//------------------------------------------------------------------------
void DrawWalk()
{
Int_t npeaks = 20;
Int_t sigma=3.;
Bool_t down = false;
Int_t index[20];
Char_t buf1[10], buf2[10];
TCanvas *c1 = new TCanvas("c1", "c1",0,48,1280,951);
gStyle->SetOptStat(0);
c1->Divide(4,3);
for (Int_t i=0; i<12; i++)
{
c1->cd(i+1);
sprintf(buf1,"T0_C_%i_CFD",i+1);
sprintf(buf2,"CFDvsQTC%i",i+1);
cout<<buf1<<" "<<buf2<<endl;
TH2F *qtc_cfd = (TH2F*) gFile->Get(buf2);
TH1F *cfd = (TH1F*) gFile->Get(buf1);
// cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.05);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0){
Float_t *xpeak = s->GetPositionX();
TMath::Sort(nfound, xpeak, index,down);
Float_t xp = xpeak[index[0]];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[1]<<"\typeak = "<<yp<<endl;
Float_t hmax = xp+10*sigma;
Float_t hmin = xp-10*sigma;
cout<<hmin<< " "<<hmax<<endl;
// cfd->GetXaxis()->SetRange(hmin,hmax);
// TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
// cfd->Fit("g1","R");
Int_t hminbin= qtc_cfd->GetXaxis()->GetFirst();
Int_t hmaxbin= qtc_cfd->GetXaxis()->GetLast();
Int_t nbins= qtc_cfd->GetXaxis()->GetNbins();
cout<<" qtc_cfd "<<hminbin<<" "<<hmaxbin<<" "<<nbins<<endl;
// qtc_cfd->Draw();
TProfile *pr_y = qtc_cfd->ProfileX();
Float_t maxHr=pr_y->GetBinCenter(hmaxbin);
pr_y->SetMaximum(hmax);
pr_y->SetMinimum(hmin);
Int_t np=nbins/20;
Double_t *xx = new Double_t[np];
Double_t *yy = new Double_t[np];
Int_t ng=0;
Double_t yg=0;
for (Int_t ip=1; ip<nbins; ip++)
{
if(ip%20 != 0 ) {
if (pr_y->GetBinContent(ip) !=0)
yg +=pr_y->GetBinContent(ip);
// cout<<ng<<" "<<pr_y->GetBinContent(ip)<<" "<<yg<<endl;
ng++;}
else {
xx[ip/20] = Float_t (pr_y->GetBinCenter(ip));
yy[ip/20] = yg/ng;
yg=0;
ng=0;
cout<<ip<<" "<<ip/20<<" "<< xx[ip/20]<<" "<< yy[ip/20]<<endl;
}
}
TH2F *hr = new TH2F("hr"," ",np,0,maxHr, np, hmin, hmax);
hr->Draw();
TGraph *gr = new TGraph(np,xx,yy);
gr->SetMinimum(hmin);
gr->SetMaximum(hmax);
gr->SetMarkerStyle(20);
gr->Draw("P");
// delete [] xx;
// delete [] yy;
// pr_y->Rebin(10);
// pr_y->Draw();
}
}
}
Int_t DrawPerformanceZDCQAMatch(TString inFile="trending.root"){
// Draw control histograms and generate output pictures
gSystem->Load("libSTAT");
gSystem->Load("libANALYSIS");
gSystem->Load("libANALYSISalice");
gSystem->Load("libANALYSIScalib");
gSystem->Load("libCORRFW");
gSystem->Load("libANALYSISalice");
gSystem->Load("libANALYSIScalib");
gSystem->Load("libTender");
gSystem->Load("libPWGPP");
gROOT->Reset();
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
gStyle->SetTitleSize(0.025);
TH1::AddDirectory(kFALSE);
TFile * fin = TFile::Open(inFile.Data());
if (!fin){
Printf("File not found !!!");
return -1;
}
TTree * ttree = (TTree*) fin->Get("trending"); //in
TTree * tree = new TTree("tree","tree"); //out (to be summed)
if (!ttree){
Printf("Invalid trending tree!!!!!!!!!!!!!!");
return -2;
}
Int_t nRuns = ttree->GetEntries();
TList list;
printf(" nRuns %d\n", nRuns);
/*set graphic style*/
gStyle->SetCanvasColor(kWhite);
gStyle->SetFrameFillColor(kWhite);
gStyle->SetFrameBorderMode(0);
gStyle->SetCanvasBorderMode(0);
gStyle->SetTitleFillColor(kWhite);
gStyle->SetTitleBorderSize(0);
gStyle->SetTitleFont(42);
gStyle->SetTitleX(0.5);
gStyle->SetTitleAlign(23);
gStyle->SetTextFont(42);
gStyle->SetStatColor(kWhite);
gStyle->SetStatBorderSize(1);
gStyle->SetOptStat(0);
gStyle->SetTickLength(0.02,"y");
gStyle->SetLabelSize(0.02,"xyz");
gStyle->SetLabelOffset(0.03,"xyz");
TString plotDir(".");
TLegend *legend = new TLegend(0.9,0.1,1.0,0.9);
legend->SetFillColor(kWhite);
Int_t runNumber=0;
Double_t ZNC_mean=0;
Double_t ZNA_mean=0;
Double_t ZPA_mean=0;
Double_t ZPC_mean=0;
Double_t ZNCuncalib_mean=0;
Double_t ZNAuncalib_mean=0;
Double_t ZPAuncalib_mean=0;
Double_t ZPCuncalib_mean=0;
Double_t ZEM1_mean=0;
Double_t ZEM2_mean=0;
Double_t ZNC_XCent=0;
Double_t ZNC_YCent=0;
Double_t ZNA_XCent=0;
Double_t ZNA_YCent=0;
Double_t ZNC_XCent_err=0;
Double_t ZNC_YCent_err=0;
Double_t ZNA_XCent_err=0;
Double_t ZNA_YCent_err=0;
Double_t ZN_TDC_Sum=0;
Double_t ZN_TDC_Diff=0;
Double_t ZN_TDC_Sum_err=0;
Double_t ZN_TDC_Diff_err=0;
Double_t ZNC_TDC=0;
Double_t ZNA_TDC=0;
TH1F *hZNCpmcUncalib = new TH1F("hZNCpmcUncalib","hZNCpmcUncalib",200.,0.,2000.);
TH1F *hZNApmcUncalib = new TH1F("hZNApmcUncalib","hZNApmcUncalib",200.,0.,2000.);
TH1F *hZPCpmcUncalib = new TH1F("hZPCpmcUncalib","hZPCpmcUncalib",200.,0.,2000.);
TH1F *hZPApmcUncalib = new TH1F("hZPApmcUncalib","hZPApmcUncalib",200.,0.,2000.);
TH1F *hZEM1 = new TH1F("hZEM1","hZEM1",200.,0.,2000.);
TH1F *hZEM2 = new TH1F("hZEM2","hZEM2",200.,0.,2000.);
ttree->SetBranchAddress("run",&runNumber);
ttree->SetBranchAddress("ZNC_mean_value",&ZNC_mean);
ttree->SetBranchAddress("ZNA_mean_value",&ZNA_mean);
ttree->SetBranchAddress("ZPC_mean_value",&ZPC_mean);
ttree->SetBranchAddress("ZPA_mean_value",&ZPA_mean);
ttree->SetBranchAddress("ZNCuncalib_mean",&ZNCuncalib_mean);
ttree->SetBranchAddress("ZNAuncalib_mean",&ZNAuncalib_mean);
ttree->SetBranchAddress("ZPCuncalib_mean",&ZPCuncalib_mean);
ttree->SetBranchAddress("ZPAuncalib_mean",&ZPAuncalib_mean);
ttree->SetBranchAddress("ZEM1_mean_value",&ZEM1_mean);
ttree->SetBranchAddress("ZEM2_mean_value",&ZEM2_mean);
ttree->SetBranchAddress("ZNC_X_Centroid",&ZNC_XCent);
ttree->SetBranchAddress("ZNC_Y_Centroid",&ZNC_YCent);
ttree->SetBranchAddress("ZNA_X_Centroid",&ZNA_XCent);
ttree->SetBranchAddress("ZNA_Y_Centroid",&ZNA_YCent);
ttree->SetBranchAddress("ZNC_X_Centroid_Err",&ZNC_XCent_err);
ttree->SetBranchAddress("ZNC_Y_Centroid_Err",&ZNC_YCent_err);
ttree->SetBranchAddress("ZNA_X_Centroid_Err",&ZNA_XCent_err);
ttree->SetBranchAddress("ZNA_Y_Centroid_Err",&ZNA_YCent_err);
ttree->SetBranchAddress("ZN_TDC_Sum",&ZN_TDC_Sum);
ttree->SetBranchAddress("ZN_TDC_Diff",&ZN_TDC_Diff);
ttree->SetBranchAddress("ZN_TDC_Sum_Err",&ZN_TDC_Sum_err);
ttree->SetBranchAddress("ZN_TDC_Diff_Err",&ZN_TDC_Diff_err);
//ttree->SetBranchAddress("ZNC_TDC",&ZNC_TDC);
//ttree->SetBranchAddress("ZNA_TDC",&ZNA_TDC);
printf(" branch addresses set\n");
TH1F *hznc = new TH1F("hznc","ZNC average signal",3,-1,1);
hznc->GetXaxis()->SetRangeUser(-1.,1.);
hznc->SetDrawOption("EP");
hznc->SetMarkerStyle(20);
hznc->SetMarkerColor(kRed);
hznc->SetLineColor(kRed);
TH1F *hzna = new TH1F("hzna","ZNA average signal",3,-1,1);
hzna->GetXaxis()->SetRangeUser(-1.,1.);
hzna->SetDrawOption("EP");
hzna->SetMarkerStyle(20);
hzna->SetMarkerColor(kRed);
hzna->SetLineColor(kRed);
TH1F *hzpc = new TH1F("hzpc","ZPC average signal",3,-1,1);
hzpc->GetXaxis()->SetRangeUser(-1.,1.);
hzpc->SetDrawOption("EP");
hzpc->SetMarkerStyle(20);
hzpc->SetMarkerColor(kRed);
hzpc->SetLineColor(kRed);
TH1F *hzpa = new TH1F("hzpa","ZPA average signal",3,-1,1);
hzpa->GetXaxis()->SetRangeUser(-1.,1.);
hzpa->SetDrawOption("EP");
hzpa->SetMarkerStyle(20);
hzpa->SetMarkerColor(kRed);
hzpa->SetLineColor(kRed);
TH1F *hzncUncalib = new TH1F("hzncUncalib","ZNC uncalibrated average signal",3,-1,1);
hzncUncalib->GetXaxis()->SetRangeUser(-1.,1.);
hzncUncalib->SetDrawOption("EP");
hzncUncalib->SetMarkerStyle(20);
hzncUncalib->SetMarkerColor(kAzure+10);
hzncUncalib->SetLineColor(kAzure+10);
TH1F *hznaUncalib = new TH1F("hznaUncalib","ZNA uncalibrated average signal",3,-1,1);
hznaUncalib->GetXaxis()->SetRangeUser(-1.,1.);
hznaUncalib->SetDrawOption("EP");
hznaUncalib->SetMarkerStyle(20);
hznaUncalib->SetMarkerColor(kAzure+10);
hznaUncalib->SetLineColor(kAzure+10);
TH1F *hzpcUncalib = new TH1F("hzpcUncalib","ZPC uncalibrated average signal",3,-1,1);
hzpcUncalib->GetXaxis()->SetRangeUser(-1.,1.);
hzpcUncalib->SetDrawOption("EP");
hzpcUncalib->SetMarkerStyle(20);
hzpcUncalib->SetMarkerColor(kAzure+10);
hzpcUncalib->SetLineColor(kAzure+10);
TH1F *hzpaUncalib = new TH1F("hzpaUncalib","ZPA uncalibrated average signal",3,-1,1);
hzpaUncalib->GetXaxis()->SetRangeUser(-1.,1.);
hzpaUncalib->SetDrawOption("EP");
hzpaUncalib->SetMarkerStyle(20);
hzpaUncalib->SetMarkerColor(kAzure+10);
hzpaUncalib->SetLineColor(kAzure+10);
TH1F *hzem1 = new TH1F("hzem1","ZEM1 average signal",3,-1,1);
hzem1->GetXaxis()->SetRangeUser(-1.,1.);
hzem1->SetDrawOption("EP");
hzem1->SetMarkerStyle(20);
hzem1->SetMarkerColor(kRed);
hzem1->SetLineColor(kRed);
TH1F *hzem2 = new TH1F("hzem2","ZEM2 average signal",3,-1,1);
hzem2->GetXaxis()->SetRangeUser(-1.,1.);
hzem2->SetDrawOption("EP");
hzem2->SetMarkerStyle(20);
hzem2->SetMarkerColor(kRed);
hzem2->SetLineColor(kRed);
TH1F *hzna_Xcentroid = new TH1F("hzna_Xcentroid","ZNA X centroid",3,-1,1);
hzna_Xcentroid->GetXaxis()->SetRangeUser(-1.,1.);
hzna_Xcentroid->SetDrawOption("EP");
hzna_Xcentroid->SetMarkerStyle(20);
hzna_Xcentroid->SetMarkerColor(kRed);
hzna_Xcentroid->SetLineColor(kRed);
TH1F *hzna_Ycentroid = new TH1F("hzna_Ycentroid","ZNA Y centroid",3,-1,1);
hzna_Ycentroid->GetXaxis()->SetRangeUser(-1.,1.);
hzna_Ycentroid->SetDrawOption("EP");
hzna_Ycentroid->SetMarkerStyle(20);
hzna_Ycentroid->SetMarkerColor(kRed);
hzna_Ycentroid->SetLineColor(kRed);
TH1F *hznc_Xcentroid = new TH1F("hznc_Xcentroid","ZNC X centroid",3,-1,1);
hznc_Xcentroid->GetXaxis()->SetRangeUser(-1.,1.);
hznc_Xcentroid->SetDrawOption("EP");
hznc_Xcentroid->SetMarkerStyle(20);
hznc_Xcentroid->SetMarkerColor(kRed);
hznc_Xcentroid->SetLineColor(kRed);
TH1F *hznc_Ycentroid = new TH1F("hznc_Ycentroid","ZNC Y centroid",3,-1,1);
hznc_Ycentroid->GetXaxis()->SetRangeUser(-1.,1.);
hznc_Ycentroid->SetDrawOption("EP");
hznc_Ycentroid->SetMarkerStyle(20);
hznc_Ycentroid->SetMarkerColor(kRed);
hznc_Ycentroid->SetLineColor(kRed);
TH1F *hzn_TDC_Sum = new TH1F("hzn_TDC_Sum","ZNC TDC + ZNA TDC",3,-1,1);
hzn_TDC_Sum->GetXaxis()->SetRangeUser(-1.,1.);
hzn_TDC_Sum->SetDrawOption("EP");
hzn_TDC_Sum->SetMarkerStyle(20);
hzn_TDC_Sum->SetMarkerColor(kRed);
hzn_TDC_Sum->SetLineColor(kRed);
TH1F *hzn_TDC_Diff = new TH1F("hzn_TDC_Diff","ZNC TDC - ZNA TDC",3,-1,1);
hzn_TDC_Diff->GetXaxis()->SetRangeUser(-1.,1.);
hzn_TDC_Diff->SetDrawOption("EP");
hzn_TDC_Diff->SetMarkerStyle(20);
hzn_TDC_Diff->SetMarkerColor(kRed);
hzn_TDC_Diff->SetLineColor(kRed);
TH1F *hznc_TDC = new TH1F("hznc_TDC","ZNC TDC",3,-1,1);
hznc_TDC->GetXaxis()->SetRangeUser(-1.,1.);
hznc_TDC->SetDrawOption("EP");
hznc_TDC->SetMarkerStyle(20);
hznc_TDC->SetMarkerColor(kRed);
hznc_TDC->SetLineColor(kRed);
TH1F *hzna_TDC = new TH1F("hzna_TDC","ZNA TDC",3,-1,1);
hzna_TDC->GetXaxis()->SetRangeUser(-1.,1.);
hzna_TDC->SetDrawOption("EP");
hzna_TDC->SetMarkerStyle(20);
hzna_TDC->SetMarkerColor(kRed);
hzna_TDC->SetLineColor(kRed);
char runlabel[40];
for (Int_t irun=0;irun<nRuns;irun++){
ttree->GetEntry(irun);
}
sprintf(runlabel,"%i",runNumber);
//----------------------------------------------------------------------
//spectrum vs run
//----------------------------------------------------------------------
hZNCpmcUncalib = dynamic_cast<TH1F*> (fin->Get("fhZNCpmcUncalib"));
if(hZNCpmcUncalib){
if(hZNCpmcUncalib->GetEntries()>0. ) hZNCpmcUncalib->Scale(1./hZNCpmcUncalib->GetEntries());
hZNCpmcUncalib->SetLineColor(kRed);
hZNCpmcUncalib->SetLineWidth(2);
hZNCpmcUncalib->SetTitle("ZNC spectrum");
hZNCpmcUncalib->SetXTitle("ZNC signal ");
}
hZNApmcUncalib = dynamic_cast<TH1F*> (fin->Get("fhZNApmcUncalib"));
if(hZNApmcUncalib){
if(hZNApmcUncalib->GetEntries()>0. ) hZNApmcUncalib->Scale(1./hZNApmcUncalib->GetEntries());
hZNApmcUncalib->SetLineColor(kRed);
hZNApmcUncalib->SetLineWidth(2);
hZNApmcUncalib->SetTitle("ZNA spectrum");
hZNApmcUncalib->SetXTitle("ZNA signal ");
}
hZPCpmcUncalib = dynamic_cast<TH1F*> (fin->Get("fhZPCpmcUncalib"));
if(hZPCpmcUncalib){
if(hZPCpmcUncalib->GetEntries()>0. ) hZPCpmcUncalib->Scale(1./hZPCpmcUncalib->GetEntries());
hZPCpmcUncalib->SetLineColor(kRed);
hZPCpmcUncalib->SetLineWidth(2);
hZPCpmcUncalib->SetTitle("ZPC spectrum");
hZPCpmcUncalib->SetXTitle("ZPC signal ");
}
hZPApmcUncalib = dynamic_cast<TH1F*> (fin->Get("fhZPApmcUncalib"));
if(hZPApmcUncalib){
if(hZPApmcUncalib->GetEntries()>0. ) hZPApmcUncalib->Scale(1./hZPApmcUncalib->GetEntries());
hZPApmcUncalib->SetLineColor(kRed);
hZPApmcUncalib->SetLineWidth(2);
hZPApmcUncalib->SetTitle("ZPA spectrum");
hZPApmcUncalib->SetXTitle("ZPA signal ");
}
hZEM1 = dynamic_cast<TH1F*> (fin->Get("fhZEM1Spectrum"));
if(hZEM1){
if(hZEM1->GetEntries()>0.) hZEM1->Scale(1./hZEM1->GetEntries());
hZEM1->SetLineColor(kRed);
hZEM1->SetLineWidth(2);
hZEM1->SetTitle("ZEM1 spectrum");
hZEM1->SetXTitle("ZEM1 signal (ADC ch.)");
}
hZEM2 = dynamic_cast<TH1F*> (fin->Get("fhZEM2Spectrum"));
if(hZEM2){
if(hZEM2->GetEntries()>0.) hZEM2->Scale(1./hZEM2->GetEntries());
hZEM2->SetLineColor(kRed);
hZEM2->SetLineWidth(2);
hZEM2->SetTitle("ZEM2 spectrum");
hZEM2->SetXTitle("ZEM2 signal (ADC ch.)");
}
//----------------------------------------------------------------------
//variables vs run
//----------------------------------------------------------------------
hzna->SetBinContent(2,ZNA_mean);
hzna->GetXaxis()->SetBinLabel(2,runlabel);
hzna->GetXaxis()->SetLabelSize(0.05);
hzpc->SetBinContent(2,ZPC_mean);
hzpc->GetXaxis()->SetBinLabel(2,runlabel);
hzpc->GetXaxis()->SetLabelSize(0.05);
hznc->SetBinContent(2,ZNC_mean);
hznc->GetXaxis()->SetBinLabel(2,runlabel);
hznc->GetXaxis()->SetLabelSize(0.05);
hzpa->SetBinContent(2,ZPA_mean);
hzpa->GetXaxis()->SetBinLabel(2,runlabel);
hzpa->GetXaxis()->SetLabelSize(0.05);
hznaUncalib->SetBinContent(2,ZNAuncalib_mean);
hznaUncalib->GetXaxis()->SetBinLabel(2,runlabel);
hznaUncalib->GetXaxis()->SetLabelSize(0.05);
hzpcUncalib->SetBinContent(2,ZPCuncalib_mean);
hzpcUncalib->GetXaxis()->SetBinLabel(2,runlabel);
hzpcUncalib->GetXaxis()->SetLabelSize(0.05);
hzncUncalib->SetBinContent(2,ZNCuncalib_mean);
hzncUncalib->GetXaxis()->SetBinLabel(2,runlabel);
hzncUncalib->GetXaxis()->SetLabelSize(0.05);
hzpaUncalib->SetBinContent(2,ZPAuncalib_mean);
hzpaUncalib->GetXaxis()->SetBinLabel(2,runlabel);
hzpaUncalib->GetXaxis()->SetLabelSize(0.05);
hzem1->SetBinContent(2,ZEM1_mean);
hzem1->GetXaxis()->SetBinLabel(2,runlabel);
hzem1->GetXaxis()->SetLabelSize(0.05);
hzem2->SetBinContent(2,ZEM2_mean);
hzem2->GetXaxis()->SetBinLabel(2,runlabel);
hzem2->GetXaxis()->SetLabelSize(0.05);
hzna_Xcentroid->SetBinContent(2,ZNA_XCent);
hzna_Xcentroid->SetBinError(2,ZNA_XCent_err);
hzna_Xcentroid->GetXaxis()->SetBinLabel(2,runlabel);
hzna_Xcentroid->GetXaxis()->SetLabelSize(0.05);
hzna_Xcentroid->GetYaxis()->SetTitle("(cm)");
hzna_Ycentroid->SetBinContent(2,ZNA_YCent);
hzna_Ycentroid->SetBinError(2,ZNA_YCent_err);
hzna_Ycentroid->GetXaxis()->SetBinLabel(2,runlabel);
hzna_Ycentroid->GetXaxis()->SetLabelSize(0.05);
hzna_Ycentroid->GetYaxis()->SetTitle("(cm)");
hznc_Xcentroid->SetBinContent(2,ZNC_XCent);
hznc_Xcentroid->SetBinError(2,ZNC_XCent_err);
hznc_Xcentroid->GetXaxis()->SetBinLabel(2,runlabel);
hznc_Xcentroid->GetXaxis()->SetLabelSize(0.05);
hznc_Xcentroid->GetYaxis()->SetTitle("(cm)");
hznc_Ycentroid->SetBinContent(2,ZNC_YCent);
hznc_Ycentroid->SetBinError(2,ZNC_YCent_err);
hznc_Ycentroid->GetXaxis()->SetBinLabel(2,runlabel);
hznc_Ycentroid->GetXaxis()->SetLabelSize(0.05);
hznc_Ycentroid->GetYaxis()->SetTitle("(cm)");
hzn_TDC_Sum->SetBinContent(2,ZN_TDC_Sum);
hzn_TDC_Sum->SetBinError(2,ZN_TDC_Sum_err);
hzn_TDC_Sum->GetXaxis()->SetBinLabel(2,runlabel);
hzn_TDC_Sum->GetXaxis()->SetLabelSize(0.05);
hzn_TDC_Sum->GetYaxis()->SetTitle("(ns)");
hzn_TDC_Diff->SetBinContent(2,ZN_TDC_Diff);
hzn_TDC_Diff->SetBinError(2,ZN_TDC_Diff_err);
hzn_TDC_Diff->GetXaxis()->SetBinLabel(2,runlabel);
hzn_TDC_Diff->GetXaxis()->SetLabelSize(0.05);
hzn_TDC_Diff->GetYaxis()->SetTitle("(ns)");
hznc_TDC->SetBinContent(2,ZNC_TDC);
//hznc_TDC->SetBinError(2,ZNC_TDC_err);
hznc_TDC->GetXaxis()->SetBinLabel(2,runlabel);
hznc_TDC->GetXaxis()->SetLabelSize(0.05);
hznc_TDC->GetYaxis()->SetTitle("(ns)");
hzna_TDC->SetBinContent(2,ZNA_TDC);
//hzna_TDC->SetBinError(2,ZNA_TDC_err);
hzna_TDC->GetXaxis()->SetBinLabel(2,runlabel);
hzna_TDC->GetXaxis()->SetLabelSize(0.05);
hzna_TDC->GetYaxis()->SetTitle("(ns)");
//----------------------------------------------------------------------
//spectra
//----------------------------------------------------------------------
TCanvas* cZNC_Spectra_Uncal = new TCanvas("cZNC_Spectra_Uncal","cZNC_Spectra_Uncal",0,0,1200,900);
if(hZNCpmcUncalib){
gPad->SetLogy();
hZNCpmcUncalib->Draw();
cZNC_Spectra_Uncal->Print(Form("%s/cZNC_Spectra_Uncal.png",plotDir.Data()));
}
TCanvas* cZNA_Spectra_Uncal = new TCanvas("cZNA_Spectra_Uncal","cZNA_Spectra_Uncal",0,0,1200,900);
if(hZNApmcUncalib){
gPad->SetLogy();
hZNApmcUncalib->Draw();
cZNA_Spectra_Uncal->Print(Form("%s/cZNA_Spectra_Uncal.png",plotDir.Data()));
}
TCanvas* cZPC_Spectra_Uncal = new TCanvas("cZPC_Spectra_Uncal","cZPC_Spectra_Uncal",0,0,1200,900);
if(hZPCpmcUncalib){
gPad->SetLogy();
hZPCpmcUncalib->Draw();
cZPC_Spectra_Uncal->Print(Form("%s/cZPC_Spectra_Uncal.png",plotDir.Data()));
}
TCanvas* cZPA_Spectra_Uncal = new TCanvas("cZPA_Spectra_Uncal","cZPA_Spectra_Uncal",0,0,1200,900);
if(hZPApmcUncalib){
gPad->SetLogy();
hZPApmcUncalib->Draw();
cZPA_Spectra_Uncal->Print(Form("%s/cZPA_Spectra_Uncal.png",plotDir.Data()));
}
TCanvas* cZEM1_Spectra = new TCanvas("cZEM1_Spectra","cZEM1_Spectra",0,0,1200,900);
if(hZEM1){
gPad->SetLogy();
hZEM1->Draw();
cZEM1_Spectra->Print(Form("%s/cZEM1_Spectra.png",plotDir.Data()));
}
TCanvas* cZEM2_Spectra = new TCanvas("cZEM2_Spectra","cZEM2_Spectra",0,0,1200,900);
if(hZEM2){
gPad->SetLogy();
hZEM2->Draw();
cZEM2_Spectra->Print(Form("%s/cZEM2_Spectra.png",plotDir.Data()));
}
//---------------------------------------------------------------------------------------------------
//means
//---------------------------------------------------------------------------------------------------
TCanvas* cZNC_Mean_Values = new TCanvas("cZNC_Mean_Values","cZNC_Mean_Values", 0,0,750,900);
hznc->Draw("ep");
cZNC_Mean_Values->Print(Form("%s/cZNC_Mean_Values.png",plotDir.Data()));
TCanvas* cZNA_Mean_Values = new TCanvas("cZNA_Mean_Values","cZNA_Mean_Values", 0,0,750,900);
hzna->Draw("ep");
cZNA_Mean_Values->Print(Form("%s/cZNA_Mean_Values.png",plotDir.Data()));
TCanvas* cZPC_Mean_Values = new TCanvas("cZPC_Mean_Values","cZPC_Mean_Values", 0,0,750,900);
hzpc->Draw("ep");
cZPC_Mean_Values->Print(Form("%s/cZPC_Mean_Values.png",plotDir.Data()));
TCanvas* cZPA_Mean_Values = new TCanvas("cZPA_Mean_Values","cZPA_Mean_Values", 0,0,750,900);
hzpa->Draw("ep");
cZPA_Mean_Values->Print(Form("%s/cZPA_Mean_Values.png",plotDir.Data()));
TCanvas* cZNC_Mean_Uncalib = new TCanvas("cZNC_Mean_Uncalib","cZNC_Mean_Uncalib", 0,0,750,900);
hzncUncalib->Draw("ep");
cZNC_Mean_Uncalib->Print(Form("%s/cZNC_Mean_Uncalib.png",plotDir.Data()));
TCanvas* cZNA_Mean_Uncalib = new TCanvas("cZNA_Mean_Uncalib","cZNA_Mean_Uncalib", 0,0,750,900);
hznaUncalib->Draw("ep");
cZNA_Mean_Uncalib->Print(Form("%s/cZNA_Mean_Uncalib.png",plotDir.Data()));
TCanvas* cZPC_Mean_Uncalib = new TCanvas("cZPC_Mean_Uncalib","cZPC_Mean_Uncalib", 0,0,750,900);
hzpcUncalib->Draw("ep");
cZPC_Mean_Uncalib->Print(Form("%s/cZPC_Mean_Uncalib.png",plotDir.Data()));
TCanvas* cZPA_Mean_Uncalib = new TCanvas("cZPA_Mean_Uncalib","cZPA_Mean_Uncalib", 0,0,750,900);
hzpaUncalib->Draw("ep");
cZPA_Mean_Uncalib->Print(Form("%s/cZPA_Mean_Uncalib.png",plotDir.Data()));
TCanvas* cZEM1_Mean_Values = new TCanvas("cZEM1_Mean_Values","cZEM1_Mean_Values", 0,0,750,900);
hzem1->Draw("ep");
cZEM1_Mean_Values->Print(Form("%s/cZEM1_Mean_Values.png",plotDir.Data()));
TCanvas* cZEM2_Mean_Values = new TCanvas("cZEM2_Mean_Values","cZEM2_Mean_Values", 0,0,750,900);
hzem2->Draw("ep");
cZEM2_Mean_Values->Print(Form("%s/cZEM2_Mean_Values.png",plotDir.Data()));
//---------------------------------------------------------------------------------------------------
//centroids
//---------------------------------------------------------------------------------------------------
TCanvas* cZNA_X_centroid = new TCanvas("cZNA_X_centroid","cZNA_X_centroid", 0,0,750,900);
hzna_Xcentroid->Draw();
cZNA_X_centroid->Print(Form("%s/cZNA_X_centroid.png",plotDir.Data()));
TCanvas* cZNA_Y_centroid = new TCanvas("cZNA_Y_centroid","cZNA_Y_centroid", 0,0,750,900);
hzna_Ycentroid->Draw();
cZNA_Y_centroid->Print(Form("%s/cZNA_Y_centroid.png",plotDir.Data()));
TCanvas* cZNC_X_centroid = new TCanvas("cZNC_X_centroid","cZNC_X_centroid", 0,0,750,900);
hznc_Xcentroid->Draw();
cZNC_X_centroid->Print(Form("%s/cZNC_X_centroid.png",plotDir.Data()));
TCanvas* cZNC_Y_centroid = new TCanvas("cZNC_Y_centroid","cZNC_Y_centroid", 0,0,750,900);
hznc_Ycentroid->Draw();
cZNC_Y_centroid->Print(Form("%s/cZNC_Y_centroid.png",plotDir.Data()));
//---------------------------------------------------------------------------------
//timing
//---------------------------------------------------------------------------------
TCanvas* cTimingSum = new TCanvas("cTimingSum","cTimingSum",0,0,750,900);
hzn_TDC_Sum->Draw();
cTimingSum->Print(Form("%s/cTimingSum.png",plotDir.Data()));
TCanvas* cTimingDiff = new TCanvas("cTimingDiff","cTimingDiff",0,0,750,900);
hzn_TDC_Diff->Draw();
cTimingDiff->Print(Form("%s/cTimingDiff.png",plotDir.Data()));
//----------------------------------------------------------------------
//out
//----------------------------------------------------------------------
printf(" preparing output tree\n");
tree->Branch("run",&runNumber,"runNumber/I");
tree->Branch("ZNC_mean_value",&ZNC_mean,"ZNC_mean/D");
tree->Branch("ZNA_mean_value",&ZNA_mean,"ZNA_mean/D");
tree->Branch("ZPC_mean_value",&ZPC_mean,"ZPC_mean/D");
tree->Branch("ZPA_mean_value",&ZPA_mean,"ZPA_mean/D");
tree->Branch("ZNC_mean_uncalib",&ZNCuncalib_mean,"ZNCuncalib_mean/D");
tree->Branch("ZNA_mean_uncalib",&ZNAuncalib_mean,"ZNAuncalib_mean/D");
tree->Branch("ZPC_mean_uncalib",&ZPCuncalib_mean,"ZPCuncalib_mean/D");
tree->Branch("ZPA_mean_uncalib",&ZPAuncalib_mean,"ZPAuncalib_mean/D");
tree->Branch("ZEM1_mean_value",&ZEM1_mean,"ZEM1_mean/D");
tree->Branch("ZEM2_mean_value",&ZEM2_mean,"ZEM2_mean/D");
tree->Branch("ZNC_X_Centroid",&ZNC_XCent,"ZNC_XCent/D");
tree->Branch("ZNC_Y_Centroid",&ZNC_YCent,"ZNC_YCent/D");
tree->Branch("ZNA_X_Centroid",&ZNA_XCent,"ZNA_XCent/D");
tree->Branch("ZNA_Y_Centroid",&ZNA_YCent,"ZNA_YCent/D");
tree->Branch("ZNC_X_Centroid_Err",&ZNC_XCent_err,"ZNC_XCent_err/D");
tree->Branch("ZNC_Y_Centroid_Err",&ZNC_YCent_err,"ZNC_YCent_err/D");
tree->Branch("ZNA_X_Centroid_Err",&ZNA_XCent_err,"ZNA_XCent_err/D");
tree->Branch("ZNA_Y_Centroid_Err",&ZNA_YCent_err,"ZNA_YCent_err/D");
tree->Branch("ZN_TDC_Sum",&ZN_TDC_Sum,"ZN_TDC_Sum/D");
tree->Branch("ZN_TDC_Diff",&ZN_TDC_Diff,"ZN_TDC_Diff/D");
tree->Branch("ZN_TDC_Sum_Err",&ZN_TDC_Sum_err,"ZN_TDC_Sum_err/D");
tree->Branch("ZN_TDC_Diff_Err",&ZN_TDC_Diff_err,"ZN_TDC_Diff_err/D");
tree->Fill();
if(hZNCpmcUncalib) list.Add(cZNC_Spectra_Uncal);
if(hZNApmcUncalib) list.Add(cZNA_Spectra_Uncal);
if(hZPCpmcUncalib) list.Add(cZPC_Spectra_Uncal);
if(hZPApmcUncalib) list.Add(cZPA_Spectra_Uncal);
list.Add(cZEM1_Spectra);
list.Add(cZEM2_Spectra);
list.Add(cTimingSum);
list.Add(cTimingDiff);
list.Add(cZNA_X_centroid);
list.Add(cZNA_Y_centroid);
list.Add(cZNC_X_centroid);
list.Add(cZNC_Y_centroid);
TFile *fout;
fout = TFile::Open("prodQAhistos.root", "update");
if(!fout) fout = new TFile("prodQAhistos.root");
fout->cd();
list.Write();
tree->Write();
fout->Close();
return 0;
}
void Getvn2D(bool usingCNTEP=0){
TString str;
TFile *fin;
int nrun = GetTotalRun();
std::cout<<"Totally we have "<<nrun<<" runs/segments!"<<std::endl;
FillGoodRun();
std::cout<<"Filling Good run finished!"<<std::endl;
if(nrun<0) exit(1);
ofstream fout, foutraw, fout1, fout2;
int iharE=0;
if(nhar==1||nhar==2) iharE=1;
for(int icent=0;icent<ncent;icent++){
for(int ihar=0;ihar<nhar;ihar++){
if(icent!=0) continue;
for(int isub=0;isub<nsub;isub++){
int n = ihar+1.0+iharE;
str = choosesub(isub);
TString UseCNTEP;
if(str=="ABORT") continue;
if(usingCNTEP)
UseCNTEP = "UseCNTEP";
else
UseCNTEP = "NoUseCNTEP";
std::cout<<UseCNTEP<<std::endl;
std::cout<<"starting doing "<<str<<" v"<<n<<" analysis!"<<std::endl;
cout<<Form("Result/%s/res%d_%d_%s.dat",UseCNTEP.Data(),n,icent,str.Data())<<endl;
fout1.open(Form("Result/%s/res%d_%d_%s.dat",UseCNTEP.Data(),n,icent,str.Data())); //using str as event plane detector
fout2.open(Form("Result/%s/psi%d_%d_%s.dat",UseCNTEP.Data(),n,icent,str.Data())); //using str as event plane detector
float reso = GetReso(icent,ihar,isub,usingCNTEP);
fout1<<reso<<std::endl;
if(reso<0) {std::cout<<"resolution is wrong!"<<std::endl; reso = -9999;}
for(int irun=0;irun<nrun;irun++){
fout2<<GetRun(irun)<<" "<<GoodRunFit[icent][ihar][isub][irun]<<std::endl;
}
TH2F* hvobsall = new TH2F(Form("hvobs_%d_%d_%d",icent,ihar,isub),Form("hvobs_%d_%d_%d",icent,ihar,isub),60,0,6,220,-1.1,1.1);
// TH2F* hvobsallsq = new TH2F(Form("hvobssq_%d_%d_%d",icent,ihar,isub),Form("hvobssq_%d_%d_%d",icent,ihar,isub),60,0,6,220,-1.1,1.1);
for(int iphi=0;iphi<nphi+1;iphi++){
TH2F* hvobs = new TH2F(Form("hvobs_%d_%d_%d_%d",icent,ihar,isub,iphi),Form("hvobs_%d_%d_%d_%d",icent,ihar,isub,iphi),60,0,6,220,-1.1,1.1);
// TH2F* hvobssq = new TH2F(Form("hvobssq_%d_%d_%d_%d",icent,ihar,isub,iphi),Form("hvobssq_%d_%d_%d_%d",icent,ihar,isub,iphi),60,0,6,220,-1.1,1.1);
string phistr = (iphi==0)?"_east":"_west";
if(iphi==nphi) phistr = "";
cout<<"open v2 file"<<endl;
fout.open(Form("Result/%s/v%d_%d%s_%s.dat",UseCNTEP.Data(),n,icent,phistr.c_str(),str.Data())); //using str as event plane detector
cout<<"open v2raw file"<<endl;
foutraw.open(Form("Result/%s/v%draw_%d%s_%s.dat",UseCNTEP.Data(),n,icent,phistr.c_str(),str.Data())); //using str as event plane detector
if(iphi<nphi){
for(int irun=0;irun<nrun;irun++){
//std::cout<<"cent = "<<icent<<"; n = "<<n<<" ;isub = "<<str<<" ;run = "<<irun<<" "<<phistr<<std::endl;
//fin = TFile::Open(Form("/phenix/plhf/xuq/taxi/%s%s/%d/data/%s.root",dataset.Data(),pro.Data(),taxi,GetRun(irun).Data()));
//fin = TFile::Open(Form("/gpfs/mnt/gpfs02/phenix/plhf/plhf1/xuq/phenix/flow/Run16dAu/work/39GeV/output/%s",GetRun(irun).Data()));
fin = TFile::Open(Form("/gpfs/mnt/gpfs02/phenix/plhf/plhf1/xuq/phenix/flow/Run16dAu/work/39GeV/treeout/%s",GetRun(irun).Data()));
if(!(GoodRunFit[icent][ihar][isub][irun]>0.2 && GoodRunFit[icent][ihar][isub][irun]<3.0)){
std::cout<<"cent = "<<icent<<"; n = "<<n<<" ;isub = "<<str<<" ;run = "<<GetRun(irun)<<" is bad run!"<<std::endl;
fin->Close();
continue;
}
TH2F* hvobstemp = (TH2F*)fin->Get(Form("vobs%s_0_0_%d_%d_%d",str.Data(),icent,ihar,iphi));
//TH2F* hvobssqtemp = (TH2F*)fin->Get(Form("vobs%ssq_%d_%d_%d",str.Data(),icent,ihar,iphi));
hvobs->Add(hvobstemp);
//hvobssq->Add(hvobssqtemp);
fin->Close();
}
}
hvobsall->Add(hvobs);
//hvobsallsq->Add(hvobssq);
if(iphi==nphi){
hvobs = hvobsall;
//hvobssq = hvobsallsq;
}
TH1F* ptProj = (TH1F*)hvobs->ProjectionX(Form("hptProj"),0,-1);
for(int ipt=0;ipt<npt-1;ipt++){
int xbinmin = hvobs->GetXaxis()->FindBin(ptbin[ipt]+eps);
int xbinmax = hvobs->GetXaxis()->FindBin(ptbin[ipt+1]-eps);
// std::cout<<xbinmin<<" "<<xbinmax<<std::endl;
// std::cout<<ptbin[ipt]<<" "<<ptbin[ipt+1]<<std::endl;
TH1F* hvobsProj = (TH1F*)hvobs->ProjectionY(Form("hvobsProj_%d",ipt),xbinmin,xbinmax);
// TH1F* hvobssqProj = (TH1F*)hvobssq->ProjectionY(Form("hvobssqProj_%d",ipt),xbinmin,xbinmax);
float vobs = hvobsProj->GetMean();
float Ntracks = hvobsProj->Integral();
// float vobssq = hvobssqProj->GetMean();
float v = vobs/reso;
if(Ntracks>0)
float verr = hvobsProj->GetRMS()/reso/sqrt(Ntracks);
else verr = -9999;
// float verr = sqrt(vobssq/reso/reso-(v*v))/sqrt(Ntracks);
ptProj->GetXaxis()->SetRangeUser(ptbin[ipt]+eps,ptbin[ipt+1]-eps);
float pt = ptProj->GetMean();
fout<<pt<<" "<<v<<" "<<verr<<" "<<std::endl;
foutraw<<pt<<" "<<vobs<<" "<<verr*reso<<" "<<std::endl;
}
fout.close();
foutraw.close();
}
fout1.close();
fout2.close();
}
}
}
}
void readTree_background() {
Char_t *filename = "Background.root";
// Retrieve the TTree
TFile* myFile = TFile::Open(filename);
TTree* tree = (TTree*)(myFile->Get("tree"));
Double_t Et1, eta1, phi1, Et2, eta2, phi2;
tree->SetBranchAddress("Et1" ,&Et1 );
tree->SetBranchAddress("eta1",&eta1);
tree->SetBranchAddress("phi1",&phi1);
tree->SetBranchAddress("Et2" ,&Et2 );
tree->SetBranchAddress("eta2",&eta2);
tree->SetBranchAddress("phi2",&phi2);
// Book histograms
TH1F* hmass = new TH1F("hmass","m_{#gamma#gamma}",60,100.,160.);
hmass->GetXaxis()->SetTitle("Invariant mass [GeV]");
hmass->GetYaxis()->SetTitle("Events");
// Loop over the events
Long64_t events = tree->GetEntries();
for (int i=0; i<events; i++) {
tree->GetEntry(i);
TLorentzVector g1,g2;
g1.SetPtEtaPhiM(Et1,eta1,phi1,0.);
g2.SetPtEtaPhiM(Et2,eta2,phi2,0.);
TLorentzVector gg=g1+g2;
hmass->Fill( gg.M() );
}
// Test of different background options
hmass->DrawClone("e");
TCanvas* myCanvas = new TCanvas("myCanvas","Background fits",800,800);
myCanvas->Divide(2,2);
// Linear background
TF1* myBack1 = new TF1("myBack1","[0]+[1]*x",100.,160.);
myBack1->SetParameter(0,events);
myBack1->SetParameter(1,-100.);
myCanvas->cd(1);
hmass->Fit(myBack1);
hmass->DrawClone("e");
EvaluatePvalue(myBack1);
// Quadratic background
TF1* myBack2 = new TF1("myBack2","[0]+[1]*x+[2]*x**2",100.,160.);
myBack2->SetParameter(0,events);
myBack2->SetParameter(1,-100.);
myBack2->SetParameter(1,0.);
myCanvas->cd(2);
hmass->Fit(myBack2);
hmass->DrawClone("e");
EvaluatePvalue(myBack2);
// Exponential background
TF1* myBack3 = new TF1("myBack3","[0]*exp(-x/[1])",100.,160.);
myBack3->SetParameter(0,events);
myBack3->SetParameter(1,100.);
myCanvas->cd(3);
hmass->Fit(myBack3);
hmass->DrawClone("e");
EvaluatePvalue(myBack3);
// Cubic background
TF1* myBack4 = new TF1("myBack4","[0]+[1]*x+[2]*x**2+[3]*x**3",100.,160.);
myBack4->SetParameter(0,0.);
myBack4->SetParameter(1,0.);
myBack4->SetParameter(2,0.);
myBack4->SetParameter(3,0.);
myCanvas->cd(4);
TFitResultPtr fit4 = hmass->Fit(myBack4,"S");
hmass->DrawClone("e");
EvaluatePvalue(myBack4);
}
void fake()
{
gROOT->SetBatch();
gROOT->SetStyle("Plain");
gStyle->SetOptStat(0);
SetStyle();
TCanvas *c1 = new TCanvas("c1","c1",0,0,600,500);
c1->Draw();
c1->cd();
TPad *c1_1;
gStyle->SetHistTopMargin(0);
TLegend *leg = new TLegend(0.65,0.90,0.90,0.70);
leg->SetFillColor(253);
leg->SetBorderSize(0);
std::string fpath = "histTEST_MERGED/QCD_Pt_170to300_TuneCUETP8M1_13TeV_pythia8/data.root";
// std::string histnameFake = "h_muFake_pt";
// std::string histnameReal = "h_muReal_pt";
// std::string histnameFake = "h_muFake_trackerLayersWithMeasurement";
// std::string histnameReal = "h_muReal_trackerLayersWithMeasurement";
// std::string histnameFake = "h_muFake_numberOfValidMuonHits";
// std::string histnameReal = "h_muReal_numberOfValidMuonHits";
// std::string histnameFake = "h_muFake_numberOfMatches";
// std::string histnameReal = "h_muReal_numberOfMatches";
// std::string histnameFake = "h_muFake_numberOfMatchedStations";
// std::string histnameReal = "h_muReal_numberOfMatchedStations";
// std::string histnameFake = "h_muFake_numberOfValidHits";
// std::string histnameReal = "h_muReal_numberOfValidHits";
// std::string histnameFake = "h_muFake_numberOfValidPixelHits";
// std::string histnameReal = "h_muReal_numberOfValidPixelHits";
std::string histnameFake = "h_muFake_numberOfHits";
std::string histnameReal = "h_muReal_numberOfHits";
// std::string histnameFake = "h_muFake_normalizedChi2GlobalTrack";
// std::string histnameReal = "h_muReal_normalizedChi2GlobalTrack";
// std::string histnameFake = "h_muFake_normalizedChi2InnerTrack";
// std::string histnameReal = "h_muReal_normalizedChi2InnerTrack";
TFile *f;
TH1D *hFake;
TH1D *hReal;
f = TFile::Open(fpath.c_str());
{
TH1D *hFake_c = (TH1D*)f->Get(histnameFake.c_str());
hFake_c->SetMarkerSize(0.0);
TH1D *hReal_c = (TH1D*)f->Get(histnameReal.c_str());
hReal_c->SetMarkerSize(0.0);
hFake = (TH1D*)hFake_c->Clone("hFake");
hReal = (TH1D*)hReal_c->Clone("hReal");
}
addbin(hFake);
addbin(hReal);
std::cout << hReal->Integral() << std::endl;
std::cout << hFake->Integral() << std::endl;
double iFake = hFake->Integral();
double iReal = hReal->Integral();
// double iAll = iFake+iReal;
// hFake->Scale(1./iAll);
// hReal->Scale(1./iAll);
hFake->SetLineColor(9);
hFake->SetFillColor(9);
hReal->SetLineColor(46);
hReal->SetFillColor(46);
THStack *hst = new THStack();
hst->Add(hReal);
hst->Add(hFake);
hst->Draw("hist e1");
float max = hst->GetMaximum();
hst->SetMaximum(1.3*max);
hst->SetMinimum(0.);
if( histnameFake == "h_muFake_pt" ) hst->GetXaxis()->SetTitle("p_{T} [GeV]");
hst->GetYaxis()->SetTitle("Number of muons");
leg->AddEntry(hFake,"Fake","f");
leg->AddEntry(hReal,"Real","f");
leg->Draw();
c1->Print("pics/fake.eps");
c1->Clear();
TH1F *hRealScaled = (TH1F*)hReal->Clone("hRealScaled");
hRealScaled->Scale(1./iReal);
TH1F *hFakeScaled = (TH1F*)hFake->Clone("hFakeScaled");
hFakeScaled->Scale(1./iFake);
hFakeScaled->SetLineColor(9);
hFakeScaled->SetFillColor(0);
hRealScaled->SetLineColor(46);
hRealScaled->SetFillColor(0);
hRealScaled->Draw("hist e1");
hFakeScaled->Draw("hist e1 same");
float max1 = hRealScaled->GetMaximum();
float max2 = hFakeScaled->GetMaximum();
max = (max1 > max2) ? max1 : max2;
hRealScaled->SetMaximum(1.3*max);
hRealScaled->SetMinimum(0.);
if( histnameFake == "h_muFake_pt" ) hRealScaled->GetXaxis()->SetTitle("p_{T} [GeV]");
if( histnameFake == "h_muFake_trackerLayersWithMeasurement" ) hRealScaled->GetXaxis()->SetTitle("trackerLayersWithMeasurement");
if( histnameFake == "h_muFake_numberOfValidMuonHits" ) hRealScaled->GetXaxis()->SetTitle("numberOfValidMuonHits");
if( histnameFake == "h_muFake_numberOfMatches" ) hRealScaled->GetXaxis()->SetTitle("numberOfMatches");
if( histnameFake == "h_muFake_numberOfMatchedStations" ) hRealScaled->GetXaxis()->SetTitle("numberOfMatchedStations");
if( histnameFake == "h_muFake_numberOfValidHits" ) hRealScaled->GetXaxis()->SetTitle("numberOfValidHits");
if( histnameFake == "h_muFake_numberOfValidPixelHits" ) hRealScaled->GetXaxis()->SetTitle("numberOfValidPixelHits");
if( histnameFake == "h_muFake_numberOfHits" ) hRealScaled->GetXaxis()->SetTitle("numberOfHits");
if( histnameFake == "h_muFake_normalizedChi2GlobalTrack" ) hRealScaled->GetXaxis()->SetTitle("normalizedChi2GlobalTrack");
if( histnameFake == "h_muFake_normalizedChi2InnerTrack" ) hRealScaled->GetXaxis()->SetTitle("normalizedChi2InnerTrack");
hRealScaled->GetYaxis()->SetTitle("Normalized to unity");
leg->Draw();
c1->Print("pics/fakeComp.eps");
c1->Clear();
gApplication->Terminate();
}
void plotFit(TString filename = "fp-d", TString pltmd = "tph") {
// CHECK FOR RIGHT INPUT ////////////////////////////////////////////////
string strpltmd = pltmd;
if( strpltmd.compare("tph") != 0 &&
strpltmd.compare("s2b") != 0 &&
strpltmd.compare("mmp") != 0 ) {error(4);};
// OPEN THE ROOT FILE //////////////////////////////////////////////////
gROOT->Reset();
gROOT->SetStyle("Plain");
gStyle->SetTitleBorderSize(0);
gStyle->SetPalette(1);
TCanvas *MyC = new TCanvas("MyC","Plot of the GAPP fit",200,10,700,500);
// Still to do: Automate the frame boundaries.
