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makePlots.C
400 lines (339 loc) · 16.7 KB
/
makePlots.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 <iomanip>
#include <sstream>
#include <string>
#include "RooFitResult.h"
#include "RooArgSet.h"
#include "RooArgList.h"
#include "RooRealVar.h"
using namespace RooFit ;
TH1F *rescaleXaxis(TH1F *inputhisto, float xmin, float xmax);
void rescaleXaxis(TGraphAsymmErrors *inputhisto, double xmin, double scale);
TH1F *getDataMCratio(TGraphAsymmErrors *indata, TH1F *inMC);
void setTDRStyle();
void makeDataMCPlotsFromCombine(TString path2file, TString filename, TString score, TString ptrange,TString whichbit, TString category,
float scaleval, float scaledat,
float smearval, float smeardat,
float xmin, float xmax, int nbins,TString xaxisname, bool log);
void getSF(RooFitResult* r, const char *strPar, double &par, double &parerr);
void makePlots(TString path2file, TString filename, TString score, TString ptrange,TString whichbit,
float scaleval, float scaledat,
float smearval, float smeardat,
float xmin, float xmax, int nbins, TString xaxis) {
TH1::SetDefaultSumw2(kTRUE);
setTDRStyle();
gROOT->SetBatch(false);
gStyle->SetOptStat(0);
gStyle->SetOptFit(1);
gStyle->SetPalette(1);
gStyle->SetOptTitle(0);
TH1::SetDefaultSumw2(kTRUE);
// make pre/post fit plots
makeDataMCPlotsFromCombine(path2file,filename,score,ptrange,whichbit,"pass",
scaleval,scaledat,smearval,smeardat,
xmin,xmax,nbins,xaxis,false);
makeDataMCPlotsFromCombine(path2file,filename,score,ptrange,whichbit,"fail",
scaleval,scaledat,smearval,smeardat,
xmin,xmax,nbins,xaxis,false);
}
void makeDataMCPlotsFromCombine(TString path2file, TString filename, TString score, TString ptrange, TString whichbit, TString category,
float scaleval, float scaledat,
float smearval, float smeardat,
float xmin, float xmax, int nbins,TString xaxisname, bool log) {
setTDRStyle();
gROOT->SetBatch(true);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetPalette(1);
TH1::SetDefaultSumw2(kTRUE);
if (xaxisname == "mass") { xaxisname = "m(jet) [GeV]"; }
const int dir_err = system("mkdir -p ./"+(TString)path2file+"/plots_datamc");
if (-1 == dir_err) { printf("Error creating directory!n"); exit(1); }
TFile *fshapes = TFile::Open("./"+path2file+"/"+filename+"_"+category+".root", "READONLY" );
TH1F *h_central = (TH1F*)fshapes->Get("catp2"); h_central->SetName("central"); h_central->SetDirectory(0);
float maxy;
if(smeardat >0){
TH1F *h_smearUp = (TH1F*)fshapes->Get("catp2_smearUp"); h_smearUp->SetName("smearUp"); h_smearUp->SetDirectory(0);
TH1F *h_smearDown = (TH1F*)fshapes->Get("catp2_smearDown"); h_smearDown->SetName("smearDown"); h_smearDown->SetDirectory(0);
TCanvas *c1 = new TCanvas("c","c",600,600);
maxy = h_central->GetMaximum();
if ( h_smearUp->GetMaximum()>h_central->GetMaximum()) { maxy = h_smearUp->GetMaximum(); }
