void updateweight(TString filename)
{
auto f = new TFile(filename,"update");
auto nt = (TTree *)f->Get("nt");
float prew, weight;
TBranch *bw;
bw = nt->Branch("weight",&weight);
nt->SetBranchAddress("prew",&prew);
int n = nt->GetEntries();
int onep = n/100;
for (int i=0;i<n;i++) {
if (i%onep==0) cout<<i/onep<<endl;
nt->GetEntry(i);
weight = prew;
bw->Fill();
}
nt->Write();
f->Close();
}
void ResultFormatter::AddBranch( TTree* inputTree, const string& BranchName, const vector<double>& DoubleData )
{
if( inputTree->GetEntries() != 0 )
{
if( inputTree->GetEntries() != (int) DoubleData.size() )
{
cerr << "CANNOT ADD DOUBLE BRANCH: " << BranchName << " TO: " << inputTree->GetName() << endl;
return;
}
}
TString branchName( BranchName );
TString branchLabel=branchName; branchLabel.Append("/D");
double thisValue=0.;
TBranch* newBranch = inputTree->Branch( branchName, &thisValue, branchLabel );
inputTree->SetEntries( (int) DoubleData.size() );
for( unsigned int i=0; i< DoubleData.size(); ++i )
{
thisValue=DoubleData[i];
newBranch->Fill();
}
return;
}
int reader_wrapper::GetEntry(Long64_t e) {
/// don't care about spectators here
for (auto b: m_branches) {
b->GetEntry(e);
}
for (auto& v : m_variables) {
v.value = v.ttreeformula->EvalInstance();
}
m_response = m_reader->EvaluateMVA(m_methodName.Data());
m_responseBranch->Fill();
return 0;
}
void addBranchToTreesInFiles() {
//************************************************************
// Variables //
vector<TString> fileName;
fileName.push_back( "PhotonJetPt15_realPhotons.root" );
fileName.push_back( "PhotonJetPt30_realPhotons.root" );
// The following 4 variables set the scale
float invLuminosityToScaleTo = 200; // in pb-1
vector<float> crossSection;
crossSection.push_back( 2.9E5 );
crossSection.push_back( 3.2E4 );
vector<float> filterEffeciency;
filterEffeciency.push_back( 1.0 );
filterEffeciency.push_back( 1.0 );
vector<float> eventsAnalyzied;
eventsAnalyzied.push_back( 950E3 );
eventsAnalyzied.push_back( 670E3 );
// END of setting scale
TString treeName = "TreePhotonMatched";
// END of Variables //
//************************************************************
// Loop over all the Files
for (int i=0; i < fileName.size(); i++) {
TFile* currentFile = new TFile(fileName[i],"update");
// this is the variable to be added
Float_t scale=crossSection[i]*invLuminosityToScaleTo*filterEffeciency[i]/eventsAnalyzied[i];
cout << "Opened " << fileName[i] << ", adding new branch with value=" << scale;
TTree *tree = (TTree*)currentFile->Get(treeName);
TBranch *newBranch = tree->Branch("weight", &scale,"weight/F");
// Loop over all the entries, and add the new branch
Int_t numEntries = (Int_t)tree->GetEntries();
for (Int_t j=0; j<numEntries; j++) {
newBranch->Fill();
}
tree->Write("",TObject::kOverwrite); // save new version only
currentFile->Close();
cout << "...closed file." << endl;
}
}
void addDiMuMassPrimeBranchZPt(DiMuPlottingSystem* dps)
{
TTree* newtree = new TTree("newtree", "new tree");
newtree->AddFriend(dps->treename, dps->infilename);
TBranch *newBranch = newtree->Branch("recoCandMassPrime",&dps->recoCandMassPrime,"recoCandMassPrime/F");
Int_t nentries = dps->tree->GetEntries();
