void pv_dist(const string& fFile, const string& fTitle, const string& fNameExt) {
TH1F *h;
TFile file(fFile.c_str());
TDirectoryFile *dir = (TDirectoryFile*)file.Get("offsetAnalysis");
TDirectoryFile *subDir = (TDirectoryFile*)dir->Get("PrimaryVertices");
h = (TH1F*)subDir->Get("h_NofPVs");
string name = h->GetName();
string fileName = name + "__" + fNameExt + ".png";
h->SetTitle(fTitle.c_str());
TCanvas *c = new TCanvas("c","",1120,800);
c->cd();
h->SetLineWidth(2);
h->Draw();
c->SetLogy();
c->SaveAs(fileName.c_str());
delete c;
}
std::pair<TH3F*,TH3F*> getEffHists(const char *file, const char *dirC,
const char *histN, const char *histD){
TFile *efile = new TFile(file,"read");
TDirectoryFile *efileDIR = (TDirectoryFile*) efile->GetDirectory(dirC);
TIter next(efileDIR->GetListOfKeys());
TKey *key;
Char_t name[100];
TH3F *hpneff3d=0;
TH3F *hpdeff3d=0;
while ((key=(TKey*)next())) {
sprintf(name,"%s",key->GetName());
if(strcmp((key->GetName()),(histN))==0){
//cout<<"[getEffHists] Your numerator for Eff "<<name<<endl;
hpneff3d = (TH3F*) efileDIR->Get(name);
}
if(strcmp((key->GetName()),(histD))==0){
//cout<<"[getEffHists] Your denominator for Eff "<<name<<endl;
hpdeff3d = (TH3F*) efileDIR->Get(name);
}
}
//efileDIR->Close();
//efile->Close();
return std::pair<TH3F*,TH3F*>(hpneff3d,hpdeff3d);
}
void overlay_plots(const string& fFile0, const string& fFile1, const double fYmax, const string& fPlot, const string& fLegendEnt1, const string& fLegendEnt2, const string& fName) {
TProfile *p[2];
TFile file0(fFile0.c_str());
TDirectoryFile *subDir = (TDirectoryFile*)file0.Get("offsetAnalysis");
p[0] = (TProfile*)subDir->Get(fPlot.c_str());
TFile file1(fFile1.c_str());
subDir = (TDirectoryFile*)file1.Get("offsetAnalysis");
p[1] = (TProfile*)subDir->Get(fPlot.c_str());
p[0]->SetTitleOffset(1.5,"Y");
p[0]->GetXaxis()->SetTitleSize(0.04);
p[0]->GetYaxis()->SetTitleSize(0.04);
double ymax = ((p[0]->GetMaximum())>(p[1]->GetMaximum())) ? p[0]->GetMaximum() : p[1]->GetMaximum();
p[0]->GetYaxis()->SetRangeUser(0.,fYmax);
TCanvas *c = new TCanvas("c","",800,800);
c->cd();
p[0]->SetLineWidth(3);
p[0]->SetLineColor(kRed);
p[0]->SetFillColor(kRed);
p[0]->Draw("hist");
p[1]->SetLineWidth(3);
p[1]->SetLineColor(kBlack);
p[1]->SetMarkerStyle(20);
p[1]->SetMarkerColor(kBlack);
p[1]->Draw("sames");
TLegend *legend = new TLegend(.57,.77,.9,.87);
legend->SetBorderSize(1);
legend->SetFillColor(0);
// legend->SetFillStyle(0);
legend->SetMargin(0.12);
legend->AddEntry(p[0],fLegendEnt1.c_str(),"l");
legend->AddEntry(p[1],fLegendEnt2.c_str(),"l");
legend->Draw();
TLatex l;
l.SetTextAlign(12);
l.SetTextSize(0.04);
l.SetTextFont(62);
l.SetNDC();
l.DrawLatex(0.15,0.85,"CMS 2009 Preliminary");
string fileName = fName;
c->SetGridy();
c->SaveAs(fileName.c_str());
delete legend;
delete c;
}
int
main (int argc, char *argv[])
{
map<string, string> opt;
vector<string> argVector;
parseOptions (argc, argv, opt, argVector);
if (argVector.size () != 1 || opt.count ("help"))
{
printHelp (argv[0]);
return 0;
}
TFile *fin;
if (!(fin = TFile::Open (argVector.at (0).c_str (), "update")))
{
cout << "Failed to open " << argVector.at (0) << "!" << endl;
return 0;
}
TIter next0 (fin->GetListOfKeys ());
TObject *obj0;
TH1D *cutFlow = 0;
TDirectoryFile *dir = 0;
while ((obj0 = next0 ()))
{
string obj0Class = ((TKey *) obj0)->GetClassName (),
obj0Name = obj0->GetName ();
if (obj0Class == "TDirectoryFile")
{
dir = (TDirectoryFile *) fin->Get (obj0Name.c_str ());
TIter next1 (dir->GetListOfKeys ());
TObject *obj1;
while ((obj1 = next1 ()))
{
string obj1Class = ((TKey *) obj1)->GetClassName (),
obj1Name = obj1->GetName ();
if (obj1Class == "TH1D" && obj1Name.length () >= 7 && ((obj1Name.substr (obj1Name.length () - 7, 7) == "CutFlow" || obj1Name.substr (obj1Name.length () - 7, 7) == "cutFlow")
|| (obj1Name.length () >= 9 && (obj1Name.substr (obj1Name.length () - 9, 9) == "Selection" || obj1Name.substr (obj1Name.length () - 9, 9) == "selection"))
|| (obj1Name.length () >= 8 && (obj1Name.substr (obj1Name.length () - 8, 8) == "MinusOne" || obj1Name.substr (obj1Name.length () - 8, 8) == "minusOne")))
&& !dir->Get ((obj1Name + "LowerLimit").c_str ()) && !dir->Get ((obj1Name + "UpperLimit").c_str ()))
{
cutFlow = (TH1D *) dir->Get (obj1Name.c_str ());
cutFlow->SetDirectory (0);
getLimits (cutFlow, dir);
}
}
}
}
fin->Close ();
return 0;
}
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 plotProducer2(const string& fFile, const string& fPlot, const string& fNameExt, const string& fExt, const string& fSwitch) {
TH2F *h;
TFile file(fFile.c_str());
TDirectoryFile *dir = (TDirectoryFile*)file.Get("offsetAnalysis");
TDirectoryFile *subDir = (TDirectoryFile*)dir->Get("PrimaryVertices");
h = (TH2F*)subDir->Get(fPlot.c_str());
string name = h->GetName();
string fileName = name + "__" + fNameExt + "." + fExt;
TCanvas *c = new TCanvas("c","",1120,800);
c->cd();
h->Draw(fSwitch.c_str());
c->SaveAs(fileName.c_str());
delete c;
}
void plotProducer(const string& fFile, const string& fPlot, const string& fNameExt, const string& fExt, const string& fSwitch) {
TH1F *h;
TFile file(fFile.c_str());
TDirectoryFile *dir = (TDirectoryFile*)file.Get("offsetAnalysis");
TDirectoryFile *subDir = (TDirectoryFile*)dir->Get("PrimaryVertices");
h = (TH1F*)subDir->Get(fPlot.c_str());
string name = h->GetName();
string fileName = name + "__" + fNameExt + "." + fExt;
TCanvas *c = new TCanvas("c","",1120,800);
c->cd();
//h->SetLineWidth(2);
h->Draw();
if ( fSwitch.find("log") != string::npos ) c->SetLogy();
c->SaveAs(fileName.c_str());
delete c;
}
int GetCoefficient(TString txtFile, 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"));
//cout << __FILE__ << __LINE__ << endl;
//Cell Tower range to analyse
const Int_t CVALow = 0;
const Int_t CVAHigh = 17670;
//cout << __FILE__ << __LINE__ << endl;
//Obtaining a histogram of the Good cells.
TList* goodHistList = new TList;
ifstream goodFile(txtFile);
int numCells = 0;
if(goodFile.is_open())
{
//cout << __FILE__ << __LINE__ << endl;
string line = "";
std::getline(goodFile,line);
int index = 0;
double chi2 = 0.0;
//cout << __FILE__ << __LINE__ << endl;
//for(index = 0; index < 3; index++)
while(goodFile >> index >> chi2)
{
//cout << Form("cell%d",index) << endl;
TH1D* cell = cellVAmplitude->ProjectionY(Form("cell%d",index),index+1,index+1);
goodHistList->Add(cell);
numCells++;
}
}
// Noise section
Stat_t AnalysisClass::doHisto(Char_t * Variable, Char_t *SubDetName, Char_t *Layer,Char_t *label){
TH1 *hHisto=0;
if (debug) cout << d1->GetTitle() << " " << Variable << " " << SubDetName << endl;
pPar[0]=0; pPar[1]=0;
TIter it(d1->GetListOfKeys());
TObject * o;
while ( (o = it()))
{
TObject * d = d1->Get(o->GetName());
if(d->IsA()->InheritsFrom("TDirectory") && strstr(d->GetName(),SubDetName)){
if (debug) cout << "Found SubDet " << SubDetName << endl;
TIter it2(((TDirectoryFile * )d)->GetListOfKeys());
TObject *o2;
while( ( o2 = it2()) ){
TObject *d2 = ((TDirectoryFile * )d)->Get(o2->GetName());
if(d2->IsA()->InheritsFrom("TDirectory") && strstr(d2->GetName(),Layer) ){
if (debug) cout << "Found Layer" << Layer << endl;
TIter it3(((TDirectoryFile * )d2)->GetListOfKeys());
TObject *o3;
while( ( o3 = it3()) ){
TObject *d3 = ((TDirectoryFile * )d2)->Get(o3->GetName());
if(strstr(d3->GetName(),Variable) && strstr(d3->GetName(),label)){
hHisto = (TH1*) d3;
if(hHisto->GetEntries()!=0) {
pPar[0]=hHisto->GetMean();
pPar[1]=hHisto->GetRMS();
if (debug) cout << "Histo Title " << hHisto->GetTitle() << " mean: " << hHisto->GetMean() << " rms: " << hHisto->GetRMS() << " " << hHisto->GetEntries() << endl;
}
else{
cout<<"Empty Histogram "<< hHisto->GetTitle() << endl;
pPar[0]=-10; pPar[1]=-10;
}
}
}
}
}
}
}
return hHisto->GetEntries();
}
Stat_t AnalysisClass::doFit(Int_t RunNumber,Char_t *Variable, Char_t *SubDetName, Char_t *Layer,Char_t *label){
TH1 *htoFit=0;
pLanGausS[0]=0; pLanGausS[1]=0; pLanGausS[2]=0; pLanGausS[3]=0;
epLanGausS[0]=0; epLanGausS[1]=0; epLanGausS[2]=0; epLanGausS[3]=0;
if (debug) cout << d1->GetTitle() << " " << Variable << " " << SubDetName << endl;
pPar[0]=0; pPar[1]=0;
TIter it(d1->GetListOfKeys());
TObject * o;
while ( (o = it()))
{
TObject * d = d1->Get(o->GetName());
if(d->IsA()->InheritsFrom("TDirectory") && strstr(d->GetName(),SubDetName)){
if (debug) cout << "Found " << SubDetName << endl;
TIter it2(((TDirectoryFile * )d)->GetListOfKeys());
TObject *o2;
while( ( o2 = it2()) ){
TObject *d2 = ((TDirectoryFile * )d)->Get(o2->GetName());
if(d2->IsA()->InheritsFrom("TDirectory") && strstr(d2->GetName(),Layer) ){
if (debug) cout << "Found Layer" << Layer << endl;
TIter it3(((TDirectoryFile * )d2)->GetListOfKeys());
TObject *o3;
while( ( o3 = it3()) ){
TObject *d3 = ((TDirectoryFile * )d2)->Get(o3->GetName());
if(strstr(d3->GetName(),Variable) && strstr(d3->GetName(),label)){
htoFit = (TH1*) d3;
if (debug) cout << "Found " << Variable << endl;
if (htoFit->GetEntries()!=0) {
cout<<"Fitting "<< htoFit->GetTitle() <<endl;
// Setting fit range and start values
Double_t fr[2];
Double_t sv[4], pllo[4], plhi[4];
fr[0]=0.5*htoFit->GetMean();
fr[1]=3.0*htoFit->GetMean();
// (EM) parameters setting good for signal only