h_central->GetYaxis()->SetRangeUser(0.,1.8*maxy);
h_central->SetLineWidth(3); h_central->SetLineColor(1); h_central->Draw("HIST");
h_smearUp->SetLineWidth(3); h_smearUp->SetLineColor(2); h_smearUp->Draw("HIST sames");
h_smearDown->SetLineWidth(3); h_smearDown->SetLineColor(3); h_smearDown->Draw("HIST sames");
c1->SaveAs(path2file+"/plots_datamc/smear_"+category+".pdf");
c1->Print(path2file+"/plots_datamc/smear_"+category+".pdf");
c1->RedrawAxis();
}
if(scaledat >0){
TH1F *h_scaleUp = (TH1F*)fshapes->Get("catp2_scaleUp"); h_scaleUp->SetName("scaleUp"); h_scaleUp->SetDirectory(0);
TH1F *h_scaleDown = (TH1F*)fshapes->Get("catp2_scaleDown"); h_scaleDown->SetName("scaleDown"); h_scaleDown->SetDirectory(0);
TCanvas *c2 = new TCanvas("c2","c2",600,600);
maxy = h_central->GetMaximum();
if ( h_scaleUp->GetMaximum()>h_central->GetMaximum()) { maxy = h_scaleUp->GetMaximum(); }
h_central->GetYaxis()->SetRangeUser(0.,1.8*maxy);
h_central->SetLineWidth(3); h_central->SetLineColor(1); h_central->Draw("HIST");
h_scaleUp->SetLineWidth(3); h_scaleUp->SetLineColor(2); h_scaleUp->Draw("HIST sames");
h_scaleDown->SetLineWidth(3); h_scaleDown->SetLineColor(3); h_scaleDown->Draw("HIST sames");
std::cout << " central " << h_central->Integral() << " scaleup " << h_scaleUp->Integral() << " scaledn " << h_scaleDown->Integral() << std::endl;
c2->SaveAs(path2file+"/plots_datamc/scale_"+category+".pdf");
c2->Print(path2file+"/plots_datamc/scale_"+category+".pdf");
c2->RedrawAxis();
}
fshapes->Close();
TFile *fdiag = TFile::Open("./"+path2file+"/sf_fitDiagnostics_"+filename+".root", "READONLY" );
// get prefit histograms
TString prefitstr = "shapes_prefit";
TH1F *h_prefit_catp2_ = (TH1F*)fdiag->Get(prefitstr+"/"+category+"/catp2"); h_prefit_catp2_->SetName("h_catp2_");
TH1F *h_prefit_catp1_ = (TH1F*)fdiag->Get(prefitstr+"/"+category+"/catp1"); h_prefit_catp1_->SetName("h_catp1_");
TH1F *h_prefit_total_ = (TH1F*)fdiag->Get(prefitstr+"/"+category+"/total"); h_prefit_total_->SetName("h_total_");
TH1F *h_prefit_catp2 = rescaleXaxis(h_prefit_catp2_,xmin,xmax); h_prefit_catp2->SetName("h_catp2");
TH1F *h_prefit_catp1 = rescaleXaxis(h_prefit_catp1_,xmin,xmax); h_prefit_catp1->SetName("h_catp1");
TH1F *h_prefit_total = rescaleXaxis(h_prefit_total_,xmin,xmax); h_prefit_total->SetName("h_total");
// get postfit histograms
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"; }
TH1F *h_postfit_catp2_ = (TH1F*)fdiag->Get(postfitstr+"/"+category+"/catp2"); h_postfit_catp2_->SetName("h_catp2_");
TH1F *h_postfit_catp1_ = (TH1F*)fdiag->Get(postfitstr+"/"+category+"/catp1"); h_postfit_catp1_->SetName("h_catp1_");
TH1F *h_postfit_total_ = (TH1F*)fdiag->Get(postfitstr+"/"+category+"/total"); h_postfit_total_->SetName("h_total_");
TH1F *h_postfit_catp2 = rescaleXaxis(h_postfit_catp2_,xmin,xmax); h_postfit_catp2->SetName("h_catp2");