string strfile = filename, rootname = strfile + ".root";
TFile *rootfile = TFile::Open(rootname.c_str());
if(rootfile == NULL) error(1);
TTree *tree = (TTree*)rootfile->Get(strfile.c_str());
if(tree == NULL) error(2);
TBranch *fits2bbranch = (TBranch*)tree->GetBranch("fits2b");
TBranch *fittphbranch = (TBranch*)tree->GetBranch("fittph");
TBranch *fitxbranch = (TBranch*)tree->GetBranch("fitx");
if( (fits2bbranch == NULL) || (fittphbranch == NULL) || (fitxbranch == NULL) ) error(3);
Float_t fits2b, fittph, fitx;
tree->SetBranchAddress("fits2b",&fits2b);
tree->SetBranchAddress("fittph",&fittph);
tree->SetBranchAddress("fitx", &fitx);
// GET GRID /////////////////////////////////////////////////////////////
Int_t Npoints = (Int_t)tree->GetEntries();
Int_t point, zSteps = 0, ySteps = 0;
Float_t fitxMin = 100000, fitxMax = -1.0, s2bMin = 100000, tphMin = 100000;
Float_t s2bMax = -1.0, tphMax = -1.0;
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
if( fits2b > s2bMax ) {zSteps++; s2bMax = fits2b;}
if( fittph > tphMax ) {ySteps++; tphMax = fittph;}
};
const int s2bSteps = zSteps, tphSteps = ySteps, mmpSteps = Npoints;
Float_t s2bValues[s2bSteps], tphValues[tphSteps];
s2bMax = -1.0, tphMax = -1.0;
int s2bStep = 0, tphStep = 0;
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
if( fits2b > s2bMax ) {s2bValues[s2bStep] = fits2b; s2bStep++; s2bMax = fits2b;}
if( fittph > tphMax ) {tphValues[tphStep] = fittph; tphStep++; tphMax = fittph;}
};
// PREPARE PLOT /////////////////////////////////////////////////////////
string plottitle = "Model: " + strfile + " | Plot: ";
if( strpltmd.compare("tph") == 0 ) {
plottitle += "tan^{2}(#phi) over x for fixed sin^{2}(2#beta)";
}
if( strpltmd.compare("s2b") == 0 ) {
plottitle += "sin^{2}(2#beta) over x for fixed tan^{2}(#phi)";
}
if( strpltmd.compare("mmp") == 0 ) {
plottitle += "Masses of the new heavy gauge bosons";
}
// PLOT DATA ///////////////////////////////////////////////////////////
if (strpltmd.compare("tph") == 0) {
tphMax = -1.0;
// TGraph *tphplots[s2bSteps];
TGraph *tphplots[s2bSteps-30];
// for(s2bStep=0; s2bStep<s2bSteps; s2bStep++) {
for(s2bStep=0; s2bStep<s2bSteps-30; s2bStep++) {
Float_t tphArray[tphSteps], fitxArray[tphSteps];
tphStep = 0;
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
if(fits2b == s2bValues[s2bStep]) {
// tphArray[tphStep] = fittph;
tphArray[tphStep] = sqrt(1.0/(1.0+fittph));
if (fittph < tphMin) tphMin = fittph;
if (fittph > tphMax) tphMax = fittph;
fitxArray[tphStep] = fitx;
if (fitx < fitxMin) fitxMin = fitx;
if (fitx > fitxMax) fitxMax = fitx;
tphStep++;
TMarker *m = new TMarker(fitxArray[tphStep],tphArray[tphStep],20);
m->SetMarkerSize(2);
m->SetMarkerColor(31+tphStep);
m->Draw();
}
}
if (s2bStep == 0) {
TH1F* frame = MyC->DrawFrame(0.0,0.0,1.1*fitxMax,1.1);
// TH1F* frame = MyC->DrawFrame(0.7*fitxMin,0.7*tphMin,1.1*fitxMax,1.1*tphMax);
TAxis *xaxis = frame->GetXaxis();
TAxis *yaxis = frame->GetYaxis();
xaxis->SetTitle("x = u^{2}/v^{2}");
xaxis->CenterTitle();
xaxis->SetTitleOffset(1.);
xaxis->SetDecimals();
xaxis->SetLabelSize(0.03);
xaxis->SetLabelOffset(0.01);
yaxis->SetTitle("tan^{2}(#phi)");
yaxis->CenterTitle();
yaxis->SetTitleOffset(1.);
yaxis->SetDecimals();
yaxis->SetLabelSize(0.03);
yaxis->SetLabelOffset(0.01);
frame->SetTitle(plottitle.c_str());
}
tphplots[s2bStep] = new TGraph(tphSteps,fitxArray,tphArray);
tphplots[s2bStep]->SetMarkerStyle(20);
tphplots[s2bStep]->SetMarkerSize(0.4);
tphplots[s2bStep]->Draw("CP");
}
}
else if (strpltmd.compare("s2b") == 0) {
s2bMax = -1.0;
TGraph *s2bplots[tphSteps-100];
for(tphStep=0; tphStep<tphSteps-100; tphStep++) {
Float_t s2bArray[s2bSteps], fitxArray[s2bSteps];
s2bStep = 0;
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
if(fittph == tphValues[tphStep+20]) {
s2bArray[s2bStep] = fits2b;
if (fits2b < s2bMin) s2bMin = fits2b;
if (fits2b > s2bMax) s2bMax = fits2b;
fitxArray[s2bStep] = fitx;
if (fitx < fitxMin) fitxMin = fitx;
if (fitx > fitxMax) fitxMax = fitx;
s2bStep++;
}
}
if (tphStep == 0) {
TH1F* frame = MyC->DrawFrame(0.8*fitxMin,0.95*s2bMin,1.2*fitxMax,1.05*s2bMax);
TAxis *xaxis = frame->GetXaxis();
TAxis *yaxis = frame->GetYaxis();
xaxis->SetTitle("x = u^{2}/v^{2}");
xaxis->CenterTitle();
xaxis->SetTitleOffset(1.);
xaxis->SetDecimals();
xaxis->SetLabelSize(0.03);
xaxis->SetLabelOffset(0.01);
yaxis->SetTitle("sin^{2}(2#beta)");
yaxis->CenterTitle();
yaxis->SetTitleOffset(1.25);
yaxis->SetDecimals();
yaxis->SetLabelSize(0.03);
yaxis->SetLabelOffset(0.01);
frame->SetTitle(plottitle.c_str());
}
s2bplots[tphStep] = new TGraph(s2bSteps,fitxArray,s2bArray);
s2bplots[tphStep]->SetMarkerStyle(20);
s2bplots[tphStep]->SetMarkerSize(0.4);
s2bplots[tphStep]->Draw("C");
}
}
else if (strpltmd.compare("mmp") == 0) {
Float_t mzpArray[mmpSteps], mwpArray[mmpSteps];
Float_t mzpMin = 100000, mzpMax = -1.0, mwpMin = 100000, mwpMax = -1.0;
Float_t fitsph, fitcph;
Float_t Cz1, Cz2, Cz3, Cw1, Cw2, Cw3, Cw4, C1, C2;
string mdl(strfile,0,2);
if ( (mdl.compare("lr") == 0) ||
(mdl.compare("lp") == 0) ||
(mdl.compare("hp") == 0) ||
(mdl.compare("fp") == 0) ) {
string Higgs(strfile,3,1);
if (Higgs.compare("d") == 0) {
Cz1 = 11.95349795785275;
Cz2 = 30.63269990028513;
Cz3 = 42.58619785813789;
Cw1 = 21.29309892906894;
Cw2 = 9.339600971216193;
Cw3 = 30.63269990028513;
Cw4 = 42.58619785813789;
}
else if (Higgs.compare("t") == 0) {
Cz1 = 5.976748978926375;
Cz2 = 30.63269990028513;
Cz3 = 85.17239571627579;
Cw1 = 15.05649464522066;
Cw2 = 3.302047590161717;
Cw3 = 21.66058982554409;
Cw4 = 60.22597858088265;
} else {error(6);}
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
fitsph = fittph / (1.0 + fittph);
fitcph = 1.0 - fitsph;
if (fitsph != 0.0) {
mzpArray[point] = (0.001/sqrt(fitsph*fitcph*fitx)) * (Cz1*fitcph*fitcph + Cz2*fits2b + Cz3*fitx);
if (mzpArray[point] < mzpMin) mzpMin = mzpArray[point];
if (mzpArray[point] > mzpMax) mzpMax = mzpArray[point];
mwpArray[point] = (0.001/sqrt(fitsph*fitx)) * (Cw1 - Cw2*fitcph*fitcph + Cw3*fits2b + Cw4*fitx);
if (mwpArray[point] < mwpMin) mwpMin = mwpArray[point];
if (mwpArray[point] > mwpMax) mwpMax = mwpArray[point];
} else {
mzpArray[point] = 0.0;
mwpArray[point] = 0.0;
}
}
}
else if ( (mdl.compare("uu") == 0) ||
(mdl.compare("nu") == 0) ) {
C1 = 94.0397928463607
C2 = 77.1253849720165
for(point=0; point<Npoints; point++) {
tree->GetEntry(point);
fitsph = fittph / (1.0+fittph);
fitcph = 1.0 - fitsph;
if (fitsph != 0.0) {
mzpArray[point] = (0.001/sqrt(fitsph*fitcph*fitx)) * (C1*fitsph*fitsph + C2*fitx);
if (mzpArray[point] < mzpMin) mzpMin = mzpArray[point];
if (mzpArray[point] > mzpMax) mzpMax = mzpArray[point];
mwpArray[point] = (0.001/sqrt(fitsph*fitcph*fitx)) * (C1*fitsph*fitsph + C2*fitx);
if (mwpArray[point] < mwpMin) mwpMin = mwpArray[point];
if (mwpArray[point] > mwpMax) mwpMax = mwpArray[point];
} else {
mzpArray[point] = 0.0;
mwpArray[point] = 0.0;
}
}
}
void DoEvolutions( const TString &sim, Int_t time, Int_t Nbins=1, const TString &options="") {
#ifdef __CINT__
gSystem->Load("libptools.so");
#endif
PGlobals::Initialize();
// Palettes!
gROOT->Macro("PPalettes.C");
TString opt = options;
// cout << "options = " << opt << endl;
// Load PData
PData *pData = PData::Get(sim.Data());
pData->LoadFileNames(time);
if(!pData->IsInit()) return;
Bool_t CYL = kFALSE;
if(sim.Contains("cyl")) { CYL = kTRUE; opt += "cyl"; }
Bool_t ThreeD = kFALSE;
if(sim.Contains("3D")) ThreeD = kTRUE;
// Some plasma constants
Double_t n0 = pData->GetPlasmaDensity();
Double_t kp = pData->GetPlasmaK();
Double_t skindepth = 1.0;
if(kp!=0.0) skindepth = 1/kp;
Double_t E0 = pData->GetPlasmaE0();
// Some initial beam properties:
Float_t Ebeam = pData->GetBeamEnergy() * PUnits::MeV;
Float_t gamma = pData->GetBeamGamma();
Float_t vbeam = pData->GetBeamVelocity();
Double_t rms0 = pData->GetBeamRmsY() * kp;
if(CYL) rms0 = pData->GetBeamRmsR() * kp;
// Time in OU
Float_t Time = pData->GetRealTime();
// z start of the plasma in normalized units.
Float_t zStartPlasma = pData->GetPlasmaStart() * kp;
// z start of the beam in normalized units.
Float_t zStartBeam = pData->GetBeamStart() * kp;
if(opt.Contains("center")) {
Time -= zStartPlasma;
if(opt.Contains("comov")) // Centers on the head of the beam.
Time += zStartBeam;
}
// Beam charge 2D and 1D histogram (on-axis)
// ------------------------------------------------------------------
TH2F *hDen2D = NULL;
if(pData->GetChargeFileName(1)) {
char hName[24];
sprintf(hName,"hDen2D");
hDen2D = (TH2F*) gROOT->FindObject(hName);
if(hDen2D) { delete hDen2D; hDen2D = NULL; }
if(!ThreeD)
hDen2D = pData->GetCharge(1,opt);
else
hDen2D = pData->GetCharge2DSliceZY(1,-1,1,opt+"avg");
hDen2D->SetName(hName);
hDen2D->GetXaxis()->CenterTitle();
hDen2D->GetYaxis()->CenterTitle();
hDen2D->GetZaxis()->CenterTitle();
if(opt.Contains("comov"))
hDen2D->GetXaxis()->SetTitle("k_{p}#zeta");
else
hDen2D->GetXaxis()->SetTitle("k_{p}z");
if(CYL)
hDen2D->GetYaxis()->SetTitle("k_{p}r");
else
hDen2D->GetYaxis()->SetTitle("k_{p}y");
hDen2D->GetZaxis()->SetTitle("n_{b}/n_{0}");
}
// Define ranges from the charge 2D histogram:
// Binning for 2D histograms:
// We get this values from the 2D density histogram.
Int_t x1Nbin = hDen2D->GetNbinsX();
Float_t x1Range = (hDen2D->GetXaxis()->GetXmax() - hDen2D->GetXaxis()->GetXmin());
Float_t x1Mid = (hDen2D->GetXaxis()->GetXmax() + hDen2D->GetXaxis()->GetXmin())/2.;
Float_t x1Min = hDen2D->GetXaxis()->GetXmin();
Float_t x1Max = hDen2D->GetXaxis()->GetXmax();
Int_t x2Nbin = hDen2D->GetNbinsY();
Float_t x2Range = (hDen2D->GetYaxis()->GetXmax() - hDen2D->GetYaxis()->GetXmin());
Float_t x2Mid = (hDen2D->GetYaxis()->GetXmax() + hDen2D->GetYaxis()->GetXmin())/2.;
Float_t x2Min = x2Mid - x2Range/2;
Float_t x2Max = x2Mid + x2Range/2;
if(Nbins==0) {
Nbins = TMath::Nint(rms0 / hDen2D->GetYaxis()->GetBinWidth(1)) ;
// cout << Form(" Rms0 = %6.2f Dx = %6.2f Nbins = %4i .",
// rms0, hDen2D->GetYaxis()->GetBinWidth(1), Nbins) << endl;
}
// Slice width limits.
Int_t FirstyBin = 0;
Int_t LastyBin = 0;
if(!CYL) {
FirstyBin = hDen2D->GetNbinsY()/2 + 1 - Nbins;
LastyBin = hDen2D->GetNbinsY()/2 + Nbins;
} else {
FirstyBin = 1;
LastyBin = Nbins;
}
// OUTPUT ROOT FILE WITH THE PLOTS:
TString filename = Form("./%s/Plots/Evolutions/Evolutions-%s.root",sim.Data(),sim.Data());
TFile * ifile = (TFile*) gROOT->GetListOfFiles()->FindObject(filename);
// if doesn't exist the directory should be created
if (!ifile) {
TString f = filename;
TString dir2 = f.Remove( f.Last( '/' ), f.Length() - f.Last( '/' ) );
TString dir1 = f.Remove( f.Last( '/' ), f.Length() - f.Last( '/' ) );
gSystem->mkdir( dir1 );
gSystem->mkdir( dir2 );
ifile = new TFile(filename,"UPDATE");
}
// Charge 1D histogram on axis
TH1F *hDen1D = NULL;
if(pData->GetChargeFileName(1)) {
TString opth1 = opt;
opth1 += "avg";
char hName[24];
sprintf(hName,"hDen1D");
hDen1D = (TH1F*) gROOT->FindObject(hName);
if(hDen1D) delete hDen1D;
if(ThreeD) {
hDen1D = pData->GetH1SliceZ3D(pData->GetChargeFileName(1)->c_str(),"charge",-1,Nbins,-1,Nbins,opth1.Data());
} else if(CYL) { // Cylindrical: The first bin with r>0 is actually the number 1 (not the 0).
hDen1D = pData->GetH1SliceZ(pData->GetChargeFileName(1)->c_str(),"charge",1,Nbins,opth1.Data());
} else { // 2D cartesian
hDen1D = pData->GetH1SliceZ(pData->GetChargeFileName(1)->c_str(),"charge",-1,Nbins,opth1.Data());
}
hDen1D->SetName(hName);
if(opt.Contains("comov"))
hDen1D->GetXaxis()->SetTitle("k_{p}#zeta");
else
hDen1D->GetXaxis()->SetTitle("k_{p}z");
hDen1D->GetYaxis()->SetTitle("n_{b}/n_{0}");
}
// On-axis beam density vs \zeta vs time! _________________________________
TH2F *hDen1DvsTime = NULL;
if(hDen1D) {
char hName[24];
sprintf(hName,"hDen1DvsTime");
TH2F *hDen1DvsTimeOld = (TH2F*) ifile->Get(hName);
Int_t nBins = 1;
Float_t edge0 = Time-0.5;
Float_t edge1 = Time+0.5;
if(hDen1DvsTimeOld!=NULL) {
nBins = hDen1DvsTimeOld->GetNbinsX()+1;
Float_t binwidth = (Time - hDen1DvsTimeOld->GetXaxis()->GetBinCenter(1))/(nBins-1);
edge0 = hDen1DvsTimeOld->GetXaxis()->GetBinCenter(1) - binwidth/2.;
edge1 = Time + binwidth/2.;
}
hDen1DvsTime = new TH2F("temp","",nBins,edge0,edge1,
hDen1D->GetNbinsX(),
hDen1D->GetBinLowEdge(1),
hDen1D->GetBinLowEdge(hDen1D->GetNbinsX()+1));
for(Int_t ix=1;ix<hDen1DvsTime->GetNbinsX();ix++) {
for(Int_t iy=1;iy<hDen1DvsTime->GetNbinsY();iy++) {
hDen1DvsTime->SetBinContent(ix,iy,hDen1DvsTimeOld->GetBinContent(ix,iy));
}
}
delete hDen1DvsTimeOld;
// Fill last bin with the newest values.
for(Int_t iy=1;iy<=hDen1D->GetNbinsX();iy++) {
hDen1DvsTime->SetBinContent(nBins,iy,hDen1D->GetBinContent(iy));
}
hDen1DvsTime->GetZaxis()->SetTitle("n_{b}/n_{0}");
hDen1DvsTime->GetYaxis()->SetTitle("k_{p}#zeta");
hDen1DvsTime->GetXaxis()->SetTitle("k_{p}z");
hDen1DvsTime->GetZaxis()->CenterTitle();
hDen1DvsTime->GetYaxis()->CenterTitle();
hDen1DvsTime->GetXaxis()->CenterTitle();
hDen1DvsTime->SetName(hName);
// Change the range of z axis
Float_t Denmax = hDen1DvsTime->GetMaximum();
hDen1DvsTime->GetZaxis()->SetRangeUser(0,Denmax);
hDen1DvsTime->Write(hName,TObject::kOverwrite);
}
// RMS (vs z) of the beam's charge distribution:
TProfile *hDen2Dprof = NULL;
TH1F *hRms = NULL;
Double_t axisPos = x2Mid;
if(hDen2D) {
TString pname = hDen2D->GetName();
pname += "_pfx";
hDen2Dprof = (TProfile*) gROOT->FindObject(pname.Data());
if(hDen2Dprof) { delete hDen2Dprof; hDen2Dprof = NULL; }
hDen2Dprof = hDen2D->ProfileX("_pfx",1,-1,"s");
hRms = (TH1F*) gROOT->FindObject("hRms");
if(hRms) delete hRms;
hRms = new TH1F("hRms","",x1Nbin,x1Min,x1Max);
if(CYL) axisPos = 0.0;
for(Int_t j=0;j<hRms->GetNbinsX();j++) {
Double_t rms = 0;
Double_t total = 0;
for(Int_t k=1;k<=x2Nbin;k++) {
Double_t value = hDen2D->GetBinContent(j,k);
Double_t radius = hDen2D->GetYaxis()->GetBinCenter(k) - axisPos;
if(CYL) {
rms += radius*radius*radius*value;
total += radius*value;
} else {
rms += radius*radius*value;
total += value;
}
// cout << Form(" (%i,%i) -> radius = %7.4f , density = %7.4f",j,k,radius,value) << endl;
}
rms /= total;
rms = sqrt(rms);
hRms->SetBinContent(j,rms);
}
hRms->GetXaxis()->SetTitle("k_{p}z");
if(opt.Contains("comov"))
hRms->GetXaxis()->SetTitle("k_{p}#zeta");
hRms->GetYaxis()->SetTitle("k_{p}#LTr#GT_{rms}");
}
// Transverse charge RMS vs \zeta vs time! _________________________________
TH2F *hRmsvsTime = NULL;
if(hRms) {
char hName[24];
sprintf(hName,"hRmsvsTime");
TH2F *hRmsvsTimeOld = (TH2F*) ifile->Get(hName);
Int_t nBins = 1;
Float_t edge0 = Time-0.5;
Float_t edge1 = Time+0.5;
if(hRmsvsTimeOld!=NULL) {
nBins = hRmsvsTimeOld->GetNbinsX()+1;
Float_t binwidth = (Time - hRmsvsTimeOld->GetXaxis()->GetBinCenter(1))/(nBins-1);
edge0 = hRmsvsTimeOld->GetXaxis()->GetBinCenter(1) - binwidth/2.;
edge1 = Time + binwidth/2.;
}
hRmsvsTime = new TH2F("temp","",nBins,edge0,edge1,
hRms->GetNbinsX(),
hRms->GetBinLowEdge(1),
hRms->GetBinLowEdge(hRms->GetNbinsX()+1));
for(Int_t ix=1;ix<hRmsvsTime->GetNbinsX();ix++) {
for(Int_t iy=1;iy<hRmsvsTime->GetNbinsY();iy++) {
hRmsvsTime->SetBinContent(ix,iy,hRmsvsTimeOld->GetBinContent(ix,iy));
}
}
delete hRmsvsTimeOld;
// Fill last bin with the newest values.
for(Int_t iy=1;iy<=hRms->GetNbinsX();iy++) {
hRmsvsTime->SetBinContent(nBins,iy,hRms->GetBinContent(iy));
}
hRmsvsTime->GetZaxis()->SetTitle("#LTr#GT_{rms}");
hRmsvsTime->GetYaxis()->SetTitle("k_{p}#zeta");
hRmsvsTime->GetXaxis()->SetTitle("k_{p}z");
hRmsvsTime->GetZaxis()->CenterTitle();
hRmsvsTime->GetYaxis()->CenterTitle();
hRmsvsTime->GetXaxis()->CenterTitle();
hRmsvsTime->SetName(hName);
// Change the range of z axis
Float_t Rmsmax = hRmsvsTime->GetMaximum();
hRmsvsTime->GetZaxis()->SetRangeUser(0,Rmsmax);
hRmsvsTime->Write(hName,TObject::kOverwrite);
}
// INTEGRATED Beam's Charge:
// Total charge vs time :
TGraph *gQvsTime = NULL;
if(hDen2D) {
Double_t Q = 0;
for(Int_t i=1;i<=x1Nbin;i++) {
for(Int_t j=1;j<=x2Nbin;j++) {
Double_t value = hDen2D->GetBinContent(i,j);
if(CYL) {
Double_t radius = hDen2D->GetYaxis()->GetBinCenter(j);
Q += radius * value;
// cout << Form(" (%i,%i) -> radius = %7.4f , value = %7.4f",i,j,radius,value) << endl;
} else {
Q += value;
}
}
}
Double_t xbinsize = hDen2D->GetXaxis()->GetBinWidth(1);
Double_t ybinsize = hDen2D->GetYaxis()->GetBinWidth(1);
Q *= xbinsize * ybinsize;
if(!CYL && !ThreeD) {
Q *= TMath::Sqrt(2*TMath::Pi()) * rms0;
} else if(CYL) {
Q *= 2*TMath::Pi();
}
if(opt.Contains("units")) {
Double_t dV = skindepth * skindepth * skindepth;
Q *= n0 * dV;
Q *= (PConst::ElectronCharge/PUnits::picocoulomb);
cout << Form(" Integrated charge = %8i pC", TMath::Nint(Q)) << endl;
} else {
cout << Form(" Integrated charge = %8.4f n0 * kp^-3",Q) << endl;
}
Int_t nPoints = 0;
char gName[32];
sprintf(gName,"gQvsTime");
gQvsTime = (TGraph*) ifile->Get(gName);
if(gQvsTime==NULL) {
gQvsTime = new TGraph();
gQvsTime->SetName(gName);
nPoints = 0;
// Some cosmetics at creation time:
gQvsTime->SetLineWidth(3);
gQvsTime->SetLineColor(PGlobals::fieldLine);
gQvsTime->SetMarkerStyle(20);
gQvsTime->SetMarkerSize(0.4);
gQvsTime->SetMarkerColor(PGlobals::fieldLine);
gQvsTime->GetYaxis()->SetTitle("charge [n_{0}/k_{p}^{3}]");
gQvsTime->GetXaxis()->SetTitle("k_{p}z");
} else {
nPoints = gQvsTime->GetN();
}
gQvsTime->Set(nPoints+1);
gQvsTime->SetPoint(nPoints,Time,Q);
gQvsTime->Write(gName,TObject::kOverwrite);
}
// ------------------------------------------------------------------------------------
// Longitudinal phasespace
Int_t gNbin = 100;
// Float_t gMin = 80;
// Float_t gMax = 120;
Float_t gMin = 43.07 - 1.2;
Float_t gMax = 43.07 + 1.2;
TH2F *hGvsZ = NULL;
if(pData->GetRawFileName(1)) {
char hName[24];
sprintf(hName,"hGvsZ");
hGvsZ = (TH2F*) gROOT->FindObject(hName);
if(hGvsZ) { delete hGvsZ; hGvsZ = NULL; }
hGvsZ = new TH2F(hName,"",x1Nbin,x1Min,x1Max,gNbin,gMin,gMax);
pData->GetH2Raw(pData->GetRawFileName(1)->c_str(),"x1","gamma",hGvsZ,opt);
hGvsZ->GetXaxis()->CenterTitle();
hGvsZ->GetYaxis()->CenterTitle();
hGvsZ->GetZaxis()->CenterTitle();
hGvsZ->GetYaxis()->SetTitle("#gamma");
if(opt.Contains("comov")) {
hGvsZ->GetXaxis()->SetTitle("k_{p}#zeta");
hGvsZ->GetZaxis()->SetTitle("dN/d#zetad#gamma [a.u.]");
} else {
hGvsZ->GetXaxis()->SetTitle("k_{p}z");
hGvsZ->GetZaxis()->SetTitle("dN/dzd#gamma [a.u.]");
}
} else {
cout << Form("--> No RAW data file is present for species 1") << endl;
}
TH2F *hGvsTime = NULL;
TProfile *hGvsZprof = NULL;
TGraphErrors *gGvsZ = NULL;
if(hGvsZ) {
TString pname = hGvsZ->GetName();
pname += "_pfx";
hGvsZprof = (TProfile*) gROOT->FindObject(pname.Data());
if(hGvsZprof) delete hGvsZprof;
hGvsZprof = hGvsZ->ProfileX("_pfx",1,-1,"s");
gGvsZ = (TGraphErrors*) gROOT->FindObject("gGvsZ");
if(gGvsZ) delete gGvsZ;
Int_t Npoints = hGvsZprof->GetNbinsX();
Double_t *x = new Double_t[Npoints];
Double_t *y = new Double_t[Npoints];
Double_t *ex = new Double_t[Npoints];
Double_t *ey = new Double_t[Npoints];
for(Int_t j=0;j<Npoints;j++) {
x[j] = hGvsZprof->GetBinCenter(j);
y[j] = hGvsZprof->GetBinContent(j);
ex[j] = 0;
ey[j] = hGvsZprof->GetBinError(j);
}
gGvsZ = new TGraphErrors(Npoints,x,y,ex,ey);
gGvsZ->SetName("gGvsZ");
// PGlobals::SetH1Style((TH1*)gGvsZ,1);
PGlobals::SetGraphStyle(gGvsZ,1);
if(opt.Contains("comov"))
gGvsZ->GetXaxis()->SetTitle("k_{p}#zeta");
else
gGvsZ->GetXaxis()->SetTitle("k_{p}z");
gGvsZ->GetYaxis()->SetTitle("#LT#gamma#GT [MeV]");
char hName[24];
sprintf(hName,"hGvsTime");
TH2F *hGvsTimeOld = (TH2F*) ifile->Get(hName);
Int_t nBins = 1;
Float_t edge0 = Time-0.5;
Float_t edge1 = Time+0.5;
if(hGvsTimeOld!=NULL) {
nBins = hGvsTimeOld->GetNbinsX()+1;
Float_t binwidth = (Time - hGvsTimeOld->GetXaxis()->GetBinCenter(1))/(nBins-1);
edge0 = hGvsTimeOld->GetXaxis()->GetBinCenter(1) - binwidth/2.;
edge1 = Time + binwidth/2.;
}
hGvsTime = new TH2F("temp","",nBins,edge0,edge1,
hGvsZprof->GetNbinsX(),
hGvsZprof->GetBinLowEdge(1),
hGvsZprof->GetBinLowEdge(hGvsZprof->GetNbinsX()+1));
for(Int_t ix=1;ix<hGvsTime->GetNbinsX();ix++) {
for(Int_t iy=1;iy<hGvsTime->GetNbinsY();iy++) {
hGvsTime->SetBinContent(ix,iy,hGvsTimeOld->GetBinContent(ix,iy));
}
}
delete hGvsTimeOld;
// Fill last bin with the newest values.
for(Int_t iy=1;iy<=hGvsZprof->GetNbinsX();iy++) {
hGvsTime->SetBinContent(nBins,iy,hGvsZprof->GetBinContent(iy));
}
hGvsTime->GetZaxis()->SetTitle("#LT#gamma#GT");
hGvsTime->GetYaxis()->SetTitle("k_{p}#zeta");
hGvsTime->GetXaxis()->SetTitle("k_{p}z");
hGvsTime->GetZaxis()->CenterTitle();
hGvsTime->GetYaxis()->CenterTitle();
hGvsTime->GetXaxis()->CenterTitle();
hGvsTime->SetName(hName);
// Change the range of z axis
Float_t Gmax = hGvsTime->GetMaximum();
Float_t Gmin = hGvsTime->GetMinimum();
hGvsTime->GetZaxis()->SetRangeUser(Gmin,Gmax);
hGvsTime->Write(hName,TObject::kOverwrite);
}
// ---------------------------------------------------------------------------------
// EM fields on - axis :
TString opth1 = opt;
opth1 += "avg";
// Get electric fields
const Int_t Nfields = 2;
TH1F **hE1D = new TH1F*[Nfields];
for(Int_t i=0;i<Nfields;i++) {
hE1D[i] = NULL;
if(!pData->GetEfieldFileName(i))
continue;
char nam[3]; sprintf(nam,"e%i",i+1);
if(ThreeD) {
if(i==0)
hE1D[i] = pData->GetH1SliceZ3D(pData->GetEfieldFileName(i)->c_str(),nam,-1,Nbins,-1,Nbins,opth1.Data());
else
hE1D[i] = pData->GetH1SliceZ3D(pData->GetEfieldFileName(i)->c_str(),nam,-Nbins,Nbins,-Nbins,Nbins,opth1.Data());
} else if(CYL) { // Cylindrical: The first bin with r>0 is actually the number 1 (not the 0).
if(i==0)
hE1D[i] = pData->GetH1SliceZ(pData->GetEfieldFileName(i)->c_str(),nam,1,Nbins,opth1.Data());
else
hE1D[i] = pData->GetH1SliceZ(pData->GetEfieldFileName(i)->c_str(),nam,1,Nbins,opth1.Data());
} else { // 2D cartesian
if(i==0)
hE1D[i] = pData->GetH1SliceZ(pData->GetEfieldFileName(i)->c_str(),nam,-1,Nbins,opth1.Data());
else
hE1D[i] = pData->GetH1SliceZ(pData->GetEfieldFileName(i)->c_str(),nam,-Nbins,Nbins,opth1.Data());
}
char hName[24];
sprintf(hName,"hE_%i_%i",i,time);
hE1D[i]->SetName(hName);
if(opt.Contains("comov"))
hE1D[i]->GetXaxis()->SetTitle("k_{p}#zeta");
else
hE1D[i]->GetXaxis()->SetTitle("k_{p}z");
if(i==0)
hE1D[i]->GetYaxis()->SetTitle("E_{z}/E_{0}");
else if(i==1)
hE1D[i]->GetYaxis()->SetTitle("E_{y}/E_{0}");
else if(i==2)
hE1D[i]->GetYaxis()->SetTitle("E_{x}/E_{0}");
hE1D[i]->GetYaxis()->CenterTitle();
hE1D[i]->GetXaxis()->CenterTitle();
}
// Calculate wave positions:
// ----------------------------------------------------------------
// Calculate the crossings and the extremes of the Electric fields
Float_t Ecross[Nfields][100] = {{0.0}};
Float_t Eextr[Nfields][100] = {{0.0}};
Int_t Ncross[Nfields] = {0};
for(Int_t i=0;i<Nfields;i++) {
Ncross[i] = 0;
if(!hE1D[i]) continue;
// Only smooths the focusing if flag activated..
if(i>0 && opt.Contains("smooth")) {
// cout << " Smoothing fields on axis..." << endl;
hE1D[i]->Smooth(10);
}
Float_t maxZeta = zStartBeam;
if(opt.Contains("center"))
maxZeta -= zStartBeam;
for(Int_t ip=hE1D[i]->GetNbinsX();ip>1;ip--) {
Float_t Z2 = hE1D[i]->GetBinCenter(ip-1);
if(Z2 > maxZeta) continue;
Float_t E1 = hE1D[i]->GetBinContent(ip);
Float_t E2 = hE1D[i]->GetBinContent(ip-1);
Float_t Z1 = hE1D[i]->GetBinCenter(ip);
// cout << Form("Z1 = %6.4f Z2 = %6.4f E1 = %6.4f E2 = %6.4f", Z1, Z2, E1, E2) << endl;
if(E1*E2 >= 0) { // No change of sign means we are in a side of the zero axis.
if(fabs(E2)>fabs(Eextr[i][Ncross[i]])) {
Eextr[i][Ncross[i]] = E2;
}
}
if(E1*E2 < 0) { // change of sign means a crossing!
// The next crossing has to be far enough from the previous one:
Float_t zcross = -E1 * ( (Z2-Z1)/(E2-E1) ) + Z1;
if(Ncross[i]>0 && fabs(Ecross[i][Ncross[i]-1]-zcross)<TMath::PiOver2() ) continue;
// cout << " CROSS! " << endl;
// add the point
Ecross[i][Ncross[i]] = zcross;
Ncross[i]++;
}
}
cout << " -> Number of crossings for field " << i << " : " << Ncross[i] << endl;
for(Int_t ic=0;ic<Ncross[i];ic++) {
// cout << Form(" %2i: zeta = %6.4f E = %6.4f", ic, Ecross[i][ic], Eextr[i][ic]) << endl;
}
hE1D[i]->SetLineColor(kRed);
hE1D[i]->Write(hE1D[i]->GetName(),TObject::kOverwrite);
}
// Get the Graphs and histos from file
Int_t nPoints = 0;
TGraph ***gEcross = new TGraph**[Nfields];
TGraph ***gEextr = new TGraph**[Nfields];
TH2F **hEvsTime = new TH2F*[Nfields];
for(Int_t i=0;i<Nfields;i++) {
char hName[24];
sprintf(hName,"hEvsTime_%i",i);
TH2F *hEvsTimeOld = (TH2F*) ifile->Get(hName);
Int_t nBins = 1;
Float_t edge0 = Time-0.5;
Float_t edge1 = Time+0.5;
if(hEvsTimeOld!=NULL) {
nBins = hEvsTimeOld->GetNbinsX()+1;
Float_t binwidth = (Time - hEvsTimeOld->GetXaxis()->GetBinCenter(1))/(nBins-1);
edge0 = hEvsTimeOld->GetXaxis()->GetBinCenter(1) - binwidth/2.;
edge1 = Time + binwidth/2.;
}
hEvsTime[i] = new TH2F("temp","",nBins,edge0,edge1,
hE1D[i]->GetNbinsX(),
hE1D[i]->GetBinLowEdge(1),
hE1D[i]->GetBinLowEdge(hE1D[i]->GetNbinsX()+1));
for(Int_t ix=1;ix<hEvsTime[i]->GetNbinsX();ix++) {
for(Int_t iy=1;iy<hEvsTime[i]->GetNbinsY();iy++) {
hEvsTime[i]->SetBinContent(ix,iy,hEvsTimeOld->GetBinContent(ix,iy));
}
}
delete hEvsTimeOld;
// Fill last bin with the newest values.
for(Int_t iy=1;iy<=hE1D[i]->GetNbinsX();iy++) {
hEvsTime[i]->SetBinContent(nBins,iy,hE1D[i]->GetBinContent(iy));
}
if(i==0)
hEvsTime[i]->GetZaxis()->SetTitle("E_{z}/E_{0}");
else if(i==1)
hEvsTime[i]->GetZaxis()->SetTitle("E_{y}/E_{0}");
else if(i==2)
hEvsTime[i]->GetZaxis()->SetTitle("E_{x}/E_{0}");
hEvsTime[i]->GetYaxis()->SetTitle("k_{p}#zeta");
hEvsTime[i]->GetXaxis()->SetTitle("k_{p}z");
hEvsTime[i]->GetZaxis()->CenterTitle();
hEvsTime[i]->GetYaxis()->CenterTitle();
hEvsTime[i]->GetXaxis()->CenterTitle();
hEvsTime[i]->SetName(hName);
// Change the range of z axis for the fields to be symmetric.
Float_t Emax = hEvsTime[i]->GetMaximum();
Float_t Emin = hEvsTime[i]->GetMinimum();
if(Emax > TMath::Abs(Emin))
Emin = -Emax;
else
Emax = -Emin;
hEvsTime[i]->GetZaxis()->SetRangeUser(Emin,Emax);
hEvsTime[i]->Write(hName,TObject::kOverwrite);
// ---
gEcross[i] = new TGraph*[Ncross[i]];
gEextr[i] = new TGraph*[Ncross[i]];
char gName[24];
Int_t ifail = 0;
for(Int_t ic=0;ic<Ncross[i];ic++) {
sprintf(gName,"gEcross_%i_%i",i,ic);
gEcross[i][ic] = (TGraph*) ifile->Get(gName);
if(gEcross[i][ic]==NULL) {
gEcross[i][ic] = new TGraph();
gEcross[i][ic]->SetName(gName);
nPoints = 0;
// Some cosmetics at creation time:
if(i==1) gEcross[i][ic]->SetLineStyle(2);
else gEcross[i][ic]->SetLineStyle(1);
gEcross[i][ic]->SetLineWidth(1);
gEcross[i][ic]->SetLineColor(kGray+1);
gEcross[i][ic]->SetMarkerStyle(20);
gEcross[i][ic]->SetMarkerSize(0.4);
gEcross[i][ic]->SetMarkerColor(kGray+1);
gEcross[i][ic]->GetYaxis()->SetTitle("k_{p}#zeta]");
gEcross[i][ic]->GetXaxis()->SetTitle("k_{p}z");
} else {
nPoints = gEcross[i][ic]->GetN();
}
// Check the new crossings respect the previous ones:
// Double_t t,zeta;
// if(nPoints>0) {
// gEcross[i][ic]->GetPoint(nPoints-1,t,zeta);
// if(fabs(zeta-Ecross[i][ic+ifail])>TMath::Pi()) {
// ic--;
// ifail++;
// continue;
// }
// }
gEcross[i][ic]->Set(nPoints+1);
gEcross[i][ic]->SetPoint(nPoints,Time,Ecross[i][ic+ifail]);
gEcross[i][ic]->Write(gName,TObject::kOverwrite);
// if(ic==Ncross[i]-1) continue;
sprintf(gName,"gEextr_%i_%i",i,ic);
gEextr[i][ic] = (TGraph*) ifile->Get(gName);
if(gEextr[i][ic]==NULL) {
gEextr[i][ic] = new TGraph();
gEextr[i][ic]->SetName(gName);
nPoints = 0;
// Some cosmetics at creation time:
if(i==0) {
gEextr[i][ic]->SetLineWidth(3);
gEextr[i][ic]->SetLineColor(PGlobals::fieldLine);
gEextr[i][ic]->SetMarkerStyle(20);
gEextr[i][ic]->SetMarkerSize(0.4);
gEextr[i][ic]->SetMarkerColor(PGlobals::fieldLine);
gEextr[i][ic]->GetYaxis()->SetTitle("E_{z}/E_{0}");
gEextr[i][ic]->GetXaxis()->SetTitle("k_{p}z");
} else if(i==1) {
gEextr[i][ic]->SetLineWidth(1);
gEextr[i][ic]->SetLineColor(kGray+2);
gEextr[i][ic]->SetMarkerStyle(20);
gEextr[i][ic]->SetMarkerSize(0.4);
gEextr[i][ic]->SetMarkerColor(kGray+2);
gEextr[i][ic]->GetYaxis()->SetTitle("E_{y}/E_{0}");
gEextr[i][ic]->GetXaxis()->SetTitle("k_{p}z");
}
} else {
nPoints = gEextr[i][ic]->GetN();
}
gEextr[i][ic]->Set(nPoints+1);
gEextr[i][ic]->SetPoint(nPoints,Time,Eextr[i][ic]);
gEextr[i][ic]->Write(gName,TObject::kOverwrite);
}
}
ifile->Close();
}
void PlotShapeSystematics() {
TFile *file = 0;
TH1F *DefaultShape = 0;
TH1F *UpShape = 0;
TH1F *DownShape = 0;
TCanvas *cv = 0;
TLegend *legend = 0;
//*********************************************************
//0 Jet Bin - OF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwof_0j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.25);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_OF0Jet.png");
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_OF0Jet.eps");
//*********************************************************
//0 Jet Bin - SF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwsf_0j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.25);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_SF0Jet.png");
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_SF0Jet.eps");
//*********************************************************
//1 Jet Bin - OF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwof_1j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.4);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_OF1Jet.png");
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_OF1Jet.eps");
//*********************************************************
//1 Jet Bin - SF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwsf_1j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWNLOBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.4);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_SF1Jet.png");
cv->SaveAs("WWBkgShapeVariation_MCAtNLOScaleVariation_SF1Jet.eps");
//*********************************************************
//0 Jet Bin - OF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwof_0j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.25);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_OF0Jet.png");
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_OF0Jet.eps");
//*********************************************************
//0 Jet Bin - SF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwsf_0j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.25);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_SF0Jet.png");
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_SF0Jet.eps");
//*********************************************************
//1 Jet Bin - OF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwof_1j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.4);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_OF1Jet.png");
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_OF1Jet.eps");
//*********************************************************
//1 Jet Bin - SF
//*********************************************************
file = new TFile("/data/smurf/sixie/data/Thesis/cards/130/hwwsf_1j.input.root","READ");
DefaultShape = (TH1F*)file->Get("histo_qqWW");
UpShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwUp");
DownShape = (TH1F*)file->Get("histo_qqWW_CMS_MVAWWBounding_hwwDown");
assert(DefaultShape);
assert(UpShape);
assert(DownShape);
NormalizeHist(DefaultShape);
NormalizeHist(UpShape);
NormalizeHist(DownShape);
cv = new TCanvas("cv","cv",800,600);
legend = new TLegend(0.2, 0.6, 0.5, 0.9);
legend->SetTextSize(0.04);
legend->SetBorderSize(0);
legend->SetFillColor(kWhite);
legend->AddEntry(DefaultShape, "Default Shape", "L");
legend->AddEntry(UpShape, "Bounding Shape (Up)", "L");
legend->AddEntry(DownShape, "Bounding Shape (Down)", "L");
DefaultShape->SetLineColor(kBlack);
UpShape->SetLineColor(kBlue);
DownShape->SetLineColor(kRed);
DefaultShape->SetLineWidth(2);
UpShape->SetLineWidth(2);
DownShape->SetLineWidth(2);
DefaultShape->SetTitle("");
DefaultShape->GetXaxis()->SetTitle("MVA discriminator");
DefaultShape->GetYaxis()->SetTitle("Fraction of Events");
DefaultShape->GetYaxis()->SetTitleOffset(1.4);
DefaultShape->GetXaxis()->SetRangeUser(-1.0,1.0);
DefaultShape->GetYaxis()->SetRangeUser(0.0,0.4);
DefaultShape->Draw("hist");
UpShape->Draw("same,hist");
DownShape->Draw("same,hist");
legend->Draw();
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_SF1Jet.png");
cv->SaveAs("WWBkgShapeVariation_MadgraphVsMCAtNLO_SF1Jet.eps");
}
void gyieldsp()
{
//=========Macro generated from canvas: c1/c1
//========= (Fri Jul 31 19:31:43 2015) by ROOT version6.05/01
TCanvas *c1 = new TCanvas("c1", "c1",0,23,600,600);
gStyle->SetOptFit(1);
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
c1->Range(0,0,1,1);
c1->SetFillColor(0);
c1->SetBorderMode(0);
c1->SetBorderSize(2);
c1->SetTickx(1);
c1->SetTicky(1);
c1->SetLeftMargin(0.16);
c1->SetRightMargin(0.04);
c1->SetTopMargin(0.08);
c1->SetBottomMargin(0.12);
c1->SetFrameFillStyle(0);
c1->SetFrameBorderMode(0);
// ------------>Primitives in pad: pad1
TPad *pad1 = new TPad("pad1", "pad1",0,0.26,1,1);
pad1->Draw();
pad1->cd();
pad1->Range(-3.5,-6.621622,2.75,158.9189);
pad1->SetFillColor(0);
pad1->SetBorderMode(0);
pad1->SetBorderSize(2);
pad1->SetTickx(1);
pad1->SetTicky(1);
pad1->SetLeftMargin(0.16);
pad1->SetRightMargin(0.04);
pad1->SetTopMargin(0.1142857);
pad1->SetBottomMargin(0.04);
pad1->SetFrameFillStyle(0);
pad1->SetFrameBorderMode(0);
pad1->SetFrameFillStyle(0);
pad1->SetFrameBorderMode(0);
Double_t Graph0_fx3021[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph0_fy3021[10] = {
103.56,
105.744,
103.4081,
100.0093,
97.03688,
94.36609,
90.5471,
82.43278,
65.82142,
43.43165};
Double_t Graph0_felx3021[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph0_fely3021[10] = {
7.299733,
7.206486,
6.824632,
6.594841,
6.406375,
6.079494,
5.746822,
5.225105,
4.165823,
2.787035};
Double_t Graph0_fehx3021[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph0_fehy3021[10] = {
5.988963,
6.218694,
6.307709,
6.368316,
5.847823,
5.655323,
5.083818,
4.561256,
3.722445,
2.542957};
TGraphAsymmErrors *grae = new TGraphAsymmErrors(10,Graph0_fx3021,Graph0_fy3021,Graph0_felx3021,Graph0_fehx3021,Graph0_fely3021,Graph0_fehy3021);
grae->SetName("Graph0");
grae->SetTitle("Graph");
Int_t ci; // for color index setting
TColor *color; // for color definition with alpha
ci = TColor::GetColor("#ffff00");
grae->SetFillColor(ci);
ci = TColor::GetColor("#ff0000");
grae->SetLineColor(ci);
grae->SetLineWidth(4);
grae->SetMarkerStyle(20);
grae->SetMarkerSize(0);
TH1F *Graph_Graph3021 = new TH1F("Graph_Graph3021","Graph",100,-2.5,2.5);
Graph_Graph3021->SetMinimum(0);
Graph_Graph3021->SetMaximum(140);
Graph_Graph3021->SetDirectory(0);
Graph_Graph3021->SetStats(0);
Graph_Graph3021->SetLineStyle(0);
Graph_Graph3021->SetMarkerStyle(20);
Graph_Graph3021->GetXaxis()->SetNdivisions(505);
Graph_Graph3021->GetXaxis()->SetLabelFont(42);
Graph_Graph3021->GetXaxis()->SetLabelOffset(0.007);
Graph_Graph3021->GetXaxis()->SetLabelSize(0);
Graph_Graph3021->GetXaxis()->SetTitleSize(0.07142857);
Graph_Graph3021->GetXaxis()->SetTitleOffset(1.1);
Graph_Graph3021->GetXaxis()->SetTitleFont(42);
Graph_Graph3021->GetYaxis()->SetTitle("d#sigma (W^{+}#rightarrow#font[12]{l}^{+}#nu) / d#eta_{lab} [nb]");
Graph_Graph3021->GetYaxis()->SetLabelFont(42);
Graph_Graph3021->GetYaxis()->SetLabelOffset(0.007);
Graph_Graph3021->GetYaxis()->SetLabelSize(0.07142857);
Graph_Graph3021->GetYaxis()->SetTitleSize(0.07142857);
Graph_Graph3021->GetYaxis()->SetTitleOffset(1.05);
Graph_Graph3021->GetYaxis()->SetTitleFont(42);
Graph_Graph3021->GetZaxis()->SetLabelFont(42);
Graph_Graph3021->GetZaxis()->SetLabelOffset(0.007);
Graph_Graph3021->GetZaxis()->SetLabelSize(0.05);
Graph_Graph3021->GetZaxis()->SetTitleSize(0.06);
Graph_Graph3021->GetZaxis()->SetTitleFont(42);
grae->SetHistogram(Graph_Graph3021);
grae->Draw("a2");
Double_t Graph1_fx3022[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph1_fy3022[10] = {
103.56,
105.744,
103.4081,
100.0093,
97.03688,
94.36609,
90.5471,
82.43278,
65.82142,
43.43165};
Double_t Graph1_felx3022[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph1_fely3022[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t Graph1_fehx3022[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph1_fehy3022[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
grae = new TGraphAsymmErrors(10,Graph1_fx3022,Graph1_fy3022,Graph1_felx3022,Graph1_fehx3022,Graph1_fely3022,Graph1_fehy3022);
grae->SetName("Graph1");
grae->SetTitle("Graph");
ci = TColor::GetColor("#ffff00");
grae->SetFillColor(ci);
ci = TColor::GetColor("#ff0000");
grae->SetLineColor(ci);
grae->SetLineWidth(4);
grae->SetMarkerStyle(20);
grae->SetMarkerSize(0);
grae->Draw("z");
Double_t Graph2_fx3023[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph2_fy3023[10] = {
91.59545,
95.26883,
95.65156,
95.47892,
95.94693,
96.02597,
93.3635,
84.56484,
65.95871,
42.11706};
Double_t Graph2_felx3023[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph2_fely3023[10] = {
8.336985,
8.261181,
7.634488,
6.438496,
6.661149,
6.164321,
6.1019,
4.954787,
4.773841,
2.599375};
Double_t Graph2_fehx3023[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph2_fehy3023[10] = {
8.262572,
7.14746,
6.62492,
6.725295,
5.946212,
5.838684,
5.077774,
5.257491,
3.443198,
2.602454};
grae = new TGraphAsymmErrors(10,Graph2_fx3023,Graph2_fy3023,Graph2_felx3023,Graph2_fehx3023,Graph2_fely3023,Graph2_fehy3023);
grae->SetName("Graph2");
grae->SetTitle("Graph");
ci = TColor::GetColor("#009900");
grae->SetFillColor(ci);
grae->SetFillStyle(3375);
ci = TColor::GetColor("#009900");
grae->SetLineColor(ci);
grae->SetLineStyle(7);
grae->SetLineWidth(4);
grae->SetMarkerStyle(20);
TH1F *Graph_Graph3023 = new TH1F("Graph_Graph3023","Graph",100,-2.88,2.88);
Graph_Graph3023->SetMinimum(33.22782);
Graph_Graph3023->SetMaximum(108.7062);
Graph_Graph3023->SetDirectory(0);
Graph_Graph3023->SetStats(0);
Graph_Graph3023->SetLineStyle(0);
Graph_Graph3023->SetMarkerStyle(20);
Graph_Graph3023->GetXaxis()->SetLabelFont(42);
Graph_Graph3023->GetXaxis()->SetLabelOffset(0.007);
Graph_Graph3023->GetXaxis()->SetLabelSize(0.05);
Graph_Graph3023->GetXaxis()->SetTitleSize(0.06);
Graph_Graph3023->GetXaxis()->SetTitleOffset(1.1);
Graph_Graph3023->GetXaxis()->SetTitleFont(42);
Graph_Graph3023->GetYaxis()->SetLabelFont(42);
Graph_Graph3023->GetYaxis()->SetLabelOffset(0.007);
Graph_Graph3023->GetYaxis()->SetLabelSize(0.05);
Graph_Graph3023->GetYaxis()->SetTitleSize(0.06);
Graph_Graph3023->GetYaxis()->SetTitleOffset(1.5);
Graph_Graph3023->GetYaxis()->SetTitleFont(42);
Graph_Graph3023->GetZaxis()->SetLabelFont(42);
Graph_Graph3023->GetZaxis()->SetLabelOffset(0.007);
Graph_Graph3023->GetZaxis()->SetLabelSize(0.05);
Graph_Graph3023->GetZaxis()->SetTitleSize(0.06);
Graph_Graph3023->GetZaxis()->SetTitleFont(42);
grae->SetHistogram(Graph_Graph3023);
grae->Draw("2");
Double_t Graph3_fx3024[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph3_fy3024[10] = {
91.59545,
95.26883,
95.65156,
95.47892,
95.94693,
96.02597,
93.3635,
84.56484,
65.95871,
42.11706};
