void mtlrchApp::AddFiles (TFileList* files)
{
// Open all files dragged in.
TFileListIter fileIter(*files);
while (fileIter) {
TDocTemplate* tpl = GetDocManager()->MatchTemplate(fileIter.Current()->WhoAmI());
if (tpl)
tpl->CreateDoc(fileIter.Current()->WhoAmI());
fileIter++;
}
}
bool
ProjectPackager::rmdirRecursive(QString dirName)
{
QDir dir(dirName);
// If the directory is already gone, bail.
if (!dir.exists())
return true;
bool success = true;
// *** Delete all the files
QDirIterator fileIter(dir.path(), QDir::Files | QDir::Hidden,
QDirIterator::Subdirectories);
while (fileIter.hasNext()) {
// Create a temp to avoid calling next() twice if we want debug
// output.
QString currentFile = fileIter.next();
//qDebug() << "rm" << currentFile;
// Remove the file
if (!QFile::remove(currentFile)) {
success = false;
}
}
// *** Delete the empty directories
// QDirIterator iterates through the directory tree in reverse order
// from that required to properly remove the directories recursively;
// it iterates from root to leaf. So we need to do this in two steps.
// First, gather the directories into a vector, then go through the
// vector in reverse (from leaf to root) and remove them.
// It might be better to implement our own recursion so that we can
// guarantee that it will always be from leaf to root. Otherwise a
// change to the algorithm in QDirIterator could render this code
// useless.
// Iterate through the directories recursively and collect the names
// into a vector.
QDirIterator dirIter(dir.path(), QDir::Dirs | QDir::NoDotAndDotDot,
QDirIterator::Subdirectories);
typedef std::vector<QString> QStringVector;
QStringVector v;
v.push_back(dirName);
while (dirIter.hasNext()) {
// Create a temp to avoid calling next() twice if we want debug
// output.
QString currentDir = dirIter.next();
//qDebug() << "push_back" << currentDir;
v.push_back(currentDir);
}
// Have to move back one as rmdir() is relative to QDir's directory.
dir.cdUp();
// Now go through the directories in reverse and remove them...
for (QStringVector::const_reverse_iterator I = v.rbegin();
I != v.rend();
++I) {
//qDebug() << "rmdir" << *I;
if (!dir.rmdir(*I)) {
success = false;
}
}
return success;
}
//
// Functions
//
int looper( sampleInfo::ID sampleID, std::vector<analyzer*> analyzers, int nEvents, bool readFast ) {
//
// Intro
//
cout << "====================================================" << endl;
cout << endl;
cout << " WELCOME TO STOP BABY ANALYZER! " << endl;
cout << endl;
cout << "====================================================" << endl;
cout << endl;
//
// Benchmark
//
TBenchmark *bmark = new TBenchmark();
bmark->Start("benchmark");
//
// Input SampleInfo
//
sampleInfo::sampleUtil sample( sampleID );
bool sampleIsTTbar = false;
if( sample.id == sampleInfo::k_ttbar_powheg_pythia8 ||
sample.id == sampleInfo::k_ttbar_powheg_pythia8_ext4 ||
sample.id == sampleInfo::k_ttbar_singleLeptFromT_madgraph_pythia8 ||
sample.id == sampleInfo::k_ttbar_singleLeptFromT_madgraph_pythia8_ext1 ||
sample.id == sampleInfo::k_ttbar_singleLeptFromTbar_madgraph_pythia8 ||
sample.id == sampleInfo::k_ttbar_singleLeptFromTbar_madgraph_pythia8_ext1 ||
sample.id == sampleInfo::k_ttbar_diLept_madgraph_pythia8 ||
sample.id == sampleInfo::k_ttbar_diLept_madgraph_pythia8_ext1 ) {
sampleIsTTbar = true;
}
//
// Input chain
//
TChain *chain = new TChain("t");
cout << " Processing the following: " << endl;
for(int iFile=0; iFile<(int)sample.inputBabies.size(); iFile++) {
// input directory
string input = sample.baby_i_o.first;
// input file
input += sample.inputBabies[iFile];
chain->Add( input.c_str() );
cout << " " << input << endl;
}
cout << endl;
//
// Output File
//
// output dir
string f_output_name = "";
f_output_name += sample.baby_i_o.second;
// output name
f_output_name += sample.label;
f_output_name += ".root";
// output file
TFile *f_output = new TFile( f_output_name.c_str(), "recreate" );
// print output location
cout << " Output Written to: " << endl;
cout << " " << f_output_name << endl;
cout << endl;
//
// JSON File Tools
//
const char* json_file = "../StopCORE/inputs/json_files/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt"; // 35.876fb final 2016 run
if( sample.isData ) set_goodrun_file_json(json_file);
//
// Event Weight Utilities
//
cout << " Loading eventWeight Utilities..." << endl << endl;
wgtInfo.setUp( sample.id, useBTagSFs_fromFiles_, useLepSFs_fromFiles_, add2ndLepToMet_ );
wgtInfo.apply_cr2lTrigger_sf = (apply_cr2lTrigger_sf_ && add2ndLepToMet_);
