TH1D* plot (std::string num, std::string den,std::vector<TFile*>& tfiles,std::vector<double>& weights) {
double weightTot = 0.0;
for ( int i = 0; i<weights.size(); i++) {
weightTot+=weights[i];
}
std::string name = num;
name+="NEW";
TH1D* hNum = (TH1D*)tfiles[0]->Get(num.c_str());
TH1D* HNum = (TH1D*)hNum->Clone(name.c_str());
HNum->Sumw2();
name=den;
name+="NEW";
TH1D* hDen = (TH1D*)tfiles[0]->Get(den.c_str());
TH1D* HDen = (TH1D*)hDen->Clone(name.c_str());
HDen->Sumw2();
for (int i=1; i<tfiles.size(); i++) {
TH1D* htempNum = (TH1D*)tfiles[i]->Get(num.c_str());
TH1D* htempDen = (TH1D*)tfiles[i]->Get(den.c_str());
HNum->Add(htempNum,weights[i]/weightTot);
HDen->Add(htempDen,weights[i]/weightTot);
}
name = num;
name+="Div";
TH1D* hDiv = (TH1D*)HNum->Clone(name.c_str());
//hDiv->Sumw2();
hDiv->Divide(HDen);
return hDiv;
}
void Drawbbc(){
TFile *f = new TFile("merged.root");
TH1D* hbbcs;
TH1D* hbbcn;
TCanvas *c1;
TCanvas *c2;
TLegend *leg = new TLegend(0.5,0.7,0.7,0.85);
leg->SetBorderSize(0);
leg->SetFillColor(0);
leg->SetTextSize(0.048);
TH2F* bbcsbbcn = (TH2F*)f->Get(Form("bbcsbbcn_0"));
for(int xcent=1; xcent < 6; xcent++){
TH1F* bbcsbbcndis_t = (TH1F*)f->Get(Form("bbcsbbcn_%d",xcent));
bbcsbbcn->Add(bbcsbbcndis_t);
}
hbbcs = (TH1D*)bbcsbbcn->ProjectionX("bbcs",0,-1);
hbbcn = (TH1D*)bbcsbbcn->ProjectionY("bbcn",0,-1);
hbbcs->Rebin(4);
hbbcn->Rebin(4);
c1= new TCanvas();
c1->cd();
c1->SetLogy();
SetTitle(*hbbcs,"bbc charge","# of events","");
SetRange(*hbbcs,0,1e-1,100,hbbcn->GetMaximum()*5);
SetStyle(*hbbcs,1.2,1,20,0,0);
SetStyle(*hbbcn,1.2,2,24,0,0);
hbbcs->Draw("P");
hbbcn->Draw("Psame");
leg->AddEntry(hbbcs,"bbc south");
leg->AddEntry(hbbcn,"bbc north");
leg->Draw("same");
c1->Print(Form("bbcdis.png"));
c2= new TCanvas();
c2->cd();
c2->SetLogy();
hbbcs_norm = (TH1D*)hbbcs->Clone("hbbcs_norm");
hbbcn_norm = (TH1D*)hbbcn->Clone("hbbcn_norm");
hbbcs_norm->Scale(1./hbbcs_norm->Integral());
hbbcn_norm->Scale(1./hbbcn_norm->Integral());
SetRange(*hbbcs_norm,0,1e-9,100,1);
hbbcs_norm->Draw("P");
hbbcn_norm->Draw("Psame");
leg->Draw("same");
c2->Print(Form("bbcdis_norm.png"));
c3= new TCanvas();
c3->cd();
c3->SetLogz();
SetTitle(*bbcsbbcn,"bbc charge south","bbc charge north","# of events");
SetRange(*bbcsbbcn,0,0,100,100);
bbcsbbcn->Draw("colz");
c3->Print("bbcsbbcn.png");
}
Double_t MakeHistsForSlides(TString goodFile, TString badFile, TString rootFile)
{
//Extracting the histogram
TFile* f = TFile::Open(rootFile);
TDirectoryFile* dirFile = (TDirectoryFile*)(f->Get("AliAnalysisTaskCalibEmcal"));
TList* list = (TList*)(dirFile->Get("histogram"));
TH2D* cellVAmplitude = (TH2D*)(list->FindObject("_histogram_cell_id_amplitude"));
//Getting a Good Cell
TH1D* goodC = new TH1D();
ifstream myFile(goodFile);
TString title = "";
const int num = 500;
if(myFile.is_open())
{
string line = "";
std::getline(myFile,line);
int index = 0;
double chi2 = 0.0;
while(myFile >> index >> chi2 && index < num)
{
//cout << index << "\t" << chi2 << endl;
title = Form("Energy distribution of Cell %d",index);
TH1D* goodCell = cellVAmplitude->ProjectionY("goodCell", index+1,index+1);
goodC = (TH1D*)goodCell->Clone();
}
}
void NTupleSS() {
double Lumi = 19700.;
double signal_weight = 2.39163;//Lumi/(3263180./1177.3);
double ttbar_weight = Lumi / (4246440. / 23.64);
double tautau_weight = Lumi / (3297032. / 1966.7);
double tbarw_weight = Lumi / (493460. / 11.1);
double tw_weight = Lumi / (497658. / 11.1);
double ww_weight = Lumi / (10000430. / 54.94);
double wz_weight = Lumi / (10000280. / 33.21);
double zz_weight = Lumi / (9799908. / 17.7);
TH1D* Data = GetDataPhiStar();
TH1D* h_ee = GetBGPhiStar(File_Signal_reco, signal_weight);
TH1D* h_zz = GetBGPhiStar(File_zz, zz_weight);
TH1D* h_tt = GetBGPhiStar(File_tt, ttbar_weight);
TH1D* h_tautau = GetBGPhiStar(File_tautau, tautau_weight);
TH1D* h_tbarw = GetBGPhiStar(File_tbarw, tbarw_weight);
TH1D* h_tw = GetBGPhiStar(File_tw, tw_weight);
TH1D* h_ww = GetBGPhiStar(File_ww, ww_weight);
TH1D* h_wz = GetBGPhiStar(File_wz, wz_weight);
// TH1D* h_zz =GetBGPhiStar(File_zz, zz_weight);
double data_sel = Data->GetSumOfWeights();
double ee_sel = h_ee->GetSumOfWeights();
double tt_sel = h_tt->GetSumOfWeights();
double tautau_sel = h_tautau->GetSumOfWeights();
double tbarw_sel = h_tbarw->GetSumOfWeights();
double tw_sel = h_tw->GetSumOfWeights();
double ww_sel = h_ww->GetSumOfWeights();
double wz_sel = h_wz->GetSumOfWeights();