Double_t Graph3_felx3024[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph3_fely3024[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t Graph3_fehx3024[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph3_fehy3024[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
grae = new TGraphAsymmErrors(10,Graph3_fx3024,Graph3_fy3024,Graph3_felx3024,Graph3_fehx3024,Graph3_fely3024,Graph3_fehy3024);
grae->SetName("Graph3");
grae->SetTitle("Graph");
ci = TColor::GetColor("#009900");
grae->SetFillColor(ci);
grae->SetFillStyle(3375);
ci = TColor::GetColor("#009900");
grae->SetLineColor(ci);
grae->SetLineStyle(7);
grae->SetLineWidth(4);
grae->SetMarkerStyle(20);
grae->Draw("z");
Double_t Graph4_fx1011[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph4_fy1011[10] = {
108.0732,
102.2597,
100.2246,
101.796,
105.3416,
99.73788,
98.62062,
85.94448,
62.90271,
44.47931};
Double_t Graph4_fex1011[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t Graph4_fey1011[10] = {
6.667786,
4.792637,
3.765295,
3.224798,
3.479167,
3.377478,
3.07273,
3.40604,
2.800731,
2.87761};
TGraphErrors *gre = new TGraphErrors(10,Graph4_fx1011,Graph4_fy1011,Graph4_fex1011,Graph4_fey1011);
gre->SetName("Graph4");
gre->SetTitle("Graph");
gre->SetFillColor(1);
gre->SetFillStyle(0);
gre->SetLineWidth(2);
gre->SetMarkerStyle(20);
gre->Draw("||");
Double_t gyieldsp_exp_statonly_1_fx1012[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t gyieldsp_exp_statonly_1_fy1012[10] = {
108.0732,
102.2597,
100.2246,
101.796,
105.3416,
99.73788,
98.62062,
85.94448,
62.90271,
44.47931};
Double_t gyieldsp_exp_statonly_1_fex1012[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t gyieldsp_exp_statonly_1_fey1012[10] = {
2.814265,
2.293805,
2.181326,
2.056934,
2.054972,
2.059018,
2.050204,
2.01317,
1.754638,
1.667829};
gre = new TGraphErrors(10,gyieldsp_exp_statonly_1_fx1012,gyieldsp_exp_statonly_1_fy1012,gyieldsp_exp_statonly_1_fex1012,gyieldsp_exp_statonly_1_fey1012);
gre->SetName("gyieldsp_exp_statonly_1");
gre->SetTitle("Graph");
gre->SetFillColor(1);
gre->SetLineWidth(2);
gre->SetMarkerStyle(20);
gre->SetMarkerSize(1.2);
TH1F *Graph_gyieldsp_exp_statonly_11012 = new TH1F("Graph_gyieldsp_exp_statonly_11012","Graph",100,-2.64,2.64);
Graph_gyieldsp_exp_statonly_11012->SetMinimum(36.00388);
Graph_gyieldsp_exp_statonly_11012->SetMaximum(117.6951);
Graph_gyieldsp_exp_statonly_11012->SetDirectory(0);
Graph_gyieldsp_exp_statonly_11012->SetStats(0);
Graph_gyieldsp_exp_statonly_11012->SetLineStyle(0);
Graph_gyieldsp_exp_statonly_11012->SetMarkerStyle(20);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetLabelFont(42);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetLabelOffset(0.007);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetLabelSize(0.05);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetTitleSize(0.06);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetTitleOffset(1.1);
Graph_gyieldsp_exp_statonly_11012->GetXaxis()->SetTitleFont(42);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetLabelFont(42);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetLabelOffset(0.007);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetLabelSize(0.05);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetTitleSize(0.06);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetTitleOffset(1.5);
Graph_gyieldsp_exp_statonly_11012->GetYaxis()->SetTitleFont(42);
Graph_gyieldsp_exp_statonly_11012->GetZaxis()->SetLabelFont(42);
Graph_gyieldsp_exp_statonly_11012->GetZaxis()->SetLabelOffset(0.007);
Graph_gyieldsp_exp_statonly_11012->GetZaxis()->SetLabelSize(0.05);
Graph_gyieldsp_exp_statonly_11012->GetZaxis()->SetTitleSize(0.06);
Graph_gyieldsp_exp_statonly_11012->GetZaxis()->SetTitleFont(42);
gre->SetHistogram(Graph_gyieldsp_exp_statonly_11012);
gre->Draw("pz");
TLegend *leg = new TLegend(0.6,0.1,0.9,0.3142857,NULL,"brNDC");
leg->SetBorderSize(0);
leg->SetTextSize(0.05714286);
leg->SetLineColor(1);
leg->SetLineStyle(1);
leg->SetLineWidth(1);
leg->SetFillColor(0);
leg->SetFillStyle(1001);
TLegendEntry *entry=leg->AddEntry("Graph4","Data","p");
entry->SetLineColor(1);
entry->SetLineStyle(1);
entry->SetLineWidth(1);
entry->SetMarkerColor(1);
entry->SetMarkerStyle(20);
entry->SetMarkerSize(1);
entry->SetTextFont(42);
entry=leg->AddEntry("Graph0","CT10","lf");
ci = TColor::GetColor("#ffff00");
entry->SetFillColor(ci);
entry->SetFillStyle(1001);
ci = TColor::GetColor("#ff0000");
entry->SetLineColor(ci);
entry->SetLineStyle(1);
entry->SetLineWidth(4);
entry->SetMarkerColor(1);
entry->SetMarkerStyle(21);
entry->SetMarkerSize(1);
entry->SetTextFont(42);
entry=leg->AddEntry("Graph2","CT10+EPS09","lf");
ci = TColor::GetColor("#009900");
entry->SetFillColor(ci);
entry->SetFillStyle(3375);
ci = TColor::GetColor("#009900");
entry->SetLineColor(ci);
entry->SetLineStyle(7);
entry->SetLineWidth(4);
entry->SetMarkerColor(1);
entry->SetMarkerStyle(21);
entry->SetMarkerSize(1);
entry->SetTextFont(42);
leg->Draw();
TPaveText *pt = new TPaveText(-2.35,125,-0.35,140,"br");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetFillStyle(0);
pt->SetTextAlign(13);
pt->SetTextFont(42);
pt->SetTextSize(0.05714286);
TText *AText = pt->AddText("Luminosity uncertainty: 3.5%");
pt->Draw();
pt = new TPaveText(0.27,0.2,0.5,0.3428571,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetFillStyle(0);
pt->SetTextAlign(13);
pt->SetTextFont(42);
pt->SetTextSize(0.05714286);
AText = pt->AddText("W^{+} #rightarrow #font[12]{l}^{+} + #nu");
AText = pt->AddText("p_{T}^{#font[12]{l}} > 25 GeV/c");
pt->Draw();
tex = new TLatex(0.96,0.9177143," #sqrt{s_{NN}} = 5.02 TeV");
tex->SetNDC();
tex->SetTextAlign(31);
tex->SetTextFont(42);
tex->SetTextSize(0.05714286);
tex->SetLineWidth(2);
tex->Draw();
tex = new TLatex(0.16,0.9177143,"pPb 34.6 nb^{-1}");
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.05714286);
tex->SetLineWidth(2);
tex->Draw();
tex = new TLatex(0.924,0.8476571,"CMS");
tex->SetNDC();
tex->SetTextAlign(33);
tex->SetTextFont(61);
tex->SetTextSize(0.06857143);
tex->SetLineWidth(2);
tex->Draw();
TH1F *Graph_copy = new TH1F("Graph_copy","Graph",100,-2.5,2.5);
Graph_copy->SetMinimum(0);
Graph_copy->SetMaximum(140);
Graph_copy->SetDirectory(0);
Graph_copy->SetStats(0);
Graph_copy->SetLineStyle(0);
Graph_copy->SetMarkerStyle(20);
Graph_copy->GetXaxis()->SetNdivisions(505);
Graph_copy->GetXaxis()->SetLabelFont(42);
Graph_copy->GetXaxis()->SetLabelOffset(0.007);
Graph_copy->GetXaxis()->SetLabelSize(0);
Graph_copy->GetXaxis()->SetTitleSize(0.07142857);
Graph_copy->GetXaxis()->SetTitleOffset(1.1);
Graph_copy->GetXaxis()->SetTitleFont(42);
Graph_copy->GetYaxis()->SetTitle("d#sigma (W^{+}#rightarrow#font[12]{l}^{+}#nu) / d#eta_{lab} [nb]");
Graph_copy->GetYaxis()->SetLabelFont(42);
Graph_copy->GetYaxis()->SetLabelOffset(0.007);
Graph_copy->GetYaxis()->SetLabelSize(0.07142857);
Graph_copy->GetYaxis()->SetTitleSize(0.07142857);
Graph_copy->GetYaxis()->SetTitleOffset(1.05);
Graph_copy->GetYaxis()->SetTitleFont(42);
Graph_copy->GetZaxis()->SetLabelFont(42);
Graph_copy->GetZaxis()->SetLabelOffset(0.007);
Graph_copy->GetZaxis()->SetLabelSize(0.05);
Graph_copy->GetZaxis()->SetTitleSize(0.06);
Graph_copy->GetZaxis()->SetTitleFont(42);
Graph_copy->Draw("sameaxis");
pad1->Modified();
c1->cd();
// ------------>Primitives in pad: pad2
TPad *pad2 = new TPad("pad2", "pad2",0,0,1,0.288);
pad2->Draw();
pad2->cd();
pad2->Range(-3.5,0.35,2.75,1.35);
pad2->SetFillColor(0);
pad2->SetFillStyle(4000);
pad2->SetBorderMode(0);
pad2->SetBorderSize(2);
pad2->SetTickx(1);
pad2->SetTicky(1);
pad2->SetLeftMargin(0.16);
pad2->SetRightMargin(0.04);
pad2->SetTopMargin(0);
pad2->SetBottomMargin(0.4);
pad2->SetFrameFillStyle(4000);
pad2->SetFrameBorderMode(0);
pad2->SetFrameFillStyle(4000);
pad2->SetFrameBorderMode(0);
TH1F *Graph = new TH1F("Graph","Graph",100,-2.5,2.5);
Graph->SetMinimum(0.75);
Graph->SetMaximum(1.35);
Graph->SetDirectory(0);
Graph->SetStats(0);
Graph->SetLineStyle(0);
Graph->SetMarkerStyle(20);
Graph->GetXaxis()->SetTitle("#eta_{lab}");
Graph->GetXaxis()->SetNdivisions(505);
Graph->GetXaxis()->SetLabelFont(42);
Graph->GetXaxis()->SetLabelOffset(0.007);
Graph->GetXaxis()->SetLabelSize(0.1666667);
Graph->GetXaxis()->SetTitleSize(0.1666667);
Graph->GetXaxis()->SetTitleOffset(1.1);
Graph->GetXaxis()->SetTitleFont(42);
Graph->GetYaxis()->SetTitle("Ratio ");
Graph->GetYaxis()->SetNdivisions(503);
Graph->GetYaxis()->SetLabelFont(42);
Graph->GetYaxis()->SetLabelOffset(0.007);
Graph->GetYaxis()->SetLabelSize(0.1666667);
Graph->GetYaxis()->SetTitleSize(0.1666667);
Graph->GetYaxis()->SetTitleOffset(0.45);
Graph->GetYaxis()->SetTitleFont(42);
Graph->GetZaxis()->SetLabelFont(42);
Graph->GetZaxis()->SetLabelOffset(0.007);
Graph->GetZaxis()->SetLabelSize(0.05);
Graph->GetZaxis()->SetTitleSize(0.06);
Graph->GetZaxis()->SetTitleFont(42);
Graph->Draw("");
Double_t Graph0_fx1013[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph0_fy1013[10] = {
1,
1,
1,
1,
1,
1,
1,
1,
1,
1};
Double_t Graph0_fex1013[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph0_fey1013[10] = {
0.0644708,
0.06365122,
0.06354681,
0.06481966,
0.06320752,
0.0622177,
0.05991862,
0.05949606,
0.06001632,
0.06142499};
gre = new TGraphErrors(10,Graph0_fx1013,Graph0_fy1013,Graph0_fex1013,Graph0_fey1013);
gre->SetName("Graph0");
gre->SetTitle("Graph");
ci = TColor::GetColor("#ffff00");
gre->SetFillColor(ci);
ci = TColor::GetColor("#ff0000");
gre->SetLineColor(ci);
gre->SetLineWidth(4);
gre->SetMarkerStyle(20);
gre->SetMarkerSize(0);
TH1F *Graph_Graph1013 = new TH1F("Graph_Graph1013","Graph",100,-2.88,2.88);
Graph_Graph1013->SetMinimum(0.9222164);
Graph_Graph1013->SetMaximum(1.077784);
Graph_Graph1013->SetDirectory(0);
Graph_Graph1013->SetStats(0);
Graph_Graph1013->SetLineStyle(0);
Graph_Graph1013->SetMarkerStyle(20);
Graph_Graph1013->GetXaxis()->SetLabelFont(42);
Graph_Graph1013->GetXaxis()->SetLabelOffset(0.007);
Graph_Graph1013->GetXaxis()->SetLabelSize(0.05);
Graph_Graph1013->GetXaxis()->SetTitleSize(0.06);
Graph_Graph1013->GetXaxis()->SetTitleOffset(1.1);
Graph_Graph1013->GetXaxis()->SetTitleFont(42);
Graph_Graph1013->GetYaxis()->SetLabelFont(42);
Graph_Graph1013->GetYaxis()->SetLabelOffset(0.007);
Graph_Graph1013->GetYaxis()->SetLabelSize(0.05);
Graph_Graph1013->GetYaxis()->SetTitleSize(0.06);
Graph_Graph1013->GetYaxis()->SetTitleOffset(1.5);
Graph_Graph1013->GetYaxis()->SetTitleFont(42);
Graph_Graph1013->GetZaxis()->SetLabelFont(42);
Graph_Graph1013->GetZaxis()->SetLabelOffset(0.007);
Graph_Graph1013->GetZaxis()->SetLabelSize(0.05);
Graph_Graph1013->GetZaxis()->SetTitleSize(0.06);
Graph_Graph1013->GetZaxis()->SetTitleFont(42);
gre->SetHistogram(Graph_Graph1013);
gre->Draw("2");
Double_t Graph1_fx1014[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph1_fy1014[10] = {
1,
1,
1,
1,
1,
1,
1,
1,
1,
1};
Double_t Graph1_fex1014[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph1_fey1014[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
gre = new TGraphErrors(10,Graph1_fx1014,Graph1_fy1014,Graph1_fex1014,Graph1_fey1014);
gre->SetName("Graph1");
gre->SetTitle("Graph");
ci = TColor::GetColor("#ffff00");
gre->SetFillColor(ci);
ci = TColor::GetColor("#ff0000");
gre->SetLineColor(ci);
gre->SetLineWidth(4);
gre->SetMarkerStyle(20);
gre->SetMarkerSize(0);
gre->Draw("z");
Double_t Graph2_fx1015[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph2_fy1015[10] = {
0.8844678,
0.9009383,
0.9249909,
0.9547005,
0.9887677,
1.01759,
1.031104,
1.025864,
1.002086,
0.9697318};
Double_t Graph2_fex1015[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph2_fey1015[10] = {
0.05296218,
0.042007,
0.03326947,
0.02116912,
0.0170915,
0.01890429,
0.01672622,
0.01681633,
0.01541551,
0.01597539};
gre = new TGraphErrors(10,Graph2_fx1015,Graph2_fy1015,Graph2_fex1015,Graph2_fey1015);
gre->SetName("Graph2");
gre->SetTitle("Graph");
ci = TColor::GetColor("#009900");
gre->SetFillColor(ci);
gre->SetFillStyle(3375);
ci = TColor::GetColor("#009900");
gre->SetLineColor(ci);
gre->SetLineStyle(7);
gre->SetLineWidth(4);
gre->SetMarkerStyle(20);
TH1F *Graph_Graph1015 = new TH1F("Graph_Graph1015","Graph",100,-2.88,2.88);
Graph_Graph1015->SetMinimum(0.8098732);
Graph_Graph1015->SetMaximum(1.069463);
Graph_Graph1015->SetDirectory(0);
Graph_Graph1015->SetStats(0);
Graph_Graph1015->SetLineStyle(0);
Graph_Graph1015->SetMarkerStyle(20);
Graph_Graph1015->GetXaxis()->SetLabelFont(42);
Graph_Graph1015->GetXaxis()->SetLabelOffset(0.007);
Graph_Graph1015->GetXaxis()->SetLabelSize(0.05);
Graph_Graph1015->GetXaxis()->SetTitleSize(0.06);
Graph_Graph1015->GetXaxis()->SetTitleOffset(1.1);
Graph_Graph1015->GetXaxis()->SetTitleFont(42);
Graph_Graph1015->GetYaxis()->SetLabelFont(42);
Graph_Graph1015->GetYaxis()->SetLabelOffset(0.007);
Graph_Graph1015->GetYaxis()->SetLabelSize(0.05);
Graph_Graph1015->GetYaxis()->SetTitleSize(0.06);
Graph_Graph1015->GetYaxis()->SetTitleOffset(1.5);
Graph_Graph1015->GetYaxis()->SetTitleFont(42);
Graph_Graph1015->GetZaxis()->SetLabelFont(42);
Graph_Graph1015->GetZaxis()->SetLabelOffset(0.007);
Graph_Graph1015->GetZaxis()->SetLabelSize(0.05);
Graph_Graph1015->GetZaxis()->SetTitleSize(0.06);
Graph_Graph1015->GetZaxis()->SetTitleFont(42);
gre->SetHistogram(Graph_Graph1015);
gre->Draw("2");
Double_t Graph3_fx1016[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph3_fy1016[10] = {
0.8844678,
0.9009383,
0.9249909,
0.9547005,
0.9887677,
1.01759,
1.031104,
1.025864,
1.002086,
0.9697318};
Double_t Graph3_fex1016[10] = {
0.2,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.25,
0.2};
Double_t Graph3_fey1016[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
gre = new TGraphErrors(10,Graph3_fx1016,Graph3_fy1016,Graph3_fex1016,Graph3_fey1016);
gre->SetName("Graph3");
gre->SetTitle("Graph");
ci = TColor::GetColor("#009900");
gre->SetFillColor(ci);
gre->SetFillStyle(3375);
ci = TColor::GetColor("#009900");
gre->SetLineColor(ci);
gre->SetLineStyle(7);
gre->SetLineWidth(4);
gre->SetMarkerStyle(20);
gre->Draw("z");
Double_t Graph4_fx1017[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph4_fy1017[10] = {
1.043581,
0.9670498,
0.9692137,
1.017865,
1.085583,
1.056925,
1.089164,
1.042601,
0.9556571,
1.024122};
Double_t Graph4_fex1017[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t Graph4_fey1017[10] = {
0.06438575,
0.04532301,
0.03641199,
0.03224499,
0.03585407,
0.03579123,
0.03393516,
0.041319,
0.04255045,
0.06625605};
gre = new TGraphErrors(10,Graph4_fx1017,Graph4_fy1017,Graph4_fex1017,Graph4_fey1017);
gre->SetName("Graph4");
gre->SetTitle("Graph");
gre->SetFillColor(1);
gre->SetFillStyle(0);
gre->SetLineWidth(2);
gre->SetMarkerStyle(20);
gre->Draw("||");
Double_t Graph5_fx1018[10] = {
2.2,
1.75,
1.25,
0.75,
0.25,
-0.25,
-0.75,
-1.25,
-1.75,
-2.2};
Double_t Graph5_fy1018[10] = {
1.043581,
0.9670498,
0.9692137,
1.017865,
1.085583,
1.056925,
1.089164,
1.042601,
0.9556571,
1.024122};
Double_t Graph5_fex1018[10] = {
0,
0,
0,
0,
0,
0,
0,
0,
0,
0};
Double_t Graph5_fey1018[10] = {
0.02717523,
0.02169205,
0.02109434,
0.02056743,
0.02117723,
0.02181947,
0.02264241,
0.02442196,
0.02665755,
0.03840124};
gre = new TGraphErrors(10,Graph5_fx1018,Graph5_fy1018,Graph5_fex1018,Graph5_fey1018);
gre->SetName("Graph5");
gre->SetTitle("Graph");
gre->SetFillColor(1);
gre->SetLineWidth(2);
gre->SetMarkerStyle(20);
TH1F *Graph_Graph1018 = new TH1F("Graph_Graph1018","Graph",100,-2.64,2.64);
Graph_Graph1018->SetMinimum(0.9107189);
Graph_Graph1018->SetMaximum(1.130087);
Graph_Graph1018->SetDirectory(0);
Graph_Graph1018->SetStats(0);
Graph_Graph1018->SetLineStyle(0);
Graph_Graph1018->SetMarkerStyle(20);
Graph_Graph1018->GetXaxis()->SetLabelFont(42);
Graph_Graph1018->GetXaxis()->SetLabelOffset(0.007);
Graph_Graph1018->GetXaxis()->SetLabelSize(0.05);
Graph_Graph1018->GetXaxis()->SetTitleSize(0.06);
Graph_Graph1018->GetXaxis()->SetTitleOffset(1.1);
Graph_Graph1018->GetXaxis()->SetTitleFont(42);
Graph_Graph1018->GetYaxis()->SetLabelFont(42);
Graph_Graph1018->GetYaxis()->SetLabelOffset(0.007);
Graph_Graph1018->GetYaxis()->SetLabelSize(0.05);
Graph_Graph1018->GetYaxis()->SetTitleSize(0.06);
Graph_Graph1018->GetYaxis()->SetTitleOffset(1.5);
Graph_Graph1018->GetYaxis()->SetTitleFont(42);
Graph_Graph1018->GetZaxis()->SetLabelFont(42);
Graph_Graph1018->GetZaxis()->SetLabelOffset(0.007);
Graph_Graph1018->GetZaxis()->SetLabelSize(0.05);
Graph_Graph1018->GetZaxis()->SetTitleSize(0.06);
Graph_Graph1018->GetZaxis()->SetTitleFont(42);
gre->SetHistogram(Graph_Graph1018);
gre->Draw("pz");
TH1F *Graph_copy = new TH1F("Graph_copy","Graph",100,-2.5,2.5);
Graph_copy->SetMinimum(0.75);
Graph_copy->SetMaximum(1.35);
Graph_copy->SetDirectory(0);
Graph_copy->SetStats(0);
Graph_copy->SetLineStyle(0);
Graph_copy->SetMarkerStyle(20);
Graph_copy->GetXaxis()->SetTitle("#eta_{lab}");
Graph_copy->GetXaxis()->SetNdivisions(505);
Graph_copy->GetXaxis()->SetLabelFont(42);
Graph_copy->GetXaxis()->SetLabelOffset(0.007);
Graph_copy->GetXaxis()->SetLabelSize(0.1666667);
Graph_copy->GetXaxis()->SetTitleSize(0.1666667);
Graph_copy->GetXaxis()->SetTitleOffset(1.1);
Graph_copy->GetXaxis()->SetTitleFont(42);
Graph_copy->GetYaxis()->SetTitle("Ratio ");
Graph_copy->GetYaxis()->SetNdivisions(503);
Graph_copy->GetYaxis()->SetLabelFont(42);
Graph_copy->GetYaxis()->SetLabelOffset(0.007);
Graph_copy->GetYaxis()->SetLabelSize(0.1666667);
Graph_copy->GetYaxis()->SetTitleSize(0.1666667);
Graph_copy->GetYaxis()->SetTitleOffset(0.45);
Graph_copy->GetYaxis()->SetTitleFont(42);
Graph_copy->GetZaxis()->SetLabelFont(42);
Graph_copy->GetZaxis()->SetLabelOffset(0.007);
Graph_copy->GetZaxis()->SetLabelSize(0.05);
Graph_copy->GetZaxis()->SetTitleSize(0.06);
Graph_copy->GetZaxis()->SetTitleFont(42);
Graph_copy->Draw("sameaxis");
pad2->Modified();
c1->cd();
c1->Modified();
c1->cd();
c1->SetSelected(c1);
}
//------------------------------------------------------------------------------
//Subtraction
//------------------------------------------------------------------------------
void Subtraction(TString hname,
TString xtitle,
Int_t ngroup = -1,
Int_t precision = 1,
TString units = "NULL",
Double_t xmin = -999,
Double_t xmax = 999,
Bool_t moveOverflow = true)
{
TCanvas* canvas = new TCanvas(hname, hname, 800, 800);
TPad* pad1 = new TPad("pad1", "pad1", 0, 0.0, 1, 1.0);
pad1->SetTopMargin (0.08);
//pad1->SetBottomMargin(0.02);
pad1->Draw();
//----------------------------------------------------------------------------
// pad1
//----------------------------------------------------------------------------
pad1->cd();
pad1->SetLogy(_setLogy);
TH1F* hist[nProcesses];
for (UInt_t ip=0; ip<nProcesses; ip++) {
hist[ip] = (TH1F*)input[ip]->Get(hname);
hist[ip]->SetName(hname + process[ip]);
if (moveOverflow) MoveOverflowBins (hist[ip], xmin, xmax);
else ZeroOutOfRangeBins(hist[ip], xmin, xmax);
if (ngroup > 0) hist[ip]->Rebin(ngroup);
if (_dataDriven && ip == iWW) hist[ip]->Scale(WWScale[_njet]);
if (_dataDriven && ip == iDY) hist[ip]->Scale(ZjScale[_njet]);
if (_dataDriven && ip == iDYtau) hist[ip]->Scale(ZjScale[_njet]);
}
// Data subtraction for Top background estimation
//----------------------------------------------------------------------------
TH1F* subData = (TH1F*)hist[iData]->Clone("subData");
for (UInt_t ip=0; ip<nProcesses; ip++) {
if (ip == itt) continue;
if (ip == itW) continue;
if (ip == iData ) continue;
subData->Add(hist[ip],-1);
}
subData->SetLineColor(kRed+1);
Double_t subData_Yield = subData->Integral();
//subData->SetLineColor();
// Top background
//----------------------------------------------------------------------------
TH1F* Top = (TH1F*)hist[itt]->Clone("Top");
Top->Add(hist[itW]);
Top->SetLineColor(kBlue+1);
Double_t Top_Yield = Top->Integral();
// Axis labels
//----------------------------------------------------------------------------
TAxis* xaxis = subData->GetXaxis();
TAxis* yaxis = subData->GetYaxis();
TString ytitle = Form("entries / %s.%df", "%", precision);
xaxis->SetTitle(xtitle);
yaxis->SetTitle(Form(ytitle.Data(), subData->GetBinWidth(0)));
yaxis->SetTitleOffset(1.6);
if (!units.Contains("NULL")) {
xaxis->SetTitle(Form("%s [%s]", xaxis->GetTitle(), units.Data()));
yaxis->SetTitle(Form("%s %s", yaxis->GetTitle(), units.Data()));
}
// Draw
//----------------------------------------------------------------------------
xaxis->SetRangeUser(xmin, xmax);
subData->Draw("hist");
Top->Draw("hist same");
// Adjust scale
//----------------------------------------------------------------------------
subData->SetMinimum(0.0);
Float_t theMax = GetMaximumIncludingErrors(subData, xmin, xmax);
Float_t theMaxMC = GetMaximumIncludingErrors(Top, xmin, xmax);
if (theMaxMC > theMax) theMax = theMaxMC;
if (pad1->GetLogy()) {
theMax = TMath::Power(10, TMath::Log10(theMax) + 2.7);
subData->SetMinimum(0.05);
}
else theMax *= 1.55;
subData->SetMaximum(theMax);
// Legend
//----------------------------------------------------------------------------
Double_t x0 = 0.720;
Double_t y0 = 0.834;
Double_t yoffset = 0.048;
Double_t delta = yoffset + 0.001;
Double_t ndelta = 0;
DrawLegend(x0 - 0.49, y0 - ndelta, subData, Form(" Data Subtraction (MC without Top) (%.0f)", Yield(subData)), "l", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.49, y0 - ndelta, Top, Form(" Top (%.0f)", Yield(Top)), "l", 0.03, 0.2, yoffset); ndelta += delta;
// Additional titles
//----------------------------------------------------------------------------
//TString channelLabel = "ee/#mu#mu/e#mu/#mue";
TString channelLabel = "";
//if (_channel == "EE") channelLabel = "ee";
//if (_channel == "MuMu") channelLabel = "#mu#mu";
//if (_channel == "EMu") channelLabel = "e#mu";
//if (_channel == "MuE") channelLabel = "#mue";
//if (_channel == "SF") channelLabel = "ee/#mu#mu";
//if (_channel == "OF") channelLabel = "e#mu/#mue";
channelLabel += Form(" %d", _njet);
if (_njet == 0) channelLabel += "-jets";
if (_njet == 1) channelLabel += "-jet";
if (_njet >= 2) channelLabel += "-jets";
DrawTLatex(0.185, 0.975, 0.05, 13, channelLabel.Data());
DrawTLatex(0.940, 0.983, 0.05, 33, Form("L = %.1f fb^{-1}", _luminosity/1e3));
if (Top_Yield!=0){
cout << "subData_Yield = "<<subData_Yield<<", Top_Yield = "<<Top_Yield<<", Ratio = "<< subData_Yield/Top_Yield <<endl;
TLatex *tex3 = new TLatex(0.250, 0.75, "Scale Factor");
tex3->SetNDC();
tex3->SetTextSize(0.035);
tex3->Draw();
TLatex *tex4 = new TLatex(0.250, 0.7, Form("%.0f / %.0f = %3.3f",subData_Yield ,Top_Yield ,subData_Yield/Top_Yield));
tex4->SetNDC();
tex4->SetTextSize(0.035);
tex4->Draw();
}
// Save
//----------------------------------------------------------------------------
pad1->cd();
//SetAxis(subData, "", subData->GetYaxis()->GetTitle(), 0.05, 1.6);
canvas->cd();
TString suffixLogy = (_setLogy) ? "_Log" : "_Lin";
canvas->SaveAs(Form("%s/%s%s_sub.%s",
_output.Data(),
hname.Data(),
suffixLogy.Data(),
_format.Data()));
}
void plot(int mass) {
double myQCDRelUncert = 0.038;
double myEWKRelUncert = 0.131;
double myFakesRelUncert = 0.238;
double delta = 1.4;
double br = 0.05;
bool debug = false;
bool log = false;
double ymin = 0.001;
double ymax = 48;
static bool bMessage = false;
if (!bMessage) {
cout << "Values used as relative uncertainty (please check):" << endl;
cout << " QCD: " << myQCDRelUncert << endl;
cout << " EWK genuine tau: " << myEWKRelUncert << endl;
cout << " EWK fake tau: " << myFakesRelUncert << endl << endl;
bMessage = true;
}
cout << "Processing mass point: " << mass << " GeV/c2" << endl;
gStyle->SetOptFit(1);
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
gStyle->SetTitleFont(43, "xyz");
gStyle->SetTitleSize(33, "xyz");
gStyle->SetLabelFont(43, "xyz");
gStyle->SetLabelSize(27, "xyz");
//std::string infile = "EPS_data_nodeltaphi/hplus_100.root";
//std::string infile = "EPS_data_deltaphi160/hplus_100.root";
std::stringstream s;
s << "lands_histograms_hplushadronic_m" << mass << ".root";
std::string infile = s.str();
// Canvas
TCanvas *myCanvas = new TCanvas("myCanvas", "",0,0,600,600);
myCanvas->SetHighLightColor(2);
myCanvas->Range(0,0,1,1);
myCanvas->SetFillColor(0);
myCanvas->SetBorderMode(0);
myCanvas->SetBorderSize(2);
if (log)
myCanvas->SetLogy();
myCanvas->SetTickx(1);
myCanvas->SetTicky(1);
myCanvas->SetLeftMargin(0.16);
myCanvas->SetRightMargin(0.05);
myCanvas->SetTopMargin(0.05);
myCanvas->SetBottomMargin(0.08);
myCanvas->SetFrameFillStyle(0);
myCanvas->SetFrameBorderMode(0);
myCanvas->SetFrameFillStyle(0);
myCanvas->SetFrameBorderMode(0);
myCanvas->cd();
Int_t ci;
TFile* f = TFile::Open(infile.c_str());
s.str("");
s << "HW" << mass << "_1";
TH1* hw = (TH1*)f->Get(s.str().c_str());
s.str("");
s << "HH" << mass << "_1";
TH1* hh = (TH1*)f->Get(s.str().c_str());
TH1* data = (TH1*)f->Get("data_obs");
data->SetLineWidth(2);
data->SetMarkerStyle(20);
data->SetMarkerSize(1.2);
TH1* ewktau = (TH1*)f->Get("EWK_Tau");
ci = TColor::GetColor("#993399");
ewktau->SetFillColor(ci);
ewktau->SetLineWidth(0);
TH1* ewkDY = (TH1*)f->Get("EWK_DYx");
TH1* ewkVV = (TH1*)f->Get("EWK_VVx");
ewktau->Add(ewkDY);
ewktau->Add(ewkVV);
//TH1* qcd = (TH1*)f->Get("QCDInv");
TH1* qcd = (TH1*)f->Get("QCD");
ci = TColor::GetColor("#ffcc33");
qcd->SetFillColor(ci);
qcd->SetLineWidth(0);
TH1* fakett = (TH1*)f->Get("fake_tt");
ci = TColor::GetColor("#669900");
fakett->SetFillColor(ci);
fakett->SetLineWidth(0);
TH1* fakeW = (TH1*)f->Get("fake_W");
ci = TColor::GetColor("#cc3300");
fakeW->SetFillColor(ci);
fakeW->SetLineWidth(0);
TH1* faket = (TH1*)f->Get("fake_t");
TH1F *hFrame = new TH1F("hFrame","",20,0,400);
hFrame->SetMinimum(ymin);
if (log)
hFrame->SetMaximum(ymax*1.5);
else
hFrame->SetMaximum(ymax);
hFrame->SetDirectory(0);
hFrame->SetStats(0);
hFrame->SetLineStyle(0);
hFrame->SetMarkerStyle(20);
hFrame->SetXTitle("Transverse mass (#tau jet, E_{T}^{miss}), (GeV/c^{2})");
if (paperStatus)
hFrame->SetXTitle("Transverse mass (#tau_{h}, E_{T}^{miss}), (GeV/c^{2})");
hFrame->SetYTitle("Events / 20 GeV/c^{2}");
hFrame->GetXaxis()->SetTitleSize(0);
hFrame->GetXaxis()->SetLabelSize(0);
hFrame->GetYaxis()->SetTitleFont(43);
hFrame->GetYaxis()->SetTitleSize(27);
hFrame->GetYaxis()->SetTitleOffset(1.3);
// signal
hh->Scale(br*br);
hw->Scale(2*br*(1.0-br));
TH1* signal = (TH1*)hh->Clone();
signal->Add(hw);
ci = TColor::GetColor("#ff3399");
signal->SetLineColor(ci);
signal->SetLineStyle(2);
signal->SetLineWidth(2);
// Fakes
TH1* fakes = (TH1*)(fakett->Clone());
fakes->Add(fakeW);
fakes->Add(faket);
// stacked backgrounds
THStack *exp = new THStack();
exp->SetName("exp");
exp->SetTitle("exp");
exp->Add(fakes);
exp->Add(ewktau);
exp->Add(qcd);
exp->Add(signal);
TH1* hExpBkg = (TH1*)fakes->Clone();
hExpBkg->Add(ewktau);
hExpBkg->Add(qcd);
// uncertainty
TH1* uncert = (TH1*)fakeW->Clone();
uncert->Add(fakett);
uncert->Add(ewktau);
uncert->Add(qcd);
uncert->SetFillColor(1);
uncert->SetFillStyle(3344);
uncert->SetLineColor(0);
uncert->SetLineStyle(0);
uncert->SetLineWidth(0);
TH1* hExpBkgTotalUncert = (TH1*)uncert->Clone();
hExpBkgTotalUncert->SetFillStyle(3354);
TH1* hAgreement = (TH1*)data->Clone();
hAgreement->Divide(hExpBkg);
TGraphErrors* hAgreementRelUncert = new TGraphErrors(hAgreement->GetNbinsX());
hAgreementRelUncert->SetLineWidth(2);
hAgreementRelUncert->SetLineColor(kBlack);
for (int i = 1; i <= hFrame->GetNbinsX(); ++i) {
double myQCDTotalUncert = TMath::Power(qcd->GetBinError(i), 2)
+ TMath::Power(qcd->GetBinContent(i)*myQCDRelUncert, 2);
double myEWKTotalUncert = TMath::Power(ewktau->GetBinError(i), 2)
+ TMath::Power(ewktau->GetBinContent(i)*myEWKRelUncert, 2);
double myFakesTotalUncert = TMath::Power(fakes->GetBinError(i), 2)
+ TMath::Power(fakes->GetBinContent(i)*myFakesRelUncert, 2);
hExpBkgTotalUncert->SetBinError(i, TMath::Sqrt(myQCDTotalUncert + myEWKTotalUncert + myFakesTotalUncert));
if (hExpBkg->GetBinContent(i) > 0) {
hAgreementRelUncert->SetPoint(i-1, hExpBkg->GetBinCenter(i), data->GetBinContent(i) / hExpBkg->GetBinContent(i));
double myUncertData = 0;
if (data->GetBinContent(i) > 0)
myUncertData = TMath::Power(data->GetBinError(i) / data->GetBinContent(i), 2);
double myUncertBkg = (myQCDTotalUncert + myEWKTotalUncert + myFakesTotalUncert) / TMath::Power(hExpBkg->GetBinContent(i), 2);
hAgreementRelUncert->SetPointError(i-1, 0, data->GetBinContent(i) / hExpBkg->GetBinContent(i) * TMath::Sqrt(myUncertData + myUncertBkg));
} else {
hAgreementRelUncert->SetPoint(i-1, hExpBkg->GetBinCenter(i), 0);
hAgreementRelUncert->SetPointError(i-1, 0, 0);
}
if (debug) {
cout << "Point: " << hAgreementRelUncert->GetX()[i-1]-10 << "-" << hAgreementRelUncert->GetX()[i-1]+10
<< " GeV/c2, agreement: " << hAgreementRelUncert->GetY()[i-1] << ", uncert: " << hAgreement->GetBinError(i) << ", " << hAgreementRelUncert->GetErrorY(i-1) << endl;
cout << " bkg. stat. uncert. " << hExpBkg->GetBinError(i) << " (i.e. " << hExpBkg->GetBinError(i) / hExpBkg->GetBinContent(i) * 100.0 << " %)"
<< ", stat+syst uncert. " << TMath::Sqrt(myQCDTotalUncert + myEWKTotalUncert + myFakesTotalUncert)
<< " (i.e. " << TMath::Sqrt(myQCDTotalUncert + myEWKTotalUncert + myFakesTotalUncert) / hExpBkg->GetBinContent(i) * 100.0 << " %)" << endl;
}
}
// Agreement pad
TPad* pad = new TPad("ratiopad","ratiopad",0.,0.,1.,.3);
pad->Draw();
pad->cd();
pad->Range(0,0,1,1);
pad->SetFillColor(0);
pad->SetFillStyle(4000);
pad->SetBorderMode(0);
pad->SetBorderSize(2);
pad->SetTickx(1);
pad->SetTicky(1);
pad->SetLeftMargin(0.16);
pad->SetRightMargin(0.05);
pad->SetTopMargin(0);
pad->SetBottomMargin(0.34);
pad->SetFrameFillStyle(0);
pad->SetFrameBorderMode(0);
// Plot here ratio
if (1.0-delta > 0)
hAgreement->SetMinimum(1.0-delta);
else
hAgreement->SetMinimum(0.);
hAgreement->SetMaximum(1.0+delta);
hAgreement->GetXaxis()->SetLabelOffset(0.007);
hAgreement->GetXaxis()->SetLabelFont(43);
hAgreement->GetXaxis()->SetLabelSize(27);
hAgreement->GetYaxis()->SetLabelFont(43);
hAgreement->GetYaxis()->SetLabelSize(27);
hAgreement->GetYaxis()->SetLabelOffset(0.007);
hAgreement->GetYaxis()->SetNdivisions(505);
hAgreement->GetXaxis()->SetTitleFont(43);
hAgreement->GetYaxis()->SetTitleFont(43);
hAgreement->GetXaxis()->SetTitleSize(33);
hAgreement->GetYaxis()->SetTitleSize(33);
hAgreement->SetTitleSize(27, "xyz");
hAgreement->GetXaxis()->SetTitleOffset(3.2);
hAgreement->GetYaxis()->SetTitleOffset(1.3);
hAgreement->SetXTitle(hFrame->GetXaxis()->GetTitle());
hAgreement->SetYTitle("Data/#Sigmabkg");
hAgreement->Draw("e2");
// Plot line at zero
TH1* hAgreementLine = dynamic_cast<TH1*>(hAgreement->Clone());
for (int i = 1; i <= hAgreementLine->GetNbinsX(); ++i) {
hAgreementLine->SetBinContent(i,1.0);
hAgreementLine->SetBinError(i,0.0);
}
hAgreementLine->SetLineColor(kRed);
hAgreementLine->SetLineWidth(2);
hAgreementLine->SetLineStyle(3);
hAgreementLine->Draw("hist same");
hAgreement->Draw("same");
hAgreementRelUncert->Draw("[]");
pad->RedrawAxis();
myCanvas->cd();
TPad* plotpad = new TPad("plotpad", "plotpad",0,0.3,1.,1.);
plotpad->Draw();
plotpad->cd();
plotpad->Range(0,0,1,1);
plotpad->SetFillColor(0);
plotpad->SetFillStyle(4000);
plotpad->SetBorderMode(0);
plotpad->SetBorderSize(2);
//if (logy)
// plotpad->SetLogy();
plotpad->SetTickx(1);
plotpad->SetTicky(1);
plotpad->SetLeftMargin(0.16);
plotpad->SetRightMargin(0.05);
plotpad->SetTopMargin(0.065);
plotpad->SetBottomMargin(0.0);
plotpad->SetFrameFillStyle(0);
plotpad->SetFrameBorderMode(0);
hFrame->GetXaxis()->SetTitleSize(0);
hFrame->GetXaxis()->SetLabelSize(0);
hFrame->GetYaxis()->SetTitleFont(43);
hFrame->GetYaxis()->SetTitleSize(33);
hFrame->GetYaxis()->SetTitleOffset(1.3);
// Draw objects
hFrame->Draw();
exp->Draw("hist same");
uncert->Draw("E2 same");
hExpBkgTotalUncert->Draw("E2 same");
// Data
data->Draw("same");
//signal->Draw("same");
TLegend *leg = new TLegend(0.53,0.6,0.87,0.91,NULL,"brNDC");
leg->SetBorderSize(0);
leg->SetTextFont(63);
leg->SetTextSize(18);
leg->SetLineColor(1);
leg->SetLineStyle(1);
leg->SetLineWidth(1);
leg->SetFillColor(kWhite);
//leg->SetFillStyle(4000); // enabling this will cause the plot to be erased from the pad
TLegendEntry* entry = leg->AddEntry(data, "Data", "P");
s.str("");
s << "with H^{#pm}#rightarrow#tau^{#pm}#nu";
entry = leg->AddEntry(signal, s.str().c_str(), "L");
entry = leg->AddEntry(qcd, "QCD (meas.)", "F");
entry = leg->AddEntry(ewktau, "EWK genuine #tau (meas.)", "F");
entry = leg->AddEntry(fakes, "EWK fake #tau (MC)", "F");
entry = leg->AddEntry(uncert, "stat. uncert.", "F");
entry = leg->AddEntry(hExpBkgTotalUncert, "stat. #oplus syst. uncert.", "F");
leg->Draw();
string myTitle = "CMS Preliminary";
if (paperStatus)
myTitle = "CMS";
TLatex *tex = new TLatex(0.62,0.945,myTitle.c_str());
tex->SetNDC();
tex->SetTextFont(43);
tex->SetTextSize(27);
tex->SetLineWidth(2);
tex->Draw();
tex = new TLatex(0.2,0.945,"#sqrt{s} = 7 TeV");
tex->SetNDC();
tex->SetTextFont(43);
tex->SetTextSize(27);
tex->SetLineWidth(2);
tex->Draw();
tex = new TLatex(0.43,0.945,"2.2 fb^{-1}");
tex->SetNDC();
tex->SetTextFont(43);
tex->SetTextSize(27);
tex->SetLineWidth(2);
tex->Draw();
s.str("");
s << "m_{H^{#pm}} = " << mass << " GeV/c^{2}";
tex = new TLatex(0.28,0.865,s.str().c_str());
tex->SetNDC();
tex->SetTextFont(63);
tex->SetTextSize(20);
tex->SetLineWidth(2);
tex->Draw();
s.str("");
s << "BR(t#rightarrowbH^{#pm})=" << setprecision(2) << br;
tex = new TLatex(0.28,0.805,s.str().c_str());
tex->SetNDC();
tex->SetTextFont(63);
tex->SetTextSize(20);
tex->SetLineWidth(2);
tex->Draw();
plotpad->RedrawAxis();
plotpad->Modified();
s.str("");
s << "mT_datadriven_m" << mass << ".png";
myCanvas->Print(s.str().c_str());
s.str("");
s << "mT_datadriven_m" << mass << ".C";
myCanvas->Print(s.str().c_str());
s.str("");
s << "mT_datadriven_m" << mass << ".eps";
myCanvas->Print(s.str().c_str());
}
//------------------------------------------------------------------------------
// DrawHistogram
//------------------------------------------------------------------------------
void DrawHistogram(TString hname,
TString xtitle,
Int_t ngroup = -1,
Int_t precision = 1,
TString units = "NULL",
Double_t xmin = -999,
Double_t xmax = 999,
Bool_t moveOverflow = true)
{
//TCanvas* canvas = new TCanvas(hname, hname, 550, 720);
TCanvas* canvas = new TCanvas(hname, hname, 800, 800);
TPad* pad1 = new TPad("pad1", "pad1", 0, 0.3, 1, 1.0);
TPad* pad2 = new TPad("pad2", "pad2", 0, 0.0, 1, 0.3);
pad1->SetTopMargin (0.08);
pad1->SetBottomMargin(0.02);
pad1->Draw();
pad2->SetTopMargin (0.08);
pad2->SetBottomMargin(0.35);
pad2->Draw();
//----------------------------------------------------------------------------
// pad1
//----------------------------------------------------------------------------
pad1->cd();
pad1->SetLogy(_setLogy);
THStack* hstack = new THStack(hname, hname);
TH1F* hist[nProcesses];
TH1F* hist_0[nProcesses]; // 0-jet
TH1F* hist_1[nProcesses]; // 1-jet
for (UInt_t ip=0; ip<nProcesses; ip++) {
if( _njet == 10 ){
hist_0[ip] = (TH1F*)input_0[ip]->Get(hname);
hist_1[ip] = (TH1F*)input_1[ip]->Get(hname);
}else{
//hist[ip] = (TH1F*)input[ip]->Get(hname);
//hist[ip]->SetName(hname + process[ip]);
}
if (moveOverflow){
if(_njet ==10){
MoveOverflowBins (hist_0[ip], xmin, xmax);
MoveOverflowBins (hist_1[ip], xmin, xmax);
}else{
//MoveOverflowBins (hist[ip], xmin, xmax);
}
}else{
if(_njet == 10){
ZeroOutOfRangeBins(hist_0[ip], xmin, xmax);
ZeroOutOfRangeBins(hist_1[ip], xmin, xmax);
}else{
//ZeroOutOfRangeBins(hist[ip], xmin, xmax);
}
}
if (ngroup > 0){
if(_njet == 10){
hist_0[ip]->Rebin(ngroup);
hist_1[ip]->Rebin(ngroup);
}else{
//hist[ip]->Rebin(ngroup);
}
}
// Add 0, 1 jet
if (ip == iData) {
if(_njet == 10 ){
hist[ip] = (TH1F*)hist_0[ip]->Clone(hname+process[ip]);
hist[ip]->Add(hist_1[ip]);
hist[ip]->SetMarkerStyle(kFullCircle);
}else{
//hist[ip]->SetMarkerStyle(kFullCircle);
}
}
else {
if(_njet == 10){
if (_dataDriven && ip == itt) hist_0[ip]->Scale(ttScale[0]);
if (_dataDriven && ip == itW) hist_0[ip]->Scale(tWScale[0]);
if (_dataDriven && ip == iWW) hist_0[ip]->Scale(WWScale[0]);
if (_dataDriven && ip == iDY) hist_0[ip]->Scale(ZjScale[0]);
if (_dataDriven && ip == iDYtau) hist_0[ip]->Scale(ZjScale[0]);
if (_dataDriven && ip == itt) hist_1[ip]->Scale(ttScale[1]);
if (_dataDriven && ip == itW) hist_1[ip]->Scale(tWScale[1]);
if (_dataDriven && ip == iWW) hist_1[ip]->Scale(WWScale[1]);
if (_dataDriven && ip == iDY) hist_1[ip]->Scale(ZjScale[1]);
if (_dataDriven && ip == iDYtau) hist_1[ip]->Scale(ZjScale[1]);
hist[ip] = (TH1F*)hist_0[ip]->Clone(hname+process[ip]);
hist[ip]->Add(hist_1[ip]);
hist[ip]->SetFillColor(color[ip]);
hist[ip]->SetFillStyle(1001);
hist[ip]->SetLineColor(color[ip]);
}else{
//hist[ip]->SetFillColor(color[ip]);
//hist[ip]->SetFillStyle(1001);
//hist[ip]->SetLineColor(color[ip]);
//if (_dataDriven && ip == itt) hist[ip]->Scale(ttScale[_njet]);
//if (_dataDriven && ip == itW) hist[ip]->Scale(tWScale[_njet]);
//if (_dataDriven && ip == iWW) hist[ip]->Scale(WWScale[_njet]);
//if (_dataDriven && ip == iDY) hist[ip]->Scale(ZjScale[_njet]);
//if (_dataDriven && ip == iDYtau) hist[ip]->Scale(ZjScale[_njet]);
}
hstack->Add(hist[ip]);
}
}
//=========================================================
//Save histograms to root file to draw paper style plots
//=========================================================
//TFile* outfile;
//TString fname = Form("files/%s_%djet.root", hname.Data(),_njet);
//TString fname = "files/0jet_"+hname+".root";
//if(_njet==1) fname = "files/1jet_"+hname+".root";
//if(_njet==10) fname = "files/10jet_"+hname+".root";
//outfile = new TFile(fname, "create");
//if(ip == iData) TH1F* data = (TH1F*)hist[iData]->Clone("Data"); //data -> Sumw2();
//if(ip == itt) TH1F* top = (TH1F*)hist[itt]->Clone("top"); //top -> Sumw2();
//if(ip == itW) TH1F* tW = (TH1F*)hist[itW]->Clone("tW"); //tW -> Sumw2();
//if(ip == iWW) TH1F* WW = (TH1F*)hist[iWW]->Clone("WW"); //WW -> Sumw2();
//if(ip == iWZ) TH1F* VVandVVV = (TH1F*)hist[iWZ]->Clone("VVandVVV"); //VV -> Sumw2();
//if(ip == iZZ) TH1F* ZZ = (TH1F*)hist[iZZ]->Clone("ZZ"); //ZZ -> Sumw2();
//if(ip == iWg) TH1F* Wg = (TH1F*)hist[iWg]->Clone("Wg"); //Wg -> Sumw2();
//if(ip == iWj) TH1F* Wjets = (TH1F*)hist[iWj]->Clone("W+jets"); //Wjets -> Sumw2();
//if(ip == iDY) TH1F* Zjets = (TH1F*)hist[iDY]->Clone("Z+jets"); //Zjets -> Sumw2();
//if(ip == iDYtau) TH1F* DYtau = (TH1F*)hist[iDYtau]->Clone("DYtau"); //DYtau -> Sumw2();
//if(ip == iZgamma) TH1F* Zgamma = (TH1F*)hist[iZgamma]->Clone("Zgamma"); //Zgamma -> Sumw2();
//if(ip == iH125) TH1F* ggH = (TH1F*)hist[iH125]->Clone("ggH"); //ggH -> Sumw2();
//
//top -> Add(tW);
//VVandVVV -> Add(ZZ);
//VVandVVV -> Add(Wg);
//Zjets -> Add(DYtau);
//Zjets -> Add(Zgamma);
//
//data -> Write();
//top -> Write();
//WW -> Write();
//VVandVVV -> Write();
//Wjets -> Write();
//Zjets -> Write();
//ggH -> Write();
//
//outfile -> Close();
//
//=========================================================
//Draw paper style plots
//=========================================================
//Use LatinoPlotTools.
