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HeavyFlavourZCandleStudies.C
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HeavyFlavourZCandleStudies.C
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#include "setTDRStyle.h"
#include <sstream>
#include <fstream>
#include "TTree.h"
#include "TFile.h"
#include "TH1D.h"
#include <vector>
#include "Rtypes.h"
#include "TColor.h"
#include "TVectorF.h"
#include <cstdlib>
#include "configuration.h"
#include <string>
#include <unistd.h>
void setTDRStyle();
std::vector<unsigned int> getColors();
std::vector<unsigned int> getStyles();
TH1F *rescaleXaxis(TH1F *inputhisto, float xmin, float xmax);
void rescaleXaxis(TGraphAsymmErrors *inputhisto, double xmin, double scale);
TH1F *getDataMCratio(TGraphAsymmErrors *indata, TH1F *inMC);
void makeDataMCPlotFromCombine(TString path2file, TString era, TString category, TString category_extra, TString wpmin, TString wpmax, TString name, TString passOrFail,
float xmin, float xmax, int nbins,TString xaxisname, bool log, TString sample);
TH1D *h1DHistoFrom2DTemplates(TString path2file,TString h2dname,TString name,double ymin, double ymax,int color,bool isdata);
TCanvas *makeCanvasWithRatio(TH1D* hdata, std::vector<TH1D*> h1d, TString dir, TString name, TString xname, TString yname, TLegend *leg);
void makeDataMCFrom2DTemplatesTop(TString path2file, TString nameoutfile, TString name, TString sample, double ymin, double ymax);
void HeavyFlavourZCandleStudies(TString era, TString sample, TString category, TString wpmin, TString wpmax, bool postfit=false, TString passOrFail="pass", TString category_extra="")
{
conf::configuration(sample);
std::vector<TString> name = conf::name;
std::vector<double> ptmin = conf::ptmin;
std::vector<double> ptmax = conf::ptmax;
if (postfit)
{
if (sample == "tt1l")
{
std::cout << "postfit: " << sample << " " << category << " " << wpmin << "to" << wpmax << " " << passOrFail << "\n";
for (int i0=0; i0<name.size(); ++i0)
{
makeDataMCPlotFromCombine(conf::algo,era,category,category_extra,wpmin,wpmax,name[i0],passOrFail,conf::minX,conf::maxX,conf::binsX,"m_{SD} [GeV]",false,sample);
}
}
}
if (!postfit)
{
if (sample == "tt1l")
{
std::cout << sample << "\n";
for (int i0=0; i0<name.size(); ++i0)
{
std::cout << sample<< "\n";
makeDataMCFrom2DTemplatesTop("templates2D/"+conf::algo+"_"+sample+"_"+category+"_"+wpmin+"to"+wpmax+"_"+era+"_200to1200_templates.root",
conf::algo+"_"+sample+"_"+category+"_"+wpmin+"to"+wpmax+"_"+era,name[i0],category,ptmin[i0],ptmax[i0]);
}
}
}
}
void makeDataMCFrom2DTemplatesTop(TString path2file, TString nameoutfile, TString name, TString sample, double ymin, double ymax) {
TH1::SetDefaultSumw2(kTRUE);
setTDRStyle();
gROOT->SetBatch(true);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetPalette(1);
conf::configuration(path2file);
// prepare directories
TString dirname1;
if (path2file.Contains("particlenetmd")) { dirname1 = "particlenetmd_sf"; }
else if (path2file.Contains("particlenet")) { dirname1 = "particlenet_sf"; }
const int dir_err = system("mkdir -p ./"+dirname1);
if (-1 == dir_err) { printf("Error creating directory!n"); exit(1); }