Int_t imax=htoFit->GetMaximumBin();
Double_t xmax=htoFit->GetBinCenter(imax);
Double_t ymax=htoFit->GetBinContent(imax);
Int_t i[2];
Int_t iArea[2];
i[0]=htoFit->GetXaxis()->FindBin(fr[0]);
i[1]=htoFit->GetXaxis()->FindBin(fr[1]);
iArea[0]=htoFit->GetXaxis()->FindBin(fr[0]);
iArea[1]=htoFit->GetXaxis()->FindBin(fr[1]);
Double_t AreaFWHM=htoFit->Integral(iArea[0],iArea[1],"width");
sv[1]=xmax;
sv[2]=htoFit->Integral(i[0],i[1],"width");
sv[3]=AreaFWHM/(4*ymax);
sv[0]=sv[3];
plhi[0]=25.0; plhi[1]=200.0; plhi[2]=1000000.0; plhi[3]=50.0;
pllo[0]=1.5 ; pllo[1]=10.0 ; pllo[2]=1.0 ; pllo[3]= 1.0;
// create different landau+gaussians for different runs
Char_t FunName[100];
sprintf(FunName,"FitfcnLG_%s%d",htoFit->GetName(),fRun);
TF1 *ffitold = (TF1*)gROOT->GetListOfFunctions()->FindObject(FunName);
if (ffitold) delete ffitold;
langausFit = new TF1(FunName,langaufun,fr[0],fr[1],4);
langausFit->SetParameters(sv);
langausFit->SetParNames("Width","MP","Area","GSigma");
for (Int_t i=0; i<4; i++) {
langausFit->SetParLimits(i,pllo[i],plhi[i]);
}
htoFit->Fit(langausFit,"R0"); // "R" fit in a range,"0" quiet fit
langausFit->SetRange(fr[0],fr[1]);
pLanGausS=langausFit->GetParameters();
epLanGausS=langausFit->GetParErrors();
chi2GausS =langausFit->GetChisquare(); // obtain chi^2
nDofGausS = langausFit->GetNDF(); // obtain ndf
Double_t sPeak, sFWHM;
langaupro(pLanGausS,sPeak,sFWHM);
pLanConv[0]=sPeak;
pLanConv[1]=sFWHM;
cout << "langaupro: max " << sPeak << endl;
cout << "langaupro: FWHM " << sFWHM << endl;
TCanvas *cAll = new TCanvas("Fit",htoFit->GetTitle(),1);
Char_t fitFileName[60];
sprintf(fitFileName,"Fits/Run_%d/%s/Fit_%s.png",RunNumber,SubDetName,htoFit->GetTitle());
htoFit->Draw("pe");
htoFit->SetStats(100);
langausFit->Draw("lsame");
gStyle->SetOptFit(1111111);
cAll->Print(fitFileName,"png");
}
else {
pLanGausS[0]=-10; pLanGausS[1]=-10; pLanGausS[2]=-10; pLanGausS[3]=-10;
epLanGausS[0]=-10; epLanGausS[1]=-10; epLanGausS[2]=-10; epLanGausS[3]=-10;
pLanConv[0]=-10; pLanConv[1]=-10; chi2GausS=-10; nDofGausS=-10;
}
}
}
}
}
}
}
return htoFit->GetEntries();
}
void advancedNoiseAnalysis( unsigned int runNumber, unsigned int loop = 1) {
string inputFileName = "./histo/run00" + toString( runNumber ) + "-ped-histo.root";
string outputFileName = "./histo/run00" + toString( runNumber ) + "-adv-noise.root";
// before opening the input and the output files, try to see if they
// are not opened yet and in case close them before continue
TList * listOfOpenedFile = (TList*) gROOT->GetListOfFiles();
for ( int i = 0; i < listOfOpenedFile->GetSize() ; ++i ) {
TFile * file = (TFile*) listOfOpenedFile->At( i ) ;
TString fileName(file->GetName());
TString inputFileName1( inputFileName.c_str() );
TString outputFileName1( outputFileName.c_str() );
if ( ( fileName.Contains( inputFileName1 ) ) ||
( inputFileName1.Contains( fileName ) ) ||
( fileName.Contains( outputFileName1 ) ) ||
( outputFileName1.Contains( fileName ) ) ) {
cout << "Closing " << fileName << " before reopen " << endl;
file->Close();
}
}
// close also all the previously opened canvas
TList * listOfOpenedCanvas = (TList*) gROOT->GetListOfCanvases();
for ( int i = 0 ; i < listOfOpenedCanvas->GetSize() ; ++i ) {
TCanvas * canvas = (TCanvas*) listOfOpenedCanvas->At( i );
TString canvasName2 = canvas->GetName();
if ( canvasName2.Contains( "det" ) ) {
canvas->Close();
}
}
// now safely open the file
TFile * inputFile = TFile::Open( inputFileName.c_str() ) ;
TFile * outputFile = TFile::Open( outputFileName.c_str(), "RECREATE") ;
TList * outputHistoList = new TList;
// look into the inputFile for a folder named
string pedeProcessorFolderName = "PedestalAndNoiseCalculator";
TDirectoryFile * pedeProcessorFolder = (TDirectoryFile*) inputFile->Get( pedeProcessorFolderName.c_str() );
if ( pedeProcessorFolder == 0 ) {
cerr << "No pedestal processor folder found in file " << inputFileName << endl;
return ;
}
// this folder should contain one folder for each loop.
string loopFolderName = "loop-" + toString( loop );
TDirectoryFile * loopFolder = (TDirectoryFile *) pedeProcessorFolder->Get( loopFolderName.c_str() );
if ( loopFolder == 0 ) {
cerr << "No " << loopFolderName << " found in file " << inputFileName << endl;
return ;
}
// guess the number of sensors from the number of subfolder in the loopfolder
size_t nDetector = loopFolder->GetListOfKeys()->GetSize();
cout << "This file contains " << nDetector << " detectors" << endl;
// prepare arrays to store the mean and the rms of the noise distribution
if ( noiseMean == NULL ) {
delete [] noiseMean;
noiseMean = NULL;
}
if ( noiseRMS == NULL ) {
delete [] noiseRMS;
noiseRMS = NULL;
}
if ( channel == NULL ) {
delete [] channel;
channel = NULL;
}
noiseMean = new double[ nDetector * kNChan ];
noiseRMS = new double[ nDetector * kNChan ];
channel = new double[ kNChan ];
string canvasName = "comparison";
string canvasTitle = "Noise comparison";
TCanvas * comparisonCanvas = new TCanvas( canvasName.c_str(), canvasTitle.c_str(), 1000, 500 );
comparisonCanvas->Divide(1,2);
TPad * topPad = (TPad*) comparisonCanvas->cd(1);
topPad->Divide( nDetector );
TPad * middlePad = (TPad *) comparisonCanvas->cd(2);
middlePad->Divide( kNChan );
// for each detector we have to get the noise map and to prepare 4
// separe histos and maps
for ( unsigned int iDetector = 0; iDetector < nDetector; iDetector++ ) {
// get the noise map.
string noiseMapName = "detector-" + toString( iDetector ) ;
noiseMapName += "/NoiseMap-d" + toString( iDetector ) ;
noiseMapName += "-l" + toString( loop ) ;
TH2D * noiseMap = ( TH2D* ) loopFolder->Get( noiseMapName.c_str() );
// create a folder in the output file
TDirectory * subfolder = outputFile->mkdir( string( "detector_" + toString( iDetector ) ).c_str(),
string( "detector_" + toString( iDetector ) ).c_str()
);
subfolder->cd();
string canvasName = "det" + toString( iDetector );
string canvasTitle = "Detector " + toString( iDetector );
TCanvas * canvas = new TCanvas( canvasName.c_str(), canvasTitle.c_str(), 1000, 500 );
canvas->Divide( kNChan, 2 );
// ok now start the loop on channels
for ( size_t iChan = 0 ; iChan < kNChan ; ++iChan ) {
if ( iDetector == 0 ) channel[iChan] = iChan - 0.5;
string tempName = "NoiseMap_d" + toString( iDetector ) + "_l" + toString( loop ) + "_ch" + toString( iChan ) ;
string tempTitle = "NoiseMap Det. " + toString( iDetector ) + " - Ch. " + toString( iChan ) ;
TH2D * noiseMapCh = new TH2D ( tempName.c_str() , tempTitle.c_str(),
kXPixel / kNChan , -0.5 + xLimit[ iChan ] , -0.5 + xLimit[ iChan + 1 ],
kYPixel, -0.5, -0.5 + kYPixel );
noiseMapCh->SetXTitle("X [pixel]");
noiseMapCh->SetYTitle("Y [pixel]");
noiseMapCh->SetZTitle("Noise [ADC]");
noiseMapCh->SetStats( false );
outputHistoList->Add( noiseMapCh ) ;
tempName = "NoiseDist_d" + toString( iDetector ) + "_l" + toString( loop ) + "_ch" + toString( iChan ) ;
tempTitle = "NoiseDist Det. " + toString( iDetector ) + " - Ch. " + toString( iChan ) ;
TH1D * noiseDistCh = new TH1D( tempName.c_str(), tempTitle.c_str(), 50, 0., 10. );
noiseDistCh->SetXTitle("Noise [ADC]");
noiseDistCh->SetLineColor( kColor[iDetector] );
noiseDistCh->SetLineStyle( iChan + 2 );
noiseDistCh->SetLineWidth( 2 );
outputHistoList->Add( noiseDistCh );
// let's start looping on pixels now
for ( size_t yPixel = 1 ; yPixel <= kYPixel ; ++yPixel ) {
for ( size_t xPixel = xLimit[ iChan ] + 1; xPixel <= xLimit[ iChan +1 ] ; ++xPixel ) {
double noise = noiseMap->GetBinContent( xPixel , yPixel );
noiseMapCh->Fill( xPixel - 1 , yPixel - 1, noise );
noiseDistCh->Fill( noise );
}
}
canvas->cd( iChan + 1 ) ;
noiseMapCh->Draw("colz");
canvas->cd( iChan + kNChan + 1 );
noiseDistCh->Draw();
topPad->cd( iDetector + 1 );
if ( iChan == 0 ) {
noiseDistCh->Draw();
} else {
noiseDistCh->Draw("same");
}
middlePad->cd( iChan + 1 );
if ( iDetector == 0 ) {
noiseDistCh->Draw();
} else {
noiseDistCh->Draw("same");
}
noiseMean[ kNChan * iDetector + iChan ] = noiseDistCh->GetMean();
noiseRMS[ kNChan * iDetector + iChan ] = noiseDistCh->GetRMS();
}
canvas->Write();
}
canvasName = "summary";
canvasTitle = "Noise summary";
TCanvas * summaryCanvas = new TCanvas( canvasName.c_str(), canvasTitle.c_str(), 1000, 500 );
summaryCanvas->SetGridx(1);
TLegend * legend = new TLegend(0.5, 4.8, 1.5, 4.3,"","br");;
for ( size_t iDetector = 0 ; iDetector < nDetector ; ++iDetector ) {
TGraphErrors * gr = new TGraphErrors( kNChan, channel, &noiseMean[ iDetector * kNChan ], NULL, &noiseRMS[ iDetector * kNChan ] );
gr->SetName( string( "NoisePerChannel_d" + toString( iDetector )).c_str());
gr->SetTitle(string("Detector " + toString( iDetector )).c_str());
gr->GetXaxis()->SetTitle("Channel #");
gr->GetYaxis()->SetTitle("Noise [ADC]");
gr->GetXaxis()->SetNdivisions( 5 );
gr->GetXaxis()->SetLabelSize( 0 );
gr->SetMarkerStyle( iDetector + 1 );
gr->SetMarkerColor( kColor[iDetector] );
gr->SetLineColor( kColor[iDetector] );
gr->SetLineWidth( 2 );
legend->AddEntry( gr, string("Detector " + toString( iDetector )).c_str(), "LP");
if ( iDetector == 0 ) {
gr->Draw("ALP");
} else {
gr->Draw("LP");
}
}
legend->Draw();
for ( size_t iChan = 0 ; iChan < kNChan ; ++iChan ) {