wgtInfo.apply_bTag_sf = apply_bTag_sf_;
wgtInfo.apply_lep_sf = apply_lep_sf_;
wgtInfo.apply_vetoLep_sf = apply_vetoLep_sf_;
wgtInfo.apply_tau_sf = apply_tau_sf_;
wgtInfo.apply_lepFS_sf = apply_lepFS_sf_;
wgtInfo.apply_topPt_sf = apply_topPt_sf_;
wgtInfo.apply_metRes_sf = apply_metRes_sf_;
wgtInfo.apply_metTTbar_sf = apply_metTTbar_sf_;
wgtInfo.apply_ttbarSysPt_sf = apply_ttbarSysPt_sf_;
wgtInfo.apply_ISR_sf = apply_ISR_sf_;
wgtInfo.apply_pu_sf = apply_pu_sf_;
wgtInfo.apply_sample_sf = apply_sample_sf_;
//
// Declare genClassification list
//
cout << " Loading genClassyList: ";
std::vector< genClassyInfo::Util > genClassyList;
if( sample.isData ) {
genClassyList.push_back(genClassyInfo::Util(genClassyInfo::k_incl));
}
else{
for(int iGenClassy=0; iGenClassy<genClassyInfo::k_nGenClassy; iGenClassy++) {
genClassyList.push_back( genClassyInfo::Util(genClassyInfo::ID(iGenClassy)) );
}
}
const int nGenClassy=(int)genClassyList.size();
cout << nGenClassy << " genClassifications" << endl << endl;
//
// Declare Systematics
//
cout << " Loading systematicList: ";
std::vector< sysInfo::Util > systematicList;
if( sample.isData || analyzeFast_ ) {
systematicList.push_back(sysInfo::Util(sysInfo::k_nominal));
}
else{
for(int iSys=0; iSys<sysInfo::k_nSys; iSys++) {
systematicList.push_back( sysInfo::Util(sysInfo::ID(iSys)) );
}
}
const int nSystematics = (int)systematicList.size();
cout << nSystematics << " systematics" << endl << endl;
// Count number of analyzers in the list
const int nAnalyzers = analyzers.size();
////////////////////////
// //
// Declare Histograms //
// //
////////////////////////
//
//
// For Using DownStream Scripts, please adhere to the conventions:
//
//
// histogram_name = "your_name_here"+"__"+regionList[i]+"__genClassy_"+genClassyObject.label+"__systematic_"+sysInfoObject.label;
//
//
// Where regionList is the list of "SR", "CR0b", "CR0b_tightBTagHighMlb" or "CR2l"
//
// And systematicList[0] is the nominal selection
//
// And if there is andditional selection involved in this histogram, please refer to it in "you name here"
//
cout << " Preparing histograms" << endl << endl;
//
// Declare yield histograms
//
f_output->cd(); // All yield histos will belong to the output file
for( analyzer* thisAnalyzer : analyzers ) {
TH1D* h_template = thisAnalyzer->GetYieldTemplate();
TH3D* h_template_signal = thisAnalyzer->GetYieldTemplateSignal();
for( int iClassy=0; iClassy<nGenClassy; iClassy++ ) {
for( int iSys=0; iSys<nSystematics; iSys++ ) {
int histIndex = iClassy*nSystematics + iSys;
// Gen and Systematic String
TString reg_gen_sys_name = "__";
reg_gen_sys_name += thisAnalyzer->GetLabel();
reg_gen_sys_name += "__genClassy_";
reg_gen_sys_name += genClassyList[iClassy].label;
reg_gen_sys_name += "__systematic_";
reg_gen_sys_name += systematicList[iSys].label;
TH1* h_tmp = 0;
TString yieldname = "h_yields";
yieldname += reg_gen_sys_name;
if( sample.isSignalScan ) h_tmp = (TH3D*)h_template_signal->Clone( yieldname );
else h_tmp = (TH1D*)h_template->Clone( yieldname );
thisAnalyzer->SetYieldHistogram( histIndex, h_tmp );
} // End loop over systematics
} // End loop over genClassys
} // End loop over analyzers
//
// Declare non-yield histograms
//
int nMassPts = 1;
if( sample.isSignalScan ) nMassPts = (int)sample.massPtList.size();
const int nHistosVars = nAnalyzers*nGenClassy*nMassPts;
// nJets
TH1D *h_nJets[nHistosVars];
// nBTags
TH1D *h_nBTags[nHistosVars];
// lep1 pT
TH1D *h_lep1Pt_incl[nHistosVars];
// lep2 pT
TH1D *h_lep2Pt_incl[nHistosVars];
// jet pT
TH1D *h_jetPt_incl[nHistosVars];
// jet1 pT
TH1D *h_jet1Pt_incl[nHistosVars];
// jet2 pT
TH1D *h_jet2Pt_incl[nHistosVars];
// DeepCSV jet1 pT
TH1D *h_deepcsvJet1Pt_incl[nHistosVars];
// DeepCSV jet2 pT
TH1D *h_deepcsvJet2Pt_incl[nHistosVars];
// met
TH1D *h_met_incl[nHistosVars];
TH1D *h_met_lt4j[nHistosVars];
TH1D *h_met_ge4j[nHistosVars];
// lep1lep2bbMetPt
TH1D *h_lep1lep2bbMetPt_incl[nHistosVars];
TH1D *h_lep1lep2bbMetPt_lt4j[nHistosVars];
TH1D *h_lep1lep2bbMetPt_ge4j[nHistosVars];
// mt
TH1D *h_mt_incl[nHistosVars];
// modTopness
TH1D *h_modTopness_incl[nHistosVars];
TH1D *h_modTopness_lt4j[nHistosVars];
TH1D *h_modTopness_ge4j[nHistosVars];
// mlb
TH1D *h_mlb_incl[nHistosVars];
TH1D *h_mlb_lt4j[nHistosVars];
TH1D *h_mlb_ge4j[nHistosVars];
// mlb
TH1D *h_mlb_lt0modTopness[nHistosVars];
TH1D *h_mlb_ge0modTopness[nHistosVars];
TH1D *h_mlb_ge10modTopness[nHistosVars];
// mlb, met sideband CR
TH1D *h_mlb_150to250met_incl[nHistosVars];