nameoutfile = nameoutfile+"_"+name;
// Data templates
TH1D *h_data_p = h1DHistoFrom2DTemplates(path2file,"data_obs_pass",name,ymin,ymax,1,true);
TH1D *h_data_f = h1DHistoFrom2DTemplates(path2file,"data_obs_fail",name,ymin,ymax,1,true);
// MC templates
std::vector<TString> syst = conf::syst;
std::vector<TString> processes_in = conf::processes_in;
std::vector<TString> processes_out;
processes_out.push_back("tp3"); processes_out.push_back("tp2"); processes_out.push_back("tp1"); processes_out.push_back("other");
std::vector<int> colors = {conf::tp3.color,conf::tp2.color,conf::tp1.color,conf::other.color};
std::vector<TString> legends = {conf::tp3.legend_name,conf::tp2.legend_name,conf::tp1.legend_name,conf::other.legend_name};
std::vector<TH1D*> hist_out_p; hist_out_p.clear();
std::vector<TH1D*> hist_out_f; hist_out_f.clear();
std::vector<TH1D*> hist_out_nom_p; hist_out_nom_p.clear();
std::vector<TH1D*> hist_out_nom_f; hist_out_nom_f.clear();
std::vector<TString> category;
category.push_back("pass");
category.push_back("fail");
for (unsigned int ic=0; ic<category.size(); ++ic)
{
TString catstr_; if (category[ic] == "pass") { catstr_ = "pass"; } else { catstr_ = "fail"; }
for (unsigned int is=0; is<syst.size(); ++is)
{
int count = 0;
for (unsigned int ip=0; ip<processes_in.size(); ip+=1)
{
if (syst[is]=="_")
{
std::cout << processes_in[ip] << " " << ip << "\n";
TH1D *h_;
if (ip>8)
{
h_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+catstr_,name,ymin,ymax,1,false);
TH1D *h__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+catstr_,name,ymin,ymax,1,false);
h_->Add(h__);
}
else if(ip<=8)
{
h_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+catstr_,name,ymin,ymax,1,false);
TH1D *h__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+catstr_,name,ymin,ymax,1,false);
TH1D *h___ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+2]+"_"+syst[is]+catstr_,name,ymin,ymax,1,false);
h_->Add(h__); h_->Add(h___);
}
h_->SetName(processes_out[count]); h_->SetLineColor(colors[count]); h_->SetFillColor(colors[count]);
if (category[ic] == "pass") { hist_out_p.push_back(h_); hist_out_nom_p.push_back(h_); }
else { hist_out_f.push_back(h_); hist_out_nom_f.push_back(h_); }
}
else
{
TString nameSyst = syst[is];
if ( (syst[is].Contains("jms")) || (syst[is].Contains("jmr")) )
{
nameSyst = processes_out[count]+syst[is];
}
if (ip>8)
{
TH1D *h_up_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+"Up_"+catstr_,name,ymin,ymax,1,false);
TH1D *h_up__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+"Up_"+catstr_,name,ymin,ymax,1,false);
h_up_->Add(h_up__);
h_up_->SetName(processes_out[count]+"_"+nameSyst+"Up"); h_up_->SetLineColor(colors[count]); h_up_->SetFillColor(colors[count]);
if (category[ic] == "pass") { hist_out_p.push_back(h_up_); } else { hist_out_f.push_back(h_up_); }
TH1D *h_down_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+"Down_"+catstr_,name,ymin,ymax,1,false);
TH1D *h_down__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+"Down_"+catstr_,name,ymin,ymax,1,false);
h_down_->Add(h_down__);