double zz_sel = h_zz->GetSumOfWeights();
// double t_bg=ee_sel+tt_sel+tautau_sel+tbarw_sel+tw_sel+ww_sel+wz_sel+zz_sel;
double t_bg = ee_sel + tt_sel + tautau_sel + tbarw_sel + tw_sel + ww_sel +
wz_sel + zz_sel;
cout << "total left:" << data_sel - t_bg;
cout << "Data: " << data_sel << " ee: " << ee_sel << " tt: " << tt_sel <<
" tautau: " << tautau_sel << " tbarw: " << tbarw_sel << " tw: " << tw_sel <<
" singletop: " << tbarw_sel + tw_sel << " ww: " << ww_sel << " wz: " << wz_sel
<< " zz: " << zz_sel << endl;
cout << "ratio:" << " ee: " << ee_sel / data_sel << " tt: " << tt_sel
/ data_sel << " tautau: " << tautau_sel / data_sel << " tbarw: " << tbarw_sel
/ data_sel << " tw: " << tw_sel / data_sel << " singletop: " <<
(tbarw_sel + tw_sel) / data_sel << " ww: " << ww_sel / data_sel << " wz: " <<
wz_sel / data_sel << " zz: " << zz_sel / data_sel << "data: " <<
(data_sel - t_bg) / data_sel << endl;
TH1D* h_qcd = (TH1D*)Data->Clone();
h_qcd->Add(h_ee, -1.0);
h_qcd->Add(h_tt, -1.0);
h_qcd->Add(h_tautau, -1.0);
h_qcd->Add(h_tbarw, -1.0);
h_qcd->Add(h_tw, -1.0);
h_qcd->Add(h_ww, -1.0);
h_qcd->Add(h_wz, -1.0);
h_qcd->Add(h_zz, -1.0);
h_qcd->Draw();
cout << "norm=" << h_qcd->GetSumOfWeights() << endl;;
}
void CheckTaggEffButVsH() {
Char_t Name[256];
Char_t *VarName;
//Connect to all existing histograms
RootFileBut = new TFile(Str_RootFilesBut);
TH2D *hBut2D = (TH2D*)gROOT->FindObject("hTaggerTime");
RootFileH = new TFile(Str_RootFilesH);
TH2D *hH2D = (TH2D*)gROOT->FindObject("hTaggerTime");
gROOT->cd();
TH1D *hButBg = hBut2D->ProjectionY("TempBut1D", 800, 950);
TH1D *hHBg = hH2D->ProjectionY("TempH1D", 800, 950);
TCanvas *c1 = new TCanvas();
gStyle->SetPalette(1);
c1->Divide(2,2);
c1->cd(1);
hButBg->Draw("");
c1->cd(2);
hHBg ->Draw("");
c1->cd(3);
delete gROOT->FindObject("Diff");
TH1D *hDiff = (TH1D*) hButBg->Clone("Diff");
hDiff->Divide(hHBg);
hDiff->Draw();
RootFileBut->Close();
RootFileH->Close();
printf("Finished.\n");
}
void MCefficiency(TString inputmc, TString outputfile, TString tfend, TString selmcgen, TString cut, TString weight, Float_t centmin, Float_t centmax)
{
Float_t hiBinMin,hiBinMax;
hiBinMin = centmin*2;
hiBinMax = centmax*2;
selmcgen = Form("%s&&hiBin>=%f&&hiBin<%f",selmcgen.Data(),hiBinMin,hiBinMax);
cut = Form("%s&&hiBin>=%f&&hiBin<%f",cut.Data(),hiBinMin,hiBinMax);
TFile* infMC = new TFile(inputmc.Data());
TTree* ntMC = (TTree*)infMC->Get("ntDkpi");
ntMC->AddFriend("ntHi");
ntMC->AddFriend("ntSkim");
TTree* ntGen = (TTree*)infMC->Get("ntGen");
ntGen->AddFriend("ntHi");
ntGen->AddFriend("ntSkim");
TH1D* hPtMC = new TH1D("hPtMC","",nPtBins,ptBins);
TH1D* hPtGen = new TH1D("hPtGen","",nPtBins,ptBins);
ntMC->Project("hPtMC","Dpt",TCut(weight)*(TCut(cut.Data())&&"(Dgen==23333)"));
divideBinWidth(hPtMC);
ntGen->Project("hPtGen","Gpt",TCut(weight)*(TCut(selmcgen.Data())));
divideBinWidth(hPtGen);
TH1D* hEff = (TH1D*)hPtMC->Clone("hEff");
hEff->Divide(hPtGen);
TFile* fout=new TFile(Form("%s_cent_%.0f_%.0f_%s.root",outputfile.Data(),centmin,centmax,tfend.Data()),"recreate");
fout->cd();
hEff->Write();
fout->Close();
}
TH1D * scaleHistsFromPtHatRootFilesReturnHist( string histname, vector <TFile* > &rootFiles )
{
const double lumi = 40.03 ; // pb-1
vector <double> mcscales;
// mcscales.push_back( 117276. / 3468514. * lumi); // xs / nevents * lumi
// mcscales.push_back( 7823. / 2936644. * lumi);
mcscales.push_back( 648.2 / 1971800. * lumi);
mcscales.push_back( 186.9 / 1981608. * lumi);
mcscales.push_back( 32.293 / 1990208. * lumi);
mcscales.push_back( 9.4183 / 1487712. * lumi);
mcscales.push_back( 0.84265 / 197959. * lumi);
mcscales.push_back( 0.114943 / 194924. * lumi);
mcscales.push_back( 0.00682981 / 198383. * lumi);
mcscales.push_back( 0.000165445 / 194528. * lumi);
TH1D * htemp = (TH1D*) rootFiles[0] -> Get( histname.c_str() );
TH1D * h_sum = (TH1D*)htemp->Clone();
h_sum->Reset();
h_sum->Sumw2();
for (unsigned int i=0; i<rootFiles.size(); i++) {
TH1D * h1 = (TH1D*) rootFiles[i] -> Get( histname.c_str() );
// h1->Sumw2();
h1->Scale(mcscales[i]);
h_sum->Add(h1);
// cout<<mcscales[i]<<" "<<h1->Integral()<<endl;
}
return h_sum;
}
// Convert plots to paper format - no title, bigger fonts etc
void combineHists( TFile* fSig, TFile* fBg, TFile* fBg2, std::string histName, std::string plotOpt, std::string outputName, std::vector<double> scalingFactors, std::string label, std::string yTitle="DEFAULT"){
TH1::SetDefaultSumw2();
// for 3 hists - sig and 2 bg
TCanvas c1;