TPaveLabel * label = new TPaveLabel( iChan - 0.75 , 3.2 , iChan -0.25 , 3, string("Ch " + toString( iChan ) ).c_str());
label->Draw();
}
summaryCanvas->Write();
comparisonCanvas->Write();
outputHistoList->Write();
}
void RebinCFContainer(const char *infile="AnalysisResults.root",Int_t rebinVar=0, Int_t myEff=3, const char * name="Nch"){
gSystem->SetIncludePath("-I. -I$ALICE_ROOT -I$ALICE_ROOT/include -I$ALICE_PHYSICS -I$ALICE_PHYSICS/include -I$ALICE_ROOT/ITS -I$ALICE_ROOT/TPC -I$ALICE_ROOT/RAW -I$ALICE_ROOT/CONTAINERS -I$ALICE_ROOT/STEER/STEER -I$ALICE_ROOT/STEER/STEERBase -I$ALICE_ROOT/STEER/ESD -I$ALICE_ROOT/STEER/AOD -I$ALICE_ROOT/TRD -I$ALICE_ROOT/macros -I$ALICE_ROOT/ANALYSIS -I$ALICE_PHYSICS/PWGPP -g");
// gROOT->LoadMacro("AliSingleTrackEffCuts.cxx++g");
// gROOT->LoadMacro("AliCFSingleTrackEfficiencyTask.cxx++g");
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
gStyle->SetPalette(1);
gStyle->SetCanvasColor(0);
gStyle->SetFrameFillColor(0);
gStyle->SetOptTitle(0);
TFile* file = TFile::Open(infile,"read");
TDirectoryFile *d = 0;
AliCFContainer *dataIni = 0;
d = (TDirectoryFile*)file->Get(Form("PWGPP_CFSingleTrack"));
if(!d) {
cout<<" no directory "<<endl;
return;
}
dataIni = (AliCFContainer*) (d->Get(Form("container%s",name)));
if(!dataIni){
cout <<" no container"<<endl;
}
//
// Do an slice of the container to make sure to remove outliers
//
const UInt_t ipt = 0;
const UInt_t ieta = 1;
const UInt_t iphi = 2;
const UInt_t itheta = 3;
const UInt_t izvtx = 4;
const UInt_t imult = 5;
const UInt_t icent = 6;
Int_t nvars = 7;
Int_t* ivarSlice = new Int_t[nvars];
ivarSlice[0]= ipt; ivarSlice[1] = ieta; ivarSlice[2] = iphi; ivarSlice[3] = itheta;
ivarSlice[4]= izvtx; ivarSlice[5] = imult; ivarSlice[6] = icent;
Double_t *mins = new Double_t[nvars];
Double_t *maxs = new Double_t[nvars];
mins[ipt] = ptmin; maxs[ipt] = ptmax;
mins[ieta] = etamin; maxs[ieta] = etamax;
mins[iphi] = phimin; maxs[iphi] = phimax;
mins[itheta] = thetamin; maxs[itheta] = thetamax;
mins[izvtx] = zvtxmin; maxs[izvtx] = zvtxmax;
mins[imult] = multmin; maxs[imult] = multmax;
mins[icent] = centmin; maxs[icent] = centmax;
AliCFContainer *data = (AliCFContainer*)dataIni->MakeSlice(nvars,ivarSlice,mins,maxs);
cout<< " ... slice done"<<endl;
cout<< " the new container has "<< data->GetNStep() << " steps"<<endl;
//
// *********** NUMERATOR
//
AliCFGridSparse* gridSparse = 0;
if( myEff == 1 ) gridSparse = (AliCFGridSparse*)data->GetGrid(1); // GenAcc
else if( myEff == 2 ) gridSparse = (AliCFGridSparse*)data->GetGrid(6); // Rec (acc + cuts) draw reco properties
else if( myEff == 3 ) gridSparse = (AliCFGridSparse*)data->GetGrid(7); // RecPID
else if( myEff == 4 ) gridSparse = (AliCFGridSparse*)data->GetGrid(3); // Rec (no cuts)
else if( myEff == 5 ) gridSparse = (AliCFGridSparse*)data->GetGrid(4); // RecAcc
else if( myEff == 6 ) gridSparse = (AliCFGridSparse*)data->GetGrid(5); // Rec (acc + cuts) draw kine properties
THnSparse* numData = (THnSparse*)gridSparse->GetGrid();
// method 2: defining a new THnSparse changing only the axis of interest
Printf("Method 2 ");
THnSparse* newnumData = (THnSparse*)numData->Clone("numNew");
newnumData->Reset();
Int_t nLimits=0;
Double_t* newLimits =0;
TString varname="";
if(rebinVar==0) {
varname="pt";
nLimits = 17;
newLimits = new Double_t[nLimits+1];
newLimits[0]=0;
newLimits[1]=0.25;
newLimits[2]=0.5;
newLimits[3]=0.75;
newLimits[4]=1;
newLimits[5]=1.5;
newLimits[6]=2;
newLimits[7]=2.5;
newLimits[8]=3;
newLimits[9]=4;
newLimits[10]=5;
newLimits[11]=6;
newLimits[12]=7;
newLimits[13]=8;
newLimits[14]=10;
newLimits[15]=12;
newLimits[16]=14;
newLimits[17]=16;
} else if (rebinVar==1) {
varname="eta";
nLimits = 9;
newLimits = new Double_t[nLimits+1];
newLimits[0]=-0.9;
newLimits[1]=-0.7;
newLimits[2]=-0.5;
newLimits[3]=-0.3;
newLimits[4]=-0.1;
newLimits[5]=0.1;
newLimits[6]=0.3;
newLimits[7]=0.5;
newLimits[8]=0.7;
newLimits[9]=0.9;
} else if (rebinVar==2) {
varname="phi";
nLimits = 9;
newLimits = new Double_t[nLimits+1];
for(Int_t i=0; i<=nLimits; i++) newLimits[i]=(Double_t)phimin + (phimax-phimin)/nLimits*(Double_t)i ;
}
const Int_t nnewLimits = nLimits;
TAxis* axis = (TAxis*)newnumData->GetAxis(rebinVar);
axis->Set(nnewLimits,newLimits);
newnumData->SetBinEdges(rebinVar,newLimits);
newnumData->RebinnedAdd(numData, 1);
// checking the bin contents
TH1D* h1 = (TH1D*)numData->Projection(rebinVar);
Float_t sum = 0;
Float_t sumnew = 0;
Printf("Original THnSparse");
for (Int_t ibin = 1; ibin<=h1->GetNbinsX(); ibin++){
Printf("ibin = %d, low edge = %f, content = %f",ibin,h1->GetBinLowEdge(ibin),h1->GetBinContent(ibin));
sum+=h1->GetBinContent(ibin);
}
Printf("THnSparse changing only one axis");
TH1D* h2num = (TH1D*)newnumData->Projection(rebinVar);
for (Int_t ibin = 1; ibin<=h2num->GetNbinsX(); ibin++){
Printf("ibin = %d, low edge = %f, content = %f",ibin,h2num->GetBinLowEdge(ibin),h2num->GetBinContent(ibin));
sumnew+=h2num->GetBinContent(ibin);
}
Printf("sum = %f, sumnew = %f",sum, sumnew);
//
// *********** DENOMINATOR RECPID
//
Printf("DENOMINATOR");
AliCFGridSparse* gridSparse2 = 0;
if( myEff == 1 ) gridSparse2 = (AliCFGridSparse*)data->GetGrid(0); // LimAcc
else gridSparse2 = (AliCFGridSparse*)data->GetGrid(1); // GenAcc
THnSparse* denData = (THnSparse*)gridSparse2->GetGrid();
// method 2: defining a new THnSparse changing only the axis of interest
Printf("Method 2 ");
THnSparse* newdenData = (THnSparse*)denData->Clone("denNew");
newdenData->Reset();
TAxis* axis2 = (TAxis*)newdenData->GetAxis(rebinVar);
axis2->Set(nnewLimits,newLimits);
newdenData->SetBinEdges(rebinVar,newLimits);
newdenData->RebinnedAdd(denData, 1);
// checking the bin contents
TH1D* h1d = (TH1D*)denData->Projection(rebinVar);
sum = 0;
sumnew = 0;
Printf("Original THnSparse");
for (Int_t ibin = 1; ibin<=h1d->GetNbinsX(); ibin++){
Printf("ibin = %d, low edge = %f, content = %f",ibin,h1d->GetBinLowEdge(ibin),h1d->GetBinContent(ibin));
sum+=h1d->GetBinContent(ibin);
}
Printf("THnSparse changing only one axis");
TH1D* h2 = (TH1D*)newdenData->Projection(rebinVar);
for (Int_t ibin = 1; ibin<=h2->GetNbinsX(); ibin++){
Printf("ibin = %d, low edge = %f, content = %f",ibin,h2->GetBinLowEdge(ibin),h2->GetBinContent(ibin));
sumnew+=h2->GetBinContent(ibin);
}
Printf("sum = %f, sumnew = %f",sum, sumnew);
TH1D* heff = (TH1D*)h2num->Clone("heff");
heff->Divide(h2num, h2,1,1,"B");
// heff->GetXaxis()->SetRangeUser(0,23.5);
TFile* fout = NULL;
if( myEff == 1 ) {
fout = new TFile(Form("efficiency_STE_GenAcc_over_LimAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFLimAccGenAcc",varname.Data()));
h2num->Write(Form("h_%s_LimAcc",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
else if( myEff == 2 ) {
fout = new TFile(Form("efficiency_STE_RecPPR_over_GenAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFRecPPRGenAcc",varname.Data()));
h2num->Write(Form("h_%s_RecPPR",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
else if( myEff == 3 ) {
fout = new TFile(Form("efficiency_STE_RecPID_over_GenAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFRecPIDGenAcc",varname.Data()));
h2num->Write(Form("h_%s_RecPID",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
else if( myEff == 4 ) {
fout = new TFile(Form("efficiency_STE_Rec_over_GenAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFRecGenAcc",varname.Data()));
h2num->Write(Form("h_%s_Rec",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
else if( myEff == 5 ) {
fout = new TFile(Form("efficiency_STE_RecAcc_over_GenAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFRecAccGenAcc",varname.Data()));
h2num->Write(Form("h_%s_RecAcc",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
else if( myEff == 6 ) {
fout = new TFile(Form("efficiency_STE_RecPPRKine_over_GenAcc_rebinned_%d_%s.root",rebinVar,name),"RECREATE");
heff->Write(Form("h_%s_effCFRecPPRKineGenAcc",varname.Data()));
h2num->Write(Form("h_%s_RecPPRKine",varname.Data()));
h2->Write(Form("h_%s_GenAcc",varname.Data()));
}
fout->Close();
}
void readMCPerform(TString filename="QAresults_AOD.root", Int_t drawOnlyDzerDplus = 1, Int_t runNumber=-1)
{
const Int_t totTrending=5;
Float_t vecForTrend[totTrending];
TString varForTrending[totTrending]={"nDzeroCandperEv","nDplusCandperEv","nDsCandperEv","nLcCandperEv","nDstarCandperEv"};
TTree* trtree=new TTree("trendingHF","tree of trending variables");
trtree->Branch("nrun",&runNumber,"nrun/I");
for(Int_t j=0; j<totTrending; j++){
trtree->Branch(varForTrending[j].Data(),&vecForTrend[j],Form("%s/F",varForTrending[j].Data()));
vecForTrend[j]=-99.;
}
TFile *ff = new TFile(filename.Data());
Int_t color[5] = {kBlack, kRed, kGreen, kBlue, kOrange};
TDirectoryFile *dirD2H = (TDirectoryFile *)ff->Get("PWG3_D2H_QA");
if(!dirD2H){
printf("Directory PWG3_D2H_QA not found in file %s\n",filename.Data());
return;
}
TList *listD2H = (TList *)dirD2H->Get("nEntriesQA");
if(!listD2H){
printf("TList nEntriesQA not found in file %s\n",filename.Data());
return;
}
TH1F *hNentries = (TH1F *)listD2H->FindObject("hNentries");
TH2F *hHasSelBit = (TH2F *)listD2H->FindObject("HasSelBit");
TCanvas *cqa = new TCanvas("cqa", "cqa", 800, 500);
cqa->Divide(2, 1);
cqa->cd(1);
hNentries->Draw();