h_down_->SetName(processes_out[count]+"_"+nameSyst+"Down"); h_down_->SetLineColor(colors[count]); h_down_->SetFillColor(colors[count]);
if (category[ic] == "pass") { hist_out_p.push_back(h_down_); } else { hist_out_f.push_back(h_down_); }
}
else if (ip<=8)
{
TH1D *h_up_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+"Up_"+catstr_,name,ymin,ymax,1,false);
TH1D *h_up__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+"Up_"+catstr_,name,ymin,ymax,1,false);
h_up_->Add(h_up__);
TH1D *h_up___ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+2]+"_"+syst[is]+"Up_"+catstr_,name,ymin,ymax,1,false);
h_up_->Add(h_up___);
h_up_->SetName(processes_out[count]+"_"+nameSyst+"Up"); h_up_->SetLineColor(colors[count]); h_up_->SetFillColor(colors[count]);
if (category[ic] == "pass") { hist_out_p.push_back(h_up_); } else { hist_out_f.push_back(h_up_); }
TH1D *h_down_ = h1DHistoFrom2DTemplates(path2file,processes_in[ip]+"_"+syst[is]+"Down_"+catstr_,name,ymin,ymax,1,false);
TH1D *h_down__ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+1]+"_"+syst[is]+"Down_"+catstr_,name,ymin,ymax,1,false);
h_down_->Add(h_down__);
TH1D *h_down___ = h1DHistoFrom2DTemplates(path2file,processes_in[ip+2]+"_"+syst[is]+"Down_"+catstr_,name,ymin,ymax,1,false);
h_down_->Add(h_down___);
h_down_->SetName(processes_out[count]+"_"+nameSyst+"Down"); h_down_->SetLineColor(colors[count]); h_down_->SetFillColor(colors[count]);
if (category[ic] == "pass") { hist_out_p.push_back(h_down_); } else { hist_out_f.push_back(h_down_); }
}
}
ip = ip+2;
++count;
}
} // end of looping over the syst
} // end of category loop
TLegend* leg = new TLegend(0.33,0.62,0.92,0.90);
leg->SetNColumns(2);
leg->SetFillStyle(0);
leg->SetFillColor(0);
leg->SetLineWidth(0);
leg->AddEntry(h_data_p,"Data","PL");
for (unsigned int i0=0; i0<hist_out_nom_p.size(); ++i0) { leg->AddEntry(hist_out_nom_p[i0],legends[i0],"F"); }
TCanvas *c_pass = makeCanvasWithRatio(h_data_p,hist_out_nom_p,"fit_"+sample+"_templates",name+"_pass","m_{SD} [GeV]","Enetries / bin",leg);
c_pass->Print(dirname1+"/"+nameoutfile+"_pass.pdf");
TCanvas *c_fail = makeCanvasWithRatio(h_data_f,hist_out_nom_f,"fit_"+sample+"_templates",name+"_fail","m_{SD} [GeV]","Enetries / bin",leg);
c_fail->Print(dirname1+"/"+nameoutfile+"_fail.pdf");
TFile *fout_p = new TFile("./"+dirname1+"/"+nameoutfile+"_templates_p.root","RECREATE");
h_data_p->Write("data_obs");
for (unsigned int i0=0; i0<hist_out_p.size(); ++i0)
{
hist_out_p[i0]->Write(hist_out_p[i0]->GetName()); std::cout << hist_out_p[i0]->GetName() << "\n";
}
fout_p->Close();
TFile *fout_f = new TFile("./"+dirname1+"/"+nameoutfile+"_templates_f.root","RECREATE");
h_data_f->Write("data_obs");
for (unsigned int i0=0; i0<hist_out_f.size(); ++i0)
{
hist_out_f[i0]->Write(hist_out_f[i0]->GetName());
}
fout_f->Close();
hist_out_p.clear(); hist_out_nom_p.clear();
hist_out_f.clear(); hist_out_nom_f.clear();
}
TCanvas *makeCanvasWithRatio(TH1D* hdata, std::vector<TH1D*> h1d, TString dir, TString name, TString xname, TString yname, TLegend *leg) {
TH1::SetDefaultSumw2(kTRUE);
setTDRStyle();
gROOT->SetBatch(true);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetPalette(1);