TH1D* hSig = fSig->Get(histName.c_str());
hSig->SetLineColor(kRed);
hSig->SetMarkerSize(0);
doSignalHist(hSig);
// Make combined BG hist
// Need to rescale carefully
std::vector<TFile*> files;
files.push_back(fBg);
files.push_back(fBg2);
// TH1D* hBg = combine(files, histName, scalingFactors);
TH1D* hBgA = fBg->Get(histName.c_str());
TH1D* hBgB = fBg2->Get(histName.c_str());
TH1D* hBg = (TH1D*) hBgA->Clone();
double total = scalingFactors[0]+scalingFactors[1];
hBg->Scale(scalingFactors[0]/total);
hBg->Add(hBgB, scalingFactors[1]/total);
hBg->SetMarkerSize(0);
doAltBGHist(hBg);
THStack st("h","");
st.Add(hSig);
st.Add(hBg);
st.Draw((plotOpt+"NOSTACK").c_str());
st.GetXaxis()->SetTitle(hSig->GetXaxis()->GetTitle());
if (yTitle == "DEFAULT") {
st.GetYaxis()->SetTitle(hSig->GetYaxis()->GetTitle());
} else {
st.GetYaxis()->SetTitle(yTitle.c_str());
}
setAltTitleLabelSizes(&st.GetHistogram());
st.SetTitle("");
st.Draw((plotOpt+"NOSTACK").c_str());
TLegend* l_all = new TLegend(0.65,0.6,0.89,0.89);
l_all->AddEntry(hBg,"Gen. level QCD MC","lp");
l_all->AddEntry((TObject*)0,"(b#bar{b} + q-g scatter,",""); //null pointers for blank entries
l_all->AddEntry((TObject*)0,"q = b, #bar{b}, c, #bar{c})","");
l_all->AddEntry(hSig, "Signal MC", "lp");
l_all->AddEntry((TObject*)0,"m_{#phi} = 8 GeV", "");
doStandardLegend(l_all);
l_all->Draw();
TPaveText t(0.15, 0.75, 0.5, 0.85, "NDC");
t.AddText(label.c_str());
doStandardText(&t);
if (label != "") {
t.Draw();
}
c1.SaveAs(outputName.c_str());
if (!hSig) delete hSig;
if (!hBg) delete hBg;
}
void makeGaussianSignals(SigData_t& m_sigdata)
{
//std::vector<TH1D *> vgsh(NUMCHAN);
std::vector<TH1D *> vcdfh(NUMCHAN);
if( m_sigdata.find("gs") == m_sigdata.end() ) {
cerr << "Gaussian signal data not found, not making CDF signal!" << endl;
return;
}
for (int ichan=0; ichan<NUMCHAN; ichan++) {
TH1D *cdfh;
TString channame(channames[ichan]);
TString name;
TH1D * gsh = m_sigdata["gs"].at(ichan);
assert(gsh) ;
#if 0
name = "Signalgs_"+channame;
gsh = (TH1D *)tch->Clone(name.Data());
assert(gsh);
gsh->SetTitle("Gaussian signal");
gsh->Reset();
TF1 *g = (TF1 *)gROOT->GetFunction("gaus");
g->SetParameters(1,gaussian_mean_mass_gev,gaussian_mass_sigma_gev);
gsh->FillRandom("gaus",100000);
// norm to 1pb signal with 1/fb integrated luminosity
double norm = 1000 * gseffxacc[ichan]/gsh->Integral(0,gsh->GetNbinsX()+1,"width");
//gsh->Scale(norm/eff_fudgefactor); // kludge: pre-undo the fudge in the next module
gsh->Scale(norm);
vgsh[ichan] = gsh;
#endif
// New CDF bump, same as Gauss but set to CDF (obs/theor)*(LHC theor) = 3.43pb
cdfh = (TH1D *)gsh->Clone("CDFbump");
cdfh->Scale(3.43);
vcdfh[ichan] = cdfh;
cdfh->Draw();
gsh->Draw("same");
} // channel loop
//m_sigdata["gs"] = vgsh;
m_sigdata["cdf"] = vcdfh;
} // makeGaussianSignals
void loglikdistrib(Int_t ntrials = 10000, Bool_t print = kFALSE)
{
// compute distribution of log likelihood value
TH1D * hmc = gStack[gPadNr][gOrder[gPadNr][0]];
TH1D * hdata = gStack[gPadNr][gMaxProcess-1];
Int_t nbins = hmc->GetNbinsX();
Double_t loglik = loglikelihood(hmc, hdata, 1, nbins);
TH1D * htest = new TH1D(*hdata);
TH1D * lldistrib = new TH1D("lldistrib", "log(Likelihood) distribution",
1000, loglik-200, loglik+200);
setopt(lldistrib);
for (Int_t n = 0; n < ntrials; n++) {
// generate poisson around theorie
for (Int_t i = 1; i <= nbins; i++) {
htest->SetBinContent(i, gRandom->Poisson(hmc->GetBinContent(i)));
}
lldistrib->Fill(loglikelihood(hmc, htest, 1, nbins));
}
TCanvas * llcanvas = new TCanvas("llcanvas", "Log(Likelihood) distribution",
40, 40, 800, 600);
setopt(llcanvas);
lldistrib->SetFillColor(kYellow);
lldistrib->Draw();
lldistrib->GetYaxis()->SetTitle("Anzahl Ereignisse");
lldistrib->GetXaxis()->SetTitle("-ln L");
// autozoom
Int_t lowbin = 1;
while (lldistrib->GetBinContent(lowbin) == 0)
lowbin++;
Int_t highbin = lldistrib->GetNbinsX();
while (lldistrib->GetBinContent(highbin) == 0)
highbin--;
lldistrib->SetAxisRange(lldistrib->GetBinLowEdge(lowbin),
lldistrib->GetBinLowEdge(highbin));
TH1D * hworse = (TH1D *) lldistrib->Clone();
for (Int_t nbin = 1; nbin < 501; nbin++) {
hworse->SetBinContent(nbin, 0);
}
hworse->SetFillColor(95);
hworse->Draw("same");
Double_t pvalue = lldistrib->Integral(501,1000) / lldistrib->Integral();
TLatex * tex = new TLatex(0.18, 0.96, Form("-ln L_{obs} = %5.2f", loglik));
tex->SetNDC();
tex->SetTextAlign(13);
tex->Draw();
tex = new TLatex(0.18, 0.86, Form("CL_{obs} = %.3f", pvalue));