cqa->cd(2);
hHasSelBit->Draw("colz");
cqa->SaveAs("plot_D2HQA.png");
Double_t nEv=hNentries->GetBinContent(10);
vecForTrend[0]=hHasSelBit->GetBinContent(1)/nEv;
vecForTrend[1]=hHasSelBit->GetBinContent(2)/nEv;
vecForTrend[2]=hHasSelBit->GetBinContent(3)/nEv;
vecForTrend[3]=hHasSelBit->GetBinContent(4)/nEv;
vecForTrend[4]=hHasSelBit->GetBinContent(5)/nEv;
TDirectoryFile *dir = (TDirectoryFile *)ff->Get("PWGHF_D2H_MCPerform");
TList* list = 0x0;
if (dir)
{
list = (TList *)dir->Get("coutputDperfQA");
if(list){
TH1F *hn = (TH1F *)list->FindObject("fHistNEvents");
TH1F *hnGenD = (TH1F *)list->FindObject("fHistNGenD");
Int_t entries = hn->GetBinContent(3);
TH2F *fHistNCand = (TH2F *)list->FindObject("fHistNCand");
TH1F *fHistNCandDzero = (TH1F *)fHistNCand->ProjectionY("fHistNCandDzero", 1, 1);
TH1F *fHistNCandDplus = (TH1F *)fHistNCand->ProjectionY("fHistNCandDplus", 2, 2);
TH1F *fHistNCandDstar = (TH1F *)fHistNCand->ProjectionY("fHistNCandDstar", 3, 3);
TH1F *fHistNCandDs = (TH1F *)fHistNCand->ProjectionY("fHistNCandDs", 4, 4);
TH1F *fHistNCandLc = (TH1F *)fHistNCand->ProjectionY("fHistNCandLc", 5, 5);
TString names[5] = {"Dzero", "Dplus", "Dstar", "Ds", "Lc2pkpi"};
TString type[2] = {"Prompt", "Feeddown"};
const Int_t nDecays = 5;
TH2F *fHistXvtxResVsPt[2 * nDecays];
TH2F *fHistYvtxResVsPt[2 * nDecays];
TH2F *fHistZvtxResVsPt[2 * nDecays];
TH2F *fHistInvMassVsPt[2 * nDecays];
TH2F *fHistDecLenVsPt[2 * nDecays];
TH2F *fHistNormDLxyVsPt[2 * nDecays];
TH2F *fHistCosPointVsPt[2 * nDecays];
TH3F *fHistPtYMultGenDauInAcc[2 * nDecays];
TH3F *fHistPtYMultRecoFilt[2 * nDecays];
TProfile *fHistXvtxRes[2 * nDecays];
TProfile *fHistYvtxRes[2 * nDecays];
TProfile *fHistZvtxRes[2 * nDecays];
TProfile *fHistXvtxMean[2 * nDecays];
TProfile *fHistYvtxMean[2 * nDecays];
TProfile *fHistZvtxMean[2 * nDecays];
TH1F *fHistXvtxRes2[2 * nDecays];
TH1F *fHistYvtxRes2[2 * nDecays];
TH1F *fHistZvtxRes2[2 * nDecays];
TProfile *fHistInvMass[2 * nDecays];
TProfile *fHistDecLen[2 * nDecays];
TProfile *fHistCosp[2 * nDecays];
TH1F *fHistInvMassRes[2 * nDecays];
TH1F *hEffPt[2 * nDecays];
TH1F *htemp;
for (Int_t j = 0; j < 5; j++)
{ //decays
for (Int_t i = 0; i < 2; i++)
{ //prompt and fd
Int_t index = j * 2 + i;
fHistXvtxResVsPt[index] = (TH2F *)list->FindObject(Form("hXvtxResVsPt%s%s", type[i].Data(), names[j].Data()));
fHistYvtxResVsPt[index] = (TH2F *)list->FindObject(Form("hYvtxResVsPt%s%s", type[i].Data(), names[j].Data()));
fHistZvtxResVsPt[index] = (TH2F *)list->FindObject(Form("hZvtxResVsPt%s%s", type[i].Data(), names[j].Data()));
fHistInvMassVsPt[index] = (TH2F *)list->FindObject(Form("hInvMassVsPt%s%s", type[i].Data(), names[j].Data()));
fHistDecLenVsPt[index] = (TH2F *)list->FindObject(Form("hDecLenVsPt%s%s", type[i].Data(), names[j].Data()));
fHistCosPointVsPt[index] = (TH2F *)list->FindObject(Form("hCosPointVsPt%s%s", type[i].Data(), names[j].Data()));
fHistPtYMultGenDauInAcc[index] = (TH3F *)list->FindObject(Form("hPtYMult%sGenDauInAcc%s", type[i].Data(), names[j].Data()));
fHistPtYMultRecoFilt[index] = (TH3F *)list->FindObject(Form("hPtYMult%sRecoFilt%s", type[i].Data(), names[j].Data()));
fHistXvtxMean[index] = (TProfile *)fHistXvtxResVsPt[index]->ProfileX(Form("hXvtxMean%s%s", type[i].Data(), names[j].Data()));
fHistXvtxMean[index]->SetLineColor(color[j]);
fHistXvtxMean[index]->SetLineWidth(2);
fHistXvtxMean[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistXvtxMean[index]->GetYaxis()->SetTitle("Xvtx (reco-true) mean (#mum)");
fHistXvtxMean[index]->SetTitle("Xvtx residual vs pT");
fHistYvtxMean[index] = (TProfile *)fHistYvtxResVsPt[index]->ProfileX(Form("hYvtxMean%s%s", type[i].Data(), names[j].Data()));
fHistYvtxMean[index]->SetLineColor(color[j]);
fHistYvtxMean[index]->SetLineWidth(2);
fHistYvtxMean[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistYvtxMean[index]->GetYaxis()->SetTitle("Yvtx (reco-true) mean (#mum)");
fHistYvtxMean[index]->SetTitle("Yvtx residual vs pT");
fHistZvtxMean[index] = (TProfile *)fHistZvtxResVsPt[index]->ProfileX(Form("hZvtxMean%s%s", type[i].Data(), names[j].Data()));
fHistZvtxMean[index]->SetLineColor(color[j]);
fHistZvtxMean[index]->SetLineWidth(2);
fHistZvtxMean[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistZvtxMean[index]->GetYaxis()->SetTitle("Zvtx (reco-true) mean (#mum)");
fHistZvtxMean[index]->SetTitle("Zvtx residual vs pT");
fHistXvtxRes[index] = (TProfile *)fHistXvtxResVsPt[index]->ProfileX(Form("hXvtxRes%s%s", type[i].Data(), names[j].Data()), 1, -1, "s");
fHistYvtxRes[index] = (TProfile *)fHistYvtxResVsPt[index]->ProfileX(Form("hYvtxRes%s%s", type[i].Data(), names[j].Data()), 1, -1, "s");
fHistZvtxRes[index] = (TProfile *)fHistZvtxResVsPt[index]->ProfileX(Form("hZvtxRes%s%s", type[i].Data(), names[j].Data()), 1, -1, "s");
fHistXvtxRes2[index] = (TH1F *)fHistXvtxResVsPt[index]->ProjectionX(Form("hXvtxRes2%s%s", type[i].Data(), names[j].Data()));
fHistYvtxRes2[index] = (TH1F *)fHistYvtxResVsPt[index]->ProjectionX(Form("hYvtxRes2%s%s", type[i].Data(), names[j].Data()));
fHistZvtxRes2[index] = (TH1F *)fHistZvtxResVsPt[index]->ProjectionX(Form("hZvtxRes2%s%s", type[i].Data(), names[j].Data()));
fHistXvtxRes[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistXvtxRes[index]->GetYaxis()->SetTitle("Xvtx (reco-true) RMS (#mum)");
fHistXvtxRes[index]->SetTitle("Xvtx resolution vs pT");
fHistYvtxRes[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistYvtxRes[index]->GetYaxis()->SetTitle("Yvtx (reco-true) RMS (#mum)");
fHistYvtxRes[index]->SetTitle("Yvtx resolution vs pT");
fHistZvtxRes[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistZvtxRes[index]->GetYaxis()->SetTitle("Zvtx (reco-true) RMS (#mum)");
fHistZvtxRes[index]->SetTitle("Zvtx resolution vs pT");
fHistXvtxRes2[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistXvtxRes2[index]->GetYaxis()->SetTitle("Xvtx (reco-true) RMS (#mum)");
fHistXvtxRes2[index]->SetTitle("Xvtx resolution vs pT");
fHistYvtxRes2[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistYvtxRes2[index]->GetYaxis()->SetTitle("Yvtx (reco-true) RMS (#mum)");
fHistYvtxRes2[index]->SetTitle("Yvtx resolution vs pT");
fHistZvtxRes2[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistZvtxRes2[index]->GetYaxis()->SetTitle("Zvtx (reco-true) RMS (#mum)");
fHistZvtxRes2[index]->SetTitle("Zvtx resolution vs pT");
fHistXvtxRes2[index]->SetLineColor(color[j]);
fHistYvtxRes2[index]->SetLineColor(color[j]);
fHistZvtxRes2[index]->SetLineColor(color[j]);
fHistXvtxRes2[index]->SetMarkerColor(color[j]);
fHistXvtxRes2[index]->SetMarkerStyle(20);
fHistYvtxRes2[index]->SetMarkerColor(color[j]);
fHistYvtxRes2[index]->SetMarkerStyle(20);
fHistZvtxRes2[index]->SetMarkerColor(color[j]);
fHistZvtxRes2[index]->SetMarkerStyle(20);
fHistXvtxRes2[index]->SetLineWidth(2);
fHistYvtxRes2[index]->SetLineWidth(2);
fHistZvtxRes2[index]->SetLineWidth(2);
fHistXvtxRes2[index]->Sumw2();
fHistYvtxRes2[index]->Sumw2();
fHistZvtxRes2[index]->Sumw2();
fHistInvMass[index] = (TProfile *)fHistInvMassVsPt[index]->ProfileX(Form("hInvMassVsPt%s%s", type[i].Data(), names[j].Data()));
fHistInvMass[index]->SetLineColor(color[j]);
fHistInvMass[index]->SetLineWidth(2);
fHistInvMass[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistInvMass[index]->GetYaxis()->SetTitle("Inv Mass (GeV/c2)");
fHistInvMass[index]->SetTitle("Inv Mass vs pT");
fHistDecLen[index] = (TProfile *)fHistDecLenVsPt[index]->ProfileX(Form("hDecLenVsPt%s%s", type[i].Data(), names[j].Data()));
fHistDecLen[index]->SetLineColor(color[j]);
fHistDecLen[index]->SetLineWidth(2);
fHistDecLen[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistDecLen[index]->GetYaxis()->SetTitle("Dec Len (#mum)");
fHistDecLen[index]->SetTitle("Prompt Dec Len vs pT");
fHistCosp[index] = (TProfile *)fHistCosPointVsPt[index]->ProfileX(Form("hCosPVsPt%s%s", type[i].Data(), names[j].Data()));
fHistCosp[index]->SetLineColor(color[j]);
fHistCosp[index]->SetLineWidth(2);
fHistCosp[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistCosp[index]->GetYaxis()->SetTitle("Cos Point");
fHistCosp[index]->SetTitle("Prompt CosPoint vs pT");
if (index % 2 == 1)
fHistDecLen[index]->SetTitle("FeedDown Dec Len vs pT");
htemp = (TH1F *)fHistPtYMultGenDauInAcc[index]->ProjectionX(Form("hPtDen%s%s", type[i].Data(), names[j].Data()));
hEffPt[index] = (TH1F *)fHistPtYMultRecoFilt[index]->ProjectionX(Form("hPtNum%s%s", type[i].Data(), names[j].Data()));
fHistPtYMultGenDauInAcc[index]->Sumw2();
fHistPtYMultRecoFilt[index]->Sumw2();
hEffPt[index]->Sumw2();
hEffPt[index]->Divide(htemp);
hEffPt[index]->SetLineColor(color[j]);
hEffPt[index]->SetLineWidth(2);
hEffPt[index]->GetXaxis()->SetTitle("pT (GeV/c)");
hEffPt[index]->GetYaxis()->SetTitle("Prompt Efficiency");
hEffPt[index]->SetTitle("Prompt Efficiency");
hEffPt[index]->SetStats(0);
fHistCosp[index]->SetStats(0);
fHistDecLen[index]->SetStats(0);
if (index % 2 == 1)
{
hEffPt[index]->GetYaxis()->SetTitle("Feeddown Efficiency");
hEffPt[index]->SetTitle("Feeddown Efficiency");
}
fHistInvMassRes[index] = new TH1F(*hEffPt[index]);
for (Int_t jj = 1; jj < hEffPt[index]->GetNbinsX() + 1; jj++)
{
TH1F *hTemp = (TH1F *)fHistInvMassVsPt[index]->ProjectionY("htemp", jj, jj);