TH1D *h_mlb_150to250met_lt4j[nHistosVars];
TH1D *h_mlb_150to250met_ge4j[nHistosVars];
// ml2b
TH1D *h_mlb_lep2_incl[nHistosVars];
TH1D *h_mlb_lep2_lt4j[nHistosVars];
TH1D *h_mlb_lep2_ge4j[nHistosVars];
// ml2b
TH1D *h_mlb_lep2_150to250met_incl[nHistosVars];
TH1D *h_mlb_lep2_150to250met_lt4j[nHistosVars];
TH1D *h_mlb_lep2_150to250met_ge4j[nHistosVars];
// Gen ttbar system pT
TH1D *h_gen_ttbarPt_incl[nHistosVars];
TH1D *h_gen_ttbarPt_lt4j[nHistosVars];
TH1D *h_gen_ttbarPt_ge4j[nHistosVars];
// Gen 2nd lepton ID
TH1D *h_gen_lep2_id_incl[nHistosVars];
TH1D *h_gen_lep2_id_lt4j[nHistosVars];
TH1D *h_gen_lep2_id_ge4j[nHistosVars];
f_output->cd(); // All non-yield histos will belong to the output file
for(int iReg=0; iReg<nAnalyzers; iReg++) {
for(int iGen=0; iGen<nGenClassy; iGen++) {
for(int iMassPt=0; iMassPt<nMassPts; iMassPt++) {
// Histo Index
int iHisto = iReg*nGenClassy*nMassPts + iGen*nMassPts + iMassPt;
int mStop = 0;
int mLSP = 0;
if(sample.isSignalScan) {
mStop = sample.massPtList[iMassPt].first;
mLSP = sample.massPtList[iMassPt].second;
}
TString hName = "";
TString reg_gen_sys_name = "__";
reg_gen_sys_name += analyzers.at(iReg)->GetLabel();
reg_gen_sys_name += "__genClassy_";
reg_gen_sys_name += genClassyList[iGen].label;
reg_gen_sys_name += "__systematic_";
reg_gen_sys_name += systematicList[0].label;
if( sample.isSignalScan ) {
reg_gen_sys_name += "__mStop_";
reg_gen_sys_name += mStop;
reg_gen_sys_name += "__mLSP_";
reg_gen_sys_name += mLSP;
}
//
// Njets
//
hName = "h_nJets" + reg_gen_sys_name;
h_nJets[iHisto] = new TH1D( hName, "Number of Selected Jets;nJets", 11, -0.5, 10.5);
//
// nBTags
//
hName = "h_nBTags" + reg_gen_sys_name;
h_nBTags[iHisto] = new TH1D( hName, "Number of b-Tagged Jets;nBTags", 5, -0.5, 4.5);
//
// lep1Pt
//
// Incl Selection
hName = "h_lep1Pt__inclSelection" + reg_gen_sys_name;
h_lep1Pt_incl[iHisto] = new TH1D( hName, "Lepton p_{T};p_{T} [GeV]", 20.0, 0.0, 200.0 );
//
// lep2Pt
//
// Incl Selection
hName = "h_lep2Pt__inclSelection" + reg_gen_sys_name;
h_lep2Pt_incl[iHisto] = new TH1D( hName, "Trailing Lepton p_{T};p_{T} [GeV]", 20.0, 0.0, 200.0 );
//
// jetPt
//
// Incl Selection
hName = "h_jetPt__inclSelection" + reg_gen_sys_name;
h_jetPt_incl[iHisto] = new TH1D( hName, "Jet p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// jet1Pt
//
// Incl Selection
hName = "h_jet1Pt__inclSelection" + reg_gen_sys_name;
h_jet1Pt_incl[iHisto] = new TH1D( hName, "Leading Jet p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// jet2Pt
//
// Incl Selection
hName = "h_jet2Pt__inclSelection" + reg_gen_sys_name;
h_jet2Pt_incl[iHisto] = new TH1D( hName, "2nd Leading Jet p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// DeepCSVJet1Pt
//
// Incl Selection
hName = "h_deepcsvJet1Pt__inclSelection" + reg_gen_sys_name;
h_deepcsvJet1Pt_incl[iHisto] = new TH1D( hName, "Leading DeepCSV Jet p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// DeepCSVJet2Pt
//
// Incl Selection
hName = "h_deepcsvJet2Pt__inclSelection" + reg_gen_sys_name;
h_deepcsvJet2Pt_incl[iHisto] = new TH1D( hName, "2nd Leading DeepCSV Jet p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// met
//
// Incl Selection
hName = "h_met__inclSelection" + reg_gen_sys_name;
h_met_incl[iHisto] = new TH1D( hName, "MET;MET [GeV]", 32, 0.0, 800.0 );
// <4j Selection
hName = "h_met__lt4jSelection" + reg_gen_sys_name;
h_met_lt4j[iHisto] = new TH1D( hName, "MET;MET [GeV]", 32, 0.0, 800.0 );
// >=4j Selection
hName = "h_met__ge4jSelection" + reg_gen_sys_name;
h_met_ge4j[iHisto] = new TH1D( hName, "MET;MET [GeV]", 32, 0.0, 800.0 );
//
// lep1lep2bbMetPt
//
// Incl Selection
hName = "h_lep1lep2bbMetPt__inclSelection" + reg_gen_sys_name;
h_lep1lep2bbMetPt_incl[iHisto] = new TH1D( hName, "lep1(lep2)bbMet system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_lep1lep2bbMetPt__lt4jSelection" + reg_gen_sys_name;
h_lep1lep2bbMetPt_lt4j[iHisto] = new TH1D( hName, "lep1(lep2)bbMet system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_lep1lep2bbMetPt__ge4jSelection" + reg_gen_sys_name;
h_lep1lep2bbMetPt_ge4j[iHisto] = new TH1D( hName, "lep1(lep2)bbMet system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// mt
//
// Incl Selection
hName = "h_mt__inclSelection" + reg_gen_sys_name;
h_mt_incl[iHisto] = new TH1D( hName, "M_{T};M_{T} [GeV]", 24, 0.0, 600.0 );
//
// modTopness
//
// Incl Selection
hName = "h_modTopness__inclSelection" + reg_gen_sys_name;
h_modTopness_incl[iHisto] = new TH1D( hName, "Modified Topness;Modified Topness", 20, -20.0, 20.0 );