tex->SetNDC();
tex->SetTextAlign(13);
tex->Draw();
TLine * l = new TLine(loglik, 0, loglik, lldistrib->GetMaximum());
l->SetLineWidth(3);
l->SetLineColor(kBlue);
l->Draw();
llcanvas->Modified();
llcanvas->Update();
if (print)
llcanvas->Print("lldistrib.pdf");
cd(gPadNr+1);
}
void getComparisons_ABCD(TString INPUTDIR_PREFIX, TString varType, TString whichHist, TString SCEN_TRIG, TString shapeComb, TString RR) {
//Add categories according to the factorization ansats. Fixed
const int nconfs = 3;
TString overallConfs[nconfs] = {"Glb_Tight2012_IsolPFRelCombNoEGammaR03_"+SCEN_TRIG,"Glb_Tight2012_IsolPFRelCombNoEGammaR03","Glb_Tight2012"};
//get TP efficiencies for above categories
TH1D* htrigAB;
TH1D* hisoAB;
TH1D* hrecoidAB;
TH1D* htrig_mc;
TH1D* hiso_mc;
TH1D* hrecoid_mc;
if (whichHist == "trig") htrigAB = getSimplePlot(INPUTDIR_PREFIX,overallConfs[0],"data_all",varType,SCEN_TRIG,"RunAB");
if (whichHist == "iso") hisoAB = getSimplePlot(INPUTDIR_PREFIX,overallConfs[1],"data_all",varType,SCEN_TRIG,"RunAB");
if (whichHist == "recoid") hrecoidAB = getSimplePlot(INPUTDIR_PREFIX,overallConfs[2],"data_all",varType,SCEN_TRIG,"RunAB");
if (whichHist == "trig") htrigC = getSimplePlot(INPUTDIR_PREFIX,overallConfs[0],"data_all",varType,SCEN_TRIG,"RunC");
if (whichHist == "iso") hisoC = getSimplePlot(INPUTDIR_PREFIX,overallConfs[1],"data_all",varType,SCEN_TRIG,"RunC");
if (whichHist == "recoid") hrecoidC = getSimplePlot(INPUTDIR_PREFIX,overallConfs[2],"data_all",varType,SCEN_TRIG,"RunC");
if (whichHist == "trig") htrigD = getSimplePlot(INPUTDIR_PREFIX,overallConfs[0],"data_all",varType,SCEN_TRIG,"RunD");
if (whichHist == "iso") hisoD = getSimplePlot(INPUTDIR_PREFIX,overallConfs[1],"data_all",varType,SCEN_TRIG,"RunD");
if (whichHist == "recoid") hrecoidD = getSimplePlot(INPUTDIR_PREFIX,overallConfs[2],"data_all",varType,SCEN_TRIG,"RunD");
if (whichHist == "trig") htrig_mc = (TH1D*)htrigAB->Clone();
if (whichHist == "iso") hiso_mc = (TH1D*)hisoAB->Clone();
if (whichHist == "recoid") hrecoid_mc = (TH1D*)hrecoidAB->Clone();
if (varType != "rrr" && varType != "rrr2" && varType != "rrr3") {
if (whichHist == "trig") {
htrig_mc = getSimplePlot(INPUTDIR_PREFIX,overallConfs[0],"datalike_mc",varType,SCEN_TRIG,RR);
getComparisonABCDratio(htrig_mc, htrigAB, htrigC, htrigD, varType, true, INPUTDIR_PREFIX,RR);
}
if (whichHist == "iso") {
hiso_mc = getSimplePlot(INPUTDIR_PREFIX,overallConfs[1],"datalike_mc",varType,SCEN_TRIG,RR);
getComparisonABCD(hiso_mc, hisoAB, hisoC, hisoD, varType, true, INPUTDIR_PREFIX,RR);
}
if (whichHist == "recoid") {
hrecoid_mc = getSimplePlot(INPUTDIR_PREFIX,overallConfs[2],"datalike_mc",varType,SCEN_TRIG,RR);
getComparisonABCD(hrecoid_mc, hrecoidAB, hrecoidC, hrecoidD, varType,true, INPUTDIR_PREFIX,RR);
}
}
}
// 1 file argument -> add e+m from same files e.g. mc
// this is considered to be MC -> added to sum histo
TH1D* get(const TString& File){ //
TFile file(path+File);
TH1D* mH = (TH1D*)file.Get(mName);
TH1D* eH = (TH1D*)file.Get(eName);
gROOT->cd();
TH1D* H = mH->Clone();// Sumw2() is copied as well
H->Add(eH);
return H;
}
// -----------------------------------------------------------------------------
//
TH1* getHisto( std::string nameFile,
std::string nameHist,
std::string Dirname,
int rebin ) {
std::string name = nameFile;
TFile* file = new TFile(name.c_str());
if (file) { std::cout << "Opened file: " << file->GetName() << std::endl; }
else {
std::cout << "Could not find file: " << name << std::endl;
return 0;
}
TDirectory* dir = (TDirectory*)file->Get(Dirname.c_str());
if (dir) { std::cout << "Opened dir: " << dir->GetName() << std::endl; }
else {
std::cout << "Could not find dir: " << Dirname << std::endl;
return 0;
}
int low = 375;
TH1* hist = 0;
if ( false || nameHist.find("HtMultiplicity_HT375") == std::string::npos ) {
hist = (TH1*)dir->Get(nameHist.c_str());
} else {
for ( uint ii = low; ii <= 975; ii+=100 ) {
std::stringstream tmp; tmp << "HtMultiplicity_HT" << ii << nameHist.substr(20);
if ( !hist ) {
dir->cd();
TH1D* temp = (TH1D*)dir->Get( "HtMultiplicity_HT375_aT0" );
//TH1D* temp = (TH1D*)file->Get( tmp.str().c_str() );
if (temp) { hist = (TH1D*)temp->Clone(); }
else { std::cout << "1 Unable to retrieve histo with name " << tmp.str() << std::endl; }
} else {
dir->cd();
TH1D* temp = (TH1D*)dir->Get( tmp.str().c_str() );
if (temp) { hist->Add( (TH1D*)temp ); }
else { std::cout << "2 Unable to retrieve histo with name " << tmp.str() << std::endl; }
