本文整理汇总了C++中TFile::GetName方法的典型用法代码示例。如果您正苦于以下问题：C++ TFile::GetName方法的具体用法？C++ TFile::GetName怎么用？C++ TFile::GetName使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TFile的用法示例。
在下文中一共展示了TFile::GetName方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: plotVBFVHReweighted
void plotVBFVHReweighted(){
gROOT->ProcessLine(".x tdrstyle.cc");
gStyle->SetOptStat(0);
TString INPUT_NAME = "HtoZZ4l_Phantom_125p6_VHDistributions_GenLevel.root";
TString OUTPUT_NAME = "HtoZZ4l_Phantom_125p6_VHReweightingPlots_GenLevel.root";
double mPOLE = 125.6;
float ZZMass_PeakCut[2] ={ 125.1, 126.1 }; // Spin 0 analysis
float templateWeight = 1;
float GenDiJetMass;
float MC_weight;
float ZZMass = 0;
TString coutput_common = user_TemplateswithTrees_dir + "../VHContributions/Plots/GenLevel/";
gSystem->Exec("mkdir -p " + coutput_common);
TString coutput = coutput_common + OUTPUT_NAME;
TFile* foutput = new TFile(coutput, "recreate");
const int kNumTemplates = 3;
TString templatetitles[kNumTemplates] ={ "VBF Sig", "VBF Bkg", "VBF Int" };
TString templatenames[kNumTemplates] ={ "VBF_Sig", "VBF_Bkg", "VBF_Int" };
TH1F* hVBF_onshell_LC[kNumTemplates] ={ 0 };
TH1F* hVBF_offshell_LC[kNumTemplates] ={ 0 };
TH1F* hVBF_onshell_scaled[kNumTemplates] ={ 0 };
TH1F* hVBF_offshell_scaled[kNumTemplates] ={ 0 };
TH1F* hVBF_onshell_scaled_wVBF[kNumTemplates] ={ 0 };
TH1F* hVBF_offshell_scaled_wVBF[kNumTemplates] ={ 0 };
for (int erg_tev=7; erg_tev<=8; erg_tev++){
for (int folder=0; folder<3; folder++){
TString comstring;
comstring.Form("%i", erg_tev);
TString erg_dir;
erg_dir.Form("LHC_%iTeV/", erg_tev);
int EnergyIndex = 1;
if (erg_tev == 7) EnergyIndex = 0;
TString cinput_common = user_TemplateswithTrees_dir + "../VHContributions/" + erg_dir;
cinput_common += user_folder[folder] + "/";
TString cinput = cinput_common + INPUT_NAME;
TFile* finput = new TFile(cinput, "read");
if (finput->IsZombie()){
delete finput;
continue;
}
else if (finput==0) continue;
cout << "Opened file " << finput->GetName() << endl;
for (int tr=0; tr<kNumTemplates; tr++){
TString templatename = "VBF_";
templatename += templatenames[tr];
TH1F* hVBF_onshell_LC_temp = (TH1F*)finput->Get(Form("%s_onshell_LC", templatename.Data()));
TH1F* hVBF_offshell_LC_temp = (TH1F*)finput->Get(Form("%s_offshell_LC", templatename.Data()));
TH1F* hVBF_onshell_scaled_temp = (TH1F*)finput->Get(Form("%s_onshell_scaled", templatename.Data()));
TH1F* hVBF_offshell_scaled_temp = (TH1F*)finput->Get(Form("%s_offshell_scaled", templatename.Data()));
TH1F* hVBF_onshell_scaled_wVBF_temp = (TH1F*)finput->Get(Form("%s_onshell_scaled_wVBF", templatename.Data()));
TH1F* hVBF_offshell_scaled_wVBF_temp = (TH1F*)finput->Get(Form("%s_offshell_scaled_wVBF", templatename.Data()));
foutput->cd();
gStyle->SetOptStat(0);
if (hVBF_onshell_LC[tr]==0) hVBF_onshell_LC[tr] = (TH1F*)hVBF_onshell_LC_temp->Clone(Form("%s_clone", hVBF_onshell_LC_temp->GetName()));
else hVBF_onshell_LC[tr]->Add(hVBF_onshell_LC_temp);
delete hVBF_onshell_LC_temp;
if (hVBF_onshell_scaled[tr]==0) hVBF_onshell_scaled[tr] = (TH1F*)hVBF_onshell_scaled_temp->Clone(Form("%s_clone", hVBF_onshell_scaled_temp->GetName()));
else hVBF_onshell_scaled[tr]->Add(hVBF_onshell_scaled_temp);
delete hVBF_onshell_scaled_temp;
if (hVBF_onshell_scaled_wVBF[tr]==0) hVBF_onshell_scaled_wVBF[tr] = (TH1F*)hVBF_onshell_scaled_wVBF_temp->Clone(Form("%s_clone", hVBF_onshell_scaled_wVBF_temp->GetName()));
else hVBF_onshell_scaled_wVBF[tr]->Add(hVBF_onshell_scaled_wVBF_temp);
delete hVBF_onshell_scaled_wVBF_temp;
if (hVBF_offshell_LC[tr]==0) hVBF_offshell_LC[tr] = (TH1F*)hVBF_offshell_LC_temp->Clone(Form("%s_clone", hVBF_offshell_LC_temp->GetName()));
else hVBF_offshell_LC[tr]->Add(hVBF_offshell_LC_temp);
delete hVBF_offshell_LC_temp;
if (hVBF_offshell_scaled[tr]==0) hVBF_offshell_scaled[tr] = (TH1F*)hVBF_offshell_scaled_temp->Clone(Form("%s_clone", hVBF_offshell_scaled_temp->GetName()));
else hVBF_offshell_scaled[tr]->Add(hVBF_offshell_scaled_temp);
delete hVBF_offshell_scaled_temp;
if (hVBF_offshell_scaled_wVBF[tr]==0) hVBF_offshell_scaled_wVBF[tr] = (TH1F*)hVBF_offshell_scaled_wVBF_temp->Clone(Form("%s_clone", hVBF_offshell_scaled_wVBF_temp->GetName()));
else hVBF_offshell_scaled_wVBF[tr]->Add(hVBF_offshell_scaled_wVBF_temp);
delete hVBF_offshell_scaled_wVBF_temp;
}
finput->Close();
}
}
TH1F* hVBF_sig[2][3]={
{ hVBF_onshell_LC[0], hVBF_onshell_scaled[0], hVBF_onshell_scaled_wVBF[0] },
{ hVBF_offshell_LC[0], hVBF_offshell_scaled[0], hVBF_offshell_scaled_wVBF[0] }
};
TH1F* hVBF_bkg[2][3]={
{ hVBF_onshell_LC[1], hVBF_onshell_scaled[1], hVBF_onshell_scaled_wVBF[1] },
{ hVBF_offshell_LC[1], hVBF_offshell_scaled[1], hVBF_offshell_scaled_wVBF[1] }
};
TH1F* hVBF_int[2][3]={
{ hVBF_onshell_LC[2], hVBF_onshell_scaled[2], hVBF_onshell_scaled_wVBF[2] },
//.........这里部分代码省略.........
