
rdir->GetObject(collname1+"/chi2_prob",rh2);
sdir->GetObject(collname2+"/chi2_prob",sh2);
rdir->GetObject(collname1+"/chi2_vs_eta_pfx",(TProfile*)rh3);
sdir->GetObject(collname2+"/chi2_vs_eta_pfx",(TProfile*)sh3);
rdir->GetObject(collname1+"/ptres_vs_eta_Mean",rh4);
sdir->GetObject(collname2+"/ptres_vs_eta_Mean",sh4);
canvas = new TCanvas("Tracks2","Tracks: chi2 & chi2 probability",1000,1050);
NormalizeHistograms(rh1,sh1);
NormalizeHistograms(rh2,sh2);
fixRangeY(rh1,sh1);
fixRangeY(rh2,sh2);
rh1->GetXaxis()->SetTitle("#chi^{2}");
rh2->GetXaxis()->SetTitle("Prob(#chi^{2})");
rh3->GetYaxis()->SetRangeUser(0,2.5);
sh3->GetYaxis()->SetRangeUser(0,2.5);
rh3->SetTitle("");
rh3->GetYaxis()->SetTitleSize(0.05);
rh3->GetYaxis()->SetTitleOffset(1.2);
rh3->GetYaxis()->SetTitle("< #chi^{2} / ndf >");
rh3->GetXaxis()->SetTitleSize(0.07);
rh3->GetXaxis()->SetTitleOffset(0.6);
rh3->GetXaxis()->SetTitle("#eta");
rh4->Scale(100.);
sh4->Scale(100.);
rh4->GetYaxis()->SetRangeUser(-1.5,1.5);
sh4->GetYaxis()->SetRangeUser(-1.5,1.5);
rh4->SetTitle("");
rh4->GetYaxis()->SetTitleSize(0.05);
rh4->GetYaxis()->SetTitleOffset(1.2);
rh4->GetYaxis()->SetTitle("< #delta p_{t} / p_{t} > [%]");
rh4->GetXaxis()->SetTitleSize(0.07);
rh4->GetXaxis()->SetTitleOffset(0.6);
rh4->GetXaxis()->SetTitle("#eta");
plot4histos(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
te,"UU",-1);
canvas->cd();
l = new TLegend(0.20,0.48,0.90,0.53);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("tuning.pdf");
delete l;
//===== pulls
rdir->GetObject(collname1+"/pullPt",rh1);
sdir->GetObject(collname2+"/pullPt",sh1);
rdir->GetObject(collname1+"/pullQoverp",rh2);
sdir->GetObject(collname2+"/pullQoverp",sh2);
rdir->GetObject(collname1+"/pullPhi",rh3);
sdir->GetObject(collname2+"/pullPhi",sh3);
rdir->GetObject(collname1+"/pullTheta",rh4);
sdir->GetObject(collname2+"/pullTheta",sh4);
rdir->GetObject(collname1+"/pullDxy",rh5);
sdir->GetObject(collname2+"/pullDxy",sh5);
rdir->GetObject(collname1+"/pullDz",rh6);
sdir->GetObject(collname2+"/pullDz",sh6);
canvas = new TCanvas("Tracks4","Tracks: pull of Pt, Qoverp and Phi",1000,1400);
NormalizeHistograms(rh1,sh1);
NormalizeHistograms(rh2,sh2);
NormalizeHistograms(rh3,sh3);
NormalizeHistograms(rh4,sh4);
NormalizeHistograms(rh5,sh5);
NormalizeHistograms(rh6,sh6);
rh1->GetXaxis()->SetRangeUser(-10,10);
sh1->GetXaxis()->SetRangeUser(-10,10);
rh2->GetXaxis()->SetRangeUser(-10,10);
sh2->GetXaxis()->SetRangeUser(-10,10);
rh3->GetXaxis()->SetRangeUser(-10,10);
sh3->GetXaxis()->SetRangeUser(-10,10);
rh4->GetXaxis()->SetRangeUser(-10,10);
sh4->GetXaxis()->SetRangeUser(-10,10);