fHistInvMassRes[index]->SetBinContent(jj, hTemp->GetRMS());
fHistInvMassRes[index]->SetBinError(jj, hTemp->GetRMSError());
fHistInvMassRes[index]->SetLineColor(color[j]);
fHistInvMassRes[index]->SetLineWidth(2);
fHistInvMassRes[index]->GetXaxis()->SetTitle("pT (GeV/c)");
fHistInvMassRes[index]->GetYaxis()->SetTitle("Inv Mass RMS (GeV/c2)");
fHistInvMassRes[index]->SetTitle("Inv Mass RMS vs pT");
if (index == 0)
printf("D0: pt=%f, res=%f \n", fHistInvMassRes[index]->GetBinCenter(jj), fHistInvMassRes[index]->GetBinContent(jj));
TH1F *hTempX = (TH1F *)fHistXvtxResVsPt[index]->ProjectionY("htempX", jj, jj);
TH1F *hTempY = (TH1F *)fHistYvtxResVsPt[index]->ProjectionY("htempY", jj, jj);
TH1F *hTempZ = (TH1F *)fHistZvtxResVsPt[index]->ProjectionY("htempZ", jj, jj);
fHistXvtxRes2[index]->SetBinContent(jj, hTempX->GetRMS());
fHistXvtxRes2[index]->SetBinError(jj, hTempX->GetRMSError());
fHistYvtxRes2[index]->SetBinContent(jj, hTempY->GetRMS());
fHistYvtxRes2[index]->SetBinError(jj, hTempY->GetRMSError());
fHistZvtxRes2[index]->SetBinContent(jj, hTempZ->GetRMS());
fHistZvtxRes2[index]->SetBinError(jj, hTempZ->GetRMSError());
}
}
}
fHistNCandDplus->SetLineColor(2);
fHistNCandDstar->SetLineColor(3);
fHistNCandDs->SetLineColor(4);
fHistNCandLc->SetLineColor(kOrange);
fHistNCandDplus->SetLineWidth(2);
fHistNCandDstar->SetLineWidth(2);
fHistNCandDs->SetLineWidth(2);
fHistNCandLc->SetLineWidth(2);
fHistNCandDzero->GetXaxis()->SetTitle("pT (GeV/c)");
fHistNCandDzero->GetYaxis()->SetTitle("counts");
TLegend *leg = new TLegend(0.6, 0.7, 0.8, 0.9);
leg->AddEntry(fHistNCandDzero, "Dzero", "l");
leg->AddEntry(fHistNCandDplus, "Dplus", "l");
leg->AddEntry(fHistNCandDstar, "Dstar", "l");
leg->AddEntry(fHistNCandDs, "Ds", "l");
leg->AddEntry(fHistNCandLc, "Lc", "l");
TLegend *leg1 = new TLegend(0.5, 0.7, 0.7, 0.9);
leg1->AddEntry(fHistYvtxRes2[0], "Dzero", "pl");
leg1->AddEntry(fHistYvtxRes2[2], "Dplus", "pl");
if (drawOnlyDzerDplus == 0)
leg1->AddEntry(fHistYvtxRes2[6], "Ds", "pl");
if (drawOnlyDzerDplus == 0)
leg1->AddEntry(fHistYvtxRes2[8], "Lc", "pl");
TLegend *leg2 = new TLegend(0.5, 0.7, 0.7, 0.9);
leg2->AddEntry(fHistYvtxMean[0], "Dzero", "l");
leg2->AddEntry(fHistYvtxMean[2], "Dplus", "l");
if (drawOnlyDzerDplus == 0)
leg2->AddEntry(fHistYvtxMean[6], "Ds", "l");
if (drawOnlyDzerDplus == 0)
leg2->AddEntry(fHistYvtxMean[8], "Lc", "l");
TLegend *leg3 = new TLegend(0.2, 0.7, 0.4, 0.9);
leg3->AddEntry(fHistNCandDzero, "Dzero", "l");
leg3->AddEntry(fHistNCandDplus, "Dplus", "l");
if (drawOnlyDzerDplus == 0)
leg3->AddEntry(fHistNCandDstar, "Dstar", "l");
if (drawOnlyDzerDplus == 0)
leg3->AddEntry(fHistNCandDs, "Ds", "l");
if (drawOnlyDzerDplus == 0)
leg3->AddEntry(fHistNCandLc, "Lc", "l");
TLegend *leg4 = new TLegend(0.7, 0.7, 0.9, 0.9);
leg4->AddEntry(fHistNCandDzero, "Dzero", "l");
leg4->AddEntry(fHistNCandDplus, "Dplus", "l");
if (drawOnlyDzerDplus == 0)
leg4->AddEntry(fHistNCandDstar, "Dstar", "l");
if (drawOnlyDzerDplus == 0)
leg4->AddEntry(fHistNCandDs, "Ds", "l");
if (drawOnlyDzerDplus == 0)
leg4->AddEntry(fHistNCandLc, "Lc", "l");
TCanvas *c0_1 = new TCanvas("c0_1", "c0_1", 500, 500);
hnGenD->SetTitle("number of generated D mesons");
hnGenD->Draw();
c0_1->SaveAs("plotDgen.png");
TCanvas *c0_2 = new TCanvas("c0_2", "c0_2", 500, 500);
c0_2->SetLogy();
fHistNCandDs->SetTitle("Candidates passing filtering cuts");
fHistNCandDs->Draw("");
c0_2->Update();
TPaveStats *stats = (TPaveStats *)c0_2->GetPrimitive("stats");
stats->SetName("h1stats");
stats->SetY1NDC(0.5);
stats->SetY2NDC(0.35);
c0_2->Update();
fHistNCandDplus->Draw("sames");
c0_2->Update();
TPaveStats *stats2 = (TPaveStats *)c0_2->GetPrimitive("stats");
stats2->SetName("h2stats");
stats2->SetY1NDC(0.8);
stats2->SetY2NDC(.65);
c0_2->Update();
fHistNCandDstar->Draw("sames");
c0_2->Update();
TPaveStats *stats3 = (TPaveStats *)c0_2->GetPrimitive("stats");
stats3->SetName("h3stats");
stats3->SetY1NDC(0.65);
stats3->SetY2NDC(.5);
c0_2->Update();
fHistNCandDzero->Draw("sames");
c0_2->Update();
TPaveStats *stats4 = (TPaveStats *)c0_2->GetPrimitive("stats");
stats4->SetName("h4stats");
stats4->SetY1NDC(0.95);
stats4->SetY2NDC(.8);
c0_2->Update();
fHistNCandLc->Draw("sames");
c0_2->Update();
TPaveStats *stats5 = (TPaveStats *)c0_2->GetPrimitive("stats");
stats5->SetName("h1stats");
stats5->SetY1NDC(0.35);
stats5->SetY2NDC(.2);
c0_2->Update();
leg->Draw();
c0_2->SaveAs("plotDcandpt.png");
TCanvas *c0_3 = new TCanvas("c0_3", "c0_3", 500, 500);
fHistInvMass[0]->SetMinimum(1.6);
fHistInvMass[0]->SetMaximum(2.4);
fHistInvMass[0]->Draw();
fHistInvMass[2]->Draw("sames");
fHistInvMass[4]->Draw("sames");
fHistInvMass[6]->Draw("sames");
fHistInvMass[8]->Draw("sames");
leg->Draw();
c0_3->SaveAs("plotDcandInvMass.png");
TCanvas *c0_4 = new TCanvas("c0_4", "c0_4", 500, 500);
//fHistInvMassRes[0]->SetMinimum(1.6);
//fHistInvMassRes[0]->SetMaximum(2.4);
fHistInvMassRes[0]->GetYaxis()->SetTitleOffset(1.4);
fHistInvMassRes[0]->SetTitle("D0 Inv Mass RMS vs pT");
fHistInvMassRes[0]->Draw("");
// fHistInvMassRes[2]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistInvMassRes[4]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistInvMassRes[6]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistInvMassRes[8]->Draw("sames");
//leg->Draw();
c0_4->SaveAs("plotD0candInvMassWidth.png");
fHistXvtxMean[0]->SetStats(0);
fHistYvtxMean[0]->SetStats(0);
fHistZvtxMean[0]->SetStats(0);
fHistXvtxMean[2]->SetStats(0);
fHistYvtxMean[2]->SetStats(0);
fHistZvtxMean[2]->SetStats(0);
fHistXvtxRes2[0]->SetStats(0);
fHistYvtxRes2[0]->SetStats(0);
fHistZvtxRes2[0]->SetStats(0);
fHistXvtxRes2[2]->SetStats(0);
fHistYvtxRes2[2]->SetStats(0);
fHistZvtxRes2[2]->SetStats(0);
TCanvas *cc = new TCanvas("cc", "cc", 1200, 500);
cc->Divide(3, 1);
cc->cd(1);
fHistXvtxMean[0]->GetYaxis()->SetTitleOffset(1.4);
fHistXvtxMean[0]->SetMinimum(-300.);
fHistXvtxMean[0]->SetMaximum(300.);
fHistXvtxMean[0]->Draw();
fHistXvtxMean[2]->Draw("sames");
leg2->Draw();
cc->cd(2);
fHistYvtxMean[0]->GetYaxis()->SetTitleOffset(1.4);
fHistYvtxMean[0]->SetMinimum(-300.);
fHistYvtxMean[0]->SetMaximum(300.);
fHistYvtxMean[0]->Draw();
fHistYvtxMean[2]->Draw("sames");
leg2->Draw();
cc->cd(3);
fHistZvtxMean[0]->GetYaxis()->SetTitleOffset(1.4);
fHistZvtxMean[0]->SetMinimum(-300.);
fHistZvtxMean[0]->SetMaximum(300.);
fHistZvtxMean[0]->Draw();
fHistZvtxMean[2]->Draw("sames");
leg2->Draw();
cc->SaveAs("plotXYZVtxMean.png");
/////////
TCanvas *ccr = new TCanvas("ccr", "ccr", 1200, 500);
ccr->Divide(3, 1);
ccr->cd(1);
fHistXvtxRes2[0]->GetYaxis()->SetTitleOffset(1.4);
fHistXvtxRes2[0]->SetMinimum(0.);
fHistXvtxRes2[0]->SetMaximum(500.);
fHistXvtxRes2[0]->Draw();
fHistXvtxRes2[2]->Draw("sames");
leg2->Draw();
ccr->cd(2);
fHistYvtxRes2[0]->GetYaxis()->SetTitleOffset(1.4);
fHistYvtxRes2[0]->SetMinimum(0.);
fHistYvtxRes2[0]->SetMaximum(500.);
fHistYvtxRes2[0]->Draw();
fHistYvtxRes2[2]->Draw("sames");
leg2->Draw();
ccr->cd(3);
fHistZvtxRes2[0]->GetYaxis()->SetTitleOffset(1.4);
fHistZvtxRes2[0]->SetMinimum(0.);
fHistZvtxRes2[0]->SetMaximum(500.);
fHistZvtxRes2[0]->Draw();
fHistZvtxRes2[2]->Draw("sames");
leg2->Draw();
ccr->SaveAs("plotXYZVtxRMS.png");
TCanvas *ccc = new TCanvas("ccc", "ccc", 1200, 800);
ccc->Divide(3, 2);
ccc->cd(1);
fHistDecLen[0]->GetYaxis()->SetTitleOffset(1.45);
fHistDecLen[0]->Draw();
fHistDecLen[2]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[4]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[6]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[8]->Draw("sames");
leg3->Draw();
ccc->cd(2);
fHistCosp[0]->GetYaxis()->SetTitleOffset(1.45);
fHistCosp[0]->Draw();
fHistCosp[2]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[4]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[6]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[8]->Draw("sames");
leg4->Draw();
ccc->cd(3);
hEffPt[0]->GetYaxis()->SetTitleOffset(1.45);
hEffPt[0]->Draw();
hEffPt[2]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[4]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[6]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[8]->Draw("sames");
leg3->Draw();
ccc->cd(4);
fHistDecLen[1]->GetYaxis()->SetTitleOffset(1.45);
fHistDecLen[1]->Draw();
fHistDecLen[3]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[5]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[7]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistDecLen[9]->Draw("sames");
leg3->Draw();
ccc->cd(5);
fHistCosp[1]->GetYaxis()->SetTitleOffset(1.45);
fHistCosp[1]->Draw();
fHistCosp[3]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[5]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[7]->Draw("sames");
if (drawOnlyDzerDplus == 0)
fHistCosp[9]->Draw("sames");
leg4->Draw();
ccc->cd(6);
hEffPt[1]->GetYaxis()->SetTitleOffset(1.45);
hEffPt[1]->Draw();
hEffPt[3]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[5]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[7]->Draw("sames");
if (drawOnlyDzerDplus == 0)
hEffPt[9]->Draw("sames");
leg3->Draw();
ccc->SaveAs("plot_DL_cosp_Eff_prompt_fd.png");
}
}
trtree->Fill();
if(runNumber>0){
TFile* foutfile=new TFile("trendingHF.root","recreate");