示例2: ZinvVisualization
//.........这里部分代码省略.........
histos[mapname]->SetBinContent(1, 16.86); histos[mapname]->SetBinError(1,sqrt(pow( 1.14,2)+pow( 3.89,2)));
histos[mapname]->SetBinContent(2, 15.66); histos[mapname]->SetBinError(2,sqrt(pow( 1.16,2)+pow( 3.62,2)));
histos[mapname]->SetBinContent(3, 16.99); histos[mapname]->SetBinError(3,sqrt(pow( 1.18,2)+pow( 3.92,2)));
histos[mapname]->SetBinContent(4, 13.70); histos[mapname]->SetBinError(4,sqrt(pow( 1.13,2)+pow( 3.17,2)));
histos[mapname]->SetBinContent(5, 8.91); histos[mapname]->SetBinError(5,sqrt(pow( 0.89,2)+pow( 2.87,2)));
histos[mapname]->SetBinContent(6, 2.27); histos[mapname]->SetBinError(6,sqrt(pow( 0.45,2)+pow( 0.73,2)));
} if(i3==1&&i2==6){//mHT,6j,1b
histos[mapname]->SetBinContent(1, 2.41); histos[mapname]->SetBinError(1,sqrt(pow( 0.70,2)+pow( 1.39,2)));
histos[mapname]->SetBinContent(2, 1.55); histos[mapname]->SetBinError(2,sqrt(pow( 0.52,2)+pow( 0.89,2)));
histos[mapname]->SetBinContent(3, 1.11); histos[mapname]->SetBinError(3,sqrt(pow( 0.45,2)+pow( 0.64,2)));
histos[mapname]->SetBinContent(4, 0.85); histos[mapname]->SetBinError(4,sqrt(pow( 0.42,2)+pow( 0.53,2)));
} if(i3==2&&i2==1){//hHT,2j,1b
histos[mapname]->SetBinContent(1, 2.69); histos[mapname]->SetBinError(1,sqrt(pow( 0.31,2)+pow( 1.80,2)));
histos[mapname]->SetBinContent(2, 2.25); histos[mapname]->SetBinError(2,sqrt(pow( 0.31,2)+pow( 1.51,2)));
} if(i3==2&&i2==3){//hHT,35j,1b
histos[mapname]->SetBinContent(1, 2.16); histos[mapname]->SetBinError(1,sqrt(pow( 0.41,2)+pow( 0.61,2)));
histos[mapname]->SetBinContent(2, 2.40); histos[mapname]->SetBinError(2,sqrt(pow( 0.43,2)+pow( 0.67,2)));
histos[mapname]->SetBinContent(3, 2.57); histos[mapname]->SetBinError(3,sqrt(pow( 0.49,2)+pow( 0.72,2)));
histos[mapname]->SetBinContent(4, 1.70); histos[mapname]->SetBinError(4,sqrt(pow( 0.40,2)+pow( 0.61,2)));
} if(i3==2&&i2==6){//hHT,6j,1b
histos[mapname]->SetBinContent(1, 1.06); histos[mapname]->SetBinError(1,sqrt(pow( 0.44,2)+pow( 0.84,2)));
histos[mapname]->SetBinContent(2, 0.92); histos[mapname]->SetBinError(2,sqrt(pow( 0.53,2)+pow( 0.73,2)));
// histos[mapname]->SetBinContent(3,); histos[mapname]->SetBinError(3,sqrt(pow(,2)+pow(,2)));
}
}}
cout << "Saving." << endl;
TFile *fsavefile = new TFile("../Results/Filtered/GammaJetsPrediction/20130617_test/ZinvPredictionNumbers.root","RECREATE");
fsavefile->cd();
for(map<string,TH1D*>::iterator h=histos.begin(); h!=histos.end();++h){
h->second->Write();
}
fsavefile->Close();
cout << "Saved histograms in " << fsavefile->GetName() << endl;
//make the plots - not TDR style
TLatex TitleBox;
TitleBox.SetNDC();
TitleBox.SetNDC();
TitleBox.SetTextAlign(12);
TitleBox.SetTextFont(42);
TitleBox.SetTextSize(0.04219409);
TitleBox.SetLineWidth(2);
TString text;
string outname;
double max = 0.;
double max1,max2;
string outputdir = "../Results/Filtered/GammaJetsPrediction/20130617_test/ZinvPredictionPlots/";
Util::MakeOutputDir(outputdir);
TCanvas *c1 = new TCanvas("c1", "c1",485,220,700,504);
c1->Range(82.71719,-0.4425771,532.9945,2.212885);
c1->SetFillColor(0);
c1->SetBorderMode(0);
c1->SetBorderSize(2);
c1->SetLeftMargin(0.1494253);
c1->SetRightMargin(0.07327586);
c1->SetTopMargin(0.08016878);
c1->SetBottomMargin(0.1666667);
c1->SetFrameBorderMode(0);
c1->SetFrameBorderMode(0);
for(int i3 = 0; i3<HTbinsize; ++i3){
for(int i2 = 0; i2<signalregionsize; ++i2){
string hs = string("_") + HT_bin[i3] + string("_") + signal_region[i2];// + string("_") + sample_type[i1];
string mapname = "MT2pred" + hs;
string mapnameMC = "MT2truth" + hs;示例3: main
//.........这里部分代码省略.........
// ---------------------------------------------------------------
std::cout << std::endl;
std::cout << "==> Start TMVAClassification" << std::endl;
// Create a new root output file.
TString outfileName( "TMVA_output.root" );
TFile* outputFile = TFile::Open( outfileName, "RECREATE" );
TMVA::Factory *factory = new TMVA::Factory( "TMVAClassification", outputFile,
"!V:!Silent:Color:DrawProgressBar:Transformations=I;D;P;G,D" );
// Add the variables you want to consider
//factory->AddVariable( "MT := MT", 'F' );
//factory->AddVariable( "nJets := nJets", 'F' );
factory->AddVariable( "MET := MET", 'F' );
factory->AddVariable( "MT2W := MT2W", 'F' );
factory->AddVariable( "dPhiMETjet := dPhiMETjet", 'F' );
factory->AddVariable( "HTratio := HTratio", 'F' );
factory->AddVariable( "HadronicChi2 := HadronicChi2", 'F' );
factory->AddVariable( "nWTag := nWTag", 'I' );
// Open samples
TFile* f_signal = TFile::Open((string(MICROTUPLES_FOLDER)+"signal.root").c_str());
TFile* f_ttbar = TFile::Open((string(MICROTUPLES_FOLDER)+"ttbar.root" ).c_str());
//TFile* f_W2Jets = TFile::Open((string(MICROTUPLES_FOLDER)+"W2Jets.root").c_str());
//TFile* f_W3Jets = TFile::Open((string(MICROTUPLES_FOLDER)+"W3Jets.root").c_str());
//TFile* f_W4Jets = TFile::Open((string(MICROTUPLES_FOLDER)+"W4Jets.root").c_str());
TTree* signal = (TTree*) f_signal->Get("microTuple");
TTree* ttbar = (TTree*) f_ttbar ->Get("microTuple");
//TTree* W2Jets = (TTree*) f_W2Jets->Get("microTuple");
//TTree* W3Jets = (TTree*) f_W3Jets->Get("microTuple");
//TTree* W4Jets = (TTree*) f_W4Jets->Get("microTuple");
// Register the trees
// float weightSignal = 1.0 * 20000.0 / getNumberOfEvent(signal);
// float weightBackground = 225.2 * 20000.0 / getNumberOfEvent(ttbar);
float weightSignal = 1.0;
float weightBackground = 1.0;
factory->AddSignalTree ( signal, weightSignal );
factory->AddBackgroundTree( ttbar, weightBackground);
/*
cout << " signal ; w = " << 1.0 * 20000.0 / getNumberOfEvent(signal) << endl;
factory->AddSignalTree ( signal, 1.0 * 20000.0 / getNumberOfEvent(signal));
cout << " ttbar ; w = " << 225.2 * 20000.0 / getNumberOfEvent(ttbar) << endl;
factory->AddBackgroundTree( ttbar, 234.0 * 20000.0 / getNumberOfEvent(ttbar));
cout << " W2Jets ; w = " << 2159 * 20000.0 / getNumberOfEvent(W2Jets) << endl;
factory->AddBackgroundTree( W2Jets, 2159 * 20000.0 / getNumberOfEvent(W2Jets));
cout << " W3Jets ; w = " << 640 * 20000.0 / getNumberOfEvent(W3Jets) << endl;
factory->AddBackgroundTree( W3Jets, 640 * 20000.0 / getNumberOfEvent(W3Jets));
cout << " W4Jets ; w = " << 264 * 20000.0 / getNumberOfEvent(W4Jets) << endl;
factory->AddBackgroundTree( W4Jets, 264 * 20000.0 / getNumberOfEvent(W4Jets));
*/
// Add preselection cuts
std::string preselectionCutsSig("nJets > 4 && MET > 80 && MT > 100");
std::string preselectionCutsBkg("nJets > 4 && MET > 80 && MT > 100");
// Prepare the training
factory->PrepareTrainingAndTestTree( preselectionCutsSig.c_str(), preselectionCutsBkg.c_str(),
"nTrain_Signal=40000:nTrain_Background=300000:nTest_Signal=40000:nTest_Background=300000:SplitMode=Random:NormMode=EqualNumEvents:!V" );
// Cut optimisation
//if (Use["Cuts"]) factory->BookMethod( TMVA::Types::kCuts, "Cuts",
// "!H:!V:FitMethod=MC:EffSel:SampleSize=200000:VarProp=FSmart" );
if (Use["BDT"]) factory->BookMethod( TMVA::Types::kBDT, "BDT",
"!H:!V:NTrees=400:nEventsMin=400:MaxDepth=3:BoostType=AdaBoost:SeparationType=GiniIndex:nCuts=20:PruneMethod=NoPruning");