rh5->GetXaxis()->SetRangeUser(-10,10);
sh5->GetXaxis()->SetRangeUser(-10,10);
rh6->GetXaxis()->SetRangeUser(-10,10);
sh6->GetXaxis()->SetRangeUser(-10,10);
plotPulls(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
sh5,rh5,sh6,rh6,
te,"UU",-1);
canvas->cd();
l = new TLegend(0.20,0.655,0.80,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("pulls.pdf");
delete l;
//===== resolutions vs eta
rdir->GetObject(collname1+"/phires_vs_eta_Sigma",rh1);
sdir->GetObject(collname2+"/phires_vs_eta_Sigma",sh1);
rdir->GetObject(collname1+"/cotThetares_vs_eta_Sigma",rh2);
sdir->GetObject(collname2+"/cotThetares_vs_eta_Sigma",sh2);
rdir->GetObject(collname1+"/dxyres_vs_eta_Sigma",rh3);
sdir->GetObject(collname2+"/dxyres_vs_eta_Sigma",sh3);
rdir->GetObject(collname1+"/dzres_vs_eta_Sigma",rh4);
sdir->GetObject(collname2+"/dzres_vs_eta_Sigma",sh4);
rdir->GetObject(collname1+"/ptres_vs_eta_Sigma",rh5);
sdir->GetObject(collname2+"/ptres_vs_eta_Sigma",sh5);
canvas = new TCanvas("Tracks7","Tracks: Dxy, Dz, Theta resolution",1000,1400);
plotResolutions(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
sh5,rh5,sh6,rh6,
te,"UU",-1);
// new general range
rh1->GetYaxis()->SetRangeUser(0.000009,0.01);
sh1->GetYaxis()->SetRangeUser(0.000009,0.01);
rh1->SetTitle("");
rh1->GetYaxis()->SetTitleSize(0.05);
rh1->GetYaxis()->SetTitleOffset(1.2);
// rh1->GetYaxis()->SetTitleColor(2);
rh1->GetYaxis()->SetTitle("#sigma(#delta #phi) [rad]");
rh1->GetXaxis()->SetTitleSize(0.07);
rh1->GetXaxis()->SetTitleOffset(0.6);
rh1->GetXaxis()->SetTitle("#eta");
// new general range
rh2->GetYaxis()->SetRangeUser(0.00009,0.03);
sh2->GetYaxis()->SetRangeUser(0.00009,0.03);
// for multi-track samples
//rh2->GetYaxis()->SetRangeUser(0.0009,0.01);
//sh2->GetYaxis()->SetRangeUser(0.0009,0.01);
// for single particle pt 10
//rh2->GetYaxis()->SetRangeUser(0.00009,0.01);
//sh2->GetYaxis()->SetRangeUser(0.00009,0.01);
// for single particle pt 1
//rh2->GetYaxis()->SetRangeUser(0.0009,0.01);
//sh2->GetYaxis()->SetRangeUser(0.0009,0.01);
rh2->SetTitle("");
rh2->GetYaxis()->SetTitleSize(0.05);
rh2->GetYaxis()->SetTitleOffset(1.2);
rh2->GetYaxis()->SetTitle("#sigma(#delta cot(#theta)) ");
rh2->GetXaxis()->SetTitleSize(0.07);
rh2->GetXaxis()->SetTitleOffset(0.6);
rh2->GetXaxis()->SetTitle("#eta");
// new general range
rh3->GetYaxis()->SetRangeUser(0.00009,0.05);
sh3->GetYaxis()->SetRangeUser(0.00009,0.05);
// for multi-track samples
//rh3->GetYaxis()->SetRangeUser(0.0009,0.02);
//sh3->GetYaxis()->SetRangeUser(0.0009,0.02);
//rh3->GetYaxis()->SetRangeUser(0.0009,0.02);
//sh3->GetYaxis()->SetRangeUser(0.0009,0.02);