// <4j Selection
hName = "h_modTopness__lt4jSelection" + reg_gen_sys_name;
h_modTopness_lt4j[iHisto] = new TH1D( hName, "Modified Topness;Modified Topness", 20, -20.0, 20.0 );
// >=4j Selection
hName = "h_modTopness__ge4jSelection" + reg_gen_sys_name;
h_modTopness_ge4j[iHisto] = new TH1D( hName, "Modified Topness;Modified Topness", 20, -20.0, 20.0 );
//
// mlb
//
// Incl Selection
hName = "h_mlb__inclSelection" + reg_gen_sys_name;
h_mlb_incl[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_mlb__lt4jSelection" + reg_gen_sys_name;
h_mlb_lt4j[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_mlb__ge4jSelection" + reg_gen_sys_name;
h_mlb_ge4j[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
//
// mlb, inclusive nJets, modTopness bins
//
// <0 modTopness Selection
hName = "h_mlb__lt0modTopnessSelection" + reg_gen_sys_name;
h_mlb_lt0modTopness[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// >=0 modTopness Selection
hName = "h_mlb__ge0modTopnessSelection" + reg_gen_sys_name;
h_mlb_ge0modTopness[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// >=10 modTopness Selection
hName = "h_mlb__ge10modTopnessSelection" + reg_gen_sys_name;
h_mlb_ge10modTopness[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
//
// mlb, met sideband CR
//
// Incl Selection
hName = "h_mlb_150to250met__inclSelection" + reg_gen_sys_name;
h_mlb_150to250met_incl[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_mlb_150to250met__lt4jSelection" + reg_gen_sys_name;
h_mlb_150to250met_lt4j[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_mlb_150to250met__ge4jSelection" + reg_gen_sys_name;
h_mlb_150to250met_ge4j[iHisto] = new TH1D( hName, "M_{lb};M_{lb} [GeV]", 24, 0.0, 600.0 );
//
// mlb_lep2
//
// Incl Selection
hName = "h_mlb_lep2__inclSelection" + reg_gen_sys_name;
h_mlb_lep2_incl[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_mlb_lep2__lt4jSelection" + reg_gen_sys_name;
h_mlb_lep2_lt4j[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_mlb_lep2__ge4jSelection" + reg_gen_sys_name;
h_mlb_lep2_ge4j[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
//
// mlb_lep2, met CR sideband
//
// Incl Selection
hName = "h_mlb_lep2_150to250met__inclSelection" + reg_gen_sys_name;
h_mlb_lep2_150to250met_incl[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_mlb_lep2_150to250met__lt4jSelection" + reg_gen_sys_name;
h_mlb_lep2_150to250met_lt4j[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_mlb_lep2_150to250met__ge4jSelection" + reg_gen_sys_name;
h_mlb_lep2_150to250met_ge4j[iHisto] = new TH1D( hName, "M_{l2b};M_{l2b} [GeV]", 24, 0.0, 600.0 );
//
// Gen ttbar pT
//
if( !sample.isData ) {
// Incl Selection
hName = "h_gen_ttbarPt__inclSelection" + reg_gen_sys_name;
h_gen_ttbarPt_incl[iHisto] = new TH1D( hName, "Gen t#bar{t} system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
// <4j Selection
hName = "h_gen_ttbarPt__lt4jSelection" + reg_gen_sys_name;
h_gen_ttbarPt_lt4j[iHisto] = new TH1D( hName, "Gen t#bar{t} system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
// >=4j Selection
hName = "h_gen_ttbarPt__ge4jSelection" + reg_gen_sys_name;
h_gen_ttbarPt_ge4j[iHisto] = new TH1D( hName, "Gen t#bar{t} system p_{T};p_{T} [GeV]", 24, 0.0, 600.0 );
//
// Gen Lep2 ID
//
// Incl Selection
hName = "h_gen_lep2_id__inclSelection" + reg_gen_sys_name;
h_gen_lep2_id_incl[iHisto] = new TH1D( hName, "Gen 2nd Lepton ID;ID", 7, 1.0, 8.0 );
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(1, "ele");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(2, "mu");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(3, "lep tau, ele");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(4, "lep tau, mu");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(5, "had tau, 1 prong");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(6, "had tau, 3 prong");
h_gen_lep2_id_incl[iHisto]->GetXaxis()->SetBinLabel(7, "\"other\" tau");
// <4j Selection
hName = "h_gen_lep2_id__lt4jSelection" + reg_gen_sys_name;
h_gen_lep2_id_lt4j[iHisto] = new TH1D( hName, "Gen 2nd Lepton ID;ID", 7, 1.0, 8.0 );
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(1, "ele");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(2, "mu");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(3, "lep tau, ele");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(4, "lep tau, mu");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(5, "had tau, 1 prong");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(6, "had tau, 3 prong");