// --------------------------------------------------------------
// Train MVAs using the set of training events
factory->TrainAllMethodsForClassification();
// Evaluate all MVAs using the set of test events
factory->TestAllMethods();
// Evaluate and compare performance of all configured MVAs
factory->EvaluateAllMethods();
// --------------------------------------------------------------
// Save the output
outputFile->Close();
std::cout << "==> Wrote root file: " << outputFile->GetName() << std::endl;
std::cout << "==> TMVAClassification is done!" << std::endl;
delete factory;
// Launch the GUI for the root macros
//if (!gROOT->IsBatch()) TMVAGui( outfileName );
}示例4: createCorrectedBackgroundModel
void createCorrectedBackgroundModel(std::string fileName, int nsidebands=6, bool makePlots=false, std::string defaultPrepend="CMS-HGG" ){
if (makePlots){
system("mkdir -p BMplots/ada");
system("mkdir -p BMplots/grad");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
}
global_nMassBins=nsidebands;
double massMin = 120;
double massMax = 130;
double dM = 0.1;
// Open the original Workspace
TFile *in = TFile::Open(fileName.c_str(),"UPDATE");
RooWorkspace *work = (RooWorkspace*)in->Get("cms_hgg_workspace");
std::string types[2]={"grad","ada"};
for (int ty=0;ty<2;ty++){
std::string type = types[ty];
// Create An output file for the TF1 Sideband Fits
std::string pathToFile=fileName.substr(0,fileName.find(defaultPrepend.c_str()));
std::string fName=fileName.substr(fileName.find(defaultPrepend.c_str()),fileName.size());
TFile *out = new TFile(Form("%sbdtSidebandFits_%s_%s",pathToFile.c_str(),type.c_str(),fName.c_str()),"RECREATE");
for (double mH=massMin;mH<=massMax;mH+=dM){
//TH1F *originalHist = (TH1F*) in->Get(Form("th1f_bkg_%s_%3.1f_cat0",type.c_str(),mH)); // This histogram is normalized to the inclusive fit (will not include VBF cat)
RooRealVar *nSignalVar = (RooRealVar*)work->var(Form("NBkgInSignal_mH%3.1f",mH));
TH1F *dataHist = (TH1F*) in->Get(Form("th1f_data_%s_%3.1f_cat0",type.c_str(),mH)); // Data Histogram, includes VBF category
int nBins = dataHist->GetNbinsX();
// Want to make a "corrected" histogram
TH1F *correctedHist = new TH1F(Form("th1f_bkg_%s_%3.1f_cat0_fitsb_biascorr",type.c_str(),mH),Form("th1f_bkg_%s_%3.1f_cat0_fitsb_biascorr",type.c_str(),mH),nBins,0,nBins);
TH1F *correctedHistFR = new TH1F(Form("th1f_bkg_%s_%3.1f_cat0_fitsb_biascorr_frac",type.c_str(),mH),Form("th1f_bkg_%s_%3.1f_cat0_fitsb_biascorr_frac",type.c_str(),mH),nBins,0,nBins);
TH2F *hFCovar=new TH2F(Form("fCovar_%3.1f",mH),
Form("Fraction covariance matrix m %3.1f",mH),
nBins,0.0,nBins,nBins,0.0,nBins);
TH2F *uCorrErr = new TH2F(Form("fUncorrErr_%s_%3.1f",type.c_str(),mH),
Form("Uncorrelated Errors m %3.1f",mH),
nBins,0.0,nBins,nBins,0.0,nBins);
TDirectory *mass_dir = out->mkdir(Form("mH_%3.1f",mH));
// For a given mass point, need to set up globals
global_nBdtBins=nBins;
global_mH=mH;
global_nSignalRegion=nSignalVar->getVal();
fillData(mH,in,type);
paulFit(mass_dir,correctedHistFR,correctedHist,hFCovar,makePlots,type);
// Finally Get the uncorrleated errors from the covariance matrix
diagonalizeMatrix(hFCovar,uCorrErr);
std::cout << "Final Check of Normalizations at mH="<<mH <<std::endl;
std::cout << "Original - "<< global_nSignalRegion << ", After - " <<correctedHist->Integral() <<std::endl;
// Write out the Hists into the original File
in->cd();
correctedHist->Write(correctedHist->GetName(),TObject::kOverwrite);
correctedHistFR->Write(correctedHistFR->GetName(),TObject::kOverwrite);
//hFCovar->Write();
uCorrErr->Write(uCorrErr->GetName(),TObject::kOverwrite);
out->cd();
mass_dir->cd();
uCorrErr->Write(uCorrErr->GetName(),TObject::kOverwrite);
if (makePlots){
TCanvas *canv = new TCanvas();
uCorrErr->SetMarkerColor(kGray);
gPad->SetRightMargin(2.);
uCorrErr->Draw("colz text");
canv->Print(Form("BMplots/%s/uncorrErr_m%3.1f.png",type.c_str(),mH));
canv->Print(Form("BMplots/%s/uncorrErr_m%3.1f.pdf",type.c_str(),mH));
}
}
std::cout << "Saving Fits to file -> " << out->GetName() << std::endl;
out->Close();
}
std::cout << "Updated (with corrected background model) -> " << in->GetName() << std::endl;
in->Close();
}示例5: combinePreFullTests
void combinePreFullTests( string rootFullName, string rootPreTest, string rootOutputName)
{
// open output file
TFile *_fileSave = TFile::Open( rootOutputName.c_str(), "new" );
// open existing files
TFile * fileFullTest = TFile::Open( rootFullName.c_str(),"read" );
TFile * filePreTest = TFile::Open( rootPreTest.c_str(),"read" );
fileFullTest->cd();
if( ! fileFullTest ) continue;
TIter nextkey( gDirectory->GetListOfKeys() );
TKey * key;
cout << "Copy Subdirectory/histograms from " << fileFullTest->GetName() << endl;
cout << "into the file: " << _fileSave->GetName() << endl;
while( ( key = (TKey*)nextkey() ) ) {
TObject * obj = key->ReadObj();
if (obj->IsA()->InheritsFrom( "TDirectory" )){
cout << "----- Subdir " << obj->GetName() << " " << obj->GetUniqueID() << endl;
// create same structure
_fileSave->mkdir(obj->GetName());
// loop over all histograms in subdirectory
fileFullTest->cd(obj->GetName());
TIter nextkey2( gDirectory->GetListOfKeys() );
TKey * key2;
string objName = obj->GetName();
if (objName.substr(0,3) == "BB2"){
cout << "for Subdirectory BB2 in file " << fileFullTest->GetName() << " do nothing" << endl;
}
else{
while( ( key2 = (TKey*)nextkey2() ) ) {
_fileSave->cd();
TObject * obj2 = key2->ReadObj();
if( obj2->IsA()->InheritsFrom( "TH2D" )) {
//cout << "2d histograms " << obj2->GetName() << endl;
TH2D * h2 = (TH2D*)obj2;
_fileSave->cd(obj->GetName());
h2->Write();
}
else if ( obj2->IsA()->InheritsFrom( "TH1D" )) {
//cout << "1d histograms " << obj2->GetName() << endl;
TH1D * h1 = (TH1D*)obj2;
_fileSave->cd(obj->GetName());
h1->Write();
}
}
} // do not save BB2 from Fulltest but from next file
// here please save BB2 to final file
}
else{
// store Histograms which are not in a subdirectory HA and HD
_fileSave->cd();
if ( obj->IsA()->InheritsFrom( "TH1D" )) {
//cout << "1d histograms " << obj->GetName() << endl;
TH1D * h1 = (TH1D*)obj;
_fileSave->cd();
h1->Write();
}
//cout << obj->GetName() << " this is a histogram " << endl;
}
}
// Now use BB2 from Pretest and store it in the outputfile _fileSave
if( ! filePreTest ) continue;
filePreTest->cd();
filePreTest->cd("BB2");
cout << "copy BB2 histograms from file " << filePreTest->GetName() << " into " << _fileSave->GetName() << endl;
TIter nextkey3( gDirectory->GetListOfKeys() );
TKey * key3;
while( ( key3 = (TKey*)nextkey3() ) ) {
TObject * obj3 = key3->ReadObj();
if( obj3->IsA()->InheritsFrom( "TH2D" )) {
//cout << "2d histograms " << obj3->GetName() << endl;
TH2D * h2 = (TH2D*)obj3;
_fileSave->cd("BB2");
h2->Write();
}
else if ( obj3->IsA()->InheritsFrom( "TH1D" )) {
//cout << "1d histograms " << obj3->GetName() << endl;
TH1D * h1 = (TH1D*)obj3;
_fileSave->cd("BB2");
h1->Write();
}
//cout << "----- " << obj3->GetName() << endl;
}
fileFullTest->Close();
//.........这里部分代码省略.........