// for single particle pt 100
//rh3->GetYaxis()->SetRangeUser(0.00009,0.002);
//sh3->GetYaxis()->SetRangeUser(0.00009,0.002);
rh3->SetTitle("");
rh3->GetYaxis()->SetTitleSize(0.05);
rh3->GetYaxis()->SetTitleOffset(1.2);
rh3->GetYaxis()->SetTitle("#sigma(#delta d_{0}) [cm]");
rh3->GetXaxis()->SetTitleSize(0.07);
rh3->GetXaxis()->SetTitleOffset(0.6);
rh3->GetXaxis()->SetTitle("#eta");
// new general range
rh4->GetYaxis()->SetRangeUser(0.0009,0.1);
sh4->GetYaxis()->SetRangeUser(0.0009,0.1);
// for multi-track samples
//rh4->GetYaxis()->SetRangeUser(0.0009,0.08);
//sh4->GetYaxis()->SetRangeUser(0.0009,0.08);
rh4->SetTitle("");
rh4->GetYaxis()->SetTitleSize(0.05);
rh4->GetYaxis()->SetTitleOffset(1.2);
rh4->GetYaxis()->SetTitle("#sigma(#delta z_{0}) [cm]");
rh4->GetXaxis()->SetTitleSize(0.07);
rh4->GetXaxis()->SetTitleOffset(0.6);
rh4->GetXaxis()->SetTitle("#eta");
rh5->SetTitle("");
rh5->GetYaxis()->SetTitleSize(0.05);
rh5->GetYaxis()->SetTitleOffset(1.2);
rh5->GetYaxis()->SetTitle("#sigma(#delta p_{t}/p_{t}) ");
rh5->GetXaxis()->SetTitleSize(0.07);
rh5->GetXaxis()->SetTitleOffset(0.6);
rh5->GetXaxis()->SetTitle("#eta");
/* plotResolutions(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
sh5,rh5,sh6,rh6,
te,"UU",-1);
*/
canvas->cd();
l = new TLegend(0.10,0.63,0.90,0.67);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("resolutionsEta.pdf");
delete l;
//===== resolutions vs pt
rdir->GetObject(collname1+"/phires_vs_pt_Sigma",rh1);
sdir->GetObject(collname2+"/phires_vs_pt_Sigma",sh1);
rdir->GetObject(collname1+"/cotThetares_vs_pt_Sigma",rh2);
sdir->GetObject(collname2+"/cotThetares_vs_pt_Sigma",sh2);
rdir->GetObject(collname1+"/dxyres_vs_pt_Sigma",rh3);
sdir->GetObject(collname2+"/dxyres_vs_pt_Sigma",sh3);
rdir->GetObject(collname1+"/dzres_vs_pt_Sigma",rh4);
sdir->GetObject(collname2+"/dzres_vs_pt_Sigma",sh4);
rdir->GetObject(collname1+"/ptres_vs_pt_Sigma",rh5);
sdir->GetObject(collname2+"/ptres_vs_pt_Sigma",sh5);
rh1->SetTitle("");
rh1->GetYaxis()->SetTitleSize(0.05);
rh1->GetYaxis()->SetTitleOffset(1.2);
rh1->GetYaxis()->SetTitle("#sigma(#delta #phi) [rad]");
rh1->GetXaxis()->SetTitleSize(0.055);
rh1->GetXaxis()->SetTitleOffset(0.8);
rh1->GetXaxis()->SetTitle("p_{t}");
rh1->GetXaxis()->SetRangeUser(0,1000.);
sh1->GetXaxis()->SetRangeUser(0,1000.);
rh2->SetTitle("");
rh2->GetYaxis()->SetTitleSize(0.05);
rh2->GetYaxis()->SetTitleOffset(1.2);
rh2->GetYaxis()->SetTitle("#sigma(#delta cot(#theta)) ");
rh2->GetXaxis()->SetTitleSize(0.055);
rh2->GetXaxis()->SetTitleOffset(0.8);
rh2->GetXaxis()->SetTitle("p_{t}");
rh2->GetXaxis()->SetRangeUser(0,1000.);