trtree->Write();
TDirectory* outdir=foutfile->mkdir(dirD2H->GetName());
outdir->cd();
listD2H->Write(listD2H->GetName(),1);
foutfile->cd();
if(dir && list){
TDirectory* outdir2=foutfile->mkdir(dir->GetName());
outdir2->cd();
list->Write(list->GetName(),1);
}
foutfile->Close();
delete foutfile;
}
}
void makeMuonTimingPlot (std::string fname)
{
TFile file(fname.c_str());
TDirectoryFile *dir = (TDirectoryFile*)file.Get("Muons");
TList *hlist = dir->GetListOfKeys();
TH1F *h1;
bool foundHist = false;
for (auto hist : *hlist)
{
TString name = hist->GetName();
if (!name.Contains("hMuTimeP")) continue;
TH1F *h0 = (TH1F*)dir->Get(name.Data());
if (!foundHist)
{
h1 = (TH1F*)h0->Clone();
h1->Sumw2();
foundHist = true;
}
else
{
h1->Add(h0);
}
}
TH1F *h2 = new TH1F("h2", "h2", 200, -100, 100);
h2->GetXaxis()->SetTitle("muon time (ns)");
h2->GetYaxis()->SetTitle("Fraction of Muons/ns");
h2->GetYaxis()->SetTitleOffset(1.1);
h2->GetXaxis()->SetTitleOffset(0.8);
h2->SetTitle("CSC Muon Time");
h2->SetTitleFont(42);
h2->SetTitleSize(0.052);
h2->Sumw2();
h2->SetLineColor(kCyan+3);
h2->SetFillColor(kCyan+3);
for (int ibin = 1; ibin <= 200; ibin++)
{
h2->SetBinContent(ibin, h1->GetBinContent(ibin));
h2->SetBinError(ibin, h1->GetBinError(ibin));
if (ibin == 200)
h2->SetEntries(h1->GetEntries());
}
TCanvas c1("c1", "c1", 600, 400);
gStyle->SetOptStat("");
double rms = h2->GetRMS();
double avg = h2->GetMean();
TLatex cms(0.17, 0.83, "CMS");
cms.SetNDC();
cms.SetTextFont(61);
cms.SetTextSize(0.06);
TLatex prelim(0.17, 0.81, "Preliminary");
prelim.SetNDC();
prelim.SetTextAlign(13);
prelim.SetTextFont(52);
prelim.SetTextSize(0.0456);
TLatex data(0.17, 0.76, "Data 2016");
data.SetNDC();
data.SetTextAlign(13);
data.SetTextFont(52);
data.SetTextSize(0.0456);
TLatex lumi(0.9, 0.93, "4.0 fb^{-1} (13 TeV)");
lumi.SetNDC();
lumi.SetTextAlign(31);
lumi.SetTextFont(42);
lumi.SetTextSize(0.052);
TLatex mean(0.7, 0.81, Form("Mean %2.1f", avg));
mean.SetNDC();
mean.SetTextAlign(11);
mean.SetTextFont(61);
mean.SetTextSize(0.06);
TLatex stdev(0.7, 0.76, Form("RMS %2.1f", rms));
stdev.SetNDC();
stdev.SetTextAlign(11);
stdev.SetTextFont(61);
stdev.SetTextSize(0.06);
h2->GetXaxis()->SetRangeUser(-6*rms,6*rms);
TH1F* h2norm = (TH1F*)h2->DrawNormalized("hist");
gPad->Update();
cms.Draw();
prelim.Draw();
data.Draw();
lumi.Draw();
mean.Draw();
stdev.Draw();
TPaveText *title = (TPaveText*)gPad->GetPrimitive("title");
title->SetBorderSize(0);
title->SetFillColor(0);
title->SetFillStyle(0);
title->SetX1NDC(0.13);
title->SetY1NDC(0.88);
title->SetX2NDC(0.9);
title->SetY2NDC(0.98);
title->SetTextFont(42);
title->SetTextSize(0.052);
title->SetTextAlign(11);
c1.Print("plots/muon_time_all.pdf");
c1.Print("plots/muon_time_all.png");
c1.Print("plots/muon_time_all.root");
}
//Noise section
Stat_t AnalysisClass::doNoiseFit(Int_t RunNumber, Char_t *Variable, Char_t *SubDetName, Char_t *Layer, Char_t *label){
TH1 *hNtoFit=0;
if (debug) cout << d1->GetTitle() << " " << Variable << " " << SubDetName << endl;
pPar[0]=0; pPar[1]=0;
TIter it(d1->GetListOfKeys());
TObject * o;
while ( (o = it()))
{
TObject * d = d1->Get(o->GetName());
if(d->IsA()->InheritsFrom("TDirectory") && strstr(d->GetName(),SubDetName)){
if (debug) cout << "Found " << SubDetName << endl;
TIter it2(((TDirectoryFile * )d)->GetListOfKeys());
TObject *o2;
while( ( o2 = it2()) ){
TObject *d2 = ((TDirectoryFile * )d)->Get(o2->GetName());
if(d2->IsA()->InheritsFrom("TDirectory") && strstr(d2->GetName(),Layer) ){
if (debug) cout << "Found Layer" << Layer << endl;
TIter it3(((TDirectoryFile * )d2)->GetListOfKeys());
TObject *o3;
while( ( o3 = it3()) ){
TObject *d3 = ((TDirectoryFile * )d2)->Get(o3->GetName());
if(strstr(d3->GetName(),Variable) && strstr(d3->GetName(),label)){
hNtoFit = (TH1*) d3;
if (debug) cout << "Found " << Variable << endl;
if (hNtoFit->GetEntries()!=0) {
cout<<"Fitting "<< hNtoFit->GetTitle() <<endl;
// Setting fit range and start values
Double_t fr[2];
Double_t sv[3], pllo[3], plhi[3];
fr[0]=hNtoFit->GetMean()-5*hNtoFit->GetRMS();
fr[1]=hNtoFit->GetMean()+5*hNtoFit->GetRMS();
Int_t imax=hNtoFit->GetMaximumBin();
Double_t xmax=hNtoFit->GetBinCenter(imax);
Double_t ymax=hNtoFit->GetBinContent(imax);
Int_t i[2];
Int_t iArea[2];
i[0]=hNtoFit->GetXaxis()->FindBin(fr[0]);
i[1]=hNtoFit->GetXaxis()->FindBin(fr[1]);
iArea[0]=hNtoFit->GetXaxis()->FindBin(fr[0]);
iArea[1]=hNtoFit->GetXaxis()->FindBin(fr[1]);
Double_t AreaFWHM=hNtoFit->Integral(iArea[0],iArea[1],"width");
sv[2]=AreaFWHM/(4*ymax);
sv[1]=xmax;
sv[0]=hNtoFit->Integral(i[0],i[1],"width");
plhi[0]=1000000.0; plhi[1]=10.0; plhi[2]=10.;
pllo[0]=1.5 ; pllo[1]=0.1; pllo[2]=0.3;
Char_t FunName[100];
sprintf(FunName,"FitfcnLG_%s%d",hNtoFit->GetName(),fRun);
TF1 *ffitold = (TF1*)gROOT->GetListOfFunctions()->FindObject(FunName);
if (ffitold) delete ffitold;
gausFit = new TF1(FunName,Gauss,fr[0],fr[1],3);
gausFit->SetParameters(sv);
gausFit->SetParNames("Constant","GaussPeak","Sigma");
for (Int_t i=0; i<3; i++) {
gausFit->SetParLimits(i,pllo[i],plhi[i]);
}
hNtoFit->Fit(gausFit,"R0");
gausFit->SetRange(fr[0],fr[1]);
pGausS=gausFit->GetParameters();
epGausS=gausFit->GetParErrors();
chi2GausS =langausFit->GetChisquare(); // obtain chi^2
nDofGausS = langausFit->GetNDF();// obtain ndf
TCanvas *cAllN = new TCanvas("NoiseFit",hNtoFit->GetTitle(),1);
Char_t fitFileName[60];
sprintf(fitFileName,"Fits/Run_%d/%s/Fit_%s.png",RunNumber,SubDetName,hNtoFit->GetTitle());
hNtoFit->Draw("pe");
gStyle->SetOptFit(1111111);
gausFit->Draw("lsame");
cAllN->Print(fitFileName,"png");
}else {
pGausS[0]=-10; pGausS[1]=-10; pGausS[2]=-10;
epGausS[0]=-10; epGausS[1]=-10; epGausS[2]=-10;
}
}
}
}
}
}
}
return hNtoFit->GetEntries();
}
void drawDCAcontamination(){
gStyle->SetOptStat(0);
TFile * file = TFile::Open("/Users/sandrobjelogrlic/Analysis/HFCorrelations/Results/MCCE/83_12022015/10f7a/AnalysisResults.root");
TDirectoryFile * dir = (TDirectoryFile*)file->Get("PWGHF_HFCJ_SE_EffY_DEffY_vsPt_32_bins_SE_RECO_reco_2_348_sigmas");
TList * list = (TList*)dir->Get("OutputMCSE_RECO");
TH1D * isPhysPrimDCA = (TH1D*)list->FindObject("isPhysPrimDCA");
TH1D * isSecondaryDCA = (TH1D*)list->FindObject("isSecondaryDCA");
isPhysPrimDCA->GetXaxis()->SetRangeUser(0,2);
isPhysPrimDCA->SetLineColor(2);
isSecondaryDCA->SetLineColor(4);
isPhysPrimDCA->SetTitle("; DCA_{XY} (cm); Counts");
isPhysPrimDCA->GetYaxis()->SetTitleOffset(1.2);
TPaveText * PaveText = new TPaveText(0.5,0.55,0.8,0.7,"NDC");
PaveText->SetBorderSize(0);
PaveText->SetFillColor(0);
PaveText->SetName("pave");
// PaveText->AddText("THIS THESIS");
// PaveText->AddText(" ");
PaveText->AddText("Phytia, pp #sqrt{s} = 7 TeV");
//PaveText->AddText(" ");
// PaveText->AddText("Fraction of Primary tracks as funct");
TLine * cut = new TLine(0.25,0,0.25,10000000);
cut->SetLineStyle(2);
TLegend * legend = new TLegend(0.4,0.7,0.8,0.85);
// TLegend * legend = new TLegend(0.1, 1.2*DStarPeak->GetBinContent(DStarPeak->GetMaximumBin()),0.4, 1.6*DStarPeak->GetBinContent(DStarPeak->GetMaximumBin()));
legend->SetFillColor(0);
legend->SetTextSize(0.03);
legend->SetBorderSize(0);
legend->AddEntry(isPhysPrimDCA,"Primary tracks","l");
legend->AddEntry(isSecondaryDCA,"Secondary tracks","l");
legend->AddEntry(cut,"Standard cut, DCA_{XY} < 0.25 cm","l");
//legend->AddEntry(h_Perugia2011,"Pythia, Perugia 2011 tune","lep");
TCanvas * c1 = new TCanvas("c1","c1",0,0,1000,1000);
c1->cd();
c1->SetLogy();
isPhysPrimDCA->Draw();
isSecondaryDCA->Draw("same");
legend->Draw("same");
PaveText->Draw("same");
cut->Draw("same");
// cout << "Integral is " << getIntegral(DCA,isPhysPrimDCA) << endl;
TLegend * legend2 = new TLegend(0.4,0.7,0.8,0.85);
// TLegend * legend = new TLegend(0.1, 1.2*DStarPeak->GetBinContent(DStarPeak->GetMaximumBin()),0.4, 1.6*DStarPeak->GetBinContent(DStarPeak->GetMaximumBin()));
legend2->SetFillColor(0);
legend2->SetTextSize(0.03);
legend2->SetBorderSize(0);
legend2->AddEntry(cut,"Standard cut, DCA_{XY} < 0.25 cm","l");
TPaveText * PaveText2 = new TPaveText(0.5,0.3,0.8,0.5,"NDC");
PaveText2->SetBorderSize(0);
PaveText2->SetFillColor(0);
PaveText2->SetName("pave2");
// PaveText->AddText("THIS THESIS");
// PaveText->AddText(" ");
PaveText2->AddText("PYTHIA, pp #sqrt{s} = 7 TeV");
TH1D * contamination = (TH1D*)isPhysPrimDCA->Clone("contamination");
contamination->Reset();
contamination->SetTitle("; DCA_{XY} (cm); Purity");
contamination->GetYaxis()->SetRangeUser(0.8,1.05);
contamination->GetXaxis()->SetRangeUser(0,1);
contamination->SetLineColor(1);
contamination->SetLineWidth(2);
contamination->GetYaxis()->SetTitleOffset(1.4);
Double_t dcavalue = 0;
for(Int_t k=0; k<2000; k++){
dcavalue += 0.001;
contamination->SetBinContent(k+1,getPurity(dcavalue,isPhysPrimDCA,isSecondaryDCA));
}
TLine * cut2 = new TLine(0.25,0.8,0.25,1.05);
cut2->SetLineStyle(2);
TCanvas * c2 = new TCanvas("c2","c2",0,0,1000,1000); c2->cd();
contamination->Draw();
PaveText2->Draw("same");
cut2->Draw("same");
legend2->Draw("same");
c1->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/DCADistrib.pdf");
c1->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/DCADistrib.eps");
c1->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/DCADistrib.png");