//As input root file, use above saved root file "outfile"
//Run the following executable file:
//https://github.com/latinos/LatinoPlotTools/blob/master/WWRunI/scripts/doHWidth_Top_control.sh
// All MC
//----------------------------------------------------------------------------
TH1F* allmc = (TH1F*)hist[iData]->Clone("allmc");
allmc->SetFillColor (kGray+2);
allmc->SetFillStyle ( 3345);
allmc->SetLineColor (kGray+2);
allmc->SetMarkerColor(kGray+2);
allmc->SetMarkerSize ( 0);
for (UInt_t ibin=1; ibin<=allmc->GetNbinsX(); ibin++) {
Double_t binValue = 0;
Double_t binError = 0;
for (UInt_t ip=0; ip<nProcesses; ip++) {
if (ip == iData) continue;
Double_t binContent = hist[ip]->GetBinContent(ibin);
binValue += binContent;
binError += (hist[ip]->GetBinError(ibin) * hist[ip]->GetBinError(ibin));
//We need to calculate systematic uncertainty for ggH case
// if (_dataDriven)
// binError += (systError[ip]*binContent * systError[ip]*binContent);
}
binError = sqrt(binError);
allmc->SetBinContent(ibin, binValue);
allmc->SetBinError (ibin, binError);
}
// Axis labels
//----------------------------------------------------------------------------
TAxis* xaxis = hist[iData]->GetXaxis();
TAxis* yaxis = hist[iData]->GetYaxis();
TString ytitle = Form("entries / %s.%df", "%", precision);
xaxis->SetTitle(xtitle);
yaxis->SetTitle(Form(ytitle.Data(), hist[iData]->GetBinWidth(0)));
yaxis->SetTitleOffset(1.6);
if (!units.Contains("NULL")) {
xaxis->SetTitle(Form("%s [%s]", xaxis->GetTitle(), units.Data()));
yaxis->SetTitle(Form("%s %s", yaxis->GetTitle(), units.Data()));
}
// Draw
//----------------------------------------------------------------------------
xaxis->SetRangeUser(xmin, xmax);
hist[iData]->Draw("ep");
hstack ->Draw("hist,same");
allmc ->Draw("e2,same");
hist[iData]->Draw("ep,same");
// Adjust scale
//----------------------------------------------------------------------------
Float_t theMax = GetMaximumIncludingErrors(hist[iData], xmin, xmax);
Float_t theMaxMC = GetMaximumIncludingErrors(allmc, xmin, xmax);
if (theMaxMC > theMax) theMax = theMaxMC;
if (pad1->GetLogy()) {
theMax = TMath::Power(10, TMath::Log10(theMax) + 2.7);
hist[iData]->SetMinimum(0.05);
}
else theMax *= 1.55;
hist[iData]->SetMaximum(theMax);
// Legend
//----------------------------------------------------------------------------
Double_t x0 = 0.720;
Double_t y0 = 0.834;
Double_t yoffset = 0.048;
Double_t delta = yoffset + 0.001;
Double_t ndelta = 0;
Double_t YieldTop = Yield(hist[itt]) + Yield(hist[itW]);
Double_t YieldVV = Yield(hist[iWZ]) + Yield(hist[iZZ]) + Yield(hist[iWg]);
//Double_t YieldZJets = Yield(hist[iDY]) + Yield(hist[iDYtau]);
Double_t YieldZJets = Yield(hist[iDY]) + Yield(hist[iDYtau]) + Yield(hist[iZgamma]);
DrawLegend(x0 - 0.49, y0 - ndelta, hist[iData], Form(" data (%.0f)", Yield(hist[iData])), "lp", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.49, y0 - ndelta, allmc, Form(" all (%.0f)", Yield(allmc)), "f", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.49, y0 - ndelta, hist[iWW], Form(" WW (%.0f)", Yield(hist[iWW])), "f", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.49, y0 - ndelta, hist[iWZ], Form(" VV (%.0f)", YieldVV), "f", 0.03, 0.2, yoffset); ndelta += delta;
ndelta = 0;
DrawLegend(x0 - 0.23, y0 - ndelta, hist[iDY], Form(" Z+jets (%.0f)", YieldZJets), "f", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.23, y0 - ndelta, hist[iWj], Form(" W+jets (%.0f)", Yield(hist[iWj])), "f", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.23, y0 - ndelta, hist[itt], Form(" top (%.0f)", YieldTop), "f", 0.03, 0.2, yoffset); ndelta += delta;
//DrawLegend(x0 - 0.23, y0 - ndelta, hist[iH125], Form(" Higgs (%.0f)", Yield(hist[iH125])), "f", 0.03, 0.2, yoffset); ndelta += delta;
DrawLegend(x0 - 0.23, y0 - ndelta, hist[iH125], Form(" ggH (%.0f)", Yield(hist[iH125])), "f", 0.03, 0.2, yoffset); ndelta += delta;
// Additional titles
//----------------------------------------------------------------------------
//TString channelLabel = "ee/#mu#mu/e#mu/#mue";
TString channelLabel = "";
//if (_channel == "EE") channelLabel = "ee";
//if (_channel == "MuMu") channelLabel = "#mu#mu";
//if (_channel == "EMu") channelLabel = "e#mu";
//if (_channel == "MuE") channelLabel = "#mue";
//if (_channel == "SF") channelLabel = "ee/#mu#mu";
//if (_channel == "OF") channelLabel = "e#mu/#mue";
if( _njet != 10)
channelLabel += Form(" %d", _njet);
if (_njet == 0) channelLabel += "-jets";
if (_njet == 1) channelLabel += "-jet";
if (_njet >= 2 && _njet!= 10) channelLabel += "-jets";
if ( _njet== 10) channelLabel += "SS 0+1 jets";
DrawTLatex(0.185, 0.975, 0.05, 13, channelLabel.Data());
DrawTLatex(0.940, 0.983, 0.05, 33, Form("L = %.1f fb^{-1}", _luminosity/1e3));
//----------------------------------------------------------------------------
// pad2
//----------------------------------------------------------------------------
pad2->cd();
TH1F* ratio = hist[iData]->Clone("ratio");
TH1F* uncertainty = allmc->Clone("uncertainty");
for (UInt_t ibin=1; ibin<=ratio->GetNbinsX(); ibin++) {
Double_t mcValue = allmc->GetBinContent(ibin);
Double_t mcError = allmc->GetBinError (ibin);
Double_t dtValue = ratio->GetBinContent(ibin);
Double_t dtError = ratio->GetBinError (ibin);
Double_t ratioValue = (mcValue > 0) ? dtValue/mcValue : 0.0;
Double_t ratioError = (mcValue > 0) ? dtError/mcValue : 0.0;
Double_t uncertaintyError = (mcValue > 0) ? mcError/mcValue : 0.0;
ratio->SetBinContent(ibin, ratioValue);
ratio->SetBinError (ibin, ratioError);
uncertainty->SetBinContent(ibin, 1.0);
uncertainty->SetBinError (ibin, uncertaintyError);
}
TAxis* uaxis = (TAxis*)uncertainty->GetXaxis();
uaxis->SetRangeUser(xmin, xmax);
uncertainty->Draw("e2");
ratio ->Draw("ep,same");
uncertainty->GetYaxis()->SetRangeUser(0, 2.5);
// Save
//----------------------------------------------------------------------------
pad2->cd(); SetAxis(uncertainty, hist[iData]->GetXaxis()->GetTitle(), "data / prediction", 0.10, 0.8);
pad1->cd(); SetAxis(hist[iData], "", hist[iData]->GetYaxis()->GetTitle(), 0.05, 1.6);
canvas->cd();
TString suffixLogy = (_setLogy) ? "_Log" : "_Lin";
canvas->SaveAs(Form("%s/%s%s.%s",
_output.Data(),
hname.Data(),
suffixLogy.Data(),
_format.Data()));
}
//------------------------------------------------------------------------
void DrawCFD()
{
Int_t npeaks = 20;
Int_t sigma=3.;
Bool_t down=false;
Int_t index[20];
TCanvas *c1 = new TCanvas("c1", "CFD C side",0,48,1280,951);
c1->Divide(4,3);
gStyle->SetOptFit(1111);
//c1->Divide(2,2);
Char_t buf1[10];
for (Int_t i=0; i<12; i++)
{
c1->cd(i+1);
sprintf(buf1,"T0_C_%i_CFD",i+1);
TH1F *cfd = (TH1F*) gFile->Get(buf1);
// cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.05);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0){
Float_t *xpeak = s->GetPositionX();
TMath::Sort(nfound, xpeak, index,down);
Float_t xp = xpeak[index[0]];
cout<<" index[0] "<<index[0]<<endl;
// Float_t xp = xpeak[1];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[1]<<"\typeak = "<<yp<<endl;
Float_t hmax = xp+3*sigma;
Float_t hmin = xp-3*sigma;
cout<<hmin<< " "<<hmax<<endl;
cfd->GetXaxis()->SetRange(hmin-10,hmax+10);
cout<<" cfd range "<<hmin-10<<" "<<hmax+10<<endl;
cfd->GetXaxis()->SetLabelSize(0.03);
TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
cfd->Fit("g1","R");
// cfd->Draw();
}
}
TCanvas *c2 = new TCanvas("c2", "CFD A side",0,48,1280,951);
c2->Divide(4,3);
gStyle->SetOptFit(1111);
//c1->Divide(2,2);
Char_t buf1[10];
for (Int_t i=0; i<12; i++)
{
c2->cd(i+1);
sprintf(buf1,"T0_A_%i_CFD",i+1);
TH1F *cfd = (TH1F*) gFile->Get(buf1);
// cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.05);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0){
Float_t *xpeak = s->GetPositionX();
TMath::Sort(nfound, xpeak, index,down);
Float_t xp = xpeak[index[0]];
cout<<" index[0] "<<index[0]<<endl;
// Float_t xp = xpeak[1];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[1]<<"\typeak = "<<yp<<endl;
Float_t hmax = xp+3*sigma;
Float_t hmin = xp-3*sigma;
cout<<hmin<< " "<<hmax<<endl;
cfd->GetXaxis()->SetRange(hmin-10,hmax+10);
cout<<" cfd range "<<hmin-10<<" "<<hmax+10<<endl;
cfd->GetXaxis()->SetLabelSize(0.03);
TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
cfd->Fit("g1","R");
// cfd->Draw();
}
}
}
//------------------------------------------------------------------------
void DrawCFDvsLED()
{
Int_t runNumber=1098;
Int_t npeaks = 20;
Int_t sigma=2.;
Char_t buf1[10], buf2[10];
TCanvas *c1 = new TCanvas("c1", "c1",0,48,1280,951);
gStyle->SetOptStat(0);
c1->Divide(4,3);
for (Int_t i=0; i<12; i++)
{
c1->cd(i+1);
sprintf(buf1,"T0_C_%i_CFD",i+1);
sprintf(buf2,"CFDvsLED%i",i+1);
TH2F *qtc_cfd = (TH2F*) gFile->Get(buf2);
//qtc_cfd->Draw();
TH1F *cfd = (TH1F*) gFile->Get(buf1);
// cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.05);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0){
Double_t max=0.0;
Double_t tabmax[2] = {0.0, 0.0};
Float_t *xpeak = s->GetPositionX();
for(Int_t k=0; k<1 ;k++)
{
Float_t xp = xpeak[k];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[k]<<"\typeak = "<<yp<<endl;
}
Float_t hmin=xp-10*sigma;
Float_t hmax =xp+10*sigma;
cout<<hmin<< " "<<hmax<<endl;
// cfd->GetXaxis()->SetRange(hmin,hmax);
// TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
// cfd->Fit("g1","R");
Int_t hminbin= qtc_cfd->GetXaxis()->GetFirst();
Int_t hmaxbin= qtc_cfd->GetXaxis()->GetLast();
Int_t nbins= qtc_cfd->GetXaxis()->GetNbins();
cout<<" qtc_cfd "<<hminbin<<" "<<hmaxbin<<" "<<nbins<<endl;
qtc_cfd->Draw();
/*TProfile *pr_y = qtc_cfd->ProfileX();
pr_y->SetMaximum(hmax);
pr_y->SetMinimum(hmin);
Int_t np=nbins/20;
Double_t *xx = new Double_t[np];
Double_t *yy = new Double_t[np];
Int_t ng=0;
Double_t yg=0;
for (Int_t ip=1; ip<nbins; ip++)
{
if(ip%20 != 0 ) {
if (pr_y->GetBinContent(ip) !=0)
yg +=pr_y->GetBinContent(ip);
// cout<<ng<<" "<<pr_y->GetBinContent(ip)<<" "<<yg<<endl;
ng++;}
else {
xx[ip/20] = Float_t (ip);
yy[ip/20] = yg/ng;
yg=0;
ng=0;
cout<<ip<<" "<<ip/20<<" "<< xx[ip/20]<<" "<< yy[ip/20]<<endl;
}
}
TH2F *hr = new TH2F("hr"," ",np,0,nbins, np, hmin, hmax);
hr->Draw();
TGraph *gr = new TGraph(np,xx,yy);
gr->SetMinimum(hmin);
gr->SetMaximum(hmax);
gr->Draw("P");
delete [] xx;
delete [] yy;
// pr_y->Rebin(10);
// pr_y->Draw();
*/
}
}
}
void plotDistribution( TChain* data , TChain *mc , TCut sel , TCut vtxweight , char* var , int nbins , float xmin , float xmax , char* xtitle , char* plottitle = "" , bool printplot = false , bool residual = false , bool log = false ){
//--------------------------------------
// define histograms and TGraphs
//--------------------------------------
TH1F* hdata = new TH1F(Form("hdata_%i" , iplot),Form("hdata_%i" , iplot),nbins,xmin,xmax);
TH1F* hmc = new TH1F(Form("hmc_%i" , iplot),Form("hmc_%i" , iplot),nbins,xmin,xmax);
TH1F* hmc_novtx = new TH1F(Form("hmc_novtx_%i" , iplot),Form("hmc_novtx%i" , iplot),nbins,xmin,xmax);
hdata->Sumw2();
hmc->Sumw2();
TGraphAsymmErrors* grdata = new TGraphAsymmErrors();
TGraphAsymmErrors* grmc = new TGraphAsymmErrors();
TH1F* hdata_denom = new TH1F(Form("hdata_denom_%i",iplot),"",nbins,xmin,xmax);
TH1F* hmc_denom = new TH1F(Form("hmc_denom_%i" ,iplot),"",nbins,xmin,xmax);
//--------------------------------------
// set up canvas and pads
//--------------------------------------
TCanvas *can = new TCanvas(Form("can_%i",iplot),Form("can_%i",iplot),600,600);
can->cd();
if( log ) gPad->SetLogy();
TPad *mainpad = new TPad("mainpad","mainpad",0.0,0.0,1.0,0.8);
if( residual ){
mainpad->Draw();
mainpad->cd();
if( log ) mainpad->SetLogy();
}
//--------------------------------------
// fill histos and TGraphs
//--------------------------------------
data->Draw(Form("min(%s,%f)>>hdata_%i" , var,xmax-0.0001,iplot),sel);
mc ->Draw(Form("min(%s,%f)>>hmc_%i" , var,xmax-0.0001,iplot),sel*vtxweight);
mc ->Draw(Form("min(%s,%f)>>hmc_novtx_%i" , var,xmax-0.0001,iplot),sel);
for( int ibin = 1 ; ibin <= nbins ; ibin++ ){
hdata_denom->SetBinContent(ibin,hdata->Integral());
hmc_denom->SetBinContent(ibin,hmc->Integral());
}
grdata->BayesDivide(hdata,hdata_denom);
grmc->BayesDivide(hmc_novtx,hmc_denom);
//--------------------------------------
// get efficiencies and errors
//--------------------------------------
/*
float ndata1 = (float) hdata->GetBinContent(1);
float ndata = (float) hdata->Integral();
float effdata = 1-ndata1 / ndata;
// TGraphAsymmErrors* grdata_temp = new TGraphAsymmErrors();
// TH1F* hdata_num_temp = new TH1F(Form("hdata_num_temp_%i",iplot),"",1,0,1);
// TH1F* hdata_den_temp = new TH1F(Form("hdata_den_temp_%i",iplot),"",1,0,1);
// hdata_num_temp->SetBinContent(1,ndata-ndata1);
// hdata_den_temp->SetBinContent(1,ndata);
// grdata_temp->BayesDivide(hdata_num_temp,hdata_den_temp);
//float effdataerr = sqrt(ndata1) / ndata;
float effdataerr = 0.5 * ( grdata->GetErrorYlow(0) + grdata->GetErrorYhigh(0) );
//float effdataerr = 0.5 * ( grdata_temp->GetErrorYlow(0) + grdata_temp->GetErrorYhigh(0) );
float nmc1 = (float) hmc->GetBinContent(1);
float nmc = (float) hmc->Integral();
float effmc = 1-nmc1 / nmc;
//float effmcerr = hmc->GetBinError(1) / nmc;
float effmcerr = 0.5 * ( grmc->GetErrorYlow(0) + grmc->GetErrorYhigh(0) );
float datatot = hdata->Integral();
float mctot = hmc->Integral();
cout << endl;
cout << plottitle << endl;
cout << "Data eff " << Form("%.2f +/- %.3f",effdata,effdataerr) << endl;
cout << "MC eff " << Form("%.2f +/- %.3f",effmc ,effmcerr) << endl;
cout << "Data/MC " << Form("%.2f +/- %.2f",ratio ,ratioerr) << endl;
*/
float ndata = hdata->Integral();
float ndata1 = hdata->Integral(2,20);
float ndata2 = hdata->Integral(3,20);
float ndata3 = hdata->Integral(4,20);
float ndata4 = hdata->Integral(5,20);
float ndata5 = hdata->Integral(6,20);
float nmc = hmc->Integral();
float nmc1 = hmc->Integral(2,20);
float nmc2 = hmc->Integral(3,20);
float nmc3 = hmc->Integral(4,20);
float nmc4 = hmc->Integral(5,20);
float nmc5 = hmc->Integral(6,20);
float effdata1 = ndata1/ndata;
float effdata2 = ndata2/ndata;
float effdata3 = ndata3/ndata;
float effdata4 = ndata4/ndata;
float effdata5 = ndata5/ndata;
float effmc1 = nmc1/nmc;
float effmc2 = nmc2/nmc;
float effmc3 = nmc3/nmc;
float effmc4 = nmc4/nmc;
float effmc5 = nmc5/nmc;
float effdata1err = getBinomialError(ndata1,ndata);
float effdata2err = getBinomialError(ndata2,ndata);
float effdata3err = getBinomialError(ndata3,ndata);
float effdata4err = getBinomialError(ndata4,ndata);
float effdata5err = getBinomialError(ndata5,ndata);
float effmc1err = getBinomialError(nmc1,nmc);
float effmc2err = getBinomialError(nmc2,nmc);
float effmc3err = getBinomialError(nmc3,nmc);
float effmc4err = getBinomialError(nmc4,nmc);
float effmc5err = getBinomialError(nmc5,nmc);
float ratio1 = effdata1/effmc1;
float ratio2 = effdata2/effmc2;
float ratio3 = effdata3/effmc3;
float ratio4 = effdata4/effmc4;
float ratio5 = effdata5/effmc5;
float ratio1err = ratio1 * sqrt(pow(effdata1err/effdata1,2)+pow(effmc1err/effmc1,2));
float ratio2err = ratio2 * sqrt(pow(effdata2err/effdata2,2)+pow(effmc2err/effmc2,2));
float ratio3err = ratio3 * sqrt(pow(effdata3err/effdata3,2)+pow(effmc3err/effmc3,2));
float ratio4err = ratio4 * sqrt(pow(effdata4err/effdata4,2)+pow(effmc4err/effmc4,2));
float ratio5err = ratio5 * sqrt(pow(effdata5err/effdata5,2)+pow(effmc5err/effmc5,2));
cout << endl << endl << plottitle << endl;
int left = 20;
// char* delimstart = "|";
// char* delim = "|";
// char* delimend = "|";
// char* pm = "+/-";
char* delimstart = "";
char* delim = "&";
char* delimend = "\\\\";
char* pm = "$\\pm$";
cout << delimstart << setw(10) << "" << setw(4)
<< delim << setw(left) << "$>$ 1 GeV" << setw(4)
<< delim << setw(left) << "$>$ 2 GeV" << setw(4)
<< delim << setw(left) << "$>$ 3 GeV" << setw(4)
<< delim << setw(left) << "$>$ 4 GeV" << setw(4)
<< delim << setw(left) << "$>$ 5 GeV" << setw(4)
<< delimend << endl;
cout << delimstart << setw(10) << "data" << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effdata1,pm,effdata1err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effdata2,pm,effdata2err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effdata3,pm,effdata3err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effdata4,pm,effdata4err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effdata5,pm,effdata5err) << setw(4)
<< delimend << endl;
cout << delimstart << setw(10) << "mc" << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effmc1,pm,effmc1err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effmc2,pm,effmc2err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effmc3,pm,effmc3err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effmc4,pm,effmc4err) << setw(4)
<< delim << setw(left) << Form("%.3f %s %.4f",effmc5,pm,effmc5err) << setw(4)
<< delimend << endl;
cout << delimstart << setw(10) << "data/mc" << setw(4)
<< delim << setw(left) << Form("%.2f %s %.2f",ratio1,pm,ratio1err) << setw(4)
<< delim << setw(left) << Form("%.2f %s %.2f",ratio2,pm,ratio2err) << setw(4)
<< delim << setw(left) << Form("%.2f %s %.2f",ratio3,pm,ratio3err) << setw(4)
<< delim << setw(left) << Form("%.2f %s %.2f",ratio4,pm,ratio4err) << setw(4)
<< delim << setw(left) << Form("%.2f %s %.2f",ratio5,pm,ratio5err) << setw(4)
<< delimend << endl;
//--------------------------------------
// draw stuff
//--------------------------------------
hdata->Scale(1.0/hdata->Integral());
hmc->Scale(1.0/hmc->Integral());
if( log ) hmc->GetYaxis()->SetRangeUser(0.0001,5);
else hmc->GetYaxis()->SetRangeUser(0.0,1);
hmc->GetXaxis()->SetTitle(xtitle);
hmc->SetLineColor(2);
hmc->SetMarkerColor(2);
hmc->DrawNormalized("hist");
hmc->DrawNormalized("sameE1");
hdata->SetLineColor(4);
hdata->SetMarkerColor(4);
hdata->Draw("sameE1");
grdata->SetLineColor(6);
grmc->SetLineColor(7);
//grdata->Draw("sameP");
//grmc->Draw("sameP");
TLegend *leg = new TLegend(0.6,0.7,0.8,0.9);
leg->AddEntry(hdata , "data" , "lp");
leg->AddEntry(hmc , "MC" , "lp");
leg->SetBorderSize(0);
leg->SetFillColor(0);
leg->Draw();
TLatex *t = new TLatex();
t->SetNDC();
if( TString(plottitle).Contains("el") ) t->DrawLatex(0.6,0.6,"electrons");
if( TString(plottitle).Contains("mu") ) t->DrawLatex(0.6,0.6,"muons");
if( TString(plottitle).Contains("0j") ) t->DrawLatex(0.6,0.5,"n_{jets} #geq 0");
if( TString(plottitle).Contains("1j") ) t->DrawLatex(0.6,0.5,"n_{jets} #geq 1");
if( TString(plottitle).Contains("2j") ) t->DrawLatex(0.6,0.5,"n_{jets} #geq 2");
if( TString(plottitle).Contains("3j") ) t->DrawLatex(0.6,0.5,"n_{jets} #geq 3");
if( TString(plottitle).Contains("4j") ) t->DrawLatex(0.6,0.5,"n_{jets} #geq 4");
//--------------------------------------
// draw residual plots
//--------------------------------------
if( residual ){
can->cd();
TPad *respad = new TPad("respad","respad",0.0,0.8,1.0,1.0);
respad->Draw();
respad->cd();
respad->SetGridy();
TH1F* hratio = (TH1F*) hdata->Clone(Form("hratio_%i",iplot));
hratio->Divide(hmc);
hratio->SetMarkerColor(1);
hratio->SetLineColor(1);
hratio->Draw();
hratio->GetYaxis()->SetRangeUser(0.5,1.5);
hratio->GetYaxis()->SetNdivisions(5);
hratio->GetYaxis()->SetLabelSize(0.2);
hratio->GetXaxis()->SetLabelSize(0.0);
TLine line;
line.DrawLine(xmin,1.0,xmax,1.0);
}
//data->Scan("run:lumi:event:probe->pt():probe->eta():tkisonew:met:mt:njets:nbl:nbm",sel+"tkisonew>20");
//data->Scan("run:lumi:event:probe->pt():probe->eta():tkisonew:met:mt:njets:nbl:nbm",sel);
if( printplot ) can->Print(Form("plots/%s.pdf",plottitle));
iplot++;
// TCanvas *c2 = new TCanvas();
// c2->cd();
// grdata->Draw("AP");
}
void dileptonMassFit(const char* pInFileName="PanchoSkim4JanAll.root",
// "PromtRecoV2V3V3H_DiMuonPlot_TightSTACutsAll15Dec.root",
// "Z0_DataMixPt50_PatDiMuonPlots_NewCutAll14Dec.root",
const char* pHistNameOpCh="diMuonsGlobalInvMassVsPt",//diMuonsGlobalInvMassVsPtW",
const char* pHistNameSameCh="diMuonsGlobalSameChargeInvMassVsPt",
const char* pSpectra="pt", // pt, y, centr
bool doMc=false,
int nFitFunction = 3,
int getYield = 1)
{
gROOT->Macro("setStyle.C+");
//gROOT->Macro("/Users/eusmartass/Software/utilities/setStyle.C+");
char szBuf[256];
//////// definitions of Switches ///////////
// nFitFunction = 1 RBW + Pol2
// nFitFunction = 2 Gaus + Pol2
// nFitFunction = 3 RBWGaus + Pol2
// getYield = 1 Bin counting
// getYield = 2 Integral
////////////////////////////////////////////////////////////
// make some choices
float MassZ0 = 91.1876;
float WidthZ0 = 2.4952;
float massFit_low = 60;
float massFit_high = 120; // Fit ranges
float massDraw_low = 30.0; // 0.
float massDraw_high = 130.0; // 200/
int nrebin = 80;
bool isLog = 0;
bool isFit = 1; // draw ranges
float massCount_low = 60.0; //78.0
float massCount_high = 120.0; //102.0
//___________________________________________________________________________________
// ------- Open input file
sprintf(szBuf,"%s",pInFileName);
TString inFileName(szBuf);
TFile *pfInFile = new TFile(inFileName);
// ------- get histograms:
sprintf(szBuf,"%s",pHistNameOpCh);
TH2D *phDimuMass_1 = (TH2D*)pfInFile->Get(szBuf)->Clone("phDimuMass_1");
sprintf(szBuf,"%s",pHistNameSameCh);
TH2D *phDimuMass_1S = (TH2D*)pfInFile->Get(szBuf)->Clone("phDimuMass_1S");
phDimuMass_1->SetDirectory(0);
phDimuMass_1S->SetDirectory(0);
// Open pp data file
TFile *ppFile = new TFile("Zmumu_40-200_35pb.root");
TH1F *Zmumu = (TH1F*)ppFile->Get("hdata");
//___________________________________________________________________________________
// bins definition:
const char* Xname[] = {" ", "p_{T}^{Dimuon} (GeV/c)", "rapidity", "centrality"};
bool doPt = false;
bool doY = false;
bool doCent = false;
int GenRange, nBins;
double binEdge[10];
char* label;
sprintf(szBuf,"%s",pSpectra);
TString wichSpectra(szBuf);
if ( wichSpectra.CompareTo("pt") == 0) {
doPt = true;
label = (char*)Xname[1];
GenRange = 20;
nBins = 1;
binEdge[0] = 0.0;
binEdge[1]= 100.0;
// double binEdge[10] = {0.0, 10., 20., 100.0};
if(doMc) {
nBins = 1;
binEdge[0] = 0.0;
binEdge[1]= 50.0;
// nBins = 7;
// binEdge[0] = 0.0; binEdge[1] = 2.0; binEdge[2] = 4.0; binEdge[3] = 8.0;
//binEdge[4] = 12.0; binEdge[5] = 16.0; binEdge[6] = 22.0; binEdge[7] = 50.0;
}
} else {
if ( wichSpectra.CompareTo("y") == 0) {
doY = true;
label = (char*)Xname[2];
nBins = 3;
GenRange = 4.8;
binEdge[0] = -2.4;
binEdge[1] = -0.8;
binEdge[2] = 0.8;
binEdge[3] = 2.4;
} else {
if ( wichSpectra.CompareTo("cent") == 0) {
doCent = true;
label = (char*)Xname[3];
nBins = 4;
GenRange = 40;
binEdge[0] = 0.;
binEdge[1] = 4;
binEdge[2] = 8.;
binEdge[3] = 16;
binEdge[4] = 40;
} else {
cout<<"Don't know what you want to do!!!!"<<endl;
return;
}
}
}
double PT[10], DelPT[10], mom_err[100];
for (Int_t ih = 0; ih < nBins; ih++) {
PT[ih] = (binEdge[ih] + binEdge[ih+1])/2.0;
DelPT[ih] = binEdge[ih+1] - binEdge[ih];
mom_err[ih] = DelPT[ih]/2.0;
}
//___________________________________________________________________________________
double gen_pt[10];
double egen_pt[10];
TCanvas *pcPt_1 = new TCanvas("pcPt_1"," Z0 Yield Vs. Pt ", 40,40,600,600);
if(doMc) {
pcPt_1->Divide(nBins,2);
//TH2D *genMass_1 = (TH2D*)pfInFile->Get("diMuonsGenInvMassVsPt");
TH2D *genMass_1 = (TH2D*)pfInFile->Get("diMuonsGenInvMassVsPtW");
TH1D *ptaxis = (TH1D*)genMass_1->ProjectionY("ptaxis");
for (Int_t ih = 0; ih < nBins; ih++) {
pcPt_1->cd(ih+nBins+1);
int bin1 = ptaxis->FindBin(binEdge[ih]+0.0000001);
int bin2 = ptaxis->FindBin(binEdge[ih+1]+0.0000001);
TH1D * genMassVsPt = (TH1D*)genMass_1->ProjectionX("genMassVsPt", bin1, bin2-1);
genMassVsPt->Draw("EPL");
pcPt_1->Update();
TAxis *axs = genMassVsPt->GetXaxis();
int binlow = axs->FindBin(massCount_low);
int binhi = axs->FindBin(massCount_high);
double int_sig_gen;
double int_sig_gen_sqr;
for(Int_t bin = binlow; bin<=binhi; bin++) {
// cout << " int_sig += dimuonsGlobalInvMassVsPt[ih]->GetBinContent(bin);"<<int_sigpow_gen <<"+="<< "bin" << bin << " content"<<genMassVsPt->GetBinContent(bin)<<endl;
int_sig_gen += genMassVsPt->GetBinContent(bin);
int_sig_gen_sqr += pow(genMassVsPt->GetBinContent(bin),2);
}
gen_pt[ih] = int_sig_gen;//genMassVsPt->GetEntries();
cout<<" gen entries : "<< gen_pt[ih]<<endl;
egen_pt[ih] =int_sig_gen_sqr;
}
}
else {
if (nBins == 2) pcPt_1->Divide(2,1);
if (nBins == 3 || nBins == 4) pcPt_1->Divide(2,2);
if (nBins == 5 || nBins == 6) pcPt_1->Divide(3,2);
}
//___________________________________________________________________________________
// Fit Function
// const char *name_fit[] = {" ", "RBWPol1", "GausPol1", "RBWGausPol2"};
int nParam[] = {0,6,6,7};
int nFitParam = nParam[nFitFunction];
TF1 *RBWPOL=0;
if(nFitFunction == 1) RBWPOL = new TF1("RBWPOL", RBWPol2, 0, 200, nFitParam);
if(nFitFunction == 2) RBWPOL = new TF1("RBWPOL", GausPol2, 0, 200, nFitParam);
if(nFitFunction == 3) RBWPOL = new TF1("RBWPOL", RBWGausPol2, 0, 200, nFitParam);
TF1 *EXP = new TF1("EXP", Exp, 0, 200, 2);
RBWPOL->SetLineWidth(1);
RBWPOL->SetParameter(1, MassZ0);
RBWPOL->SetParameter(2, WidthZ0);
RBWPOL->SetParLimits(1, 0.9*MassZ0, 1.1*MassZ0);
RBWPOL->SetParLimits(2, 0.1*WidthZ0, 5.0*WidthZ0);
if(nFitFunction == 1 || nFitFunction == 2) RBWPOL->FixParameter(5, 0);
if(nFitFunction == 3 || nFitFunction == 4) {
RBWPOL->SetParameter(3, WidthZ0);
RBWPOL->SetParLimits(3, 0.1, 20);
RBWPOL->FixParameter(2, WidthZ0);
RBWPOL->FixParameter(4, 0); // for no bkg
RBWPOL->FixParameter(5, 0); // for no bkg
RBWPOL->FixParameter(6, 0);
}
//___________________________________________________________________________________
// Efficiency
double yld_cat_1[10], cyld_cat_1[10], eyld_cat_1[10], ceyld_cat_1[10];
double Eff_cat_1[10], errEff_cat_1[10];
///// Write the spectra
sprintf(szBuf,"fileSpecta%d.root", getYield);
// TFile *fileSpectra = new TFile(szBuf, "recreate");
//___________________________________________________________________________________
// Drawing
// Category _1
TLegend *pLegCategory = new TLegend(.66, .74, .92, .94);
// pLegCategory = new TLegend(.1, .82, .50, .93);
pLegCategory->SetBorderSize(0);
pLegCategory->SetFillStyle(0);
pLegCategory->SetFillColor(0);
pLegCategory->SetTextSize(0.03);
// pLegCategory->AddEntry(RBWPOL," CMS Preliminary", " ");
pLegCategory->AddEntry(RBWPOL," CMS Pb+Pb ", " ");
pLegCategory->AddEntry(RBWPOL," #sqrt{s_{NN}} = 2.76 TeV ", " ");
pLegCategory->AddEntry(RBWPOL," #int Ldt = 6.6 #mub^{-1} ", " ");
// pLegCategory->AddEntry(RBWPOL," Global-Global ", "");
//pLegCategory->AddEntry(RBWPOL," |y| < 2.4 ", "P");
//pLegCategory->AddEntry(RBWPOL," Run# 150431-151027 ", "P");
TLegend *legend_1[12];
for(int i=0; i<12; i++) {
if(isFit) legend_1[i] = new TLegend(.13, .66, .52, 0.94);
if(!isFit) legend_1[i] = new TLegend(.13, .66, .52, 0.94 );
// legend_1[i] = new TLegend(.68, .62, .91, 0.93 );
legend_1[i]->SetBorderSize(0);
legend_1[i]->SetFillStyle(0);
legend_1[i]->SetFillColor(0);
legend_1[i]->SetTextSize(0.028);
}
int bin_bound[100];
TH1D *dimuonsGlobalInvMassVsPt[10];
TH1D *dimuonsGlobalInvMassVsPtS[10];
TH1D *service = (TH1D*)phDimuMass_1->ProjectionY("service");
// cout << endl << label << " Yield Mass (GeV) Width (GeV) GauWidth chi2/ndf " << endl << endl;
for (Int_t ih = 0; ih < nBins; ih++) {
pcPt_1->cd(ih+1);
gPad->SetTickx();
gPad->SetTicky();
// Project 1 D
bin_bound[ih] = service->FindBin(binEdge[ih]+0.0000001);
bin_bound[ih+1] = service->FindBin(binEdge[ih+1]+0.0000001);
sprintf(szBuf,"Z0_1_pt_%d",ih);
dimuonsGlobalInvMassVsPt[ih] = (TH1D*)phDimuMass_1->ProjectionX(szBuf, bin_bound[ih], bin_bound[ih+1]-1+1, "e");
sprintf(szBuf,"Z0_1S_pt_%d",ih);
dimuonsGlobalInvMassVsPtS[ih] = (TH1D*)phDimuMass_1S->ProjectionX(szBuf, bin_bound[ih], bin_bound[ih+1]-1+1);
cout << "reco entries" << dimuonsGlobalInvMassVsPt[ih]->GetEntries() <<endl;
if(doPt || doY) {
sprintf(szBuf," %s [%.1f, %.1f]",
label,
service->GetBinLowEdge(bin_bound[ih]),
service->GetBinLowEdge(bin_bound[ih+1]-1) + service->GetBinWidth(bin_bound[ih+1]));
}
if(doCent) {
sprintf(szBuf," %s [%.1f, %.1f] %s",
label,
2.5*service->GetBinLowEdge(bin_bound[ih]),
2.5*(service->GetBinLowEdge(bin_bound[ih+1]-1) + service->GetBinWidth(bin_bound[ih+1])), "%");
}
dimuonsGlobalInvMassVsPt[ih]->Rebin(nrebin);
dimuonsGlobalInvMassVsPtS[ih]->Rebin(nrebin);
// -------- Fit Function + Bkg Function
double part[20];
dimuonsGlobalInvMassVsPt[ih]->Fit("EXP","LEQ", "", 34, 60);
EXP->GetParameters(part);
if(nFitFunction == 4) {
RBWPOL->FixParameter(4, part[0]);
RBWPOL->FixParameter(5, part[1]);
}
if(isFit) {
//dimuonsGlobalInvMassVsPt[ih]->Fit("RBWPOL","LEQ", "", massFit_low, massFit_high);
//TFitResultPtr r =
dimuonsGlobalInvMassVsPt[ih]->Fit("RBWPOL","LEQS0","", massFit_low, massFit_high);
// if(r->IsValid()) r->Print();
//else cout<<"Fit not valid!!!\n"<<endl;
}
//------ get fit parameters
double par[20];
RBWPOL->GetParameters(par);
float GGphDimuMass = RBWPOL->GetParameter(1);
float GGZ0Width = RBWPOL->GetParameter(2);
float GauWidth =0;
if(nFitFunction == 3 || nFitFunction == 4) GauWidth = RBWPOL->GetParameter(3);
double chisq = RBWPOL->GetChisquare();
int ndf = RBWPOL->GetNDF();
double chisqdf =1000;
if(ndf!=0) chisqdf=chisq/ndf;
// +++ set backgroudn fit
sprintf(szBuf,"pt_1B_%d",ih);
TF1 *bkgFit_1 = new TF1(szBuf, Pol2, massFit_low, massFit_high, 3);
// if(nFitFunction == 4) bkgFit_1 = new TF1(namePt_1B, Exp, massFit_low, massFit_high, 2);
bkgFit_1->SetParameters(&par[3]);
if(nFitFunction == 3 || nFitFunction == 4) bkgFit_1->SetParameters(&par[4]);
// ---------- Integrated Yield
// float massCount_low =GGphDimuMass-(4.0*GGZ0Width);
// float massCount_high =GGphDimuMass+(4.0*GGZ0Width);
TAxis *axs = dimuonsGlobalInvMassVsPt[ih]->GetXaxis();
int binlow = axs->FindBin(massCount_low);
int binhi = axs->FindBin(massCount_high);
Double_t bin_size = (1.0*dimuonsGlobalInvMassVsPt[ih]->GetNbinsX())/(axs->GetXmax() - axs->GetXmin());
Float_t int_sig = 0.0;
Float_t int_sig_sqr = 0.0;
for(Int_t bin = binlow; bin<=binhi; bin++) {
// cout << " int_sig += dimuonsGlobalInvMassVsPt[ih]->GetBinContent(bin);"<<int_sig <<"+="<< "bin" << bin << " content"<<dimuonsGlobalInvMassVsPt[ih]->GetBinContent(bin)<<endl;
int_sig += dimuonsGlobalInvMassVsPt[ih]->GetBinContent(bin);
int_sig_sqr += pow(dimuonsGlobalInvMassVsPt[ih]->GetBinContent(bin),2);
}
if(getYield == 2) {
int_sig = RBWPOL->Integral(massCount_low, massCount_high)*bin_size;
yld_cat_1[ih] = int_sig - bin_size*bkgFit_1->Integral(massCount_low, massCount_high);
eyld_cat_1[ih] = TMath::Sqrt(int_sig + bin_size*bkgFit_1->Integral(massCount_low, massCount_high) );
}
else {
yld_cat_1[ih] = int_sig ;
eyld_cat_1[ih] = int_sig_sqr;
}
cout << "int_sig - bin_size*bkgFit_1->Integral(massCount_low, massCount_high);" << int_sig<< " -"<< bin_size<<"*"<<bkgFit_1->Integral(massCount_low, massCount_high)<< " with low"<< massCount_low<<" high "<< massCount_high<<endl;
//// Printing /////
cout << PT[ih] << " " << yld_cat_1[ih] << " +- " << eyld_cat_1[ih] <<" " << GGphDimuMass << " " << GGZ0Width << " " << GauWidth <<" "<< chisq << "/" << ndf << endl;
// -------------- Draw
// dimuonsGlobalInvMassVsPt[ih]->SetMinimum(-.05*dimuonsGlobalInvMassVsPt[ih]->GetMaximum());
if(isLog) gPad->SetLogy(1);
TColor *pal = new TColor();
Int_t kblue = pal->GetColor(9,0,200);
// Int_t korange = pal->GetColor(101, 42, 0);
// +++ opposite charge
dimuonsGlobalInvMassVsPt[ih]->SetMarkerStyle(21);
dimuonsGlobalInvMassVsPt[ih]->SetMarkerColor(kblue);
dimuonsGlobalInvMassVsPt[ih]->SetLineColor(kblue);
dimuonsGlobalInvMassVsPt[ih]->SetMarkerSize(1.1);
dimuonsGlobalInvMassVsPt[ih]->GetXaxis()->SetTitle("Dimuon mass (GeV/c^{2})");
dimuonsGlobalInvMassVsPt[ih]->GetYaxis()->SetTitle("dN/dM (2 GeV/c^{2})^{-1}");
dimuonsGlobalInvMassVsPt[ih]->GetXaxis()->SetRangeUser(massDraw_low,massDraw_high);
// dimuonsGlobalInvMassVsPt[ih]->Add(dimuonsGlobalInvMassVsPtS[ih], -1);
pcPt_1->cd(ih+1);
dimuonsGlobalInvMassVsPt[ih]->DrawCopy("EPLsame");
// pp data
TAxis *axs1 = Zmumu->GetXaxis();
int ll = axs1->FindBin(massCount_low);
int hh = axs1->FindBin(massCount_high);
double scalefactor = yld_cat_1[ih]/Zmumu->Integral(ll, hh);
cout << Zmumu->Integral(ll, hh) << endl;
Zmumu->Scale(scalefactor);
Zmumu->SetFillColor(19);
Zmumu->Draw("same");
dimuonsGlobalInvMassVsPt[ih]->DrawCopy("EPLsame");
// dimuonsGlobalInvMassVsPt[ih]->Draw("B");
// +++ same charge
dimuonsGlobalInvMassVsPtS[ih]->SetMarkerStyle(8);
dimuonsGlobalInvMassVsPtS[ih]->SetMarkerColor(46);
dimuonsGlobalInvMassVsPtS[ih]->SetLineColor(46);
dimuonsGlobalInvMassVsPtS[ih]->SetMarkerSize(1.1);
dimuonsGlobalInvMassVsPtS[ih]->DrawCopy("EPsame");
// background
// RBWPOL->SetLineColor(kblue);
bkgFit_1->SetLineColor(46);
bkgFit_1->SetLineWidth(1);
// if(isFit) bkgFit_1->Draw("same");
// ++++ legend
pLegCategory->Draw("same");
// legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih]," Global-Global", " ");
legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih]," |#eta^{#mu}| < 2.4, p_{T}^{#mu} > 10 GeV/c ", "");
legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih]," Unlike Sign ", "LP");
legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPtS[ih]," Like Sign ", "LP");
legend_1[ih]->AddEntry(Zmumu," pp Data ", "L");
// legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih], text, "");
sprintf(szBuf, "N=%1.0f #pm %1.1f ", yld_cat_1[ih], sqrt(yld_cat_1[ih]) );
legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih], szBuf, "");
// sprintf(label_1, "N_{Z^{0}} = 27");
sprintf(szBuf, "mass = %1.2f #pm %1.2f GeV/c^{2}", RBWPOL->GetParameter(1), RBWPOL->GetParError(1));
// if(isFit) legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih],szBuf, "");
sprintf(szBuf, "#sigma_{Gauss} = %1.2f #pm %1.2f GeV/c^{2}", RBWPOL->GetParameter(2), RBWPOL->GetParError(2));
if(nFitFunction ==3 || nFitFunction == 4)
sprintf(szBuf, "#sigma_{Gauss} = %1.2f #pm %1.2f GeV/c^{2}", RBWPOL->GetParameter(3), RBWPOL->GetParError(3));
// if(isFit) legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih], szBuf, "");
sprintf(szBuf, "#chi^{2}/ndf = %1.2f / %d", chisq, ndf);
// if(isFit) legend_1[ih]->AddEntry(dimuonsGlobalInvMassVsPt[ih], label_4, "");
legend_1[ih]->Draw("same");
pcPt_1->Update();
}
cout << endl << endl;
TGraphErrors *Z0pt_cat_1 = new TGraphErrors(nBins, PT, yld_cat_1, mom_err, eyld_cat_1);
Z0pt_cat_1->SetMarkerStyle(20);
Z0pt_cat_1->SetMarkerColor(2);
Z0pt_cat_1->GetXaxis()->SetTitle(label);
Z0pt_cat_1->GetYaxis()->SetTitle("counts");
TCanvas *pc2 = new TCanvas("pc2","pc2");
Z0pt_cat_1->SetMinimum(0.0);
Z0pt_cat_1->SetName("Z0pt_cat_1");
Z0pt_cat_1->Draw("AP");
TGraphErrors *Z0ptC_cat_1_gen = new TGraphErrors(nBins, PT, gen_pt, mom_err, egen_pt);
// Z0ptC_cat_1_gen->SetMarkerStyle(23);
//Z0ptC_cat_1_gen->SetMarkerColor(3);
//Z0ptC_cat_1_gen->Draw("AP");
pLegCategory->Draw("same");
Z0pt_cat_1->Write();
pLegCategory->Write();
// gPad->Print("Pt_Z0YieldCat_1.png");
pcPt_1->Print("Pt_Z0YieldCat_1.png");
cout << endl << endl;
//////////////////////////////////////////////////////////////////////////////
// Efficiency correction
if(doMc) {
ofstream fileout("correction.txt");
cout << label << " Eff_cat_1 " << endl;
for (Int_t ih = 0; ih < nBins; ih++) {
Eff_cat_1[ih] = yld_cat_1[ih]/gen_pt[ih];
errEff_cat_1[ih] = sqrt( (pow(Eff_cat_1[ih]/yld_cat_1[ih],2))*eyld_cat_1[ih]
+(pow((1-Eff_cat_1[ih]/yld_cat_1[ih]),2))*( yld_cat_1[ih]-gen_pt[ih]/ yld_cat_1[ih]));
// errEff_cat_1[ih] = sqrt( (pow(Eff_cat_1[ih]/yld_cat_1[ih],2))*eyld_cat_1[ih]
// +(pow((1-Eff_cat_1[ih]/yld_cat_1[ih]),2))*event failing);
// fileout << PT[ih] <<" "<< Eff_cat_1[ih] << " " << Eff_cat_2[ih] <<" " << Eff_cat_3[ih] << endl;
// cout <<" " << PT[ih] <<" "<< Eff_cat_1[ih] << " " << Eff_cat_2[ih] << " " << Eff_cat_3[ih] << endl;
fileout << PT[ih] <<" "<< Eff_cat_1[ih] << " " << errEff_cat_1[ih] << endl;
cout <<" " << PT[ih] <<" "<< Eff_cat_1[ih] << " +- " << errEff_cat_1[ih] << endl;
cyld_cat_1[ih] = Eff_cat_1[ih];
ceyld_cat_1[ih] = errEff_cat_1[ih];
}
}
else {
ifstream filein("correction.txt");
cout << label << " yld_cat_1 " << " efficiency " << " corr. yld_cat_1 " << endl;
for (Int_t ih = 0; ih < nBins; ih++) {
// filein >> PT[ih] >> Eff_cat_1[ih] >> Eff_cat_2[ih] >> Eff_cat_3[ih] ;
// cout << " " << PT[ih] << " "<< yld_cat_1[ih] << " " << yld_cat_2[ih] <<" " << yld_cat_3[ih] << endl;
filein >> PT[ih] >> Eff_cat_1[ih] >> errEff_cat_1[ih];
cout << " " << PT[ih] << " " << yld_cat_1[ih] << " " << Eff_cat_1[ih] << " " << yld_cat_1[ih]/Eff_cat_1[ih] << endl;
cyld_cat_1[ih] = yld_cat_1[ih]/Eff_cat_1[ih];
ceyld_cat_1[ih] = eyld_cat_1[ih]/Eff_cat_1[ih];
}
}
// TF1 *EXPA = new TF1("EXPA", Exp, 0, 100, 2);
TGraphErrors *Z0ptC_cat_1 = new TGraphErrors(nBins, PT, cyld_cat_1, mom_err, ceyld_cat_1);
Z0ptC_cat_1->SetMarkerStyle(20);
Z0ptC_cat_1->SetMarkerColor(2);
Z0ptC_cat_1->GetXaxis()->SetTitle(label);
Z0ptC_cat_1->GetYaxis()->SetTitle("Acc x Eff");
// if(part == 2) Z0ptC_cat_1->Fit("EXPA","LEQ", "", 7, 16);
new TCanvas;
Z0ptC_cat_1->SetMinimum(0.0);
Z0ptC_cat_1->SetMaximum(0.8);
Z0ptC_cat_1->SetName("Z0ptC_cat_1");
Z0ptC_cat_1->Draw("AP");
pLegCategory->Draw("same");
cout << endl << endl;
Z0ptC_cat_1->Write();
}
void q4gep_jan2009() {
gROOT->SetStyle("HALLA");
TCanvas *cn = new TCanvas("cn");
cn->Draw();
TH1F *frm = new TH1F("frm","",100,0.,15.);
#ifndef DIFF_LAB
frm->GetXaxis()->SetTitle("Q^{2} [GeV^{2}]");
#endif
#ifdef DIFF_LAB
frm->GetXaxis()->SetTitle("Q^{2} in GeV^{2}");
#endif
frm->GetXaxis()->CenterTitle();
#ifndef DIFF_LAB
frm->GetYaxis()->SetTitle("Q^{4} G_{E}^{p}");
#endif
#ifdef DIFF_LAB
frm->GetYaxis()->SetTitle("#muG_{Ep}/G_{Mp}");
#endif
frm->GetYaxis()->CenterTitle();
frm->SetMinimum(-0.1);
frm->SetMaximum(0.4);
frm->UseCurrentStyle();
frm->Draw();
TF1 *ff = new TF1("ff",fff,1.,10.,1.);
ff->SetLineColor(2);
ff->SetLineStyle(2);
ff->SetParameter(0,1.);
ff->SetParameter(1,.3);
// match to Gayou point at 5.54 GeV^2
ff->SetParameter(0,.1035);
TMultiGraph* mgrDta = new TMultiGraph("Data","#frac{#mu_{p}G_{E}^{p}}{G_{M}^{p}}");
//TLegend *legDta = new TLegend(.58,.565,.875,.9,"","brNDC");
TLegend *legDta = new TLegend(.648,.682,.945,.900,"","brNDC");
TMultiGraph* wgr = mgrDta;
TLegend *wlg = legDta;
// the data
legDta->SetBorderSize(0); // turn off border
legDta->SetFillStyle(0);
datafile_t *f = datafiles;
TGraph* gr=0;
TGraph* ogr=0;
while ( f && f->filename ) {
ogr=OneGraph(f);
if (ogr) {
gr = fromGEpGMptoQ4GEp(ogr);
gr->SetLineWidth(2);
if (f->lnpt) {
mgrDta->Add(gr,f->lnpt);
legDta->AddEntry(gr,f->label,f->lnpt);
}
else if (gr->GetMarkerStyle()>=20) {
mgrDta->Add(gr,"p");
legDta->AddEntry(gr,f->label,"p");
}
else {
mgrDta->Add(gr,"l");
legDta->AddEntry(gr,f->label,"l");
}
}
f++;
}
mgrDta->Draw("p");
legDta->Draw();// don't draw the data legend
TMultiGraph* mgrThry = new TMultiGraph("Theory","#frac{#mu_{p}G_{E}^{p}}{G_{M}^{p}}");
// TLegend *legThry = new TLegend(.585,.6,.9,.9,"","brNDC");
TLegend *legThry = new TLegend(.335,.689,.649,.911,"","brNDC");
wgr = mgrThry;
wlg = legThry;
// the theory
wlg->SetBorderSize(0); // turn off border
wlg->SetFillStyle(0);
f = theoryfiles1;
ogr=0;
while ( f && f->filename ) {
ogr=OneGraph(f);
if (ogr) {
gr = fromGEpGMptoQ4GEp(ogr);
TGraphAsymmErrors *egr = dynamic_cast<TGraphAsymmErrors*>(gr);
if (egr && egr->GetEYhigh() && egr->GetEYhigh()[0]>0) {
gr = toerror_band(egr);
gr->SetFillStyle(3000+f->style);
}
gr->SetLineWidth(2);
if (f->lnpt) {
wgr->Add(gr,f->lnpt);
if( f->label[0] != 'x' ){
wlg->AddEntry(gr,f->label,f->lnpt);
}
}
else if (gr->GetMarkerStyle()>=20) {
wgr->Add(gr,"p");
if( f->label[0] != 'x' ){
wlg->AddEntry(gr,f->label,"p");
}
}
else {
wgr->Add(gr,"l");
if( f->label[0] != 'x' ){
wlg->AddEntry(gr,f->label,"l");
}
}
}
f++;
}
mgrThry->Draw("c");
#ifdef PQCD
ff->Draw("same");
legThry->AddEntry(ff,"F2/F1 #propto ln^{2}(Q^{2}/#Lambda^{2})/Q^{2}","l");
#endif// PQCD
legThry->Draw();
cn->Modified();
cn->Update();
TFrame* frame = gPad->GetFrame();
// draw a line at 1
TLine *line1 = new TLine(frame->GetX1(),1.,frame->GetX2(),1.);
line1->SetLineStyle(1);
line1->Draw();
return;
cn->Update();
cn->SaveAs(Form("%s.eps",psfile));
cn->SaveAs(Form("%s.root",psfile));
gSystem->Exec(Form("./replace_symbols.pl %s.eps",psfile));
// now an overlay, hopefully matching dimensions
// remove everything except the frame
cn->Update();
TList *clist = cn->GetListOfPrimitives();
frame = cn->GetFrame();
for (int i=0; i<clist->GetSize(); ) {
if (clist->At(i) != frame) {
clist->RemoveAt(i);
} else i++;
}
// draw markers in the corners
TMarker *mkr = new TMarker(frame->GetX1(),frame->GetY1(),2);
mkr->Draw();
mkr = new TMarker(frame->GetX2(),frame->GetY1(),2);
mkr->Draw();
mkr = new TMarker(frame->GetX1(),frame->GetY2(),2);
mkr->Draw();
mkr = new TMarker(frame->GetX2(),frame->GetY2(),2);
mkr->Draw();
frame->SetLineColor(10);
{
datafile_t goeckeler = { "figure_input/Goeckeler/goeckeler.dat","Goeckeler",
"[0]","[1]","[1]-[2]","[3]-[1]",0,0,1,4,"F" };
gr = OneGraph(&goeckeler);
TGraphAsymmErrors *egr = dynamic_cast<TGraphAsymmErrors*>(gr);
if (egr && egr->GetEYhigh() && egr->GetEYhigh()[egr->GetN()/2]>0) {
gr = toerror_band(egr);
gr->SetLineStyle(1);
gr->SetFillColor(gr->GetLineColor());
gr->SetFillStyle(3000+goeckeler.style);
}
gr->Draw("F");
cn->Update();
cn->SaveAs("mup_gep_gmp_goeckeler_Overlay.eps");
cn->SaveAs("mup_gep_gmp_goeckeler_Overlay.root");
// remove Goeckeler curve from plot
clist->Remove(gr);
}
{
datafile_t miller = { "figure_input/Miller/lattice.GEp_GMp.rtf","Miller",
"[0]","[1]","[1]-[3]","[2]-[1]",0,0,1,3,"F" };
gr = OneGraph(&miller);
TGraphAsymmErrors* egr = dynamic_cast<TGraphAsymmErrors*>(gr);
if (egr && egr->GetEYhigh() && egr->GetEYhigh()[egr->GetN()/2]>0) {
gr = toerror_band(egr);
gr->SetLineStyle(1);
gr->SetFillColor(gr->GetLineColor());
gr->SetFillStyle(3000+miller.style);
}
gr->Draw("F");
cn->Update();
cn->SaveAs("mup_gep_gmp_Miller_Overlay.eps");
cn->SaveAs("mup_gep_gmp_Miller_Overlay.root");
clist->Remove(gr);
}
{
datafile_t zanotti = { "figure_input/Zanotti/zanotti_gepgmp.dat","Zanotti",
"[0]","[1]","[1]-[2]","[3]-[1]",0,0,1,6,"F" };
gr = OneGraph(&zanotti);
TGraphAsymmErrors* egr = dynamic_cast<TGraphAsymmErrors*>(gr);
if (egr && egr->GetEYhigh() && egr->GetEYhigh()[egr->GetN()/2]>0) {
gr = toerror_band(egr);
gr->SetLineStyle(1);
gr->SetFillColor(gr->GetLineColor());
gr->SetFillStyle(3000+zanotti.style);
}
gr->Draw("F");
cn->Update();
cn->SaveAs("mup_gep_gmp_Zanotti_Overlay.eps");
cn->SaveAs("mup_gep_gmp_Zanotti_Overlay.root");
clist->Remove(gr);
}
}
void PlotAlignmentValidation::plotDMR(const std::string variable, Int_t minHits )
{
setNiceStyle();
gStyle->SetOptStat(0);
// TList treeList=getTreeList();
TCanvas *c = new TCanvas("canv", "canv", 600, 600);
setCanvasStyle( *c );
//loop over sub-detectors
for (int i=1;i<7;++i){
int histo_Counter=1;
TLegend *leg_hist = new TLegend(0.17,0.8,0.85,0.88);
setLegendStyle(*leg_hist);
//loop over file list
//TTree *tree= (TTree*)treeList.First();
//binning
int nbinsX=100;
double xmin=0;
double xmax=0;
float maxY=0;
bool isHisto = false;
std::string plotVar=variable;
THStack *hstack=new THStack("hstack","hstack");
for(std::vector<TkOfflineVariables*>::iterator it = sourceList.begin();
it != sourceList.end(); ++it){
//while ( tree ){
plotVar=variable;
TString subdet = "entries>=";
subdet+=minHits;
subdet+=" && subDetId==";
subdet+=i;
char binning [50]="";
sprintf (binning, ">>myhisto(%d, %f , %f)", nbinsX, xmin, xmax);
TH1F *h = 0;
if (histo_Counter==1&&plotVar=="meanX")(*it)->getTree()->Draw( (plotVar+=">>myhisto(50,-0.001,0.001)").c_str(),subdet,"goff");
else if (histo_Counter==1&&plotVar=="meanY")(*it)->getTree()->Draw( (plotVar+=">>myhisto(50,-0.005,0.005)").c_str(),subdet,"goff");
else if (histo_Counter==1&&plotVar=="medianX")(*it)->getTree()->Draw( (plotVar+=">>myhisto(50,-0.005,0.005)").c_str(),subdet,"goff");
else if (histo_Counter==1&&plotVar=="medianY")(*it)->getTree()->Draw( (plotVar+=">>myhisto(50,-0.005,0.005)").c_str(),subdet,"goff");
else if (histo_Counter==1&&plotVar=="meanNormX")(*it)->getTree()->Draw( (plotVar+=">>myhisto(100,-2,2)").c_str(),subdet,"goff");
else if (histo_Counter==1&&plotVar=="rmsX")(*it)->getTree()->Draw( (plotVar+=">>myhisto(100,0.,0.1)").c_str(),subdet,"goff");
else if (histo_Counter!=1)(*it)->getTree()->Draw( (plotVar+=binning).c_str(),subdet,"goff");
if (gDirectory) gDirectory->GetObject("myhisto", h);
std::pair<float,float> fitResults(9999., 9999.);
if (h){
if (h->GetEntries()>0) {
isHisto = true;
h->SetDirectory(0);
//general draw options
h->SetLineWidth(2);
//first histo only, setting optStat...