TH1F *h_postfit_catp1 = rescaleXaxis(h_postfit_catp1_,xmin,xmax); h_postfit_catp1->SetName("h_catp1");
TH1F *h_postfit_total = rescaleXaxis(h_postfit_total_,xmin,xmax); h_postfit_total->SetName("h_total");
// get data
TGraphAsymmErrors *h_data = (TGraphAsymmErrors*)fdiag->Get("shapes_prefit/"+category+"/data"); h_data->SetName("h_data_");
std::cout << h_data->GetN() << "\n";
rescaleXaxis(h_data, xmin, (xmax-xmin)/(float)nbins);
//cosmetics
h_prefit_catp2->SetLineColor(633); h_prefit_catp2->SetLineStyle(2); h_prefit_catp2->SetLineWidth(3); h_prefit_catp2->SetMarkerSize(0);
h_prefit_catp1->SetLineColor(415); h_prefit_catp1->SetLineStyle(2); h_prefit_catp1->SetLineWidth(3); h_prefit_catp1->SetMarkerSize(0);
h_prefit_total->SetLineColor(kBlue+2); h_prefit_total->SetLineStyle(2); h_prefit_total->SetLineWidth(3); h_prefit_total->SetMarkerSize(0);
h_postfit_catp2->SetLineColor(633); h_postfit_catp2->SetLineStyle(1); h_postfit_catp2->SetLineWidth(4); h_postfit_catp2->SetMarkerSize(0);
h_postfit_catp1->SetLineColor(415); h_postfit_catp1->SetLineStyle(1); h_postfit_catp1->SetLineWidth(4); h_postfit_catp1->SetMarkerSize(0);
h_postfit_total->SetLineColor(kBlue+2); h_postfit_total->SetLineStyle(1); h_postfit_total->SetLineWidth(4); h_postfit_total->SetMarkerSize(0);
h_data->SetLineColor(1); h_data->SetLineWidth(3);
h_data->SetMarkerColor(1); h_data->SetMarkerStyle(20); h_data->SetMarkerSize(1.2);
//TGraphAsymmErrors *h_r_prefit = h_data->Clone("h_r_prefit"); h_r_prefit->Divide(h_data,h_prefit_total);
TH1F *h_r_prefit = getDataMCratio(h_data,h_prefit_total); h_r_prefit->SetName("h_r_prefit_");
h_r_prefit->SetMarkerSize(0); h_r_prefit->SetLineColor(kMagenta); h_r_prefit->SetLineStyle(2);
TH1F *h_r_postfit = getDataMCratio(h_data,h_postfit_total); h_r_postfit->SetName("h_r_postfit_");
h_r_postfit->SetMarkerColor(1); h_r_postfit->SetLineColor(1);
TLegend* leg = new TLegend(0.70,0.55,1.04,0.86);
leg->SetFillStyle(0);
leg->SetFillColor(0);
leg->SetLineWidth(0);
leg->AddEntry(h_postfit_catp2,"matched","L");
leg->AddEntry(h_postfit_catp1,"unmatched","L");
leg->AddEntry(h_postfit_total,"Total SM","L");
leg->AddEntry(h_data,"Data","P");
TLegend* legfit = new TLegend(0.4,0.7,0.65,0.86);
legfit->SetFillStyle(0);
legfit->SetFillColor(0);
legfit->SetLineWidth(0);
legfit->AddEntry(h_prefit_total,"Pre-fit","L");
legfit->AddEntry(h_postfit_total,"Post-fit","L");
TLegend* legfitr = new TLegend(0.35,0.80,0.55,0.93);
legfitr->SetFillStyle(0);
legfitr->SetFillColor(0);
legfitr->SetLineWidth(0);
legfitr->AddEntry(h_r_prefit,"Pre-fit","L");
legfitr->AddEntry(h_r_postfit,"Post-fit","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;
std::ostringstream lumistring;
if(whichbit == "05"){lumistring << "59.0 fb^{-1} (13 TeV)";}