sh2->GetXaxis()->SetRangeUser(0,1000.);
rh3->SetTitle("");
rh3->GetYaxis()->SetTitleSize(0.05);
rh3->GetYaxis()->SetTitleOffset(1.2);
rh3->GetYaxis()->SetTitle("#sigma(#delta d_{0}) [cm]");
rh3->GetXaxis()->SetTitleSize(0.055);
rh3->GetXaxis()->SetTitleOffset(0.8);
rh3->GetXaxis()->SetTitle("p_{t}");
rh3->GetXaxis()->SetRangeUser(0,1000.);
sh3->GetXaxis()->SetRangeUser(0,1000.);
rh4->SetTitle("");
rh4->GetYaxis()->SetTitleSize(0.05);
rh4->GetYaxis()->SetTitleOffset(1.2);
rh4->GetYaxis()->SetTitle("#sigma(#delta z_{0}) [cm]");
rh4->GetXaxis()->SetTitleSize(0.055);
rh4->GetXaxis()->SetTitleOffset(0.8);
rh4->GetXaxis()->SetTitle("p_{t}");
rh4->GetXaxis()->SetRangeUser(0,1000.);
sh4->GetXaxis()->SetRangeUser(0,1000.);
rh5->SetTitle("");
rh5->GetYaxis()->SetTitleSize(0.05);
rh5->GetYaxis()->SetTitleOffset(1.2);
rh5->GetYaxis()->SetTitle("#sigma(#delta p_{t}/p_{t}) ");
rh5->GetXaxis()->SetTitleSize(0.055);
rh5->GetXaxis()->SetTitleOffset(0.8);
rh5->GetXaxis()->SetTitle("p_{t}");
rh5->GetXaxis()->SetRangeUser(0,1000.);
sh5->GetXaxis()->SetRangeUser(0,1000.);
rh6->GetXaxis()->SetRangeUser(0,1000.);
sh6->GetXaxis()->SetRangeUser(0,1000.);
canvas = new TCanvas("Tracks7b","Tracks: Dxy, Dz, Theta resolution",1000,1400);
plotResolutions(canvas,
sh1,rh1,sh2,rh2,
sh3,rh3,sh4,rh4,
sh5,rh5,sh6,rh6,
te,"UU",-1, true);
canvas->cd();
l = new TLegend(0.10,0.63,0.90,0.67);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("resolutionsPt.pdf");
delete l;
//===== building 2
rdir->GetObject(collname1+"/effic_vs_phi",rh1);
sdir->GetObject(collname2+"/effic_vs_phi",sh1);
rh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rh1->GetXaxis()->SetTitle("#phi");
rh1->GetYaxis()->SetTitle("efficiency vs #phi");
rh1->GetYaxis()->SetTitleSize(0.05);
rh1->GetYaxis()->SetTitleOffset(1.2);
rdir->GetObject(collname1+"/fakerate_vs_phi",rh2);
sdir->GetObject(collname2+"/fakerate_vs_phi",sh2);
rh2->GetXaxis()->SetTitle("#phi");
rh2->GetYaxis()->SetTitle("fakerate vs #phi");
rh2->GetYaxis()->SetRangeUser(0.,MAXFAKE);
sh2->GetYaxis()->SetRangeUser(0.,MAXFAKE);
rh2->GetYaxis()->SetTitleSize(0.05);
rh2->GetYaxis()->SetTitleOffset(1.2);
rdir->GetObject(collname1+"/effic_vs_dxy",rh3);
sdir->GetObject(collname2+"/effic_vs_dxy",sh3);
rh3->GetXaxis()->SetTitle("dxy");
rh3->GetYaxis()->SetTitle("efficiency vs dxy");
rh3->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh3->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rh3->GetYaxis()->SetTitleSize(0.05);
rh3->GetYaxis()->SetTitleOffset(1.2);
rh3->SetTitle("");
rdir->GetObject(collname1+"/fakerate_vs_dxy",rh4);
sdir->GetObject(collname2+"/fakerate_vs_dxy",sh4);