if (histo_Counter==1)
setHistStyle(*h,plotVar.c_str() ,"#modules", 1 ); //set color later
h->SetLineColor( (*it)->getLineColor() );
h->SetLineStyle( (*it)->getLineStyle() );
//h->SetMarkerStyle(20+file_Counter);
//draw options
if (maxY<h->GetMaximum()){
maxY=h->GetMaximum();
}
//fit histogram for median and mean
if (variable=="medianX"||variable =="meanX")fitResults=fitGauss(h, (*it)->getLineColor() );
if (histo_Counter==1){
//get mean and sigma from fit: gauss for 2sigma range
hstack->Add(h);
nbinsX=h->GetXaxis()->GetNbins();
xmin=h->GetXaxis()->GetXmin();
xmax=h->GetXaxis()->GetXmax();
}else if (histo_Counter!=1 && h->GetEntries()>0)hstack->Add(h);
char legend [50]="";
std::string legEntry = (*it)->getName();
if ( (variable=="medianX"||variable =="meanX") && useFit_)
sprintf (legend, "%s: #mu = %4.2f#mum, #sigma = %4.2f#mum ",legEntry.c_str(),fitResults.first ,fitResults.second);
if ( (variable=="medianX"||variable =="meanX"||variable=="medianY"||variable =="meanY" )&&useFit_ == false)
sprintf (legend, "%s: #mu = %4.2f#mum, rms = %4.2f#mum ",legEntry.c_str(),h->GetMean(1)*10000 ,h->GetRMS(1)*10000);
else sprintf (legend, "%s ",legEntry.c_str());
if(h)
leg_hist->AddEntry(h,legend,"l");
else
std::cerr<< "histogram did not exist!";
}
}
// tree= (TTree*)treeList.After( tree );
// file_Counter++;
histo_Counter++;
}
if (isHisto){
hstack->Draw("nostack");
hstack->SetMaximum(maxY*1.3);
setTitleStyle(*hstack,plotVar.c_str() ,"#modules",i);
setHistStyle(*hstack->GetHistogram(),plotVar.c_str() ,"#modules", 1 );
leg_hist->Draw();
std::string histName="D";
if (variable=="medianX") histName+="medianR_";
else if (variable=="medianY") histName+="medianYR_";
else if (variable=="meanX") histName+="meanR_";
else if (variable=="meanY") histName+="meanYR_";
else if (variable=="rmsX") histName+="rmsR_";
std::string subDetector ="";
switch (i){
case 1 : subDetector+="TPB";break;
case 2 : subDetector+="TPE";break;
case 3 : subDetector+="TIB";break;
case 4 : subDetector+="TID";break;
case 5 : subDetector+="TOB";break;
case 6 : subDetector+="TEC";break;
}
char PlotName[100];
sprintf( PlotName, "%s/%s%s.eps",outputDir.c_str(), histName.c_str(), subDetector.c_str() );
c->Update();
c->Print(PlotName);
//c->Update();
//c->Close();
}
delete hstack;
hstack=0;
}
delete c;
c=0;
}
int main(int argc, char** argv)
{
// Set style options
setTDRStyle();
gStyle->SetPadTickX(1);
gStyle->SetPadTickY(1);
gStyle->SetOptTitle(0);
gStyle->SetOptStat(1110);
gStyle->SetOptFit(1);
// Set fitting options
TVirtualFitter::SetDefaultFitter("Fumili2");
//-----------------
// Input parameters
std::cout << "\n***************************************************************************************************************************" << std::endl;
std::cout << "arcg: " << argc << std::endl;
char* EBEE = argv[1];
int evtsPerPoint = atoi(argv[2]);
int useRegression = atoi(argv[3]);
std::string dayMin = "";
std::string dayMax = "";
std::string dayMinLabel = "";
std::string dayMaxLabel = "";
float absEtaMin = -1.;
float absEtaMax = -1.;
int IetaMin = -1;
int IetaMax = -1;
int IphiMin = -1;
int IphiMax = -1;
if(argc >= 5)
{
dayMin = std::string(argv[4])+" "+std::string(argv[5])+" "+std::string(argv[6]);
dayMax = std::string(argv[7])+" "+std::string(argv[8])+" "+std::string(argv[9]);
dayMinLabel = std::string(argv[4])+"_"+std::string(argv[5])+"_"+std::string(argv[6]);
dayMaxLabel = std::string(argv[7])+"_"+std::string(argv[8])+"_"+std::string(argv[9]);
t1 = dateToInt(dayMin);
t2 = dateToInt(dayMax);
}
if(argc >= 11)
{
yMIN = atof(argv[10]);
yMAX = atof(argv[11]);
}
if(argc >= 13)
{
absEtaMin = atof(argv[12]);
absEtaMax = atof(argv[13]);
}
if(argc >= 15)
{
IetaMin = atoi(argv[14]);
IetaMax = atoi(argv[15]);
IphiMin = atoi(argv[16]);
IphiMax = atoi(argv[17]);
}
std::cout << "EBEE: " << EBEE << std::endl;
std::cout << "evtsPerPoint: " << evtsPerPoint << std::endl;
std::cout << "useRegression: " << useRegression << std::endl;
std::cout << "dayMin: " << dayMin << std::endl;
std::cout << "dayMax: " << dayMax << std::endl;
std::cout << "yMin: " << yMIN << std::endl;
std::cout << "yMax: " << yMAX << std::endl;
std::cout << "absEtaMin: " << absEtaMin << std::endl;
std::cout << "absEtaMax: " << absEtaMax << std::endl;
std::cout << "IetaMin: " << IetaMin << std::endl;
std::cout << "IetaMax: " << IetaMax << std::endl;
std::cout << "IphiMin: " << IphiMin << std::endl;
std::cout << "IphiMax: " << IphiMax << std::endl;
//-------------------
// Define in/outfiles
std::string folderName = std::string(EBEE) + "_" + dayMinLabel + "_" + dayMaxLabel;
if( (absEtaMin != -1.) && (absEtaMax != -1.) )
{
char absEtaBuffer[50];
sprintf(absEtaBuffer,"_%.2f-%.2f",absEtaMin,absEtaMax);
folderName += std::string(absEtaBuffer);
}
if( (IetaMin != -1.) && (IetaMax != -1.) && (IphiMin != -1.) && (IphiMax != -1.) )
{
char absEtaBuffer[50];
sprintf(absEtaBuffer,"_Ieta_%d-%d_Iphi_%d-%d",IetaMin,IetaMax,IphiMin,IphiMax);
folderName += std::string(absEtaBuffer);
}
gSystem->mkdir(folderName.c_str());
TFile* o = new TFile((folderName+"/"+folderName+"_histos.root").c_str(),"RECREATE");
// Get trees
std::cout << std::endl;
TChain* ntu_DA = new TChain("simpleNtupleEoverP/SimpleNtupleEoverP");
FillChain(ntu_DA,"inputDATA.txt");
std::cout << " DATA: " << std::setw(8) << ntu_DA->GetEntries() << " entries" << std::endl;
TChain* ntu_MC = new TChain("simpleNtupleEoverP/SimpleNtupleEoverP");
FillChain(ntu_MC,"inputMC.txt");
std::cout << "REFERENCE: " << std::setw(8) << ntu_MC->GetEntries() << " entries" << std::endl;
if (ntu_DA->GetEntries() == 0 || ntu_MC->GetEntries() == 0 )
{
std::cout << "Error: At least one file is empty" << std::endl;
return -1;
}
// Set branch addresses
int runId;
int timeStampHigh;
int PV_n;
float scLaserCorr, seedLaserAlpha, EoP, scEta, scPhi, scE, ES, P;
int seedIeta, seedIphi, seedIx, seedIy, seedZside;
ntu_DA->SetBranchStatus("*",0);
ntu_DA->SetBranchStatus("runId",1);
ntu_DA->SetBranchStatus("timeStampHigh",1);
ntu_DA->SetBranchStatus("PV_n",1);
ntu_DA->SetBranchStatus("ele1_scLaserCorr",1);
ntu_DA->SetBranchStatus("ele1_seedLaserAlpha",1);
ntu_DA->SetBranchStatus("ele1_EOverP",1);
ntu_DA->SetBranchStatus("ele1_scEta",1);
ntu_DA->SetBranchStatus("ele1_scPhi",1);
ntu_DA->SetBranchStatus("ele1_scE",1);
ntu_DA->SetBranchStatus("ele1_scE_regression",1);
ntu_DA->SetBranchStatus("ele1_scE",1);
ntu_DA->SetBranchStatus("ele1_es",1);
ntu_DA->SetBranchStatus("ele1_tkP",1);
ntu_DA->SetBranchStatus("ele1_seedIeta",1);
ntu_DA->SetBranchStatus("ele1_seedIphi",1);
ntu_DA->SetBranchStatus("ele1_seedIx",1);
ntu_DA->SetBranchStatus("ele1_seedIy",1);
ntu_DA->SetBranchStatus("ele1_seedZside",1);
ntu_DA->SetBranchAddress("runId", &runId);
ntu_DA->SetBranchAddress("timeStampHigh", &timeStampHigh);
ntu_DA->SetBranchAddress("PV_n", &PV_n);
ntu_DA->SetBranchAddress("ele1_scLaserCorr", &scLaserCorr);
ntu_DA->SetBranchAddress("ele1_seedLaserAlpha", &seedLaserAlpha);
ntu_DA->SetBranchAddress("ele1_EOverP", &EoP);
ntu_DA->SetBranchAddress("ele1_scEta", &scEta);
ntu_DA->SetBranchAddress("ele1_scPhi", &scPhi);
if( useRegression < 1 )
ntu_DA->SetBranchAddress("ele1_scE", &scE);
else
ntu_DA->SetBranchAddress("ele1_scE_regression", &scE);
ntu_DA->SetBranchAddress("ele1_scE", &scE);
ntu_DA->SetBranchAddress("ele1_es", &ES);
ntu_DA->SetBranchAddress("ele1_tkP", &P);
ntu_DA->SetBranchAddress("ele1_seedIeta", &seedIeta);
ntu_DA->SetBranchAddress("ele1_seedIphi", &seedIphi);
ntu_DA->SetBranchAddress("ele1_seedIx", &seedIx);
ntu_DA->SetBranchAddress("ele1_seedIy", &seedIy);
ntu_DA->SetBranchAddress("ele1_seedZside", &seedZside);
ntu_MC->SetBranchStatus("*",0);
ntu_MC->SetBranchStatus("runId",1);
ntu_MC->SetBranchStatus("PV_n",1);
ntu_MC->SetBranchStatus("ele1_scEta",1);
ntu_MC->SetBranchStatus("ele1_EOverP",1);
ntu_MC->SetBranchStatus("ele1_scE",1);
ntu_MC->SetBranchStatus("ele1_scE_regression",1);
ntu_MC->SetBranchStatus("ele1_es",1);
ntu_MC->SetBranchStatus("ele1_tkP",1);
ntu_MC->SetBranchStatus("ele1_seedIeta",1);
ntu_MC->SetBranchStatus("ele1_seedIphi",1);
ntu_MC->SetBranchStatus("ele1_seedIx",1);
ntu_MC->SetBranchStatus("ele1_seedIy",1);
ntu_MC->SetBranchStatus("ele1_seedZside",1);
ntu_MC->SetBranchAddress("runId", &runId);
ntu_MC->SetBranchAddress("PV_n", &PV_n);
ntu_MC->SetBranchAddress("ele1_scEta", &scEta);
ntu_MC->SetBranchAddress("ele1_EOverP", &EoP);
if( useRegression < 1 )
ntu_MC->SetBranchAddress("ele1_scE", &scE);
else
ntu_MC->SetBranchAddress("ele1_scE_regression", &scE);
ntu_MC->SetBranchAddress("ele1_es", &ES);
ntu_MC->SetBranchAddress("ele1_tkP", &P);
ntu_MC->SetBranchAddress("ele1_seedIeta", &seedIeta);
ntu_MC->SetBranchAddress("ele1_seedIphi", &seedIphi);
ntu_MC->SetBranchAddress("ele1_seedIx", &seedIx);
ntu_MC->SetBranchAddress("ele1_seedIy", &seedIy);
ntu_MC->SetBranchAddress("ele1_seedZside", &seedZside);
//--------------------------------------------------------
// Define PU correction (to be used if useRegression == 0)
// corr = p0 + p1 * PV_n
float p0_EB;
float p1_EB;
float p0_EE;
float p1_EE;
if( useRegression == 0 )
{
//2012 EB
p0_EB = 0.9991;
p1_EB = 0.0001635;
//2012 EE
p0_EE = 0.9968;
p1_EE = 0.001046;
}
else
{
//2012 EB
p0_EB = 1.001;
p1_EB = -0.000143;
//2012 EE
p0_EE = 1.00327;
p1_EE = -0.000432;
}
float p0 = -1.;
float p1 = -1.;
if( strcmp(EBEE,"EB") == 0 )
{
p0 = p0_EB;
p1 = p1_EB;
}
else
{
p0 = p0_EE;
p1 = p1_EE;
}
//---------------------------------
// Build the reference distribution
std::cout << std::endl;
std::cout << "***** Build reference for " << EBEE << " *****" << std::endl;
TH1F* h_template = new TH1F("template", "", 2000, 0., 5.);
for(int ientry = 0; ientry < ntu_MC->GetEntries(); ++ientry)
{
if( (ientry%100000 == 0) ) std::cout << "reading MC entry " << ientry << "\r" << std::flush;
ntu_MC->GetEntry(ientry);
// selections
if( (strcmp(EBEE,"EB") == 0) && (fabs(scEta) > 1.45) ) continue; // barrel
if( (strcmp(EBEE,"EE") == 0) && (fabs(scEta) < 1.47 || fabs(scEta)>2.7) ) continue; // endcap
if( (absEtaMin != -1.) && (absEtaMax != -1.) )
{
if( (fabs(scEta) < absEtaMin) || (fabs(scEta) > absEtaMax) ) continue;
}
if( (IetaMin != -1.) && (IetaMax != -1.) && (IphiMin != -1.) && (IphiMax != -1.) )
{
if( (seedIeta < IetaMin) || (seedIeta > IetaMax) ) continue;
if( (seedIphi < IphiMin) || (seedIphi > IphiMax) ) continue;
}
// PU correction
float PUCorr = (p0 + p1*PV_n);
//std::cout << "p0: " << p0 << " p1: " << p1 << " PV_n: " << PV_n << std::endl;
// fill the template histogram
h_template -> Fill( (scE-ES)/(P-ES) / PUCorr );
}
std::cout << "Reference built for " << EBEE << " - " << h_template->GetEntries() << " events" << std::endl;
//---------------------
// Loop and sort events
std::cout << std::endl;
std::cout << "***** Sort events and define bins *****" << std::endl;
int nEntries = ntu_DA -> GetEntriesFast();
int nSavePts = 0;
std::vector<bool> isSavedEntries(nEntries);
std::vector<Sorter> sortedEntries;
std::vector<int> timeStampFirst;
for(int ientry = 0; ientry < nEntries; ++ientry)
{
ntu_DA -> GetEntry(ientry);
isSavedEntries.at(ientry) = false;
// selections
if( (strcmp(EBEE,"EB") == 0) && (fabs(scEta) > 1.45) ) continue; // barrel
if( (strcmp(EBEE,"EE") == 0) && (fabs(scEta) < 1.47 || fabs(scEta)>2.7) ) continue; // endcap
if( (absEtaMin != -1.) && (absEtaMax != -1.) )
{
if( (fabs(scEta) < absEtaMin) || (fabs(scEta) > absEtaMax) ) continue;
}
if( (IetaMin != -1.) && (IetaMax != -1.) && (IphiMin != -1.) && (IphiMax != -1.) )
{
if( (seedIeta < IetaMin) || (seedIeta > IetaMax) ) continue;
if( (seedIphi < IphiMin) || (seedIphi > IphiMax) ) continue;
}
if( timeStampHigh < t1 ) continue;
if( timeStampHigh > t2 ) continue;
if( scLaserCorr <= 0. ) continue;
isSavedEntries.at(ientry) = true;
// fill sorter
Sorter dummy;
dummy.time = timeStampHigh;
dummy.entry = ientry;
sortedEntries.push_back(dummy);
++nSavePts;
}
// sort events
std::sort(sortedEntries.begin(),sortedEntries.end(),Sorter());
std::cout << "Data sorted in " << EBEE << " - " << nSavePts << " events" << std::endl;
std::map<int,int> antiMap;
for(unsigned int iSaved = 0; iSaved < sortedEntries.size(); ++iSaved)
antiMap[sortedEntries.at(iSaved).entry] = iSaved;
//---------------------
// Loop and define bins
// "wide" bins - find events with time separation bigger than 1 day
int nWideBins = 1;
std::vector<int> wideBinEntryMax;
int timeStampOld = -1;
wideBinEntryMax.push_back(0);
for(int iSaved = 0; iSaved < nSavePts; ++iSaved)
{
if( iSaved%100000 == 0 ) std::cout << "reading saved entry " << iSaved << "\r" << std::flush;
ntu_DA->GetEntry(sortedEntries[iSaved].entry);
if( iSaved == 0 )
{
timeStampOld = timeStampHigh;
continue;
}
if( (timeStampHigh-timeStampOld)/3600. > timeLapse )
{
++nWideBins;
wideBinEntryMax.push_back(iSaved-1);
}
timeStampOld = timeStampHigh;
}
std::cout << std::endl;
wideBinEntryMax.push_back(nSavePts);
// bins with approximatively evtsPerPoint events per bin
int nBins = 0;
std::vector<int> binEntryMax;
binEntryMax.push_back(0);
for(int wideBin = 0; wideBin < nWideBins; ++wideBin)
{
int nTempBins = std::max(1,int( (wideBinEntryMax.at(wideBin+1)-wideBinEntryMax.at(wideBin))/evtsPerPoint ));
int nTempBinEntries = int( (wideBinEntryMax.at(wideBin+1)-wideBinEntryMax.at(wideBin))/nTempBins );
for(int tempBin = 0; tempBin < nTempBins; ++tempBin)
{
++nBins;
if( tempBin < nTempBins - 1 )
binEntryMax.push_back( wideBinEntryMax.at(wideBin) + (tempBin+1)*nTempBinEntries );
else
binEntryMax.push_back( wideBinEntryMax.at(wideBin+1) );
}
}
std::cout << "nBins = " << nBins << std::endl;
//for(int bin = 0; bin < nBins; ++bin)
// std::cout << "bin: " << bin
// << " entry min: " << setw(6) << binEntryMax.at(bin)
// << " entry max: " << setw(6) << binEntryMax.at(bin+1)
// << " events: " << setw(6) << binEntryMax.at(bin+1)-binEntryMax.at(bin)
// << std::endl;
//---------------------
// histogram definition
TH1F* h_scOccupancy_eta = new TH1F("h_scOccupancy_eta","", 298, -2.6, 2.6);
TH1F* h_scOccupancy_phi = new TH1F("h_scOccupancy_phi","", 363, -3.1765, 3.159);
SetHistoStyle(h_scOccupancy_eta);
SetHistoStyle(h_scOccupancy_phi);
TH2F* h_seedOccupancy_EB = new TH2F("h_seedOccupancy_EB","", 171, -85., 86., 361, 0.,361.);
TH2F* h_seedOccupancy_EEp = new TH2F("h_seedOccupancy_EEp","", 101, 0.,101., 100, 0.,101.);
TH2F* h_seedOccupancy_EEm = new TH2F("h_seedOccupancy_EEm","", 101, 0.,101., 100, 0.,101.);
SetHistoStyle(h_seedOccupancy_EB);
SetHistoStyle(h_seedOccupancy_EEp);
SetHistoStyle(h_seedOccupancy_EEm);
TH1F* h_EoP_spread = new TH1F("h_EoP_spread","",100,yMIN,yMAX);
TH1F* h_EoC_spread = new TH1F("h_EoC_spread","",100,yMIN,yMAX);
TH1F* h_EoP_spread_run = new TH1F("h_EoP_spread_run","",100,yMIN,yMAX);
TH1F* h_EoC_spread_run = new TH1F("h_EoC_spread_run","",100,yMIN,yMAX);
SetHistoStyle(h_EoP_spread,"EoP");
SetHistoStyle(h_EoC_spread,"EoC");
SetHistoStyle(h_EoP_spread_run,"EoP");
SetHistoStyle(h_EoC_spread_run,"EoC");
TH1F* h_EoP_chi2 = new TH1F("h_EoP_chi2","",50,0.,5.);
TH1F* h_EoC_chi2 = new TH1F("h_EoC_chi2","",50,0.,5.);
SetHistoStyle(h_EoP_chi2,"EoP");
SetHistoStyle(h_EoC_chi2,"EoC");
TH1F** h_EoP = new TH1F*[nBins];
TH1F** h_EoC = new TH1F*[nBins];
TH1F** h_Las = new TH1F*[nBins];
TH1F** h_Tsp = new TH1F*[nBins];
TH1F** h_Cvl = new TH1F*[nBins];
for(int i = 0; i < nBins; ++i)
{
char histoName[80];
sprintf(histoName, "EoP_%d", i);
h_EoP[i] = new TH1F(histoName, histoName, 2000, 0., 5.);
SetHistoStyle(h_EoP[i],"EoP");
sprintf(histoName, "EoC_%d", i);
h_EoC[i] = new TH1F(histoName, histoName, 2000, 0., 5.);
SetHistoStyle(h_EoC[i],"EoC");
sprintf(histoName, "Las_%d", i);
h_Las[i] = new TH1F(histoName, histoName, 500, 0.5, 1.5);
sprintf(histoName, "Tsp_%d", i);
h_Tsp[i] = new TH1F(histoName, histoName, 500, 0.5, 1.5);
}
// function definition
TF1** f_EoP = new TF1*[nBins];
TF1** f_EoC = new TF1*[nBins];
// graphs definition
TGraphAsymmErrors* g_fit = new TGraphAsymmErrors();
TGraphAsymmErrors* g_c_fit = new TGraphAsymmErrors();
TGraphAsymmErrors* g_fit_run = new TGraphAsymmErrors();
TGraphAsymmErrors* g_c_fit_run = new TGraphAsymmErrors();
TGraph* g_las = new TGraph();
TGraphErrors* g_LT = new TGraphErrors();
g_fit->GetXaxis()->SetTimeFormat("%d/%m%F1970-01-01 00:00:00");
g_fit->GetXaxis()->SetTimeDisplay(1);
g_c_fit->GetXaxis()->SetTimeFormat("%d/%m%F1970-01-01 00:00:00");
g_c_fit->GetXaxis()->SetTimeDisplay(1);
g_las->GetXaxis()->SetTimeFormat("%d/%m%F1970-01-01 00:00:00");
g_las->GetXaxis()->SetTimeDisplay(1);
g_LT->GetXaxis()->SetTimeFormat("%d/%m%F1970-01-01 00:00:00");
g_LT->GetXaxis()->SetTimeDisplay(1);
//------------------------------------
// loop on the saved and sorted events
std::cout << std::endl;
std::cout << "***** Fill and fit histograms *****" << std::endl;
std::vector<int> Entries(nBins);
std::vector<double> AveTime(nBins);
std::vector<int> MinTime(nBins);
std::vector<int> MaxTime(nBins);
std::vector<double> AveRun(nBins);
std::vector<int> MinRun(nBins);
std::vector<int> MaxRun(nBins);
std::vector<double> AveLT(nBins);
std::vector<double> AveLT2(nBins);
int iSaved = -1;
for(int ientry = 0; ientry < nEntries; ++ientry)
{
if( (ientry%100000 == 0) ) std::cout << "reading entry " << ientry << "\r" << std::flush;
if( isSavedEntries.at(ientry) == false ) continue;
++iSaved;
int iSaved = antiMap[ientry];
int bin = -1;
for(bin = 0; bin < nBins; ++bin)
if( iSaved >= binEntryMax.at(bin) && iSaved < binEntryMax.at(bin+1) )
break;
//std::cout << "bin = " << bin << " iSaved = "<< iSaved << std::endl;
ntu_DA->GetEntry(ientry);
Entries[bin] += 1;
if( iSaved == binEntryMax.at(bin)+1 ) MinTime[bin] = timeStampHigh;
if( iSaved == binEntryMax.at(bin+1)-1 ) MaxTime[bin] = timeStampHigh;
AveTime[bin] += timeStampHigh;
if( iSaved == binEntryMax.at(bin)+1 ) MinRun[bin] = runId;
if( iSaved == binEntryMax.at(bin+1)-1 ) MaxRun[bin] = runId;
AveRun[bin] += runId;
float LT = (-1. / seedLaserAlpha * log(scLaserCorr));
AveLT[bin] += LT;
AveLT2[bin] += LT*LT;
// PU correction
float PUCorr = (p0 + p1*PV_n);
// fill the histograms
(h_EoP[bin]) -> Fill( (scE-ES)/(P-ES) / scLaserCorr / PUCorr);
(h_EoC[bin]) -> Fill( (scE-ES)/(P-ES) / PUCorr );
(h_Las[bin]) -> Fill(scLaserCorr);
(h_Tsp[bin]) -> Fill(1./scLaserCorr);
h_scOccupancy_eta -> Fill(scEta);
h_scOccupancy_phi -> Fill(scPhi);
if(seedZside == 0)
h_seedOccupancy_EB -> Fill(seedIeta,seedIphi);
if(seedZside > 0)
h_seedOccupancy_EEp -> Fill(seedIx,seedIy);
if(seedZside < 0)
h_seedOccupancy_EEm -> Fill(seedIx,seedIy);
}
for(int bin = 0; bin < nBins; ++bin)
{
AveTime[bin] = 1. * AveTime[bin] / (binEntryMax.at(bin+1)-binEntryMax.at(bin));
AveRun[bin] = 1. * AveRun[bin] / (binEntryMax.at(bin+1)-binEntryMax.at(bin));
AveLT[bin] = 1. * AveLT[bin] / (binEntryMax.at(bin+1)-binEntryMax.at(bin));
AveLT2[bin] = 1. * AveLT2[bin] / (binEntryMax.at(bin+1)-binEntryMax.at(bin));
//std::cout << date << " " << AveTime[i] << " " << MinTime[i] << " " << MaxTime[i] << std::endl;
}
int rebin = 2;
if( strcmp(EBEE,"EE") == 0 ) rebin *= 2;
h_template -> Rebin(rebin);
float EoP_scale = 0.;
float EoP_err = 0.;
int EoP_nActiveBins = 0;
float EoC_scale = 0.;
float EoC_err = 0.;
int EoC_nActiveBins = 0;
float LCInv_scale = 0;
std::vector<int> validBins;
for(int i = 0; i < nBins; ++i)
{
bool isValid = true;
h_EoP[i] -> Rebin(rebin);
h_EoC[i] -> Rebin(rebin);
//------------------------------------
// Fill the graph for uncorrected data
// define the fitting function
// N.B. [0] * ( [1] * f( [1]*(x-[2]) ) )
//o -> cd();
char convolutionName[50];
sprintf(convolutionName,"h_convolution_%d",i);
//h_Cvl[i] = ConvoluteTemplate(std::string(convolutionName),h_template,h_Las[i],32768,-5.,5.);
h_Cvl[i] = MellinConvolution(std::string(convolutionName),h_template,h_Tsp[i]);
histoFunc* templateHistoFunc = new histoFunc(h_template);
histoFunc* templateConvolutedHistoFunc = new histoFunc(h_Cvl[i]);
char funcName[50];
sprintf(funcName,"f_EoP_%d",i);
if( strcmp(EBEE,"EB") == 0 )
f_EoP[i] = new TF1(funcName, templateConvolutedHistoFunc, 0.8*(h_Tsp[i]->GetMean()), 1.4*(h_Tsp[i]->GetMean()), 3, "histoFunc");
else
f_EoP[i] = new TF1(funcName, templateConvolutedHistoFunc, 0.75*(h_Tsp[i]->GetMean()), 1.5*(h_Tsp[i]->GetMean()), 3, "histoFunc");
f_EoP[i] -> SetParName(0,"Norm");
f_EoP[i] -> SetParName(1,"Scale factor");
f_EoP[i] -> SetLineWidth(1);
f_EoP[i] -> SetNpx(10000);
double xNorm = h_EoP[i]->GetEntries()/h_template->GetEntries() *
h_EoP[i]->GetBinWidth(1)/h_template->GetBinWidth(1);
f_EoP[i] -> FixParameter(0, xNorm);
f_EoP[i] -> SetParameter(1, 1.);
f_EoP[i] -> FixParameter(2, 0.);
f_EoP[i] -> SetLineColor(kRed+2);
int fStatus = 0;
int nTrials = 0;
TFitResultPtr rp;
rp = h_EoP[i] -> Fit(funcName, "QERLS+");
while( (fStatus != 0) && (nTrials < 10) )
{
rp = h_EoP[i] -> Fit(funcName, "QERLS+");
fStatus = rp;
if(fStatus == 0) break;
++nTrials;
}
// fill the graph
double eee = f_EoP[i]->GetParError(1);
//float k = f_EoP[i]->GetParameter(1);
float k = f_EoP[i]->GetParameter(1) / h_Tsp[i]->GetMean(); //needed when using mellin's convolution
if( (h_EoP[i]->GetEntries() > 3) && (fStatus == 0) && (eee > 0.05*h_template->GetRMS()/sqrt(evtsPerPoint)) )
{
float date = (float)AveTime[i];
float dLow = (float)(AveTime[i]-MinTime[i]);
float dHig = (float)(MaxTime[i]-AveTime[i]);
float run = (float)AveRun[i];
float rLow = (float)(AveRun[i]-MinRun[i]);
float rHig = (float)(MaxRun[i]-AveRun[i]);
g_fit -> SetPoint(i, date , 1./k);
g_fit -> SetPointError(i, dLow , dHig, eee/k/k, eee/k/k);
g_fit_run -> SetPoint(i, run , 1./k);
g_fit_run -> SetPointError(i, rLow , rHig, eee/k/k, eee/k/k);
h_EoP_chi2 -> Fill(f_EoP[i]->GetChisquare()/f_EoP[i]->GetNDF());
EoP_scale += 1./k;
EoP_err += eee/k/k;
++EoP_nActiveBins;
}
else
{
std::cout << "Fitting uncorrected time bin: " << i << " Fail status: " << fStatus << " sigma: " << eee << std::endl;
isValid = false;
}
//----------------------------------
// Fill the graph for corrected data
// define the fitting function
// N.B. [0] * ( [1] * f( [1]*(x-[2]) ) )
sprintf(funcName,"f_EoC_%d",i);
if( strcmp(EBEE,"EB") == 0 )
f_EoC[i] = new TF1(funcName, templateHistoFunc, 0.8, 1.4, 3, "histoFunc");
else
f_EoC[i] = new TF1(funcName, templateHistoFunc, 0.75, 1.5, 3, "histoFunc");
f_EoC[i] -> SetParName(0,"Norm");
f_EoC[i] -> SetParName(1,"Scale factor");
f_EoC[i] -> SetLineWidth(1);
f_EoC[i] -> SetNpx(10000);
xNorm = h_EoC[i]->GetEntries()/h_template->GetEntries() *
h_EoC[i]->GetBinWidth(1)/h_template->GetBinWidth(1);
f_EoC[i] -> FixParameter(0, xNorm);
f_EoC[i] -> SetParameter(1, 0.99);
f_EoC[i] -> FixParameter(2, 0.);
f_EoC[i] -> SetLineColor(kGreen+2);
rp = h_EoC[i] -> Fit(funcName, "QERLS+");
fStatus = rp;
nTrials = 0;
while( (fStatus != 0) && (nTrials < 10) )
{
rp = h_EoC[i] -> Fit(funcName, "QERLS+");
fStatus = rp;
if(fStatus == 0) break;
++nTrials;
}
// fill the graph
k = f_EoC[i]->GetParameter(1);
eee = f_EoC[i]->GetParError(1);
if( (h_EoC[i]->GetEntries() > 10) && (fStatus == 0) && (eee > 0.05*h_template->GetRMS()/sqrt(evtsPerPoint)) )
{
float date = (float)AveTime[i];
float dLow = (float)(AveTime[i]-MinTime[i]);
float dHig = (float)(MaxTime[i]-AveTime[i]);
float run = (float)AveRun[i];
float rLow = (float)(AveRun[i]-MinRun[i]);
float rHig = (float)(MaxRun[i]-AveRun[i]);
g_c_fit -> SetPoint(i, date , 1./k);
g_c_fit -> SetPointError(i, dLow , dHig , eee/k/k, eee/k/k);
g_c_fit_run -> SetPoint(i, run , 1./k);
g_c_fit_run -> SetPointError(i, rLow , rHig, eee/k/k, eee/k/k);
h_EoC_chi2 -> Fill(f_EoC[i]->GetChisquare()/f_EoP[i]->GetNDF());
EoC_scale += 1./k;
EoC_err += eee/k/k;
++EoC_nActiveBins;
}
else
{
std::cout << "Fitting corrected time bin: " << i << " Fail status: " << fStatus << " sigma: " << eee << std::endl;
isValid = false;
}
if( isValid == true ) validBins.push_back(i);
}
EoP_scale /= EoP_nActiveBins;
EoP_err /= EoP_nActiveBins;
EoC_scale /= EoC_nActiveBins;
EoC_err /= EoC_nActiveBins;
//----------------------------------------
// Fill the graph for avg laser correction
//fede
for(unsigned int itr = 0; itr < validBins.size(); ++itr)
{
int i = validBins.at(itr);
g_las -> SetPoint(itr, (float)AveTime[i], h_Tsp[i]->GetMean() );
g_LT -> SetPoint(itr, (float)AveTime[i], AveLT[i] );
g_LT -> SetPointError(itr, 0., sqrt(AveLT2[i]-AveLT[i]*AveLT[i]) / sqrt(Entries[i]) );
LCInv_scale += h_Tsp[i]->GetMean();
}
LCInv_scale /= validBins.size();
//---------------
// Rescale graphs
float yscale = 1.;
//float yscale = 1./EoC_scale;
for(unsigned int itr = 0; itr < validBins.size(); ++itr)
{
double x,y;
g_fit -> GetPoint(itr,x,y);
g_fit -> SetPoint(itr,x,y*yscale);
if ( (x > t1) && (x < t2) ) h_EoP_spread -> Fill(y*yscale);
g_c_fit -> GetPoint(itr,x,y);
g_c_fit -> SetPoint(itr,x,y*yscale);
if ( (x > t1) && (x < t2) ) h_EoC_spread -> Fill(y*yscale);
g_fit_run -> GetPoint(itr,x,y);
g_fit_run -> SetPoint(itr,x,y*yscale);
if ( (x > t1) && (x < t2) ) h_EoP_spread_run -> Fill(y*yscale);
g_c_fit_run -> GetPoint(itr,x,y);
g_c_fit_run -> SetPoint(itr,x,y*yscale);
if ( (x > t1) && (x < t2) ) h_EoC_spread_run -> Fill(y*yscale);
g_las -> GetPoint(itr,x,y);
g_las -> SetPoint(itr,x,y*yscale*EoP_scale/LCInv_scale);
}
TF1 EoC_pol0("EoC_pol0","pol0",t1,t2);
EoC_pol0.SetLineColor(kGreen+2);
EoC_pol0.SetLineWidth(2);
EoC_pol0.SetLineStyle(2);
g_c_fit -> Fit("EoC_pol0","QNR");
//----------------------------
// Print out global quantities
std::cout << std::endl;
std::cout << "***** Mean scales and errors *****" << std::endl;
std::cout << std::fixed;
std::cout << std::setprecision(4);
std::cout << "Mean EoP scale: " << std::setw(6) << EoP_scale << " mean EoP error: " << std::setw(8) << EoP_err << std::endl;
std::cout << "Mean EoC scale: " << std::setw(6) << EoC_scale << " mean EoC error: " << std::setw(8) << EoC_err << std::endl;
std::cout << "Mean 1/LC scale: " << std::setw(6) << LCInv_scale << std::endl;
//-----------------
// Occupancy plots
//-----------------
TCanvas* c_scOccupancy = new TCanvas("c_scOccupancy","SC occupancy",0,0,1000,500);
c_scOccupancy -> Divide(2,1);
c_scOccupancy -> cd(1);
h_scOccupancy_eta -> GetXaxis() -> SetTitle("sc #eta");
h_scOccupancy_eta -> GetYaxis() -> SetTitle("events");
h_scOccupancy_eta -> Draw();
c_scOccupancy -> cd(2);
h_scOccupancy_phi -> GetXaxis() -> SetTitle("sc #phi");
h_scOccupancy_phi -> GetYaxis() -> SetTitle("events");
h_scOccupancy_phi -> Draw();
TCanvas* c_seedOccupancy = new TCanvas("c_seedOccupancy","seed occupancy",0,0,1500,500);
c_seedOccupancy -> Divide(3,1);
c_seedOccupancy -> cd(1);
h_seedOccupancy_EB -> GetXaxis() -> SetTitle("seed i#eta");
h_seedOccupancy_EB -> GetYaxis() -> SetTitle("seed i#phi");
h_seedOccupancy_EB -> Draw("COLZ");
c_seedOccupancy -> cd(2);
h_seedOccupancy_EEp -> GetXaxis() -> SetTitle("seed ix");
h_seedOccupancy_EEp -> GetYaxis() -> SetTitle("seed iy");
h_seedOccupancy_EEp -> Draw("COLZ");
c_seedOccupancy -> cd(3);
h_seedOccupancy_EEm -> GetXaxis() -> SetTitle("seed ix");
h_seedOccupancy_EEm -> GetYaxis() -> SetTitle("seed iy");
h_seedOccupancy_EEm -> Draw("COLZ");
//-----------
// Chi2 plots
//-----------
TCanvas* c_chi2 = new TCanvas("c_chi2","fit chi2",0,0,500,500);
c_chi2 -> cd();
h_EoC_chi2 -> GetXaxis() -> SetTitle("#chi^{2}/N_{dof}");
h_EoC_chi2 -> Draw("");
gPad -> Update();
TPaveStats* s_EoC = new TPaveStats;
s_EoC = (TPaveStats*)(h_EoC_chi2->GetListOfFunctions()->FindObject("stats"));
s_EoC -> SetStatFormat("1.4g");
s_EoC -> SetTextColor(kGreen+2);
s_EoC->SetY1NDC(0.59);
s_EoC->SetY2NDC(0.79);
s_EoC -> Draw("sames");
gPad -> Update();
h_EoP_chi2 -> GetXaxis() -> SetTitle("#chi^{2}/N_{dof}");
h_EoP_chi2 -> Draw("sames");
gPad -> Update();
TPaveStats* s_EoP = new TPaveStats;
s_EoP = (TPaveStats*)(h_EoP_chi2->GetListOfFunctions()->FindObject("stats"));
s_EoP -> SetStatFormat("1.4g");
s_EoP -> SetTextColor(kRed+2);
s_EoP->SetY1NDC(0.79);
s_EoP->SetY2NDC(0.99);
s_EoP -> Draw("sames");
gPad -> Update();
//-------------------
// Final plot vs date
//-------------------
TCanvas* cplot = new TCanvas("cplot", "history plot vs date",100,100,1000,500);
cplot->cd();
TPad *cLeft = new TPad("pad_0","pad_0",0.00,0.00,0.75,1.00);
TPad *cRight = new TPad("pad_1","pad_1",0.75,0.00,1.00,1.00);
cLeft->SetLeftMargin(0.15);
cLeft->SetRightMargin(0.025);
cRight->SetLeftMargin(0.025);
cLeft->Draw();
cRight->Draw();
float tYoffset = 1.0;
float labSize = 0.05;
float labSize2 = 0.06;
cLeft->cd();
cLeft->SetGridx();
cLeft->SetGridy();
TH1F *hPad = (TH1F*)gPad->DrawFrame(t1,0.9,t2,1.05);
hPad->GetXaxis()->SetTimeFormat("%d/%m%F1970-01-01 00:00:00");
hPad->GetXaxis()->SetTimeDisplay(1);
hPad->GetXaxis() -> SetRangeUser(MinTime[0]-43200,MaxTime[nBins-1]+43200);
hPad->GetXaxis()->SetTitle("date (day/month)");
if( strcmp(EBEE,"EB") == 0 )
hPad->GetYaxis()->SetTitle("Relative E/p scale");
else
hPad->GetYaxis()->SetTitle("Relative E/p scale");
hPad->GetYaxis()->SetTitleOffset(tYoffset);
hPad->GetXaxis()->SetLabelSize(labSize);
hPad->GetXaxis()->SetTitleSize(labSize2);
hPad->GetYaxis()->SetLabelSize(labSize);
hPad->GetYaxis()->SetTitleSize(labSize2);
hPad -> SetMinimum(yMIN);
hPad -> SetMaximum(yMAX);
// draw history plot
g_fit -> SetMarkerStyle(24);
g_fit -> SetMarkerSize(0.7);
g_fit -> SetMarkerColor(kRed+2);
g_fit -> SetLineColor(kRed+2);
g_fit -> Draw("P");
g_c_fit -> SetMarkerStyle(20);
g_c_fit -> SetMarkerColor(kGreen+2);
g_c_fit -> SetLineColor(kGreen+2);
g_c_fit -> SetMarkerSize(0.7);
g_c_fit -> Draw("P,same");
g_las -> SetLineColor(kAzure-2);
g_las -> SetLineWidth(2);
g_las -> Draw("L,same");
TLegend* legend = new TLegend(0.60,0.78,0.90,0.94);
legend -> SetLineColor(kWhite);
legend -> SetLineWidth(0);
legend -> SetFillColor(kWhite);
legend -> SetFillStyle(0);
legend -> SetTextFont(42);
legend -> SetTextSize(0.04);
legend -> AddEntry(g_c_fit,"with LM correction","PL");
legend -> AddEntry(g_fit, "without LM correction","PL");
legend -> AddEntry(g_las, "1 / LM correction","L");
legend -> Draw("same");
char latexBuffer[250];
sprintf(latexBuffer,"CMS 2012 Preliminary");
TLatex* latex = new TLatex(0.18,0.89,latexBuffer);
latex -> SetNDC();
latex -> SetTextFont(62);
latex -> SetTextSize(0.05);
latex -> Draw("same");
//sprintf(latexBuffer,"#sqrt{s} = 8 TeV L = 3.95 fb^{-1}");
sprintf(latexBuffer,"#sqrt{s} = 8 TeV");
TLatex* latex2 = new TLatex(0.18,0.84,latexBuffer);
latex2 -> SetNDC();
latex2 -> SetTextFont(42);
latex2 -> SetTextSize(0.05);
latex2 -> Draw("same");
if( strcmp(EBEE,"EB") == 0 )
sprintf(latexBuffer,"ECAL Barrel");
else
sprintf(latexBuffer,"ECAL Endcap");
TLatex* latex3 = new TLatex(0.18,0.19,latexBuffer);
latex3 -> SetNDC();
latex3 -> SetTextFont(42);
latex3 -> SetTextSize(0.05);
latex3 -> Draw("same");
//sprintf(latexBuffer,"%.2E events",1.*nSavePts);
//TLatex* latex4 = new TLatex(0.18,0.24,latexBuffer);
//latex4 -> SetNDC();
//latex4 -> SetTextFont(42);
//latex4 -> SetTextSize(0.04);
//latex4 -> Draw("same");
//
//sprintf(latexBuffer,"%d events/bin - %d bins",evtsPerPoint,nBins);
//TLatex* latex5 = new TLatex(0.18,0.19,latexBuffer);
//latex5 -> SetNDC();
//latex5 -> SetTextFont(42);
//latex5 -> SetTextSize(0.04);
//latex5 -> Draw("same");
cRight -> cd();
TPaveStats* s_EoP_spread = new TPaveStats();
TPaveStats* s_EoC_spread = new TPaveStats();
h_EoC_spread -> SetFillStyle(3001);
h_EoC_spread -> SetFillColor(kGreen+2);
h_EoC_spread->GetYaxis()->SetLabelSize(0.09);
h_EoC_spread->GetYaxis()->SetLabelOffset(-0.03);
h_EoC_spread->GetYaxis()->SetTitleSize(0.08);
h_EoC_spread->GetYaxis()->SetNdivisions(505);
h_EoC_spread->GetXaxis()->SetLabelOffset(1000);
h_EoC_spread -> Draw("hbar");
gPad -> Update();
s_EoC_spread = (TPaveStats*)(h_EoC_spread->GetListOfFunctions()->FindObject("stats"));
s_EoC_spread -> SetStatFormat("1.4g");
s_EoC_spread->SetX1NDC(0.06); //new x start position
s_EoC_spread->SetX2NDC(0.71); //new x end position
s_EoC_spread->SetY1NDC(0.93); //new x start position
s_EoC_spread->SetY2NDC(0.84); //new x end position
s_EoC_spread -> SetOptStat(1100);
s_EoC_spread ->SetTextColor(kGreen+2);
s_EoC_spread ->SetTextSize(0.08);
s_EoC_spread -> Draw("sames");
h_EoP_spread -> SetFillStyle(3001);
h_EoP_spread -> SetFillColor(kRed+2);
h_EoP_spread -> Draw("hbarsames");
gPad -> Update();
s_EoP_spread = (TPaveStats*)(h_EoP_spread->GetListOfFunctions()->FindObject("stats"));
s_EoP_spread -> SetStatFormat("1.4g");
s_EoP_spread->SetX1NDC(0.06); //new x start position
s_EoP_spread->SetX2NDC(0.71); //new x end position
s_EoP_spread->SetY1NDC(0.83); //new x start position
s_EoP_spread->SetY2NDC(0.74); //new x end position
s_EoP_spread ->SetOptStat(1100);
s_EoP_spread ->SetTextColor(kRed+2);
s_EoP_spread ->SetTextSize(0.08);
s_EoP_spread -> Draw("sames");
/*
h_EoP_spread -> SetFillStyle(3001);
h_EoP_spread -> SetFillColor(kRed+2);
h_EoP_spread -> Draw("hbarsame");
gPad -> Update();
*/
//------------------
// Final plot vs run
//------------------
TCanvas* cplot_run = new TCanvas("cplot_run", "history plot vs run",100,100,1000,500);
cplot_run->cd();
cLeft = new TPad("pad_0_run","pad_0_run",0.00,0.00,0.75,1.00);
cRight = new TPad("pad_1_run","pad_1_run",0.75,0.00,1.00,1.00);
cLeft->SetLeftMargin(0.15);
cLeft->SetRightMargin(0.025);
cRight->SetLeftMargin(0.025);
cLeft->Draw();
cRight->Draw();
tYoffset = 1.5;
labSize = 0.04;
labSize2 = 0.07;
cLeft->cd();
cLeft->SetGridx();
cLeft->SetGridy();
hPad = (TH1F*)gPad->DrawFrame(MinRun[0]-1000,0.9,MaxRun[nBins-1]+1000,1.05);
hPad->GetXaxis()->SetTitle("run");
if( strcmp(EBEE,"EB") == 0 )
hPad->GetYaxis()->SetTitle("Relative E/p scale");
else
hPad->GetYaxis()->SetTitle("Relative E/p scale");
hPad->GetYaxis()->SetTitleOffset(tYoffset);
hPad->GetXaxis()->SetLabelSize(labSize);
hPad->GetXaxis()->SetTitleSize(labSize);
hPad->GetYaxis()->SetLabelSize(labSize);
hPad->GetYaxis()->SetTitleSize(labSize);
hPad -> SetMinimum(yMIN);
hPad -> SetMaximum(yMAX);
// draw history plot
g_fit_run -> SetMarkerStyle(20);
g_fit_run -> SetMarkerSize(0.7);
g_fit_run -> SetMarkerColor(kRed+2);
g_fit_run -> SetLineColor(kRed+2);
g_fit_run -> Draw("P");
g_c_fit_run -> SetMarkerStyle(20);
g_c_fit_run -> SetMarkerColor(kGreen+2);
g_c_fit_run -> SetLineColor(kGreen+2);
g_c_fit_run -> SetMarkerSize(0.7);
g_c_fit_run -> Draw("P,same");
cRight -> cd();
s_EoP_spread = new TPaveStats();
s_EoC_spread = new TPaveStats();
h_EoC_spread_run -> SetFillStyle(3001);
h_EoC_spread_run -> SetFillColor(kGreen+2);
h_EoC_spread_run->GetYaxis()->SetLabelSize(labSize2);
h_EoC_spread_run->GetYaxis()->SetTitleSize(labSize2);
h_EoC_spread_run->GetYaxis()->SetNdivisions(505);
h_EoC_spread_run->GetYaxis()->SetLabelOffset(-0.02);
h_EoC_spread_run->GetXaxis()->SetLabelOffset(1000);
h_EoC_spread_run -> Draw("hbar");
gPad -> Update();
s_EoC_spread = (TPaveStats*)(h_EoC_spread_run->GetListOfFunctions()->FindObject("stats"));
s_EoC_spread ->SetTextColor(kGreen+2);
s_EoC_spread ->SetTextSize(0.06);
s_EoC_spread->SetX1NDC(0.49); //new x start position
s_EoC_spread->SetX2NDC(0.99); //new x end position
s_EoC_spread->SetY1NDC(0.875); //new x start position
s_EoC_spread->SetY2NDC(0.990); //new x end position
s_EoC_spread -> SetOptStat(1100);
s_EoC_spread -> Draw("sames");
h_EoP_spread_run -> SetFillStyle(3001);
h_EoP_spread_run -> SetFillColor(kRed+2);
h_EoP_spread_run -> Draw("hbarsames");
gPad -> Update();
s_EoP_spread = (TPaveStats*)(h_EoP_spread_run->GetListOfFunctions()->FindObject("stats"));
s_EoP_spread->SetX1NDC(0.49); //new x start position
s_EoP_spread->SetX2NDC(0.99); //new x end position
s_EoP_spread->SetY1NDC(0.750); //new x start position
s_EoP_spread->SetY2NDC(0.875); //new x end position
s_EoP_spread ->SetOptStat(1100);
s_EoP_spread ->SetTextColor(kRed+2);
s_EoP_spread ->SetTextSize(0.06);
s_EoP_spread -> Draw("sames");
c_chi2 -> Print((folderName+"/"+folderName+"_fitChi2.png").c_str(),"png");
c_scOccupancy -> Print((folderName+"/"+folderName+"_scOccupancy.png").c_str(),"png");
c_seedOccupancy -> Print((folderName+"/"+folderName+"_seedOccupancy.png").c_str(),"png");
cplot -> Print((folderName+"/"+folderName+"_history_vsTime.png").c_str(),"png");
cplot_run -> Print((folderName+"/"+folderName+"_history_vsRun.png").c_str(),"png");
c_chi2 -> Print((folderName+"/"+folderName+"_fitChi2.pdf").c_str(),"pdf");
c_scOccupancy -> Print((folderName+"/"+folderName+"_scOccupancy.pdf").c_str(),"pdf");
c_seedOccupancy -> Print((folderName+"/"+folderName+"_seedOccupancy.pdf").c_str(),"pdf");
cplot -> Print((folderName+"/"+folderName+"_history_vsTime.pdf").c_str(),"pdf");
cplot_run -> Print((folderName+"/"+folderName+"_history_vsRun.pdf").c_str(),"pdf");
cplot -> SaveAs((folderName+"/"+folderName+"_history_vsTime.C").c_str());
cplot_run -> SaveAs((folderName+"/"+folderName+"_history_vsRun.C").c_str());
o -> cd();
h_template -> Write();
h_scOccupancy_eta -> Write();
h_scOccupancy_phi -> Write();
h_seedOccupancy_EB -> Write();
h_seedOccupancy_EEp -> Write();
h_seedOccupancy_EEm -> Write();
g_fit -> Write("g_fit");
g_c_fit -> Write("g_c_fit");
g_fit_run -> Write("g_fit_run");
g_c_fit_run -> Write("g_c_fit_run");
g_las -> Write("g_las");
g_LT -> Write("g_LT");
h_EoP_chi2 -> Write();
h_EoC_chi2 -> Write();
//for(int i = 0; i < nBins; ++i)
//{
// h_EoP[i] -> GetXaxis() -> SetTitle("E/p");
// h_EoP[i] -> Write();
//
// h_EoC[i] -> GetXaxis() -> SetTitle("E/p");
// h_EoC[i] -> Write();
//
// h_Tsp[i] -> Write();
//
// h_Cvl[i] -> Write();
//}
o -> Close();
}
void
//HHH_TT_X_1or2tag(bool scaled=true, bool log=true, float min=0.1, float max=-1., string inputfile="root/$HISTFILE", const char* directory="tauTau_$CATEGORY")
HHH_TT_X_1or2tag(bool scaled=true, bool log=true, float min=0.1, float max=-1., string inputfile="root/$HISTFILE", const char* directory="tauTau_$CATEGORY")
{
// defining the common canvas, axes pad styles
SetStyle(); gStyle->SetLineStyleString(11,"20 10");
// determine category tag
const char* category = ""; const char* category_extra = ""; const char* category_extra2 = "";
if(std::string(directory) == std::string("tauTau_2jet0tag")){ category = "#tau_{h}#tau_{h}"; }
if(std::string(directory) == std::string("tauTau_2jet0tag")){ category_extra= "2-jet 0 b-tag"; }
if(std::string(directory) == std::string("tauTau_2jet1tag" )){ category = "#tau_{h}#tau_{h}"; }
if(std::string(directory) == std::string("tauTau_2jet1tag" )){ category_extra= "2-jet 1 b-tag"; }
if(std::string(directory) == std::string("tauTau_2jet2tag" )){ category = "#tau_{h}#tau_{h}"; }
if(std::string(directory) == std::string("tauTau_2jet2tag" )){ category_extra = "2-jet 2 b-tag"; }
const char* dataset;
#ifdef MSSM
if(std::string(inputfile).find("7TeV")!=std::string::npos){dataset = "#scale[1.5]{CMS} h,H,A#rightarrow#tau#tau 4.9 fb^{-1} (7 TeV)";}
if(std::string(inputfile).find("8TeV")!=std::string::npos){
if(std::string(directory).find("btag")!=std::string::npos){
dataset = "#scale[1.5]{CMS} h,H,A#rightarrow#tau#tau 18.3 fb^{-1} (8 TeV)";
}
else{
dataset = "#scale[1.5]{CMS} h,H,A#rightarrow#tau#tau 19.7 fb^{-1} (8 TeV)";
}
}
#else
if(std::string(inputfile).find("8TeV")!=std::string::npos){dataset = "CMS, 19.7 fb^{-1} at 8 TeV";}
#endif
// open example histogram file
TFile* input = new TFile(inputfile.c_str());
#ifdef MSSM
TFile* input2 = new TFile((inputfile+"_$MH_$TANB").c_str());
#endif
TH1F* Fakes = refill((TH1F*)input->Get(TString::Format("%s/QCD" , directory)), "QCD"); InitHist(Fakes, "", "", TColor::GetColor(250,202,255), 1001);