else if(whichbit == "04"){lumistring << "41.1 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_"+category+"_"+score+"_"+ptrange+"_"+logstr,"c_"+category+"_"+score+"_"+ptrange+"_"+logstr,600,600);
c->SetName("c_"+category+"_"+score+"_"+ptrange+"_"+logstr);
TPad *pMain = new TPad("pMain_"+category+"_"+score+"_"+ptrange+"_"+logstr,"pMain+"+category+"_"+score+"_"+ptrange+"_"+logstr,0.0,0.35,1.0,1.0);
pMain->SetRightMargin(0.05);
pMain->SetLeftMargin(0.17);
pMain->SetBottomMargin(0.02);
pMain->SetTopMargin(0.1);
TPad *pRatio = new TPad("pRatio_"+category+"_"+score+"_"+ptrange+"_"+logstr,"pRatio_"+category+"_"+score+"_"+ptrange+"_"+logstr,0.0,0.0,1.0,0.35);
pRatio->SetRightMargin(0.05);
pRatio->SetLeftMargin(0.17);
pRatio->SetTopMargin(0.02);
pRatio->SetBottomMargin(0.4);
pMain->Draw();
pRatio->Draw();
pMain->cd();
RooFitResult* r = (RooFitResult*)fdiag->Get("fit_s");
//Display SF
const char *strCat = "SF_catp2";
double SF, SFErr; getSF(r, strCat, SF, SFErr);
TLatex pt_SF;
pt_SF.SetTextSize(0.07);
pt_SF.SetTextFont(42);
std::ostringstream out;
out << fixed << setprecision(3) << "SF = " << SF << " +" << SFErr << " -" << SFErr;
// Display Scale
const char *strShift = "scale";
TLatex pt_Shift;
pt_Shift.SetTextSize(0.07);
pt_Shift.SetTextFont(42);
std::ostringstream out_shift;
if(scaledat>0){
double Shift, ShiftErr; getSF(r, strShift, Shift, ShiftErr);
out_shift << fixed << setprecision(3) << "Shift = " << (80.379+scaleval*scaledat*Shift)/80.379 << " +" << scaleval*scaledat*ShiftErr/80.379 << " -" << ShiftErr*scaleval*scaledat/80.379;
//out_shift << fixed << setprecision(3) << "Shift = " << Shift << " +" << ShiftErr << " -" << ShiftErr;
std::cout << "scale " << out_shift.str() << std::endl;
std::cout << "shift " << Shift*scaleval*scaledat << " and from combine " << Shift <<std::endl;
}
else{
std::cout << " NO SCALE IN DATACARD " << std::endl;
}
// Display Smear
const char *strSmear = "smear";
TLatex pt_Smear;
pt_Smear.SetTextSize(0.07);
pt_Smear.SetTextFont(42);
std::ostringstream out_smear;
if(smeardat>0){
double Smear, SmearErr; getSF(r, strSmear, Smear, SmearErr);
out_smear << fixed << setprecision(4) << "Smear = " << 1/(1+smeardat*smearval*Smear) << " +" << smeardat*smearval/((1+SmearErr*smeardat*smearval)*(1+SmearErr*smeardat*smearval)) << " -" << smeardat*smearval/((1+SmearErr*smeardat*smearval)*(1+SmearErr*smeardat*smearval));
std::cout << "res " << out_smear.str() << std::endl;
std::cout << "smear "<< smeardat*smearval*Smear << " and from combine: "<< Smear <<std::endl;
}
else{
std::cout << " NO SMEAR IN DATACARD " << std::endl;
}
//Display Standard deviation
TLatex pt_Stddev;
pt_Stddev.SetTextSize(0.07);
pt_Stddev.SetTextFont(42);
std::ostringstream out_stddev;
out_stddev << fixed << setprecision(5) << "Stdev pre: " << h_prefit_catp2->GetStdDev() << " post : " << h_postfit_catp2->GetStdDev();
float maxyld = h_postfit_total->GetMaximum();
