void explore_zmass_boost()
{
// Tell root not to draw everything to the screen.
gROOT->SetBatch();
// TString dyfilename = TString("/home/acarnes/h2mumu/samples/stage1/monte_carlo/bg/stage_1_dy_jetsToLL_asympt50_ALL.root");
TString dyfilename = TString("/home/acarnes/h2mumu/samples/stage1/monte_carlo/bg/stage_1_dy_ZToMuMu_asympt50_ALL.root");
TString datafilename = TString("/home/acarnes/h2mumu/samples/stage1/data_from_json/Cert_246908-251883_13TeV_PromptReco_Collisions15_JSON_v2/stage_1_doubleMuon_RunBPrompt_MINIAOD.root");
TString savedir = TString("../png/dy_vs_data/run1cuts_v2_golden_json/dyzmumu/");
// Initialize the DiMuPlottingSystems for MC and data
DiMuPlottingSystem* dpsdata = new DiMuPlottingSystem(datafilename);
DiMuPlottingSystem* dpsdy = new DiMuPlottingSystem(dyfilename);
addDiMuMassPrimeBranch(dpsdata);
dpsdata->applyRun1Cuts();
dpsdy->applyRun1Cuts();
// Get the 2D histos
TH2F* hdataZPt = ZMassVsZPtHist2D("data_zpt", "recoCandMassPrime", "(14,0,60,30,87,95)", dpsdata);
TH2F* hdyZPt = ZMassVsZPtHist2D("dy_zpt", "recoCandMass", "(14,0,60,30,87,95)", dpsdy);
//overlayTProfiles(TH2F* hdata, TH2F* hdy, TString bininfo, TString savename)
TProfile* p = overlayTProfiles(hdataZPt, hdyZPt, 90, 92, savedir+"z_mass_vs_z_pt.png");
gStyle->SetOptFit(0011);
fitTProfileCustom(p);
TCanvas* c = new TCanvas();
c->cd();
p->Draw("hist c");
p->Draw("E0 X0 same");
dpsdata->arrangeStatBox(c);
c->Draw();
c->Print("blah2.png");
// Look at RMS
c->Clear();
c->cd();
c->SetGridx(kTRUE);
c->SetGridy(kTRUE);
c->cd();
TH1F* h = dpsdata->hist1D("recoCandMass", "(100,87,95)", "");
TH1F* h2 = dpsdata->hist1D("recoCandMassPrime", "(100,87,95)", "");
h2->SetLineColor(2);
h->Draw("");
h2->Draw("same");
std::cout << "mass rms: " << h->GetRMS() << std::endl;
std::cout << "mass' rms: " << h2->GetRMS() << std::endl;
std::cout << "mass mean: " << h->GetMean() << std::endl;
std::cout << "mass' mean: " << h2->GetMean() << std::endl;
std::cout << "mass num: " << h->Integral() << std::endl;
std::cout << "mass' num: " << h2->Integral() << std::endl;
DiMuPlottingSystem* dps = new DiMuPlottingSystem();
dps->arrangeStatBox(c);
c->Draw();
c->Print("newfit.png");
}
void __fastcall TfrmMainFormServer::lstModulesDrawItem(
TWinControl *Control, int Index, TRect &Rect, TOwnerDrawState State)
{
TRect cRect(0, 0, lstModules->Width, lstModules->Height);
TCanvas* pCanvas = ((TListBox*)Control)->Canvas;
pCanvas->FillRect(Rect); //This clears the rect
Graphics::TBitmap* bitmap = new Graphics::TBitmap();
AnsiString moduleName = lstModules->Items->Strings[Index];
if(Index == 0){
imgList->GetBitmap(1, bitmap); //table image
}else{
imgList->GetBitmap(0, bitmap); //table image
}
pCanvas->Draw(Rect.Left + 1, Rect.Top, bitmap);
delete bitmap;
pCanvas->TextOut(Rect.Left + 22, Rect.Top + 2, moduleName);
}
TF1 * iterateFitter(TH1F * histo, int i, TF1 * previousResiduals = 0, TCanvas * inputCanvas = 0)
{
TCanvas * canvas = inputCanvas;
std::stringstream ss;
int iCanvas = i;
ss << i;
int nBins = histo->GetNbinsX();
TF1 * functionToFit;
if( previousResiduals == 0 ) {
// functionToFit = relativisticBWFit(ss.str());
// functionToFit = relativisticBWintFit(ss.str());
// functionToFit = relativisticBWintPhotFit(ss.str());
functionToFit = expRelativisticBWintPhotFit(ss.str());
// functionToFit = crystalBallFit();
// functionToFit = reversedCrystalBallFit();
// functionToFit = lorentzianFit();
// functionToFit = relativisticBWFit();
}
else {
functionToFit = combinedFit(previousResiduals->GetParameters(), ss.str());
}
histo->Fit(functionToFit, "MN", "", 60, 120);
double xMin = histo->GetXaxis()->GetXmin();
double xMax = histo->GetXaxis()->GetXmax();
double step = (xMax-xMin)/(double(nBins));
TH1F * functionHisto = new TH1F(("functionHisto"+ss.str()).c_str(), "functionHisto", nBins, xMin, xMax);
for( int i=0; i<nBins; ++i ) {
functionHisto->SetBinContent( i+1, functionToFit->Eval(xMin + (i+0.5)*step) );
}
if( canvas == 0 ) {
canvas = new TCanvas(("canvasResiduals"+ss.str()).c_str(), ("canvasResiduals"+ss.str()).c_str(), 1000, 800);
canvas->Divide(2,1);
canvas->Draw();
iCanvas = 0;
}
canvas->cd(1+2*iCanvas);
histo->Draw();
functionToFit->SetLineColor(kRed);
functionToFit->Draw("same");
// functionHisto->Draw("same");
// functionHisto->SetLineColor(kGreen);
canvas->cd(2+2*iCanvas);
TH1F * residuals = (TH1F*)histo->Clone();
residuals->Add(functionHisto, -1);
residuals->SetName("Residuals");
// TF1 * residualFit = new TF1("residualFit", "-[0] + [1]*x+sqrt( ([1]-1)*([1]-1)*x*x + [0]*[0] )", 0., 1000. );
// TF1 * residualFit = new TF1("residualFit", "[0]*(x - [1])/([2]*x*x + [3]*x + [4])", 0., 1000. );
TF1 * residualFitFunction = residualFit(ss.str());
residuals->Fit(residualFitFunction, "ME", "", 90.56, 120);
residuals->Draw();
return residualFitFunction;
}
void improveHisto(TFile * inputFile, const TString & histoName, TFile * inputFile2, const TString & histoName2)
{
TH1F * histo = (TH1F*)inputFile->FindObjectAny(histoName);
TCanvas * canvas = new TCanvas();
canvas->Draw();
histo->Draw();
histo->GetXaxis()->SetTitle("#eta");
histo->GetXaxis()->SetTitleOffset(1.1);
histo->GetXaxis()->SetRangeUser(-1.5, 1.5);
double binWidth = histo->GetXaxis()->GetBinWidth(1);
stringstream ss;
ss << binWidth;
histo->GetYaxis()->SetTitle(TString("Efficiency/("+ss.str()+")"));
histo->GetYaxis()->SetTitleOffset(1.1);
histo->GetYaxis()->SetRangeUser(0., 1.1);
TH1F * histo2 = (TH1F*)inputFile2->FindObjectAny(histoName2);
histo2->Draw("same");
histo2->SetMarkerColor(kRed);
TLegend * legend = new TLegend(0.5, 0.67, 0.88, 0.88);
legend->AddEntry(histo, "top");
legend->AddEntry(histo2, "bottom");
legend->Draw("same");
legend->SetFillColor(kWhite);
legend->SetBorderSize(0);
canvas->Write();
}
void improveHisto(TFile * inputFile, const TString & histoName, const TString & histoName2 = "")
{
TH1F * histo = (TH1F*)inputFile->FindObjectAny(histoName);
TCanvas * canvas = new TCanvas();
canvas->Draw();
histo->Draw();
histo->GetXaxis()->SetTitle("|d_{0}| [cm]");
histo->GetXaxis()->SetTitleOffset(1.1);
histo->GetXaxis()->SetRangeUser(0., 50.);
double binWidth = histo->GetXaxis()->GetBinWidth(1);
stringstream ss;
ss << binWidth;
histo->GetYaxis()->SetTitle(TString("Efficiency/("+ss.str()+" cm)"));
histo->GetYaxis()->SetTitleOffset(1.1);
histo->GetYaxis()->SetRangeUser(0., 1.1);
if( histoName2 != "" ) {
TH1F * histo2 = (TH1F*)inputFile->FindObjectAny(histoName2);
histo2->Draw("same");
histo2->SetMarkerColor(kRed);
TLegend * legend = new TLegend(0.5, 0.67, 0.88, 0.88);
legend->AddEntry(histo, "cosmicMuons1Leg");
legend->AddEntry(histo2, "MC truth");
// TLegend * legend = canvas->BuildLegend();
legend->Draw("same");
legend->SetFillColor(kWhite);
legend->SetBorderSize(0);
}
canvas->Write();
}
//===========================================================================
void TWave::DrawElementFace()
{
TCanvas *dbCanvas = VisualElementParam->Bitmap->Canvas;
int aw = VisualElementParam->Width;
int ah = VisualElementParam->Height;
dbCanvas->Brush->Color = clWhite;
dbCanvas->Pen ->Color = clBlack;
dbCanvas->Rectangle(0, 0, aw, ah);
// --------- Отрисовка прямоугольника --- (прямокгольник процесса разработки) -----
if (DesignPhase != dpAllreadyTesting) {
if (DesignPhase == dpNotTesting ) {
dbCanvas->Pen ->Color = clRed;
}
if (DesignPhase == dpNeedModified) {
dbCanvas->Pen ->Color = clRed;
dbCanvas->Pen ->Style = psDot;
}
dbCanvas->Rectangle(2, 2, VisualElementParam->Width - 2, VisualElementParam->Height - 2);
dbCanvas->Pen->Color = clBlack;
dbCanvas->Pen->Style = psSolid;
}
// -------------- Отрисовка ресурса если он есть ----------
dbCanvas->Draw((aw - ResourseBitmapFaceElement->Width) / 2, (ah - ResourseBitmapFaceElement->Height) / 2,ResourseBitmapFaceElement);
}
void makePassFail_QCDMC(const string njetlabel= "XX")
{
//dphioption == 0 for dphimin<0.2
vector<string> folders, htbinlabels, dphibins;
folders.push_back("Hist/HT0to500MHT0to7000");
folders.push_back("Hist/HT500to7000MHT0to7000");
//folders.push_back("Hist/HT500to900MHT0to7000");
//folders.push_back("Hist/HT900to1300MHT0to7000");
//folders.push_back("Hist/HT1300to7000MHT0to7000");
htbinlabels.push_back("HT0to500");
htbinlabels.push_back("HT500to900");
htbinlabels.push_back("HT900to1300");
htbinlabels.push_back("HT1300to7000");
dphibins.push_back("0.15");
dphibins.push_back("0.20");
dphibins.push_back("0.25");
dphibins.push_back("0.30");
dphibins.push_back("0.35");
dphibins.push_back("0.40");
OpenFiles();
TCanvas *c = new TCanvas("print");
c->Draw();
c->Print("ratios.eps[");
for (unsigned d = 0; d < dphibins.size(); ++d)
{
for (unsigned i = 0; i < folders.size(); ++i)
{
// for (unsigned j = 0; j < htbinlabels.size(); ++j)
{
string htrange("");
if (i==0) htrange += "0<HT<500 GeV";
else if (i==1) htrange += "500<HT<7000 GeV";
//else if (i==1) htrange += "500<HT<900 GeV";
//else if (i==2) htrange += "900<HT<1300 GeV";
//else if (i==3) htrange += "1300<HT<7000 GeV";
cout << " >>>>>>>>>>> " << htrange << endl;
stringstream title, numeHistName, denoHistName, signalHistName, controlHistName;
//title << htrange << ";#slash{H}_{T};Ratio (r) = Pass(RA2 dPhi cuts) / Fail(#Delta #phi_{min}< 0.2);";
title << "Njet " << njetlabel << ", " << htrange << ", #Delta #Phi _{min}<" << dphibins.at(d);
numeHistName << folders.at(i) << "/signal";
//denoHistName << folders.at(i) << "/fail1";
denoHistName << folders.at(i) << "/fail" << d;
signalHistName << folders.at(i) << "/signalFineBin";
controlHistName << folders.at(i) << "/failFineBin" << d;
makePassFail_QCDMC(numeHistName.str(), denoHistName.str(), title.str(), htbinlabels.at(i), signalHistName.str(), controlHistName.str());
}
}
}
c->Print("ratios.eps]");
}
void comparecfback(TString file1, TString file2, TString histname1, TString histname2, TString histname3,TString sys) {
TFile* ifile1_ = new TFile(Form("%s",file1.Data()), "read");
TFile* ifile2_ = new TFile(Form("%s",file2.Data()), "read");
TH1D* hist1;
TH1D* hist2;
TH1D* hist3;
// if ( (strcmp(sys,"V0LL") == 0) || (strcmp(sys,"V0ALAL") == 0) || (strcmp(sys,"V0LAL") == 0) ) {
// hist1 = (TH1D*)ifile1_->Get(Form("Numcqinv%stpcM%d%s",sys,mult,kT));
// hist2 = (TH1D*)ifile2_->Get(Form("Numcqinv%stpcM%d%s",sys,mult,kT));
// }
// else {
hist1 = (TH1D*)ifile1_->Get(Form("%s",histname1.Data()));
hist2 = (TH1D*)ifile2_->Get(Form("%s",histname2.Data()));
hist3 = (TH1D*)ifile2_->Get(Form("%s",histname3.Data()));
// }
TCanvas *myCan = new TCanvas("asd","asd");
myCan->Draw();
myCan->cd();
hist1->SetMarkerColor(kBlack);
hist2->SetMarkerColor(kRed);
hist3->SetMarkerColor(kBlue);
hist1->SetMarkerStyle(20);
hist2->SetMarkerStyle(20);
hist3->SetMarkerStyle(20);
hist1->SetMarkerSize(1.6);
hist2->SetMarkerSize(1.6);
hist3->SetMarkerSize(1.6);
hist1->SetTitle("");
hist1->GetXaxis()->SetRangeUser(0.,1.0);
hist2->GetXaxis()->SetRangeUser(0.,1.0);
hist3->GetXaxis()->SetRangeUser(0.,1.0);
gStyle->SetOptStat(0);
//hist1->Scale(1./1.026);//1.026, 1.05
hist1->SetMaximum(1.015);
hist1->SetMinimum(0.9425);
hist1->GetXaxis()->SetTitleSize(0.05);
hist1->GetYaxis()->SetTitleSize(0.05);
hist1->Draw("p");
hist2->Draw("psame");
hist3->Draw("psame");
TLatex Tl;
Tl.SetTextAlign(23);
Tl.SetTextSize(0.08);
Tl.SetTextColor(kBlack);
Tl.DrawLatex(0.5,0.995,"p#bar{p}");
Tl.SetTextColor(kRed);
Tl.DrawLatex(0.5,0.980,"p#bar{#Lambda}");
Tl.SetTextColor(kBlue);
Tl.DrawLatex(0.5,0.965,"#bar{p}#Lambda");
myCan->SaveAs(Form("comp%s.eps",sys.Data()));
}
void compare_weights() {
TFile pwhg("POWHEG/ee/ee_ttbarsignalplustau_pwhgbox_m172p5.root");
TFile pwhg_pos("POWHEG/ee/ee_ttbarsignalplustau_pwhgbox_m172p5_posweights.root");
TFile output("comparison_pwhg_weights.root","recreate");
gDirectory->pwd();
std::vector<std::string> histograms;
histograms.push_back("VisGenTTBarpT"); // TTBar system pT
histograms.push_back("VisGenTTBarMass"); // TTBar system Mass
histograms.push_back("VisGenTTBarRapidity"); // TTBar Rapidity
histograms.push_back("VisGenLeptonpT"); // Lepton pT