}
}
}
if (hist) { std::cout << "Opened histo: " << hist->GetName() << std::endl; }
else {
std::cout << "Could not find histo: " << nameHist << std::endl;
return 0;
}
hist->SetLineWidth(3);
if ( rebin > 0 ) { hist->Rebin(rebin); }
hist->GetXaxis()->SetTitleSize(0.055);
hist->GetYaxis()->SetTitleSize(0.055);
hist->GetXaxis()->SetLabelSize(0.05);
hist->GetYaxis()->SetLabelSize(0.05);
hist->SetStats(kFALSE);
return hist;
}
// 2 file arguments -> add e+m from different files e.g. data
// this is considered to be data not added to sum histo
TH1D* get(const TString& eFile, const TString& mFile){
TFile mfile(path+mFile);
TFile efile(path+eFile);
TH1D* mH = (TH1D*)mfile.Get(mName);
TH1D* eH = (TH1D*)efile.Get(eName);
gROOT->cd();
TH1D* H = mH->Clone();
H->Add(eH);
return H;
}
int main(){
TFile * data = TFile::Open("TreesMu_Data_plots.root");
TH1D * dataMtop = (TH1D*)data->Get("antiEtaFwDTrue_allW/antiEtaFwDTrue_allWcosTheta");
TFile * tt = TFile::Open("TreesMu_TTBar_RW.root");
TH1D * ttMtop = (TH1D*)tt->Get("MtopOutWindowTrue_allW/MtopOutWindowTrue_allWcosTheta");
TH2D * ttMtop2D = (TH2D*)tt->Get("MtopOutWindowTrue_allW/MtopOutWindowTrue_allWcosTheta2D");
std::pair<TF1, WeightFunctionCreator*> WeightFuncUD(WeightFunctionCreator::getWeightFunction("WeightFuncUDF", F0, FL));
std::pair<TF1, WeightFunctionCreator*> WeightFuncDU(WeightFunctionCreator::getWeightFunction("WeightFuncDUF", F0, FL));
cout<<F0 + F0Sys<<"\t"<<FL - FLSys<<endl;
WeightFuncUD.first.SetParameters(F0 + F0Sys, FL - FLSys);
WeightFuncDU.first.SetParameters(F0 - F0Sys, FL + FLSys);
TH1D * ttUD = myReweightor(ttMtop2D,WeightFuncUD,"WeightFuncUD_");
cout<<"ratio: "<<ttMtop2D->Integral()/ttUD->Integral()<<endl;
ttUD->Scale(ttMtop2D->Integral()/ttUD->Integral());
ttUD->Add(ttMtop);
TH1D * wUD = (TH1D*)ttUD->Clone("wUD");
wUD->Scale(-1.);
wUD->Add(dataMtop);
TH1D * ttDU = myReweightor(ttMtop2D,WeightFuncDU,"WeightFuncDU_");
cout<<"ratio: "<<ttMtop2D->Integral()/ttDU->Integral()<<endl;
ttDU->Scale(ttMtop2D->Integral()/ttDU->Integral());
ttDU->Add(ttMtop);
TH1D * wDU = (TH1D*)ttDU->Clone("wDU");
wDU->Scale(-1.);
wDU->Add(dataMtop);
TFile * out = new TFile("file.root","recreate");
out->cd();
WeightFuncUD.first.Write();
WeightFuncDU.first.Write();
ttUD->Write();
ttDU->Write();
wUD->Write();
wDU->Write();
out->Close();
return 1;
}
void takeDirectlyFromMC(TFile* fin, TFile* fout, TString gentype) {
TList* listOfDirs = fin->GetListOfKeys();
for (auto k : *listOfDirs) {
TString srname = k->GetName();
if (!srname.Contains("sr")) continue;
if (srname.Contains("base") || srname.Contains("incl") || srname.Contains("sb")) continue;
if (gentype == "_1lepW" && !srname.EndsWith("2") && !srname.EndsWith("3")) continue;
auto indir = (TDirectoryFile*) fin->Get(srname);
auto outdir = (TDirectory*) fout->mkdir(srname);
auto hlist = indir->GetListOfKeys();
for (auto h : *hlist) {
TString hname = h->GetName();
if (!hname.BeginsWith("h_metbins" + gentype)) continue;
TH1D* hin = (TH1D*) indir->Get(hname);
outdir->cd();
TH1D* hout = (TH1D*) hin->Clone(TString(hname).ReplaceAll(gentype, ""));
for (int i = 1; i <= hout->GetNbinsX(); ++i) {
// zero out negative yields
if (hout->GetBinContent(i) < 0) {
hout->SetBinContent(i, 0);
hout->SetBinError(i, 0);
}
}
hout->Write();
if (yearSeparateSyst && (hname.EndsWith("Up") || hname.EndsWith("Dn"))) {
for (int i = 1; i < 4; ++i) {
TH1D* hcen_yi = (TH1D*) fbkgs[i]->Get(srname+"/h_metbins"+gentype);
TH1D* hsys_yi = (TH1D*) fbkgs[i]->Get(srname+"/"+hname);
if (hsys_yi && !hcen_yi) {
cout << "Find " << srname+"/"+hname << " from " << fbkgs[i]->GetName() << " but not hcen " << srname+"/h_metbins"+gentype << " Should not happen?" << endl;
}
TH1D* hout_yi = (TH1D*) fin->Get(srname+"/h_metbins"+gentype)->Clone(TString(hname).Insert(hname.Length()-2, Form("%d", 15+i)).ReplaceAll(gentype, ""));
if (hcen_yi) hout_yi->Add(hcen_yi, -1);
if (hsys_yi) hout_yi->Add(hsys_yi);
hout_yi->Write();
}
}
}
if (!outdir->Get("h_metbins")) {
cout << "Didn't find yield hist for " << gentype << " in " << fin->GetName() << ":" << srname << "/. Faking a 0 one!" << endl;
outdir->cd();
// Get the MET binning from h_metbins, which shall always exist, and then set all bins to 0
TH1D* hout = (TH1D*) fin->Get(srname + "/h_metbins")->Clone("h_metbins");
for (int i = 1; i <= hout->GetNbinsX(); ++i) {
hout->SetBinContent(i, 0);
hout->SetBinError(i, 0);
}
hout->Write();
}
}
}