std::cout << "nentries: " << nentries << std::endl;
for (Int_t i = 0; i < nentries; i++)
{
dps->tree->GetEntry(i);
if(dps->recoCandPt > 20 && dps->recoCandPt < 60) dps->recoCandMassPrime = dps->recoCandMass + 0.0000917686*(dps->recoCandPt*dps->recoCandPt)*TMath::Sin(-6.43015*TMath::Sqrt(dps->recoCandPt) + 0.210496);
else dps->recoCandMassPrime = dps->recoCandMass;
newBranch->Fill();
}
dps->tree = newtree;
}
void addMCWeight(TString filename, TString treename)
{
using namespace std;
cout << "adding MCWeight to:"<< filename << endl;
double scale_w;
float mcWeight;
int npv;
TFile *file = new TFile(filename,"UPDATE");
TTree *oldtree = (TTree*)file->Get(treename);
if(oldtree==NULL)
{
cout << "Could not find tree " << treeDir << "/" << treename << endl
<< "in file " << file->GetName() << endl;
return;
}
oldtree->SetBranchAddress("scale_w",&scale_w);
oldtree->SetBranchAddress("mcWeight",&mcWeight);
oldtree->SetBranchAddress("npv",&npv);
double scaleMC_w = 1.0;
TBranch *branch = oldtree->Branch("scaleMC_w",&scaleMC_w,"scaleMC_w/D");
for(int i = 0; i < oldtree->GetEntries(); i++)
{
oldtree->GetEntry(i);
double w_npv = (3.57041 + -1.49846*npv + 0.515829*npv*npv + -0.0839209*npv*npv*npv + 0.00719964*npv*npv*npv*npv + -0.000354548*npv*npv*npv*npv*npv + 1.01544e-05*npv*npv*npv*npv*npv*npv + -1.58019e-07*npv*npv*npv*npv*npv*npv*npv + 1.03663e-09*npv*npv*npv*npv*npv*npv*npv*npv);
scaleMC_w = scale_w*mcWeight*w_npv;
branch->Fill();
}
file->cd();
oldtree->CloneTree()->Write(treename, TObject::kOverwrite);
file->Close();
}
void addMCWeight_data(TString filename, TString treename)
{
using namespace std;
cout << "Data adding MCWeight to:"<< filename << endl;
double scale_w;
float mcWeight;
TFile *file = new TFile(filename,"UPDATE");
TTree *oldtree = (TTree*)file->Get(treename);
if(oldtree==NULL)
{
cout << "Could not find tree " << treeDir << "/" << treename << endl
<< "in file " << file->GetName() << endl;
return;
}
oldtree->SetBranchAddress("scale_w",&scale_w);
oldtree->SetBranchAddress("mcWeight",&mcWeight);
double scaleMC_w = 1.0;
TBranch *branch = oldtree->Branch("scaleMC_w",&scaleMC_w,"scaleMC_w/D");
for(int i = 0; i < oldtree->GetEntries(); i++)
{
oldtree->GetEntry(i);
scaleMC_w = scale_w*mcWeight;
branch->Fill();
}
file->cd();
oldtree->CloneTree()->Write(treename, TObject::kOverwrite);
file->Close();
}
void addBranch() {
//TFile *f = TFile::Open("TTbar_madgraphMLM_1000pb_weighted.root","update");
//TFile *f = TFile::Open("QCD_1000pb_weighted.root","update");
TFile *f = TFile::Open("GluGluHToBB_M125_13TeV_powheg_pythia8_1000pb_weighted.root","update");
TTree *T = (TTree*)f->Get("otree");
double AK8Puppijet0_tau21,AK8Puppijet0_msd,AK8Puppijet0_pt;
double AK8Puppijet0_tau21DDT = 999;
TBranch *bpt = T->Branch("AK8Puppijet0_tau21DDT",&AK8Puppijet0_tau21DDT,"AK8Puppijet0_tau21DDT/D");
T->SetBranchAddress("AK8Puppijet0_tau21",&AK8Puppijet0_tau21);
T->SetBranchAddress("AK8Puppijet0_msd",&AK8Puppijet0_msd);
T->SetBranchAddress("AK8Puppijet0_pt",&AK8Puppijet0_pt);
Long64_t nentries = T->GetEntries();
for (Long64_t i=0;i<nentries;i++) {
T->GetEntry(i);
if (AK8Puppijet0_pt > 0. && AK8Puppijet0_msd > 0.)