if (h_prefit_total->GetMaximum()>h_postfit_total->GetMaximum()) { maxyld = h_prefit_total->GetMaximum(); }
if (log) { gPad->SetLogy(); h_prefit_total->GetYaxis()->SetRangeUser(0.1,10.*maxyld); } else { h_prefit_total->GetYaxis()->SetRangeUser(0.,1.8*maxyld); }
h_prefit_total->GetXaxis()->SetLabelSize(0.);
h_prefit_total->GetYaxis()->SetTitle("Events / bin");
h_prefit_total->GetXaxis()->SetTitle(xaxisname);
h_prefit_total->Draw("HIST P");
//h_prefit_catp2->Draw("HIST E0 sames");
//h_prefit_catp1->Draw("HIST E0 sames");
h_postfit_catp2->Draw("HIST E0 sames");
h_postfit_catp1->Draw("HIST E0 sames");
h_postfit_total->Draw("HIST E0 sames");
h_data->Draw("P sames");
leg->Draw("sames");
pt_cms->Draw("sames");
pt_preliminary->Draw("sames");
pt_lumi.DrawLatexNDC(0.64,0.93,lumistring.str().c_str());
if(category=="pass"){
pt_SF.DrawLatexNDC(0.2,0.65, out.str().c_str());
pt_Shift.DrawLatexNDC(0.2,0.55, out_shift.str().c_str());
//pt_Smear.DrawLatexNDC(0.2,0.45, out_smear.str().c_str());
//pt_Stddev.DrawLatexNDC(0.2,0.35, out_stddev.str().c_str());
}
c->RedrawAxis();
pRatio->cd();
gPad->SetBottomMargin(0.2);
h_r_postfit->GetYaxis()->SetTitleOffset(0.75);
h_r_postfit->GetYaxis()->SetTitleSize(0.1);
h_r_postfit->GetYaxis()->SetLabelSize(0.08);
h_r_postfit->GetXaxis()->SetTitleSize(0.1);
h_r_postfit->GetXaxis()->SetLabelSize(0.08);
h_r_postfit->GetXaxis()->SetTitle(xaxisname);
h_r_postfit->GetYaxis()->SetTitle("Data / Post-fit");
h_r_postfit->GetYaxis()->SetRangeUser(0.01,1.99);
h_r_postfit->Draw("P E0");
// h_r_prefit->Draw("HIST sames");
c->RedrawAxis();
if (log) {
c->Print(path2file+"/plots_datamc/"+category+"_"+score+"_"+whichbit+"_"+ptrange+"_log.pdf");
c->Print(path2file+"/plots_datamc/"+category+"_"+score+"_"+whichbit+"_"+ptrange+"_log.png");
}
else {
c->Print(path2file+"/plots_datamc/"+category+"_"+score+"_"+whichbit+"_"+ptrange+"_lin.pdf");
c->Print(path2file+"/plots_datamc/"+category+"_"+score+"_"+whichbit+"_"+ptrange+"_lin.png");
}
//c->Delete();
} // 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);
}
TGraphAsymmErrors *getTGraphAsymmErrorsFromHisto(TH1 *input) {
TH1::SetDefaultSumw2(kTRUE);
int nbins = input->GetNbinsX();
double x[nbins], y[nbins], exl[nbins], exh[nbins], eyl[nbins], eyh[nbins];
for (unsigned int i0=0; i0<nbins; ++i0) {
x[i0] = input->GetBinCenter(i0+1);
exl[i0] = 0.;
exh[i0] = 0.;
y[i0] = input->GetBinContent(i0+1);
eyl[i0] = input->GetBinError(i0+1);
eyh[i0] = input->GetBinError(i0+1);
}
TGraphAsymmErrors *gr = new TGraphAsymmErrors(nbins,x,y,exl,exh,eyl,eyh);
return gr;
}
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;
}
void getSF(RooFitResult* r, const char *strPar, double &par, double &parerr) {
RooRealVar* par1_fitresult = (RooRealVar*) r->floatParsFinal().find(strPar);
par = par1_fitresult->getVal();
parerr = par1_fitresult->getError();
}