histograms.push_back("VisGenLeptonEta"); // Lepton Eta
histograms.push_back("VisGenBJetpT"); // BJet pT
histograms.push_back("VisGenBJetRapidity"); // BJet Rapidity
//histograms.push_back("VisGenJetMulti"); // Jet Multiplicity
histograms.push_back("VisGenExtraJetpT"); // Additional Jet pT
histograms.push_back("VisGenTTBar1stJetMass"); // Invariant Mass TTBar+1Jet
for(std::vector<std::string>::iterator hist = histograms.begin(); hist != histograms.end(); hist++) {
std::cout << "Plotting " << (*hist) << "..." << std::endl;
TCanvas *c = new TCanvas(hist->c_str(), hist->c_str());
TH1D *sample_powhegbox = (TH1D*)pwhg.Get(hist->c_str());
TH1D *sample_pwhg_pos = (TH1D*)pwhg_pos.Get(hist->c_str());
sample_pwhg_pos->Scale(1/sample_pwhg_pos->Integral(),"width");
sample_powhegbox->Scale(1/sample_powhegbox->Integral(),"width");
bool rebin = true;
if(rebin) {
Int_t rebinning = 4;
if((*hist) == "VisGenTTBar1stJetMass") { rebinning *= 4; }
if((*hist) == "VisGenTTBarRapidity") { rebinning /= 2; }
if((*hist) == "VisGenTTBarpT") { rebinning *= 10; }
if((*hist) == "VisGenTTBarMass") { rebinning = 20; }
sample_powhegbox->Rebin(rebinning);
sample_pwhg_pos->Rebin(rebinning);
}
sample_powhegbox->Draw();
sample_pwhg_pos->SetLineColor(kRed);
sample_pwhg_pos->Draw("same");
TLegend *leg = new TLegend(0.6,0.6,0.9,.9);
leg->AddEntry(sample_powhegbox,"withnegweights 1","l");
leg->AddEntry(sample_pwhg_pos,"withnegweights 0","l");
leg->Draw();
c->Draw();
c->Write();
}
}
//______________________________________________________________________________
void flipPCB(const char* srcName)
{
// flip PCB in X-direction
// AliMpSlatMotifMap* srcMotifs = new AliMpSlatMotifMap;
// AliMpSlatMotifMap* destMotifs = new AliMpSlatMotifMap;
AliMpDataProcessor mp;
AliMpDataMap* dataMap = mp.CreateDataMap("data");
AliMpDataStreams dataStream(dataMap);
AliMpSt345Reader reader(dataStream);
AliMpPCB* src = reader.ReadPCB(srcName);
if (!src) return;
AliMpSlatMotifMap* destMotifs = reader.MotifMap();
AliMpPCB* dest = flipX(*src,*destMotifs);
if (!dest)
{
cout << "Flipping failed" << endl;
}
TCanvas* csrc = new TCanvas("src","src");
csrc->Draw();
AliMpVPainter* psrc = AliMpVPainter::CreatePainter(src);
psrc->Draw("MZT");
if ( dest )
{
TCanvas* cdest = new TCanvas("dest","dest");
cdest->Draw();
AliMpVPainter* pdest = AliMpVPainter::CreatePainter(dest);
pdest->Draw("MZT");
dest->Save();
}
}
TCanvas * plot (TH1F* histoDataIn, TString legendData, TH1F* histoSimulationIn, TString legendSimulation,
TString & canvasName, Float_t maximum = 0.15, TString xAxisTitle = "#eta",
TString yAxisTitle = "Number of Clusters", TString error = "", bool useLegend = true,
TString text = "", Float_t textX = 0.7, Float_t textY = 0.4, Float_t rebin = 0 ) {
TH1F * histoData = (TH1F*)histoDataIn->Clone();
TH1F * histoSimulation = (TH1F*)histoSimulationIn->Clone();
// histoData->Sumw2();
histoData->Scale(1/(histoData->Integral()));
histoSimulation->Scale(1/(histoSimulation->Integral()));
// Create also the legend and add the histograms
TLegend * legend = new TLegend( 0.55, 0.65, 0.76, 0.82 );
legend->AddEntry( histoData, xAxisTitle );
legend->AddEntry( histoSimulation, yAxisTitle, "F" );
cout << "histoData = " << histoData << endl;
cout << "histoSimulation = " << histoSimulation << endl;
TCanvas * c = new TCanvas( canvasName, canvasName, 1000, 800 );
c->Draw();
histoSimulation->SetMaximum(maximum);
histoSimulation->SetFillColor(kRed);
// histoSimulation->SetLineWidth(0);
histoSimulation->SetLineColor(kRed);
histoSimulation->SetXTitle(xAxisTitle);
histoSimulation->SetYTitle(yAxisTitle);
histoSimulation->SetTitleOffset(1.6,"Y");
histoSimulation->SetTitle();
histoData->SetLineStyle(1);
histoData->SetLineWidth(2.5);
histoSimulation->Draw();
histoData->Draw("same");
legend->SetFillColor(kWhite);
if (useLegend) legend->Draw("same");
if ( text != "" ) {
TPaveText * pt = new TPaveText(textX, textY, textX+0.2, textY+0.17, "NDC" ); // "NDC" option sets coords relative to pad dimensions
pt->SetFillColor(0); // text is black on white
pt->SetTextSize(0.08);
pt->SetBorderSize(0);
pt->SetTextAlign(12);
pt->AddText(text);
pt->Draw("same"); //to draw your text object
}
return c;
};
int main( int argc, char **argv ) {
cout << endl;
cout << " ** QuickHist 0.0.1 beta" << endl;
cout << " ** If you want colors, comment out the gStyle option and recompile." << endl;
cout << " ** Exit with ctrl-c" << endl;
cout << endl;
TApplication theApp("App", &argc, argv);
gROOT->Reset();
gROOT->SetStyle( "Plain" );
// gStyle->SetFillColor( 0 );
double buffer;
vector<double> numbersVector;
while( ! cin.eof() ) {
cin >> buffer;
if( cin.eof() ) break; // break if eof
numbersVector.push_back( buffer );
}
double lowerLimit = 0.;
double upperLimit = 0.;
double lowerLimitBuf = numbersVector[0];
double upperLimitBuf = numbersVector[0];
for( unsigned int i = 0; i < numbersVector.size(); i++ ) {
if( numbersVector[i] < lowerLimitBuf ) lowerLimitBuf = numbersVector[i];
if( numbersVector[i] > upperLimitBuf ) upperLimitBuf = numbersVector[i];
}
// broadening the limits a little bit
upperLimit = upperLimitBuf + .1 * ( upperLimitBuf - lowerLimitBuf );
lowerLimit = lowerLimitBuf - .1 * ( upperLimitBuf - lowerLimitBuf );
TCanvas* canvas = new TCanvas( "QuickHist", "QuickHist" );
canvas->Draw();
TH1D* histogram = new TH1D( "QuickHist", "QuickHist", 1000, lowerLimit, upperLimit );
for( unsigned int i = 0; i < numbersVector.size(); i++ ) histogram->Fill( numbersVector[i] );
histogram->Draw();
theApp.Run( kTRUE );
}
void canvas_read()
{
TFile* f2 = new TSQLFile(dbname, "open", username, userpass);
if (f2->IsZombie()) { delete f2; return; }
f2->ls();
gBenchmark->Start("readSQL");
TCanvas* cc = (TCanvas*) f2->Get("Canvas");
gBenchmark->Show("readSQL");
if (cc!=0) cc->Draw();
delete f2;
}
// Print all canvases in a single PS file
void printCanvasesPS(TString name){
TPostScript * ps = new TPostScript(name,112);
TIter iter(gROOT->GetListOfCanvases());
TCanvas *c;
while( (c = (TCanvas *)iter()) )
{
cout << "Printing " << c->GetName() << endl;
ps->NewPage();
c->Draw();
}
cout << " File " << name << " was created" << endl;
ps->Close();
}
void fireball(){
//set-up
gROOT->Macro("init.C");
setStyle();
//ake the plot
TCanvas *cFire = new TCanvas("cFire", "cFire", 500, 500);
cFire->Draw();
ellipises();
arrows1();
}
void tempTime(){
gROOT->Macro("init.C");
setStyle();
//make the plot
TCanvas *cNew = new TCanvas("cNew", "cNew", 500, 500);
drawFrame(-3., 130., 65., 279., "#tau [fm]", "T [MeV]");
cNew->Draw();
drawQGP();
drawMix();
drawHHG();
}
//===========================================================================
void TExtrapoljator::DrawElementFace()
{
TCanvas *dbCanvas = VisualElementParam->Bitmap->Canvas;
int aw = VisualElementParam->Width;
int ah = VisualElementParam->Height;
dbCanvas->Brush->Color = clWhite;
dbCanvas->Pen ->Color = clBlack;
dbCanvas->Rectangle(0, 0, aw, ah);
// -------------- Отрисовка ресурса если он есть ----------
dbCanvas->Draw((aw - ResourseBitmapFaceElement->Width) / 2, (ah - ResourseBitmapFaceElement->Height) / 2,ResourseBitmapFaceElement);
}
void CalcQCDNormFactor() {
//TFile *f = TFile::Open("results/Plotter_out_2016_05_29_22h19m32.root"); // 76X Silver JSON
TFile *f = TFile::Open("results/Plotter_out_2016_06_21_15h27m59.root"); // 76X Golden JSON
TCanvas *c = (TCanvas*)f->Get("NJet/PlotSamples_Pass5Cuts_PassHLT");
THStack *s = (THStack*)c->GetListOfPrimitives()->At(1);
TH1D *data = (TH1D*)c->GetListOfPrimitives()->At(3);
double MC_integral = 0;
double QCD_count = 0;
for (int i=s->GetHists()->GetEntries()-1; i>=0; --i) {
TH1D* h = (TH1D*)s->GetHists()->At(i);
if (i==s->GetHists()->GetEntries()-1) QCD_count = h->Integral();
std::cout<<h->GetName()<<" "<<h->Integral()<<std::endl;
MC_integral += h->Integral();
}
double data_QCD_estimate = data->Integral()- (MC_integral-QCD_count);
double QCD_scale = data_QCD_estimate/QCD_count;
std::cout<<"MC: "<<MC_integral<<std::endl;
std::cout<<"Data: "<<data->Integral()<<std::endl;
std::cout<<"MC (QCD only): "<<QCD_count<<std::endl;
std::cout<<"Data (QCD only est): "<<data_QCD_estimate<<std::endl;
std::cout<<"QCD Scale: "<<QCD_scale<<std::endl;
TH1D* qcd = (TH1D*)s->GetHists()->At(s->GetHists()->GetEntries()-1);
qcd->Scale(QCD_scale);
c->Draw();
//TCanvas *c = (TCanvas*)f->Get("NJet/PlotSamples_Pass5Cuts_PassHLT_Ratio");
//
//TH1D* ratio = (TH1D*)((TVirtualPad*)c->cd(2))->GetListOfPrimitives()->At(0);
//TF1* fit = new TF1("fit","pol1", 400, 2000);
//ratio->Fit("fit","RBQ0");
//fit->SetLineColor(2);
//fit->SetLineWidth(1);
//TF1* fit_up = (TF1*)fit->Clone("fit_up");
//TF1* fit_down = (TF1*)fit->Clone("fit_down");
//fit_up ->SetParameter(0,fit->GetParameter(0)+fit->GetParError(0)*1);
//fit_down->SetParameter(0,fit->GetParameter(0)-fit->GetParError(0)*1);
//fit_up ->SetParameter(1,fit->GetParameter(1)+fit->GetParError(1)*1);
//fit_down->SetParameter(1,fit->GetParameter(1)-fit->GetParError(1)*1);
//fit_up ->SetLineColor(4); fit_up ->Draw("SAME");
//fit_down->SetLineColor(4); fit_down->Draw("SAME");
//fit->Draw("SAME");
//
//std::cout<<"Fit result:"<<std::endl;
//std::cout<<"p0: "<<fit->GetParameter(0)<<" +- "<<fit->GetParError(0)*1<<std::endl;
//std::cout<<"p1: "<<fit->GetParameter(1)<<" +- "<<fit->GetParError(1)*1<<std::endl;
//f->Close();
}
void NoiseMatrixLayerGraphs(TString myFileName, int nDDU, int nCham, int nLayer){
//gSystem->cd("images/NoiseMatrix");
//gSystem->cd(myFileName);
int nElements = 12;
TH2F *noiseGraph;
TCanvas *noiseCanv;
for (int i=0; i< nDDU; ++i){
int idArray[9];
GetChamberIDs(idArray);
// Float_t BoundsMinArray[108];
// Float_t BoundsMaxArray[108];
Float_t BoundsChamMin[9];
Float_t BoundsChamMax[9];
//GetNoiseBounds(BoundsMinArray, BoundsMaxArray, BoundsChamMin, BoundsChamMax);
GetNoiseBounds(BoundsChamMin, BoundsChamMax, nCham);
for (int j=0; j<nCham; ++j){
TString ChamDirecName = Form("Chamber_%d_Layer_Graphs", idArray[j]);
makeDirectory(ChamDirecName);
gSystem->cd(ChamDirecName);
for (int l=0; l<nLayer; ++l){
TString NoiseCanvName = Form ("Noise_Matrix_Elements_Chamber_%d_Layer_%d",idArray[j],l);
noiseCanv = new TCanvas(NoiseCanvName, NoiseCanvName,200,10,1200,800);
noiseCanv->Divide(4,3);
noiseCanv->Draw();
for (int k=0; k<nElements; ++k){
TString ElementGraphName = Form("Element_%d",k);
noiseGraph = new TH2F(ElementGraphName,ElementGraphName,80,0,80,20,BoundsChamMin[j],BoundsChamMax[j]);
noiseCanv->cd(k+1);
noiseGraph->Draw();
TString GraphForm = Form("elem[%d]:strip", k);
TString GraphCut = Form("cham==%d&&layer==%d", j, l);
Calibration->Project(ElementGraphName, GraphForm, GraphCut);
}//nElements
noiseCanv->Update();
PrintAsGif(noiseCanv, NoiseCanvName);
}//nLayer
gSystem->cd("../");
}//nCham
}//nDDU
gSystem->cd("../../../");
directoryCheck();
}//NoiseMatrixGraphs
void collision(){
//set-up
gROOT->Macro("init.C");
setStyle();
//make the plot
TCanvas *cColl = new TCanvas("cColl", "cColl", 1000, 500);
cColl->Divide(2,1);
cColl->Draw();
//drawFrame(0., 0., 1., 1., "", "");
cColl->cd(1);
ellipises();
arrows1();
cColl->cd(2);
circles();
arrows2();
}
void det_canvas_selected(int col,char *title,int cols_max=3)
{
char *detectors[]={"4X","4U","6V"};
TCanvas *cone = gROOT->FindObject("cone");
if( cone==NULL )
{
cone = new TCanvas("cone","cone");
cone->Divide(cols_max,sizeof(detectors)/sizeof(*detectors));
}
for( int i=0; i<sizeof(detectors)/sizeof(*detectors); i++ )
{
cone->cd(col+i*cols_max);
TH1F *h = draw_detector(detectors[i],card_channel);
h->SetTitle(title);
}
cone->cd(0);
cone->Draw();
}
void binShiftSchem(){
//set-up
gROOT->Macro("init.C");
setStyle();
//make the plot
TCanvas *cBinShift = new TCanvas("cBinShift", "cBinShift", 1000, 500);
cBinShift->Divide(2,1);
cBinShift->Draw();
cBinShift->cd(1);
histo1();
box1();
ellipse1();
cBinShift->cd(2);
histo2();
box2();
ellipse2();
}
void
ImageStimulus::OnPaint( const DrawContext& inDC )
{
#ifdef __BORLANDC__
Graphics::TBitmap* pBuffer = BeingPresented() ?