AK8Puppijet0_tau21DDT = AK8Puppijet0_tau21 + 0.063*TMath::Log(AK8Puppijet0_msd*AK8Puppijet0_msd/AK8Puppijet0_pt);
bpt->Fill();
}
T->Print();
T->Write();
delete f;
}
void updatePbPbBtriggerweight(TString filename, vector<float> w)
{
auto f = new TFile(filename,"update");
auto nt = (TTree *)f->Get("nt");
float csv60, csv80;
float triggermatched;
float weight;
TBranch *bw;
bw = nt->Branch("weight",&weight);
nt->SetBranchAddress("hltCSV60",&csv60);
nt->SetBranchAddress("hltCSV80",&csv80);
nt->SetBranchAddress("triggermatched",&triggermatched);
int n = nt->GetEntries();
int onep = n/100;
for (int i=0;i<n;i++) {
if (i%onep==0) cout<<i/onep<<endl;
nt->GetEntry(i);
weight = 0;
if (triggermatched && csv80) weight = w[1];
if (triggermatched && csv60 && !csv80) weight = w[0];
bw->Fill();
}
nt->Write();
f->Close();
}
void TMVAClassificationApplication_TX(TString myMethodList = "" , TString iFileName = "", TString sampleLocation = "", TString outputLocation = "")
{
#ifdef __CINT__
gROOT->ProcessLine( ".O0" ); // turn off optimization in CINT
#endif
//---------------------------------------------------------------
// This loads the library
TMVA::Tools::Instance();
// Default MVA methods to be trained + tested
std::map<std::string,int> Use;
// --- Cut optimisation
Use["Cuts"] = 0;
Use["CutsD"] = 0;
Use["CutsPCA"] = 0;
Use["CutsGA"] = 0;
Use["CutsSA"] = 0;
//
//
// --- Boosted Decision Trees
Use["BDT"] = 1; // uses Adaptive Boost
std::cout << std::endl;
std::cout << "==> Start TMVAClassificationApplication" << std::endl;
// Select methods (don't look at this code - not of interest)
if (myMethodList != "") {
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) it->second = 0;
std::vector<TString> mlist = gTools().SplitString( myMethodList, ',' );
for (UInt_t i=0; i<mlist.size(); i++) {
std::string regMethod(mlist[i]);
if (Use.find(regMethod) == Use.end()) {
std::cout << "Method \"" << regMethod
<< "\" not known in TMVA under this name. Choose among the following:" << std::endl;
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) {
std::cout << it->first << " ";
}
std::cout << std::endl;
return;
}
Use[regMethod] = 1;
}
}
// --------------------------------------------------------------------------------------------------
// --- Create the Reader object
TMVA::Reader *reader = new TMVA::Reader("!Color:!Silent" );
// Create a set of variables and declare them to the reader
// - the variable names MUST corresponds in name and type to those given in the weight file(s) used
Float_t var1, var2, var3, var4, var5, var6, var7, var8, var9, var10, var11, var12, var13, var14, var15, var16, var17, var18, var19, var20, var21, var22, var23, var24, var25, var26, var27, var28, var29;
//reader->AddVariable( "Alt$(jet_pt_singleLepCalc[0],0)", &var1);
//reader->AddVariable( "Alt$(jet_pt_singleLepCalc[1],0)", &var2 );