示例6: Ana
int Ana(const char *filename, const char* outdir, TFile *fileout)
{
//TFile *file = new TFile("mc_KPI_22324.root");
TFile *file;
if (filename==0) file= new TFile("KK_22324.root");
else file = new TFile(filename);
std::cout<<"File name is "<<file->GetName()<<std::endl;
if (file==0) return -1;
TTree *tree = (TTree*)file->Get("TwoProng");
if (tree==0) return -2;
double ene[22];
double pcut[22];
double epcut[22];
double thecut[22];
double m_pcut;
double m_epcut;
double m_thecut;
ifstream cutin("cutpar");
char line[1000];
if (cutin.is_open()) cutin.getline(line,1000);
int iene=0;
// set E/p and p cut, mark: set cut
while (!cutin.eof()){
cutin.getline(line,1000);
istringstream iss;
iss.str(line);
iss>>ene[iene]>>pcut[iene]>>epcut[iene];
iene++;
if (iene==22) break;
}
for (int i=0;i<22;i++) epcut[i] = 1.64295 - 0.629622*ene[i] + 0.104755 *pow(ene[i],2);
//for (int i=0;i<21;i++) thecut[i] = 173.946 + 1.74736*ene[i];
for (int i=0;i<22;i++) thecut[i] = 179;
double kappx,kappy,kappz,kampx,kampy,kampz;
int nneu;
int run;
int idxmc;
int pdgid[100];
int motheridx[100];
int emcstatusInt;
short emcstatusShort;
double emctrk1;
double emctrk2;
double epratio1;
double epratio2;
int ntof1;
int ntof2;
int tofl1[5];
int tofl2[5];
double tof1[5];
double tof2[5];
tree->SetBranchAddress("run",&run);
tree->SetBranchAddress("indexmc",&idxmc);
tree->SetBranchAddress("pdgid",pdgid);
tree->SetBranchAddress("motheridx",motheridx);
tree->SetBranchAddress("kappx",&kappx);
tree->SetBranchAddress("kappy",&kappy);
tree->SetBranchAddress("kappz",&kappz);
tree->SetBranchAddress("kampx",&kampx);
tree->SetBranchAddress("kampy",&kampy);
tree->SetBranchAddress("kampz",&kampz);
//tree->SetBranchAddress("costheta",&costheta);
tree->SetBranchAddress("nneu",&nneu);
if (strncmp(tree->GetBranch("emcstatus")->GetLeaf("emcstatus")->GetTypeName(),"Short_t",7)==0)
tree->SetBranchAddress("emcstatus",&emcstatusShort);
else
tree->SetBranchAddress("emcstatus",&emcstatusInt);
tree->SetBranchAddress("epratio1",&epratio1);
tree->SetBranchAddress("epratio2",&epratio2);
tree->SetBranchAddress("emctrk1",&emctrk1);
tree->SetBranchAddress("emctrk2",&emctrk2);
tree->SetBranchAddress("ntof1",&ntof1);
tree->SetBranchAddress("toflayer1",tofl1);
tree->SetBranchAddress("tof1",tof1);
tree->SetBranchAddress("ntof2",&ntof2);
tree->SetBranchAddress("toflayer2",tofl2);
tree->SetBranchAddress("tof2",tof2);
double pi = TMath::Pi();
double mka = 0.493677;
//double mka = 0.13957;
//double mka = 0.1057;
tree->GetEntry(0);
double Ebeam = GetEnergy(run);
if (Ebeam<1.0) Ebeam = getEne(filename);
//Ebeam = 3.08;
for (int iene=0;iene<22;iene++){
if (fabs(Ebeam-ene[iene])<1e-4) {
m_pcut = pcut[iene];
m_epcut = epcut[iene];
m_thecut = thecut[iene];
break;
}
}
//m_epcut = m_epcut +0.05; // change E/p to determine uncertainty from this cut
//m_thecut = 179+0.2; // uncertainty from theta cut
//.........这里部分代码省略.........
示例7: RunEbyEFlowAnalysisFWLite
//.........这里部分代码省略.........
cerr << "Could not retrieve fileset: " << gFilesetname << endl;
return;
}
vector<string> fileNames = GetDataVector(files,gFfrom,gFto);
fwlite::ChainEvent event(fileNames);
//Initialize the analyzer
EbyEFlowAnalyzerFWLite* corr = new EbyEFlowAnalyzerFWLite(event);
corr->SetCutParameters(gCut);
TString strtrgid = "Track";
if(gSystem->Getenv("TRGID")) strtrgid = gSystem->Getenv("TRGID");
DiHadronCorrelationMultiBaseFWLite::ParticleType gTrgID = corr->GetParticleID(strtrgid);
TString strassid = "Track";
if(gSystem->Getenv("ASSID")) strassid = gSystem->Getenv("ASSID");
DiHadronCorrelationMultiBaseFWLite::ParticleType gAssID = corr->GetParticleID(strassid);
corr->SetTrgID(gTrgID);
corr->SetAssID(gAssID);
if(gCentfilename.Contains("root"))
{
cout<<"Running correlation analysis in Heavy Ion!"<<endl;
TFile* fcentfile = new TFile(gCentfilename.Data());
if(fcentfile->IsOpen()) corr->SetCentrality(fcentfile,gCenttablename,gNCentBins,gCentRunnum);
else cout<<"Centrality table cannot be opened!"<<endl;
}
else cout<<"Running correlation analysis in pp!"<<endl;
if(gEffhistname.Contains("root"))
{
TFile* feffhist = new TFile(gEffhistname.Data());
if(feffhist->IsOpen())
{
TH3D* htotaleff = 0;
if(!gCut.IsHI) htotaleff = (TH3D*)feffhist->Get("rTotalEff3D");
else
{
int histcentbin = -1;
if((gCut.centmin>=0 && gCut.centmax<=2) || gCut.centmin>=50) histcentbin = 0;
if(gCut.centmin>=2 && gCut.centmax<=4) histcentbin = 1;
if(gCut.centmin>=4 && gCut.centmax<=12) histcentbin = 2;
if(gCut.centmin>=12 && gCut.centmax<=20) histcentbin = 3;
if(gCut.centmin>=20 && gCut.centmax<=40) histcentbin = 4;
if(gCut.centmin==-1 && gCut.centmax==-1) histcentbin = 4;
htotaleff = (TH3D*)feffhist->Get(Form("Tot_%d",histcentbin));
}
corr->LoadEffWeight(htotaleff);
cout<<"Tracking efficiency weighting histogram is loaded!"<<endl;
}
else cout<<"Tracking efficiency weighting file cannot be opened!"<<endl;
}
else cout<<"No Tracking efficiency weighting histogram is found, or it's running MC!"<<endl;
if(gTrghistname.Contains("root"))
{
TFile* ftrghist = new TFile(gTrghistname.Data());
if(ftrghist->IsOpen())
{
corr->LoadTrgWeight((TH1D*)ftrghist->Get("trgEff"));
cout<<"Triggering efficiency weighting histogram is loaded!"<<endl;
}
else cout<<"Triggering efficiency weighting file cannot be opened!"<<endl;
}
else cout<<"No Triggering efficiency weighting histogram is found, or it's running MC!"<<endl;
if(gPileupdistfunchistname.Contains("root"))
{
TFile* fpileupdistfunchist = new TFile(gPileupdistfunchistname.Data());
if(fpileupdistfunchist->IsOpen())
{
corr->LoadPileUpDistFunc((TH1D*)fpileupdistfunchist->Get("distfunc"));
cout<<"Pileup distfunc histogram is loaded!"<<endl;
}
else cout<<"Pileup distfunc file cannot be opened!"<<endl;
}
corr->Process();
// open output file
TString outputfilename = Form("%s/%s/unmerged/%s_%s_ffrom%d_fto%d_vtxmin%.1f_vtxmax%.1f_nmin%d_nmax%d_etatrg%.1f-%.1f_etaass%.1f-%.1f_centmin%d_centmax%d.root",gOutputDir.Data(),gEventtype.Data(),gEventtype.Data(),gTag.Data(),gFfrom,gFto,gCut.zvtxmin,gCut.zvtxmax,gCut.nmin,gCut.nmax,gCut.etatrgmin,gCut.etatrgmax,gCut.etaassmin,gCut.etaassmax,gCut.centmin,gCut.centmax);
TFile* outf = new TFile(outputfilename.Data(),"recreate");
// Save the outputs
TList* output = corr->GetOutputs();
if(outf && output) {
outf->cd();
output->Write();
cout << "Output file " << outf->GetName()
<< " written: " << endl;
outf->ls();
outf->Close();
if(outf) delete outf;
}
delete output;
watch->Stop();
watch->Print();
}示例8: TMVAClassification
//.........这里部分代码省略.........