mpImageBufferHighlighted :
mpImageBufferNormal;
if( pBuffer != NULL )
{
TCanvas* pCanvas = new TCanvas;
try
{
pBuffer->Transparent = ( mRenderingMode == GUI::RenderingMode::Transparent );
pBuffer->TransparentMode = tmAuto;
pCanvas->Handle = inDC.handle;
pCanvas->Draw( inDC.rect.left, inDC.rect.top, pBuffer );
}
__finally
{
delete pCanvas;
}
}
top::container1DStack StackTest(){
using namespace top;
using namespace std;
container1DStack stack;
vector<float> bins;
for(int i=0;i<100;i++) bins << i;
stack.setDataLegend("data");
histo1D cont(bins,"contr","x","y");
histo1D cont2=cont;
for(float i=0;i<1000;i++) cont.fill(pow(i/100,2));
stack.push_back(cont, "contr1", kRed, 1);
cont2=cont2+cont;
cont.clear();
for(float i=0;i<1000;i++) cont.fill(pow(i/200,3));
stack.push_back(cont, "contr2", kBlue, 1);
cont2=cont2+cont;
cont.clear();
for(float i=0;i<1000;i++) cont.fill(pow(i/300,4));
stack.push_back(cont, "contr3", kGreen, 1);
cont2=cont2+cont;
cont.clear();
stack.push_back(cont2, "data", kBlack, 1);
return stack;
TCanvas * c = stack.makeTCanvas();
c->Draw();
}
void draw(const std::string& title, const std::vector<TH1D*>& histograms,
const std::string& filename)
{
if (histograms.empty() ||
histograms.size() > (sizeof(hist_style)/sizeof(hist_style[0])))
return;
TCanvas* canvas = new TCanvas("canvas", title.c_str(), 800, 600);
canvas->cd(1)->SetTitle(title.c_str());
histograms[0]->GetYaxis()->SetRangeUser(0., 1.);
for (int i = 0; i < histograms.size(); i++) {
histograms[i]->SetLineWidth(3);
histograms[i]->SetLineColor(hist_style[i].linecolor);
histograms[i]->SetFillColor(hist_style[i].fillcolor);
histograms[i]->SetFillStyle(hist_style[i].fillstyle);
histograms[i]->Draw(i == 0 ? "" : "same");
}
TLegend *legend = new TLegend(0.4,0.7,0.9,0.9);
legend->SetFillColor(0);
for (int i = 0; i < histograms.size(); i++) {
legend->AddEntry(histograms[i],
TString::Format("%s (%3.3fs)", histograms[i]->GetTitle(), histograms[i]->GetMean()),
"f");
}
legend->Draw();
histograms[0]->SetTitle(title.c_str());
histograms[0]->GetXaxis()->SetTitle("run-time / s");
canvas->Draw();
canvas->SaveAs(TString(filename) + ".pdf");
canvas->SaveAs(TString(filename) + ".png");
delete legend;
delete canvas;
}
//void plot_Asymptotic(string outputname)
//void plot_Asymptotic()
TGraphAsymmErrors * plot_Asymptotic(TString dir_path ,TGraphAsymmErrors *grmedian_cls )
//void plot_Asymptotic( TGraphAsymmErrors *grmedian_cls )
{
string outputname = "counting";
bool useNewStyle = true;
if (useNewStyle) setFPStyle();
// gROOT->LoadMacro("CMS_lumi.C");
TFile *fFREQ[nXm];
TTree *t[nXm];
// int Xmass[nXm]={800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000};
int Xmass[nXm]={800,1000,1200,1400,1600,1800,2000,2500,3000,3500,4000};
//int Xmass[nXm]={800,900,1100,1400,1700,1900};
vector<double> v_mh, v_median, v_68l, v_68h, v_95l, v_95h, v_obs;
for(int n=0;n<nXm;n++)
{
char limitfile[200];
// if(outputname.find("counting")!= std::string::npos) sprintf(limitfile,"Datacards_txt_files/YuHsiang_DY_h_ele_1st_pT_cut_115/higgsCombineTest.Asymptotic.mH%d.root",Xmass[n]);
if(outputname.find("counting")!= std::string::npos) sprintf(limitfile,"higgsCombineTest.Asymptotic.mH%d.root",Xmass[n]);
// const string dirLimitFile = "Datacards_txt_files/YuHsiang_DY_h_ele_1st_pT_cut_115/";
TString LimitFile = limitfile;
LimitFile = dir_path + LimitFile;
// LimitFile = "Datacards_txt_files/YuHsiang_DY_h_ele_1st_pT_cut_115/" + LimitFile;
// limitfile = "Datacards_txt_files/YuHsiang_DY_h_ele_1st_pT_cut_115/" + limitfile;
// limitfile = dirLimitFile + limitfile;
// fFREQ[n] = new TFile(limitfile, "READ");
fFREQ[n] = new TFile( LimitFile , "READ");
cout<<" Read limit file: "<<limitfile<<endl;
t[n] = (TTree*)fFREQ[n]->Get("limit");
double mh, limit;
float quant;
t[n]->SetBranchAddress("mh", &mh);
t[n]->SetBranchAddress("limit", &limit);
t[n]->SetBranchAddress("quantileExpected", &quant);
//int iMH = 0;
//while (iMH < n) {
for (int i = 0; i < t[n]->GetEntries(); i++) {
t[n]->GetEntry(i);
cout<<" quant : "<<quant<<" limit : " <<limit<<endl;
/// Map: mh --> observed, 95low, 68low, expected, 68hi, 95hi, xsec
if (quant > -1.01 && quant < -0.99) {
v_obs.push_back(limit);
}
else if (quant > 0.02 && quant < 0.03) {
v_95l.push_back(limit);
}
else if (quant > 0.15 && quant < 0.17) {
v_68l.push_back(limit);
}
else if (quant > 0.49 && quant < 0.51) {
v_median.push_back(limit);
v_mh.push_back(mh);
}
else if (quant > 0.83 && quant < 0.85) {
v_68h.push_back(limit);
}
else if (quant > 0.965 && quant < 0.98) {
v_95h.push_back(limit);
}
else {
cout << "Error! Quantile = " << quant << endl;
}
}
// iMH++;
// }//end while loop
}//file loop
// string xsect_file_th = dirXSect + "13TeV_xsec_Zhllbb.txt";
string xsect_file_th = dirXSect + "13TeV_xsec_Zh.txt";
ifstream xsect_file(xsect_file_th.c_str(), ios::in);
if (! xsect_file.is_open()) {
cout << "Failed to open file with xsections: " << xsect_file_th << endl;
}
float mH, CS;
vector<float> v_mhxs, v_xs, v_toterrh, v_toterrl;
while (xsect_file.good()) {
xsect_file >> mH >> CS;
v_mhxs.push_back(mH);
v_xs.push_back(CS);//*BRZZ2l2q (multyply by BRZZ2l2q only if exp rates in cards are for process X->ZZ->2l2q !)
//unavailable theory errors for graviton
float tot_err_p = 0.0;
float tot_err_m = 0.0;
v_toterrh.push_back(1.0 + (tot_err_p));
v_toterrl.push_back(1.0 - (tot_err_m));
}
cout << "Size of theory xsects vector" << v_mhxs.size() << endl;
xsect_file.close();
///////////////////////////
// END THEORY INPUT PART //
///////////////////////////
/// Here we multiply the limits in terms of signal strength by the cross-section.
/// There are also some hooks to exclude sick mass points.
double mass[nXm], obs_lim_cls[nXm];
double medianD[nXm];
double up68err[nXm], down68err[nXm], up95err[nXm], down95err[nXm];
double xs[nXm], xs_uperr[nXm], xs_downerr[nXm];
double xs10[nXm], xs10_uperr[nXm], xs10_downerr[nXm];
int nMassEff = 0;
for (int im = 0; im < nXm; im++) {
double fl_xs = double(v_xs.at(im)); //*1000.0
double fl_xs10 = 0;//double(v_xs10.at(ind)); //*1000.0
fl_xs = (fl_xs);
fl_xs10 = (fl_xs10);
mass[nMassEff] = Xmass[im];
/// This is the part where we multiply the limits in terms of signal strength
/// by the cross-section, in order to have limits in picobarns.
//std::cerr << mass[nMassEff] << ":" << v_obs.at(im) << std::endl;
obs_lim_cls[nMassEff] = v_obs.at(im) * fl_xs;
medianD[nMassEff] = v_median.at(im) * fl_xs;
up68err[nMassEff] = (v_68h.at(im) - v_median.at(im)) * fl_xs;
down68err[nMassEff] = (v_median.at(im) - v_68l.at(im)) * fl_xs;
//scale factor 100 for making the xsect visible
xs[nMassEff] = fl_xs; //*100.0;
xs_uperr[nMassEff] = double(v_toterrh.at(im)) * xs[nMassEff] - xs[nMassEff];
xs_downerr[nMassEff] = xs[nMassEff] - double(v_toterrl.at(im)) * xs[nMassEff];
xs10[nMassEff] = fl_xs10; //*100.0;
xs10_uperr[nMassEff] = double(v_toterrh.at(im)) * xs10[nMassEff] - xs10[nMassEff];
xs10_downerr[nMassEff] = xs10[nMassEff] - double(v_toterrl.at(im)) * xs10[nMassEff];
up95err[nMassEff] = (v_95h.at(im) - v_median.at(im)) * fl_xs;
down95err[nMassEff] = (v_median.at(im) - v_95l.at(im)) * fl_xs;
cout<<"fl_xs:"<<fl_xs<<" v_obs"<<v_obs.at(im)<<" obs_lim_cls: "<<obs_lim_cls[nMassEff] <<medianD[nMassEff] <<" mass: "<<mass[nMassEff]<<endl;
nMassEff++;
}//end loop over im (mass points)
/// The TGraphs themselves.
//cout<<"Working on TGraph"<<endl;
TGraphAsymmErrors *grobslim_cls = new TGraphAsymmErrors(nMassEff, mass, obs_lim_cls);
grobslim_cls->SetName("LimitObservedCLs");
// TGraphAsymmErrors *grmedian_cls = new TGraphAsymmErrors(nMassEff, mass, medianD);
grmedian_cls = new TGraphAsymmErrors(nMassEff, mass, medianD);
grmedian_cls->SetName("LimitExpectedCLs");
TGraphAsymmErrors *gr68_cls = new TGraphAsymmErrors(nMassEff, mass, medianD, 0, 0, down68err, up68err);
gr68_cls->SetName("Limit68CLs");
TGraphAsymmErrors *gr95_cls = new TGraphAsymmErrors(nMassEff, mass, medianD, 0, 0, down95err, up95err);
gr95_cls->SetName("Limit95CLs");
// TGraphAsymmErrors *grthSM=new TGraphAsymmErrors(nMassEff1,mass1,xs,0,0,0,0);//xs_downerr,xs_uperr);
TGraph *grthSM=new TGraph(nMassEff,mass,xs);//xs_downerr,xs_uperr);
/// For the time being we have to do it like this, given that
/// the cards and the limits were made with the old, wrong xsects.