h_gen_lep2_id_lt4j[iHisto]->GetXaxis()->SetBinLabel(7, "\"other\" tau");
// >=4j Selection
hName = "h_gen_lep2_id__ge4jSelection" + reg_gen_sys_name;
h_gen_lep2_id_ge4j[iHisto] = new TH1D( hName, "Gen 2nd Lepton ID;ID", 7, 1.0, 8.0 );
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(1, "ele");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(2, "mu");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(3, "lep tau, ele");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(4, "lep tau, mu");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(5, "had tau, 1 prong");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(6, "had tau, 3 prong");
h_gen_lep2_id_ge4j[iHisto]->GetXaxis()->SetBinLabel(7, "\"other\" tau");
} // end if sample is ttbar
} // end loop over mass pts (1 pt only if not signal scan)
} // end loop over genClassifications for histogram arrays
} // end loop over analyzers/regions for histogram arrays
// Set up cutflow histograms
TH1D* h_cutflow[nAnalyzers];
for( int iAna=0; iAna<nAnalyzers; iAna++ ) {
analyzer* thisAnalyzer = analyzers.at(iAna);
std::string histName = "h_cutflow_";
std::string histTitle = "Cutflow histogram ";
histName += thisAnalyzer->GetLabel();
histTitle += thisAnalyzer->GetLabel();
h_cutflow[iAna] = selectionInfo::get_cutflowHistoTemplate( thisAnalyzer->GetSelections(), histName, histTitle );
}
//////////////////////
// //
// Loop Over Events //
// //
//////////////////////
// Event Counters
cout << " Loading files to loop over" << endl << endl;
unsigned int nEventsTotal = 0;
unsigned int nEventsChain = chain->GetEntries();
if( nEvents >= 0 ) nEventsChain = nEvents;
// Grab list of files
TObjArray *listOfFiles = chain->GetListOfFiles();
TIter fileIter(listOfFiles);
TFile *currentFile = 0;
while ( (currentFile = (TFile*)fileIter.Next()) ) {
//////////////////////
// //
// Get File Content //
// //
//////////////////////
// Open File and Get Tree
TFile *file = new TFile( currentFile->GetTitle(), "read" );
TTree *tree = (TTree*)file->Get("t");
if(readFast) TTreeCache::SetLearnEntries(10);
if(readFast) tree->SetCacheSize(128*1024*1024);
babyAnalyzer.Init(tree);
// Get weight histogram from baby
wgtInfo.getWeightHistogramFromBaby( file );
// Loop over Events in current file
if( nEventsTotal >= nEventsChain ) continue;
unsigned int nEventsTree = tree->GetEntriesFast();
for( unsigned int event = 0; event < nEventsTree; ++event) {
///////////////////////
// //
// Get Event Content //
// //
///////////////////////
// Read Tree
if( nEventsTotal >= nEventsChain ) continue;
if(readFast) tree->LoadTree(event);
babyAnalyzer.GetEntry(event);
++nEventsTotal;
// Progress
stop_1l_babyAnalyzer::progress( nEventsTotal, nEventsChain );
/////////////////////
// //
// Check Selection //
// //
/////////////////////
// Check JSON
if( sample.isData && applyjson ) {
if( !goodrun(run(),ls()) ) continue;
}
// Check duplicate event
if( sample.isData ) {
duplicate_removal::DorkyEventIdentifier id(run(), evt(), ls());
if( is_duplicate(id) ) continue;
}
// Check WNJets genPt
if( sample.id == sampleInfo::k_W1JetsToLNu_madgraph_pythia8 ||
sample.id == sampleInfo::k_W2JetsToLNu_madgraph_pythia8 ||
sample.id == sampleInfo::k_W3JetsToLNu_madgraph_pythia8 ||
sample.id == sampleInfo::k_W4JetsToLNu_madgraph_pythia8 ) {
if( nupt()>200.0 ) continue;
}
// Pre-calculate all the event weights
wgtInfo.getEventWeights();
/////////////////////////////
// //
// Compute Event Variables //
// //
/////////////////////////////
// Find the gen pT of the ttbar system
double ttbarPt = -99.9;
LorentzVector genTTbar_LV;
int nFoundGenTop=0;
if( sampleIsTTbar ) {
for(int iGen=0; iGen<(int)genqs_p4().size(); iGen++) {
if( abs(genqs_id().at(iGen))==6 && genqs_isLastCopy().at(iGen) ) {
genTTbar_LV += genqs_p4().at(iGen);
nFoundGenTop++;
} // end if last copy of top
} // end loop over gen quarks
if( nFoundGenTop == 2 ) ttbarPt = genTTbar_LV.Pt();
} // end if sample is ttbar
// Find the gen ID of the 2nd lepton
double matched_lep_dr = 0.1;
int gen2ndLep__idx = -1;
int gen2ndLep__id = -99;
int gen2ndLep__tauDecay = -1;
int fill_bin_genLep2ID = -1;
if( !sample.isData && is2lep() ) {
// match leading lepton first
int genLep_matchedTo_selLep__idx = -1;
for(int iGen=0; iGen<(int)genleps_p4().size(); iGen++) {
if( abs(genleps_id().at(iGen)) != abs(lep1_pdgid()) ) continue;
if( !genleps_isLastCopy().at(iGen) ) continue;
if( !genleps_fromHardProcessFinalState().at(iGen) &&
!genleps_fromHardProcessDecayed().at(iGen) ) continue;