TFile *input_F_ZH145 = TFile::Open( fname_F_ZH145 );
TFile *input_SingleTbar_s = TFile::Open( fname_SingleTbar_s );
TFile *input_WJetsToLNu = TFile::Open( fname_WJetsToLNu );
TFile *input_Data7TeV_DoubleElectron2011A_1 = TFile::Open( fname_Data7TeV_DoubleElectron2011A_1 );
TFile *input_F_ZH125 = TFile::Open( fname_F_ZH125 );
TFile *input_ZZ = TFile::Open( fname_ZZ );
TFile *input_Data7TeV_MuEG2011B_1 = TFile::Open( fname_Data7TeV_MuEG2011B_1 );
TFile *input_F_ZH135 = TFile::Open( fname_F_ZH135 );
TFile *input_WW = TFile::Open( fname_WW );
TFile *input_Data7TeV_DoubleMu2011A_0 = TFile::Open( fname_Data7TeV_DoubleMu2011A_0 );
TFile *input_SingleTbar_tW = TFile::Open( fname_SingleTbar_tW );
TFile *input_WZ = TFile::Open( fname_WZ );
TFile *input_Data7TeV_MuEG2011A_0 = TFile::Open( fname_Data7TeV_MuEG2011A_0 );
TFile *input_Data7TeV_DoubleMu2011B_1 = TFile::Open( fname_Data7TeV_DoubleMu2011B_1 );
TFile *input_F_ZH115 = TFile::Open( fname_F_ZH115 );
TFile *input_SingleT_t = TFile::Open( fname_SingleT_t );
std::cout << "--- TMVAClassification : Using input_Data7TeV_DoubleElectron2011B_0 file: " << input_Data7TeV_DoubleElectron2011B_0->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_MuEG2011B_0 file: " << input_Data7TeV_MuEG2011B_0->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_SingleT_tW file: " << input_SingleT_tW->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_SingleT_s file: " << input_SingleT_s->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_DoubleMu2011B_0 file: " << input_Data7TeV_DoubleMu2011B_0->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_F_ZH150 file: " << input_F_ZH150->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_F_ZH105 file: " << input_F_ZH105->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_DoubleElectron2011A_0 file: " << input_Data7TeV_DoubleElectron2011A_0->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_DYJetsToLL file: " << input_DYJetsToLL->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_SingleTbar_t file: " << input_SingleTbar_t->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_DoubleElectron2011B_1 file: " << input_Data7TeV_DoubleElectron2011B_1->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_DoubleMu2011A_1 file: " << input_Data7TeV_DoubleMu2011A_1->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_Data7TeV_MuEG2011A_1 file: " << input_Data7TeV_MuEG2011A_1->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_TTJets file: " << input_TTJets->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_F_ZH145 file: " << input_F_ZH145->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_SingleTbar_s file: " << input_SingleTbar_s->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input_WJetsToLNu file: " << input_WJetsToLNu->GetName() << std::endl;示例9: bfcread_tagsBranch
void bfcread_tagsBranch(
const char *MainFile="/afs/rhic.bnl.gov/star/data/samples/gstar.tags.root",
Int_t printEvent=1,
const char *fname="qa_tags.out",
Int_t fullPrint=0)
{
// start timer
TStopwatch timer;
timer.Start();
cout << endl << endl;
cout << " bfcread_tagsBranch.C: input file = " << MainFile << endl;
cout << " bfcread_tagsBranch.C: print event # " << printEvent << endl;
cout << " bfcread_tagsBranch.C: output file = " << fname << endl;
cout << " bfcread_tagsBranch.C: full printout = " << fullPrint << endl;
cout << endl;
ofstream fout(fname);
fout << endl << endl;
fout << " bfcread_tagsBranch.C: input file = " << MainFile << endl;
fout << " bfcread_tagsBranch.C: print evt# = " << printEvent << endl;
fout << " bfcread_tagsBranch.C: output file = " << fname << endl;
fout << " bfcread_tagsBranch.C: full printout = " << fullPrint << endl;
fout << endl;
TFile *file = TFile::Open(MainFile);
TTree *tree = (TTree*)file->Get("Tag");
cout <<" read file: " << file->GetName() << endl << endl;
Int_t nEntries = tree->GetEntries();
cout << " Total # events = " << nEntries << endl;
TObjArray *leaves = tree->GetListOfLeaves();
Int_t nLeaves = leaves->GetEntriesFast();
cout << " Total # leaves = " << nLeaves << endl;
TString *tName = new TString(" ");
TNamed *tableName=0;
TObjArray *tagTable = new TObjArray;
Int_t tableCount = 0;
Int_t *tableIndex = new Int_t[nLeaves];
Int_t tagCount = 0;
TBranch *branch=0;
TLeaf *leaf=0;
Int_t ndim =0;
//count number of tag tables encoded in the TTree branch names
for (Int_t l=0;l<nLeaves;l++) {
leaf = (TLeaf*)leaves->UncheckedAt(l);
tagCount+=leaf->GetNdata();
branch = leaf->GetBranch();
cout << "leaf # " << l << " br name = " <<
branch->GetName() << endl;
//new tag table name
if ( strstr(branch->GetName(), tName->Data()) == 0 ) {
tName = new TString(branch->GetName());
tName->Resize(tName->Index("."));
//the tableName is encoded in the branch Name before the "."
tableName = new TNamed(tName->Data(),"Tag");
tagTable->AddLast(tableName);
tableCount++;
}
tableIndex[l]=tableCount-1;
}
cout << endl << " Total num tables(branches),tags = "
<< tableCount << " " << tagCount << endl << endl;
Int_t *countTagsTable = new Int_t[tableCount];
Int_t *countLeavesTable = new Int_t[tableCount];
Float_t *sumTagsLeaf = new Float_t[nLeaves];
Int_t *countTagsLeaf = new Int_t[nLeaves];
// Now loop over leaves (to get values of tags)
Int_t setBranch = -1;
Int_t nowBranch = -1;
for (Int_t l=0;l<nLeaves;l++) {
leaf = (TLeaf*)leaves->UncheckedAt(l);
branch = leaf->GetBranch();
ndim = leaf->GetNdata();
nowBranch = tableIndex[l];
//cout << " nowbranch, setBranch = " <<
// nowBranch << ", "<< setBranch << endl;
Float_t RtableIndex=tableIndex[l];
if (nowBranch != setBranch){
setBranch=nowBranch;
cout << " QAInfo: branch ";
cout.width(2);
cout << tableIndex[l] << " = ";
//.........这里部分代码省略.........