THStack *hs = new THStack("hs_"+name,"hs_"+name);
std::vector<TH1D*> histos; histos.clear();
for (int i0=0; i0<h1d.size(); ++i0)
{
TString count = std::to_string(i0);
hs->Add(h1d[i0]);
TH1D* h_ = (TH1D*)h1d[i0]->Clone("h_"+count); h_->SetFillColor(0); h_->SetLineStyle(2);
histos.push_back(h_);
}
TH1D *h_sm = (TH1D*)h1d[0]->Clone("h_sm");
h_sm->Reset("ICES");
TCanvas *c_ = new TCanvas("c_"+name,"c_"+name,600,600); c_->SetName("c_"+name);
TPad *pMain = new TPad("pMain_"+name,"pMain+"+name,0.0,0.35,1.0,1.0);
pMain->SetRightMargin(0.05);
pMain->SetLeftMargin(0.17);
pMain->SetBottomMargin(0.03);
pMain->SetTopMargin(0.05);
TPad *pRatio = new TPad("pRatio_"+name,"pRatio_"+name,0.0,0.03,1.0,0.37);
pRatio->SetRightMargin(0.05);
pRatio->SetLeftMargin(0.17);
pRatio->SetTopMargin(0.);
pRatio->SetBottomMargin(0.39);
pMain->Draw();
pRatio->Draw();
pMain->cd();
hdata->GetXaxis()->SetTitle(xname);
hdata->GetYaxis()->SetTitle(yname);
if (name.Contains("pass")) { hdata->GetYaxis()->SetRangeUser(0.,1.8*hdata->GetMaximum()); }
else { hdata->GetYaxis()->SetRangeUser(0.,1.8*hdata->GetMaximum()); }
hdata->Draw("P E0");
for (int i0=0; i0<h1d.size(); ++i0) { h1d[i0]->Draw("HIST E0 sames"); h_sm->Add(h1d[i0]); }
// data mc ratio
TH1F *h_r = (TH1F*)hdata->Clone("h_"+name+"_r"); h_r->Divide(hdata,h_sm);
// continue drawing
hs->Draw("HIST E0 sames");
hdata->Draw("P E0 sames");
leg->Draw("sames");
c_->RedrawAxis();
pMain->RedrawAxis();
pRatio->cd();
h_r->GetYaxis()->SetTitleOffset(0.9);
h_r->GetYaxis()->SetTitleSize(0.1);
h_r->GetYaxis()->SetLabelSize(0.08);
h_r->GetXaxis()->SetTitleSize(0.2);
h_r->GetXaxis()->SetLabelSize(0.12);
h_r->GetXaxis()->SetTitle(xname);
h_r->GetYaxis()->SetTitle("Data / MC");
h_r->GetYaxis()->SetRangeUser(0.31,1.69);
h_r->Draw("P E0");
TAxis* xaxis = h_r->GetXaxis(); // get the X-axis object
Double_t xmin = xaxis->GetXmin(); // get the X-axis minimum
Double_t xmax = xaxis->GetXmax();
TLine* line = new TLine(xmin,1,xmax,1);
line->SetLineColor(kRed);
line->SetLineWidth(2);
line->Draw("same");
return c_;
}
TH1D *h1DHistoFrom2DTemplates(TString path2file,TString h2dname, TString name, double ymin, double ymax,int color,bool isdata) {
TH1::SetDefaultSumw2(kTRUE);
setTDRStyle();
gROOT->SetBatch(false);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetPalette(1);
TFile *f2d = TFile::Open(path2file,"READONLY");
TH2D *h2d = (TH2D*)f2d->Get(h2dname); h2d->SetDirectory(0);
TH1D *h1d = h2d->ProjectionX("h1d_"+h2dname,h2d->GetYaxis()->FindBin(ymin),h2d->GetYaxis()->FindBin(ymax),"e"); h1d->SetDirectory(0);
h1d->SetName(h2dname+"_"+name);
h1d->SetLineColor(color);
if (isdata)
{
h1d->SetFillColor(0);
h1d->SetMarkerStyle(20); h1d->SetMarkerSize(1.2);
h1d->SetLineWidth(3); h1d->SetLineColor(color);
}
else
{
h1d->SetFillColor(color);
h1d->SetMarkerStyle(20); h1d->SetMarkerSize(0.);
h1d->SetLineWidth(3); h1d->SetLineColor(color);
}
f2d->Close();
return h1d;
}
void makeDataMCPlotFromCombine(TString path2file, TString era, TString category, TString category_extra, TString wpmin, TString wpmax, TString name, TString passOrFail,
float xmin, float xmax, int nbins,TString xaxisname, bool log, TString sample ="") {