// TH1F* EWK1 = refill((TH1F*)input->Get(TString::Format("%s/W" , directory)), "W" ); InitHist(EWK1 , "", "", TColor::GetColor(222,90,106), 1001);
TH1F* EWK2 = refill((TH1F*)input->Get(TString::Format("%s/ZLL" , directory)), "ZLL" ); InitHist(EWK2 , "", "", TColor::GetColor(222,90,106), 1001);
//TH1F* EWK3 = refill((TH1F*)input->Get(TString::Format("%s/ZL" , directory)), "ZL" ); InitHist(EWK3 , "", "", TColor::GetColor(222,90,106), 1001);
TH1F* EWK = refill((TH1F*)input->Get(TString::Format("%s/VV" , directory)), "VV" ); InitHist(EWK , "", "", TColor::GetColor(222,90,106), 1001);
TH1F* ttbar = refill((TH1F*)input->Get(TString::Format("%s/TT" , directory)), "TT" ); InitHist(ttbar, "", "", TColor::GetColor(155,152,204), 1001);
TH1F* Ztt = refill((TH1F*)input->Get(TString::Format("%s/ZTT" , directory)), "ZTT"); InitHist(Ztt , "", "", TColor::GetColor(248,206,104), 1001);
#ifdef MSSM
TH1F* ggHTohhTo2Tau2B = refill((TH1F*)input2->Get(TString::Format("%s/ggHTohhTo2Tau2B$MH" , directory)), "ggHTohhTo2Tau2B"); InitSignal(ggHTohhTo2Tau2B); ggHTohhTo2Tau2B->Scale($TANB*SIGNAL_SCALE);
/* if(std::string(directory)=="tauTau_2jet1tag") ggHTohhTo2Tau2B->Scale(0.5);
if(std::string(directory)=="tauTau_2jet2tag") ggHTohhTo2Tau2B->Scale(0.3);
TH1F* ggH_SM125 = refill((TH1F*)input->Get(TString::Format("%s/ggH_SM125",directory)),"ggH_SM125");InitSignal(ggH_SM125);ggH_SM125->Scale(SIGNAL_SCALE);
TH1F* qqH_SM125 = refill((TH1F*)input->Get(TString::Format("%s/qqH_SM125",directory)),"qqH_SM125");InitSignal(qqH_SM125);qqH_SM125->Scale(SIGNAL_SCALE);
TH1F* VH_SM125 = refill((TH1F*)input->Get(TString::Format("%s/VH_SM125",directory)),"VH_SM125");InitSignal(VH_SM125);VH_SM125->Scale(SIGNAL_SCALE);
// TH1F* WHToBB_SM125 = refill((TH1F*)input->Get(TString::Format("%s/WHToBB_SM125",directory)),"WHToBB_SM125");InitSignal(WHToBB_SM125);WHToBB_SM125->Scale(SIGNAL_SCALE);
TH1F* ZHToBB_SM125 = refill((TH1F*)input->Get(TString::Format("%s/ZHToBB_SM125",directory)),"ZHToBB_SM125");InitSignal(ZHToBB_SM125);ZHToBB_SM125->Scale(SIGNAL_SCALE);
*/
/*
TH1F* ggAToZhToLLTauTau = refill((TH1F*)input2->Get(TString::Format("%s/ggAToZhToLLTauTau$MH",directory)),"ggAToZhToLLTauTau"); InitSignal(ggAToZhToLLTauTau);
TH1F* ggAToZhToLLBB = refill((TH1F*)input2->Get(TString::Format("%s/ggAToZhToLLBB$MH",directory)),"ggAToZhToLLBB"); InitSignal(ggAToZhToLLBB);
TH1F* bbH = refill((TH1F*)input2->Get(TString::Format("%s/bbH$MH" , directory)), "bbH"); InitSignal(bbH);
*/
#endif
#ifdef ASIMOV
TH1F* data = refill((TH1F*)input->Get(TString::Format("%s/data_obs_asimov", directory)), "data", true);
#else
TH1F* data = refill((TH1F*)input->Get(TString::Format("%s/data_obs", directory)), "data",true);
#endif
InitHist(data, "#bf{m_{H} [GeV]}", "#bf{dN/dm_{H} [1/GeV]}"); InitData(data);
TH1F* ref=(TH1F*)Fakes->Clone("ref");
// ref->Add(EWK1 );
ref->Add(EWK2 );
//ref->Add(EWK3 );
ref->Add(EWK );
ref->Add(ttbar);
ref->Add(Ztt );
double unscaled[8];
unscaled[0] = Fakes->Integral();
unscaled[1] = EWK ->Integral();
// unscaled[1]+= EWK1 ->Integral();
unscaled[1]+= EWK2 ->Integral();
//unscaled[1]+= EWK3 ->Integral();
unscaled[2] = ttbar->Integral();
unscaled[3] = Ztt ->Integral();
#ifdef MSSM
unscaled[4] = ggHTohhTo2Tau2B ->Integral();
/*unscaled[5] = ggH_SM125->Integral();
unscaled[5]+= qqH_SM125->Integral();
unscaled[5]+= VH_SM125->Integral();
*/
/*
unscaled[5] = ggAToZhToLLTauTau->Integral();
unscaled[6] = ggAToZhToLLBB->Integral();
unscaled[7] = bbH ->Integral();
*/
#endif
if(scaled){
/* Fakes = refill(shape_histos(Fakes, datacard, "QCD"), "QCD");
EWK1 = refill(shape_histos(EWK1, datacard, "W"), "W");
EWK2 = refill(shape_histos(EWK2, datacard, "ZJ"), "ZJ");
EWK = refill(shape_histos(EWK, datacard, "VV"), "VV");
ttbar = refill(shape_histos(ttbar, datacard, "TT"), "TT");
Ztt = refill(shape_histos(Ztt, datacard, "ZTT"), "ZTT");
#ifdef MSSM
ggH = refill(shape_histos(ggH, datacard, "ggH$MH"), "ggH$MH");
bbH = refill(shape_histos(bbH, datacard, "bbH$MH"), "bbH$MH");
#else
ggH = refill(shape_histos(ggH, datacard, "ggH"), "ggH");
qqH = refill(shape_histos(qqH, datacard, "qqH"), "qqH");
VH = refill(shape_histos(VH, datacard, "VH"), "VH");
#endif
*/
rescale(Fakes, 7);
//rescale(EWK1 , 3);
rescale(EWK2 , 4);
//rescale(EWK3 , 5);
rescale(EWK , 6);
rescale(ttbar, 2);
rescale(Ztt , 1);
#ifdef MSSM
rescale(ggHTohhTo2Tau2B , 8);
/*
rescale(ggAToZhToLLTauTau,9);
rescale(ggAToZhToLLBB,10);
rescale(bbH , 11);
*/
#endif
}
TH1F* scales[8];
scales[0] = new TH1F("scales-Fakes", "", 8, 0, 8);
scales[0]->SetBinContent(1, unscaled[0]>0 ? (Fakes->Integral()/unscaled[0]-1.) : 0.);
scales[1] = new TH1F("scales-EWK" , "", 8, 0, 8);
scales[1]->SetBinContent(2, unscaled[1]>0 ? ((EWK ->Integral()
//+EWK1 ->Integral()
+EWK2 ->Integral()
//+EWK3 ->Integral()
)/unscaled[1]-1.) : 0.);
scales[2] = new TH1F("scales-ttbar", "", 8, 0, 8);
scales[2]->SetBinContent(3, unscaled[2]>0 ? (ttbar->Integral()/unscaled[2]-1.) : 0.);
scales[3] = new TH1F("scales-Ztt" , "", 8, 0, 8);
scales[3]->SetBinContent(4, unscaled[3]>0 ? (Ztt ->Integral()/unscaled[3]-1.) : 0.);
#ifdef MSSM
scales[4] = new TH1F("scales-ggHTohhTo2Tau2B" , "", 8, 0, 8);
scales[4]->SetBinContent(5, unscaled[4]>0 ? (ggHTohhTo2Tau2B ->Integral()/unscaled[4]-1.) : 0.);
/*
scales[5] = new TH1F("scales-ggAToZhToLLTauTau" , "", 8, 0, 8);
scales[5]->SetBinContent(6, unscaled[5]>0 ? (ggAToZhToLLTauTau ->Integral()/unscaled[5]-1.) : 0.);
scales[6] = new TH1F("scales-ggAToZhToLLBB" , "", 8, 0, 8);
scales[6]->SetBinContent(7, unscaled[6]>0 ? (ggAToZhToLLBB ->Integral()/unscaled[6]-1.) : 0.);
scales[7] = new TH1F("scales-bbH" , "", 8, 0, 8);
scales[7]->SetBinContent(8, unscaled[7]>0 ? (bbH ->Integral()/unscaled[7]-1.) : 0.);
*/
#endif
//#ifdef MSSM
// qqH_SM125->Add(ggH_SM125);
// VH_SM125->Add(qqH_SM125);
// Fakes->Add(VH_SM125);
//#endif
Fakes->Add(ttbar);
// EWK1 ->Add(Fakes);
EWK2 ->Add(Fakes );
//EWK3 ->Add(EWK2 );
//EWK ->Add(EWK3 );
EWK ->Add(EWK2 );
// ttbar->Add(EWK );
Ztt ->Add(EWK);
/*ggH_SM125->Add(qqH_SM125);
ggH_SM125->Add(VH_SM125);
ggH_SM125->Add(ZHToBB_SM125);
*/
// ggH_SM125->Add(WHToBB_SM125);
//if(log){
//#ifdef MSSM
// ggH->Add(bbH);
//#else
// qqH->Add(VH );
// ggH->Add(qqH);
//#endif
// }
//else{
//#ifdef MSSM
// bbH->Add(Ztt);
// ggH->Add(bbH);
//#else
// VH ->Add(Ztt);
// qqH->Add(VH );
// ggH->Add(qqH);
//#endif
// }
/*
Mass plot before and after fit
*/
TCanvas *canv = MakeCanvas("canv", "histograms", 600, 600);
canv->cd();
if(log){ canv->SetLogy(1); }
#if defined MSSM
if(!log){ data->GetXaxis()->SetRange(200, data->FindBin(UPPER_EDGE)); } else{ data->GetXaxis()->SetRange(200, data->FindBin(UPPER_EDGE)); };
#else
data->GetXaxis()->SetRange(200, data->FindBin(UPPER_EDGE));
#endif
data->SetNdivisions(505);
data->SetMinimum(min);
data->SetMaximum(max>0 ? max : std::max(std::max(maximum(data, log), maximum(Ztt, log)), maximum(ggHTohhTo2Tau2B, log)));
data->Draw("e");
TH1F* errorBand = (TH1F*)Ztt ->Clone();
errorBand ->SetMarkerSize(0);
errorBand ->SetFillColor(13);
errorBand ->SetFillStyle(3013);
errorBand ->SetLineWidth(1);
for(int idx=0; idx<errorBand->GetNbinsX(); ++idx){
if(errorBand->GetBinContent(idx)>0){
std::cout << "Uncertainties on summed background samples: " << errorBand->GetBinError(idx)/errorBand->GetBinContent(idx) << std::endl;
break;
}
}
if(log){
Ztt ->Draw("histsame");
// ttbar->Draw("histsame");
EWK ->Draw("histsame");
Fakes->Draw("histsame");
ttbar->Draw("histsame");
//#ifdef MSSM
// VH_SM125->Draw("histsame");
//#endif
$DRAW_ERROR
ggHTohhTo2Tau2B ->Draw("histsame");
/*ggH_SM125->SetLineColor(kRed);
ggH_SM125->Draw("histsame");
*/
}
else{
Ztt ->Draw("histsame");
// ttbar->Draw("histsame");
EWK ->Draw("histsame");
Fakes->Draw("histsame");
ttbar->Draw("histsame");
#ifdef MSSM
//VH_SM125->Draw("histsame");
#endif
$DRAW_ERROR
ggHTohhTo2Tau2B ->Draw("histsame");
/*
ggH_SM125->SetLineColor(kRed);
ggH_SM125->Draw("histsame");
*/
}
data->Draw("esame");
canv->RedrawAxis();
//CMSPrelim(dataset, "#tau_{h}#tau_{h}", 0.17, 0.835);
CMSPrelim(dataset, "", 0.16, 0.835);
#if defined MSSM
TPaveText* chan = new TPaveText(0.20, 0.74+0.061, 0.32, 0.74+0.161, "tlbrNDC");
if (strcmp(category_extra2,"")!=0) chan = new TPaveText(0.20, 0.69+0.061, 0.32, 0.74+0.161, "tlbrNDC");
#else
TPaveText* chan = new TPaveText(0.52, 0.35, 0.91, 0.55, "tlbrNDC");
#endif
chan->SetBorderSize( 0 );
chan->SetFillStyle( 0 );
chan->SetTextAlign( 12 );
chan->SetTextSize ( 0.05 );
chan->SetTextColor( 1 );
chan->SetTextFont ( 62 );
chan->AddText(category);
chan->AddText(category_extra);
#if defined MSSM
if (strcmp(category_extra2,"")!=0) chan->AddText(category_extra2);
#else
chan->AddText(category_extra2);
#endif
chan->Draw();
/*
TPaveText* cat = new TPaveText(0.20, 0.71+0.061, 0.32, 0.71+0.161, "NDC");
cat->SetBorderSize( 0 );
cat->SetFillStyle( 0 );
cat->SetTextAlign( 12 );
cat->SetTextSize ( 0.05 );
cat->SetTextColor( 1 );
cat->SetTextFont ( 62 );
cat->AddText(category_extra);
cat->Draw();
TPaveText* cat2 = new TPaveText(0.20, 0.66+0.061, 0.32, 0.66+0.161, "NDC");
cat2->SetBorderSize( 0 );
cat2->SetFillStyle( 0 );
cat2->SetTextAlign( 12 );
cat2->SetTextSize ( 0.05 );
cat2->SetTextColor( 1 );
cat2->SetTextFont ( 62 );
cat2->AddText(category_extra2);
cat2->Draw();
*/
#ifdef MSSM
TPaveText* massA = new TPaveText(0.53, 0.44+0.061, 0.95, 0.44+0.151, "NDC");
massA->SetBorderSize( 0 );
massA->SetFillStyle( 0 );
massA->SetTextAlign( 12 );
massA->SetTextSize ( 0.03 );
massA->SetTextColor( 1 );
massA->SetTextFont ( 62 );
massA->AddText("MSSM m^{h}_{mod+} scenario");
massA->AddText("m_{H}=$MH GeV, tan#beta=$TANB");
massA->Draw();
#endif
#ifdef MSSM
TLegend* leg = new TLegend(0.53, 0.60, 0.95, 0.90);
SetLegendStyle(leg);
leg->AddEntry(ggHTohhTo2Tau2B , TString::Format("%0.f #times H#rightarrowhh#rightarrow#tau#taubb", SIGNAL_SCALE) , "L" );
// leg->AddEntry(ggH_SM125, TString::Format("%0.f #times SM H (125 GeV) #rightarrow #tau#tau/bb", SIGNAL_SCALE), "L");
#endif
#ifdef ASIMOV
leg->AddEntry(data , "sum(bkg) + H(125)" , "LP");
#else
leg->AddEntry(data , "Observed" , "LP");
#endif
leg->AddEntry(Ztt , "Z#rightarrow#tau#tau" , "F" );
leg->AddEntry(EWK , "Electroweak" , "F" );
leg->AddEntry(Fakes, "QCD" , "F" );
leg->AddEntry(ttbar, "t#bar{t}" , "F" );
/*#ifdef MSSM
leg->AddEntry(VH_SM125, "SM H(125 GeV) #rightarrow #tau#tau", "F" );
#endif
*/
$ERROR_LEGEND
leg->Draw();
/*
Ratio Data over MC
*/
TCanvas *canv0 = MakeCanvas("canv0", "histograms", 600, 400);
canv0->SetGridx();
canv0->SetGridy();
canv0->cd();
TH1F* model = (TH1F*)Ztt ->Clone("model");
TH1F* test1 = (TH1F*)data->Clone("test1");
for(int ibin=0; ibin<test1->GetNbinsX(); ++ibin){
//the small value in case of 0 entries in the model is added to prevent the chis2 test from failing
model->SetBinContent(ibin+1, model->GetBinContent(ibin+1)>0 ? model->GetBinContent(ibin+1)*model->GetBinWidth(ibin+1) : 0.01);
model->SetBinError (ibin+1, CONSERVATIVE_CHI2 ? 0. : model->GetBinError (ibin+1)*model->GetBinWidth(ibin+1));
test1->SetBinContent(ibin+1, test1->GetBinContent(ibin+1)*test1->GetBinWidth(ibin+1));
test1->SetBinError (ibin+1, test1->GetBinError (ibin+1)*test1->GetBinWidth(ibin+1));
}
double chi2prob=0.;
double chi2ndof=0.;
double ksprob=0.;
double ksprobpe=0.;
if(!BLIND_DATA){
chi2prob = test1->Chi2Test (model,"PUW"); std::cout << "chi2prob:" << chi2prob << std::endl;
chi2ndof = test1->Chi2Test (model,"CHI2/NDFUW"); std::cout << "chi2ndf :" << chi2ndof << std::endl;
ksprob = test1->KolmogorovTest(model); std::cout << "ksprob :" << ksprob << std::endl;
ksprobpe = test1->KolmogorovTest(model,"DX"); std::cout << "ksprobpe:" << ksprobpe << std::endl;
}
std::vector<double> edges;
TH1F* zero = (TH1F*)ref->Clone("zero"); zero->Clear();
TH1F* rat1 = (TH1F*)data->Clone("rat1");
for(int ibin=0; ibin<rat1->GetNbinsX(); ++ibin){
rat1->SetBinContent(ibin+1, Ztt->GetBinContent(ibin+1)>0 ? data->GetBinContent(ibin+1)/Ztt->GetBinContent(ibin+1) : 0);
rat1->SetBinError (ibin+1, Ztt->GetBinContent(ibin+1)>0 ? data->GetBinError (ibin+1)/Ztt->GetBinContent(ibin+1) : 0);
zero->SetBinContent(ibin+1, 0.);
zero->SetBinError (ibin+1, Ztt->GetBinContent(ibin+1)>0 ? Ztt ->GetBinError (ibin+1)/Ztt->GetBinContent(ibin+1) : 0);
}
for(int ibin=0; ibin<rat1->GetNbinsX(); ++ibin){
if(rat1->GetBinContent(ibin+1)>0){
edges.push_back(TMath::Abs(rat1->GetBinContent(ibin+1)-1.)+TMath::Abs(rat1->GetBinError(ibin+1)));
// catch cases of 0 bins, which would lead to 0-alpha*0-1
rat1->SetBinContent(ibin+1, rat1->GetBinContent(ibin+1)-1.);
}
}
float range = 0.1;
std::sort(edges.begin(), edges.end());
if(edges.size()>1){
if (edges[edges.size()-2]>0.1) { range = 0.2; }
else if (edges[edges.size()-2]>0.2) { range = 0.5; }
else if (edges[edges.size()-2]>0.5) { range = 1.0; }
else if (edges[edges.size()-2]>1.0) { range = 1.5; }
else if (edges[edges.size()-2]>1.5) { range = 2.0; }
}
rat1->SetLineColor(kBlack);
rat1->SetFillColor(kGray );
rat1->SetMaximum(+range);
rat1->SetMinimum(-range);
rat1->GetYaxis()->CenterTitle();
rat1->GetYaxis()->SetTitle("#bf{Data/MC-1}");
rat1->GetXaxis()->SetTitle("#bf{m_{H} [GeV]}");
rat1->Draw();
zero->SetFillStyle( 3013);
zero->SetFillColor(kBlack);
zero->SetLineColor(kBlack);
zero->SetMarkerSize(0.1);
zero->Draw("e2histsame");
canv0->RedrawAxis();
TPaveText* stat1 = new TPaveText(0.20, 0.76+0.061, 0.32, 0.76+0.161, "NDC");
stat1->SetBorderSize( 0 );
stat1->SetFillStyle( 0 );
stat1->SetTextAlign( 12 );
stat1->SetTextSize ( 0.05 );
stat1->SetTextColor( 1 );
stat1->SetTextFont ( 62 );
if(!BLIND_DATA){
stat1->AddText(TString::Format("#chi^{2}/ndf=%.3f, P(#chi^{2})=%.3f", chi2ndof, chi2prob));
}
//stat1->AddText(TString::Format("#chi^{2}/ndf=%.3f, P(#chi^{2})=%.3f, P(KS)=%.3f", chi2ndof, chi2prob, ksprob));
stat1->Draw();
/*
Ratio After fit over Prefit
*/
TCanvas *canv1 = MakeCanvas("canv1", "histograms", 600, 400);
canv1->SetGridx();
canv1->SetGridy();
canv1->cd();
edges.clear();
TH1F* rat2 = (TH1F*) Ztt->Clone("rat2");
for(int ibin=0; ibin<rat2->GetNbinsX(); ++ibin){
rat2->SetBinContent(ibin+1, ref->GetBinContent(ibin+1)>0 ? Ztt->GetBinContent(ibin+1)/ref->GetBinContent(ibin+1) : 0);
rat2->SetBinError (ibin+1, ref->GetBinContent(ibin+1)>0 ? Ztt->GetBinError (ibin+1)/ref->GetBinContent(ibin+1) : 0);
}
for(int ibin=0; ibin<rat2->GetNbinsX(); ++ibin){
if(rat2->GetBinContent(ibin+1)>0){
edges.push_back(TMath::Abs(rat2->GetBinContent(ibin+1)-1.)+TMath::Abs(rat2->GetBinError(ibin+1)));
// catch cases of 0 bins, which would lead to 0-alpha*0-1
rat2 ->SetBinContent(ibin+1, rat2->GetBinContent(ibin+1)-1.);
}
}
range = 0.1;
std::sort(edges.begin(), edges.end());
if(edges.size()>1){
if (edges[edges.size()-2]>0.1) { range = 0.2; }
if (edges[edges.size()-2]>0.2) { range = 0.5; }
if (edges[edges.size()-2]>0.5) { range = 1.0; }
if (edges[edges.size()-2]>1.0) { range = 1.5; }
if (edges[edges.size()-2]>1.5) { range = 2.0; }
}
#if defined MSSM
if(!log){ rat2->GetXaxis()->SetRange(200, rat2->FindBin(UPPER_EDGE)); } else{ rat2->GetXaxis()->SetRange(200, rat2->FindBin(UPPER_EDGE)); };
#else
rat2->GetXaxis()->SetRange(200, rat2->FindBin(UPPER_EDGE));
#endif
rat2->SetNdivisions(505);
rat2->SetLineColor(kRed+ 3);
rat2->SetMarkerColor(kRed+3);
rat2->SetMarkerSize(1.1);
rat2->SetMaximum(+range);
rat2->SetMinimum(-range);
rat2->GetYaxis()->SetTitle("#bf{Postfit/Prefit-1}");
rat2->GetYaxis()->CenterTitle();
rat2->GetXaxis()->SetTitle("#bf{m_{H} [GeV]}");
rat2->Draw();
zero->SetFillStyle( 3013);
zero->SetFillColor(kBlack);
zero->SetLineColor(kBlack);
zero->Draw("e2histsame");
canv1->RedrawAxis();
/*
Relative shift per sample
*/
TCanvas *canv2 = MakeCanvas("canv2", "histograms", 600, 400);
canv2->SetGridx();
canv2->SetGridy();
canv2->cd();
InitHist (scales[0], "", "", TColor::GetColor(250,202,255), 1001);
InitHist (scales[1], "", "", TColor::GetColor(222,90,106), 1001);
InitHist (scales[2], "", "", TColor::GetColor(155,152,204), 1001);
InitHist (scales[3], "", "", TColor::GetColor(248,206,104), 1001);
InitHist(scales[4],"","",kGreen+2,1001);
/* InitHist(scales[5],"","",kGreen+2,1001);
InitHist(scales[6],"","",kGreen+2,1001);
InitHist(scales[7],"","",kGreen+2,1001);
*/
scales[0]->Draw();
scales[0]->GetXaxis()->SetBinLabel(1, "#bf{Fakes}");
scales[0]->GetXaxis()->SetBinLabel(2, "#bf{EWK}" );
scales[0]->GetXaxis()->SetBinLabel(3, "#bf{ttbar}");
scales[0]->GetXaxis()->SetBinLabel(4, "#bf{Ztt}" );
#ifdef MSSM
scales[0]->GetXaxis()->SetBinLabel(5, "#bf{ggHTohhTo2tau2B}" );
/*
scales[0]->GetXaxis()->SetBinLabel(6, "#bf{ggAToZhToLLTauTau}");
scales[0]->GetXaxis()->SetBinLabel(7, "#bf{ggAToZhToLLBB}");
scales[0]->GetXaxis()->SetBinLabel(8, "#bf{bbH}" );
*/
#endif
scales[0]->SetMaximum(+0.5);
scales[0]->SetMinimum(-0.5);
scales[0]->GetYaxis()->CenterTitle();
scales[0]->GetYaxis()->SetTitle("#bf{Postfit/Prefit-1}");
scales[1]->Draw("same");
scales[2]->Draw("same");
scales[3]->Draw("same");
scales[4]->Draw("same");
/* scales[5]->Draw("same");
scales[6]->Draw("same");
*/
TH1F* zero_samples = (TH1F*)scales[0]->Clone("zero_samples"); zero_samples->Clear();
zero_samples->SetBinContent(1,0.);
zero_samples->Draw("same");
canv2->RedrawAxis();
/*
prepare output
*/
bool isSevenTeV = std::string(inputfile).find("7TeV")!=std::string::npos;
canv ->Print(TString::Format("%s_%sfit_%s_%s.png" , directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv ->Print(TString::Format("%s_%sfit_%s_%s.pdf" , directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv ->Print(TString::Format("%s_%sfit_%s_%s.eps" , directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
if(!log || FULLPLOTS)
{
canv0->Print(TString::Format("%s_datamc_%sfit_%s_%s.png", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv0->Print(TString::Format("%s_datamc_%sfit_%s_%s.pdf", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv0->Print(TString::Format("%s_datamc_%sfit_%s_%s.eps", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
}
if((!log && scaled) || FULLPLOTS)
{
canv1->Print(TString::Format("%s_prefit_%sfit_%s_%s.png", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv1->Print(TString::Format("%s_prefit_%sfit_%s_%s.pdf", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv1->Print(TString::Format("%s_prefit_%sfit_%s_%s.eps", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv2->Print(TString::Format("%s_sample_%sfit_%s_%s.png", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv2->Print(TString::Format("%s_sample_%sfit_%s_%s.pdf", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
canv2->Print(TString::Format("%s_sample_%sfit_%s_%s.eps", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"));
}
TFile* output = new TFile(TString::Format("%s_%sfit_%s_%s.root", directory, scaled ? "post" : "pre", isSevenTeV ? "7TeV" : "8TeV", log ? "LOG" : "LIN"), "update");
output->cd();
data ->Write("data_obs");
Fakes->Write("Fakes" );
EWK ->Write("EWK" );
ttbar->Write("ttbar" );
Ztt ->Write("Ztt" );
#ifdef MSSM
ggHTohhTo2Tau2B ->Write("ggHTohhTo2Tau2B" );
/*
ggAToZhToLLTauTau->Write("ggAToZhToLLTauTau");
ggAToZhToLLBB->Write("ggAToZhToLLBB");
bbH ->Write("bbH" );
*/
#endif
output->Close();
delete errorBand;
delete model;
delete test1;
delete zero;
delete rat1;
delete rat2;
delete zero_samples;
delete ref;
}
void GammaFun() {
gSystem->Load("libMathCore");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
TF1 *f1a = new TF1("Gamma(x)","ROOT::Math::tgamma(x)",-2,5);
TF1 *f2a = new TF1("f2a","ROOT::Math::lgamma(x)",0,10);
TF2 *f3a = new TF2("Beta(x)","ROOT::Math::beta(x, y)",0,0.1, 0, 0.1);
TF1 *f4a = new TF1("erf(x)","ROOT::Math::erf(x)",0,5);
TF1 *f4b = new TF1("erfc(x)","ROOT::Math::erfc(x)",0,5);
TCanvas *c1 = new TCanvas("c1", "Gamma and related functions",1000,750);
c1->SetFillColor(17);
c1->Divide(2,2);
c1->cd(1);
gPad->SetGrid();
gPad->SetFrameFillColor(19);
//setting the title in a label style
TPaveLabel *p1 = new TPaveLabel(.1,.90 , (.1+.50),(.90+.10) ,"ROOT::Math::tgamma(x)", "NDC");
p1->SetFillColor(0);
p1->SetTextFont(22);
p1->SetTextColor(kBlack);
//setting graph
// draw axis first (use TH1 to draw the frame)
TH1F * h = new TH1F("htmp","",500,-2,5);
h->SetMinimum(-20);
h->SetMaximum(20);
h->GetXaxis()->SetTitleSize(0.06);
h->GetXaxis()->SetTitleOffset(.7);
h->GetXaxis()->SetTitle("x");
h->Draw();
// draw the functions 3 times in the separate ranges to avoid singularities
f1a->SetLineWidth(2);
f1a->SetLineColor(kBlue);
f1a->SetRange(-2,-1);
f1a->DrawCopy("same");
f1a->SetRange(-1,0);
f1a->DrawCopy("same");
f1a->SetRange(0,5);
f1a->DrawCopy("same");
p1->Draw();
c1->cd(2);
gPad->SetGrid();
gPad->SetFrameFillColor(19);
TPaveLabel *p2 = new TPaveLabel(.1,.90 , (.1+.50),(.90+.10) ,"ROOT::Math::lgamma(x)", "NDC");
p2->SetFillColor(0);
p2->SetTextFont(22);
p2->SetTextColor(kBlack);
f2a->SetLineColor(kBlue);
f2a->SetLineWidth(2);
f2a->GetXaxis()->SetTitle("x");
f2a->GetXaxis()->SetTitleSize(0.06);
f2a->GetXaxis()->SetTitleOffset(.7);
f2a->SetTitle("");
f2a->Draw();
p2->Draw();
c1->cd(3);
gPad->SetGrid();
gPad->SetFrameFillColor(19);
TPaveLabel *p3 = new TPaveLabel(.1,.90 , (.1+.50),(.90+.10) ,"ROOT::Math::beta(x, y)", "NDC");
p3->SetFillColor(0);
p3->SetTextFont(22);
p3->SetTextColor(kBlack);
f3a->SetLineWidth(2);
f3a->GetXaxis()->SetTitle("x");
f3a->GetXaxis()->SetTitleOffset(1.2);
f3a->GetXaxis()->SetTitleSize(0.06);
f3a->GetYaxis()->SetTitle("y");
f3a->GetYaxis()->SetTitleSize(0.06);
f3a->GetYaxis()->SetTitleOffset(1.5);
f3a->SetTitle("");
f3a->Draw("surf1");//option for a 3-dim plot
p3->Draw();
c1->cd(4);
gPad->SetGrid();
gPad->SetFrameFillColor(19);
TPaveLabel *p4 = new TPaveLabel(.1,.90 , (.1+.50),(.90+.10) ,"erf(x) and erfc(x)", "NDC");
p4->SetFillColor(0);
p4->SetTextFont(22);
p4->SetTextColor(kBlack);
f4a->SetTitle("erf(x) and erfc(x)");
f4a->SetLineWidth(2);
f4b->SetLineWidth(2);
f4a->SetLineColor(kBlue);
f4b->SetLineColor(kRed);
f4a->GetXaxis()->SetTitleSize(.06);
f4a->GetXaxis()->SetTitleOffset(.7);
f4a->GetXaxis()->SetTitle("x");
f4a->Draw();
f4b->Draw("same");//option for a multiple graph plot
f4a->SetTitle("");
p4->Draw();
c1->Update();
c1->cd();
}
void Be9_xs()
{
TCanvas * c5 = new TCanvas("heyo","heyo",800,600);
int k=181;
ifstream file1("../Programs/AngCorr/elas_xsection.plot"); //apparently you need to write out the whole thing for ROOT
ifstream file2("../Programs/AngCorr/inel_xsection.plot");
ifstream file3("../Programs/AngCorr/inel1_xsection.plot");
if(!file1.is_open())cout << "file1 not open" << endl;
if(!file2.is_open())cout << "file2 not open" << endl;
float * angle = new float[k];
float * elas = new float[k];
float * inel = new float[k];
float * inel1 = new float[k];
float elasTOT=0;
float SCALER = 384205.;
SCALER = 7261; //run 61 with Be
SCALER = 1.; // don't have FC data for first mult=1 runs
SCALER = 0.00009736; // taking into account target thickness and beam current should give results in millibarns
//*3 depending on definition of what's written down... also could vary beam current slightly to fit
//WTF their right on top of each other, am I drunk or is that physics? 9/21/2016
//also remember you made a scaler that multiplies
//find the calculation on your desk and comment that shit in here bro!
for(int i=0;i<k;i++)
{
file1 >> angle[i] >> elas[i];
file2 >> angle[i] >> inel[i];
file3 >> angle[i] >> inel1[k];
elas[i] = elas[i]+inel1[k];
elas[i] = elas[i];
inel[i] = inel[i];
//cout << elas[i] << endl;
//cout << inel[i] << endl;
}
TGraph * E = new TGraph(k,angle,elas);
TGraph * I = new TGraph(k,angle,inel);
TH1F * eff1D = (TH1F*)sim->Get("theta_reactionCM_R")->Clone("26");
TH1F * really = (TH1F*)sim->Get("theta_reactionCM_P")->Clone("me");
eff1D->Divide(really);
eff1D->Draw();
TH1F * Be1D = (TH1F*)data->Get("/corr/Li7/Li7_theta_reactCoM_9Be")->Clone("27");
Be1D->Divide(eff1D);
float binW;
binW = Be1D->GetXaxis()->GetBinWidth(23)*3.14159/180.;
for(int i=1;i<=125;i++)
{
float solidAng;
float thetaC;
thetaC = Be1D->GetBinCenter(i)*3.14159/180.;
solidAng = 2*3.14159*(cos(thetaC-binW/2.) - cos(thetaC+binW/2.));
float content = Be1D->GetBinContent(i);
content = content/solidAng;//sin(Be1D->GetBinCenter(i)*3.14159/180.); //-->I've had the sin(theta) in there all along --> this is only an approximation of the solid angle (works because of binning)
Be1D->SetBinContent(i,content*SCALER);
if(Be1D->GetBinCenter(i)>24)Be1D->SetBinContent(i,0.);
}
Be1D->SetMarkerStyle(20);
Be1D->Draw("P");
I->SetMarkerStyle(3);
I->Draw("same");
Be1D->GetXaxis()->SetRangeUser(0,25);
Be1D->GetXaxis()->SetTitle("#theta_{CM}");
//Be1D->GetYaxis()->SetTitle("#frac{d#sigma(mb)}{d#Omega}");
TLatex title;
title.DrawLatex(-5,20,"#frac{d#sigma(mb)}{d#Omega}");
Be1D->SetTitle("^{7}Li(7.2-) #sigma_{inel}");
c5->SetLogy();
TFile * sim2 = new TFile("~/elasSim/sim9Be/sim.root");
TCanvas * c6 = new TCanvas("r","r",800,600);
TH1F * effEl = (TH1F*)sim2->Get("theta_reactionCM_R")->Clone("65");
TH1F * really2 = (TH1F*)sim2->Get("theta_reactionCM_P")->Clone("56");
effEl->Divide(really2);
TH1F * BeElas = (TH1F*)data->Get("/corr/Li7/7Li_elas_9Be")->Clone("45");
BeElas->Divide(effEl);
binW = BeElas->GetXaxis()->GetBinWidth(23)*3.14159/180.;
for(int i=1;i<=125;i++)
{
float solidAng;
float thetaC;
thetaC = BeElas->GetBinCenter(i)*3.14159/180.;
solidAng = 2*3.14159*(cos(thetaC-binW/2.) - cos(thetaC+binW/2.));
float content = BeElas->GetBinContent(i);
//cout << content << endl;
content = content/solidAng;//sin(BeElas->GetBinCenter(i)*3.14159/180.);
BeElas->SetBinContent(i,content*SCALER);
if(BeElas->GetBinCenter(i)>7.5 && BeElas->GetBinCenter(i)<11)
BeElas->SetBinContent(i,0.);
if(BeElas->GetBinCenter(i) < 3.5)
BeElas->SetBinContent(i,0.);
}
BeElas->SetMarkerStyle(20);
BeElas->Draw("P");
BeElas->GetYaxis()->SetRangeUser(1.,100000);
I->SetLineColor(2);
E->SetMarkerStyle(3);
E->Draw("same");
I->Draw("same");
Be1D->SetMarkerColor(2);
Be1D->Draw("sameP");
BeElas->GetXaxis()->SetRangeUser(0,25);
BeElas->GetXaxis()->SetTitle("#theta_{CM}");
title.DrawLatex(-5,200,"#frac{d#sigma(mb)}{d#Omega}");
BeElas->SetTitle("^{7}Li(7.2-) #sigma_{el}");
c6->SetLogy();
TCanvas * c7 = new TCanvas("b","b",800,600);
TH1F * relative = (TH1F*)data->Get("/corr/Li7/Li7_theta_reactCoM_9Be")->Clone("73");
relative->Divide(eff1D);
relative->Divide(BeElas);
relative->SetMarkerStyle(20);
relative->Draw("P");
c7->SetLogy();
relative->GetXaxis()->SetRangeUser(0,25);
}
void InclusiveJets_2010(){
//general root settings
gROOT->SetStyle("Plain");
gStyle->SetOptStat(0); //get rid of statistics box
TH1::SetDefaultSumw2() ;
//Ranges for plots
Float_t xmin=17.5 , ymin = 0.00001, xmax = 1684.0, ymax = 10000000000000000.;
//for the linecolor and linestyle
Int_t icol[8]={8,kViolet,7,4,12,46,6,7};
Int_t isty[8]={1,1,1,1,1,1,1,1};
Int_t imark[5] = {21,22,25,26,3};
//get the root files
TFile *f[3]; // POWHEG + Pythia
TFile *g[1]; //Herwig
TFile *p[1]; //Pythia
f[0] = new TFile("out_aida_40times900kevents_errorcut50/Z2MPIHADONbornkt5ktsupp250_errorcut.root");
f[1] = new TFile("out_aida_40times900kevents_errorcut50/Z2MPIHADOFFbornkt5ktsupp250_errorcut.root");
f[2] = new TFile("out_aida_40times900kevents_errorcut50/NOTUNEbornkt5ktsupp250_errorcut.root");
g[0] = new TFile("out_aida_40times900kevents_errorcut50/HERWIGMPIHADONbornkt5ktsupp250_1.root"); // from POWHEG and HERWIG
//files from Paolo ---- only Pythia Z2
p[0] = new TFile("FromPaolo/2010PYTHIA.root");
//get the Tgraph and convert into histo
TH1F _histotmp[6][3];
TH1F _histotmp_pyth[6][1];
TH1F _histotmp_herw[6][1];
_histotmp_herw[0][0] = Gr2Hi((TGraph*) g[0]->Get("d01_x01_y01;1")); // |y| < 0.5
_histotmp_herw[1][0] = Gr2Hi((TGraph*) g[0]->Get("d02_x01_y01;1")); // 0.5 < |y| < 1.0
_histotmp_herw[2][0] = Gr2Hi((TGraph*) g[0]->Get("d03_x01_y01;1")); // 1.0 < |y| < 1.5
_histotmp_herw[3][0] = Gr2Hi((TGraph*) g[0]->Get("d04_x01_y01;1")); // 1.5 < |y| < 2.0
_histotmp_herw[4][0] = Gr2Hi((TGraph*) g[0]->Get("d05_x01_y01;1")); // 2.0 < |y| < 2.5
_histotmp_herw[5][0] = Gr2Hi((TGraph*) g[0]->Get("d06_x01_y01;1")); // 2.5 < |y| < 3.0
_histotmp_pyth[0][0] = Gr2Hi((TGraph*) p[0]->Get("d01_x01_y01;1")); // |y| < 0.5
_histotmp_pyth[1][0] = Gr2Hi((TGraph*) p[0]->Get("d02_x01_y01;1")); // 0.5 < |y| < 1.0
_histotmp_pyth[2][0] = Gr2Hi((TGraph*) p[0]->Get("d03_x01_y01;1")); // 1.0 < |y| < 1.5
_histotmp_pyth[3][0] = Gr2Hi((TGraph*) p[0]->Get("d04_x01_y01;1")); // 1.5 < |y| < 2.0
_histotmp_pyth[4][0] = Gr2Hi((TGraph*) p[0]->Get("d05_x01_y01;1")); // 2.0 < |y| < 2.5
_histotmp_pyth[5][0] = Gr2Hi((TGraph*) p[0]->Get("d06_x01_y01;1")); // 2.5 < |y| < 3.0
Int_t n = 3; //number of files
Int_t nh = 6; // number of histograms = number of y bins
for(const int ifile = 0; ifile < n; ifile++){
_histotmp[0][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d01_x01_y01;1")); // |y| <0.5
_histotmp[1][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d02_x01_y01;2")); // 0.5 < |y| < 1.0
_histotmp[2][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d03_x01_y01;2")); // 1.0 < |y| < 1.5
_histotmp[3][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d04_x01_y01;2")); // 1.5 < |y| < 2.0
_histotmp[4][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d05_x01_y01;1")); // 2.0 < |y| < 2.5
_histotmp[5][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d06_x01_y01;1")); // 2.5 < |y| < 3.0
/*
_histotmp[0][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d01_x01_y01;1")); // |y| <0.5
_histotmp[1][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d02_x01_y01;1")); // 0.5 < |y| < 1.0
_histotmp[2][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d03_x01_y01;1")); // 1.0 < |y| < 1.5
_histotmp[3][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d04_x01_y01;1")); // 1.5 < |y| < 2.0
_histotmp[4][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d05_x01_y01;1")); // 2.0 < |y| < 2.5
_histotmp[5][ifile] = Gr2Hi((TGraph*) f[ifile]->Get("d06_x01_y01;1")); // 2.5 < |y| < 3.0
*/
for(const int ihisto = 0; ihisto < nh; ihisto++){
_histotmp_herw[ihisto][0].SetName("");
_histotmp_pyth[ihisto][0].SetName("");
_histotmp[ihisto][ifile].SetName("");
}
}
//change the histo so that I can plot it and do the ratio
TH1F *_histo[6][3];
TH1F *_histo_herw[6][1];
TH1F *_histo_pyth[6][1];
for(const int ifile = 0; ifile < n; ifile++){
for(const int ihisto = 0; ihisto < nh; ihisto++){
TH1F *_histo[ihisto][ifile]= (TH1F*)_histotmp[ihisto][ifile].Clone("");
/*
_histo[ihisto][ifile]->Divide((TH1*)_histo[ihisto][1]); //histo 0 / hsito 1
TH1F *_ratio1[ihisto]= (TH1F*)_ratiotmp1[ihisto]->Clone("");
_ratiotmp2[ihisto]->Divide((TH1*)_histo[ihisto][2]); //histo 0 / hsito 2
TH1F *_ratio2[ihisto]= (TH1F*)_ratiotmp2[ihisto]->Clone("");
*/
_histo[ihisto][ifile]->SetLineWidth(2);
_histo[ihisto][ifile]->SetLineColor(icol[ihisto]);
_histo[ihisto][ifile]->SetMarkerStyle(2);
_histo[ihisto][ifile]->SetMarkerColor(icol[ihisto]);
TH1F *_histo_herw[ihisto][0] = (TH1F*) _histotmp_herw[ihisto][0].Clone("");
_histo_herw[ihisto][0]->SetLineWidth(2);
_histo_herw[ihisto][0]->SetLineColor(1);
_histo_herw[ihisto][0]->SetMarkerStyle(2);
_histo_herw[ihisto][0]->SetMarkerColor(1);
TH1F *_histo_pyth[ihisto][0] = (TH1F*) _histotmp_pyth[ihisto][0].Clone("");
_histo_pyth[ihisto][0]->SetLineWidth(2);
_histo_pyth[ihisto][0]->SetLineStyle(3);
_histo_pyth[ihisto][0]->SetLineColor(icol[ihisto]);
_histo_pyth[ihisto][0]->SetMarkerStyle(2);
_histo_pyth[ihisto][0]->SetMarkerColor(icol[ihisto]);
}
//scale the histos that it fits in one histogram
_histo[0][ifile]->Scale(10000);
_histo[1][ifile]->Scale(1000);
_histo[2][ifile]->Scale(100);
_histo[3][ifile]->Scale(10);
_histo[4][ifile]->Scale(1);
}
_histo_herw[0][0]->Scale(10000);
_histo_herw[1][0]->Scale(1000);
_histo_herw[2][0]->Scale(100);
_histo_herw[3][0]->Scale(10);
_histo_herw[4][0]->Scale(1);
_histo_pyth[0][0]->Scale(10000);
_histo_pyth[1][0]->Scale(1000);
_histo_pyth[2][0]->Scale(100);
_histo_pyth[3][0]->Scale(10);
_histo_pyth[4][0]->Scale(1);
//get the data 2010
//data = new TFile("out_aida/CMS_2011_S9086218.root");
//TH1F _histodata1 = Gr2Hi((TGraph*)data->Get("d01_x01_y01;1")); // |y| <0.5
//TH1F _histodata2 = Gr2Hi((TGraph*)data->Get("d02_x01_y01;1")); // 0.5 < |y| < 1.0
//TH1F _histodata3 = Gr2Hi((TGraph*)data->Get("d03_x01_y01;1")); // 1.0 < |y| < 1.5
//TH1F _histodata4 = Gr2Hi((TGraph*)data->Get("d04_x01_y01;1")); // 1.5 < |y| < 2.0
//TH1F _histodata5 = Gr2Hi((TGraph*)data->Get("d05_x01_y01;1")); // 2.0 < |y| < 2.5
//TH1F _histodata6 = Gr2Hi((TGraph*)data->Get("d06_x01_y01;1")); // 2.5 < |y| < 3.0
Double_t xAxis1[35] = {18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 592, 638, 686, 737, 846, 1684};
TH1F *d01_x01_y01_histo = new TH1F("d01_x01_y01_histo","d01_x01_y01_histo",34, xAxis1);
d01_x01_y01_histo->SetBinContent(1,1.97e+11);
d01_x01_y01_histo->SetBinContent(2,1.02e+11);
d01_x01_y01_histo->SetBinContent(3,5.14e+10);
d01_x01_y01_histo->SetBinContent(4,2.66e+10);
d01_x01_y01_histo->SetBinContent(5,1.38e+10);
d01_x01_y01_histo->SetBinContent(6,6.53e+09);
d01_x01_y01_histo->SetBinContent(7,3.35e+09);
d01_x01_y01_histo->SetBinContent(8,1.8e+09);
d01_x01_y01_histo->SetBinContent(9,9.2e+08);
d01_x01_y01_histo->SetBinContent(10,4.66e+08);
d01_x01_y01_histo->SetBinContent(11,2.37e+08);
d01_x01_y01_histo->SetBinContent(12,1.18e+08);
d01_x01_y01_histo->SetBinContent(13,5.43e+07);
d01_x01_y01_histo->SetBinContent(14,2.39e+07);
d01_x01_y01_histo->SetBinContent(15,1.08e+07);
d01_x01_y01_histo->SetBinContent(16,5240000);
d01_x01_y01_histo->SetBinContent(17,2610000);
d01_x01_y01_histo->SetBinContent(18,1360000);
d01_x01_y01_histo->SetBinContent(19,716000);
d01_x01_y01_histo->SetBinContent(20,381000);
d01_x01_y01_histo->SetBinContent(21,207000);
d01_x01_y01_histo->SetBinContent(22,117000);
d01_x01_y01_histo->SetBinContent(23,66800);
d01_x01_y01_histo->SetBinContent(24,37900);
d01_x01_y01_histo->SetBinContent(25,22000);
d01_x01_y01_histo->SetBinContent(26,12900);
d01_x01_y01_histo->SetBinContent(27,7540);
d01_x01_y01_histo->SetBinContent(28,4410);
d01_x01_y01_histo->SetBinContent(29,2770);
d01_x01_y01_histo->SetBinContent(30,1450);
d01_x01_y01_histo->SetBinContent(31,846);
d01_x01_y01_histo->SetBinContent(32,499);
d01_x01_y01_histo->SetBinContent(33,205);
d01_x01_y01_histo->SetBinContent(34,20.2);
d01_x01_y01_histo->SetBinError(1,2.547782e+10);
d01_x01_y01_histo->SetBinError(2,1.24325e+10);
d01_x01_y01_histo->SetBinError(3,6.016764e+09);
d01_x01_y01_histo->SetBinError(4,3.005329e+09);
d01_x01_y01_histo->SetBinError(5,1.530463e+09);
d01_x01_y01_histo->SetBinError(6,7.056178e+08);
d01_x01_y01_histo->SetBinError(7,3.617535e+08);
d01_x01_y01_histo->SetBinError(8,1.96072e+08);
d01_x01_y01_histo->SetBinError(9,9.919588e+07);
d01_x01_y01_histo->SetBinError(10,5.102008e+07);
d01_x01_y01_histo->SetBinError(11,2.639067e+07);
d01_x01_y01_histo->SetBinError(12,1.335539e+07);
d01_x01_y01_histo->SetBinError(13,6258885);
d01_x01_y01_histo->SetBinError(14,2836105);
d01_x01_y01_histo->SetBinError(15,1319900);
d01_x01_y01_histo->SetBinError(16,663920.6);
d01_x01_y01_histo->SetBinError(17,342646.4);
d01_x01_y01_histo->SetBinError(18,184642.2);
d01_x01_y01_histo->SetBinError(19,100845.5);
d01_x01_y01_histo->SetBinError(20,55764.14);
d01_x01_y01_histo->SetBinError(21,31565.29);
d01_x01_y01_histo->SetBinError(22,18614.95);
d01_x01_y01_histo->SetBinError(23,11075.51);
d01_x01_y01_histo->SetBinError(24,6579.499);
d01_x01_y01_histo->SetBinError(25,4015.708);
d01_x01_y01_histo->SetBinError(26,2479.083);
d01_x01_y01_histo->SetBinError(27,1527.99);
d01_x01_y01_histo->SetBinError(28,943.6936);
d01_x01_y01_histo->SetBinError(29,627.92);
d01_x01_y01_histo->SetBinError(30,350.3168);
d01_x01_y01_histo->SetBinError(31,219.1467);
d01_x01_y01_histo->SetBinError(32,139.7467);
d01_x01_y01_histo->SetBinError(33,62.02427);
d01_x01_y01_histo->SetBinError(34,7.233998);
d01_x01_y01_histo->SetEntries(34);
d01_x01_y01_histo->SetStats(0);
//d01_x01_y01_histo->Scale(10000);
d01_x01_y01_histo->SetLineWidth(2);
d01_x01_y01_histo->SetMarkerStyle(21);
d01_x01_y01_histo->SetMarkerSize(0.7);
d01_x01_y01_histo->SetFillColor(kGray);
Double_t xAxis2[34] = {18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 592, 638, 686, 790, 1684};
TH1F *d02_x01_y01_histo = new TH1F("d02_x01_y01_histo","d02_x01_y01_histo",33, xAxis2);
d02_x01_y01_histo->SetBinContent(1,1.89e+10);
d02_x01_y01_histo->SetBinContent(2,9.74e+09);
d02_x01_y01_histo->SetBinContent(3,4.99e+09);
d02_x01_y01_histo->SetBinContent(4,2.49e+09);
d02_x01_y01_histo->SetBinContent(5,1.31e+09);
d02_x01_y01_histo->SetBinContent(6,6.28e+08);
d02_x01_y01_histo->SetBinContent(7,3.23e+08);
d02_x01_y01_histo->SetBinContent(8,1.71e+08);
d02_x01_y01_histo->SetBinContent(9,8.84e+07);
d02_x01_y01_histo->SetBinContent(10,4.42e+07);
d02_x01_y01_histo->SetBinContent(11,2.22e+07);
d02_x01_y01_histo->SetBinContent(12,1.13e+07);
d02_x01_y01_histo->SetBinContent(13,5130000);
d02_x01_y01_histo->SetBinContent(14,2230000);
d02_x01_y01_histo->SetBinContent(15,1010000);
d02_x01_y01_histo->SetBinContent(16,482000);
d02_x01_y01_histo->SetBinContent(17,238000);
d02_x01_y01_histo->SetBinContent(18,122000);
d02_x01_y01_histo->SetBinContent(19,64200);
d02_x01_y01_histo->SetBinContent(20,34100);
d02_x01_y01_histo->SetBinContent(21,18700);
d02_x01_y01_histo->SetBinContent(22,10100);
d02_x01_y01_histo->SetBinContent(23,5720);
d02_x01_y01_histo->SetBinContent(24,3420);
d02_x01_y01_histo->SetBinContent(25,1890);
d02_x01_y01_histo->SetBinContent(26,1130);
d02_x01_y01_histo->SetBinContent(27,590);
d02_x01_y01_histo->SetBinContent(28,376);
d02_x01_y01_histo->SetBinContent(29,196);
d02_x01_y01_histo->SetBinContent(30,130);
d02_x01_y01_histo->SetBinContent(31,62.4);
d02_x01_y01_histo->SetBinContent(32,30.1);
d02_x01_y01_histo->SetBinContent(33,2.14);
d02_x01_y01_histo->SetBinError(1,2.47211e+09);
d02_x01_y01_histo->SetBinError(2,1.196891e+09);
d02_x01_y01_histo->SetBinError(3,5.890842e+08);
d02_x01_y01_histo->SetBinError(4,2.837945e+08);
d02_x01_y01_histo->SetBinError(5,1.465766e+08);
d02_x01_y01_histo->SetBinError(6,6.848512e+07);
d02_x01_y01_histo->SetBinError(7,3.536592e+07);
d02_x01_y01_histo->SetBinError(8,1.879562e+07);
d02_x01_y01_histo->SetBinError(9,9619569);
d02_x01_y01_histo->SetBinError(10,4860292);
d02_x01_y01_histo->SetBinError(11,2483524);
d02_x01_y01_histo->SetBinError(12,1278948);
d02_x01_y01_histo->SetBinError(13,596427.3);
d02_x01_y01_histo->SetBinError(14,266851);
d02_x01_y01_histo->SetBinError(15,124973);
d02_x01_y01_histo->SetBinError(16,61551.8);
d02_x01_y01_histo->SetBinError(17,31482.64);
d02_x01_y01_histo->SetBinError(18,16749.58);
d02_x01_y01_histo->SetBinError(19,9172.852);
d02_x01_y01_histo->SetBinError(20,5077.065);
d02_x01_y01_histo->SetBinError(21,2898.771);
d02_x01_y01_histo->SetBinError(22,1633.017);
d02_x01_y01_histo->SetBinError(23,965.8504);
d02_x01_y01_histo->SetBinError(24,606.0352);
d02_x01_y01_histo->SetBinError(25,351.8168);
d02_x01_y01_histo->SetBinError(26,221.2594);
d02_x01_y01_histo->SetBinError(27,122.0002);
d02_x01_y01_histo->SetBinError(28,82.34314);
d02_x01_y01_histo->SetBinError(29,45.69701);
d02_x01_y01_histo->SetBinError(30,32.27314);
d02_x01_y01_histo->SetBinError(31,16.82748);
d02_x01_y01_histo->SetBinError(32,8.687436);