示例10: writentuple_pp
int writentuple_pp(char *ksp="ppJet40")
{
timer.Start();
//LoadLib();
TString inname="";
if(strcmp(ksp,"ppJet40")==0)inname = "/hadoop/store/user/belt/hiForest2/PP2013_HiForest_PromptReco_JSon_Jet40Jet60_ppTrack_forestv84.root";
else if(strcmp(ksp,"ppJet80")==0)inname = "/hadoop/store/user/belt/hiForest2/PP2013_HiForest_PromptReco_JsonPP_Jet80_PPReco_forestv82.root";
//! Load Lib
//gSystem->Load("/afs/cern.ch/user/p/pawan/scratch0/CMSSW_6_2_0/src/work/pPb/HiForest/V3/hiForest_h.so");
//! Define the input file and HiForest
//! CMSSW_5_3_3
HiForest *c = new HiForest(inname,Form("Forest%s",ksp),cPP);
cout<<"Loaded the hiforest tree : "<<c->GetName()<<endl;
ShutoffBranches(c);
DuplicateEvents dupEvt(inname);
dupEvt.MakeList();
//! Output file
//! HIHighPt
TFile *fout = new TFile(Form("ntuple_2013_%s.root",ksp),"RECREATE");
std::cout<<"\t"<<std::endl;
std::cout<<"\t"<<std::endl;
std::cout<<"**************************************************** "<<std::endl;
std::cout<<Form("Running for %s ",ksp)<<std::endl;
std::cout<<Form("pT cut for %0.3f ",kptrecocut)<<std::endl;
std::cout<<Form("eta cut for %0.3f ",ketacut)<<std::endl;
std::cout<<"My hiForest Tree : " <<c->GetName()<<"\t Entries "<<c->GetEntries()<<std::endl;
std::cout<<"Output file "<<fout->GetName()<<std::endl;
std::cout<<"**************************************************** "<<std::endl;
std::cout<<"\t"<<std::endl;
std::cout<<"\t"<<std::endl;
//! shut off jet trees
//c->hasAk2CaloJetTree=0;
//c->hasAk4CaloJetTree=0;
//c->hasAk3CaloJetTree=0;
//c->hasAk5CaloJetTree=0;
c->hasAkPu2CaloJetTree=0;
c->hasAkPu4CaloJetTree=0;
c->hasAkPu3CaloJetTree=0;
//c->hasAkPu5CaloJetTree=0;
//c->hasAk2PFJetTree=0;
//c->hasAk4PFJetTree=0;
//c->hasAk5PFJetTree=0;
//c->hasAkPu2PFJetTree=0;
//c->hasAkPu4PFJetTree=0;
//c->hasAkPu5PFJetTree=0;
c->hasTrackTree=0;
//! For jets
Jets *mJets=0;
Long64_t nentries = c->GetEntries();
std::cout<<Form("# of entries in TTree for %s : ",ksp)<<nentries<<std::endl;
string jetVars = "";
jetVars += "evt:run:vz:trig:jet40:jet60:jet80:jet100:ntrk:nrefe:pt:raw:eta:phi:chMax:trkMax:chSum:phSum:neSum";
TNtuple *ntjet=0;
ntjet = new TNtuple("ntjet","",jetVars.data());
for (Long64_t ievt=0; ievt<nentries;ievt++) {//! event loop
//for (Long64_t ievt=0; ievt<100;ievt++) {//! event loop
//! load the hiForest event
c->GetEntry(ievt);
if(dupEvt.occurence[ievt] == 2)continue;
//! events with Single vertex
bool evSel = false;
float trig=-9;
if(strcmp(ksp,"ppJet40")==0){
evSel = fabs(c->evt.vz)<15. && c->skim.pHBHENoiseFilter && c->skim.pPAcollisionEventSelectionPA && (c->hlt.HLT_PAJet40_NoJetID_v1 || c->hlt.HLT_PAJet60_NoJetID_v1);
trig=1;
}
else if(strcmp(ksp,"ppJet80")==0){
evSel = fabs(c->evt.vz)<15. && c->skim.pHBHENoiseFilter && c->skim.pPAcollisionEventSelectionPA && (c->hlt.HLT_PAJet80_NoJetID_v1 || c->hlt.HLT_PAJet100_NoJetID_v1);
trig=2;
}
if(!evSel)continue;
float pt = -9,raw = -9,eta = -9,phi = -9,chMax = -9,trkMax=-9,chSum = -9,phSum = -9,neSum = -9,nrefe = 0;
float run = c->evt.run;
float evt = c->evt.evt;
float vz = c->evt.vz;
//.........这里部分代码省略.........
示例11: UTMplots
//.........这里部分代码省略.........
Data->Draw("misc.MT2>>DataWVSPT40", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM==0&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=40&&misc.Vectorsumpt<50","goff");
cout << "DataWVSPT50" << endl;
Data->Draw("misc.MT2>>DataWVSPT50", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM==0&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=50&&misc.Vectorsumpt<70","goff");
cout << "DataWVSPT70" << endl;
Data->Draw("misc.MT2>>DataWVSPT70", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM==0&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=70&&misc.Vectorsumpt<100","goff");
cout << "DataWVSPT100" << endl;
Data->Draw("misc.MT2>>DataWVSPT100","NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM==0&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=100","goff");
cout << "DataWVSPT0" << endl;
Data->Draw("misc.MT2>>DataTopVSPT0", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=0&&misc.Vectorsumpt<20","goff");
cout << "DataTopVSPT20" << endl;
Data->Draw("misc.MT2>>DataTopVSPT20", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=20&&misc.Vectorsumpt<30","goff");
cout << "DataTopVSPT30" << endl;
Data->Draw("misc.MT2>>DataTopVSPT30", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=30&&misc.Vectorsumpt<40","goff");
cout << "DataTopVSPT40" << endl;
Data->Draw("misc.MT2>>DataTopVSPT40", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=40&&misc.Vectorsumpt<50","goff");
cout << "DataTopVSPT50" << endl;
Data->Draw("misc.MT2>>DataTopVSPT50", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=50&&misc.Vectorsumpt<70","goff");
cout << "DataTopVSPT70" << endl;
Data->Draw("misc.MT2>>DataTopVSPT70", "NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=70&&misc.Vectorsumpt<100","goff");
cout << "DataTopVSPT100" << endl;
Data->Draw("misc.MT2>>DataTopVSPT100","NJetsIDLoose40>=2&&misc.HT>750&&misc.MET>10&&(NEles+NMuons)==1&&NTausIDLoose3Hits==0&&misc.MinMetJetDPhi4Pt40>0.5&&NBJets40CSVM>=1&&misc.PassJet40ID ==1&&misc.HBHENoiseFlag == 0&&misc.CSCTightHaloIDFlag == 0&&misc.trackingFailureFlag==0&&misc.eeBadScFlag==0&&misc.EcalDeadCellTriggerPrimitiveFlag==0&&misc.TrackingManyStripClusFlag==0&&misc.TrackingTooManyStripClusFlag==0&&misc.TrackingLogErrorTooManyClustersFlag==0&&misc.CrazyHCAL==0&&(misc.MET>30||misc.MET/misc.CaloMETRaw<=2.)&&misc.Vectorsumpt>=100","goff");
TLegend *leg = new TLegend(.6,.6,.90,.90);
leg->SetName("leg");
leg -> SetFillColor(0);
leg -> SetBorderSize(0);
leg->AddEntry(LM6VSPT0,"0 #leq VSPT < 20 GeV", "l");
leg->AddEntry(LM6VSPT20,"20 #leq VSPT < 30 GeV", "l");
leg->AddEntry(LM6VSPT30,"30 #leq VSPT < 40 GeV", "l");
leg->AddEntry(LM6VSPT40,"40 #leq VSPT < 50 GeV", "l");
leg->AddEntry(LM6VSPT50,"50 #leq VSPT < 70 GeV", "l");
leg->AddEntry(LM6VSPT70,"70 #leq VSPT < 100 GeV", "l");
leg->AddEntry(LM6VSPT100,"100 GeV #leq VSPT", "l");
//store the file
TFile *file = new TFile("UTMfile.root","RECREATE");
file->cd();
LM6VSPT0 ->Write();
LM6VSPT20 ->Write();
LM6VSPT30 ->Write();
LM6VSPT40 ->Write();
LM6VSPT50 ->Write();
LM6VSPT70 ->Write();
LM6VSPT100->Write();
WJetsVSPT0 ->Write();
WJetsVSPT20 ->Write();
WJetsVSPT30 ->Write();
WJetsVSPT40 ->Write();
WJetsVSPT50 ->Write();
WJetsVSPT70 ->Write();
WJetsVSPT100->Write();
ZJetsVSPT0 ->Write();
ZJetsVSPT20 ->Write();
ZJetsVSPT30 ->Write();
ZJetsVSPT40 ->Write();
ZJetsVSPT50 ->Write();
ZJetsVSPT70 ->Write();
ZJetsVSPT100->Write();
TTbarVSPT0 ->Write();
TTbarVSPT20 ->Write();
TTbarVSPT30 ->Write();
TTbarVSPT40 ->Write();
TTbarVSPT50 ->Write();
TTbarVSPT70 ->Write();
TTbarVSPT100->Write();
DataQCDVSPT0 ->Write();
DataQCDVSPT20 ->Write();
DataQCDVSPT30 ->Write();
DataQCDVSPT40 ->Write();
DataQCDVSPT50 ->Write();
DataQCDVSPT70 ->Write();
DataQCDVSPT100->Write();
DataWVSPT0 ->Write();
DataWVSPT20 ->Write();
DataWVSPT30 ->Write();
DataWVSPT40 ->Write();
DataWVSPT50 ->Write();
DataWVSPT70 ->Write();
DataWVSPT100->Write();
DataZVSPT0 ->Write();
DataZVSPT20 ->Write();
DataZVSPT30 ->Write();
DataZVSPT40 ->Write();
DataZVSPT50 ->Write();
DataZVSPT70 ->Write();
DataZVSPT100->Write();
DataTopVSPT0 ->Write();
DataTopVSPT20 ->Write();
DataTopVSPT30 ->Write();
DataTopVSPT40 ->Write();
DataTopVSPT50 ->Write();
DataTopVSPT70 ->Write();
DataTopVSPT100->Write();
leg->Write();
file->Close();
cout << "File saved: " << file->GetName() << endl;
}示例12: main
//.........这里部分代码省略.........