if( ROOT::Math::VectorUtil::DeltaR(genleps_p4().at(iGen), lep1_p4()) < matched_lep_dr ) {
genLep_matchedTo_selLep__idx = iGen;
break;
}
}
// If matched selected lepton, find lost gen lepton
if( genLep_matchedTo_selLep__idx>0 ) {
for(int iGen=0; iGen<(int)genleps_p4().size(); iGen++) {
if( iGen == genLep_matchedTo_selLep__idx ) continue;
if( !genleps_isLastCopy().at(iGen) ) continue;
if( !genleps_fromHardProcessFinalState().at(iGen) &&
!genleps_fromHardProcessDecayed().at(iGen) ) continue;
gen2ndLep__idx = iGen;
gen2ndLep__id = genleps_id().at(iGen);
gen2ndLep__tauDecay = genleps_gentaudecay().at(iGen);
}
// If found second lep
if( gen2ndLep__idx>=0 ) {
if( abs(gen2ndLep__id)==11 ) fill_bin_genLep2ID = 1; // "ele";
if( abs(gen2ndLep__id)==13 ) fill_bin_genLep2ID = 2; // "mu";
if( abs(gen2ndLep__id)==15 ) {
if( gen2ndLep__tauDecay==1 ) fill_bin_genLep2ID = 3; // "lep tau, ele";
if( gen2ndLep__tauDecay==2 ) fill_bin_genLep2ID = 4; // "lep tau, mu";
if( gen2ndLep__tauDecay==3 ) fill_bin_genLep2ID = 5; // "had tau, 1 prong";
if( gen2ndLep__tauDecay==4 ) fill_bin_genLep2ID = 6; // "had tau, 3 prong";
if( gen2ndLep__tauDecay==5 ) fill_bin_genLep2ID = 7; // "\"other\" tau";
} // end if 2nd lep is tau
} // end if found 2nd gen lep
} // end if found first gen lep, matched to selected lepton
} // end if 2lep event and not data
// Calculate p4 of (lep1 lep2 b b) system
LorentzVector lep1lep2bb_TLV(0.0,0.0,0.0,0.0);
LorentzVector lep1lep2bbMet_TLV(0.0,0.0,0.0,0.0);
double lep1lep2bbMet_pt = -99.9;
lep1lep2bb_TLV += lep1_p4();
if(nvetoleps()>1) lep1lep2bb_TLV += lep2_p4();
int jet1_idx = -1;
double max_deepcsv = -99.9;
for(int iJet=0; iJet<(int)ak4pfjets_p4().size(); iJet++) {
if( ak4pfjets_deepCSV().at(iJet) > max_deepcsv ) {
jet1_idx = iJet;
max_deepcsv = ak4pfjets_deepCSV().at(iJet);
}
}
if(jet1_idx>=0) lep1lep2bb_TLV += ak4pfjets_p4().at(jet1_idx);
int jet2_idx = -1;
max_deepcsv = -99.9;
for(int iJet=0; iJet<(int)ak4pfjets_p4().size(); iJet++) {
if( iJet==jet1_idx ) continue;
if( ak4pfjets_deepCSV().at(iJet) > max_deepcsv ) {
jet2_idx = iJet;
max_deepcsv = ak4pfjets_deepCSV().at(iJet);
}
}
if(jet2_idx>=0) lep1lep2bb_TLV += ak4pfjets_p4().at(jet2_idx);
// Calculate p4 of (lep1 lep2 b b MET) system
lep1lep2bbMet_TLV = lep1lep2bb_TLV;
LorentzVector met_TLV( pfmet()*cos(pfmet_phi()), pfmet()*sin(pfmet_phi()), 0.0, pfmet() );
lep1lep2bbMet_TLV += met_TLV;
lep1lep2bbMet_pt = lep1lep2bbMet_TLV.Pt();
// Calculate mlb using lep2 instead of lep1
LorentzVector lep2b_TLV(0.0,0.0,0.0,0.0);
double minDr = 99.9;
int minBJetIdx = -99;
if(nvetoleps()>1) {
lep2b_TLV += lep2_p4();
for(int iJet=0; iJet<(int)ak4pfjets_p4().size(); iJet++) {
if(!ak4pfjets_passMEDbtag().at(iJet)) continue;
if(ROOT::Math::VectorUtil::DeltaR(ak4pfjets_p4().at(iJet),lep2_p4())<minDr) {
minDr = ROOT::Math::VectorUtil::DeltaR(ak4pfjets_p4().at(iJet),lep2_p4());
minBJetIdx = iJet;
}
} // end loop over jets
if(minBJetIdx>=0) lep2b_TLV += ak4pfjets_p4().at(minBJetIdx);
} // end if nvetoleps>1
int mStop = mass_stop();
int mLSP = mass_lsp();
/////////////////////////////////////////////////////////////
// //
// Loop over all analyzers, genClassy's, systematics, etc. //
// //
/////////////////////////////////////////////////////////////
// Loop over all analyzers
for( int iAna=0; iAna<nAnalyzers; iAna++ ) {
analyzer* thisAnalyzer = analyzers.at(iAna);
// Make an array of which genClassy's this event passes
bool passedGenClassies[genClassyInfo::k_nGenClassy];
for( genClassyInfo::Util thisGenClassy : thisAnalyzer->GetGenClassifications() ) {
passedGenClassies[thisGenClassy.id] = thisGenClassy.eval_GenClassy();
// Manually correct the ZZto2L2Nu sample
if( sample.id==sampleInfo::k_ZZTo2L2Nu_powheg_pythia8 ) {
if( thisGenClassy.id == genClassyInfo::k_ge2lep ||
thisGenClassy.id == genClassyInfo::k_incl ) passedGenClassies[thisGenClassy.id] = true;
else passedGenClassies[thisGenClassy.id] = false;
}
}
// Check if this event passes selections with JES set to nominal
// (saves us having to evaluate this for every systematic)
thisAnalyzer->SetJesType( 0 );
bool pass_JESnominal = thisAnalyzer->PassSelections();
// Fill cutflow histogram
std::vector<bool> cutflow_results = selectionInfo::get_selectionResults( thisAnalyzer->GetSelections() );
for( uint i=0; i<cutflow_results.size(); i++ ) {
if( !cutflow_results.at(i) ) break;
h_cutflow[iAna]->Fill( i+1 );
}
// Loop over all systematics in the analyzer
for( sysInfo::Util thisSystematic : thisAnalyzer->GetSystematics() ) {
// Check if this event passes selections, and also set the appropriate JES type for future use