std::cout << " In makeDataMCPlotFromCombine\n";
setTDRStyle();
gROOT->SetBatch(true);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetPalette(1);
TH1::SetDefaultSumw2(kTRUE);
conf::configuration(sample);
if (xaxisname == "mass") { xaxisname = "m_{SD} [GeV]"; }
const int dir_err = system("mkdir -p ./"+(TString)path2file+"_sf/plots_postfit");
if (-1 == dir_err) { printf("Error creating directory!n"); exit(1); }
TString fdiag_ = "./"+path2file+"_sf/fitdir/fitdiagnostics_"+path2file+"_"+sample+"_"+category+"_"+wpmin+"to"+wpmax+"_"+era+"_"+name+".root";
std::cout << " Opening fitdiagnostics: " << fdiag_ << "\n";
TFile *fdiag = TFile::Open(fdiag_, "READONLY" );
std::vector<TString> processes; processes.clear();
std::vector<int> colors; colors.clear();
std::vector<TString> legends; legends.clear();
if (sample == "tt1l")
{
std::cout << " sample = " << sample << " , category = " << category << "\n";
processes.push_back("tp3"); processes.push_back("tp2"); processes.push_back("tp1"); processes.push_back("other"); processes.push_back("total");
colors.push_back(conf::tp3.color); colors.push_back(conf::tp2.color); colors.push_back(conf::tp1.color); colors.push_back(conf::other.color); colors.push_back(8);
legends.push_back(conf::tp3.legend_name); legends.push_back(conf::tp2.legend_name); legends.push_back(conf::tp1.legend_name); legends.push_back(conf::other.legend_name); legends.push_back("Total SM");
}
TString extra_ = "/";
// get prefit histograms
TString prefitstr = "shapes_prefit";
TTree *tree = (TTree*)fdiag->Get("tree_fit_sb");
TH1F *h_fit_status = new TH1F("h_fit_status_","h_fit_status_",20,-10.,10.);
tree->Project("h_fit_status_","fit_status");
TString postfitstr = "shapes_fit_s"; if (h_fit_status->GetMean()<0.) { postfitstr = "shapes_prefit"; }
std::vector<TH1F*> h_prefit; h_prefit.clear();
std::vector<TH1F*> h_postfit; h_postfit.clear();
for (unsigned int i0=0; i0<processes.size(); ++i0)
{
std::cout << prefitstr+extra_+passOrFail+"/"+processes[i0] << "\n";
// get prefit histos
TH1F *h_prefit_ = (TH1F*)fdiag->Get(prefitstr+extra_+passOrFail+"/"+processes[i0]); h_prefit_->SetName("h_pre_"+name+"_"+processes[i0]+"_"+passOrFail+"_");
TH1F *h_prefit__ = rescaleXaxis(h_prefit_,conf::minX,conf::maxX); h_prefit_->SetName("h_pre_"+name+"_"+processes[i0]+"_"+passOrFail);
h_prefit__->SetLineColor(colors[i0]); h_prefit__->SetLineStyle(2); h_prefit__->SetLineWidth(3); h_prefit__->SetMarkerSize(0);
h_prefit.push_back(h_prefit__);
// get postfit histograms
TH1F *h_postfit_ = (TH1F*)fdiag->Get(postfitstr+extra_+passOrFail+"/"+processes[i0]); h_postfit_->SetName("h_post_"+name+"_"+processes[i0]+"_"+passOrFail+"_");
TH1F *h_postfit__ = rescaleXaxis(h_postfit_,conf::minX,conf::maxX); h_postfit_->SetName("h_post_"+name+"_"+processes[i0]+"_"+passOrFail);
h_postfit__->SetLineColor(colors[i0]); h_postfit__->SetLineStyle(1); h_postfit__->SetLineWidth(3); h_postfit__->SetMarkerSize(0);
h_postfit.push_back(h_postfit__);
}
// get data
TGraphAsymmErrors *h_data = (TGraphAsymmErrors*)fdiag->Get("shapes_prefit"+extra_+passOrFail+"/data"); h_data->SetName("h_data_"+name+"_"+passOrFail);