//reader->AddVariable( "Alt$(jet_pt_singleLepCalc[2],0)", &var3 );
reader->AddVariable( "Alt$(bJetPt_CATopoCalc[0],0)", &var4 );
reader->AddVariable( "Alt$(bJetPt_CATopoCalc[1],0)", &var5 );
//reader->AddVariable( "corr_met_singleLepCalc", &var6 );
//reader->AddVariable( "muon_1_pt_singleLepCalc", &var7 );
//reader->AddVariable( "nBJets_CATopoCalc", &var8 );
//reader->AddVariable( "nSelJets_CommonCalc", &var9 );
//reader->AddVariable( "LeptonJet_DeltaR_LjetsTopoCalcNew", &var10);
reader->AddVariable( "Mevent_LjetsTopoCalcNew", &var11);
//reader->AddVariable( "W_Pt_LjetsTopoCalcNew", &var12 );
reader->AddVariable( "Jet1Jet2_Pt_LjetsTopoCalcNew", &var13 );
//reader->AddVariable( "BestTop_LjetsTopoCalcNew", &var14 );
//reader->AddVariable( "BTagTopMass_LjetsTopoCalcNew", &var15 );
//reader->AddVariable( "Alt$(CAHEPTopJetMass_JetSubCalc[0],0)", &var16 );
//reader->AddVariable( "Alt$(CAWCSVMSubJets_JetSubCalc[0],0)", &var17 );
//reader->AddVariable( "Alt$(CAWCSVLSubJets_JetSubCalc[0],0)", &var18 );
reader->AddVariable( "Alt$(CAWJetPt_JetSubCalc[0],0)", &var19 );
reader->AddVariable( "Alt$(CAWJetMass_JetSubCalc[0],0)", &var20 );
//reader->AddVariable( "Alt$(CAHEPTopJetMass_JetSubCalc[1],0)", &var21 );
//reader->AddVariable( "Hz_LjetsTopoCalcNew", &var22 );
//reader->AddVariable( "Centrality_LjetsTopoCalcNew", &var23 );
reader->AddVariable( "SqrtsT_LjetsTopoCalcNew", &var24 );
reader->AddVariable( "CAMindrBMass_CATopoCalc", &var28 );
reader->AddVariable( "minDRCAtoB_CATopoCalc", &var29 );
//reader->AddVariable( "HT2prime_LjetsTopoCalcNew", &var25 );
reader->AddVariable( "HT2_LjetsTopoCalcNew", &var26 );
//reader->AddVariable( "dphiLepMet_LjetsTopoCalcNew", &var27 );
// Spectator variables declared in the training have to be added to the reader, too
// Float_t spec1,spec2;
// reader->AddSpectator( "spec1 := var1*2", &spec1 );
// reader->AddSpectator( "spec2 := var1*3", &spec2 );
// Float_t Category_cat1, Category_cat2, Category_cat3;
// if (Use["Category"]){
// // Add artificial spectators for distinguishing categories
// reader->AddSpectator( "Category_cat1 := var3<=0", &Category_cat1 );
// reader->AddSpectator( "Category_cat2 := (var3>0)&&(var4<0)", &Category_cat2 );
// reader->AddSpectator( "Category_cat3 := (var3>0)&&(var4>=0)", &Category_cat3 );
// }
// --- Book the MVA methods
// Book method(s)
TString weightFileName = "weights/TMVAClassification_BDT.weights";
reader->BookMVA("BDT method", weightFileName+".xml" );
// Book output histograms
UInt_t nbin = 100;
TH1F *histBdt(0);
histBdt = new TH1F( "MVA_BDT_TX", "MVA_BDT_TX", nbin, -1.0, 1.0);
// Prepare input tree (this must be replaced by your data source)
// in this example, there is a toy tree with signal and one with background events
// we'll later on use only the "signal" events for the test in this example.