rh4->SetTitle("");
rh4->GetXaxis()->SetTitle("dxy");
rh4->GetYaxis()->SetTitle("fakerate vs dxy");
rh4->GetYaxis()->SetTitleSize(0.05);
rh4->GetYaxis()->SetTitleOffset(1.2);
rh4->GetYaxis()->SetRangeUser(0.,MAXFAKE);
sh4->GetYaxis()->SetRangeUser(0.,MAXFAKE);
rdir->GetObject(collname1+"/effic_vs_dz",rh5);
sdir->GetObject(collname2+"/effic_vs_dz",sh5);
rh5->GetXaxis()->SetTitle("dz");
rh5->GetYaxis()->SetTitle("efficiency vs dz");
rh5->GetYaxis()->SetTitleSize(0.05);
rh5->GetYaxis()->SetTitleOffset(1.2);
rh5->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh5->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rdir->GetObject(collname1+"/fakerate_vs_dz",rh6);
sdir->GetObject(collname2+"/fakerate_vs_dz",sh6);
rh6->GetYaxis()->SetRangeUser(0.,1.0);
rh6->GetYaxis()->SetRangeUser(0.,1.0);
rh6->GetXaxis()->SetTitle("dz");
rh6->GetYaxis()->SetTitle("fakerate vs dz");
rh6->GetYaxis()->SetTitleSize(0.05);
rh6->GetYaxis()->SetTitleOffset(1.2);
canvas = new TCanvas("Tracks8","Tracks: efficiency & fakerate",1000,1400);
TH1F * r[6]={rh1,rh2,rh3,rh4,rh5,rh6};
TH1F * s[6]={sh1,sh2,sh3,sh4,sh5,sh6};
plotBuilding(canvas,s, r,6,
te,"UU",-1);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("building2.pdf");
delete l;
//===== building 3
rdir->GetObject(collname1+"/effic_vs_vertpos",rh1);
sdir->GetObject(collname2+"/effic_vs_vertpos",sh1);
rh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh1->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rh1->GetXaxis()->SetTitle("TP vert xy pos");
rh1->GetYaxis()->SetTitle("efficiency vs vert xy pos");
rh1->GetYaxis()->SetTitleSize(0.05);
rh1->GetYaxis()->SetTitleOffset(1.2);
rdir->GetObject(collname1+"/effic_vs_zpos",rh2);
sdir->GetObject(collname2+"/effic_vs_zpos",sh2);
rh2->GetXaxis()->SetTitle("TP vert z pos");
rh2->GetYaxis()->SetTitle("efficiency vs vert z pos");
rh2->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
sh2->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
rh2->GetYaxis()->SetTitleSize(0.05);
rh2->GetYaxis()->SetTitleOffset(1.2);
rh2->SetTitle("");
canvas = new TCanvas("Tracks9","Tracks: efficiency & fakerate",1000,1400);
TH1F * r[2]={rh1,rh2};
TH1F * s[2]={sh1,sh2};
plotBuilding(canvas,s, r,2,
te,"UU",-1);
canvas->cd();
l = new TLegend(0.10,0.14,0.90,0.19);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(rh1,refLabel,"LPF");
l->AddEntry(sh1,newLabel,"LPF");
l->Draw();
canvas->Print("building3.pdf");
delete l;
//======== plots of eff, fake rates for various iterative tracking steps
//== we assume that the ref and new have the same histogram list! (and there are 6!)