if( thisSystematic.id == sysInfo::k_JESUp ) {
thisAnalyzer->SetJesType( 1 );
if( !thisAnalyzer->PassSelections() ) continue;
}
else if( thisSystematic.id == sysInfo::k_JESDown ) {
thisAnalyzer->SetJesType( -1 );
if( !thisAnalyzer->PassSelections() ) continue;
}
else {
thisAnalyzer->SetJesType( 0 );
if( !pass_JESnominal ) continue;
}
// If we've passed selections, then get the event weight and the categories passed
double weight = thisAnalyzer->GetEventWeight( thisSystematic.id );
std::vector<int> categories_passed = thisAnalyzer->GetCategoriesPassed();
// Loop over all the gen classifications that we passed
for( genClassyInfo::Util thisGenClassy : thisAnalyzer->GetGenClassifications() ) {
int iGen = thisGenClassy.id;
if( !passedGenClassies[iGen] ) continue;
// Get the index for the histogram corresponding to this genClassy and systematic
int histIndex = iGen*nSystematics + thisSystematic.id;
// Fill yield histograms
for( int category : categories_passed ) {
if( sample.isSignalScan ) {
TH3D* yieldHisto = (TH3D*)thisAnalyzer->GetYieldHistogram( histIndex );
yieldHisto->Fill( mStop, mLSP, category, weight );
}
else thisAnalyzer->GetYieldHistogram( histIndex )->Fill( category, weight );
}
/////////////////////////////////////
// //
// Fill other non-yield histograms //
// //
/////////////////////////////////////
if( thisSystematic.id == sysInfo::k_nominal ) {
for(int iMassPt=0; iMassPt<nMassPts; iMassPt++) {
if( sample.isSignalScan && mStop!=sample.massPtList[iMassPt].first && mLSP!=sample.massPtList[iMassPt].second ) continue;
//if(!isnormal(wgt_nominal)) cout << "NaN/inf weight: nEntries=" << wgtInfo.nEvents << ", lepSF=" << wgtInfo.sf_lep << ", vetoLep="<< wgtInfo.sf_vetoLep << ", btagSF=" << wgtInfo.sf_bTag << endl;
// Histo Index
int iHisto = iAna*nGenClassy*nMassPts + iGen*nMassPts + iMassPt;
// Vars
double nGoodJets = ngoodjets();
bool add2ndLepToMet = thisAnalyzer->GetAdd2ndLep();
double mt = add2ndLepToMet ? mt_met_lep_rl() : mt_met_lep();
double modTopness = add2ndLepToMet ? topnessMod_rl() : topnessMod();
double met = add2ndLepToMet ? pfmet_rl() : pfmet();
double mlb = Mlb_closestb();
if( TString(thisAnalyzer->GetLabel()).Contains("CR0b") ) mlb = ( lep1_p4() + ak4pfjets_leadbtag_p4() ).M();
// Met Sideband CR area, met>=150
if( met>=150 && met<250 ) {
// mlb, met sideband CR
h_mlb_150to250met_incl[iHisto]->Fill( mlb, weight );
if( nGoodJets<4 ) h_mlb_150to250met_lt4j[iHisto]->Fill( mlb, weight );
if( nGoodJets>=4 ) h_mlb_150to250met_ge4j[iHisto]->Fill( mlb, weight );
// mlb_lep2, met sideband CR
if(nvetoleps()>1 && minBJetIdx>=0) {
h_mlb_lep2_150to250met_incl[iHisto]->Fill( lep2b_TLV.M(), weight );
if( nGoodJets<4 ) h_mlb_lep2_150to250met_lt4j[iHisto]->Fill( lep2b_TLV.M(), weight );
if( nGoodJets>=4 ) h_mlb_lep2_150to250met_ge4j[iHisto]->Fill( lep2b_TLV.M(), weight );
}
} // end if 150<met<250
// Signal Region Area, met>=250
if( met<250.0 ) continue;
// nJets
h_nJets[iHisto]->Fill( nGoodJets, weight );
// nBTags
h_nBTags[iHisto]->Fill( ngoodbtags(), weight );
// lep1 pT
h_lep1Pt_incl[iHisto]->Fill( lep1_p4().Pt(), weight );
// lep2 pT
if( nvetoleps()>1 ) h_lep2Pt_incl[iHisto]->Fill( lep2_p4().Pt(), weight );
// jet pT
for(int iJet=0; iJet<(int)ak4pfjets_p4().size(); iJet++) h_jetPt_incl[iHisto]->Fill( ak4pfjets_p4().at(iJet).Pt(), weight );
// jet1 pT
h_jet1Pt_incl[iHisto]->Fill( ak4pfjets_p4().at(0).Pt(), weight );
// jet2 pT
h_jet2Pt_incl[iHisto]->Fill( ak4pfjets_p4().at(1).Pt(), weight );
// DeepCSV jet1 pT
if(jet1_idx>=0) h_deepcsvJet1Pt_incl[iHisto]->Fill( ak4pfjets_p4().at(jet1_idx).Pt(), weight );
// DeepCSV jet2 pT
if(jet2_idx>=0) h_deepcsvJet2Pt_incl[iHisto]->Fill( ak4pfjets_p4().at(jet2_idx).Pt(), weight );
// met
h_met_incl[iHisto]->Fill( met, weight );
if( nGoodJets<4 ) h_met_lt4j[iHisto]->Fill( met, weight );
if( nGoodJets>=4 ) h_met_ge4j[iHisto]->Fill( met, weight );
// lep1lep2bbMetPt
h_lep1lep2bbMetPt_incl[iHisto]->Fill( lep1lep2bbMet_pt, weight );
if( nGoodJets<4 ) h_lep1lep2bbMetPt_lt4j[iHisto]->Fill( lep1lep2bbMet_pt, weight );
if( nGoodJets>=4 ) h_lep1lep2bbMetPt_ge4j[iHisto]->Fill( lep1lep2bbMet_pt, weight );
// mt
h_mt_incl[iHisto]->Fill( mt, weight );
// modTopness
h_modTopness_incl[iHisto]->Fill( modTopness, weight );
if( nGoodJets<4 ) h_modTopness_lt4j[iHisto]->Fill( modTopness, weight );
if( nGoodJets>=4 ) h_modTopness_ge4j[iHisto]->Fill( modTopness, weight );
// mlb
h_mlb_incl[iHisto]->Fill( mlb, weight );
if( nGoodJets<4 ) h_mlb_lt4j[iHisto]->Fill( mlb, weight );