// TGraph *grthSM10 = new TGraph(35);
// grthSM10->SetPoint(0, 600, 7.1185E-03);
// grthSM10->SetPoint(1, 650, 4.1893E-03);
// grthSM10->SetPoint(2, 700, 2.5592E-03);
// grthSM10->SetPoint(3, 750, 1.6182E-03);
// grthSM10->SetPoint(4, 800, 1.0564E-03);
// grthSM10->SetPoint(5, 850, 7.0295E-04);
// grthSM10->SetPoint(6, 900, 4.7877E-04);
// grthSM10->SetPoint(7, 950, 3.3017E-04);
// grthSM10->SetPoint(8, 1000, 2.3212E-04);
// grthSM10->SetPoint(9, 1050, 1.6574E-04);
// grthSM10->SetPoint(10, 1100, 1.1917E-04);
// grthSM10->SetPoint(11, 1150, 8.6629E-05);
// grthSM10->SetPoint(12, 1200, 6.3987E-05);
// grthSM10->SetPoint(13, 1250, 4.7353E-05);
// grthSM10->SetPoint(14, 1300, 3.5511E-05);
// grthSM10->SetPoint(15, 1350, 2.6631E-05);
// grthSM10->SetPoint(16, 1400, 2.0199E-05);
// grthSM10->SetPoint(17, 1450, 1.5333E-05);
// grthSM10->SetPoint(18, 1500, 1.1758E-05);
// grthSM10->SetPoint(19, 1550, 9.0363E-06);
// grthSM10->SetPoint(20, 1600, 6.9870E-06);
// grthSM10->SetPoint(21, 1650, 5.4316E-06);
// grthSM10->SetPoint(22, 1700, 4.2252E-06);
// grthSM10->SetPoint(23, 1750, 3.3172E-06);
// grthSM10->SetPoint(24, 1800, 2.6083E-06);
// grthSM10->SetPoint(25, 1850, 2.0499E-06);
// grthSM10->SetPoint(26, 1900, 1.6186E-06);
// grthSM10->SetPoint(27, 1950, 1.2799E-06);
// grthSM10->SetPoint(28, 2000, 1.0205E-06);
// grthSM10->SetPoint(29, 2050, 8.0867E-07);
// grthSM10->SetPoint(30, 2100, 6.4555E-07);
// grthSM10->SetPoint(31, 2150, 5.1755E-07);
// grthSM10->SetPoint(32, 2200, 4.1408E-07);
// grthSM10->SetPoint(33, 2250, 3.3170E-07);
// grthSM10->SetPoint(34, 2300, 2.6637E-07);
// grthSM10->SetPoint(35, 2350, 2.1366E-07);
// grthSM10->SetPoint(36, 2400, 1.7285E-07);
// grthSM10->SetPoint(37, 2450, 1.3896E-07);
// grthSM10->SetPoint(38, 2500, 1.1238E-07);
// if (!isZZChannel) {
// grthSM10->SetPoint(0, 800, 2.0523E-03);
// grthSM10->SetPoint(1, 850, 1.3726E-03);
// grthSM10->SetPoint(2, 900, 9.3786E-04);
// grthSM10->SetPoint(3, 950, 6.4928E-04);
// grthSM10->SetPoint(4, 1000, 4.5618E-04);
// grthSM10->SetPoint(5, 1050, 3.2571E-04);
// grthSM10->SetPoint(6, 1100, 2.3543E-04);
// grthSM10->SetPoint(7, 1150, 1.7157E-04);
// grthSM10->SetPoint(8, 1200, 1.2611E-04);
// grthSM10->SetPoint(9, 1250, 9.3461E-05);
// grthSM10->SetPoint(10, 1300, 6.9899E-05);
// grthSM10->SetPoint(11, 1350, 5.2749E-05);
// grthSM10->SetPoint(12, 1400, 4.0048E-05);
// grthSM10->SetPoint(13, 1450, 3.0363E-05);
// grthSM10->SetPoint(14, 1500, 2.3324E-05);
// grthSM10->SetPoint(15, 1550, 1.8008E-05);
// grthSM10->SetPoint(16, 1600, 1.3876E-05);
// grthSM10->SetPoint(17, 1650, 1.0812E-05);
// grthSM10->SetPoint(18, 1700, 8.4385E-06);
// grthSM10->SetPoint(19, 1750, 6.5972E-06);
// grthSM10->SetPoint(20, 1800, 5.1608E-06);
// grthSM10->SetPoint(21, 1850, 4.0824E-06);
// grthSM10->SetPoint(22, 1900, 3.2292E-06);
// grthSM10->SetPoint(23, 1950, 2.5502E-06);
// grthSM10->SetPoint(24, 2000, 2.0281E-06);
// grthSM10->SetPoint(25, 2050, 1.6179E-06);
// grthSM10->SetPoint(26, 2100, 1.2893E-06);
// grthSM10->SetPoint(27, 2150, 1.0313E-06);
// grthSM10->SetPoint(28, 2200, 8.2293E-07);
// grthSM10->SetPoint(29, 2250, 6.6187E-07);
// grthSM10->SetPoint(30, 2300, 5.3108E-07);
// grthSM10->SetPoint(31, 2350, 4.2755E-07);
// grthSM10->SetPoint(32, 2400, 3.4315E-07);
// grthSM10->SetPoint(33, 2450, 2.7803E-07);
// grthSM10->SetPoint(34, 2500, 2.2432E-07);
// }
grthSM->SetName("SMXSection");
// TGraphAsymmErrors *grthSM10=new TGraphAsymmErrors(nMassEff1,mass1,xs10,0,0,0,0);
TGraph *grthSM10=new TGraph(nMassEff,mass,xs10);
// TGraph *grthSM = new TGraph(35);
// grthSM->SetPoint(0, 600, 4.4387E-02);
// grthSM->SetPoint(1, 650, 2.6088E-02);
// grthSM->SetPoint(2, 700, 1.5907E-02);
// grthSM->SetPoint(3, 750, 1.0045E-02);
// grthSM->SetPoint(4, 800, 6.5582E-03);
// grthSM->SetPoint(5, 850, 4.3560E-03);
// grthSM->SetPoint(6, 900, 2.9701E-03);
// grthSM->SetPoint(7, 950, 2.0553E-03);
// grthSM->SetPoint(8, 1000, 1.4410E-03);
// grthSM->SetPoint(9, 1050, 1.0283E-03);
// grthSM->SetPoint(10, 1100, 7.3979E-04);
// grthSM->SetPoint(11, 1150, 5.4086E-04);
// grthSM->SetPoint(12, 1200, 3.9717E-04);
// grthSM->SetPoint(13, 1250, 2.9347E-04);
// grthSM->SetPoint(14, 1300, 2.1957E-04);
// grthSM->SetPoint(15, 1350, 1.6507E-04);
// grthSM->SetPoint(16, 1400, 1.2514E-04);
// grthSM->SetPoint(17, 1450, 9.5937E-05);
// grthSM->SetPoint(18, 1500, 7.3300E-05);
// grthSM->SetPoint(19, 1550, 5.6376E-05);
// grthSM->SetPoint(20, 1600, 4.3715E-05);
// grthSM->SetPoint(21, 1650, 3.3834E-05);
// grthSM->SetPoint(22, 1700, 2.6389E-05);
// grthSM->SetPoint(23, 1750, 2.0691E-05);
// grthSM->SetPoint(24, 1800, 1.6259E-05);
// grthSM->SetPoint(25, 1850, 1.2809E-05);
// grthSM->SetPoint(26, 1900, 1.0131E-05);
// grthSM->SetPoint(27, 1950, 8.0235E-06);
// grthSM->SetPoint(28, 2000, 6.3711E-06);
// grthSM->SetPoint(29, 2050, 5.0725E-06);
// grthSM->SetPoint(30, 2100, 4.0513E-06);
// grthSM->SetPoint(31, 2150, 3.2469E-06);
// grthSM->SetPoint(32, 2200, 2.6006E-06);
// grthSM->SetPoint(33, 2250, 2.0899E-06);
// grthSM->SetPoint(34, 2300, 1.6810E-06);
// grthSM->SetPoint(35, 2350, 1.3586E-06);
// grthSM->SetPoint(36, 2400, 1.0964E-06);
// grthSM->SetPoint(37, 2450, 8.8416E-07);
// grthSM->SetPoint(38, 2500, 7.1662E-07);
// if (!isZZChannel) {
// grthSM->SetPoint(0, 800, 1.2713E-02);
// grthSM->SetPoint(1, 850, 8.5015E-03);
// grthSM->SetPoint(2, 900, 5.8030E-03);
// grthSM->SetPoint(3, 950, 4.0261E-03);
// grthSM->SetPoint(4, 1000, 2.8289E-03);
// grthSM->SetPoint(5, 1050, 2.0214E-03);
// grthSM->SetPoint(6, 1100, 1.4580E-03);
// grthSM->SetPoint(7, 1150, 1.0625E-03);
// grthSM->SetPoint(8, 1200, 7.8079E-04);
// grthSM->SetPoint(9, 1250, 5.7987E-04);
// grthSM->SetPoint(10, 1300, 4.3448E-04);
// grthSM->SetPoint(11, 1350, 3.2719E-04);
// grthSM->SetPoint(12, 1400, 2.4778E-04);
// grthSM->SetPoint(13, 1450, 1.8896E-04);
// grthSM->SetPoint(14, 1500, 1.4543E-04);
// grthSM->SetPoint(15, 1550, 1.1200E-04);
// grthSM->SetPoint(16, 1600, 8.6492E-05);
// grthSM->SetPoint(17, 1650, 6.7405E-05);
// grthSM->SetPoint(18, 1700, 5.2283E-05);
// grthSM->SetPoint(19, 1750, 4.1121E-05);
// grthSM->SetPoint(20, 1800, 3.2378E-05);
// grthSM->SetPoint(21, 1850, 2.5507E-05);
// grthSM->SetPoint(22, 1900, 2.0215E-05);
// grthSM->SetPoint(23, 1950, 1.6020E-05);
// grthSM->SetPoint(24, 2000, 1.2714E-05);
// grthSM->SetPoint(25, 2050, 1.0133E-05);
// grthSM->SetPoint(26, 2100, 8.0785E-06);
// grthSM->SetPoint(27, 2150, 6.4583E-06);
// grthSM->SetPoint(28, 2200, 5.1774E-06);
// grthSM->SetPoint(29, 2250, 4.1620E-06);
// grthSM->SetPoint(30, 2300, 3.3440E-06);
// grthSM->SetPoint(31, 2350, 2.7018E-06);
// grthSM->SetPoint(32, 2400, 2.1753E-06);
// grthSM->SetPoint(33, 2450, 1.7626E-06);
// grthSM->SetPoint(34, 2500, 1.4225E-06);
// }
grthSM10->SetName("SMXSection_2nd");
// double fr_left = 590.0, fr_down = 1E-5, fr_right = 2000.0, fr_up = 0.5;
// double fr_left = 590.0, fr_down = 5E-5, fr_right = 2000.0, fr_up = 5;
double fr_left = 500.0, fr_down = 5E-7, fr_right = 4500.0, fr_up = 5E-1;
TCanvas *cMCMC = new TCanvas("c_lim_Asymptotic", "canvas with limits for Asymptotic CLs", 630, 600);
cMCMC->cd();
cMCMC->SetGridx(1);
cMCMC->SetGridy(1);
// draw a frame to define the range
TH1F *hr = cMCMC->DrawFrame(fr_left, fr_down, fr_right, fr_up, "");
TString VV = "ZH";
hr->SetXTitle("M_{X} [GeV]");
hr->SetYTitle("#sigma_{95%} [pb]"); // #rightarrow 2l2q
gr95_cls->SetFillColor(kYellow);
gr95_cls->SetFillStyle(1001);//solid
gr95_cls->SetLineStyle(kDashed);
gr95_cls->SetLineWidth(3);
gr95_cls->GetXaxis()->SetTitle("M_{V'} [GeV]");
gr95_cls->GetYaxis()->SetTitle("#sigma_{95%} #times BR(V' #rightarrow " + VV + ") [pb]"); // #rightarrow 2l2q
gr95_cls->GetXaxis()->SetRangeUser(fr_left, fr_right);
// gr95_cls->Draw("3");
gr68_cls->SetFillColor(kGreen);
gr68_cls->SetFillStyle(1001);//solid
gr68_cls->SetLineStyle(kDashed);
gr68_cls->SetLineWidth(3);
// gr68_cls->Draw("3same");
grmedian_cls->GetXaxis()->SetTitle("M_{V'} [GeV]");
grmedian_cls->GetYaxis()->SetTitle("#sigma_{95%} #times BR(V' #rightarrow " + VV + ") [pb]"); // #rightarrow 2l2q
grmedian_cls->SetMarkerStyle(24);//25=hollow squre
grmedian_cls->SetMarkerColor(kBlack);
grmedian_cls->SetLineStyle(2);
grmedian_cls->SetLineWidth(3);
grmedian_cls->SetMinimum(0.0);
grmedian_cls->SetMaximum(8.0);
grobslim_cls->SetMarkerColor(kBlack);
grobslim_cls->SetMarkerStyle(21);//24=hollow circle
grobslim_cls->SetMarkerSize(1.0);
grobslim_cls->SetLineStyle(1);
grobslim_cls->SetLineWidth(3);
grthSM->SetLineColor(kRed);
grthSM->SetLineWidth(2);
grthSM->SetLineStyle(kSolid);
grthSM->SetFillColor(kRed);
grthSM->SetFillStyle(3344);
grthSM10->SetLineColor(kRed);
grthSM10->SetLineWidth(2);
grthSM10->SetLineStyle(1);
grthSM10->SetLineStyle(kDashed);
grthSM10->SetFillColor(kRed);
grthSM10->SetFillStyle(3344);
// grthSM->Draw("L3");
grmedian_cls->Draw("L");
// grobslim_cls->Draw("LP");
/*
TFile *fUnMPlus=new TFile("AsymptoticCLs_UnmatchedPlus_TGraph.root","READ");
TGraph *grobs_ump=(TGraph*)fUnMPlus->Get("LimitObservedCLs");
TGraph *grmedian_ump=(TGraph*)fUnMPlus->Get("LimitExpectedCLs");
grobs_ump->SetName("LimitObs_UnmatchedPlus");
grmedian_ump->SetName("LimitExp_UnmatchedPlus");
grobs_ump->SetMarkerColor(kBlue);
grobs_ump->SetLineColor(kBlue);
grobs_ump->SetMarkerStyle(25);
grmedian_ump->SetMarkerColor(kBlue);
grmedian_ump->SetLineColor(kBlue);
grmedian_ump->SetMarkerStyle(25);
grobs_ump->Draw("P");
grmedian_ump->Draw("L");
*/
//draw grid on top of limits
gStyle->SetOptStat(0);
TH1D* postGrid = new TH1D("postGrid", "", 1, fr_left, fr_right);
postGrid->GetYaxis()->SetRangeUser(fr_down, fr_up);
postGrid->Draw("AXIGSAME");
//more graphics
TLegend *leg = new TLegend(.20, .2, .75, .35);
// TLegend *leg = new TLegend(.35,.71,.90,.90);
leg->SetFillColor(0);
leg->SetShadowColor(0);
leg->SetTextFont(42);
leg->SetTextSize(0.03);
// leg->SetBorderMode(0);
leg->AddEntry(grmedian_cls, "CL_{S} Expected limit central value", "L");
// leg->AddEntry(grobslim_cls, "Frequentist CL_{S} Observed", "LP");
// leg->AddEntry(gr68_cls, "Frequentist CL_{S} Expected #pm 1#sigma", "LF");
// leg->AddEntry(gr95_cls, "Frequentist CL_{S} Expected #pm 2#sigma", "LF");
// leg->AddEntry(grthSM, "#sigma_{TH}", "L");
// leg->AddEntry(grthSM, "#sigma_{TH} x BR(Z' #rightarrow " + VV + "), #tilde{k}=0.50", "L"); // #rightarrow 2l2q
// leg->AddEntry(grthSM10, "#sigma_{TH} x BR(Z' #rightarrow " + VV + "), #tilde{k}=0.20", "L"); // #rightarrow 2l2q
leg->Draw();
TLatex * latex = new TLatex();
latex->SetNDC();
latex->SetTextSize(0.04);
latex->SetTextAlign(31);
latex->SetTextAlign(11); // align left
// latex->DrawLatex(0.18, 0.96, "CMS preliminary 2012");
// latex->DrawLatex(0.60, 0.96, Form("%.1f fb^{-1} at #sqrt{s} = 8 TeV", intLumi));
latex->DrawLatex(0.18, 0.96, "CMS preliminary 2015");
latex->DrawLatex(0.60, 0.96, Form("%.1f fb^{-1} at #sqrt{s} = 13 TeV", intLumi));
// cMCMC->RedrawAxis("");
gPad->RedrawAxis("");
// hr->GetYaxis()->DrawClone();
cMCMC->Update();
char fnam[50];
//string outputname="shape2d";
//string outputname="shape1d";
//string outputname="counting";
sprintf(fnam, "XZHllbb_%s_Asymptotic.root",outputname.data() );
// cMCMC->SaveAs(fnam);
//sprintf(fnam, "XZHllbb_%s_Asymptotic.eps", outputname.data());
//cMCMC->SaveAs(fnam);
sprintf(fnam, "XZHllbb_%s_Asymptotic.png", outputname.data());
// cMCMC->SaveAs(fnam);
//sprintf(fnam, "XZHllbb_%s_Asymptotic.pdf", outputname.data());
//cMCMC->SaveAs(fnam);
gPad->SetLogy();
//sprintf(fnam, "XZHllbb_%s_Asymptotic_log.eps", outputname.data());
//cMCMC->SaveAs(fnam);
sprintf(fnam, "XZHllbb_%s_Asymptotic_log.png", outputname.data());
// cMCMC->SaveAs(fnam);
//sprintf(fnam, "XZHllbb_%s_Asymptotic_log.pdf", outputname.data());
//cMCMC->SaveAs(fnam);
cMCMC->Draw();
return grmedian_cls;
}//end main
void test()
{
style();
setLogBins(nlogfullimassbins,logfullimassmin,logfullimassmax,logfullimassbins);
float Mhat;
TCanvas* c = new TCanvas("c","c",600,400);
c->SetLogx();