//
TFile *input(0);
TString fileName = iFileName;
TString fname = sampleLocation+"/";
fname += fileName;
TString oFileName = fileName;
if (!gSystem->AccessPathName( fname ))
input = TFile::Open( fname ); // check if file in local directory exists
if (!input) {
std::cout << "ERROR: could not open data file" << std::endl;
exit(1);
}
std::cout << "--- TMVAClassificationApp : Using input file: " << input->GetName() << std::endl;
// --- Event loop
// Prepare the event tree
// - here the variable names have to corresponds to your tree
// - you can use the same variables as above which is slightly faster,
// but of course you can use different ones and copy the values inside the event loop
//
std::cout << "--- Select signal sample" << std::endl;
TTree* theTree = (TTree*)input->Get("ljmet");
gSystem->mkdir( outputLocation );
TFile *target = new TFile( outputLocation+"/"+oFileName,"RECREATE" );
TTree *newTree = theTree->CloneTree();
Float_t BDT;
TBranch *branchBDT = newTree->Branch("__BDT_TX__",&BDT,"__BDT_TX__/F");
std::vector<Double_t> *vecVar1;
std::vector<Double_t> *vecVar4;
std::vector<Double_t> *vecVar16;
std::vector<Int_t> *vecVar17;
std::vector<Int_t> *vecVar18;
std::vector<Double_t> *vecVar19;
std::vector<Double_t> *vecVar20;
Int_t *intVar5, *intVar8, *intVar9;
Double_t *dVar2, *dVar3, *dVar6, *dVar7, *dVar10, *dVar11, *dVar12, *dVar13, *dVar14, *dVar15, *dVar22, *dVar23, *dVar24, dVar25, *dVar26, *dVar27, *dVar28, *dVar29;
theTree->SetBranchAddress( "jet_pt_singleLepCalc", &vecVar1);
theTree->SetBranchAddress( "bJetPt_CATopoCalc", &vecVar4 );
theTree->SetBranchAddress( "corr_met_singleLepCalc", &dVar6 );
theTree->SetBranchAddress( "muon_1_pt_singleLepCalc", &dVar7 );
theTree->SetBranchAddress( "nBJets_CATopoCalc", &intVar8 );
theTree->SetBranchAddress( "nSelJets_CommonCalc", &intVar9 );
theTree->SetBranchAddress( "LeptonJet_DeltaR_LjetsTopoCalcNew", &dVar10);
theTree->SetBranchAddress( "Mevent_LjetsTopoCalcNew", &dVar11);
theTree->SetBranchAddress( "W_Pt_LjetsTopoCalcNew", &dVar12 );
theTree->SetBranchAddress( "Jet1Jet2_Pt_LjetsTopoCalcNew", &dVar13 );
theTree->SetBranchAddress( "BestTop_LjetsTopoCalcNew", &dVar14 );
theTree->SetBranchAddress( "BTagTopMass_LjetsTopoCalcNew", &dVar15 );
theTree->SetBranchAddress( "CAHEPTopJetMass_JetSubCalc", &vecVar16 );
theTree->SetBranchAddress( "CAWCSVMSubJets_JetSubCalc", &vecVar17 );
theTree->SetBranchAddress( "CAWCSVLSubJets_JetSubCalc", &vecVar18 );
theTree->SetBranchAddress( "CAWJetPt_JetSubCalc", &vecVar19 );
theTree->SetBranchAddress( "CAWJetMass_JetSubCalc", &vecVar20 );
theTree->SetBranchAddress( "Hz_LjetsTopoCalcNew", &dVar22 );
theTree->SetBranchAddress( "Centrality_LjetsTopoCalcNew", &dVar23 );
theTree->SetBranchAddress( "SqrtsT_LjetsTopoCalcNew", &dVar24 );
theTree->SetBranchAddress( "HT2prime_LjetsTopoCalcNew", &dVar25 );
theTree->SetBranchAddress( "HT2_LjetsTopoCalcNew", &dVar26 );
theTree->SetBranchAddress( "dphiLepMet_LjetsTopoCalcNew", &dVar27 );
theTree->SetBranchAddress( "CAMindrBMass_CATopoCalc", &dVar28 );
theTree->SetBranchAddress( "minDRCAtoB_CATopoCalc", &dVar29 );
// Efficiency calculator for cut method
Int_t nSelCutsGA = 0;
Double_t effS = 0.7;
std::vector<Float_t> vecVar(4); // vector for EvaluateMVA tests
std::cout << "--- Processing: " << theTree->GetEntries() << " events" << std::endl;
TStopwatch sw;
sw.Start();
for (Long64_t ievt=0; ievt<theTree->GetEntries();ievt++) {