if( nGoodJets>=4 ) h_mlb_ge4j[iHisto]->Fill( mlb, weight );
// mlb, modTopness bins
if(modTopness<0.0) h_mlb_lt0modTopness[iHisto]->Fill( mlb, weight );
if(modTopness>=0.0) h_mlb_ge0modTopness[iHisto]->Fill( mlb, weight );
if(modTopness>=10.0) h_mlb_ge10modTopness[iHisto]->Fill( mlb, weight );
// mlb_lep2
if(nvetoleps()>1 && minBJetIdx>=0) {
h_mlb_lep2_incl[iHisto]->Fill( lep2b_TLV.M(), weight );
if( nGoodJets<4 ) h_mlb_lep2_lt4j[iHisto]->Fill( lep2b_TLV.M(), weight );
if( nGoodJets>=4 ) h_mlb_lep2_ge4j[iHisto]->Fill( lep2b_TLV.M(), weight );
}
// Gen TTBar System
if( sampleIsTTbar ) {
h_gen_ttbarPt_incl[iHisto]->Fill( ttbarPt, weight );
if( nGoodJets<4 ) h_gen_ttbarPt_lt4j[iHisto]->Fill( ttbarPt, weight );
if( nGoodJets>=4 ) h_gen_ttbarPt_ge4j[iHisto]->Fill( ttbarPt, weight );
}
// Gen 2nd Lep ID
if( !sample.isData && is2lep() && gen2ndLep__idx>=0 ) {
h_gen_lep2_id_incl[iHisto]->Fill( fill_bin_genLep2ID, weight );
if( ngoodjets()<4 ) h_gen_lep2_id_lt4j[iHisto]->Fill( fill_bin_genLep2ID, weight );
if( ngoodjets()>=4 ) h_gen_lep2_id_ge4j[iHisto]->Fill( fill_bin_genLep2ID, weight );
}
} // end loop over mass points (1 if not signal scan)
} // End filling of non-yield histograms
} // End loop over genClassy's
} // End loop over systematics
} // End loop over analyzers
} // End loop over events in tree
//
// Clean Up
//
delete tree;
file->Close();
delete file;
} // end loop over file list
//
// Output Sanitation
//
if ( nEventsChain != nEventsTotal ) {
cout << Form( "ERROR: number of events from files (%d) is not equal to total number of events (%d)", nEventsChain, nEventsTotal ) << endl;
}
//
// Print Selection Cutflow
//
cout << "====================================================" << endl;
cout << endl;
for(int iAna=0; iAna<nAnalyzers; iAna++) {
cout << " " << analyzers.at(iAna)->GetLabel() << " Cutflow: " << endl;
for(int iCut=1; iCut<=(int)h_cutflow[iAna]->GetNbinsX(); iCut++) {
cout << " nEvents pass " << h_cutflow[iAna]->GetXaxis()->GetBinLabel(iCut) << " = " << h_cutflow[iAna]->GetBinContent(iCut) << endl;
}
cout << endl;
cout << endl;
}
cout << "====================================================" << endl;
//
// Clean stopCORE objects
//
wgtInfo.cleanUp();
//
// Close Output File
//
f_output->Write();
f_output->Close();
//
// Clean input chain
//
chain->~TChain();
if( sample.isData ) duplicate_removal::clear_list();
//
// Benchmark Reporting
//
bmark->Stop("benchmark");
cout << endl;
cout << nEventsTotal << " Events Processed" << endl;
cout << "------------------------------" << endl;
cout << "CPU Time: " << Form( "%.01f", bmark->GetCpuTime("benchmark") ) << endl;
cout << "Real Time: " << Form( "%.01f", bmark->GetRealTime("benchmark") ) << endl;
cout << endl;
delete bmark;
cout << "====================================================" << endl;
//fclose(f_evtList);
//
// Return!
//
return 0;
} // End of function "looper"
//Main function
int ScanChain::looper(TChain* chain, TString output_name, int nEvents){
//Print warning!
cout << "Careful!! Path is " << path << endl;
createAndInitMVA("CORE");
//readMVA* localEleMVAreader = new readMVA();
//localEleMVAreader->InitMVA("CORE");
//Set up loop over chain
unsigned int nEventsDone = 0;
unsigned int nEventsToDo = chain->GetEntries();
if( nEvents >= 0 ) nEventsToDo = nEvents;
TObjArray *listOfFiles = chain->GetListOfFiles();
TIter fileIter(listOfFiles);
TFile *currentFile = 0;
std::map<std::string, TH1*> h_1d;
// File Loop
while ( (currentFile = (TFile*)fileIter.Next()) ) {
// Get File Content
if(nEventsDone >= nEventsToDo) continue;
TFile *file = new TFile( currentFile->GetTitle() );
TTree *tree = (TTree*)file->Get("Events");
cms3.Init(tree);
// Loop over Events in current file
unsigned int nEventsTree = tree->GetEntriesFast();
for(unsigned int evt = 0; evt < nEventsTree; evt++){
//cout<<"\nEvent loop again"<<endl;
// Get Event Content
if(nEventsDone >= nEventsToDo) continue;
cms3.GetEntry(evt);
nEventsDone++;
//Debug mode
if (verbose && tas::evt_event() != evt_cut) continue;
if (verbose) cout << "file name is " << file->GetName() << endl;
// Progress
CMS3::progress(nEventsDone, nEventsToDo);
for (unsigned int iel = 0; iel < els_p4().size(); ++iel) {
LorentzVector el_p4 = els_p4().at(iel);
float pt = el_p4.pt();
plot1D("h_pt", pt, 1, h_1d, "pT [GeV]", 150, 0, 150);
}
}// end of event loop
file->Close();
delete file;
//delete tree;
cout<<"\nFile done"<<endl;
}//end of file loop
cout<<"\nWriting file"<<endl;
savePlots(h_1d, output_name+".root");
return 0;
}