d02_x01_y01_histo->SetBinError(33,0.745178);
d02_x01_y01_histo->SetEntries(33);
d02_x01_y01_histo->SetStats(0);
d02_x01_y01_histo->SetLineStyle(0);
d02_x01_y01_histo->SetLineWidth(2);
d02_x01_y01_histo->SetMarkerStyle(22);
d02_x01_y01_histo->SetMarkerSize(0.7);
d02_x01_y01_histo->SetFillColor(kGray);
Double_t xAxis3[33] = {18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 592, 638, 686, 1410};
TH1F *d03_x01_y01_histo = new TH1F("d03_x01_y01_histo","d03_x01_y01_histo",32, xAxis3);
d03_x01_y01_histo->SetBinContent(1,1.84e+09);
d03_x01_y01_histo->SetBinContent(2,9.24e+08);
d03_x01_y01_histo->SetBinContent(3,4.64e+08);
d03_x01_y01_histo->SetBinContent(4,2.34e+08);
d03_x01_y01_histo->SetBinContent(5,1.19e+08);
d03_x01_y01_histo->SetBinContent(6,5.88e+07);
d03_x01_y01_histo->SetBinContent(7,2.92e+07);
d03_x01_y01_histo->SetBinContent(8,1.57e+07);
d03_x01_y01_histo->SetBinContent(9,8090000);
d03_x01_y01_histo->SetBinContent(10,4090000);
d03_x01_y01_histo->SetBinContent(11,2050000);
d03_x01_y01_histo->SetBinContent(12,994000);
d03_x01_y01_histo->SetBinContent(13,452000);
d03_x01_y01_histo->SetBinContent(14,192000);
d03_x01_y01_histo->SetBinContent(15,86200);
d03_x01_y01_histo->SetBinContent(16,40500);
d03_x01_y01_histo->SetBinContent(17,20100);
d03_x01_y01_histo->SetBinContent(18,10000);
d03_x01_y01_histo->SetBinContent(19,5210);
d03_x01_y01_histo->SetBinContent(20,2720);
d03_x01_y01_histo->SetBinContent(21,1470);
d03_x01_y01_histo->SetBinContent(22,803);
d03_x01_y01_histo->SetBinContent(23,435);
d03_x01_y01_histo->SetBinContent(24,252);
d03_x01_y01_histo->SetBinContent(25,138);
d03_x01_y01_histo->SetBinContent(26,75.7);
d03_x01_y01_histo->SetBinContent(27,43.1);
d03_x01_y01_histo->SetBinContent(28,23.5);
d03_x01_y01_histo->SetBinContent(29,13.1);
d03_x01_y01_histo->SetBinContent(30,6.96);
d03_x01_y01_histo->SetBinContent(31,3.31);
d03_x01_y01_histo->SetBinContent(32,0.263);
d03_x01_y01_histo->SetBinError(1,3.267438e+08);
d03_x01_y01_histo->SetBinError(2,1.460402e+08);
d03_x01_y01_histo->SetBinError(3,6.756898e+07);
d03_x01_y01_histo->SetBinError(4,3.169167e+07);
d03_x01_y01_histo->SetBinError(5,1.534246e+07);
d03_x01_y01_histo->SetBinError(6,7206299);
d03_x01_y01_histo->SetBinError(7,3487964);
d03_x01_y01_histo->SetBinError(8,1852766);
d03_x01_y01_histo->SetBinError(9,937690);
d03_x01_y01_histo->SetBinError(10,474695.6);
d03_x01_y01_histo->SetBinError(11,239744.8);
d03_x01_y01_histo->SetBinError(12,117028.5);
d03_x01_y01_histo->SetBinError(13,54375.43);
d03_x01_y01_histo->SetBinError(14,23751.81);
d03_x01_y01_histo->SetBinError(15,11010.17);
d03_x01_y01_histo->SetBinError(16,5355.962);
d03_x01_y01_histo->SetBinError(17,2760.221);
d03_x01_y01_histo->SetBinError(18,1428.408);
d03_x01_y01_histo->SetBinError(19,775.8965);
d03_x01_y01_histo->SetBinError(20,422.7916);
d03_x01_y01_histo->SetBinError(21,238.9779);
d03_x01_y01_histo->SetBinError(22,137.1344);
d03_x01_y01_histo->SetBinError(23,78.10703);
d03_x01_y01_histo->SetBinError(24,47.62767);
d03_x01_y01_histo->SetBinError(25,27.54976);
d03_x01_y01_histo->SetBinError(26,16.01829);
d03_x01_y01_histo->SetBinError(27,9.722084);
d03_x01_y01_histo->SetBinError(28,5.653863);
d03_x01_y01_histo->SetBinError(29,3.37332);
d03_x01_y01_histo->SetBinError(30,1.948179);
d03_x01_y01_histo->SetBinError(31,1.026618);
d03_x01_y01_histo->SetBinError(32,0.09205037);
d03_x01_y01_histo->SetEntries(32);
d03_x01_y01_histo->SetStats(0);
d03_x01_y01_histo->SetLineStyle(0);
d03_x01_y01_histo->SetLineWidth(2);
d03_x01_y01_histo->SetMarkerStyle(25);
d03_x01_y01_histo->SetMarkerSize(0.7);
d03_x01_y01_histo->SetFillColor(kGray);
Double_t xAxis4[30] = {18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 468, 507, 548, 1032};
TH1F *d04_x01_y01_histo = new TH1F("d04_x01_y01_histo","d04_x01_y01_histo",29, xAxis4);
d04_x01_y01_histo->SetBinContent(1,1.44e+08);
d04_x01_y01_histo->SetBinContent(2,7.35e+07);
d04_x01_y01_histo->SetBinContent(3,3.8e+07);
d04_x01_y01_histo->SetBinContent(4,1.89e+07);
d04_x01_y01_histo->SetBinContent(5,9700000);
d04_x01_y01_histo->SetBinContent(6,4670000);
d04_x01_y01_histo->SetBinContent(7,2280000);
d04_x01_y01_histo->SetBinContent(8,1220000);
d04_x01_y01_histo->SetBinContent(9,629000);
d04_x01_y01_histo->SetBinContent(10,305000);
d04_x01_y01_histo->SetBinContent(11,151000);
d04_x01_y01_histo->SetBinContent(12,73400);
d04_x01_y01_histo->SetBinContent(13,32900);
d04_x01_y01_histo->SetBinContent(14,13900);
d04_x01_y01_histo->SetBinContent(15,6160);
d04_x01_y01_histo->SetBinContent(16,2860);
d04_x01_y01_histo->SetBinContent(17,1400);
d04_x01_y01_histo->SetBinContent(18,711);
d04_x01_y01_histo->SetBinContent(19,356);
d04_x01_y01_histo->SetBinContent(20,186);
d04_x01_y01_histo->SetBinContent(21,94.5);
d04_x01_y01_histo->SetBinContent(22,50.9);
d04_x01_y01_histo->SetBinContent(23,25.6);
d04_x01_y01_histo->SetBinContent(24,13.3);
d04_x01_y01_histo->SetBinContent(25,7);
d04_x01_y01_histo->SetBinContent(26,3.45);
d04_x01_y01_histo->SetBinContent(27,1.73);
d04_x01_y01_histo->SetBinContent(28,0.796);
d04_x01_y01_histo->SetBinContent(29,0.066);
d04_x01_y01_histo->SetBinError(1,3.637846e+07);
d04_x01_y01_histo->SetBinError(2,1.67099e+07);
d04_x01_y01_histo->SetBinError(3,7851714);
d04_x01_y01_histo->SetBinError(4,3568673);
d04_x01_y01_histo->SetBinError(5,1703586);
d04_x01_y01_histo->SetBinError(6,750723.4);
d04_x01_y01_histo->SetBinError(7,343490.2);
d04_x01_y01_histo->SetBinError(8,173448.2);
d04_x01_y01_histo->SetBinError(9,84294.21);
d04_x01_y01_histo->SetBinError(10,39082.27);
d04_x01_y01_histo->SetBinError(11,18979.5);
d04_x01_y01_histo->SetBinError(12,9119.636);
d04_x01_y01_histo->SetBinError(13,4140.893);
d04_x01_y01_histo->SetBinError(14,1810.098);
d04_x01_y01_histo->SetBinError(15,830.3785);
d04_x01_y01_histo->SetBinError(16,399.9657);
d04_x01_y01_histo->SetBinError(17,204.9602);
d04_x01_y01_histo->SetBinError(18,109.8075);
d04_x01_y01_histo->SetBinError(19,59.1287);
d04_x01_y01_histo->SetBinError(20,33.42105);
d04_x01_y01_histo->SetBinError(21,18.47046);
d04_x01_y01_histo->SetBinError(22,10.88183);
d04_x01_y01_histo->SetBinError(23,6.000047);
d04_x01_y01_histo->SetBinError(24,3.41489);
d04_x01_y01_histo->SetBinError(25,1.994767);
d04_x01_y01_histo->SetBinError(26,1.086542);
d04_x01_y01_histo->SetBinError(27,0.610451);
d04_x01_y01_histo->SetBinError(28,0.3130872);
d04_x01_y01_histo->SetBinError(29,0.03211142);
d04_x01_y01_histo->SetEntries(29);
d04_x01_y01_histo->SetStats(0);
d04_x01_y01_histo->SetLineStyle(0);
d04_x01_y01_histo->SetLineWidth(2);
d04_x01_y01_histo->SetMarkerStyle(26);
d04_x01_y01_histo->SetMarkerSize(0.7);
d04_x01_y01_histo->SetFillColor(kGray);
Double_t xAxis5[27] = {18, 21, 24, 28, 32, 37, 43, 49, 56, 64, 74, 84, 97, 114, 133, 153, 174, 196, 220, 245, 272, 300, 330, 362, 395, 430, 737};
TH1F *d05_x01_y01_histo = new TH1F("d05_x01_y01_histo","d05_x01_y01_histo",26, xAxis5);
d05_x01_y01_histo->SetBinContent(1,1.05e+07);
d05_x01_y01_histo->SetBinContent(2,5520000);
d05_x01_y01_histo->SetBinContent(3,2720000);
d05_x01_y01_histo->SetBinContent(4,1440000);
d05_x01_y01_histo->SetBinContent(5,738000);
d05_x01_y01_histo->SetBinContent(6,348000);
d05_x01_y01_histo->SetBinContent(7,168000);
d05_x01_y01_histo->SetBinContent(8,89800);
d05_x01_y01_histo->SetBinContent(9,43800);
d05_x01_y01_histo->SetBinContent(10,21800);
d05_x01_y01_histo->SetBinContent(11,10300);
d05_x01_y01_histo->SetBinContent(12,5030);
d05_x01_y01_histo->SetBinContent(13,2180);
d05_x01_y01_histo->SetBinContent(14,896);
d05_x01_y01_histo->SetBinContent(15,384);
d05_x01_y01_histo->SetBinContent(16,170);
d05_x01_y01_histo->SetBinContent(17,78.5);
d05_x01_y01_histo->SetBinContent(18,35.8);
d05_x01_y01_histo->SetBinContent(19,16.5);
d05_x01_y01_histo->SetBinContent(20,7.25);
d05_x01_y01_histo->SetBinContent(21,3.27);
d05_x01_y01_histo->SetBinContent(22,1.38);
d05_x01_y01_histo->SetBinContent(23,0.579);
d05_x01_y01_histo->SetBinContent(24,0.22);
d05_x01_y01_histo->SetBinContent(25,0.0808);
d05_x01_y01_histo->SetBinContent(26,0.00548);
d05_x01_y01_histo->SetBinError(1,1978672);
d05_x01_y01_histo->SetBinError(2,935188);
d05_x01_y01_histo->SetBinError(3,421635.1);
d05_x01_y01_histo->SetBinError(4,206618.7);
d05_x01_y01_histo->SetBinError(5,100557.7);
d05_x01_y01_histo->SetBinError(6,44514.08);
d05_x01_y01_histo->SetBinError(7,20942.13);
d05_x01_y01_histo->SetBinError(8,11048.87);
d05_x01_y01_histo->SetBinError(9,5260.105);
d05_x01_y01_histo->SetBinError(10,2634.555);
d05_x01_y01_histo->SetBinError(11,1278.591);
d05_x01_y01_histo->SetBinError(12,627.8137);
d05_x01_y01_histo->SetBinError(13,282.1732);
d05_x01_y01_histo->SetBinError(14,121.6466);
d05_x01_y01_histo->SetBinError(15,55.24865);
d05_x01_y01_histo->SetBinError(16,25.82574);
d05_x01_y01_histo->SetBinError(17,12.76174);
d05_x01_y01_histo->SetBinError(18,6.253124);
d05_x01_y01_histo->SetBinError(19,3.142438);
d05_x01_y01_histo->SetBinError(20,1.508923);
d05_x01_y01_histo->SetBinError(21,0.7510828);
d05_x01_y01_histo->SetBinError(22,0.3514478);
d05_x01_y01_histo->SetBinError(23,0.1646418);
d05_x01_y01_histo->SetBinError(24,0.071108);
d05_x01_y01_histo->SetBinError(25,0.02988224);
d05_x01_y01_histo->SetBinError(26,0.002567773);
d05_x01_y01_histo->SetEntries(26);
d05_x01_y01_histo->SetStats(0);
d05_x01_y01_histo->SetLineStyle(0);
d05_x01_y01_histo->SetLineWidth(2);
d05_x01_y01_histo->SetMarkerStyle(3);
d05_x01_y01_histo->SetMarkerSize(0.7);
d05_x01_y01_histo->SetFillColor(kGray);
// MC / Data
TH1F *_ratio[6][3];
TH1F *_ratio_pyth[6][1];
for(const int ifile = 0; ifile < n; ifile++){
for(const int ihisto = 0; ihisto < nh; ihisto++){
TH1F *_ratio[ihisto][ifile]= (TH1F*)_histo[ihisto][ifile]->Clone("");
TH1F *_ratio_pyth[ihisto][0]= (TH1F*)_histo_pyth[ihisto][0]->Clone("");
_ratio[ihisto][ifile]->SetLineWidth(1);
_ratio[ihisto][ifile]->SetLineColor(icol[ihisto]);
_ratio[ihisto][ifile]->SetMarkerStyle(imark[ihisto]);
_ratio[ihisto][ifile]->SetMarkerSize(0.5);
_ratio[ihisto][ifile]->SetMarkerColor(icol[ihisto]);
_ratio_pyth[ihisto][0]->SetLineWidth(1);
_ratio_pyth[ihisto][0]->SetLineColor(icol[ihisto]);
_ratio_pyth[ihisto][0]->SetLineStyle(3);
_ratio_pyth[ihisto][0]->SetMarkerStyle(imark[ihisto]);
_ratio_pyth[ihisto][0]->SetMarkerSize(0.5);
_ratio_pyth[ihisto][0]->SetMarkerColor(icol[ihisto]);
}
_ratio[0][ifile]->Divide((TH1*)d01_x01_y01_histo);
_ratio[1][ifile]->Divide((TH1*)d02_x01_y01_histo);
_ratio[2][ifile]->Divide((TH1*)d03_x01_y01_histo);
_ratio[3][ifile]->Divide((TH1*)d04_x01_y01_histo);
_ratio[4][ifile]->Divide((TH1*)d05_x01_y01_histo);
// TH1F *_ratio[ihisto]= (TH1F*)_ratiotmp1[ihisto]->Clone("");
// _ratiotmp2[ihisto]->Divide((TH1*)_histo[ihisto][2]); //histo 0 / hsito 2
// TH1F *_ratio2[ihisto]= (TH1F*)_ratiotmp2[ihisto]->Clone("");
}
_ratio_pyth[0][0]->Divide((TH1*)d01_x01_y01_histo);
_ratio_pyth[1][0]->Divide((TH1*)d02_x01_y01_histo);
_ratio_pyth[2][0]->Divide((TH1*)d03_x01_y01_histo);
_ratio_pyth[3][0]->Divide((TH1*)d04_x01_y01_histo);
_ratio_pyth[4][0]->Divide((TH1*)d05_x01_y01_histo);
// Data / MC
TH1F *_ratio_datamc[6][3];
TH1F *_ratio_pyth_datamc[6][1];
TH1F *_ratio_pyth_datamc[0][0]= (TH1F*)d01_x01_y01_histo->Clone("");
TH1F *_ratio_pyth_datamc[1][0]= (TH1F*)d02_x01_y01_histo->Clone("");
TH1F *_ratio_pyth_datamc[2][0]= (TH1F*)d03_x01_y01_histo->Clone("");
TH1F *_ratio_pyth_datamc[3][0]= (TH1F*)d04_x01_y01_histo->Clone("");
TH1F *_ratio_pyth_datamc[4][0]= (TH1F*)d05_x01_y01_histo->Clone("");
for(const int ifile = 0; ifile < n; ifile++){
TH1F *_ratio_datamc[0][ifile]= (TH1F*)d01_x01_y01_histo->Clone("");
TH1F *_ratio_datamc[1][ifile]= (TH1F*)d02_x01_y01_histo->Clone("");
TH1F *_ratio_datamc[2][ifile]= (TH1F*)d03_x01_y01_histo->Clone("");
TH1F *_ratio_datamc[3][ifile]= (TH1F*)d04_x01_y01_histo->Clone("");
TH1F *_ratio_datamc[4][ifile]= (TH1F*)d05_x01_y01_histo->Clone("");
for(const int ihisto = 0; ihisto < 5; ihisto++){
_ratio_datamc[ihisto][ifile]->Divide((TH1F*)_histo[ihisto][ifile]);
_ratio_datamc[ihisto][ifile]->SetLineWidth(1);
_ratio_datamc[ihisto][ifile]->SetLineColor(icol[ihisto]);
_ratio_datamc[ihisto][ifile]->SetMarkerStyle(imark[ihisto]);
_ratio_datamc[ihisto][ifile]->SetMarkerSize(0.5);
_ratio_datamc[ihisto][ifile]->SetMarkerColor(icol[ihisto]);
_ratio_datamc[ihisto][ifile]->SetFillColor(0);
_ratio_pyth_datamc[ihisto][0]->Divide((TH1F*)_histo_pyth[ihisto][0]);
_ratio_pyth_datamc[ihisto][0]->SetLineWidth(1);
_ratio_pyth_datamc[ihisto][0]->SetLineColor(icol[ihisto]);
_ratio_pyth_datamc[ihisto][0]->SetLineStyle(3);
_ratio_pyth_datamc[ihisto][0]->SetMarkerStyle(imark[ihisto]);
_ratio_pyth_datamc[ihisto][0]->SetMarkerSize(0.5);
_ratio_pyth_datamc[ihisto][0]->SetMarkerColor(icol[ihisto]);
_ratio_pyth_datamc[ihisto][0]->SetFillColor(0);
}
}
//create a canvas to draw TGraph and TH1F
TCanvas *c1 = new TCanvas("c1", "c1",369,0,680,550);
//pads (inclusive jet cross section, MC / data )
Pad_inclJet = new TPad("Pad_inclJet","xs",0.01,0.01,1.0,1.0);
Pad_inclJet->Draw();
// first pad style
Pad_inclJet->cd();
gStyle->SetOptStat(0);
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLogy();
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.03);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
//empty histo for border and style
TH1F *shape = new TH1F("","",1, xmin, xmax);
shape->SetMinimum(ymin);
shape->SetMaximum(ymax);
shape->GetXaxis()->SetTitle("Jet p_{T} (GeV/c)");
shape->GetXaxis()->SetLabelSize(0.03);
shape->GetXaxis()->SetTitleSize(0.03);
shape->GetXaxis()->SetNdivisions(508);
shape->GetXaxis()->SetTitleOffset(1.3);
shape->GetXaxis()->SetMoreLogLabels();
shape->GetYaxis()->SetTitle("#frac{d^{2}#sigma}{dp_{T}d|y|} (pb/GeV)");
shape->GetYaxis()->SetLabelSize(0.03);
shape->GetYaxis()->SetTitleSize(0.03);
shape->GetYaxis()->SetTitleOffset(1.6);
shape->Draw("e");
gPad->SetLogy();
gPad->SetLogx();
//data
d01_x01_y01_histo->Draw("E2same");
d02_x01_y01_histo->Draw("E2same");
d03_x01_y01_histo->Draw("E2same");
d04_x01_y01_histo->Draw("E2same");
d05_x01_y01_histo->Draw("E2same");
_histo[0][0]->Draw("E1same");
_histo[1][0]->Draw("E1same");
_histo[2][0]->Draw("E1same");
_histo[3][0]->Draw("E1same");
_histo[4][0]->Draw("E1same");
// _histo_herw[0][0]->Draw("E1same");
// _histo_herw[1][0]->Draw("E1same");
// _histo_herw[2][0]->Draw("E1same");
// _histo_herw[3][0]->Draw("E1same");
// _histo_herw[4][0]->Draw("E1same");
_histo_pyth[0][0]->Draw("E1same");
_histo_pyth[1][0]->Draw("E1same");
_histo_pyth[2][0]->Draw("E1same");
_histo_pyth[3][0]->Draw("E1same");
_histo_pyth[4][0]->Draw("E1same");
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.17,0.79,0.37,0.95,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.03);
text = pt->AddText("CMS 2010");
text = pt->AddText("#sqrt{s} = 7 TeV");
text = pt->AddText("anti-k_{T} R = 0.5");
pt->Draw();
TLegend *leg = new TLegend(0.68,0.70,0.83,0.928);
leg->SetBorderSize(1);
leg->SetTextSize(0.025);
leg->SetLineColor(0);
leg->SetLineStyle(1);
leg->SetLineWidth(1);
leg->SetFillColor(0);
leg->SetFillStyle(1001);
leg->AddEntry((TH1F*)_histo[0][0],"POWHEG & Pythia6 Z2","pfl");
leg->AddEntry((TH1F*)_histo_pyth[0][0]," Pythia6 Z2","pfl");
leg->AddEntry((TH1F*) d01_x01_y01_histo, "|y| <0.5 (x 10^{4})","pfl");
leg->AddEntry((TH1F*) d02_x01_y01_histo, "0.5 < |y| < 1.0 (x 10^{3})","pfl");
leg->AddEntry((TH1F*) d03_x01_y01_histo, "1.0 < |y| < 1.5 (x 10^{2})","pfl");
leg->AddEntry((TH1F*) d04_x01_y01_histo, "1.5 < |y| < 2.0 (x 10^{1})","pfl");
leg->AddEntry((TH1F*) d05_x01_y01_histo, "2.0 < |y| < 2.5 (x 10^{0})","pfl");
leg->Draw();
//write in png file
mysubpad1 =(TPad*)c1->GetPad(0);
mysubpad1->Print("pics/InclusiveJets_xs_10.png");
mysubpad1->Print("~/DESY/ANALYSIS_NOTES/JetCrossSectionsWithPOWHEG/notes/AN-12-236/trunk/plots/InclusiveJets_xs_10.pdf");
// MC / Data
//create a canvas to draw TGraph and TH1F
TCanvas *c2 = new TCanvas("c2", "c2",369,0,680,550);
Pad_MCdata1 = new TPad("Pad_MCdata1","ratio",0.01,0.78,1.0,0.95);
Pad_MCdata1->Draw();
Pad_MCdata2 = new TPad("Pad_MCdata2","ratio",0.01,0.60,1.0,0.76);
Pad_MCdata2->Draw();
Pad_MCdata3 = new TPad("Pad_MCdata3","ratio",0.01,0.42,1.0,0.58);
Pad_MCdata3->Draw();
Pad_MCdata4 = new TPad("Pad_MCdata4","ratio",0.01,0.24,1.0,0.40);
Pad_MCdata4->Draw();
Pad_MCdata5 = new TPad("Pad_MCdata5","ratio",0.01,0.06,1.0,0.22);
Pad_MCdata5->Draw();
Pad_MCdata1->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
//AK Empty histo for style and borders
TH1F *shape_MCdata = new TH1F("","",1, xmin, xmax);
shape_MCdata->SetMinimum(0.5);
shape_MCdata->SetMaximum(2.0);
shape_MCdata->GetXaxis()->SetTitle("Jet p_{T} (GeV/c)");
shape_MCdata->GetXaxis()->SetLabelSize(0.1);
shape_MCdata->GetXaxis()->SetTitleSize(0.1);
shape_MCdata->GetXaxis()->SetTitleOffset(0.6);
shape_MCdata->GetXaxis()->SetMoreLogLabels();
shape_MCdata->GetYaxis()->SetTitle("MC/Data");
shape_MCdata->GetYaxis()->SetLabelSize(0.1);
shape_MCdata->GetYaxis()->SetTitleSize(0.15);
shape_MCdata->GetYaxis()->SetTitleOffset(0.2);
shape_MCdata->GetYaxis()->SetNdivisions(108, kTRUE);
shape_MCdata->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.89,0.7,0.94,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("|y| <0.5");
pt->Draw();
_ratio[0][0]->Draw("EhistSame");
_ratio_pyth[0][0]->Draw("EhistSame");
Pad_MCdata2->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_MCdata->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("0.5 < |y| < 1.0");
pt->Draw();
_ratio[1][0]->Draw("EhistSame");
_ratio_pyth[1][0]->Draw("EhistSame");
Pad_MCdata3->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_MCdata->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("1.0 < |y| < 1.5");
pt->Draw();
_ratio[2][0]->Draw("EhistSame");
_ratio_pyth[2][0]->Draw("EhistSame");
Pad_MCdata4->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_MCdata->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("1.5 < |y| < 2.0");
pt->Draw();
_ratio[3][0]->Draw("EhistSame");
_ratio_pyth[3][0]->Draw("EhistSame");
Pad_MCdata5->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_MCdata->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("2.0 < |y| < 2.5");
pt->Draw();
_ratio[4][0]->Draw("EhistSame");
_ratio_pyth[4][0]->Draw("EhistSame");
//write in png file
mysubpad2 =(TPad*)c2->GetPad(0);
mysubpad2->Print("pics/InclusiveJets_mcdataRatio_10.png");
mysubpad2->Print("~/DESY/ANALYSIS_NOTES/JetCrossSectionsWithPOWHEG/notes/AN-12-236/trunk/plots/InclusiveJets_mcdataRatio_10.pdf");
// Data / MC
//create a canvas to draw TGraph and TH1F
TCanvas *c3 = new TCanvas("c3", "c3",369,0,680,550);
Pad_DataMC1 = new TPad("Pad_DataMC1","ratio",0.01,0.78,1.0,0.95);
Pad_DataMC1->Draw();
Pad_DataMC2 = new TPad("Pad_DataMC2","ratio",0.01,0.60,1.0,0.76);
Pad_DataMC2->Draw();
Pad_DataMC3 = new TPad("Pad_DataMC3","ratio",0.01,0.42,1.0,0.58);
Pad_DataMC3->Draw();
Pad_DataMC4 = new TPad("Pad_DataMC4","ratio",0.01,0.24,1.0,0.40);
Pad_DataMC4->Draw();
Pad_DataMC5 = new TPad("Pad_DataMC5","ratio",0.01,0.06,1.0,0.22);
Pad_DataMC5->Draw();
Pad_DataMC1->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
//AK Empty histo for style and borders
TH1F *shape_DataMC = new TH1F("","",1, xmin, xmax);
shape_DataMC->SetMinimum(0.5);
shape_DataMC->SetMaximum(2.0);
shape_DataMC->GetXaxis()->SetTitle("Jet p_{T} (GeV/c)");
shape_DataMC->GetXaxis()->SetLabelSize(0.1);
shape_DataMC->GetXaxis()->SetTitleSize(0.1);
shape_DataMC->GetXaxis()->SetTitleOffset(0.6);
shape_DataMC->GetXaxis()->SetMoreLogLabels();
shape_DataMC->GetYaxis()->SetTitle("Data/MC");
shape_DataMC->GetYaxis()->SetLabelSize(0.1);
shape_DataMC->GetYaxis()->SetTitleSize(0.15);
shape_DataMC->GetYaxis()->SetTitleOffset(0.2);
shape_DataMC->GetYaxis()->SetNdivisions(108, kTRUE);
shape_DataMC->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.89,0.7,0.94,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("|y| <0.5");
pt->Draw();
_ratio_datamc[0][0]->Draw("EhistSame");
_ratio_pyth_datamc[0][0]->Draw("EhistSame");
Pad_DataMC2->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_DataMC->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("0.5 < |y| < 1.0");
pt->Draw();
_ratio_datamc[1][0]->Draw("EhistSame");
_ratio_pyth_datamc[1][0]->Draw("EhistSame");
Pad_DataMC3->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_DataMC->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("1.0 < |y| < 1.5");
pt->Draw();
_ratio_datamc[2][0]->Draw("EhistSame");
_ratio_pyth_datamc[2][0]->Draw("EhistSame");
Pad_DataMC4->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_DataMC->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("1.5 < |y| < 2.0");
pt->Draw();
_ratio_datamc[3][0]->Draw("EhistSame");
_ratio_pyth_datamc[3][0]->Draw("EhistSame");
Pad_DataMC5->cd();
gPad->SetFillColor(0);
gPad->SetBorderMode(0);
gPad->SetBorderSize(2);
gPad->SetLeftMargin(0.14);
gPad->SetRightMargin(0.03);
gPad->SetTopMargin(0.0);
gPad->SetFrameBorderMode(0);
gPad->SetFrameBorderMode(0);
gPad->SetLogx();
shape_DataMC->Draw("e");
// horizontal line at y = 1
TLine *line = new TLine(xmin,1,xmax,1);
line->SetLineStyle(2);
line->Draw();
TPaveText *pt = new TPaveText(0.84,0.7,0.89,0.8,"brNDC");
pt->SetBorderSize(0);
pt->SetFillColor(0);
pt->SetTextAlign(12);
pt->SetTextSize(0.15);
text = pt->AddText("2.0 < |y| < 2.5");
pt->Draw();
_ratio_datamc[4][0]->Draw("EhistSame");
_ratio_pyth_datamc[4][0]->Draw("EhistSame");
//write in png file
mysubpad3 =(TPad*)c3->GetPad(0);
mysubpad3->Print("pics/InclusiveJets_DataMCRatio_10.png");
mysubpad3->Print("~/DESY/ANALYSIS_NOTES/JetCrossSectionsWithPOWHEG/notes/AN-12-236/trunk/plots/InclusiveJets_DataMCRatio_10.pdf");
c1->Print("InclusiveJets_2010.pdf(");
c2->Print("InclusiveJets_2010.pdf");
c3->Print("InclusiveJets_2010.pdf)");
}
void
postfit(const char* inputfile, const char* analysis = "SM", const char* dataset = "2011+2012", const char* extra="", const char* extra2="", float min=0.1, float max=-1., bool log=true)
{
// defining the common canvas, axes pad styles
SetStyle(); gStyle->SetLineStyleString(11,"20 10");
// switch for MSSM/SM
bool MSSM = std::string(analysis) == std::string("MSSM");
// determine label
if (std::string(dataset) == std::string("2011" )){ dataset = "CMS Preliminary, H#rightarrow#tau#tau, 4.9 fb^{-1} at 7 TeV"; }
if (std::string(dataset) == std::string("2012" )){
if (std::string(extra) == std::string("#mu#mu") ) dataset = "MS Preliminary, H#rightarrow#tau#tau, 18.7 fb^{-1} at 8 TeV";
else dataset = "MS Preliminary, H#rightarrow#tau#tau, 19.4 fb^{-1} at 8 TeV";
}
if (std::string(dataset) == std::string("2011+2012")){
if (std::string(extra) == std::string("#mu#mu") ) dataset = "CMS Preliminary, H#rightarrow#tau#tau, 4.9 fb^{-1} at 7 TeV, 18.6 fb^{-1} at 8 TeV";
else dataset = "CMS Preliminary, H#rightarrow#tau#tau, 4.9 fb^{-1} at 7 TeV, 19.4 fb^{-1} at 8 TeV";
if (MSSM) dataset = "CMS Preliminary, H#rightarrow#tau#tau, 4.9 fb^{-1} at 7 TeV, 12.1 fb^{-1} at 8 TeV";
}
// determine category tag
const char* category_extra = "";
if(std::string(extra2) == std::string("0jet_low" )){ category_extra = "0 jet, low p_{T}"; }
if(std::string(extra2) == std::string("0jet_high" )){ category_extra = "0 jet, high p_{T}"; }
if(std::string(extra2) == std::string("0jet" )){ category_extra = "0 jet"; }
if(std::string(extra2) == std::string("boost_low" )){ category_extra = "1 jet, low p_{T}"; }
if(std::string(extra2) == std::string("boost_high")){ category_extra = "1 jet, high p_{T}"; }
if(std::string(extra2) == std::string("boost" )){ category_extra = "1 jet"; }
if(std::string(extra2) == std::string("vbf" )){ category_extra = "2 jet (VBF)"; }
if(std::string(extra2) == std::string("nobtag" )){ category_extra = "No B-Tag"; }
if(std::string(extra2) == std::string("btag" )){ category_extra = "B-Tag"; }
TFile* input = new TFile(inputfile);
TH1F* Fakes = refill((TH1F*)input->Get("Fakes" ), "Fakes/QCD");
TH1F* EWK = refill((TH1F*)input->Get("EWK" ), "EWK" );
TH1F* ttbar = refill((TH1F*)input->Get("ttbar" ), "ttbar" );
TH1F* Ztt = refill((TH1F*)input->Get("Ztt" ), "Ztt" );
TH1F* Zmm = refill((TH1F*)input->Get("Zmm" ), "Zmm" );
TH1F* ggH = refill((TH1F*)input->Get("ggH" ), "ggH" );
TH1F* data = (TH1F*)input->Get("data_obs");
// determine channel for etau Z->ee (EWK) will be shown separated from the rest (EWK1)
TH1F* EWK1 = 0;
if(std::string(extra) == std::string("e#tau_{h}")){
EWK1 = refill((TH1F*)input->Get("EWK1"), "EWK1");
}
TH1F* errorBand = (TH1F*)input->Get("errorBand");
/*
mass plot before and after fit
*/
TCanvas *canv = MakeCanvas("canv", "histograms", 600, 600);
if(log) canv->SetLogy(1);
// reduce the axis range if necessary for linea plots and SM
if(MSSM && !log){ data->GetXaxis()->SetRange(0, data->FindBin(350)); } else{ data->GetXaxis()->SetRange(0, data->FindBin(490)); };
if(!MSSM){ data->GetXaxis()->SetRange(0, data->FindBin(350)); }
data->SetNdivisions(505);
data->SetMinimum(min);
if(Zmm){
data->SetMaximum(max>0 ? max : std::max(maximum(data, log), maximum(EWK, log)));
}
else{
data->SetMaximum(max>0 ? max : std::max(maximum(data, log), maximum(Ztt, log)));
}
data->Draw("e");
if(log){
if(Zmm){
EWK ->Draw("same");
ttbar->Draw("same");
Fakes->Draw("same");
Zmm ->Draw("same");
Ztt ->Draw("same");
}
else{
Ztt ->Draw("same");
ttbar->Draw("same");
EWK ->Draw("same");
if(EWK1){
EWK1->Draw("same");
}
if(Fakes){ Fakes->Draw("same"); }
}
if(ggH) ggH ->Draw("histsame");
}
else{
if(ggH) ggH ->Draw("histsame");
if(Zmm){
EWK->Draw("same");
Fakes->Draw("same");
ttbar->Draw("same");
Zmm->Draw("same");
Ztt->Draw("same");
}
else{
Ztt ->Draw("same");
ttbar->Draw("same");
EWK ->Draw("same");
if(EWK1){
EWK1->Draw("same");
}
if(Fakes){ Fakes->Draw("same"); }
}
}
if(errorBand){
errorBand->Draw("e2same");
}
data->Draw("esame");
canv->RedrawAxis();
//CMSPrelim(dataset, extra, 0.17, 0.835);
CMSPrelim(dataset, "", 0.18, 0.835);
TPaveText* chan = new TPaveText(0.20, 0.74+0.061, 0.32, 0.74+0.161, "NDC");
chan->SetBorderSize( 0 );
chan->SetFillStyle( 0 );
chan->SetTextAlign( 12 );
chan->SetTextSize ( 0.05 );
chan->SetTextColor( 1 );
chan->SetTextFont ( 62 );
chan->AddText(extra);
chan->Draw();
TPaveText* cat = new TPaveText(0.20, 0.68+0.061, 0.32, 0.68+0.161, "NDC");
cat->SetBorderSize( 0 );
cat->SetFillStyle( 0 );
cat->SetTextAlign( 12 );
cat->SetTextSize ( 0.05 );
cat->SetTextColor( 1 );
cat->SetTextFont ( 62 );
cat->AddText(category_extra);
cat->Draw();
if(MSSM){
TPaveText* massA = new TPaveText(0.75, 0.48+0.061, 0.85, 0.48+0.161, "NDC");
massA->SetBorderSize( 0 );
massA->SetFillStyle( 0 );
massA->SetTextAlign( 12 );
massA->SetTextSize ( 0.03 );
massA->SetTextColor( 1 );
massA->SetTextFont ( 62 );
massA->AddText("m_{A}=160GeV");
massA->Draw();
TPaveText* tanb = new TPaveText(0.75, 0.44+0.061, 0.85, 0.44+0.161, "NDC");
tanb->SetBorderSize( 0 );
tanb->SetFillStyle( 0 );
tanb->SetTextAlign( 12 );
tanb->SetTextSize ( 0.03 );
tanb->SetTextColor( 1 );
tanb->SetTextFont ( 62 );
tanb->AddText("tan#beta=20");
tanb->Draw();
TPaveText* scen = new TPaveText(0.75, 0.40+0.061, 0.85, 0.40+0.161, "NDC");
scen->SetBorderSize( 0 );
scen->SetFillStyle( 0 );
scen->SetTextAlign( 12 );
scen->SetTextSize ( 0.03 );
scen->SetTextColor( 1 );
scen->SetTextFont ( 62 );
scen->AddText("mhmax");
scen->Draw();
}
float lower_bound = EWK1 ? 0.60 : 0.65;
TLegend* leg = new TLegend(MSSM ? 0.45 : 0.50, lower_bound, 0.93, 0.90);
SetLegendStyle(leg);
if(MSSM){
leg->AddEntry(ggH , "#phi#rightarrow#tau#tau", "L" );
}
else{
if(ggH){
if(SIGNAL_SCALE!=1){
leg->AddEntry(ggH , TString::Format("%.0f#timesH(125 GeV)#rightarrow#tau#tau", SIGNAL_SCALE) , "L" );
}
else{
leg->AddEntry(ggH , "H(125 GeV)#rightarrow#tau#tau" , "L" );
}
}
}
leg->AddEntry(data , "observed" , "LP");
leg->AddEntry(Ztt , "Z#rightarrow#tau#tau" , "F" );
if(Zmm){ leg->AddEntry(Zmm , "Z#rightarrow#mu#mu" , "F" ); }
if(EWK1){
leg->AddEntry(EWK , "Z#rightarrow ee" , "F" );
leg->AddEntry(EWK1 , "electroweak" , "F" );
}
else{
leg->AddEntry(EWK , "electroweak" , "F" );
}
leg->AddEntry(ttbar, "t#bar{t}" , "F" );
if(Fakes){ leg->AddEntry(Fakes, "QCD" , "F" ); }
if(errorBand){
leg->AddEntry(errorBand, "bkg. uncertainty" , "F" );
}
leg->Draw();
/*
TPaveText* ext0 = new TPaveText(0.50, lower_bound-0.08, 0.70, lower_bound-0.03, "NDC");
ext0->SetBorderSize( 0 );
ext0->SetFillStyle( 0 );
ext0->SetTextAlign( 12 );
ext0->SetTextSize ( 0.035 );
ext0->SetTextColor( 1 );
ext0->SetTextFont ( 42 );
ext0->AddText("CMS Preliminary");
ext0->Draw();
TPaveText* ext1 = new TPaveText(0.50, lower_bound-0.13, 0.70, lower_bound-0.08, "NDC");
ext1->SetBorderSize( 0 );
ext1->SetFillStyle( 0 );
ext1->SetTextAlign( 12 );
ext1->SetTextSize ( 0.035 );
ext1->SetTextColor( 1 );
ext1->SetTextFont ( 42 );
ext1->AddText("#sqrt{s} = 7 TeV, L = 4.9 fb^{-1}");
ext1->Draw();
TPaveText* ext2 = new TPaveText(0.50, lower_bound-0.18, 0.70, lower_bound-0.13, "NDC");
ext2->SetBorderSize( 0 );
ext2->SetFillStyle( 0 );
ext2->SetTextAlign( 12 );
ext2->SetTextSize ( 0.035 );
ext2->SetTextColor( 1 );
ext2->SetTextFont ( 42 );
ext2->AddText("#sqrt{s} = 8 TeV, L = 19.4 fb^{-1}");
ext2->Draw();
TPaveText* ext3 = new TPaveText(0.50, lower_bound-0.23, 0.70, lower_bound-0.18, "NDC");
ext3->SetBorderSize( 0 );
ext3->SetFillStyle( 0 );
ext3->SetTextAlign( 12 );
ext3->SetTextSize ( 0.035 );
ext3->SetTextColor( 1 );
ext3->SetTextFont ( 42 );
ext3->AddText("H#rightarrow#tau#tau");
ext3->Draw();
*/
/*
prepare output
*/
std::string newName = std::string(inputfile).substr(0, std::string(inputfile).find(".root"));
//canv->Print(TString::Format("%s%s.png", newName.c_str(), log ? "_LOG" : ""));
//canv->Print(TString::Format("%s%s.pdf", newName.c_str(), log ? "_LOG" : ""));
//canv->Print(TString::Format("%s%s.eps", newName.c_str(), log ? "_LOG" : ""));
canv->Print(TString::Format("%s.png", newName.c_str()));
canv->Print(TString::Format("%s.pdf", newName.c_str()));
canv->Print(TString::Format("%s.eps", newName.c_str()));
}
void SPEFit(char * fname, int run, int LED_amp, double cutmax = 250.0)
{
//set plotting styles
gStyle->SetCanvasColor(0);
gStyle->SetPadColor(0);
gStyle->SetCanvasBorderMode(0);
gStyle->SetFrameBorderMode(0);
gStyle->SetStatColor(0);
gStyle->SetPadTickX(1);
gStyle->SetPadTickY(1);
//set file names
stringstream out_fname;
stringstream out_fname1;
out_fname<<"SPEconstants_Run_"<<run<<".txt";
out_fname1<<"SPEspec_Run_"<<run<<".txt";
ofstream constants_file(out_fname.str().c_str(),ios_base::trunc);
ofstream constants_file1(out_fname1.str().c_str(),ios_base::trunc);
constants_file<<"Run "<<run<<endl;
constants_file<<"type SPE"<<endl;
constants_file<<"LED_amplitude "<<LED_amp<<endl<<endl;
//constants_file<<endl<<"LED_amplitude HV Spigot Channel Ped_mean Ped_mean_err Ped_RMS Ped_RMS_err SPEPeak_RMS SPEPeak_RMS_err Gain Gain_err Normalized_Chi2 MeanPE_fit MeanPE_fit_err MeanPE_estimate PE5flag"<<endl;
constants_file<<endl<<"LED_amplitude HV Spigot Channel Ped_mean Ped_mean_err Ped_RMS Ped_RMS_err SPEPeak_RMS SPEPeak_RMS_err Gain Gain_err Normalized_Chi2 MeanPE_fit MeanPE_fit_err MeanPE_estimate PE5flag Polya_shape Polya_shape_err Polya_mode"<<endl;
out_fname.str("");
out_fname<<"SPEdistributions_Run_"<<run<<".txt";
out_fname.str("");
out_fname<<"SPEextra_Run_"<<run<<".txt";
//ofstream extra_file(out_fname.str().c_str(),ios_base::trunc);
//extra_file<<endl<<"LED_amplitude HV Spigot Channel PedSubtracted_mean Gain Gain_err Normalized_Chi2 MeanPE_fit MeanPE_fit_err MeanPE_estimate PE5flag"<<endl;
double scale = 1.0;
scale = 2.6; //Need to scale up HF charge
double fC2electrons = 6240.; //convert fC to #electrons
char spename[128], pedname[128], spehistname[128];
bool drawflag;
TFile *tf = new TFile(fname);
TCanvas *c1 = new TCanvas("c1","c1",1200,700);
c1->Divide(6,4);
c1->SetBorderMode(0);
c1->SetBorderSize(0);
TCanvas *c2 = new TCanvas("c2","c2",1200,700);
c2->Divide(6,4);
c2->SetBorderMode(0);
c2->SetBorderSize(0);
TCanvas *c3 = new TCanvas("c3","c3",1200,700);
c3->Divide(6,4);
c3->SetBorderMode(0);
c3->SetBorderSize(0);
const int NnewBins = 106;
double binsX[NnewBins] = {0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,68,70,72,74,76,78,80,82,84,86,88,90,92,94,96,98,100,102,104,106,108,110,112,114,116,118,120,122,124,126,128,130,132,134,136,138,140,142,144,146,148,150,152,154,156,158,160,162,164,166,168,170,180,190,200,210,220,230,240,250,266,282,298,316,336,356,378,404,430,456,482,500};
TH1F* hspe = new TH1F("hspe","hspe",NnewBins-1,binsX);
int Npoints;
TH2D *tmp;
for(Npoints=0;Npoints<10;Npoints++){
sprintf(spename,"spetest/spigot_%d/bb_%d/LED_HVset_%d_sp_%d_BB_%d",0,1,Npoints,0,1);
tmp=(TH2D *)tf->Get(spename);
if(tmp==0) break;
}
TH2D *LED[3][3][20];
TH2D *PED[3][3];
for(int iSpig = 0; iSpig < 3; iSpig++)for(int bb = 1; bb < 4; bb++){
for(int ii=0; ii<Npoints; ii++){
sprintf(spename,"spetest/spigot_%d/bb_%d/LED_HVset_%d_sp_%d_BB_%d",iSpig,bb,ii,iSpig,bb);
LED[iSpig][bb-1][ii]=(TH2D *)tf->Get(spename);
}
sprintf(spename,"spetest/spigot_%d/bb_%d/PED_sp_%d_BB_%d",iSpig,bb,iSpig,bb);
PED[iSpig][bb-1]=(TH2D *)tf->Get(spename);
}
for(int ii=0; ii<Npoints; ii++) {
drawflag=false;
int HV=0;
for (int iSpig = 0; iSpig < 3; iSpig++) {
for(int i = 0; i < 24; i++) {
int bb=BB_MAP[i];
int pmt=PMT_MAP[i];
sprintf(spehistname,"led %d %d %d",ii,iSpig,i);
TH1D *hspe_temp = (TH1D *)LED[iSpig][bb-1][ii]->ProjectionX(spehistname,pmt,pmt,"")->Clone();
sprintf(spehistname,"ped %d %d %d",ii,iSpig,i);
TH1D *hped = (TH1D *)PED[iSpig][bb-1]->ProjectionX(spehistname,pmt,pmt,"")->Clone();
sscanf(&hspe_temp->GetTitle()[7],"%d",&HV);
hspe->Reset();
sprintf (spehistname, "SumLED%d_sp_%d_ch_%d", HV, iSpig, i);
hspe->SetTitle(spehistname);
//combine bins of original SPE histogram
for(int ib=1; ib<=hspe_temp->GetNbinsX(); ib++) {
double bin_center = hspe_temp->GetBinCenter(ib);
if(bin_center>hspe->GetXaxis()->GetXmax()) continue;
int newbin = hspe->FindBin(bin_center);
double new_content = hspe->GetBinContent(newbin) + hspe_temp->GetBinContent(ib);
double new_error = sqrt(pow(hspe->GetBinError(newbin),2)+pow(hspe_temp->GetBinError(ib),2));
hspe->SetBinContent(newbin,new_content);
hspe->SetBinError(newbin,new_error);
}
TH1F* hspe_unscaled = (TH1F*)hspe->Clone("hspe_unscaled");
//renormalize bins of new SPE histogram
for(int ib=1; ib<=hspe->GetNbinsX(); ib++) {
double new_content = hspe->GetBinContent(ib)/hspe->GetXaxis()->GetBinWidth(ib)*hspe_temp->GetXaxis()->GetBinWidth(1);
double new_error = hspe->GetBinError(ib)/hspe->GetXaxis()->GetBinWidth(ib)*hspe_temp->GetXaxis()->GetBinWidth(1);
hspe->SetBinContent(ib,new_content);
hspe->SetBinError(ib,new_error);
}
if(hspe_temp->Integral()==0) continue;
else drawflag=true;
Nev = hspe_temp->Integral()*hspe_temp->GetXaxis()->GetBinWidth(1);
TF1 *fped = new TF1("fped","gaus",0, 80);
hped->Fit(fped,"NQR");
double pploc = fped->GetParameter(1), ppwidth = fped->GetParameter(2);
//cout<<"Ped only: ped mean "<<fped->GetParameter(1)<<", ped width "<<fped->GetParameter(2)<<" normalization "<<fped->GetParameter(0)<<endl;
hspe->Fit(fped, "NQ", "", pploc - 3*ppwidth, pploc + ppwidth);
//cout<<"SPE distribution: ped mean "<<fped->GetParameter(1)<<", ped width "<<fped->GetParameter(2)<<" normalization "<<fped->GetParameter(0)<<endl;
//estimate SPE peak location
int max_SPE_bin, maxbin, Nbins;
double max_SPE_height=0, minheight, max_SPE_location;
bool minflag = false;
maxbin=hspe->FindBin(fped->GetParameter(1)); //location of pedestal peak
minheight=hspe->GetBinContent(maxbin); //initialize minheight
/*
int maxped_bin = hspe->GetMaximumBin();
int maxped_binheight = hspe->GetBinContent(maxped_bin);
minheight = maxped_binheight;
*/
Nbins = hspe->GetNbinsX();
for(int j=/*maxped_bin*/maxbin+1; j<Nbins-1; j++) { //start from pedestal peak and loop through bins
if(hspe->GetBinContent(j) > minheight && !minflag) minflag=true; //only look for SPE peak when minflag=true
if(hspe->GetBinContent(j) < minheight ) minheight = hspe->GetBinContent(j);
if(minflag && hspe->GetBinContent(j) > max_SPE_height){
max_SPE_bin = j;
max_SPE_location = hspe->GetBinCenter(max_SPE_bin);
max_SPE_height = hspe->GetBinContent(j);
}
} //start from pedestal peak and loop through bins
//find minimum bin between pedestal and SPE peaks
hspe->GetXaxis()->SetRange(maxbin,max_SPE_bin);
int minbin = hspe->GetMinimumBin();
double minbin_location = hspe->GetBinCenter(minbin);
hspe->GetXaxis()->SetRange(1,Nbins);
TF1 *fit = new TF1("fit", FitFun, 0, 500, 5);
double mu = - log(fped->Integral(0,100)/Nev);
if(mu<0) mu=0.01;
double gain_est = max_SPE_location-1.0*fped->GetParameter(1);
if(max_SPE_bin > (minbin+1)) fit->SetParameters(mu, 20, 1, gain_est, 3.0);
else fit->SetParameters(mu, 20, 1, 2.1*fped->GetParameter(2), 3.0); //case of no clear minimum; start looking for SPE peak at 2sigma away from pedestal peak
fit->SetParLimits(0, 0, 10);
fit->FixParameter(1, fped->GetParameter(1));
fit->FixParameter(2, fped->GetParameter(2));
fit->SetParLimits(3, fped->GetParameter(2)*2, 350);
fit->SetParLimits(4, 1.01, 100.);
double maxfitrange = 500.;
double minfitrange = 0.;
hspe->Fit(fit, "MNQL", "", minfitrange, maxfitrange);
double rms_estimate = fit->GetParameter(3)/sqrt(fit->GetParameter(4));
maxfitrange = fped->GetParameter(1)+4*fit->GetParameter(3)+rms_estimate;
// cout<<"estimate of gain "<<gain_est<<", fit "<<fit->GetParameter(3)<<endl;
// cout<<"Shape Parameter "<<fit->GetParameter(4)<<endl;
// cout<<"SPE width "<<rms_estimate<<endl;
// cout<<"maxfitrange "<<maxfitrange<<endl;
if(500<maxfitrange) maxfitrange = 500;
hspe->Fit(fit, "MNQL", "", minfitrange, maxfitrange);
//calculate NDOF of fit excluding bins with 0 entries
int myNDOF=-3; //three free parameters
for(int j=hspe->FindBin(minfitrange); j<=hspe->FindBin(maxfitrange); j++) { //loop through fitted spe bins
if(hspe->GetBinContent(j)) myNDOF++;
} //loop through fitted spe bins
// cout<<"estimate of gain "<<gain_est<<", fit "<<fit->GetParameter(3)<<endl;
// cout<<"Shape Parameter "<<fit->GetParameter(4)<<endl;
// double SPE_rms = fit->GetParameter(3)/sqrt(fit->GetParameter(4));
// cout<<"SPE width "<<SPE_rms<<endl;
//cout<<"SPE width "<<fit->GetParameter(4)<<endl;
//cout<<"Fit normalization constant: estimate "<<mu<<" fit "<<fit->GetParameter(0)<<endl;
//cout<<spename<<endl;
//calculate means and integrals of the fit and data
double fint, fint_error, hint, favg, havg;
int temp_lowbin, temp_highbin;
temp_lowbin = hspe->FindBin(minfitrange);
temp_highbin = hspe->FindBin(maxfitrange);
hspe_unscaled->GetXaxis()->SetRangeUser(minfitrange, maxfitrange);
havg = hspe_unscaled->GetMean();
hint = hspe->Integral(temp_lowbin,temp_highbin,"width");
double min_frange = hspe->GetBinLowEdge(temp_lowbin);
favg = fit->Mean(min_frange, maxfitrange);
fint = fit->Integral(min_frange, maxfitrange);
//fint_error = fit->IntegralError(min_frange, maxfitrange);
double PE5int = 0; //integral of events with >=5 PE
double PE5loc = fped->GetParameter(1)+ 5*fit->GetParameter(3);
if(PE5loc>500) PE5int = 0;
else {
int PE5bin = hspe_temp->FindBin(PE5loc);
temp_highbin = hspe_temp->FindBin(maxfitrange)-1;
PE5int = hspe_temp->Integral(PE5bin,temp_highbin,"width");
}
int PE5flag = 0;
if(PE5int/hint>0.05) PE5flag = 1; //set flag if more than 5% of events in the fit correspond to >=5PE