c->SetLogy();
c->Draw();
c->cd();
TLegend* leg = new TLegend(0.6627517,0.6846449,0.7919463,0.8261126,NULL,"brNDC");
leg->SetFillStyle(4000); //will be transparent
leg->SetFillColor(0);
leg->SetTextFont(42);
TFile fLoose("/data/hod/2011/NTUPLE/analysisLocalControl_TightLoose.root", "READ");
TTree* tLoose = (TTree*)fLoose.Get("allCuts/allCuts_tree");
tLoose->SetBranchAddress("Mhat", &Mhat);
Int_t nLoose = tLoose->GetEntries();
TH1D* hLoose = new TH1D("hLoose","tight-loose vs. tight-tight selection;m_{#mu#mu} TeV;Events",nlogfullimassbins,logfullimassbins);
hLoose->SetLineColor(kRed);
hLoose->SetMarkerColor(kRed);
hLoose->SetMarkerStyle(24);
hLoose->SetMarkerSize(0.8);
hLoose->SetMinimum(1.e-3);
hLoose->SetMaximum(7.e+5);
hLoose->GetXaxis()->SetMoreLogLabels();
hLoose->GetXaxis()->SetNoExponent();
leg->AddEntry(hLoose,"tight-loose","lep");
for(Int_t i=0 ; i<nLoose ; i++)
{
tLoose->GetEntry(i);
hLoose->Fill(Mhat*TeV2GeV);
}
TFile fTight("/data/hod/2011/NTUPLE/analysisLocalControl.root", "READ");
TTree* tTight = (TTree*)fTight.Get("allCuts/allCuts_tree");
tTight->SetBranchAddress("Mhat", &Mhat);
Int_t nTight = tTight->GetEntries();
TH1D* hTight = new TH1D("hTight","tight-loose vs. tight-tight selection;m_{#mu#mu} TeV;Events",nlogfullimassbins,logfullimassbins);
hTight->SetLineColor(kBlack);
hTight->SetMarkerColor(kBlack);
hTight->SetMarkerStyle(24);
hTight->SetMarkerSize(0.8);
hTight->SetMinimum(1.e-3);
hTight->SetMaximum(7.e+5);
hTight->GetXaxis()->SetMoreLogLabels();
hTight->GetXaxis()->SetNoExponent();
leg->AddEntry(hTight,"tight-tight","lep");
for(Int_t i=0 ; i<nTight ; i++)
{
tTight->GetEntry(i);
hTight->Fill(Mhat*TeV2GeV);
}
hTight->Draw("e1x1");
hLoose->Draw("e1x1SAMES");
leg->Draw("SAMES");
c->RedrawAxis();
c->SaveAs("plots/Wjets.png");
}
void long_Ay_nu_05() {
gROOT->SetStyle("HALLA");
TCanvas *cn = new TCanvas("cn","cn",540,360);
cn->Draw();
cn->UseCurrentStyle();
TH1F *frm = new TH1F("frm","",100,0.,10.);
frm->GetXaxis()->SetTitle("#nu (GeV)");
frm->GetYaxis()->SetTitle("Ay for Q2=0.456 (GeV/c)2");
frm->SetMinimum(0);
// frm->SetMinimum(0);
// frm->SetMaximum(1.0);
frm->SetMaximum(0.35);
frm->UseCurrentStyle();
frm->Draw();
frm->SetAxisRange(0.120,0.350,"X");
// frm->SetAxisRange(0.5,1.1,"X");
// TF1* galster = new TF1("galster","x/(4.*0.938*.938)*1.91/(1.+x/.71)^2/(1.+5.6*x/(4.*.938*.938))",0.,4.);
// galster->SetLineColor(6);
// galster->SetLineStyle(3);
// galster->SetLineWidth(2);
TF1 *genf = new TF1("genf",genff,1.,10.,1);
genf->SetLineColor(2);
genf->SetLineStyle(2);
genf->SetParameter(0,1.);
// match to Madey point just below 1.5
// genf->SetParameter(0,.0411/genf->Eval(1.45));
genf->SetParameter(0,-0.558645);
// TF1 *bbba05 = new TF1("BBBA05",gen_bbba05,0.,10.,0);
// bbba05->SetLineColor(7);
// bbba05->SetLineStyle(3);
TMultiGraph* mgrDta = new TMultiGraph("Data","G_{E}^{n}");
TLegend *legDta = new TLegend(.54,.6,.875,.90,"","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;
while ( f && f->filename ) {
gr=OneGraph(f);
if (gr) {
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();
TF1 *theFit = new TF1("theFit","pol0");
gr->Fit(theFit);
theFit->Draw("same");
TMultiGraph* mgrThry = new TMultiGraph("Theory","G_{E}^{n}");
TLegend *legThry = new TLegend(.54,.3,.875,.6,"","brNDC");
wgr = mgrThry;
wlg = legThry;
// the theory
wlg->SetBorderSize(0); // turn off border
wlg->SetFillStyle(0);
f = theoryfiles1;
gr=0;
while ( f && f->filename ) {
gr=OneGraph(f);
if (gr) {
TGraphAsymmErrors *egr = dynamic_cast<TGraphAsymmErrors*>(gr);
if (egr && egr->GetN()>1 && egr->GetEYhigh() && egr->GetEYhigh()[1]>0) {
gr = toerror_band(egr);
gr->SetFillStyle(3000+f->style);
}
if (f->lnpt) {
wgr->Add(gr,f->lnpt);
wlg->AddEntry(gr,f->label,f->lnpt);
}
else if (gr->GetMarkerStyle()>=20) {
wgr->Add(gr,"p");
wlg->AddEntry(gr,f->label,"p");
}
else {
wgr->Add(gr,"l");
wlg->AddEntry(gr,f->label,"l");
}
}
f++;
}
// genf->Draw("same");
mgrThry->Draw("c");
// galster->Draw("same");
// bbba05->Draw("same");
// legThry->AddEntry(genf,"F_{2}/F_{1} #propto ln^{2}(Q^{2}/#Lambda^{2})/Q^{2}","l");
// legThry->AddEntry(galster,"Galster fit","l");
// legThry->AddEntry(bbba05,"BBBA05","l");
// legThry->Draw();
// legDta->Draw();
// draw a line at 1
cn->Modified();
cn->Update();
cn->SaveAs(Form("%s.eps",psfile));
cn->SaveAs(Form("%s.root",psfile));
gSystem->Exec(Form("./replace_symbols.pl %s.eps",psfile));
return; // LEAVING HERE
// now an overlay, hopefully matching dimensions
// remove everything but the graph
cn->Update();
TList *clist = cn->GetListOfPrimitives();
TFrame* 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);
cn->Update();
datafile_t miller = { "figure_input/Miller/lattice.GEn.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("gen_Miller_Overlay.eps");
cn->SaveAs("gen_Miller_Overlay.root");
}
void qcd_study1( bool fillHists=false, bool savePlots=false, bool interactive=true, const char* datfile = "null" ) {
TLine* line = new TLine() ;
gStyle->SetPalette(1) ;
gStyle->SetPadBottomMargin(0.20) ;
gDirectory->Delete("h*") ;
int nBinsBjets = 3 ;
//-- met3-ht3-v5
const int nBinsMET = 3 ;
const int nBinsHT = 3 ;
// const int version = 5;
float Mbins[nBinsMET+1] = {125, 200.,350.,99999.};
float Hbins[nBinsHT+1] = {400, 600.,1000.,99999.};
// ////-- met4-ht3-v3
// const int nBinsMET = 4 ;
// const int nBinsHT = 3 ;
// const int version = 3;
// float Mbins[nBinsMET+1] = {125, 150.,250.,350.,99999.};
// float Hbins[nBinsHT+1] = {400, 600.,1000.,99999.};
////-- met4-ht4-v15
//const int nBinsMET = 4 ;
//const int nBinsHT = 4 ;
// const int version = 15;
//float Mbins[nBinsMET+1] = {125, 150.,250.,350.,99999.};
//float Hbins[nBinsHT+1] = {400, 500.,800.,1000.,99999.};
TH2F* hdummy = new TH2F("hdummy","",2, Mbins[0], 1500., 2, Hbins[0], 1500. ) ;
const int nQcdSamples(9) ;
char inputfile[9][1000] = {
"files15fb_8TeV/QCD-120to170.root"
,"files15fb_8TeV/QCD-170to300.root"
,"files15fb_8TeV/QCD-300to470.root"
,"files15fb_8TeV/QCD-470to600.root"
,"files15fb_8TeV/QCD-600to800.root"
,"files15fb_8TeV/QCD-800to1000.root"
,"files15fb_8TeV/QCD-1000to1400.root"
,"files15fb_8TeV/QCD-1400to1800.root"
,"files15fb_8TeV/QCD-1800.root"
} ;
char samplename[9][100] = {
"qcd_0120_to_0170"
,"qcd_0170_to_0300"
,"qcd_0300_to_0470"
,"qcd_0470_to_0600"
,"qcd_0600_to_0800"
,"qcd_0800_to_1000"
,"qcd_1000_to_1400"
,"qcd_1400_to_1800"
,"qcd_1800_to_9999"
} ;
// int samplecolor[9] = {
// kOrange+8,
// kRed,
// KMagenta+2,
// KBlue+1,
// KAzure+2,
// KGreen+2,
// kPink-2,
// kViolet+2,
// kOrange+2
// } ;
int samplecolor[9] = {
800+8,
632,
616+2,
600+1,
860+2,
416+2,
900-2,
880+2,
800+2
} ;
TH2F* h0lep[nQcdSamples][nBinsBjets] ;
TH2F* hldp [nQcdSamples][nBinsBjets] ;
TCanvas* cqcd = (TCanvas*) gDirectory->FindObject("cqcd") ;
if ( cqcd == 0x0 ) {
cqcd = new TCanvas("cqcd", "qcd study", 700, 900 ) ;
}
char hname[1000] ;
char htitle[1000] ;
if ( fillHists ) {
TChain* qcdch[nQcdSamples] ;
printf("\n\n") ;
for ( int si=0; si<nQcdSamples; si++ ) {
qcdch[si] = new TChain("tree") ;
printf(" %2d : connecting to %s\n", si, inputfile[si] ) ;
qcdch[si] -> Add( inputfile[si] ) ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
sprintf( hname, "h_0lep_%db_%s", bbi+1, samplename[si] ) ;
sprintf( htitle, "QCD 0lep yield, nb=%d, %s", bbi+1, samplename[si] ) ;
printf(" booking hist %s : %s\n", hname, htitle ) ;
h0lep[si][bbi] = new TH2F( hname, htitle, nBinsMET, Mbins, nBinsHT, Hbins ) ;
h0lep[si][bbi] -> Sumw2() ;
sprintf( hname, "h_ldp_%db_%s", bbi+1, samplename[si] ) ;
sprintf( htitle, "QCD LDP yield, nb=%d, %s", bbi+1, samplename[si] ) ;
printf(" booking hist %s : %s\n", hname, htitle ) ;
hldp [si][bbi] = new TH2F( hname, htitle, nBinsMET, Mbins, nBinsHT, Hbins ) ;
hldp [si][bbi] -> Sumw2() ;
} // bbi.
} // si.
printf("\n\n") ;
char basecuts[10000] ;
sprintf( basecuts, "pt_1st_leadJet>50&&pt_2nd_leadJet>50&&pt_3rd_leadJet>50&&HT>400&&MET>125&&nMu==0&&nEl==0&&nB>=1&&nJets>=3" ) ;
char bcut[3][100] = { "nB==1", "nB==2", "nB>=3" } ;
for ( int si=0; si<nQcdSamples; si++ ) {
printf(" %2d : %s : 0lep\n", si, samplename[si] ) ; cout << flush ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
char arg1[1000] ;
char cuts0lep[10000] ;
sprintf( cuts0lep, "(%s)&&(minDelPhiN>4&&%s)", basecuts, bcut[bbi] ) ;
printf(" %db, 0lep cuts : %s\n", bbi+1, cuts0lep ) ;
sprintf( arg1, "HT:MET>>h_0lep_%db_%s", bbi+1, samplename[si] ) ;
qcdch[si] -> Draw( arg1, cuts0lep ) ;
hdummy->Draw() ;
h0lep[si][bbi]->Draw("samecolz") ;
cqcd->Update() ; cqcd->Draw() ;
char cutsldp[10000] ;
sprintf( cutsldp, "(%s)&&(minDelPhiN<=4&&%s)", basecuts, bcut[bbi] ) ;
printf(" %db, ldp cuts : %s\n", bbi+1, cutsldp ) ;
sprintf( arg1, "HT:MET>>h_ldp_%db_%s", bbi+1, samplename[si] ) ;
qcdch[si] -> Draw( arg1, cutsldp, "colz" ) ;
hdummy->Draw() ;
hldp[si][bbi]->Draw("samecolz") ;
cqcd->Update() ; cqcd->Draw() ;
} // bbi.
} // si.
saveHist( "rootfiles/qcd-study1.root", "h*" ) ;
}
//--------
gStyle->SetOptStat(0) ;
gDirectory->Delete("h*") ;
loadHist( "rootfiles/qcd-study1.root" ) ;
for ( int si=0; si<nQcdSamples; si++ ) {
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
sprintf( hname, "h_0lep_%db_%s", bbi+1, samplename[si] ) ;
printf(" loading %s\n", hname ) ;
h0lep[si][bbi] = (TH2F*) gDirectory->FindObject( hname ) ;
if ( h0lep[si][bbi] == 0x0 ) { printf("\n\n *** %s missing.\n\n", hname ) ; return ; }
sprintf( hname, "h_ldp_%db_%s", bbi+1, samplename[si] ) ;
printf(" loading %s\n", hname ) ;
hldp [si][bbi] = (TH2F*) gDirectory->FindObject( hname ) ;
if ( hldp [si][bbi] == 0x0 ) { printf("\n\n *** %s missing.\n\n", hname ) ; return ; }
} // bbi.
} // si.
//--- Flatten 2D histos and compute 0lep/LDP ratios for each sample.
int nbins = nBinsMET*(nBinsHT+1) + 1 ;
TH1F* hflat_0lep[nQcdSamples][nBinsBjets] ;
TH1F* hflat_ldp [nQcdSamples][nBinsBjets] ;
TH1F* hflat_0lepldp_ratio[nQcdSamples][nBinsBjets] ;
sprintf( hname, "hflat_0lep_all" ) ;
sprintf( htitle, "All QCD 0lep events" ) ;
TH1F* hflat_0lep_all = bookHist( hname, htitle, nBinsMET, nBinsHT, 5 ) ;
sprintf( hname, "hflat_ldp_all" ) ;
sprintf( htitle, "All QCD ldp events" ) ;
TH1F* hflat_ldp_all = bookHist( hname, htitle, nBinsMET, nBinsHT, 5 ) ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
for ( int si=0; si<nQcdSamples; si++ ) {
sprintf( hname, "hflat_0lep_%db_%s", bbi+1, samplename[si] ) ;
sprintf( htitle, "QCD 0lep events, nb=%d, %s", bbi+1, samplename[si] ) ;
hflat_0lep[si][bbi] = bookHist( hname, htitle, nBinsMET, nBinsHT, si ) ;
hflat_0lep[si][bbi]->SetFillColor(11) ;
hldp[si][bbi]->Print("all") ;
sprintf( hname, "hflat_ldp_%db_%s", bbi+1, samplename[si] ) ;
sprintf( htitle, "QCD LDP events, nb=%d, %s", bbi+1, samplename[si] ) ;
hflat_ldp[si][bbi] = bookHist( hname, htitle, nBinsMET, nBinsHT, si ) ;
hflat_ldp[si][bbi]->SetFillColor(11) ;
sprintf( hname, "hflat_0lepldp_ratio_%db_%s", bbi+1, samplename[si] ) ;
sprintf( htitle, "QCD 0lep/LDP ratio, nb=%d, %s", bbi+1, samplename[si] ) ;
hflat_0lepldp_ratio[si][bbi] = bookHist( hname, htitle, nBinsMET, nBinsHT, si ) ;
for ( int mbi=0; mbi<nBinsMET; mbi++ ) {
for ( int hbi=0; hbi<nBinsHT; hbi++ ) {
int histbin = 1 + (nBinsHT+1)*mbi + hbi + 1 ;
float n0lep = h0lep[si][bbi] -> GetBinContent( mbi+1, hbi+1 ) ;
float n0lep_err = h0lep[si][bbi] -> GetBinError( mbi+1, hbi+1 ) ;
float nldp = hldp [si][bbi] -> GetBinContent( mbi+1, hbi+1 ) ;
float nldp_err = hldp [si][bbi] -> GetBinError( mbi+1, hbi+1 ) ;
hflat_0lep[si][bbi] -> SetBinContent( histbin, n0lep ) ;
hflat_0lep[si][bbi] -> SetBinError( histbin, n0lep_err ) ;
hflat_ldp[si][bbi] -> SetBinContent( histbin, nldp ) ;
hflat_ldp[si][bbi] -> SetBinError( histbin, nldp_err ) ;
double ratio(0.) ;
if ( nldp > 0 ) { ratio = n0lep / nldp ; }
double ratio_err(0.) ;
if ( n0lep_err > 0. && nldp_err > 0. ) {
ratio_err = ratio * sqrt( pow(n0lep_err/n0lep,2) + pow(nldp_err/nldp,2) ) ;
}
hflat_0lepldp_ratio[si][bbi] -> SetBinContent( histbin, ratio ) ;
hflat_0lepldp_ratio[si][bbi] -> SetBinError( histbin, ratio_err ) ;
} // hbi.