rescaleXaxis(h_data, conf::minX, (conf::maxX-conf::minX)/(float)conf::binsX);
h_data->SetLineColor(1); h_data->SetLineWidth(3);
h_data->SetMarkerColor(1); h_data->SetMarkerStyle(20); h_data->SetMarkerSize(1.2);
int numOfMC = h_prefit.size();
TH1F *h_r_prefit = getDataMCratio(h_data,h_prefit[numOfMC-1]); h_r_prefit->SetName("h_r_prefit_"+name+"_"+passOrFail);
h_r_prefit->SetMarkerSize(0); h_r_prefit->SetLineColor(42); h_r_prefit->SetLineStyle(2);
TH1F *h_r_postfit = getDataMCratio(h_data,h_postfit[numOfMC-1]); h_r_postfit->SetName("h_r_postfit_"+name+"_"+passOrFail);
h_r_postfit->SetMarkerColor(1); h_r_postfit->SetLineColor(1);
TLegend* leg = new TLegend(0.50,0.62,0.94,0.90);
leg->SetNColumns(2);
leg->SetFillStyle(0);
leg->SetFillColor(0);
leg->SetLineWidth(0);
for (unsigned int i0=0; i0<h_prefit.size(); ++i0) { leg->AddEntry(h_postfit[i0],legends[i0],"L"); }
TPaveText *pt_cms = new TPaveText(0.11,0.77,0.4,0.9,"NDC");
pt_cms->SetFillStyle(0);
pt_cms->SetFillColor(0);
pt_cms->SetLineWidth(0);
pt_cms->AddText("CMS");
pt_cms->SetTextSize(0.08);
TPaveText *pt_preliminary = new TPaveText(0.2,0.63,0.4,0.9,"NDC");
pt_preliminary->SetFillStyle(0);
pt_preliminary->SetFillColor(0);
pt_preliminary->SetLineWidth(0);
pt_preliminary->AddText("Preliminary");
pt_preliminary->SetTextFont(52);
pt_preliminary->SetTextSize(0.06);
TLatex pt_lumi;
const char *longstring;
if (path2file.Contains("2016")) { longstring = "19.52 fb^{-1} (13 TeV)"; }
if (path2file.Contains("2017")) { longstring = "41.53 fb^{-1} (13 TeV)"; }
if (path2file.Contains("2018")) { longstring = "59.74 fb^{-1} (13 TeV)"; }
if (path2file.Contains("2022")) { longstring = "7.98 fb^{-1} (13 TeV)"; }
pt_lumi.SetTextSize(0.07);
pt_lumi.SetTextFont(42);
TString logstr = "lin"; if (log) { logstr = "log"; }
TCanvas *c = new TCanvas("c_"+name+"_"+category,"c_"+name+"_"+category,600,600);
c->SetName("c_"+name+"_"+category);
TPad *pMain = new TPad("pMain_"+name,"pMain+"+name,0.0,0.35,1.0,1.0);
pMain->SetRightMargin(0.05);
pMain->SetLeftMargin(0.17);
pMain->SetBottomMargin(0.03);
pMain->SetTopMargin(0.05);
TPad *pRatio = new TPad("pRatio_"+name,"pRatio_"+name,0.0,0.03,1.0,0.37);
pRatio->SetRightMargin(0.05);
pRatio->SetLeftMargin(0.17);
pRatio->SetTopMargin(0.);
pRatio->SetBottomMargin(0.39);
pMain->Draw();
pRatio->Draw();
pMain->cd();
float maxyld = h_postfit[numOfMC-1]->GetMaximum();
if (h_prefit[numOfMC-1]->GetMaximum()>h_postfit[numOfMC-1]->GetMaximum()) { maxyld = h_prefit[numOfMC-1]->GetMaximum(); }
if (log) { gPad->SetLogy(); h_prefit[numOfMC-1]->GetYaxis()->SetRangeUser(0.1,10.*maxyld); } else { h_prefit[numOfMC-1]->GetYaxis()->SetRangeUser(0.,1.8*maxyld); }
h_prefit[numOfMC-1]->GetXaxis()->SetLabelSize(0.);
h_prefit[numOfMC-1]->GetYaxis()->SetTitle("Events / bin");
h_prefit[numOfMC-1]->GetXaxis()->SetTitle(xaxisname);
h_prefit[numOfMC-1]->Draw("HIST E0");
for (unsigned int i0=0; i0<h_prefit.size(); ++i0) { h_prefit[i0]->Draw("HIST E0 sames"); }
for (unsigned int i0=0; i0<h_postfit.size(); ++i0) { h_postfit[i0]->Draw("HIST E0 sames"); }
h_data->Draw("P sames");
leg->Draw("sames");