c1->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/DCADistrib.root");
c2->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/purity.pdf");
c2->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/purity.png");
c2->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/purity.eps");
c2->SaveAs("/Users/sandrobjelogrlic/PhD_Thesis/Figures/Chapter_3/purity.root");
}
void DrawEfficiency(const char* channel, Int_t selection = 0, Int_t ieff = 7){
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
gStyle->SetPalette(1);
gStyle->SetCanvasColor(0);
gStyle->SetFrameFillColor(0);
gStyle->SetOptTitle(0);
gSystem->SetIncludePath("-I. -I$ALICE_ROOT/include -I$ROOTSYS/include");
gSystem->Load("libANALYSIS");
gSystem->Load("libANALYSISalice");
gSystem->Load("$ALICE_ROOT/CORRFW/libCORRFW") ;
gSystem->Load("libPWGHFbase");
gSystem->Load("libPWGHFvertexingHF");
Int_t mcAcc_over_mcLimAcc = 0x001;
Int_t recPPR_over_mcAcc = 0x002;
Int_t recPID_over_mcAcc = 0x004;
// pt index
Int_t ipt =0;
Int_t stepNum = -1;
Int_t stepDen = -1;
// Read the container from file
TFile* f = new TFile("AnalysisResults.root");
TString directoryName;
TString containerName;
TString cutName;
TString outfileName;
if (channel == "D0") {
if (selection == 0){
directoryName = "PWG3_D2H_CFtaskD0toKpi";
containerName = "CFHFccontainer0";
cutName = "Cuts";
outfileName = "fileEff_D0_from_c.root";
}
else if (selection == 1){
directoryName = "PWG3_D2H_CFtaskD0toKpiKeepD0fromBOnly";
containerName = "CFHFccontainer0D0fromB";
cutName = "Cuts";
outfileName = "fileEff_D0_from_b.root";
}
else if (selection == 2){
directoryName = "PWG3_D2H_CFtaskD0toKpiKeepD0fromB";
containerName = "CFHFccontainer0allD0";
cutName = "Cuts";
outfileName = "fileEff_D0_from_c_and_b.root";
}
else {
Printf("not a valid selection, return");
return;
}
}
else if (channel == "D0_New"){
if (selection == 0){
directoryName = "PWG3_D2H_CFtaskD0toKpi_NEW";
containerName = "CFHFccontainer0_New";
cutName = "Cuts_New";
//directoryName = "PWG3_D2H_CFtaskD0toKpi_CommonFramework";
//containerName = "CFHFccontainer0_CommonFramework";
//cutName = "Cuts_CommonFramework";
outfileName = "fileEff_D0_CommonFramework_from_c.root";
}
else if (selection == 1){
directoryName = "PWG3_D2H_CFtaskD0toKpiKeepDfromBOnly";
containerName = "CFHFccontainer0DfromB_New";
cutName = "Cuts_New";
//directoryName = "PWG3_D2H_CFtaskD0toKpiKeepDfromBOnly_CommonFramework";
//containerName = "CFHFccontainer0DfromB_CommonFramework";
//cutName = "Cuts_CommonFramework";
outfileName = "fileEff_D0_CommonFramework_from_b.root";
}
else if (selection == 2){
directoryName = "PWG3_D2H_CFtaskD0toKpiKeepDfromB_NEW";
containerName = "CFHFccontainer0allD_New";
cutName = "Cuts_New";
//directoryName = "PWG3_D2H_CFtaskD0toKpiKeepDfromB_CommonFramework";
//containerName = "CFHFccontainer0allD_CommonFramework";
//cutName = "Cuts_CommonFramework";
outfileName = "fileEff_D0_CommonFramework_from_c_and_b.root";
}
else {
Printf("not a valid selection, return");
return;
}
}
else if (channel == "Dplus_New"){
if (selection == 0){
directoryName = "PWG3_D2H_CFtaskDplustoKpipi_NEW";
containerName = "CFHFccontainer0_New_3Prong";
cutName = "Cuts_3Prong";
//directoryName = "PWG3_D2H_CFtaskDplustoKpipi_CommonFramework";
//containerName = "CFHFccontainer0_3Prong_CommonFramework";
//cutName = "Cuts_3Prong_CommonFramework";
outfileName = "fileEff_Dplus_CommonFramework_from_c.root";
}
else if (selection == 1){
directoryName = "PWG3_D2H_CFtaskDplustoKpipiKeepDfromBOnly";
containerName = "CFHFccontainer0DfromB_New_3Prong";
cutName = "Cuts_3Prong";
//directoryName = "PWG3_D2H_CFtaskDplustoKpipiKeepDfromBOnly_CommonFramework";
//containerName = "CFHFccontainer0DfromB_3Prong_CommonFramework";
//cutName = "Cuts_3Prong_CommonFramework";
outfileName = "fileEff_Dplus_CommonFramework_from_b.root";
}
else if (selection == 2){
directoryName = "PWG3_D2H_CFtaskDplustoKpipiKeepDfromB_NEW";
containerName = "CFHFccontainer0allD_New_3Prong";
cutName = "Cuts_3Prong";
//directoryName = "PWG3_D2H_CFtaskDplustoKpipiKeepDfromB_CommonFramework";
//containerName = "CFHFccontainer0allD_3Prong_CommonFramework";
//cutName = "Cuts_3Prong_CommonFramework";
outfileName = "fileEff_Dplus_CommonFramework_from_c_and_b.root";
}
else {
Printf("not a valid selection, return");
return;
}
}
else {
Printf("not a valid channel, return");
return;
}
Printf("Opening file Analysisresults.root");
Printf("Reading Directory \"%s\"",directoryName.Data());
Printf("Getting CF Container \"%s\"",containerName.Data());
Printf("Getting Cut Object \"%s\"",cutName.Data());
TDirectoryFile* d = (TDirectoryFile*)f->Get(directoryName.Data());
if (!d){
Printf("Directory does not exist! Check directory name (%s) in file AnalysisResults.root - returning...", directoryName.Data());
return;
}
AliCFContainer *data = (AliCFContainer*) (d->Get(containerName.Data()));
AliRDHFCuts *cutsRDHF = (AliRDHFCuts*)(d->Get(cutName.Data()));
if (!data){
Printf("Container does not exist! Check container name (%s) in directory %s - returning...", containerName.Data(), directoryName.Data());
return;
}
TFile* fileEff = new TFile(outfileName.Data(), "RECREATE");
TString plotDir(Form("EffPlots/%s",channel));
gSystem->Exec(Form("mkdir EffPlots"));
gSystem->Exec(Form("mkdir %s",plotDir.Data()));
//construct the efficiency grid from the data container
AliCFEffGrid *eff = new AliCFEffGrid("eff"," The efficiency",*data);
TCanvas *ceffpt = new TCanvas("ceffpt","Efficiency vs pt",50,50,550,550);
ceffpt->cd();
ceffpt->SetLeftMargin(0.15);
ceffpt->SetRightMargin(0.05);
TH1D *hpteffCF = 0x0; //the efficiency vs pt
if (ieff & mcAcc_over_mcLimAcc){
AliCFEffGrid *eff = new AliCFEffGrid("eff"," The efficiency",*data);
stepDen = (Int_t)(AliCFTaskVertexingHF::kStepGeneratedLimAcc);
stepNum = (Int_t)(AliCFTaskVertexingHF::kStepAcceptance);
printf("Calculating efficiency for mcAcc_over_mcLimAcc: stepDen = %d, stepNum = %d\n",stepDen,stepNum);
eff->CalculateEfficiency(stepNum,stepDen); //eff= step1/step0
//canvas
ceffpt->cd();
//The efficiency along the variables
hpteffCF = eff->Project(ipt);
SetHistoEff(hpteffCF,8,20,"mcAcc_over_mcLimAcc");
hpteffCF->Draw("hist");
hpteffCF->Draw("err same");
fileEff->cd();
hpteffCF->Write("hpteffCF_mcAcc_over_mcLimAcc");
// printing png files
ceffpt->Print(Form("%s/effpt_mcAcc_over_mcLimAcc.png", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_mcAcc_over_mcLimAcc.eps", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_mcAcc_over_mcLimAcc.gif", plotDir.Data()));
delete eff;
eff = 0x0;
}
if (ieff & recPPR_over_mcAcc){
AliCFEffGrid *eff = new AliCFEffGrid("eff"," The efficiency",*data);
stepDen = (Int_t)(AliCFTaskVertexingHF::kStepAcceptance);
stepNum = (Int_t)(AliCFTaskVertexingHF::kStepRecoPPR);
printf("Calculating efficiency for RecPPR_over_mcAcc: stepDen = %d, stepNum = %d\n",stepDen,stepNum);
eff->CalculateEfficiency(stepNum,stepDen); //eff= step1/step0
//canvas
ceffpt->cd();
//The efficiency along the variables
hpteffCF = eff->Project(ipt);
SetHistoEff(hpteffCF,8,20, "recAnCuts_over_mcAcc");
hpteffCF->Draw("hist");
hpteffCF->Draw("err same");
fileEff->cd();
hpteffCF->Write("hpteffCF_RecAnCut_over_mcAcc");
// printing png files
ceffpt->Print(Form("%s/effpt_RecAnCut_over_mcAcc.png", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_RecAnCut_over_mcAcc.eps", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_RecAnCut_over_mcAcc.gif", plotDir.Data()));
delete eff;
eff = 0x0;
}
if (ieff & recPID_over_mcAcc){
AliCFEffGrid *eff = new AliCFEffGrid("eff"," The efficiency",*data);
stepDen = (Int_t)(AliCFTaskVertexingHF::kStepAcceptance);
stepNum = (Int_t)(AliCFTaskVertexingHF::kStepRecoPID);
printf("Calculating efficiency for RecPID_over_mcAcc: stepDen = %d, stepNum = %d\n",stepDen,stepNum);
eff->CalculateEfficiency(stepNum,stepDen); //eff= step1/step0
//canvas
ceffpt->cd();
//The efficiency along the variables
hpteffCF = eff->Project(ipt);
SetHistoEff(hpteffCF,8,20,"recPID_over_mcAcc");
hpteffCF->Draw("hist");
hpteffCF->Draw("err same");
fileEff->cd();
hpteffCF->Write("hpteffCF_RecPID_over_mcAcc");
// printing png files
ceffpt->Print(Form("%s/effpt_RecPID_over_mcAcc.png", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_RecPID_over_mcAcc.eps", plotDir.Data()));
ceffpt->Print(Form("%s/effpt_RecPID_over_mcAcc.gif", plotDir.Data()));
delete eff;
eff = 0x0;
}
cutsRDHF->Write("Cuts");
// writing single distributions
TH1D *hMCAccpt = data->ShowProjection(ipt, AliCFTaskVertexingHF::kStepAcceptance);
SetHistoDistribution(hMCAccpt, 1, 20);
hMCAccpt->Draw();
TH1D *hMCLimAccpt = data->ShowProjection(ipt, AliCFHeavyFlavourTaskMultiVarMultiStep::kStepGeneratedLimAcc);
SetHistoDistribution(hMCLimAccpt, 4, 20);
TH1D *hRecoAnCutspt = data->ShowProjection(ipt, AliCFTaskVertexingHF::kStepRecoPPR);
SetHistoDistribution(hRecoAnCutspt, 8, 20);
TH1D *hRecoPIDpt = data->ShowProjection(ipt, AliCFTaskVertexingHF::kStepRecoPID);
SetHistoDistribution(hRecoPIDpt, 6, 20);
hMCAccpt->Write("hMCAccpt");
hMCLimAccpt->Write("hMCLimAccpt");
hRecoAnCutspt->Write("hRecoAnCutspt");
hRecoPIDpt->Write("hRecoPIDpt");
// fileEff->Close(); // commented out to see the canvas on the screen....