} // mbi.
hflat_0lep_all -> Add( hflat_0lep[si][bbi] ) ;
hflat_ldp_all -> Add( hflat_ldp [si][bbi] ) ;
cqcd->Clear() ;
cqcd->Divide(1,3) ;
cqcd->cd(1) ;
hflat_0lep[si][bbi] -> DrawCopy("histe") ;
hflat_0lep[si][bbi] -> DrawCopy("samee") ;
cqcd->cd(2) ;
hflat_ldp[si][bbi] -> DrawCopy("histe") ;
hflat_ldp[si][bbi] -> DrawCopy("samee") ;
cqcd->cd(3) ;
hflat_0lepldp_ratio[si][bbi]->SetMinimum(-0.1) ;
hflat_0lepldp_ratio[si][bbi]->SetMaximum(0.6) ;
hflat_0lepldp_ratio[si][bbi]->SetMarkerStyle(20) ;
hflat_0lepldp_ratio[si][bbi]->SetLineWidth(2) ;
hflat_0lepldp_ratio[si][bbi]->DrawCopy() ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
cqcd->Update() ; cqcd->Draw() ;
} // si.
} // bbi.
TH1F* hflat_0lep_all_sqrtNerrs = (TH1F*) hflat_0lep_all->Clone("hflat_0lep_all_sqrtNerrs") ;
TH1F* hflat_ldp_all_sqrtNerrs = (TH1F*) hflat_ldp_all ->Clone("hflat_ldp_all_sqrtNerrs") ;
for ( int bi=1; bi<=nbins; bi++ ) {
double val ;
val = hflat_0lep_all_sqrtNerrs->GetBinContent( bi ) ;
hflat_0lep_all_sqrtNerrs -> SetBinError( bi, sqrt(val) ) ;
val = hflat_ldp_all_sqrtNerrs->GetBinContent( bi ) ;
hflat_ldp_all_sqrtNerrs -> SetBinError( bi, sqrt(val) ) ;
}
//--- Compute sample average of 0lep/LDP ratio
TH1F* hflat_0lepldp_ratio_ave[nBinsBjets] ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
sprintf( hname, "hflat_0lepldp_ratio_ave_%db", bbi+1 ) ;
sprintf( htitle, "QCD 0lep/LDP average ratio, nb=%d", bbi+1 ) ;
hflat_0lepldp_ratio_ave[bbi] = bookHist( hname, htitle, nBinsMET, nBinsHT, 5 ) ;
hflat_0lepldp_ratio_ave[bbi] -> SetMarkerStyle(24) ;
hflat_0lepldp_ratio_ave[bbi] -> SetMarkerSize(2.0) ;
hflat_0lepldp_ratio_ave[bbi] -> SetLineWidth(3) ;
for ( int binind=1; binind<=nbins; binind++ ) {
double wvsum(0.) ;
double wsum(0.) ;
for ( int si=0; si<nQcdSamples; si++ ) {
double val = hflat_0lepldp_ratio[si][bbi] -> GetBinContent( binind ) ;
double err = hflat_0lepldp_ratio[si][bbi] -> GetBinError( binind ) ;
if ( err > 0 ) {
double weight = 1./(err*err) ;
wvsum += val*weight ;
wsum += weight ;
}
} // si.
if ( wsum > 0. ) {
hflat_0lepldp_ratio_ave[bbi] -> SetBinContent( binind, wvsum/wsum ) ;
hflat_0lepldp_ratio_ave[bbi] -> SetBinError( binind, 1./sqrt(wsum) ) ;
}
} // binind
} // bbi.
//--- Compute RMS spread of samples and total uncertainty
TH1F* hflat_0lepldp_ratio_ave_withRMSerror[nBinsBjets] ;
printf("\n\n") ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
sprintf( hname, "hflat_0lepldp_ratio_ave_%db_withRMSerror", bbi+1 ) ;
sprintf( htitle, "QCD 0lep/LDP average ratio, RMS included in error, nb=%d", bbi+1 ) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] = bookHist( hname, htitle, nBinsMET, nBinsHT, 5 ) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetMarkerStyle(24) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetMarkerSize(2.0) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetLineWidth(3) ;
for ( int binind=1; binind<=nbins; binind++ ) {
double sumsquare(0.) ;
int nsum(0) ;
double ave = hflat_0lepldp_ratio_ave[bbi] -> GetBinContent( binind ) ;
double ave_err = hflat_0lepldp_ratio_ave[bbi] -> GetBinError( binind ) ;
for ( int si=0; si<nQcdSamples; si++ ) {
double val = hflat_0lepldp_ratio[si][bbi] -> GetBinContent( binind ) ;
double err = hflat_0lepldp_ratio[si][bbi] -> GetBinError( binind ) ;
if ( err <= 0 ) { continue ; }
if ( val <= 0 ) { continue ; }
if ( err/val > 0.5 ) { continue ; } //-- do not include points with very large errors.
double diff = val - ave ;
sumsquare += diff*diff ;
nsum ++ ;
} // si.
if ( nsum > 1 ) {
double rms = sqrt(sumsquare/nsum) ;
double totalerr = sqrt( ave_err*ave_err + rms*rms ) ;
const char* binlabel = hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> GetXaxis() -> GetBinLabel( binind ) ;
printf(" %s : %s : ratio = %5.3f, stat err = %5.3f, RMS = %5.3f, total err = %5.3f\n",
hname, binlabel, ave, ave_err, rms, totalerr ) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetBinContent( binind, ave ) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetBinError( binind, totalerr ) ;
} else {
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetBinContent( binind, ave ) ;
hflat_0lepldp_ratio_ave_withRMSerror[bbi] -> SetBinError( binind, ave_err ) ;
}
} // binind
printf("\n") ;
} // bbi.
printf("\n\n") ;
//--- compute global average 0lep/LDP ratio.
double all0lep(0.) ;
double allldp(0.) ;
printf("\n\n") ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
for ( int si=0; si<nQcdSamples; si++ ) {
double sample_all0lep = h0lep[si][bbi] -> Integral() ;
double sample_allldp = hldp [si][bbi] -> Integral() ;
double sample_ratio(0.) ;
if ( sample_allldp > 0 ) { sample_ratio = sample_all0lep / sample_allldp ; }
printf( "%s, nb=%d : 0lep = %8.1f, LDP = %8.1f, ratio = %5.3f\n", samplename[si], bbi+1, sample_all0lep, sample_allldp, sample_ratio ) ;
all0lep += sample_all0lep ;
allldp += sample_allldp ;
} // si.
printf("\n") ;
} // bbi.
printf("\n\n") ;
double global_0lepldp_ratio(0.) ;
if ( allldp > 0.) {
global_0lepldp_ratio = all0lep / allldp ;
} else {
printf("\n\n *** You screwed up.\n\n") ; return ;
}
printf(" overall : 0lep = %9.1f, LDP = %9.1f, ratio = %5.3f\n", all0lep, allldp, global_0lepldp_ratio ) ;
//--- Compute scale factors. SF_i = (0lep/LDP)_i / global_(0lep/LDP)
TH1F* hflat_scale_factor[nBinsBjets] ;
TH1F* hflat_scale_factor_withRMSerror[nBinsBjets] ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
sprintf( hname, "hflat_scale_factor_%db", bbi+1 ) ;
sprintf( htitle, "QCD scale factor, nb=%d", bbi+1 ) ;
hflat_scale_factor[bbi] = (TH1F*) hflat_0lepldp_ratio_ave[bbi]->Clone( hname ) ;
hflat_scale_factor[bbi] -> SetTitle( htitle ) ;
hflat_scale_factor[bbi] -> Scale( 1./ global_0lepldp_ratio ) ;
sprintf( hname, "hflat_scale_factor_%db_withRMSerror", bbi+1 ) ;
sprintf( htitle, "QCD scale factor, nb=%d, RMS error included ", bbi+1 ) ;
hflat_scale_factor_withRMSerror[bbi] = (TH1F*) hflat_0lepldp_ratio_ave_withRMSerror[bbi]->Clone( hname ) ;
hflat_scale_factor_withRMSerror[bbi] -> SetTitle( htitle ) ;
hflat_scale_factor_withRMSerror[bbi] -> Scale( 1./ global_0lepldp_ratio ) ;
} // bbi.
//--- set Scale Factor values in dat file if one is provided.
if ( strcmp( datfile, "null" ) != 0 ) {
printf("\n\n\n Setting QCD scale factors in %s\n\n", datfile ) ;
for ( int mbi=0; mbi<nBinsMET; mbi++ ) {
for ( int hbi=0; hbi<nBinsHT; hbi++ ) {
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
char parname[1000] ;
int histbin = 1 + (nBinsHT+1)*mbi + hbi + 1 ;
double val = hflat_scale_factor_withRMSerror[bbi]->GetBinContent( histbin ) ;
double err = hflat_scale_factor_withRMSerror[bbi]->GetBinError( histbin ) ;
if ( err <= 0 ) {
val = 1.0 ;
err = 3.0 ;
}
sprintf( parname, "sf_qcd_M%d_H%d_%db", mbi+1, hbi+1, bbi+1 ) ;
updateFileValue( datfile, parname, val ) ;
sprintf( parname, "sf_qcd_M%d_H%d_%db_err", mbi+1, hbi+1, bbi+1 ) ;
updateFileValue( datfile, parname, err ) ;
} // bbi.
} // hbi.
} // mbi.
}
//=========== End calculations. Plots and other output below here. ===================================
//--- Plot all samples together
TCanvas* cqcd2 = (TCanvas*) gDirectory->FindObject("cqcd2") ;
if ( cqcd2 == 0x0 ) {
cqcd2 = new TCanvas("cqcd2", "qcd study", 1700, 600 ) ;
}
TLegend* l2 = new TLegend( 0.79, 0.70, 0.99, 0.99 ) ;
l2->AddEntry( hflat_0lepldp_ratio[0][0], "120 to 170" ) ;
l2->AddEntry( hflat_0lepldp_ratio[1][0], "170 to 300" ) ;
l2->AddEntry( hflat_0lepldp_ratio[2][0], "300 to 470" ) ;
l2->AddEntry( hflat_0lepldp_ratio[3][0], "470 to 600" ) ;
l2->AddEntry( hflat_0lepldp_ratio[4][0], "600 to 800" ) ;
l2->AddEntry( hflat_0lepldp_ratio[5][0], "800 to 1000" ) ;
l2->AddEntry( hflat_0lepldp_ratio[6][0], "1000 to 1400" ) ;
l2->AddEntry( hflat_0lepldp_ratio[7][0], "1400 to 1800" ) ;
l2->AddEntry( hflat_0lepldp_ratio[8][0], "> 1800" ) ;
l2->AddEntry( hflat_0lepldp_ratio_ave[0], "Average ratio" ) ;
cqcd2 -> Clear() ;
cqcd2 -> Divide(3,1) ;
cqcd2 -> cd(1) ;
hflat_0lepldp_ratio[0][0] -> SetTitle("QCD 0lep/LDP ratio, nb=1") ;
for ( int si=0; si<nQcdSamples; si++ ) {
hflat_0lepldp_ratio[si][0] -> SetMarkerStyle(20+si) ;
hflat_0lepldp_ratio[si][0] -> SetLineColor(samplecolor[si]) ;
hflat_0lepldp_ratio[si][0] -> SetMarkerColor(samplecolor[si]) ;
if ( si == 0 ) { hflat_0lepldp_ratio[si][0] -> DrawCopy() ; } else { hflat_0lepldp_ratio[si][0] -> DrawCopy("same") ; }
}
hflat_0lepldp_ratio_ave[0]->DrawCopy("same") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
l2->Draw() ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd2 -> cd(2) ;
hflat_0lepldp_ratio[0][1] -> SetTitle("QCD 0lep/LDP ratio, nb=2") ;
for ( int si=0; si<nQcdSamples; si++ ) {
hflat_0lepldp_ratio[si][1] -> SetMarkerStyle(20+si) ;
hflat_0lepldp_ratio[si][1] -> SetLineColor(samplecolor[si]) ;
hflat_0lepldp_ratio[si][1] -> SetMarkerColor(samplecolor[si]) ;
if ( si == 0 ) { hflat_0lepldp_ratio[si][1] -> DrawCopy() ; } else { hflat_0lepldp_ratio[si][1] -> DrawCopy("same") ; }
}
hflat_0lepldp_ratio_ave[1]->DrawCopy("same") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
l2->Draw() ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd2 -> cd(3) ;
hflat_0lepldp_ratio[0][2] -> SetTitle("QCD 0lep/LDP ratio, nb>=3") ;
for ( int si=0; si<nQcdSamples; si++ ) {
hflat_0lepldp_ratio[si][2] -> SetMarkerStyle(20+si) ;
hflat_0lepldp_ratio[si][2] -> SetLineColor(samplecolor[si]) ;
hflat_0lepldp_ratio[si][2] -> SetMarkerColor(samplecolor[si]) ;
if ( si == 0 ) { hflat_0lepldp_ratio[si][2] -> DrawCopy() ; } else { hflat_0lepldp_ratio[si][2] -> DrawCopy("same") ; }
}
hflat_0lepldp_ratio_ave[2]->DrawCopy("same") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
l2->Draw() ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd2->Update() ; cqcd2->Draw() ;
if ( savePlots ) {
cqcd2 -> SaveAs("outputfiles/qcd-study1-allonone.png") ;
cqcd2 -> SaveAs("outputfiles/qcd-study1-allonone.pdf") ;
}
//--- Go through the samples, 1 by 1, and draw numerator, denominator, and ratio
TCanvas* cqcd3 = (TCanvas*) gDirectory->FindObject("cqcd3") ;
if ( cqcd3 == 0x0 ) {
cqcd3 = new TCanvas("cqcd3", "qcd study", 1200, 900 ) ;
}
char oldtitle[1000] ;
sprintf( oldtitle, "QCD 0lep/LDP ratio, nb=1, %s", samplename[0] ) ;
hflat_0lepldp_ratio[0][0] -> SetTitle(oldtitle) ;
sprintf( oldtitle, "QCD 0lep/LDP ratio, nb=2, %s", samplename[0] ) ;
hflat_0lepldp_ratio[0][1] -> SetTitle(oldtitle) ;
sprintf( oldtitle, "QCD 0lep/LDP ratio, nb>=3, %s", samplename[0] ) ;
hflat_0lepldp_ratio[0][2] -> SetTitle(oldtitle) ;
cqcd3->Clear() ;
cqcd3->Divide(3,3) ;
for ( int si=0; si<nQcdSamples; si++ ) {
TLegend* l3 = new TLegend( 0.65, 0.78, 0.99, 0.92) ;
l3->AddEntry( hflat_0lepldp_ratio[si][0], samplename[si] ) ;
l3->AddEntry( hflat_0lepldp_ratio_ave[0], "Average") ;
for ( int bbi=0; bbi<nBinsBjets; bbi++ ) {
cqcd3->cd(1+bbi) ;
hflat_0lep[si][bbi] -> DrawCopy("histe") ;
hflat_0lep[si][bbi] -> DrawCopy("samee") ;
cqcd3->cd(4+bbi) ;
hflat_ldp[si][bbi] -> DrawCopy("histe") ;
hflat_ldp[si][bbi] -> DrawCopy("samee") ;
cqcd3->cd(7+bbi) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
hflat_0lepldp_ratio[si][bbi]->DrawCopy() ;
hflat_0lepldp_ratio_ave[bbi]->DrawCopy("same") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
l3->Draw() ;
} // bbi.
cqcd3->Update() ; cqcd3->Draw() ;
if ( savePlots ) {
char filename[1000] ;
sprintf( filename, "outputfiles/qcd-study1-%s.pdf", samplename[si] ) ;
cqcd3 -> SaveAs( filename ) ;
sprintf( filename, "outputfiles/qcd-study1-%s.png", samplename[si] ) ;
cqcd3 -> SaveAs( filename ) ;
}
if ( interactive ) {
char a = getchar() ;
if ( a == 'q') { return ; }
}
} // si.