xPos = xPosition;
yPos = yPosition;
if(Ehodo11>0.1){
nHodoClustersX=1;
hodoEff++;
} else{ nHodoClusters1X=0;}
if(Ehodo12>0.1){
nHodoClustersY=1;
hodoEff++;
} else{ nHodoClusters1Y=0; }
if(Escint1>0.25){
isSingleEle_scintFront_=1;
scintEff++;
} else{ isSingleEle_scintFront_=0;}
if(Ehodo>0.1){
nHodoClustersX=1; nHodoClustersY=1;
hodoEff++;
} else{ nHodoClustersX=0; nHodoClustersY=0;}
/*
if(Escint>0.25 && Escint< 1.5){
isSingleEle_scintFront_=1;
scintEff++;
} else{ isSingleEle_scintFront_=0;}
*/
E_abs= Eabs;
std::vector<float> cef3_corr;
for( int i=0; i<CEF3_CHANNELS; ++i ) cef3_corr.push_back(-1.);
std::vector<float> bgo_corr;
for( int i=0; i<BGO_CHANNELS; ++i ) bgo_corr.push_back(-1.);
/*
for(int i=0; i<10; ++i){
cef3_corr[0]= (LYSF[0]*Eact_0+LYSF[1]*Eact_1+LYSF[2]*Eact_2 +LYSF[3]*Eact_3 +LYSF[4]*Eact_4 +LYSF[5]*Eact_5 +LYSF[6]*Eact_6 +LYSF[7]*Eact_7 +LYSF[8]*Eact_8 +LYSF[9]*Eact_9)/4. ; //yes not very elegant, but it didn't want to work otherwise
// cef3_corr[0] = Eact /4.;
}
*/
for(int i=0; i<15; ++i){
cef3_corr[0]= (LYSFH[0]*Eact_0+LYSFH[1]*Eact_1+LYSFH[2]*Eact_2 +LYSFH[3]*Eact_3 +LYSFH[4]*Eact_4 +LYSFH[5]*Eact_5 +LYSFH[6]*Eact_6 +LYSFH[7]*Eact_7 +LYSFH[8]*Eact_8 +LYSFH[9]*Eact_9 +LYSFH[10]*Eact_10 +LYSFH[11]*Eact_11 +LYSFH[12]*Eact_12 +LYSFH[13]*Eact_13 +LYSFH[14]*Eact_14 )/4. ; //yes not very elegant, but it didn't want to work otherwise
// cef3_corr[0] = Eact /4.;
}
bgo_corr[0] = Ebgo/8.;
bgo_corr[1] = Ebgo/8.;
bgo_corr[2] = Ebgo/8.;
bgo_corr[3] = Ebgo/8.;
bgo_corr[4] = Ebgo/8.;
bgo_corr[5] = Ebgo/8.;
bgo_corr[6] = Ebgo/8.;
bgo_corr[7] = Ebgo/8.;
for(int k=0; k<CEF3_CHANNELS; ++k){
cef3_corr_[k] = cef3_corr[0];
}
for (int k=0; k<BGO_CHANNELS; ++k){
bgo_corr_[k] = bgo_corr[k];
}
outTree->Fill();
}
outfile->cd();
outTree->Write();
outfile->Close();
std::cout << "-> Simulated Analysis Tree saved in: " << outfile->GetName() << std::endl;
std::cout << "Scintillator efficiency = " << scintEff/nentries << std::endl;
std::cout << "Hodoscope efficiency = " << hodoEff/nentries << std::endl;
return 0;
}示例13: ZTMVAClassification
//.........这里部分代码省略.........
TMVA::Factory *factory = new TMVA::Factory( "TMVAClassification", outputFile,
"!V:!Silent:Color:DrawProgressBar:Transformations=I;D;P;G,D:AnalysisType=Classification" );
// ADD IN OUR VARIABLES HERE
factory->AddVariable("log(kaon_IPCHI2_OWNPV)", "log(kaon_IPCHI2_OWNPV)", "", 'D');
//factory->AddVariable("kaon_TRACK_GhostProb", "kaon_TRACK_GhostProb", "", 'D');
factory->AddVariable("kaon_PT", "kaon_PT", "", 'D');
factory->AddVariable("log(proton_IPCHI2_OWNPV)", "log(proton_IPCHI2_OWNPV)", "", 'D');
//factory->AddVariable("proton_TRACK_GhostProb", "proton_TRACK_GhostProb", "", 'D');
factory->AddVariable("proton_PT", "proton_PT", "", 'D');
//factory->AddVariable("gamma_PT", "gamma_PT", "", 'D');
//factory->AddVariable("gamma_CL", "gamma_CL", "", 'D');
factory->AddVariable("muminus_ProbNNmu", "muminus_ProbNNmu", "", 'D');
//factory->AddVariable("muminus_TRACK_GhostProb", "muminus_TRACK_GhostProb", "", 'D');
factory->AddVariable("muplus_ProbNNmu", "muplus_ProbNNmu", "", 'D');
//factory->AddVariable("muplus_TRACK_GhostProb", "muplus_TRACK_GhostProb", "", 'D');
factory->AddVariable("Lambda_b0_DTF_CHI2NDOF", "Lambda_b0_DTF_CHI2NDOF", "", 'D');
//factory->AddVariable("log(Lambda_b0_IPCHI2_OWNPV)", "log(Lambda_b0_IPCHI2_OWNPV)", "", 'D');
factory->AddVariable("Lambda_b0_FDS", "Lambda_b0_FDS", "", 'D');
factory->AddVariable("Lambda_b0_PT", "Lambda_b0_PT", "", 'D');
// TFile * input_Background = new TFile("../back.root");
TFile * input_Signal = new TFile("/afs/cern.ch/work/a/apmorris/public/Lb2chicpK/signal_samples/reduced_Lb2chicpK_MC_2011_2012_signal.root"); //
TFile * input_Background = new TFile("/afs/cern.ch/work/a/apmorris/public/Lb2chicpK/signal_samples/background.root"); //
std::cout << "--- TMVAClassification : Using input file for signal : " << input_Signal->GetName() << std::endl;
std::cout << "--- TMVAClassification : Using input file for background : " << input_Background->GetName() << std::endl;
// --- Register the training and test trees
TTree *signal = (TTree*)input_Signal->Get("DecayTree");
TTree *background = (TTree*)input_Background->Get("DecayTree");
// global event weights per tree (see below for setting event-wise weights)
Double_t signalWeight = 1.0;
Double_t backgroundWeight = 1.0;
// You can add an arbitrary number of signal or background trees
factory->AddSignalTree ( signal, signalWeight );
factory->AddBackgroundTree( background, backgroundWeight );
// Apply additional cuts on the signal and background samples (can be different)
TCut mycuts = ""; // for example: TCut mycuts = "abs(var1)<0.5 && abs(var2-0.5)<1";
TCut mycutb = ""; // for example: TCut mycutb = "abs(var1)<0.5";
factory->PrepareTrainingAndTestTree( mycuts, mycutb,
"nTrain_Signal=0:nTrain_Background=0:SplitMode=Random:NormMode=NumEvents:!V" );
// ---- Book MVA methods
//
// Please lookup the various method configuration options in the corresponding cxx files, eg:
// src/MethoCuts.cxx, etc, or here: http://tmva.sourceforge.net/optionRef.html
// it is possible to preset ranges in the option string in which the cut optimisation should be done:
// "...:CutRangeMin[2]=-1:CutRangeMax[2]=1"...", where [2] is the third input variable
// Cut optimisation示例14: TMVAClassification_ttV
//.........这里部分代码省略.........