//=========================================
for(int i1=1;i1<hspe->GetNbinsX();i1++){
constants_file1<<HV<<"\t"<<iSpig<<"\t"<<i<<"\t"<<2.6*hspe->GetBinCenter(i1)<<"\t"<<hspe->GetBinContent(i1)<<"\t"<<fit->Eval(hspe->GetBinCenter(i1))<<"\n";
}
//=========================================
//output calibrations constants
//constants_file<<endl<<"LED_amplitude HV Spigot Channel Ped_mean Ped_mean_err Ped_RMS Ped_RMS_err SPEPeak_RMS SPEPeak_RMS_err Gain Gain_err Normalized_Chi2 MeanPE_fit MeanPE_fit_err MeanPE_estimate PE5flag Polya_shape Polya_shape_err Polya_mode"<<endl;
constants_file<<LED_amp<<" "<<HV<<" "<<iSpig<<" "<<(bb-1)*8+pmt<<" "<<scale*fped->GetParameter(1)<<" "<<scale*fped->GetParError(1)<<" "<<scale*fped->GetParameter(2)<<" "<<scale*fped->GetParError(2)<<" "<<scale*fit->GetParameter(3)/sqrt(fit->GetParameter(4))<<" "<<0<<" "<<scale*fit->GetParameter(3)*fC2electrons<<" "<<scale*fit->GetParError(3)*fC2electrons<<" "<<fit->GetChisquare()/myNDOF/*fit->GetNDF()*/<<" "<<fit->GetParameter(0)<<" "<<fit->GetParError(0)<<" "<<mu<<" "<<PE5flag<<" "<<fit->GetParameter(4)<<" "<<fit->GetParError(4)<<" "<<scale*(fit->GetParameter(4)-1.0)/fit->GetParameter(4)*fit->GetParameter(3)*fC2electrons<<endl;
// cout<<LED_amp<<" "<<HV<<" "<<iSpig<<" "<<QIECh[i]<<" "<<scale*fped->GetParameter(1)<<" "<<scale*fped->GetParError(1)<<" "<<scale*fped->GetParameter(2)<<" "<<scale*fped->GetParError(2)<<" "<<scale*fit->GetParameter(4)<<" "<<scale*fit->GetParError(4)<<" "<<scale*fit->GetParameter(3)*fC2electrons<<" "<<scale*fit->GetParError(3)*fC2electrons<<" "<<fit->GetChisquare()/fit->GetNDF()<<" "<<fit->GetChisquare()<<" "<<fit->GetNDF()<<" "<<myNDOF<<" "<<fit->GetParameter(0)<<" "<<fit->GetParError(0)<<" "<<mu<<endl;
//extra_file<<endl<<"LED_amplitude HV Spigot Channel SignalAvg_inFitRange FitAvg_inFitRange SignalInt_inFitRange FitInt_inFitRange PEge5Int Gain(fC) Gain_err Normalized_Chi2 MeanPE_fit MeanPE_fit_err MeanPE_estimate PE5flag"<<endl;
//extra_file<<LED_amp<<" "<<HV<<" "<<iSpig<<" "<<QIECh[i]<<" "<<scale*havg<<" "<<scale*favg<<" "<<hint<<" "<<fint<<" "<<PE5int<<" "<<scale*fit->GetParameter(3)<<" "<<scale*fit->GetParError(3)<<" "<<fit->GetChisquare()/myNDOF<<" "<<fit->GetParameter(0)<<" "<<fit->GetParError(0)<<" "<<mu<<" "<<PE5flag<<endl;
//cout<<"# Spigot Channel Ped_mean Ped_RMS SPE_PeakRMS Gain Normalized_Chi2 Avg_PE"<<endl;
//cout<<iSpig<<" "<<i<<" "<<scale*fped->GetParameter(1)<<" "<<scale*fped->GetParameter(2)<<" "<<scale*fit->GetParameter(4)<<" "<<scale*fit->GetParameter(3)*fC2electrons<<" "<<fit->GetChisquare()/fit->GetNDF()<<" "<<fit->GetParameter(0)<<endl<<endl;
if(iSpig==0) c1->cd(i+1);
else if(iSpig==1) c2->cd(i+1);
else if(iSpig==2) c3->cd(i+1);
gPad->SetBorderMode(0);
gPad->SetBorderSize(0);
gPad->SetRightMargin(0.01);
gPad->SetBottomMargin(0.1);
gPad->SetLogy(true);
hspe->GetXaxis()->SetRangeUser(0, /*300*/508);
hspe->SetLineColor(kBlue);
hspe->DrawClone("hist");
fit->SetLineWidth(2);
fit->Draw("same");
}
}
if(drawflag) { //draw plots of fit if data for the HV is present
stringstream plot_name;
//plot_name<<"Plots/SPEFits_Spigot0_Run_"<<run<<"_HV"<<HV<<".pdf";
plot_name<<"Plots/SPEFits_Spigot0_Run_"<<run<<"_HV"<<HV<<"_config"<<ii<<".pdf";
c1->SaveAs(plot_name.str().c_str());
plot_name.str( std::string() );
//plot_name<<"Plots/SPEFits_Spigot1_Run_"<<run<<"_HV"<<HV<<".pdf";
plot_name<<"Plots/SPEFits_Spigot1_Run_"<<run<<"_HV"<<HV<<"_config"<<ii<<".pdf";
c2->SaveAs(plot_name.str().c_str());
plot_name.str( std::string() );
//plot_name<<"Plots/SPEFits_Spigot2_Run_"<<run<<"_HV"<<HV<<".pdf";
plot_name<<"Plots/SPEFits_Spigot2_Run_"<<run<<"_HV"<<HV<<"_config"<<ii<<".pdf";
c3->SaveAs(plot_name.str().c_str());
}
} //HV loop
constants_file.close();
constants_file1.close();
}
void plotGlauberCenVars(Float_t eff=1., const Char_t* file="ZNA_ntuple_195483.root")
{
TFile *f = TFile::Open(file);
TNtuple* ntuple = dynamic_cast<TNtuple*> (f->Get("gnt"));
TGraphErrors *gNpart=new TGraphErrors(0);
gNpart->SetName("gNpart");
TGraphErrors *gNcoll=new TGraphErrors(0);
gNcoll->SetName("gNcoll");
TGraphErrors *gtAA=new TGraphErrors(0);
gtAA->SetName("gtAA");
/*TFile *ffd = TFile::Open("hZNAcalibRUN195483.root");
TH1F * hd = dynamic_cast<TH1F*> (ffd->Get(("hZNA")));
hd->Sumw2();*/
//
TFile *ff = TFile::Open("ZNA_fit_195483.root");
TH1F * hd = dynamic_cast<TH1F*> (ff->Get(("hZNA")));
hd->Sumw2();
TH1F * hg = dynamic_cast<TH1F*> (ff->Get(("hZNA_GLAU")));
hd->SetMarkerColor(kBlue+3);
hd->SetMarkerSize(1.);
hd->SetLineColor(kBlue+3);
hd->SetLineWidth(2);
hd->SetMarkerStyle(20);
hd->SetLineWidth(2);
// hg->Scale(1./hd->GetEntries());
// hd->Scale(1./hd->GetEntries());
hd->SetMinimum(1.e-01);
hd->SetXTitle("E_{ZNA} (TeV)");
hg->SetLineColor(kPink-2);
hg->SetLineWidth(2);
TH1F* hist = (TH1F*) hg->Clone("hist");
//---------------------------------------------------
getCentrality(hist, eff);
//---------------------------------------------------
TCanvas* canvas = new TCanvas("canvas","Multiplicity",200,200,600,600);
canvas->cd();
canvas->SetLogy();
hd->Draw("pe");
//hd->GetXaxis()->SetRangeUser(0.,130.);
hd->SetMinimum(0.01);
hg->Draw("SAME");
float low = 0;
float high = hist->GetNbinsX();
for(int i=0; i<binUp->GetSize(); i++){
low = binUp->At(i);
hist->GetXaxis()->SetRange(low+1, high);
hist->SetFillColor((i%2==0)?0:kAzure+6);
hist->SetLineColor((i%2==0)?0:kAzure+6);
printf(" bin %d low %f high %f\n",i,low,high);
hist->DrawCopy("h same");
high=low;
}
hd->Draw("esame");
hg->Draw("SAME");
canvas->Print("plotGlauber.gif");
TCanvas* canvas2 = new TCanvas("canvas2","NPart");
canvas2->cd();
canvas2->SetLogy();
TH1F *hist2 = new TH1F("hist2","N_{part}",35,0.,35);
ntuple->Project("hist2","fNpart");
//hist2->SetStats(0);
hist2->SetTitle("");
hist2->GetXaxis()->SetTitle("NPart");
hist2->GetXaxis()->SetTitleSize(0.05);
hist2->GetXaxis()->SetLabelSize(0.04);
hist2->GetXaxis()->SetTitleOffset(1.2);
hist2->GetYaxis()->SetTitle("");
hist2->GetYaxis()->SetTitleOffset(1.3);
hist2->GetYaxis()->SetTitleSize(0.05);
hist2->GetYaxis()->SetLabelSize(0.04);
hist2->DrawCopy();
float lownp=0;
float highnp=5000;
TH1F *htemp10[nbins];
printf("\n ***** N_part \n");
for(int i=0; i<Multbin->GetSize(); i++){
lownp = Multbin->At(i);
char cuts[120];
char histname[20];
sprintf(cuts,"Etot>%f && Etot<=%f",lownp,highnp);
sprintf(histname,"htemp10[%i]",i);
htemp10[i] = new TH1F(histname,"N_{part}",35,0.,35);
//printf(" cut: %s\n", cuts);
ntuple->Project(histname,"fNpart",cuts);
htemp10[i]->SetLineColor(i+1);
htemp10[i]->Draw("same");
cout << i << " | " << lownp << " | " << highnp << " | " << setprecision(3) <<
htemp10[i]->GetMean() << " | " << htemp10[i]->GetRMS() << " | " << endl;
gNpart->SetPoint(i,Float_t(i),htemp10[i]->GetMean());
gNpart->SetPointError(i,0,htemp10[i]->GetRMS());
highnp = lownp;
}
cout << endl;
TCanvas* canvas3 = new TCanvas("canvas3","NColl");
canvas3->SetLogy();
TH1F *hist3 = new TH1F("hist3","N_{coll}",35,0.,35);
ntuple->Project("hist3","fNcoll");
//hist3->SetStats(0);
hist3->SetTitle("");
hist3->GetXaxis()->SetTitle("NColl");
hist3->GetXaxis()->SetTitleSize(0.05);
hist3->GetXaxis()->SetLabelSize(0.04);
hist3->GetXaxis()->SetTitleOffset(1.2);
hist3->GetXaxis()->SetTitle("");
hist3->GetXaxis()->SetTitleOffset(1.3);
hist3->GetXaxis()->SetTitleSize(0.05);
hist3->GetXaxis()->SetLabelSize(0.04);
hist3->DrawCopy();
float lownc = 0;
float highnc = 5000;
TH1F *htemp11[nbins];
printf("\n ***** N_coll \n");
for(int i=0; i<Multbin->GetSize(); i++){
lownc = Multbin->At(i);
char cuts[120];
char histname[20];
sprintf(cuts,"Etot>%f && Etot<=%f",lownc,highnc);
sprintf(histname,"htemp11[%i]",i);
htemp11[i] = new TH1F(histname,"N_{coll}",35,0.,35.);
ntuple->Project(histname,"fNcoll",cuts);
htemp11[i]->SetLineColor(i+1);
htemp11[i]->Draw("same");
cout << setprecision(3) << htemp11[i]->GetMean() << " | " << htemp11[i]->GetRMS() << " | " << endl;
gNcoll->SetPoint(i,Float_t(i),htemp11[i]->GetMean());
gNcoll->SetPointError(i,0,htemp11[i]->GetRMS());
highnc = lownc;
}
cout << endl;
TCanvas* canvas4 = new TCanvas("canvas4","Impact Parameter");
canvas4->cd();
TH1F *hist4 = new TH1F("hist4","b",100,0.,16.);
ntuple->Project("hist4","fB");
//hist4->SetStats(0);
hist4->SetTitle("");
hist4->GetXaxis()->SetTitle("b");
hist4->GetXaxis()->SetTitleSize(0.05);
hist4->GetXaxis()->SetLabelSize(0.04);
hist4->GetXaxis()->SetTitleOffset(1.2);
hist4->GetYaxis()->SetTitle("");
hist4->GetYaxis()->SetTitleOffset(1.3);
hist4->GetYaxis()->SetTitleSize(0.05);
hist4->GetYaxis()->SetLabelSize(0.04);
hist4->DrawCopy();
float lowb = 0;
float highb = 5000;
TH1F *htemp12[nbins];
printf("\n ***** b \n");
for(int i=0; i<Multbin->GetSize(); i++){
lowb = Multbin->At(i);
char cuts[100];
char histname[25];
sprintf(cuts,"Etot>%f && Etot<=%f",lowb,highb);
sprintf(histname,"htemp12[%i]",i);
htemp12[i] = new TH1F(histname,"b",100,0.,16.);
//printf(" cut: %s\n", cuts);
ntuple->Project(histname,"fB",cuts);
htemp12[i]->SetLineColor(i+1);
htemp12[i]->DrawCopy("same");
cout << i << " | " << lowb << " | " << highb << " | " << setprecision(3) << htemp12[i]->GetMean() << " | " << htemp12[i]->GetRMS() << " | " << endl;
highb = lowb;
}
TCanvas* canvas5 = new TCanvas("canvas5","Taa");
canvas5->SetLogy();
TH1F *hist5 = new TH1F("hist5","T_{AA}",100,0.,0.5);
ntuple->Project("hist5","fTaa");
//hist5->SetStats(0);
hist5->SetTitle("");
hist5->GetXaxis()->SetTitle("tAA");
hist5->GetXaxis()->SetTitleSize(0.05);
hist5->GetXaxis()->SetLabelSize(0.04);
hist5->GetXaxis()->SetTitleOffset(1.2);
hist5->GetYaxis()->SetTitle("");
hist5->GetYaxis()->SetTitleOffset(1.3);
hist5->GetYaxis()->SetTitleSize(0.05);
hist5->GetYaxis()->SetLabelSize(0.04);
hist5->DrawCopy();
float lowtaa = 0;
float hightaa = 5000;
TH1F *htemp13[nbins];
printf("\n ***** T_AA \n");
for (int i=0; i<Multbin->GetSize(); i++){
lowtaa = Multbin->At(i);
char cuts[100];
char histname[100];
sprintf(cuts,"Etot>%f && Etot<%f",lowtaa,hightaa);
//printf(" cut: %s\n", cuts);
sprintf(histname,"htemp13[%i]",i);
htemp13[i] = new TH1F(histname,"b",100,0.,0.5);
ntuple->Project(histname,"fTaa",cuts);
htemp13[i]->SetLineColor(i+1);
htemp13[i]->DrawCopy("same");
cout << setprecision(3) << htemp13[i]->GetMean() << " | " << htemp13[i]->GetRMS() << " | " << endl;
gtAA->SetPoint(i,Float_t(i),htemp13[i]->GetMean());
gtAA->SetPointError(i,0,htemp13[i]->GetRMS());
hightaa = lowtaa;
}
/*TCanvas* canvas6 = new TCanvas("canvas6","Mean Mult");
canvas6->SetLogy();
//ntuple->Draw("ntot/Npart/23.867>>hmultperanc");
ntuple->Draw("Etot/(0.801*Npart+(1-0.801)*Ncoll)/3.9>>hmultperanc");
TH1F* hmultperanc = (TH1F*)gPad->GetPrimitive("hmultperanc");
TH1F* hist6 = (TH1F*)hmultperanc->Clone();
hist6->SetStats(0);
hist6->SetTitle("");
hist6->GetXaxis()->SetTitle("Mult/NPart");
hist6->GetXaxis()->SetTitleSize(0.05);
hist6->GetXaxis()->SetLabelSize(0.04);
hist6->GetXaxis()->SetTitleOffset(1.);
hist6->GetYaxis()->SetTitle("");
hist6->GetYaxis()->SetTitleOffset(1.);
hist6->GetYaxis()->SetTitleSize(0.05);
hist6->GetYaxis()->SetLabelSize(0.04);
hist6->DrawCopy();
low=0;
high=50000;
for (int i=0; i<Multbin->GetSize(); i++)
{
low=Multbin->At(i);
char cuts[100];
char histtitle1[100];
char histtitle[100];
sprintf(cuts,"Etot>%i && Etot<%i",low,high);
//sprintf(histtitle,"ntot/Npart/23.867>>htemp%i(100)",80+i);
sprintf(histtitle,"Etot/(0.801*Npart+(1-0.801)*Ncoll)/3.9>>htemp%i(100)",80+i);
sprintf(histtitle1,"htemp%i",80+i);
ntuple->Draw(histtitle,cuts,"same");
TH1F* htemp14 = (TH1F*)gPad->GetPrimitive(histtitle1);
htemp14 = (TH1F*)gPad->GetPrimitive(histtitle1);
htemp14->SetFillColor(i+1);
htemp14->DrawCopy("same");
//cout << i << " | " << low << " | " << high << " | " << setprecision(3) << htemp14->GetMean() << " | " << htemp14->GetRMS() << " | " << endl;
high=low;
h->SetBinContent(i+1,htemp14->GetMean());
h->SetBinError(i+1,0.01*htemp14->GetRMS());
}
TCanvas* c7 = new TCanvas("c7","c7");
c7->cd();
h->Draw();
*/
//TFile *outrootfile = new TFile("OutGlauber_Hijing.root","RECREATE");
TFile *outrootfile = new TFile("test.root","RECREATE");
outrootfile->cd();
//h->Write();
gNpart->Write();
gNcoll->Write();
gtAA->Write();
hd->Write();
outrootfile->Close();
}
void printHisto( TCanvas *can , TChain *data , TChain *mc , TCut num , TCut denom , char* var , int nbins , float xmin , float xmax , char* xtitle , char* ytitle){
can->cd();
TPad *plotpad = new TPad("plotpad","plotpad",0.0,0.0,1.0,0.8);
plotpad->Draw();
plotpad->cd();
// float ptbin[] = {30., 40., 60. , 80. , 100. , 120. , 150. , 200 , 300 };
// int nptbin = 8;
float ptbin[] = { 20., 30. , 40. , 50. , 60. , 80.0 , 100.0 , 150.0 , 200.0 , 300.0 , 350.0 };
int nptbin = 10;
// float ptbin[] = { 20., 30. , 40. , 50. , 60. , 80.0 , 100.0 , 150.0 , 200.0 , 300.0 , 500.0 , 1000.0 , 1100.0 };
// int nptbin = 12;
xmax=ptbin[nptbin];
cout << "Using xmax " << xmax << endl;
//TH1F* hpass = new TH1F(Form("hpass_%i",iplot),Form("hpass_%i",iplot),nptbin,ptbin);
//TH1F* hall = new TH1F(Form("hall_%i" ,iplot),Form("hall_%i" ,iplot),nptbin,ptbin);
// TH1F* hpass_data = new TH1F(Form("hpass_data_%i",iplot),Form("hpass_data_%i",iplot),nbins,xmin,xmax);
// TH1F* hall_data = new TH1F(Form("hall_data_%i" ,iplot),Form("hall_data_%i" ,iplot),nbins,xmin,xmax);
// TH1F* hpass_mc = new TH1F(Form("hpass_mc_%i" ,iplot),Form("hpass_mc_%i" ,iplot),nbins,xmin,xmax);
// TH1F* hall_mc = new TH1F(Form("hall_mc_%i" ,iplot),Form("hall_mc_%i" ,iplot),nbins,xmin,xmax);
TH1F* hpass_data = new TH1F(Form("hpass_data_%i" ,iplot),Form("hpass_data_%i" ,iplot),nptbin,ptbin);
TH1F* hall_data = new TH1F(Form("hall_data_%i" ,iplot),Form("hall_data_%i" ,iplot),nptbin,ptbin);
TH1F* hratio_data = new TH1F(Form("hratio_data_%i" ,iplot),Form("hratio_data_%i" ,iplot),nptbin,ptbin);
TH1F* hpass_mc = new TH1F(Form("hpass_mc_%i" ,iplot),Form("hpass_mc_%i" ,iplot),nptbin,ptbin);
TH1F* hall_mc = new TH1F(Form("hall_mc_%i" ,iplot),Form("hall_mc_%i" ,iplot),nptbin,ptbin);
TH1F* hratio_mc = new TH1F(Form("hratio_mc_%i" ,iplot),Form("hratio_mc_%i" ,iplot),nptbin,ptbin);
TH1F* hsf = new TH1F(Form("hsf_%i" ,iplot),Form("hsf_%i" ,iplot),nptbin,ptbin);
hpass_data->Sumw2();
hall_data->Sumw2();
hratio_data->Sumw2();
hpass_mc->Sumw2();
hall_mc->Sumw2();
hratio_mc->Sumw2();
hsf->Sumw2();
//TCanvas *can = new TCanvas(Form("can_%i",iplot),Form("can_%i",iplot),600,600);
//can->cd();
data->Draw(Form("min(%s,%f)>>hpass_data_%i" , var,xmax-0.0001,iplot),denom+num);
data->Draw(Form("min(%s,%f)>>hall_data_%i" , var,xmax-0.0001,iplot),denom);
mc->Draw (Form("min(%s,%f)>>hpass_mc_%i" , var,xmax-0.0001,iplot),denom+num);
mc->Draw (Form("min(%s,%f)>>hall_mc_%i" , var,xmax-0.0001,iplot),denom);
TGraphAsymmErrors *grdata = new TGraphAsymmErrors();
grdata->BayesDivide(hpass_data,hall_data);
TGraphAsymmErrors *grmc = new TGraphAsymmErrors();
grmc->BayesDivide(hpass_mc,hall_mc);
cout << "data all " << hall_data->GetBinContent(2) << endl;
cout << "data pass " << hpass_data->GetBinContent(2) << endl;
cout << "data eff " << hpass_data->GetBinContent(2) / hall_data->GetBinContent(2) << endl;
Double_t x;
Double_t y;
grdata->GetPoint(1,x,y);
cout << "data eff2 " << y << endl;
cout << "MC all " << hall_mc->GetBinContent(2) << endl;
cout << "MC pass " << hpass_mc->GetBinContent(2) << endl;
cout << "MC eff " << hpass_mc->GetBinContent(2) / hall_mc->GetBinContent(2) << endl;
Double_t xmc;
Double_t ymc;
grmc->GetPoint(1,xmc,ymc);
cout << "MC eff2 " << ymc << endl;
gPad->SetGridx();
gPad->SetGridy();
grdata->SetMarkerColor(2);
grdata->SetLineColor(2);
grmc->SetMarkerColor(4);
grmc->SetLineColor(4);
grmc->SetMarkerStyle(25);
grdata->GetXaxis()->SetRangeUser(20,350);
if( TString(ytitle).Contains("iso") ) grdata->GetYaxis()->SetRangeUser(0.8,1.0);
if( TString(ytitle).Contains("ID") ) grdata->GetYaxis()->SetRangeUser(0.5,1.0);
grdata->GetXaxis()->SetTitle(xtitle);
grdata->GetYaxis()->SetTitle(ytitle);
grdata->Draw("AP");
grmc->Draw("sameP");
TLegend *leg = new TLegend(0.6,0.15,0.75,0.3);
leg->AddEntry(grdata ,"data","lp");
leg->AddEntry(grmc ,"mc" ,"lp");
leg->SetBorderSize(1);
leg->SetFillColor(0);
leg->Draw();
TLatex *t = new TLatex();
t->SetNDC();
if( TString(denom.GetTitle()).Contains("njets>=0") ) t->DrawLatex(0.2,0.2,"n_{jets} #geq 0");
if( TString(denom.GetTitle()).Contains("njets>=1") ) t->DrawLatex(0.2,0.2,"n_{jets} #geq 1");
if( TString(denom.GetTitle()).Contains("njets>=2") ) t->DrawLatex(0.2,0.2,"n_{jets} #geq 2");
if( TString(denom.GetTitle()).Contains("njets>=3") ) t->DrawLatex(0.2,0.2,"n_{jets} #geq 3");
if( TString(denom.GetTitle()).Contains("njets>=4") ) t->DrawLatex(0.2,0.2,"n_{jets} #geq 4");
can->cd();
TPad *respad = new TPad("respad","respad",0.0,0.8,1.0,1.0);
respad->Draw();
respad->cd();
respad->SetGridy();
// TGraphAsymmErrors* gr_ratio = (TGraphAsymmErrors*) grdata->Clone("gr_ratio");
// gr_ratio->Divide(grmc);
// gr_ratio->Draw();
hratio_data->Divide(hpass_data,hall_data,1,1,"B");
hratio_mc ->Divide(hpass_mc ,hall_mc,1,1,"B");
hsf ->Divide(hratio_data,hratio_mc,1,1);
if( TString(ytitle).Contains("iso") ) hsf->GetYaxis()->SetRangeUser(0.9,1.1);
if( TString(ytitle).Contains("ID") ) hsf->GetYaxis()->SetRangeUser(0.6,1.1);
hsf->GetXaxis()->SetRangeUser(20,350);
hsf->GetYaxis()->SetNdivisions(3);
hsf->GetYaxis()->SetLabelSize(0.2);
hsf->GetXaxis()->SetLabelSize(0.0);
hsf->Draw("E1");
iplot ++;
}
//--------------------------------------
//function to calculate sampling factors
std::pair<Double_t,Double_t> g4_sample(int snum, Double_t energy, bool do_pion, bool do_show, bool do_print=false, bool set_val=true){
Sample* sp = sample_map[snum];
if(!sp) { std::cout << "Sample " << snum << " is not loaded." << std::endl; return std::pair<Double_t,Double_t>(0.,0.); }
//select correct file
std::string fpre = sp->fpre;
if(do_pion) fpre += "_pion";
else fpre += "_elec";
//make filenames
std::stringstream drawname, fname, piname;
fname << sp->dir << "/" << fpre << "_" << energy << "gev_10k.root";
if(do_pion) piname << "#pi^{-} " << energy << " GeV";
else piname << "e^{-} " << energy << " GeV";
//open file and tree
TFile* _file;
_file = TFile::Open((fname.str()).c_str());
TTree* totalTree = (TTree*)_file->Get("Total");
//get histo from tree (no display)
//define mip as sam_ecal*ecal < 1 gev = 1000 mev (for pions in HCAL)
if(sp->det==Hcal) drawname << "(hcal+" << sp->zeroWt << "*zero)/1000>>hsam(200)";
else drawname << "(ecal)/1000>>hsam(200)";
totalTree->Draw((drawname.str()).c_str(),"","hist goff");
TH1F* hsam = (TH1F*)gDirectory->Get("hsam");
//use parameters from histo to start fit
TSpectrum* spec = new TSpectrum(5);
spec->Search(hsam,5,"nodraw goff");
Float_t* xpos = spec->GetPositionX();
Float_t* ypos = spec->GetPositionY();
Double_t m = xpos[0];
Double_t me = hsam->GetMeanError();
Double_t N = hsam->GetEntries();
std::stringstream s_mean;
s_mean.precision(3);
Double_t f = energy/m;
Double_t f_err = energy*(me/(m*m));
s_mean << f << " #pm " << f_err;
TPolyMarker* pm = new TPolyMarker(1, xpos, ypos);
hsam->GetListOfFunctions()->Add(pm);
pm->SetMarkerStyle(23);
pm->SetMarkerColor(kRed);
pm->SetMarkerSize(1.3);
std::cout.precision(6);
std::cout << "f_" << (do_pion ? "pion" : "elec") << " = " << f << " +/- " << f_err << std::endl;
//plotting and printing
if (do_show){
TCanvas* can = new TCanvas("sample","sample",700,500);
can->cd();
TPad* pad = new TPad("graph","",0,0,1,1);
pad->SetMargin(0.12,0.05,0.15,0.05);
pad->Draw();
pad->cd();
//formatting
hsam->SetTitle("");
hsam->GetXaxis()->SetTitle("Energy [GeV]");
//hsam->SetStats(kTRUE);
//gStyle->SetOptStat("mr");
hsam->SetLineWidth(2);
hsam->SetLineColor(kBlack);
hsam->GetYaxis()->SetTitleSize(32/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetYaxis()->SetLabelSize(28/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetTitleSize(32/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetLabelSize(28/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetYaxis()->SetTickLength(12/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetTickLength(12/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->Draw();
std::stringstream Nname;
Nname << "N = " << N;
//determine placing of pave
Double_t xmin;
if (m/((hsam->GetXaxis()->GetXmax() + hsam->GetXaxis()->GetXmin())/2) < 1) xmin = 0.65;
else xmin = 0.2;
//legend
TPaveText *pave = new TPaveText(xmin,0.65,xmin+0.2,0.85,"NDC");
pave->AddText((piname.str()).c_str());
pave->AddText((Nname.str()).c_str());
pave->AddText("Peak sampling factor:");
pave->AddText((s_mean.str()).c_str());
pave->SetFillColor(0);
pave->SetBorderSize(0);
pave->SetTextFont(42);
pave->SetTextSize(0.05);
pave->Draw("same");
if(do_print) {
std::stringstream oname;
oname << pdir << "/" << fpre << "_sample_" << energy << "gev_peak.png";
can->Print((oname.str()).c_str(),"png");
}
}
else _file->Close();
//store value in sample
if(set_val){
if(do_pion) sp->sam_pion = f;
else sp->sam_elec = f;
}
return std::pair<Double_t,Double_t>(f,f_err);
}
void createNNLOplot(TString theory="ahrens")
{
// theory="ahrens", "kidonakis"
TString outputRootFile="test.root";
// NB: add new datset name here
if(theory.Contains("ahrens") ){
outputRootFile="AhrensNLONNLL";
//if(theory.Contains("mtt") ) outputRootFile+="mttbar" ;
//else if(theory.Contains("pt")) outputRootFile+="pTttbar";
outputRootFile+=".root";
}
else if(theory=="kidonakis") outputRootFile="KidonakisAproxNNLO.root";
// general options
gStyle->SetOptStat(0);
bool usequad=true;
bool divideByBinwidth=true;
// list of variables
std::vector<TString> xSecVariables_, xSecLabel_;
// NB: add variables for new datset name here
TString xSecVariablesUsedAhrens[] ={"ttbarMass", "ttbarPt"};
TString xSecVariablesUsedKidonakis[] ={"topPt" , "topY" };
if( theory.Contains("ahrens") ) xSecVariables_ .insert( xSecVariables_.begin(), xSecVariablesUsedAhrens , xSecVariablesUsedAhrens + sizeof(xSecVariablesUsedAhrens )/sizeof(TString) );
else if(theory=="kidonakis") xSecVariables_ .insert( xSecVariables_.begin(), xSecVariablesUsedKidonakis, xSecVariablesUsedKidonakis + sizeof(xSecVariablesUsedKidonakis)/sizeof(TString) );
// get variable binning used for final cross sections
std::map<TString, std::vector<double> > bins_=makeVariableBinning();
//std::vector<double> tempbins_;
//double ttbarMassBins[]={345,445,545,745, 1045};
//tempbins_.insert( tempbins_.begin(), ttbarMassBins, ttbarMassBins + sizeof(ttbarMassBins)/sizeof(double) );
//bins_["ttbarMass"]=tempbins_;
// loop all variables
for(unsigned var=0; var<xSecVariables_.size(); ++var){
TString variable=xSecVariables_[var];
std::cout << "----------" << std::endl;
std::cout << theory << ": " << variable << std::endl;
// get bin boundaries
double low =bins_[variable][0];
double high=bins_[variable][bins_[variable].size()-1];
// --------------------------
// get raw nnlo theory points
// --------------------------
// NB: add new datset file names here
TGraph * rawHist;
TString predictionfolder="/afs/naf.desy.de/group/cms/scratch/tophh/CommonFiles/";
if(theory=="ahrens" ){
if(variable.Contains("ttbarMass")) rawHist= new TGraph(predictionfolder+"AhrensTheory_Mttbar_8000_172.5_NLONNLL_norm.dat");//AhrensTheory_Mtt_7000_172.5_Mtt_fin.dat
if(variable.Contains("ttbarPt" )) rawHist= new TGraph(predictionfolder+"AhrensTheory_pTttbar_8000_172.5_NLONNLL_abs.dat");//AhrensTheory_pTttbar_7000_172.5_NLONNLL_abs.dat
}
else if(theory=="kidonakis"){
if(variable.Contains("topPt")) rawHist= new TGraph(predictionfolder+"pttopnnloapprox8lhc173m.dat");//"ptnormalNNLO7lhc173m.dat" //"pttopnnloapprox8lhc173m.dat"
if(variable.Contains("topY" )) rawHist= new TGraph(predictionfolder+"ytopnnloapprox8lhc173m.dat" );//"ynormalNNLO7lhc173m.dat" //"ytopnnloapprox8lhc173m.dat"
}
// NB: say if points should be interpreted as single points with
// nothing in between or as integrated value over the range
bool points=true;
if(theory.Contains("ahrens")) points=false;
else if(theory=="kidonakis") points=true;
std::cout << "input: " << rawHist->GetTitle() << std::endl;
std::cout << "interprete values as points?: " << points << std::endl;
// --------------------
// convertion to TH1F*
// --------------------
double *Xvalues = rawHist->GetX();
int Nbins=rawHist->GetN();
//double *Yvalues = rawHist->GetY(); // not working
double xmax=-1;
double xmin=-1;
double binwidth=-1;
//
TH1F* hist;
// NB: add additional binning for new theory here
// NB: if loaded data should be interpreted as points with
// nothing in between (like kidonakis), make suree you
// choose a binning that is fine enough for the
// data points loaded
if(theory=="ahrens"){
if(variable.Contains("ttbarMass")){
xmin= 345.;
xmax=2720.;
binwidth=25.;// 5 for 8TeV, 25 for 7TeV
if(TString(rawHist->GetTitle()).Contains("8000")) binwidth=5.;
}
else if(variable.Contains("ttbarPt")){
xmin= 0.;
xmax=1300.;
binwidth=5.;
}
}
else if(theory=="kidonakis"){
if(variable.Contains("topPt")){
xmin= 0.;
xmax=1500.;
binwidth=1.;
}
else if(variable.Contains("topY")){
xmin=-3.8;
xmax= 3.8;
binwidth=0.01;
}
}
// fill data in binned TH1F
hist= new TH1F ( variable, variable, (int)((xmax-xmin)/binwidth), xmin, xmax);
TH1F* ori=(TH1F*)hist->Clone("original points");
std::cout << "fine binned theory prediction has " << hist->GetNbinsX() << " bins" << std::endl;
std::cout << "loaded values from .dat file: " << std::endl;
// list all data values loaded and the corresponding bin
for(int bin=1; bin<=Nbins; ++bin){
double x=-999;
double y=-999;
// NB: choose if loaded data is interpreted as points with nothing
// between (like kidonakis) or as integrated over the bin range (like ahrens)
if(points){
// check if you are still inside the array
//std::cout << "data point " << bin-1 << "/" << sizeof(Xvalues)/sizeof(double) << std::endl;
if(rawHist->GetPoint(bin-1, x, y)!=-1){
//x=Xvalues[bin-1]; // get value from data points
x+=0.5*binwidth; // add half the binwidth to get the center of the bin
}
}
else{
x=hist->GetBinCenter(bin); // get bin center
y=rawHist->GetY()[bin-1];
}
if(x!=-999){
std::cout << "data point: " << bin;
std::cout << "(<x>=" << x << ")-> bin";
// get bin in target (fine binned) plot
int bin2=bin;
if(points) bin2=hist->FindBin(x);
//double y=Yvalues[bin2-1];
std::cout << bin2 << " (";
std::cout << hist->GetBinLowEdge(bin2) << ".." << hist->GetBinLowEdge(bin2+1);
std::cout << "): " << y << std::endl;
// fill target (fine binned) plot
if(!points) hist->SetBinContent(bin2, y);
// mark bins coming from the original prediction
ori->SetBinContent(bin2, 1.);
// -------------------------------
// fit range without data entries
// -------------------------------
// NB: needed if loaded data is interpreted as points with nothing
// between (like kidonakis)
if(points){
// perform a linear fit wrt previous point
// get the two points (this bin and the previous one)
int binPrev= (bin==1&&variable=="topPt") ? 0 : hist->FindBin(Xvalues[bin-2]+0.5*binwidth);
double x2=-1;
double x1= 0;
double y2=-1;
double y1= 0.;
rawHist->GetPoint(bin-1, x2, y2);
x2+=0.5*binwidth;
if(bin==1&&variable=="topPt"){
y1=0;
x1=0;
}
else{
rawHist->GetPoint(bin-2, x1, y1);
x1+=0.5*binwidth;
}
// calculate linear funtion
double a=(y2-y1)/(x2-x1);
double b=y1-a*x1;
TF1* linInterpol=new TF1("linInterpol"+getTStringFromInt(bin), "[0]*x+[1]", x1, x2);
linInterpol->SetParameter(0,a);
linInterpol->SetParameter(1,b);
double xlow = (bin==1&&variable=="topPt") ? 0. : hist->GetBinLowEdge(binPrev+1);
double xhigh = hist->GetBinLowEdge(bin2+1);
std::cout << " lin. interpolation [ (" << x1 << "," << y1 << ") .. (" << x2 << "," << y2 << ") ]: " << a << "*x+" << b << std::endl;
linInterpol->SetRange(xlow, xhigh);
hist->Add(linInterpol);
}
}
}
// check theory curve
std::cout << std::endl << "analyze theory curve:" << std::endl;
double integralRawTheory=hist->Integral(0.,hist->GetNbinsX()+1);
std::cout << "Integral: " << integralRawTheory << std::endl;
if(integralRawTheory==0.){
std::cout << "ERROR: Integral can not be 0!" << std::endl;
exit(0);
}
std::cout << "binwidth: " << binwidth << std::endl;
std::cout << "Integral*binwidth: " << integralRawTheory*binwidth << std::endl;
std::cout << "binRange: " << xmin << ".." << xmax << std::endl;
std::cout << " -> reco range: " << low << ".." << high << std::endl;
std::vector<double> recoBins_=bins_[variable];
for(unsigned int i=0; i<recoBins_.size(); ++i){
i==0 ? std::cout << "(" : std::cout << ", ";
std::cout << recoBins_[i];
if(i==recoBins_.size()-1) std::cout << ")" << std::endl;
}
// check if you need to divide by binwidth
if(std::abs(1.-integralRawTheory)<0.03){
std::cout << "Integral is approx. 1 -> need to divide by binwidth!" << std::endl;
hist->Scale(1./binwidth);
}
else if(std::abs(1-integralRawTheory*binwidth)<0.03){
std::cout << "Integral*binwidth is approx. 1 -> no scaling needed!" << std::endl;
}
else{
std::cout << "need to normalize and divide by binwidth";
hist->Scale(1./(binwidth*integralRawTheory));
}
// styling
hist->GetXaxis()->SetRangeUser(low,high);
hist->SetMarkerColor(kMagenta);
hist->SetLineColor( kMagenta);
hist->SetMarkerStyle(24);
// create canvas
std::cout << std::endl << "create canvas " << std::endl;
TCanvas *canv = new TCanvas(variable,variable,800,600);
canv->cd();
std::cout << "draw original theory curve " << std::endl;
//temp->Draw("axis");
hist->Draw("p");
//hist->Draw("hist same");
// draw original points
if(points){
for(int bin=1; bin<ori->GetNbinsX(); ++bin){
// create copy of original data points with the normalized values
if(ori->GetBinContent(bin)!=0) ori->SetBinContent(bin, hist->GetBinContent(bin));
ori->SetMarkerColor(kBlack);
ori->SetMarkerStyle(29);
ori->SetMarkerSize(1);
ori->Draw("p same");
}
}
// --------------------
// create rebinned plot
// --------------------
std::cout << std::endl << "create rebinned curve:" << std::endl;
TString name="";
// NB: add name for dataset here
name=variable;
if( theory=="kidonakis") name+="approxnnlo";
else if(theory=="ahrens" ) name+="nlonnll" ;
TH1F* binnedPlot=new TH1F(name, name, bins_[variable].size()-1, &bins_[variable][0]);
for(int bin=1; bin<=hist->GetNbinsX(); ++bin){
double y=hist->GetBinContent(bin)*hist->GetBinWidth(bin);
double xlow =hist->GetBinLowEdge(bin);
double xhigh=hist->GetBinLowEdge(bin+1);
// search corresponding bin in rebinned curve
bool found=false;
//std::cout << "xlow: " << xlow << ", xhigh: " << xhigh << std::endl; // FIXME
for(int binRebinned=0; binRebinned<=binnedPlot->GetNbinsX()+1; ++binRebinned){
if(binnedPlot->GetBinLowEdge(binRebinned)<=xlow&&binnedPlot->GetBinLowEdge(binRebinned+1)>=xhigh){
found=true;
binnedPlot->SetBinContent(binRebinned, binnedPlot->GetBinContent(binRebinned)+y);
break;
}
//else{
// std::cout << "not in: " << binnedPlot->GetBinLowEdge(binRebinned) << ".." << binnedPlot->GetBinLowEdge(binRebinned+1)<< std::endl;
//}
}
// --------------------
// use linear interpolation for edge bins
// --------------------
if(hist->GetBinCenter(bin)<high&&!found){
std::cout << "need interpolation for bin" << bin << "(<x>=" << hist->GetBinCenter(bin) << ")!"<< std::endl;
// search for the two bins involved
double binLow=0;
double binHigh=0;
for(int binRebinned=1; binRebinned<=binnedPlot->GetNbinsX(); ++binRebinned){
// search for bin in binned histo where upper border of is close to lower border of unbinned histo
if(std::abs(binnedPlot->GetBinLowEdge(binRebinned+1)-xlow)<binwidth){
binLow =binRebinned;
binHigh=binRebinned+1;
break;
}
}
std::cout << "theory bin " << xlow << ".." << xhigh << "-> reco bins ";
std::cout << binnedPlot->GetBinLowEdge(binLow) << ".." << binnedPlot->GetBinLowEdge(binLow+1) << " & ";
std::cout << binnedPlot->GetBinLowEdge(binHigh) << ".." << binnedPlot->GetBinLowEdge(binHigh+1) << std::endl;
// get the two points (this bin and the previous one)
double x2=hist->GetBinCenter (bin );
double x1=hist->GetBinCenter (bin-1);
double x3=hist->GetBinCenter (bin+1);
double y2=hist->GetBinContent(bin );
double y1=hist->GetBinContent(bin-1);
double y3=hist->GetBinContent(bin+1);
// calculate linear funtion
double a=(y2-y1)/(x2-x1);
double b=y1-a*x1;
TF1* linInterpol=new TF1("linInterpol"+getTStringFromInt(bin), "[0]*x+[1]", x1, x2);
linInterpol->SetParameter(0,a);
linInterpol->SetParameter(1,b);
// calculate the corresponding area of linear function to binned curve
double contributionLowerBin=linInterpol->Integral(xlow,binnedPlot->GetBinLowEdge(binHigh));
double contributionUpperBin=linInterpol->Integral(binnedPlot->GetBinLowEdge(binHigh),xhigh);
// draw interpolation function for checking
linInterpol->SetRange(xlow,xhigh);
linInterpol->SetLineColor(kMagenta);
linInterpol->DrawClone("same");
// eventually use quadratic interpolation for the first harens m(ttbar) bin
if(theory=="ahrens"&&variable.Contains("ttbarMass")&&usequad&&x2<450){
// calculate quadratic funtion
double a2=(y2-((y3-y1))*(x2-x1)/(x3-x1))/(x2*x2-x1*x1-(x2-x1)*(x3*x3+x1*x1)/(x3-x1));
double b2=((y3-y1)-a2*(x3*x3-x1*x1))/(x3-x1);
double c2=y1-a2*x1*x1-b*x1;
TF1* quadInterpol=new TF1("quadInterpol"+getTStringFromInt(bin), "[0]*x*x+[1]*x+[2]", x1, x2);
quadInterpol->SetParameter(0,a2);
quadInterpol->SetParameter(1,b2);
quadInterpol->SetParameter(2,c2);
// draw quad interpolation function for checking
quadInterpol->SetRange(xlow,xhigh);
quadInterpol->SetLineColor(kGreen);
quadInterpol->SetLineStyle(2);
hist->Fit(quadInterpol, "", "same", x1, x3);
// calculate the corresponding area of linear function to binned curve
quadInterpol->DrawClone("same");
double areaLow =quadInterpol->Integral(xlow,binnedPlot->GetBinLowEdge(binHigh) );
double areaHigh=quadInterpol->Integral(binnedPlot->GetBinLowEdge(binHigh),xhigh);
std::cout << "ratio(high/low) linear/quadratic: " << contributionUpperBin/contributionLowerBin << "/"<< areaHigh/areaLow << std::endl;
contributionLowerBin=y2*binwidth*areaLow /(areaLow+areaHigh);
contributionUpperBin=y2*binwidth*areaHigh/(areaLow+areaHigh);
}
// add fitted result
binnedPlot->SetBinContent(binLow , binnedPlot->GetBinContent(binLow )+contributionLowerBin);
binnedPlot->SetBinContent(binHigh, binnedPlot->GetBinContent(binHigh)+contributionUpperBin);
}
}
// ensure over/underflow is 0
binnedPlot->SetBinContent(0, 0.);
binnedPlot->SetBinContent(binnedPlot->GetNbinsX()+1, 0.);
// ensure normalization
binnedPlot->Scale(1./(binnedPlot->Integral(0.,binnedPlot->GetNbinsX()+1)));
// divide by binwidth
if(divideByBinwidth){
for(int bin=1; bin<=binnedPlot->GetNbinsX(); ++bin){
binnedPlot->SetBinContent(bin, binnedPlot->GetBinContent(bin)/binnedPlot->GetBinWidth(bin));
}
}
std::cout << "-------------------------------------------" << std::endl;
std::cout << "result: binned output histo" << std::endl;
for(int bin=1; bin<=binnedPlot->GetNbinsX(); ++bin){
std::cout << "content bin " << bin << " (" << binnedPlot->GetBinLowEdge(bin) << ".." << binnedPlot->GetBinLowEdge(bin+1) << ")= " << binnedPlot->GetBinContent(bin) << std::endl;
}
// styling
binnedPlot->SetLineColor(kBlue);
binnedPlot->SetLineWidth(2);
std::cout << "draw rebinned theory curve " << std::endl;
binnedPlot->Draw("hist same");
// draw bin boundaries
std::cout << "draw bin boundaries " << std::endl;
int binColor=kRed;
int binWidth=2;
int binStyle=6;
for(int bin=0; bin<(int)bins_.size(); ++bin){
if(!variable.Contains("ttbarMass")||bins_[variable][bin]>=345.) drawLine(bins_[variable][bin], 0, bins_[variable][bin], hist->GetMaximum(), binColor, binWidth, binStyle);
}
TH1F* line=(TH1F*)hist->Clone("line");
line->SetLineColor(binColor);
line->SetLineWidth(binWidth);
line->SetLineStyle(binStyle);
// legend
TLegend *leg = new TLegend(0.7, 0.6, 0.95, 0.9);
legendStyle(*leg,theory);
if(points) leg ->AddEntry(ori, "original data points","P");
leg ->AddEntry(hist , "theory prediction" ,"P");
leg ->AddEntry(line , "reco binning" ,"L");
leg ->AddEntry(hist , "linear interpolation" ,"L");
leg ->AddEntry(binnedPlot, "rebinned curve" ,"L");
leg->Draw("same");
std::cout << "done" << std::endl;
// save in png and rootfile
std::cout << std::endl << "do saving..." << std::endl;
canv->SaveAs(variable+"Norm_Theory.png");
TH1F* out=(TH1F*)binnedPlot->Clone();
out->SetTitle(variable);
out->SetName (variable);
out->GetXaxis()->SetTitle(xSecLabelName(variable));
TString yTile="#frac{1}{#sigma} #frac{d#sigma}{d";
if(variable=="ttbarMass") yTile+="m^{t#bar{t}}} [GeV^{-1}]";
if(variable=="ttbarPt") yTile+="p_{T}^{t#bar{t}}} [GeV^{-1}]";
if(variable=="topPt") yTile+="p_{T}^{t}} [GeV^{-1}]";
if(variable=="topY" ) yTile+="y^{t}}";
out->GetYaxis()->SetTitle(yTile);
out->SetLineColor(kOrange+2);
out->SetLineStyle(2);
std::cout << std::endl << "draw final result " << std::endl;
TCanvas *canv2 = new TCanvas(variable+"Rebinned",variable+"Rebinned",800,600);
canv2->cd();
out->Draw();
saveToRootFile(outputRootFile, out , true, 0,"" );
saveToRootFile(outputRootFile, rawHist, true, 0,"graph" );
saveToRootFile(outputRootFile, canv , true, 0,"detail");
std::cout << "done!" << std::endl;
}
}
//------------------------------------------------------------------------
void DrawLEDminCFD()
{
Int_t npeaks = 10;
Int_t sigma=10.;
Bool_t down=false;
Int_t index[20];
TCanvas *c1 = new TCanvas("c1", " LED-CFD C side",0,48,1280,951);
c1->Divide(4,3);
Char_t buf1[20];
for (Int_t i=0; i<12; i++)
{
c1->cd(i+1);
sprintf(buf1,"LEDminCFD%i",i+1);
TH1F *cfd = (TH1F*) gFile->Get(buf1);
cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.2);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0) {
Float_t *xpeak = s->GetPositionX();
TMath::Sort(nfound, xpeak, index,down);
Float_t xp = xpeak[index[0]];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[index[0]]<<"\typeak = "<<yp<<endl;
Float_t hmin=xp-3*sigma;
Float_t hmax =xp+3*sigma;
cfd->GetXaxis()->SetRange(hmin,hmax);
TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
cfd->Fit("g1","RQ");
}
}
TCanvas *c2 = new TCanvas("c2", "LED-CFD A side",0,48,1280,951);
c2->Divide(4,3);
Char_t buf1[20];
for (Int_t i=12; i<24; i++)
{
c2->cd(i+1-12);
sprintf(buf1,"LEDminCFD%i",i+1);
TH1F *cfd = (TH1F*) gFile->Get(buf1);
cfd->Draw();
TSpectrum *s = new TSpectrum(2*npeaks,1);
Int_t nfound = s->Search(cfd,sigma," ",0.2);
cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
if(nfound!=0) {
Float_t *xpeak = s->GetPositionX();
TMath::Sort(nfound, xpeak, index,down);
Float_t xp = xpeak[index[0]];
Int_t xbin = cfd->GetXaxis()->FindBin(xp);
Float_t yp = cfd->GetBinContent(xbin);
cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[index[0]]<<"\typeak = "<<yp<<endl;
Float_t hmin=xp-3*sigma;
Float_t hmax =xp+3*sigma;
cfd->GetXaxis()->SetRange(hmin,hmax);
TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
cfd->Fit("g1","RQ");
}
}
/*
TCanvas *c1 = new TCanvas("c1", "c1",0,48,1280,951);
c1->Divide(2,2);
Char_t buf1[10];
for (Int_t i=0; i<4; i++)
{
c1->cd(i+1);
sprintf(buf1,"LED-CFD%i",i+1);
TH1F *cfd = (TH1F*) file->Get(buf1);
// cout<<buf1<<" "<<cfd<<endl;
// cfd->Draw();
// cfd->GetXaxis()->SetRange(0,100);
Float_t mean = cfd->GetMean();
Float_t rms = cfd->GetRMS();
Float_t hmin=mean - 3*rms;
Float_t hmax =mean + 3*rms;
cfd->GetXaxis()->SetRange(hmin-10,hmax+10);
cout<<" cfd range "<<mean<<" rms "<<rms<<" "<<hmin<<" "<<hmax<<endl;
// TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
// cfd->Fit("g1","RQ");
cfd->Draw();
}
*/
}