//--- Draw the average 0lep/LDP ratio with MC stat error and total error.
TCanvas* cqcd4 = (TCanvas*) gDirectory->FindObject("cqcd4") ;
if ( cqcd4 == 0x0 ) {
cqcd4 = new TCanvas("cqcd4", "qcd study", 1700, 600 ) ;
}
gStyle->SetEndErrorSize(5) ;
cqcd4->Clear() ;
cqcd4->Divide(3,1) ;
cqcd4 -> cd(1) ;
hflat_0lepldp_ratio_ave[0] -> SetTitle("Average QCD 0lep/LDP ratio, nb=1") ;
hflat_0lepldp_ratio_ave[0] -> SetMarkerSize(1.2) ;
hflat_0lepldp_ratio_ave[0] -> SetMarkerStyle(20) ;
hflat_0lepldp_ratio_ave[0] -> SetMaximum(0.6) ;
hflat_0lepldp_ratio_ave[0] -> SetMinimum(-0.1) ;
hflat_0lepldp_ratio_ave[0]->DrawCopy("e1") ;
hflat_0lepldp_ratio_ave_withRMSerror[0]->SetMarkerStyle() ;
hflat_0lepldp_ratio_ave_withRMSerror[0]->SetLineColor(4) ;
hflat_0lepldp_ratio_ave_withRMSerror[0]->DrawCopy("samee1") ;
hflat_0lepldp_ratio_ave[0]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd4 -> cd(2) ;
hflat_0lepldp_ratio_ave[1] -> SetTitle("Average QCD 0lep/LDP ratio, nb=2") ;
hflat_0lepldp_ratio_ave[1] -> SetMarkerSize(1.2) ;
hflat_0lepldp_ratio_ave[1] -> SetMarkerStyle(20) ;
hflat_0lepldp_ratio_ave[1] -> SetMaximum(0.6) ;
hflat_0lepldp_ratio_ave[1] -> SetMinimum(-0.1) ;
hflat_0lepldp_ratio_ave[1]->DrawCopy("e1") ;
hflat_0lepldp_ratio_ave_withRMSerror[1]->SetMarkerStyle() ;
hflat_0lepldp_ratio_ave_withRMSerror[1]->SetLineColor(4) ;
hflat_0lepldp_ratio_ave_withRMSerror[1]->DrawCopy("samee1") ;
hflat_0lepldp_ratio_ave[1]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd4 -> cd(3) ;
hflat_0lepldp_ratio_ave[2] -> SetTitle("Average QCD 0lep/LDP ratio, nb>=3") ;
hflat_0lepldp_ratio_ave[2] -> SetMarkerSize(1.2) ;
hflat_0lepldp_ratio_ave[2] -> SetMarkerStyle(20) ;
hflat_0lepldp_ratio_ave[2] -> SetMaximum(0.6) ;
hflat_0lepldp_ratio_ave[2] -> SetMinimum(-0.1) ;
hflat_0lepldp_ratio_ave[2]->DrawCopy("e1") ;
hflat_0lepldp_ratio_ave_withRMSerror[2]->SetMarkerStyle() ;
hflat_0lepldp_ratio_ave_withRMSerror[2]->SetLineColor(4) ;
hflat_0lepldp_ratio_ave_withRMSerror[2]->DrawCopy("samee1") ;
hflat_0lepldp_ratio_ave[2]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd4->Update() ; cqcd4->Draw() ;
if ( savePlots ) {
cqcd4 -> SaveAs("outputfiles/qcd-study1-averatio.png") ;
cqcd4 -> SaveAs("outputfiles/qcd-study1-averatio.pdf") ;
}
//--- Draw the QCD scale factor with MC stat error and total error.
TCanvas* cqcd5 = (TCanvas*) gDirectory->FindObject("cqcd5") ;
if ( cqcd5 == 0x0 ) {
cqcd5 = new TCanvas("cqcd5", "qcd study", 1700, 600 ) ;
}
gStyle->SetEndErrorSize(5) ;
cqcd5->Clear() ;
cqcd5->Divide(3,1) ;
cqcd5 -> cd(1) ;
hflat_scale_factor[0] -> SetTitle("QCD Scale Factor, nb=1") ;
hflat_scale_factor[0] -> SetMarkerSize(1.2) ;
hflat_scale_factor[0] -> SetMarkerStyle(20) ;
hflat_scale_factor[0] -> SetMaximum(2.6) ;
hflat_scale_factor[0] -> SetMinimum(-0.1) ;
hflat_scale_factor[0]->DrawCopy("e1") ;
hflat_scale_factor_withRMSerror[0]->SetMarkerStyle() ;
hflat_scale_factor_withRMSerror[0]->SetLineColor(4) ;
hflat_scale_factor_withRMSerror[0]->DrawCopy("samee1") ;
hflat_scale_factor[0]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd5 -> cd(2) ;
hflat_scale_factor[1] -> SetTitle("QCD Scale Factor, nb=2") ;
hflat_scale_factor[1] -> SetMarkerSize(1.2) ;
hflat_scale_factor[1] -> SetMarkerStyle(20) ;
hflat_scale_factor[1] -> SetMaximum(2.6) ;
hflat_scale_factor[1] -> SetMinimum(-0.1) ;
hflat_scale_factor[1]->DrawCopy("e1") ;
hflat_scale_factor_withRMSerror[1]->SetMarkerStyle() ;
hflat_scale_factor_withRMSerror[1]->SetLineColor(4) ;
hflat_scale_factor_withRMSerror[1]->DrawCopy("samee1") ;
hflat_scale_factor[1]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd5 -> cd(3) ;
hflat_scale_factor[2] -> SetTitle("QCD Scale Factor, nb>=3") ;
hflat_scale_factor[2] -> SetMarkerSize(1.2) ;
hflat_scale_factor[2] -> SetMarkerStyle(20) ;
hflat_scale_factor[2] -> SetMaximum(2.6) ;
hflat_scale_factor[2] -> SetMinimum(-0.1) ;
hflat_scale_factor[2]->DrawCopy("e1") ;
hflat_scale_factor_withRMSerror[2]->SetMarkerStyle() ;
hflat_scale_factor_withRMSerror[2]->SetLineColor(4) ;
hflat_scale_factor_withRMSerror[2]->DrawCopy("samee1") ;
hflat_scale_factor[2]->DrawCopy("samee1") ;
line->DrawLine(0.5,0,nbins+0.5,0) ;
gPad->SetGridx(1) ;
gPad->SetGridy(1) ;
cqcd5->Update() ; cqcd5->Draw() ;
if ( savePlots ) {
cqcd5 -> SaveAs("outputfiles/qcd-study1-scalefactor.png") ;
cqcd5 -> SaveAs("outputfiles/qcd-study1-scalefactor.pdf") ;
}
} // qcd_study.
vector<Double_t*> simFit(bool makeSoupFit_ = false,
const string tnp_ = "etoTauMargLooseNoCracks70",
const string category_ = "tauAntiEMVA",
const string bin_ = "abseta<1.5",
const float binCenter_ = 0.75,
const float binWidth_ = 0.75,
const float xLow_=60,
const float xHigh_=120,
bool SumW2_ = false,
bool verbose_ = true){
vector<Double_t*> out;
//return out;
//TFile *test = new TFile( outFile->GetName(),"UPDATE");
// output file
TFile *test = new TFile( Form("EtoTauPlotsFit_%s_%s_%f.root",tnp_.c_str(),category_.c_str(),binCenter_),"RECREATE");
test->mkdir(Form("bin%f",binCenter_));
TCanvas *c = new TCanvas("fitCanvas",Form("fitCanvas_%s_%s",tnp_.c_str(),bin_.c_str()),10,30,650,600);
c->SetGrid(0,0);
c->SetFillStyle(4000);
c->SetFillColor(10);
c->SetTicky();
c->SetObjectStat(0);
TCanvas *c2 = new TCanvas("fitCanvasTemplate",Form("fitCanvasTemplate_%s_%s",tnp_.c_str(),bin_.c_str()),10,30,650,600);
c2->SetGrid(0,0);
c2->SetFillStyle(4000);
c2->SetFillColor(10);
c2->SetTicky();
c2->SetObjectStat(0);
// input files
TFile fsup("/data_CMS/cms/lbianchini/tagAndProbe/trees/38XWcut/testNewWriteFromPAT_soup.root");
TFile fbkg("/data_CMS/cms/lbianchini/tagAndProbe/trees/38XWcut/testNewWriteFromPAT_soup_bkg.root");
TFile fsgn("/data_CMS/cms/lbianchini/tagAndProbe/trees/38XWcut/testNewWriteFromPAT_soup_sgn.root");
TFile fdat("/data_CMS/cms/lbianchini/tagAndProbe/trees/38XWcut/testNewWriteFromPAT_Data.root");
// data from 2iter:
//TFile fdat("/data_CMS/cms/lbianchini/35pb/testNewWriteFromPAT_Data.root");
//********************** signal only tree *************************/
TTree *fullTreeSgn = (TTree*)fsgn.Get((tnp_+"/fitter_tree").c_str());
TH1F* hSall = new TH1F("hSall","",1,0,150);
TH1F* hSPall = new TH1F("hSPall","",1,0,150);
TH1F* hS = new TH1F("hS","",1,0,150);
TH1F* hSP = new TH1F("hSP","",1,0,150);
fullTreeSgn->Draw("mass>>hS",Form("weight*(%s && mass>%f && mass<%f && mcTrue && signalPFChargedHadrCands<1.5)",bin_.c_str(),xLow_,xHigh_));
fullTreeSgn->Draw("mass>>hSall",Form("weight*(%s && mass>%f && mass<%f)",bin_.c_str(),xLow_,xHigh_));
float SGNtrue = hS->Integral();
float SGNall = hSall->Integral();
fullTreeSgn->Draw("mass>>hSP",Form("weight*(%s && %s>0 && mass>%f && mass<%f && mcTrue && signalPFChargedHadrCands<1.5 )",bin_.c_str(),category_.c_str(),xLow_,xHigh_));
fullTreeSgn->Draw("mass>>hSPall",Form("weight*(%s && %s>0 && mass>%f && mass<%f && signalPFChargedHadrCands<1.5 )",bin_.c_str(),category_.c_str(),xLow_,xHigh_));
float SGNtruePass = hSP->Integral();
float SGNallPass = hSPall->Integral();
//********************** background only tree *************************//
TTree *fullTreeBkg = (TTree*)fbkg.Get((tnp_+"/fitter_tree").c_str());
TH1F* hB = new TH1F("hB","",1,0,150);
TH1F* hBP = new TH1F("hBP","",1,0,150);
fullTreeBkg->Draw("mass>>hB",Form("weight*(%s && mass>%f && mass<%f && signalPFChargedHadrCands<1.5 )",bin_.c_str(),xLow_,xHigh_));
float BKG = hB->Integral();
float BKGUnWeighted = hB->GetEntries();
fullTreeBkg->Draw("mass>>hBP",Form("weight*(%s && %s>0 && mass>%f && mass<%f && signalPFChargedHadrCands<1.5 )",bin_.c_str(),category_.c_str(),xLow_,xHigh_));
float BKGPass = hBP->Integral();
float BKGUnWeightedPass = hBP->GetEntries();
float BKGFail = BKG-BKGPass;
cout << "*********** BKGFail " << BKGFail << endl;
//********************** soup tree *************************//
TTree *fullTreeSoup = (TTree*)fsup.Get((tnp_+"/fitter_tree").c_str());
//********************** data tree *************************//
TTree *fullTreeData = (TTree*)fdat.Get((tnp_+"/fitter_tree").c_str());
//********************** workspace ***********************//
RooWorkspace *w = new RooWorkspace("w","w");
// tree variables to be imported
w->factory("mass[30,120]");
w->factory("weight[0,10000]");
w->factory("abseta[0,2.5]");
w->factory("pt[0,200]");
w->factory("mcTrue[0,1]");
w->factory("signalPFChargedHadrCands[0,10]");
w->factory((category_+"[0,1]").c_str());
// background pass pdf for MC
w->factory("RooExponential::McBackgroundPdfP(mass,McCP[0,-10,10])");
// background fail pdf for MC
w->factory("RooExponential::McBackgroundPdfF(mass,McCF[0,-10,10])");
// background pass pdf for Data
w->factory("RooExponential::DataBackgroundPdfP(mass,DataCP[0,-10,10])");
// background fail pdf for Data
w->factory("RooExponential::DataBackgroundPdfF(mass,DataCF[0,-10,10])");
// fit parameters for background
w->factory("McEfficiency[0.04,0,1]");
w->factory("McNumSgn[0,1000000]");
w->factory("McNumBkgP[0,100000]");
w->factory("McNumBkgF[0,100000]");
w->factory("expr::McNumSgnP('McEfficiency*McNumSgn',McEfficiency,McNumSgn)");
w->factory("expr::McNumSgnF('(1-McEfficiency)*McNumSgn',McEfficiency,McNumSgn)");
w->factory("McPassing[pass=1,fail=0]");
// fit parameters for data
w->factory("DataEfficiency[0.1,0,1]");
w->factory("DataNumSgn[0,1000000]");
w->factory("DataNumBkgP[0,1000000]");
w->factory("DataNumBkgF[0,10000]");
w->factory("expr::DataNumSgnP('DataEfficiency*DataNumSgn',DataEfficiency,DataNumSgn)");
w->factory("expr::DataNumSgnF('(1-DataEfficiency)*DataNumSgn',DataEfficiency,DataNumSgn)");
w->factory("DataPassing[pass=1,fail=0]");
RooRealVar *weight = w->var("weight");
RooRealVar *abseta = w->var("abseta");
RooRealVar *pt = w->var("pt");
RooRealVar *mass = w->var("mass");
mass->setRange(xLow_,xHigh_);
RooRealVar *mcTrue = w->var("mcTrue");
RooRealVar *cut = w->var( category_.c_str() );
RooRealVar *signalPFChargedHadrCands = w->var("signalPFChargedHadrCands");
// build the template for the signal pass sample:
RooDataSet templateP("templateP","dataset for signal-pass template", RooArgSet(*mass,*weight,*abseta,*pt,*cut,*mcTrue,*signalPFChargedHadrCands), Import( *fullTreeSgn ), /*WeightVar( *weight ),*/ Cut( Form("(mcTrue && %s>0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()) ) );
// build the template for the signal fail sample:
RooDataSet templateF("templateF","dataset for signal-fail template", RooArgSet(*mass,*weight,*abseta,*pt,*cut,*mcTrue,*signalPFChargedHadrCands), Import( *fullTreeSgn ), /*WeightVar( *weight ),*/ Cut( Form("(mcTrue && %s<0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()) ) );
mass->setBins(24);
RooDataHist templateHistP("templateHistP","",RooArgSet(*mass), templateP, 1.0);
RooHistPdf TemplateSignalPdfP("TemplateSignalPdfP","",RooArgSet(*mass),templateHistP);