// HERE
// TString refcollname=rl->At(0)->GetName();
// TString newcollname=sl->At(0)->GetName();
// num_col = rl->GetSize();
TH1F * r[6];
TH1F * s[6];
// // eff vs eta
// for(int i=0; i<num_col;i++){
// refcollname =rl->At(i)->GetName();
// newcollname =sl->At(i)->GetName();
// rdir->GetObject(refcollname+"/effic",r[i]);
// sdir->GetObject(newcollname+"/effic",s[i]);
// //r[i]->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
// //s[i]->GetYaxis()->SetRangeUser(MINEFF,MAXEFF);
// r[i]->GetYaxis()->SetRangeUser(0.,MAXEFF);
// s[i]->GetYaxis()->SetRangeUser(0.,MAXEFF);
// r[i]->GetXaxis()->SetTitle("#eta");
// r[i]->GetYaxis()->SetTitle("efficiency vs #eta");
// r[i]->GetYaxis()->SetTitleSize(0.05);
// r[i]->GetYaxis()->SetTitleOffset(1.2);
// r[i]->SetTitle(refcollname);
// if(i==2 || i==3) {
// //r[i]->SetTitleY(0.);
// //r[i]->SetTitle("");
// r[i]->SetTitleOffset(-1.,"HIST");
// }
// }
// fill with the histos we want for eff
fillStepHisto(rdir, sdir, rl, sl, r, s, "/effic", "#eta", "efficiency vs #eta", 0., MAXEFF);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks10","Tracks: efficiency for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_eff.pdf");
delete l;
// fill with the histos we want for fake rate
fillStepHisto(rdir, sdir, rl, sl, r, s, "/fakerate", "#eta", "fakerate vs #eta", 0., MAXFAKE);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks11","Tracks: fakerate for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_fakerate.pdf");
delete l;
// fill with the histos we want for eff vs pT
fillStepHisto(rdir, sdir, rl, sl, r, s, "/efficPt", "p_{t}", "efficiency vs p_{t}", 0., MAXEFF);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks12","Tracks: efficiency for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69, 1, false, 127);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_effpt.pdf");
delete l;
fillStepHisto(rdir, sdir, rl, sl, r, s, "/fakeratePt", "p_{t}", "fakerate vs p_{t}", 0., MAXFAKE);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks13","Tracks: fakerate for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69, 1, false, 127);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_fakeratePt.pdf");
delete l;
// fill with the histos we want for eff
fillStepHisto(rdir, sdir, rl, sl, r, s, "/effic_vs_hit", "hits", "efficiency vs hits", 0., MAXEFF);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks14","Tracks: efficiency for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_effhits.pdf");
delete l;
// fill with the histos we want for fake rate
fillStepHisto(rdir, sdir, rl, sl, r, s, "/fakerate_vs_hit", "hits", "fakerate vs hits", 0., MAXFAKE);
// rearrange to a more natural order for plotting
TH1F * rr[6]={r[5],r[2],r[0],r[3],r[4],r[1]};
TH1F * ss[6]={s[5],s[2],s[0],s[3],s[4],s[1]};
canvas = new TCanvas("Tracks15","Tracks: fakerate for each step",1000,1400);
plotBuilding(canvas,ss, rr,6,
te,"UU",-69);
canvas->cd();
l = new TLegend(0.10,0.64,0.90,0.69);
l->SetTextSize(0.016);
l->SetLineColor(1);
l->SetLineWidth(1);
l->SetLineStyle(1);
l->SetFillColor(0);
l->SetBorderSize(3);
l->AddEntry(r[0],refLabel,"LPF");
l->AddEntry(s[0],newLabel,"LPF");
l->Draw();
canvas->Print("steps_fakeratehits.pdf");
delete l;
}
}