}
void drawCorrection(const char* filenameEffCont = "mergedAnalysisResults_proofPbPb_128.root"){
gStyle->SetOptTitle(1);
gStyle->SetOptStat(0);
//gSystem->Load("libANALYSIS");
//gSystem->Load("libANALYSISalice");
Int_t markerStyle = 20;
Int_t markerColor = 1;
Int_t fillColor = 9;
//_______________________________________________________________//
//Open the input file
TFile *f = TFile::Open(filenameEffCont);
if(!f->IsOpen()) {
Printf("File not found!!!");
break;
}
//_______________________________________________________________//
//Get the TDirectoryFile
TDirectoryFile *dirEffCont = dynamic_cast<TDirectoryFile *>(f->Get("PWGCFEbyE.outputBalanceFunctionEffContAnalysis"));
if(!dirEffCont) {
Printf("TDirectoryFile not found!!!");
break;
}
//_______________________________________________________________//
TList *listEffCont[nCentralityBins];
TString listName;
TString listName1;
TString histName;
TString histName1;
TH3D* h1d[nCentralityBins];
TH3D* h1n[nCentralityBins];
TH3D* h2d[nCentralityBins];
TH3D* h2n[nCentralityBins];
TH3F* h3d[nCentralityBins];
TH3F* h4d[nCentralityBins];
TH3F* fHistCorrectionPlus[nCentralityBins];
TH3F* fHistCorrectionMinus[nCentralityBins];
TCanvas *correctionMatrix[nCentralityBins];
TString canvasName;
for(Int_t iBin = 0; iBin < nCentralityBins; iBin++) {
Printf("================Centrality: %s================", strCentrality[iBin].Data());
listName = "listEffContBF_V0M_"; listName += strCentrality[iBin].Data(); listName +="_10";
listName1 = "listQA_V0M_"; listName1 += strCentrality[iBin].Data(); listName1 +="_10";
listEffCont[iBin] = dynamic_cast<TList *>(dirEffCont->Get(listName.Data()));
listEffCont[iBin]->ls();
//____________Efficiency Plus
//correction->cd(1);
h1d[iBin] = dynamic_cast<TH3D*>(listEffCont[iBin]->FindObject("fHistGeneratedEtaPtPhiPlus"));
h1d[iBin]->Sumw2();
h1n[iBin] = dynamic_cast<TH3D*>(listEffCont[iBin]->FindObject("fHistSurvivedEtaPtPhiPlus"));
h1n[iBin]->Sumw2();
h1n[iBin]->Divide(h1d[iBin]);
//h1d->GetYaxis()->SetTitleOffset(1.5);
//h1d->SetTitle("Efficiency (+)");
//h1d->SetName("fHistEfficiencyPlus");
//h1d->Draw("P");
//____________Efficiency Minus
//correction->cd(2);
h2d[iBin] = dynamic_cast<TH3D*>(listEffCont[iBin]->FindObject("fHistGeneratedEtaPtPhiMinus"));
h2d[iBin]->Sumw2();
h2n[iBin] = dynamic_cast<TH3D*>(listEffCont[iBin]->FindObject("fHistSurvivedEtaPtPhiMinus"));
h2n[iBin]->Sumw2();
h2n[iBin]->Divide(h2d[iBin]);
//h2d->GetYaxis()->SetTitleOffset(1.5);
//h2d->SetTitle("Efficiency (-)");
//h2d->SetName("fHistEfficiencyMinus");
//h2d->Draw("P");
//__________Contamination
//correction->cd(3);
h4d[iBin] = dynamic_cast<TH3F*>(listEffCont[iBin]->FindObject("fHistContaminationPrimaries"));
h4d[iBin]->SetName("fHistContaminationPrimaries");
h4d[iBin]->Sumw2();
h3d[iBin] = dynamic_cast<TH3F*>(listEffCont[iBin]->FindObject("fHistContaminationSecondaries"));
h3d[iBin]->SetName("fHistContaminationSecondaries");
h3d[iBin]->Sumw2();
h4d[iBin]->Add(h3d[iBin]);
h3d[iBin]->Divide(h4d[iBin]);
//h3d->GetYaxis()->SetTitleOffset(2.0);
//h3d->GetXaxis()->SetTitleOffset(1.5);
//h3d->SetTitle("Contamination Secondaries");
//h3d->Draw("P");
//_____________________________________________________________
//CORRECTION
Int_t binsX = h3d[0]->GetNbinsX();
Int_t binsY = h3d[0]->GetNbinsY();
Int_t binsZ = h3d[0]->GetNbinsZ();
for (Int_t iHistBinsX = 1; iHistBinsX <binsX+1 ; iHistBinsX++) {
for (Int_t iHistBinsY = 1; iHistBinsY <binsY+1 ; iHistBinsY++) {
for (Int_t iHistBinsZ = 1; iHistBinsZ <binsZ+1 ; iHistBinsZ++) {
h3d[iBin]->SetBinContent(iHistBinsX,iHistBinsY,iHistBinsZ,1 - h3d[iBin]->GetBinContent(iHistBinsX,iHistBinsY,iHistBinsZ));
}
}
}
correctionMatrix[iBin] = new TCanvas(canvasName.Data(),canvasName.Data(),0,0+iBin*50,1400,1000);
correctionMatrix[iBin]->Divide(2,1);
//Correction Maps Plus
histName = "fHistCorrectionPlus";
histName += strCentrality[iBin].Data();
correctionMatrix[iBin]->cd(1);
fHistCorrectionPlus[iBin] = dynamic_cast<TH3F *>(h3d[iBin]->Clone());
fHistCorrectionPlus[iBin]->Divide(h1n[iBin]);
fHistCorrectionPlus[iBin]->SetName(histName.Data());
fHistCorrectionPlus[iBin]->GetYaxis()->SetTitleOffset(2.0);
fHistCorrectionPlus[iBin]->GetXaxis()->SetTitleOffset(1.5);
fHistCorrectionPlus[iBin]->GetZaxis()->SetTitleOffset(2.0);
fHistCorrectionPlus[iBin]->SetTitle("Correction Plus");
fHistCorrectionPlus[iBin]->DrawCopy("");
//Correction Maps Minus
histName1 = "fHistCorrectionMinus";
histName1 += strCentrality[iBin].Data();
correctionMatrix[iBin]->cd(2);
fHistCorrectionMinus[iBin] = dynamic_cast<TH3F *>(h3d[iBin]->Clone());
fHistCorrectionMinus[iBin]->Divide(h2n[iBin]);
fHistCorrectionMinus[iBin]->SetName(histName1.Data());
fHistCorrectionMinus[iBin]->GetYaxis()->SetTitleOffset(2.0);
fHistCorrectionMinus[iBin]->GetXaxis()->SetTitleOffset(1.5);
fHistCorrectionMinus[iBin]->GetZaxis()->SetTitleOffset(2.0);
fHistCorrectionMinus[iBin]->SetTitle("Correction Minus");
fHistCorrectionMinus[iBin]->DrawCopy("");
}
//____________________________________________________________
//Output files
TFile *fCorrectionMaps = TFile::Open("CorrectionMaps.root",
"recreate");
for(Int_t iBin = 0; iBin < nCentralityBins; iBin++) {
fHistCorrectionPlus[iBin]->Write();
fHistCorrectionMinus[iBin]->Write();
}
fCorrectionMaps->Close();
}
void stack_in_cone_contribs(const string& fFile, const double fYmax, const string& fTitleExt, const string& fNameExt) {
string title = "<E> in R_{cone}=0.5 -- "+ fTitleExt +";#eta;<E> [GeV]";
TFile file(fFile.c_str());
TDirectoryFile *subDir = (TDirectoryFile*)file.Get("offsetAnalysis");
TProfile *p_AEC5EB = (TProfile*)subDir->Get("p_AvgEinC5EB");
TProfile *p_AEC5EE = (TProfile*)subDir->Get("p_AvgEinC5EE");
TProfile *p_AEC5HB = (TProfile*)subDir->Get("p_AvgEinC5HB");
TProfile *p_AEC5HE = (TProfile*)subDir->Get("p_AvgEinC5HE");
TProfile *p_AEC5HFl = (TProfile*)subDir->Get("p_AvgEinC5HFl");
TProfile *p_AEC5HFs = (TProfile*)subDir->Get("p_AvgEinC5HFs");
// TProfile *p_AEC5HO = (TProfile*)subDir->Get("p_AvgEinC5HO");
TH1D *h_AEC5EB = p_AEC5EB->ProjectionX();
TH1D *h_AEC5EE = p_AEC5EE->ProjectionX();
TH1D *h_AEC5HB = p_AEC5HB->ProjectionX();
TH1D *h_AEC5HE = p_AEC5HE->ProjectionX();
TH1D *h_AEC5HFl = p_AEC5HFl->ProjectionX();
TH1D *h_AEC5HFs = p_AEC5HFs->ProjectionX();
//TH1D *h_AEC5HO = p_AEC5HO->ProjectionX();
h_AEC5EB->SetFillColor(50);
h_AEC5EE->SetFillColor(8);
h_AEC5HB->SetFillColor(4);
h_AEC5HE->SetFillColor(6);
h_AEC5HFl->SetFillColor(16);
h_AEC5HFs->SetFillColor(12);
//h_AEC5HO->SetFillColor(7);
// TCanvas *c = new TCanvas("c", "",1120,800);
TCanvas *c = new TCanvas("c", "",800,800);
c->cd();
TH2F *h_bg = new TH2F("h_bg",title.c_str(),100,-5.,5.,100,0.,fYmax);
h_bg->GetXaxis()->SetTitleSize(0.05);
h_bg->GetYaxis()->SetTitleSize(0.05);
h_bg->SetTitleOffset(1.,"X");
h_bg->SetTitleOffset(1.3,"Y");
h_bg->Draw();
THStack *hs = new THStack("hs","");
hs->Add(h_AEC5EB);
hs->Add(h_AEC5EE);
hs->Add(h_AEC5HB);
hs->Add(h_AEC5HE);
hs->Add(h_AEC5HFl);
hs->Add(h_AEC5HFs);
//hs->Add(h_AEC5HO);
hs->Draw("histsame");
TLegend *legend = new TLegend(.65,.6,.75,.85);
legend->SetBorderSize(1);
legend->SetFillColor(0);
// legend->SetFillStyle(0);
// legend->SetTextFont(42);
legend->AddEntry(h_AEC5EB,"EB","f");
legend->AddEntry(h_AEC5HB,"HB","f");
legend->AddEntry(h_AEC5EE,"EE","f");
legend->AddEntry(h_AEC5HE,"HE","f");
legend->AddEntry(h_AEC5HFl,"HFl","f");
legend->AddEntry(h_AEC5HFs,"HFs","f");
//legend->AddEntry(h_AEC5HO,"HO","f");
legend->Draw();
string fileName = "h_AvgEinC5_stacked_" + fNameExt;
c->SetGridy();
gPad->Modified();
gPad->Update();
c->SaveAs(fileName.c_str());
delete legend;
delete hs;
delete c;
}