w->import(TemplateSignalPdfP);
mass->setBins(24);
RooDataHist templateHistF("templateHistF","",RooArgSet(*mass),templateF,1.0);
RooHistPdf TemplateSignalPdfF("TemplateSignalPdfF","",RooArgSet(*mass),templateHistF);
w->import(TemplateSignalPdfF);
mass->setBins(10000,"fft");
RooPlot* TemplateFrameP = mass->frame(Bins(24),Title("Template passing"));
templateP.plotOn(TemplateFrameP);
w->pdf("TemplateSignalPdfP")->plotOn(TemplateFrameP);
RooPlot* TemplateFrameF = mass->frame(Bins(24),Title("Template failing"));
templateF.plotOn(TemplateFrameF);
w->pdf("TemplateSignalPdfF")->plotOn(TemplateFrameF);
//w->factory("RooFFTConvPdf::McSignalPdfP(mass,TemplateSignalPdfP,RooTruthModel::McResolModP(mass))");
//w->factory("RooFFTConvPdf::McSignalPdfF(mass,TemplateSignalPdfF,RooTruthModel::McResolModF(mass))");
// FOR GREGORY: PROBLEM WHEN TRY TO USE THE PURE TEMPLATE =>
RooHistPdf McSignalPdfP("McSignalPdfP","McSignalPdfP",RooArgSet(*mass),templateHistP);
RooHistPdf McSignalPdfF("McSignalPdfF","McSignalPdfF",RooArgSet(*mass),templateHistF);
w->import(McSignalPdfP);
w->import(McSignalPdfF);
// FOR GREGORY: FOR DATA, CONVOLUTION IS OK =>
w->factory("RooFFTConvPdf::DataSignalPdfP(mass,TemplateSignalPdfP,RooGaussian::DataResolModP(mass,DataMeanResP[0.0,-5.,5.],DataSigmaResP[0.5,0.,10]))");
w->factory("RooFFTConvPdf::DataSignalPdfF(mass,TemplateSignalPdfF,RooGaussian::DataResolModF(mass,DataMeanResF[-5.,-10.,10.],DataSigmaResF[0.5,0.,10]))");
//w->factory("RooCBShape::DataSignalPdfF(mass,DataMeanF[91.2,88,95.],DataSigmaF[3,0.5,8],DataAlfaF[1.8,0.,10],DataNF[1.0,1e-06,10])");
//w->factory("RooFFTConvPdf::DataSignalPdfF(mass,RooVoigtian::DataVoigF(mass,DataMeanF[85,80,95],DataWidthF[2.49],DataSigmaF[3,0.5,10]),RooCBShape::DataResolModF(mass,DataMeanResF[0.5,0.,10.],DataSigmaResF[0.5,0.,10],DataAlphaResF[0.5,0.,10],DataNResF[1.0,1e-06,10]))");
//w->factory("SUM::DataSignalPdfF(fVBP[0.5,0,1]*RooBifurGauss::bifF(mass,DataMeanResF[91.2,80,95],sigmaLF[10,0.5,40],sigmaRF[0.]), RooVoigtian::voigF(mass, DataMeanResF, widthF[2.49], sigmaVoigF[5,0.1,10]) )" );
// composite model pass for MC
w->factory("SUM::McModelP(McNumSgnP*McSignalPdfP,McNumBkgP*McBackgroundPdfP)");
w->factory("SUM::McModelF(McNumSgnF*McSignalPdfF,McNumBkgF*McBackgroundPdfF)");
// composite model pass for data
w->factory("SUM::DataModelP(DataNumSgnP*DataSignalPdfP,DataNumBkgP*DataBackgroundPdfP)");
w->factory("SUM::DataModelF(DataNumSgnF*DataSignalPdfF,DataNumBkgF*DataBackgroundPdfF)");
// simultaneous fir for MC
w->factory("SIMUL::McModel(McPassing,pass=McModelP,fail=McModelF)");
// simultaneous fir for data
w->factory("SIMUL::DataModel(DataPassing,pass=DataModelP,fail=DataModelF)");
w->Print("V");
w->saveSnapshot("clean", w->allVars());
w->loadSnapshot("clean");
/****************** sim fit to soup **************************/
///////////////////////////////////////////////////////////////
TFile *f = new TFile("dummySoup.root","RECREATE");
TTree* cutTreeSoupP = fullTreeSoup->CopyTree(Form("(%s>0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()));
TTree* cutTreeSoupF = fullTreeSoup->CopyTree(Form("(%s<0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()));
RooDataSet McDataP("McDataP","dataset pass for the soup", RooArgSet(*mass), Import( *cutTreeSoupP ) );
RooDataSet McDataF("McDataF","dataset fail for the soup", RooArgSet(*mass), Import( *cutTreeSoupF ) );
RooDataHist McCombData("McCombData","combined data for the soup", RooArgSet(*mass), Index(*(w->cat("McPassing"))), Import("pass", *(McDataP.createHistogram("histoP",*mass)) ), Import("fail",*(McDataF.createHistogram("histoF",*mass)) ) ) ;
RooPlot* McFrameP = 0;
RooPlot* McFrameF = 0;
RooRealVar* McEffFit = 0;
if(makeSoupFit_){
cout << "**************** N bins in mass " << w->var("mass")->getBins() << endl;
RooFitResult* ResMcCombinedFit = w->pdf("McModel")->fitTo(McCombData, Extended(1), Minos(1), Save(1), SumW2Error( SumW2_ ), Range(xLow_,xHigh_), NumCPU(4) /*, ExternalConstraints( *(w->pdf("ConstrainMcNumBkgF")) )*/ );
test->cd(Form("bin%f",binCenter_));
ResMcCombinedFit->Write("McFitResults_Combined");
RooArgSet McFitParam(ResMcCombinedFit->floatParsFinal());
McEffFit = (RooRealVar*)(&McFitParam["McEfficiency"]);
RooRealVar* McNumSigFit = (RooRealVar*)(&McFitParam["McNumSgn"]);
RooRealVar* McNumBkgPFit = (RooRealVar*)(&McFitParam["McNumBkgP"]);
RooRealVar* McNumBkgFFit = (RooRealVar*)(&McFitParam["McNumBkgF"]);
McFrameP = mass->frame(Bins(24),Title("MC: passing sample"));
McCombData.plotOn(McFrameP,Cut("McPassing==McPassing::pass"));
w->pdf("McModel")->plotOn(McFrameP,Slice(*(w->cat("McPassing")),"pass"), ProjWData(*(w->cat("McPassing")),McCombData), LineColor(kBlue),Range(xLow_,xHigh_));
w->pdf("McModel")->plotOn(McFrameP,Slice(*(w->cat("McPassing")),"pass"), ProjWData(*(w->cat("McPassing")),McCombData), Components("McSignalPdfP"), LineColor(kRed),Range(xLow_,xHigh_));
w->pdf("McModel")->plotOn(McFrameP,Slice(*(w->cat("McPassing")),"pass"), ProjWData(*(w->cat("McPassing")),McCombData), Components("McBackgroundPdfP"), LineColor(kGreen),Range(xLow_,xHigh_));
McFrameF = mass->frame(Bins(24),Title("MC: failing sample"));
McCombData.plotOn(McFrameF,Cut("McPassing==McPassing::fail"));
w->pdf("McModel")->plotOn(McFrameF,Slice(*(w->cat("McPassing")),"fail"), ProjWData(*(w->cat("McPassing")),McCombData), LineColor(kBlue),Range(xLow_,xHigh_));
w->pdf("McModel")->plotOn(McFrameF,Slice(*(w->cat("McPassing")),"fail"), ProjWData(*(w->cat("McPassing")),McCombData), Components("McSignalPdfF"), LineColor(kRed),Range(xLow_,xHigh_));
w->pdf("McModel")->plotOn(McFrameF,Slice(*(w->cat("McPassing")),"fail"), ProjWData(*(w->cat("McPassing")),McCombData), Components("McBackgroundPdfF"), LineColor(kGreen),Range(xLow_,xHigh_));
}
///////////////////////////////////////////////////////////////
/****************** sim fit to data **************************/
///////////////////////////////////////////////////////////////
TFile *f2 = new TFile("dummyData.root","RECREATE");
TTree* cutTreeDataP = fullTreeData->CopyTree(Form("(%s>0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()));
TTree* cutTreeDataF = fullTreeData->CopyTree(Form("(%s<0.5 && %s && signalPFChargedHadrCands<1.5)",category_.c_str(),bin_.c_str()));
RooDataSet DataDataP("DataDataP","dataset pass for the soup", RooArgSet(*mass), Import( *cutTreeDataP ) );
RooDataSet DataDataF("DataDataF","dataset fail for the soup", RooArgSet(*mass), Import( *cutTreeDataF ) );
RooDataHist DataCombData("DataCombData","combined data for the soup", RooArgSet(*mass), Index(*(w->cat("DataPassing"))), Import("pass",*(DataDataP.createHistogram("histoDataP",*mass))),Import("fail",*(DataDataF.createHistogram("histoDataF",*mass)))) ;
RooFitResult* ResDataCombinedFit = w->pdf("DataModel")->fitTo(DataCombData, Extended(1), Minos(1), Save(1), SumW2Error( SumW2_ ), Range(xLow_,xHigh_), NumCPU(4));
test->cd(Form("bin%f",binCenter_));
ResDataCombinedFit->Write("DataFitResults_Combined");
RooArgSet DataFitParam(ResDataCombinedFit->floatParsFinal());
RooRealVar* DataEffFit = (RooRealVar*)(&DataFitParam["DataEfficiency"]);
RooRealVar* DataNumSigFit = (RooRealVar*)(&DataFitParam["DataNumSgn"]);
RooRealVar* DataNumBkgPFit = (RooRealVar*)(&DataFitParam["DataNumBkgP"]);
RooRealVar* DataNumBkgFFit = (RooRealVar*)(&DataFitParam["DataNumBkgF"]);
RooPlot* DataFrameP = mass->frame(Bins(24),Title("Data: passing sample"));
DataCombData.plotOn(DataFrameP,Cut("DataPassing==DataPassing::pass"));
w->pdf("DataModel")->plotOn(DataFrameP,Slice(*(w->cat("DataPassing")),"pass"), ProjWData(*(w->cat("DataPassing")),DataCombData), LineColor(kBlue),Range(xLow_,xHigh_));
w->pdf("DataModel")->plotOn(DataFrameP,Slice(*(w->cat("DataPassing")),"pass"), ProjWData(*(w->cat("DataPassing")),DataCombData), Components("DataSignalPdfP"), LineColor(kRed),Range(xLow_,xHigh_));
w->pdf("DataModel")->plotOn(DataFrameP,Slice(*(w->cat("DataPassing")),"pass"), ProjWData(*(w->cat("DataPassing")),DataCombData), Components("DataBackgroundPdfP"), LineColor(kGreen),LineStyle(kDashed),Range(xLow_,xHigh_));
RooPlot* DataFrameF = mass->frame(Bins(24),Title("Data: failing sample"));
DataCombData.plotOn(DataFrameF,Cut("DataPassing==DataPassing::fail"));
w->pdf("DataModel")->plotOn(DataFrameF,Slice(*(w->cat("DataPassing")),"fail"), ProjWData(*(w->cat("DataPassing")),DataCombData), LineColor(kBlue),Range(xLow_,xHigh_));
w->pdf("DataModel")->plotOn(DataFrameF,Slice(*(w->cat("DataPassing")),"fail"), ProjWData(*(w->cat("DataPassing")),DataCombData), Components("DataSignalPdfF"), LineColor(kRed),Range(xLow_,xHigh_));
w->pdf("DataModel")->plotOn(DataFrameF,Slice(*(w->cat("DataPassing")),"fail"), ProjWData(*(w->cat("DataPassing")),DataCombData), Components("DataBackgroundPdfF"), LineColor(kGreen),LineStyle(kDashed),Range(xLow_,xHigh_));
///////////////////////////////////////////////////////////////
if(makeSoupFit_) c->Divide(2,2);
else c->Divide(2,1);
c->cd(1);
DataFrameP->Draw();
c->cd(2);
DataFrameF->Draw();
if(makeSoupFit_){
c->cd(3);
McFrameP->Draw();
c->cd(4);
McFrameF->Draw();
}
c->Draw();
test->cd(Form("bin%f",binCenter_));
c->Write();
c2->Divide(2,1);
c2->cd(1);
TemplateFrameP->Draw();
c2->cd(2);
TemplateFrameF->Draw();
c2->Draw();
test->cd(Form("bin%f",binCenter_));
c2->Write();
// MINOS errors, otherwise HESSE quadratic errors
float McErrorLo = 0;
float McErrorHi = 0;
if(makeSoupFit_){
McErrorLo = McEffFit->getErrorLo()<0 ? McEffFit->getErrorLo() : (-1)*McEffFit->getError();
McErrorHi = McEffFit->getErrorHi()>0 ? McEffFit->getErrorHi() : McEffFit->getError();
}
float DataErrorLo = DataEffFit->getErrorLo()<0 ? DataEffFit->getErrorLo() : (-1)*DataEffFit->getError();
float DataErrorHi = DataEffFit->getErrorHi()>0 ? DataEffFit->getErrorHi() : DataEffFit->getError();
float BinomialError = TMath::Sqrt(SGNtruePass/SGNtrue*(1-SGNtruePass/SGNtrue)/SGNtrue);
Double_t* truthMC = new Double_t[6];
Double_t* tnpMC = new Double_t[6];
Double_t* tnpData = new Double_t[6];
truthMC[0] = binCenter_;
truthMC[1] = binWidth_;
truthMC[2] = binWidth_;
truthMC[3] = SGNtruePass/SGNtrue;
truthMC[4] = BinomialError;
truthMC[5] = BinomialError;
if(makeSoupFit_){
tnpMC[0] = binCenter_;
tnpMC[1] = binWidth_;
tnpMC[2] = binWidth_;
tnpMC[3] = McEffFit->getVal();
tnpMC[4] = (-1)*McErrorLo;
tnpMC[5] = McErrorHi;
}
tnpData[0] = binCenter_;
tnpData[1] = binWidth_;
tnpData[2] = binWidth_;
tnpData[3] = DataEffFit->getVal();
tnpData[4] = (-1)*DataErrorLo;
tnpData[5] = DataErrorHi;
out.push_back(truthMC);
out.push_back(tnpData);
if(makeSoupFit_) out.push_back(tnpMC);
test->Close();
//delete c; delete c2;
if(verbose_) cout << "returning from bin " << bin_ << endl;
return out;
}