if (ievt%1000 == 0) std::cout << "--- ... Processing event: " << ievt << std::endl;
theTree->GetEntry(ievt);
if(vecVar1->size()>0){
var1 = vecVar1->at(0);
}
if(vecVar1->size()>1){
var2 = vecVar1->at(1);
}
if(vecVar1->size()>2){
var3 = vecVar1->at(2);
}
if(vecVar4->size()>0){
var4 = vecVar4->at(0);
}
if(vecVar4->size()>1){
var5 = vecVar4->at(1);
}
var6 = dVar6;
var7 = dVar7;
var8 = intVar8;
var9 = intVar9;
var10 = dVar10;
var11 = dVar11;
var12 = dVar12;
var13 = dVar13;
var14 = dVar14;
var15 = dVar15;
if(vecVar16->size()>0){
var16 = vecVar16->at(0);
}
else{
var16 = 0;
}
if(vecVar17->size()>0){
var17 = vecVar17->at(0);
}
else{
var18 = 0;
}
if(vecVar19->size()>0){
var19 = vecVar19->at(0);
}
else{
var19 = 0;
}
if(vecVar20->size()>0){
var20 = vecVar20->at(0);
}
else{
var20 = 0;
}
if(vecVar16->size()>1){
var21 = vecVar16->at(1);
}
else{
var21 = 0;
}
var22 = dVar22;
var23 = dVar23;
var24 = dVar24;
var25 = dVar25;
var26 = dVar26;
var27 = dVar27;
var28 = dVar28;
var29 = dVar29; // --- Return the MVA outputs and fill into histograms
if (Use["CutsGA"]) {
// Cuts is a special case: give the desired signal efficienciy
Bool_t passed = reader->EvaluateMVA( "CutsGA method", effS );
if (passed) nSelCutsGA++;
}
BDT = reader->EvaluateMVA( "BDT method");
histBdt->Fill(BDT);
branchBDT->Fill();
}
// Get elapsed time
sw.Stop();
std::cout << "--- End of event loop: "; sw.Print();
// Get efficiency for cuts classifier
if (Use["CutsGA"]) std::cout << "--- Efficiency for CutsGA method: " << double(nSelCutsGA)/theTree->GetEntries()
<< " (for a required signal efficiency of " << effS << ")" << std::endl;
if (Use["CutsGA"]) {
// test: retrieve cuts for particular signal efficiency
// CINT ignores dynamic_casts so we have to use a cuts-secific Reader function to acces the pointer
TMVA::MethodCuts* mcuts = reader->FindCutsMVA( "CutsGA method" ) ;
if (mcuts) {
std::vector<Double_t> cutsMin;
std::vector<Double_t> cutsMax;
mcuts->GetCuts( 0.7, cutsMin, cutsMax );
std::cout << "--- -------------------------------------------------------------" << std::endl;
std::cout << "--- Retrieve cut values for signal efficiency of 0.7 from Reader" << std::endl;
for (UInt_t ivar=0; ivar<cutsMin.size(); ivar++) {
std::cout << "... Cut: "
<< cutsMin[ivar]
<< " < \""
<< mcuts->GetInputVar(ivar)
<< "\" <= "
<< cutsMax[ivar] << std::endl;
}
std::cout << "--- -------------------------------------------------------------" << std::endl;
}
}
// --- Write histograms
newTree->Write("",TObject::kOverwrite);
target->Close();
std::cout << "--- Created root file: \""<<oFileName<<"\" containing the MVA output histograms" << std::endl;
delete reader;
std::cout << "==> TMVAClassificationApplication is done!" << endl << std::endl;
}
int main(int argc, char** argv){
//Check if all nedeed arguments to parse are there
if(argc != 2)
{
std::cerr << ">>>>> analysis.cpp::usage: " << argv[0] << " configFileName" << std::endl ;
return 1;
}
std::cout << " " << std::endl;
std::cout << " " << std::endl;
std::cout << " \\ | | \\ \\ / _) | | " << std::endl;
std::cout << " _ \\ _` | _` | \\ \\ \\ / _ \\ | _` | __ \\ __| " << std::endl;
std::cout << " ___ \\ ( | ( | \\ \\ \\ / __/ | ( | | | | | " << std::endl;
std::cout << " _/ _\\ \\__,_| \\__,_| \\_/\\_/ \\___| _| \\__, | _| |_| \\__| " << std::endl;
std::cout << " |___/ " << std::endl;
std::cout << " " << std::endl;
std::cout << " " << std::endl;
std::cout << " " << std::endl;