// (TMVA::gConfig().GetVariablePlotting()).fTimesRMS = 8.0;
// (TMVA::gConfig().GetIONames()).fWeightFileDir = "myWeightDirectory";
// Define the input variables that shall be used for the MVA training
// note that you may also use variable expressions, such as: "3*var1/var2*abs(var3)"
// [all types of expressions that can also be parsed by TTree::Draw( "expression" )]
factory->AddVariable(" Mqq := Mqq", 'F');
factory->AddVariable(" Pt_qq := Pt_qq", 'F');
//factory->AddVariable( "myvar1 := var1+var2", 'F' );
//factory->AddVariable( "myvar2 := var1-var2", "Expression 2", "", 'F' );
//factory->AddVariable( "var3", "Variable 3", "units", 'F' );
//factory->AddVariable( "var4", "Variable 4", "units", 'F' );
//factory->AddVariable( "Mqq", 'F' );
//factory->AddVariable( "Pt_qq", 'F' );
// You can add so-called "Spectator variables", which are not used in the MVA training,
// but will appear in the final "TestTree" produced by TMVA. This TestTree will contain the
// input variables, the response values of all trained MVAs, and the spectator variables
//factory->AddSpectator( "spec1 := var1*2", "Spectator 1", "units", 'F' );
//factory->AddSpectator( "spec2 := var1*3", "Spectator 2", "units", 'F' );
// Read training and test data
// (it is also possible to use ASCII format as input -> see TMVA Users Guide)
//Change the input files
/*
TString fname = "./tmva_class_example.root";
if (gSystem->AccessPathName( fname )) // file does not exist in local directory
gSystem->Exec("wget http://root.cern.ch/files/tmva_class_example.root");
TFile *input = TFile::Open( fname );
std::cout << "--- TMVAClassification : Using input file: " << input->GetName() << std::endl;
// --- Register the training and test trees
TTree *signal = (TTree*)input->Get("TreeS");
TTree *background = (TTree*)input->Get("TreeB");
*/
VCandStruct vcand;
AsymetryStruct asym;
//TFile* fsignal = TFile::Open("/opt/sbg/data/data1/cms/echabert/ttbarMET/ProdAlexMars13/CMSSW_5_3_2_patch4/src/NTuple/NTupleAnalysis/macros/TTbarMET/backup_outputProof08-04-13_18-01-24/proof_ttW.root");
TFile* fsignal = TFile::Open("/opt/sbg/data/data1/cms/echabert/ttbarMET/ProdAlexMars13/CMSSW_5_3_2_patch4/src/NTuple/NTupleAnalysis/macros/TTbarMET/backup_outputProof10-04-13_16-00-57/proof_ttW.root");
TTree *signal = (TTree*)fsignal->Get("theTree2");
//TTree *signal_orig = (TTree*)fsignal->Get("theTree2");
//TTree *signal = signal_orig->CloneTree(0);
//signal->SetDirectory(0);
TFile* fbackground = TFile::Open("/opt/sbg/data/data1/cms/echabert/ttbarMET/ProdAlexMars13/CMSSW_5_3_2_patch4/src/NTuple/NTupleAnalysis/macros/TTbarMET/backup_outputProof10-04-13_16-00-57/proof_tt-dilepton.root");
TTree *background = (TTree*)fbackground->Get("theTree2");
//TTree *background_orig = (TTree*)fbackground->Get("theTree");
//TTree *background = background_orig->CloneTree(0);
//background->SetDirectory(0);
// global event weights per tree (see below for setting event-wise weights)
Double_t signalWeight = 0.30*20/185338;
Double_t backgroundWeight = 222.*0.1*20/9982625;
// You can add an arbitrary number of signal or background trees
//Commented by Eric
factory->AddSignalTree ( signal, signalWeight );
factory->AddBackgroundTree( background, backgroundWeight );
// To give different trees for training and testing, do as follows:
//factory->AddSignalTree( signalTrainingTree, signalTrainWeight, "Training" );示例15: MergeRootfile
void MergeRootfile( TDirectory *target, TList *sourcelist, double crossArray[] ) {
cout << "Target path: " << target->GetPath() << endl;
TString path( (char*)strstr( target->GetPath(), ":" ) );
path.Remove( 0, 2 );
TFile *first_source = (TFile*)sourcelist->First();
first_source->cd( path );
TDirectory *current_sourcedir = gDirectory;
//gain time, do not add the objects in the list in memory
Bool_t status = TH1::AddDirectoryStatus();
TH1::AddDirectory(kFALSE);
// loop over all keys in this directory
TChain *globChain = 0;
TIter nextkey( current_sourcedir->GetListOfKeys() );
TKey *key, *oldkey=0;
while ( (key = (TKey*)nextkey())) {
//keep only the highest cycle number for each key
if (oldkey && !strcmp(oldkey->GetName(),key->GetName())) continue;
// read object from first source file
first_source->cd( path );
TObject *obj = key->ReadObj();
if ( obj->IsA()->InheritsFrom( "TH1" ) ) {
// descendant of TH1 -> merge it
cout << "Merging histogram " << obj->GetName() << endl;
TH1 *h1 = (TH1*)obj;
// Scale by the cross-section factor
h1->Scale(crossArray[0]);
h1->Sumw2();
// loop over all source files and add the content of the
// correspondant histogram to the one pointed to by "h1"
TFile *nextsource = (TFile*)sourcelist->After( first_source );
int q = 1; // This keeps track of which
// cross section factor to use
while ( nextsource ) {
// make sure we are at the correct directory level by cd'ing to path
nextsource->cd( path );
TKey *key2 = (TKey*)gDirectory->GetListOfKeys()->FindObject(h1->GetName());
if (key2) {
TH1 *h2 = (TH1*)key2->ReadObj();
// Scale by the cross section factor
// before adding.
h2->Scale(crossArray[q]);
h1->Add( h2 );
q++;
delete h2;
}
nextsource = (TFile*)sourcelist->After( nextsource );
}
}
else if ( obj->IsA()->InheritsFrom( "TTree" ) ) {
// loop over all source files create a chain of Trees "globChain"
const char* obj_name= obj->GetName();
globChain = new TChain(obj_name);
globChain->Add(first_source->GetName());
TFile *nextsource = (TFile*)sourcelist->After( first_source );
// const char* file_name = nextsource->GetName();
// cout << "file name " << file_name << endl;
while ( nextsource ) {
globChain->Add(nextsource->GetName());
nextsource = (TFile*)sourcelist->After( nextsource );
}
} else if ( obj->IsA()->InheritsFrom( "TDirectory" ) ) {
// it's a subdirectory
cout << "Found subdirectory " << obj->GetName() << endl;
// create a new subdir of same name and title in the target file
target->cd();
TDirectory *newdir = target->mkdir( obj->GetName(), obj->GetTitle() );
// newdir is now the starting point of another round of merging
// newdir still knows its depth within the target file via
// GetPath(), so we can still figure out where we are in the recursion
MergeRootfile( newdir, sourcelist, crossArray );
} else {
// object is of no type that we know or can handle
cout << "Unknown object type, name: "
<< obj->GetName() << " title: " << obj->GetTitle() << endl;
}
// now write the merged histogram (which is "in" obj) to the target file
// note that this will just store obj in the current directory level,
//.........这里部分代码省略.........