TH1D* GetRawCorrFunc1D_ratio(int itrg, int jass)
{
TH1D* hsignalphi = GetRawSignal1D(itrg,jass);
TH1D* hcorrphi = (TH1D*)hsignalphi->Clone(Form("corrphi_trg%d_ass%d",itrg,jass));
hcorrphi->SetYTitle("C(#Delta#phi)");
TH1D* hbackphi = GetRawBackground1D(itrg,jass);
hcorrphi->Divide(hbackphi);
float max = hcorrphi->GetBinContent(hcorrphi->GetMaximumBin());
// hcorrphi->SetAxisRange(ymin,max*1.3,"Y");
return hcorrphi;
}
void macro_exc_inc(){
TFile *f1 = TFile::Open("../MD_DYJetstoLL_inclonlyisMu_0_doUnf_1_isSS_0_jetPt_20_Tightjet_0_JES_0_ZPTweightcorr_0_18_02.root");
TFile *f2 = TFile::Open("../MD_DYJetstoLL_isMu_0_doUnf_1_isSS_0_jetPt_20_Tightjet_0_JES_0_ZPTweightcorr_0_18_02.root");
// TH1D *data =(TH1D*)(f1->Get("nup"));
// TH1D *mc =(TH1D*)(f2->Get("nup"));
TH1D *data =(TH1D*)(f1->Get("nup_mu_with_cuts"));
TH1D *mc =(TH1D*)(f1->Get("nup_mu_with_cuts"));
Int_t DY;
Int_t DY2;
TTree *tree_DY = (TTree *)f1->Get("tree");
tree_DY->SetBranchAddress("nevent",&DY);
tree_DY->GetEntry(0);
TTree *tree_DY2 = (TTree *)f2->Get("tree");
tree_DY2->SetBranchAddress("nevent",&DY2);
tree_DY2->GetEntry(0);
// Double_t Mc_scale= 3531.5*19701./30396328.;
// Double_t Mc_scale2= 3531.5*19701./;
// data->Scale(Mc_scale);
// mc->Scale(Mc_scale2);
TH1D *Mont= (TH1D*)data->Clone("Mont");
Mont->Divide(data,mc,1.0,1.0);
for(int i=1;i<=5;i++){
cout<<Mont->GetBinContent(i)<<",";
}
TCanvas *c1 = new TCanvas("c1","", 700, 900);
c1->cd();
colorIt(data,kBlack);
splithist(0.2);
c1->cd(1);
gPad->SetLogy();
mc->Draw("hhist");
data->SetMarkerStyle(10);
data->Draw("peXOCsames");
c1->cd(2);
gPad->SetGridy();
colorIt(Mont,kBlack);
Mont->SetMinimum(0.5);
Mont->SetMaximum(1.5);
Mont->GetXaxis()->SetTitleOffset(0.8);
Mont->SetYTitle("Data/MC");
Mont->Draw("peX0C");// rec/gen
fixsplithist(data,Mont);
}
void photonSpectra()
{
TH1::SetDefaultSumw2();
const Double_t PTBINS[] = {40, 50, 60, 80, 120, 300};
const Int_t nPTBINS = 5;
const TString DATA_FILE = "gammaJets_pA_Data.root";
const TString MC_FILE = "gammaJets_pA_MC_allQCDPhoton.root";
TFile *dataFile = TFile::Open(DATA_FILE);
TTree *dataTree = (TTree*)dataFile->Get("photonTree");
TFile *mcFile = TFile::Open(MC_FILE);
TTree *mcTree = (TTree*)mcFile->Get("photonTree");
TH1D *photonSpectra = new TH1D("photonSpectra","photonSpectra", nPTBINS, PTBINS);
TH1D *correctedPhotonSpectra = (TH1D*)photonSpectra->Clone("correctedPhotonSpectra");
const TCut photonEtaCut = "abs(photonTree.eta) < 1.44";
const TCut isoCut = "ecalRecHitSumEtConeDR04 < 4.2 && hcalTowerSumEtConeDR04 < 2.2 && trkSumPtHollowConeDR04 < 2 && hadronicOverEm<0.1";
const TCut genCut = "genCalIsoDR04<5 && abs(genMomId)<=22";
const TCut sbCut = "(cc4+cr4+ct4PtCut20>10) && (cc4+cr4+ct4PtCut20<20) && hadronicOverEm<0.1";
const TCut candidateCut = "sigmaIetaIeta<0.01";
const TCut decayCut = "(sigmaIetaIeta>0.011) && (sigmaIetaIeta<0.017)";
TCut photonPtCut = "photonTree.corrPt>40 && photonTree.corrPt<300";
dataTree->Project(photonSpectra->GetName(),"corrPt",isoCut && photonEtaCut && photonPtCut && candidateCut);
for(int i = 0; i<nPTBINS; ++i)
{
photonPtCut = Form("photonTree.corrPt>%f && photonTree.corrPt<%f", PTBINS[i], PTBINS[i+1] );
TCut dataCandidateCut = isoCut && photonEtaCut && photonPtCut;
TCut sidebandCut = sbCut && photonEtaCut && photonPtCut;
TCut mcSignalCut = dataCandidateCut && genCut;
fitResult fitr = getPurity(dataTree, mcTree,
dataCandidateCut, sidebandCut,
mcSignalCut);
Double_t purity = fitr.purity;
correctedPhotonSpectra->SetBinContent(i+1,photonSpectra->GetBinContent(i+1)*purity);
}
// TCanvas *c1 = new TCanvas();
// photonSpectra->Draw();
// correctedPhotonSpectra->Draw("same");
TFile *outFile = new TFile("photonSpectra.root", "RECREATE");
outFile->cd();
photonSpectra->Write();
correctedPhotonSpectra->Write();
outFile->Close();
}
void Observable::setLikelihoodFromHisto(std::string filename, std::string histoname)
{
this->filename = filename;
this->histoname = histoname;
TFile *lik = new TFile((filename + ".root").c_str(), "read");
TH1D *htmp = (TH1D*) (lik->Get(histoname.c_str()));
if (htmp == NULL)
throw std::runtime_error("ERROR: nonexistent histogram called "
+ histoname + " in "
+ filename + ".root");
inhisto = (TH1D *) htmp->Clone((filename + "/" + histoname).c_str());
inhisto->SetDirectory(gROOT);
setMin(inhisto->GetXaxis()->GetXmin());
setMax(inhisto->GetXaxis()->GetXmax());
lik->Close();
delete lik;
}
TH1D* GetJetCorrFunc1D_ZYA1(int itrg, int jass)
{