pt_cms->Draw("sames");
pt_preliminary->Draw("sames");
std::cout << " i m here 12-d\n";
std::cout << " i m here 12-e\n";
c->RedrawAxis();
pRatio->cd();
h_r_postfit->GetYaxis()->SetTitleOffset(0.9);
h_r_postfit->GetYaxis()->SetTitleSize(0.1);
h_r_postfit->GetYaxis()->SetLabelSize(0.08);
h_r_postfit->GetXaxis()->SetTitleSize(0.2);
h_r_postfit->GetXaxis()->SetLabelSize(0.12);
h_r_postfit->GetXaxis()->SetTitle(xaxisname);
h_r_postfit->GetYaxis()->SetTitle("Data / Post-fit");
h_r_postfit->GetYaxis()->SetRangeUser(0.39,1.61);
h_r_postfit->Draw("P E0");
h_r_prefit->Draw("HIST sames");
TLine* line = new TLine(xmin,1,xmax,1);
line->SetLineColor(kRed);
line->SetLineWidth(2);
line->Draw("same");
c->RedrawAxis();
if (log)
{
c->Print(path2file+"_sf/plots_datamc/"+path2file+"_"+sample+"_"+era+"_"+name+"_"+category+"_"+wpmin+"to"+wpmax+"_"+passOrFail+"_log.pdf");
c->Print(path2file+"_sf/plots_datamc/"+path2file+"_"+sample+"_"+era+"_"+name+"_"+category+"_"+wpmin+"to"+wpmax+"_"+passOrFail+"_log.png");
}
else
{
c->Print(path2file+"_sf/plots_postfit/"+path2file+"_"+sample+"_"+era+"_"+name+"_"+category+"_"+wpmin+"to"+wpmax+"_"+passOrFail+"_lin.pdf");
c->Print(path2file+"_sf/plots_postfit/"+path2file+"_"+sample+"_"+era+"_"+name+"_"+category+"_"+wpmin+"to"+wpmax+"_"+passOrFail+"_lin.png");
}
} // end of makeDataMCPlotsFromCombine
TH1F *rescaleXaxis(TH1F *inputhisto, float xmin, float xmax) {
TH1::SetDefaultSumw2(kTRUE);
int nbins = inputhisto->GetNbinsX();
TString name = inputhisto->GetName();
TH1F *outputhisto = new TH1F(name,name,nbins,xmin,xmax);
for (unsigned int i0=0; i0<nbins; ++i0) {
outputhisto->SetBinContent(i0+1,inputhisto->GetBinContent(i0+1));
outputhisto->SetBinError(i0+1,inputhisto->GetBinError(i0+1));
}
return outputhisto;
}// end of rescaleXaxis
void rescaleXaxis(TGraphAsymmErrors *g, double xmin, double scaleX) {
TH1::SetDefaultSumw2(kTRUE);
int N=g->GetN();
double *x=g->GetX();
double *xerrh=g->GetEXhigh();
double *xerrl=g->GetEXlow();
int i=0; while(i<N) {
x[i]=xmin+x[i]*scaleX;
xerrh[i]=0.;
xerrl[i]=0.;
i=i+1;
}
g->GetHistogram()->Delete();
g->SetHistogram(0);
}
std::vector<unsigned int> getColors() {
std::vector<unsigned int> colors_; colors_.clear();
colors_.push_back(92);
colors_.push_back(4);
colors_.push_back(6);
colors_.push_back(182);
colors_.push_back(8);
colors_.push_back(2);
return colors_;
}
std::vector<unsigned int> getStyles() {
std::vector<unsigned int> styles_; styles_.clear();
styles_.push_back(20);
styles_.push_back(21);
styles_.push_back(34);
styles_.push_back(47);
styles_.push_back(23);
return styles_;
}
TH1F *getDataMCratio(TGraphAsymmErrors *indata, TH1F *inMC) {
TH1::SetDefaultSumw2(kTRUE);
TH1F *h_data = (TH1F*)inMC->Clone("h_data"); h_data->SetName("h_data");
for (unsigned int i0=0; i0<inMC->GetNbinsX(); ++i0)
{
h_data->SetBinContent(i0+1, indata->GetY()[i0]);
h_data->SetBinError(i0+1, (indata->GetEYlow()[i0]+indata->GetEYhigh()[i0])/2.);
}
TH1F *h_ratio = (TH1F*)h_data->Clone("h_ratio");
h_ratio->Divide(h_data,inMC);
h_ratio->SetMarkerStyle(20); h_ratio->SetMarkerSize(1);
h_ratio->SetLineWidth(2); h_ratio->SetLineStyle(1);
return h_ratio;
}