TH1D* hcorrphi = (TH1D*)GetRawCorrFunc1D_ratio(itrg,jass);
TH1D* hcorrphi_clone = (TH1D*)hcorrphi->Clone(Form("corrphi_clone_itrg%d_jass%d",itrg,jass));
hcorrphi->SetAxisRange(0.5,2.0,"X");
double histminY = hcorrphi->GetMinimum();
TF1* fitfunc = new TF1("fitfunc","[0]+[1]*x",0.8,1.2);
fitfunc->SetParameters(histminY,0);
fitfunc->FixParameter(1,0);
for(int ifit=0;ifit<3;ifit++) hcorrphi->Fit("fitfunc","RNO");
float level = fitfunc->GetParameter(0);
for(int ibin=1;ibin<=hcorrphi_clone->GetNbinsX();ibin++) hcorrphi_clone->SetBinContent(ibin,hcorrphi_clone->GetBinContent(ibin)-level);
float max = hcorrphi_clone->GetBinContent(hcorrphi_clone->GetMaximumBin());
hcorrphi_clone->SetAxisRange(ymin,max*1.3,"Y");
hcorrphi_clone->SetAxisRange(-PI/2.,3.*PI/2.,"X");
delete fitfunc;
return hcorrphi_clone;
}
TH1D* GetJetCorrFunc1D_doublegaussian(int itrg, int jass)
{
TH1D* hcorrphi = (TH1D*)GetRawCorrFunc1D_ratio(itrg,jass);
TF1* fitfunc = new TF1("fitfunc",doubleGaussian,-PI/2.,3.*PI/2.,5);
fitfunc->SetParameters(hcorrphi->GetMinimum(),hcorrphi->GetMaximum()-hcorrphi->GetMinimum(),0.3,hcorrphi->GetMaximum(hcorrphi->GetMaximum())-hcorrphi->GetMinimum(),0.5);
fitfunc->SetParLimits(0,0,100000);
fitfunc->SetParLimits(1,0,100000);
fitfunc->SetParLimits(2,0,100000);
fitfunc->SetParLimits(3,0,100000);
fitfunc->SetParLimits(4,0,100000);
for(int ifit=0;ifit<3;ifit++) hcorrphi->Fit("fitfunc","RNO");
TH1D* hcorrphi_clone = (TH1D*)hcorrphi->Clone(Form("corrphi_clone_itrg%d_jass%d",itrg,jass));
float level = fitfunc->GetParameter(0);
for(int ibin=1;ibin<=hcorrphi_clone->GetNbinsX();ibin++) hcorrphi_clone->SetBinContent(ibin,hcorrphi_clone->GetBinContent(ibin)-level);
float max = hcorrphi_clone->GetBinContent(hcorrphi_clone->GetMaximumBin());
hcorrphi_clone->SetAxisRange(ymin,max*1.3,"Y");
delete fitfunc;
return hcorrphi_clone;
}
void fillPlot2012_gammaJets::SetPuWeights(bool isData,std::string puWeightFile) {
if (puWeightFile == "") {
std::cout << "you need a weights file to use this function" << std::endl;
return;
}
if (!isData)
std::cout << "PU REWEIGHTING:: Using file " << puWeightFile << std::endl;
TFile *f_pu = new TFile(puWeightFile.c_str(),"READ");
TH1D *puweights = 0;
TH1D *gen_pu = 0;
gen_pu= (TH1D*) f_pu->Get("generated_pu");
puweights= (TH1D*) f_pu->Get("weights");
if (!puweights || !gen_pu) {
std::cout << "weights histograms not found in file " << puWeightFile << std::endl;
return;
}
TH1D* weightedPU= (TH1D*)gen_pu->Clone("weightedPU");
weightedPU->Multiply(puweights);
//Rescaling weights in order to preserve same integral of events
TH1D* weights= (TH1D*)puweights->Clone("rescaledWeights");
weights->Scale( gen_pu->Integral(1,MAX_PU_REWEIGHT) / weightedPU->Integral(1,MAX_PU_REWEIGHT) );
float sumPuWeights=0.;
for (int i = 0; i<MAX_PU_REWEIGHT; i++) {
float weight=1.;
if( !isData ) weight=weights->GetBinContent(i+1);
sumPuWeights+=weight;
puweights_.push_back(weight);
}
}
TH1D* Plot1D (std::string var,std::vector<TFile*>& tfiles,std::vector<double>& weights) {
double weightTot = 0.0;
for ( int i = 0; i<weights.size(); i++) {
weightTot+=weights[i];
}
std::string name = var;
name+="NEW";
TH1D* hVar = (TH1D*)tfiles[0]->Get(var.c_str());
TH1D* HVar = (TH1D*)hVar->Clone(name.c_str());
HVar->Sumw2();
for (int i=1; i<tfiles.size(); i++) {
TH1D* htempVar = (TH1D*)tfiles[i]->Get(var.c_str());
HVar->Add(htempVar,weights[i]/weightTot);
}
return HVar;
}
void getMeanPtBins( Double_t * binArr, TF1* func) {
Double_t atlas_Bin[nAtlasBin+1] = {8, 9.5, 11.5, 14, 20, 30};
TH1D* firhist = (TH1D*)func->GetHistogram();
for ( int i=1 ; i<= nAtlasBin ; i++) {
float lowPtCut = atlas_Bin[i-1];
float highPtCut = atlas_Bin[i];
TH1D* tempHist = (TH1D*)firhist->Clone("tempHist");
for ( int xbin = 1 ;xbin<=tempHist->GetNbinsX() ; xbin++) {
if ( (tempHist->GetBinCenter(xbin) > highPtCut) || (tempHist->GetBinCenter(xbin) < lowPtCut) \
)
tempHist->SetBinContent(xbin,0);
}
float meanPt = tempHist->GetMean();
cout << " meanPt = " << meanPt << endl;
binArr[i-1] = meanPt;
delete tempHist;
}
}
void ChangeDataTreeName(std::string suffix){
// Define names
TString filename = "", treename = "", histname = "";
filename.Form("central_%s.root",suffix.c_str());
treename.Form("id_%s",suffix.c_str());
histname.Form("sumOfMcWeights_%s",suffix.c_str());
TString _pathFile(string(getenv("WORKAREA")) + "/histoAna" + "/SusyAna/histos_110312_13fb_n0111_DD_MMtrial9_SYS_HFT/HFTOutputs_merge/");
filename = _pathFile+filename;
cout << "open " << filename << endl;
// Open file
TFile* file = new TFile(filename,"UPDATE");
if(file->IsOpen()==kFALSE){
cerr << "Cannot open file " << filename << endl;
abort();
}
file->ls();
TTree* treeOriginal = (TTree*) file->Get(treename);
TH1D* histOriginal = (TH1D*) file->Get(histname);
TTree* treeNew = (TTree*) treeOriginal->Clone();
TH1D* histNew = (TH1D*) histOriginal->Clone();
// Set-Write-Delete
histNew->SetName ("sumOfMcWeights_Data" );
histNew->SetTitle("sumOfMcWeights_Data" );
histNew->Write ("",TObject::kOverwrite);
treeNew->SetName ("id_Data" );
treeNew->SetTitle("id_Data" );
treeNew->Write ("",TObject::kOverwrite);
file->Delete (histname+";1" );
file->Delete (treename+";1" );
// Close file
file->Close();
}
void trksplit()
{
TFile* f = new TFile("../cfg/dihadroncorrelation_wsplit_real_cent010_mc.root");
TFile* f1 = new TFile("../cfg/dihadroncorrelation_wosplit_cent010_mc.root");
TH1D* hpt = (TH1D*)f->Get("corr_ana_HI/ptall_trg");
TH1D* hpt1 = (TH1D*)f1->Get("corr_ana_HI/ptall_trg");
hpt->SetMarkerStyle(20);
hpt1->SetMarkerStyle(20);
hpt->SetMarkerColor(4);
hpt->Rebin(4);
hpt1->Rebin(4);
TCanvas* c = new TCanvas("c","c",500,450);
hpt->SetAxisRange(0,5.0,"X");
hpt->Draw("PE");
hpt1->Draw("PESAME");
TH1D* hratio = (TH1D*)hpt->Clone("hratio");
hratio->Divide(hpt1);
TCanvas* c1 = new TCanvas("c1","c1",500,450);
hratio->Draw("PE");
}
void getMeanPtBins( Double_t * binArr, TF1* func) {
Double_t lhcb_Bin[nLHCbBin+1] = {0,1,2,3,4,5,6,7,14};
TH1D* firhist = (TH1D*)func->GetHistogram();
for ( int i=1 ; i<= nLHCbBin ; i++) {
float lowPtCut = lhcb_Bin[i-1];
float highPtCut = lhcb_Bin[i];
TH1D* tempHist = (TH1D*)firhist->Clone("tempHist");
for ( int xbin = 1 ;xbin<=tempHist->GetNbinsX() ; xbin++) {
if ( (tempHist->GetBinCenter(xbin) > highPtCut) || (tempHist->GetBinCenter(xbin) < lowPtCut) )
tempHist->SetBinContent(xbin,0);
}
float meanPt = tempHist->GetMean();
if ( meanPt <0.1 ) // fit is not applied
meanPt = (lowPtCut+highPtCut)/2.;
cout << " meanPt = " << meanPt << endl;
binArr[i-1] = meanPt;
delete tempHist;
}
}
TH1D *getpuweights(TFile *file, TH1D *target) {
TDirectory *dirmcpv = (TDirectory*)file->FindObjectAny("AnaFwkMod");
TH1D *hnpu = (TH1D*)dirmcpv->Get("hNPU");
TH1D *hpumc = (TH1D*)hnpu->Clone();
hpumc->Sumw2();
hpumc->Scale(1.0/hpumc->Integral(0,hpumc->GetNbinsX()+1));
TH1D *htargettmp = new TH1D("htargettmp","", hpumc->GetNbinsX(), hpumc->GetXaxis()->GetXmin(), hpumc->GetXaxis()->GetXmax());
htargettmp->Sumw2();
for (int ibin = 0; ibin<=(htargettmp->GetNbinsX()+1); ++ibin) {
htargettmp->Fill(htargettmp->GetBinCenter(ibin),target->GetBinContent(target->FindFixBin(htargettmp->GetBinCenter(ibin))));
}
htargettmp->Scale(1.0/htargettmp->Integral(0,htargettmp->GetNbinsX()+1));
TH1D *puweights = new TH1D((*htargettmp)/(*hpumc));
delete htargettmp;
return puweights;
}
void MCtoSTATerrors() {
TLatex *tplus = labelLatex(0.1364943,0.8114407,"MC sample");
TFile *file0 = TFile::Open("results/StandardCutflow/allmc.root");
TCanvas *c1 = new TCanvas();
//TCanvas *c2 = new TCanvas();
TH1D * LPplus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFPlus");
TH1D * LPminus = (TH1D*)file0->Get("RECO_PolPlots_50toinf/RECO_ICVarPFMinus");
LPplus->Rebin(20);
LPminus->Rebin(20);
LPplus->Scale(0.3);
LPminus->Scale(0.3);
TH1D * newLPplus = (TH1D*)LPplus->Clone();
TH1D * newLPminus = (TH1D*)LPminus->Clone();
for(unsigned int i=1; i < LPplus->GetXaxis()->GetNbins(); i++) {
newLPplus->SetBinError(i, TMath::Sqrt(LPplus->GetBinContent(i)));
newLPminus->SetBinError(i, TMath::Sqrt(LPminus->GetBinContent(i)));
}
c1->cd();
newLPplus->GetYaxis()->SetTitle("Events / 300 nb^{-1}");
//newLPplus->GetXaxis()->SetTitle("LP(#mu^{+})");
newLPplus->GetXaxis()->SetTitle("LP(#mu)");
newLPplus->GetXaxis()->SetRangeUser(-1.0,2.0);
newLPplus->SetLineWidth(3);
newLPplus->SetLineStyle(2);
newLPplus->SetLineColor(kRed);
newLPplus->DrawCopy();
tplus->DrawClone("same");
// c2->cd();
// newLPminus->GetYaxis()->SetTitle("Events / 100 nb^{-1}");
// newLPminus->GetXaxis()->SetTitle("LP(#mu^{-})");
newLPminus->SetLineWidth(3);
newLPminus->SetLineStyle(2);
newLPminus->SetLineColor(kBlack);
newLPminus->DrawCopy("same");
// tplus->DrawClone("same");
leg = new TLegend(0.762931,0.720339,0.8649425,0.8622881,NULL,"brNDC");
leg->AddEntry(newLPplus,"#mu^{+}","l");
leg->AddEntry(newLPminus,"#mu^{-}","l");
leg->SetFillColor(kWhite);
leg->SetBorderSize(0);
leg->SetTextFont(62);
leg->DrawClone();
file0->Close();
return;
}