// Parse the config file
parseConfigFile (argv[1]) ;
std::string treeName = gConfigParser -> readStringOption("Input::treeName");
std::string treeNameDir = "";
try {
treeNameDir = gConfigParser -> readStringOption("Input::treeNameDir");
}
catch (char const* exceptionString){
std::cerr << " exception = " << exceptionString << std::endl;
}
std::cout << ">>>>> input::treeNameDir " << treeNameDir << std::endl;
std::string fileSamples = gConfigParser -> readStringOption("Input::fileSamples");
std::string inputDirectory = gConfigParser -> readStringOption("Input::inputDirectory");
TTree *treeJetLepVect[1000];
char nameFileIn[1000];
char *nameSample[1000];
int PUScenarioIndex[1000];
sprintf(nameFileIn,"%s",fileSamples.c_str());
int numberOfSamples = ReadFileWeight(nameFileIn, nameSample, PUScenarioIndex);
std::cout << std::endl;
std::cout << " numberOfSamples = " << numberOfSamples << std::endl;
std::cout << std::endl;
// std::cout << " PUScenarioIndex[0] = " << PUScenarioIndex[0] << std::endl;
///==== PU reweight (begin) ====
int numPUScenarios = gConfigParser -> readIntOption("PU::PUScenarios");
std::vector<std::string> PUVAR;
std::vector<double> PUMC[100];
std::vector<double> PUDATA[100];
PUclass PU[100];
for (int iScPU = 0; iScPU < numPUScenarios; iScPU++) {
TString namePU;
namePU = Form("PU::PUMC%d",iScPU);
PUMC[iScPU] = gConfigParser -> readDoubleListOption(namePU.Data());
namePU = Form("PU::PUDATA%d",iScPU);
PUDATA[iScPU] = gConfigParser -> readDoubleListOption(namePU.Data());
namePU = Form("PU::PUVAR%d",iScPU);
std::string tempName = gConfigParser -> readStringOption(namePU.Data());
PUVAR.push_back(tempName);
if (PUMC[iScPU].size() != PUDATA[iScPU].size()) {
std::cout << " PUVAR[" << iScPU << "] = " << PUVAR.at(iScPU) << std::endl;
std::cout << " PUMC[" << iScPU << "].size() = " << PUMC[iScPU].size() << std::endl;
std::cout << " PUDATA[" << iScPU << "].size() = " << PUDATA[iScPU].size() << std::endl;
std::cerr << " ERROR " << std::endl;
return 1;
}
double sumPUMC = 0;
for (int itVPU = 0; itVPU < PUMC[iScPU].size(); itVPU++ ){
sumPUMC += PUMC[iScPU].at(itVPU);
}
double sumPUDATA = 0;
for (int itVPU = 0; itVPU < PUDATA[iScPU].size(); itVPU++ ){
sumPUDATA += PUDATA[iScPU].at(itVPU);
}
for (int itVPU = 0; itVPU < PUMC[iScPU].size(); itVPU++ ){
PU[iScPU].PUWeight.push_back(PUDATA[iScPU].at(itVPU) / PUMC[iScPU].at(itVPU) * sumPUMC / sumPUDATA);
}
}
///==== PU reweight (end) ====
///==== debug flag ====
bool debug = false;
try {
debug = gConfigParser -> readBoolOption("Input::debug");
}
catch (char const* exceptionString){
std::cerr << " exception = " << exceptionString << std::endl;
}
std::cout << ">>>>> input::debug " << debug << std::endl;
for (int iSample=0; iSample<numberOfSamples; iSample++){
std::cout << " nameSample[" << iSample << ":" << numberOfSamples << "] = " << nameSample[iSample] << std::endl;
///==== GetTree (begin) ====
char nameFile[20000];
sprintf(nameFile,"%s/out_%s.root",inputDirectory.c_str(),nameSample[iSample]);
std::cout << " nameFile = " << nameFile << std::endl;
TFile* f = new TFile(nameFile, "update");
f->cd(treeNameDir.c_str());
treeJetLepVect[iSample] = (TTree*) f->Get(treeName.c_str());
// char nameTreeJetLep[100];
// sprintf(nameTreeJetLep,"treeJetLep_%d",iSample);
// treeJetLepVect[iSample]->SetName(nameTreeJetLep);
///==== GetTree (end) ====
std::cout << " >>>>> GetEntries " << treeJetLepVect[iSample]->GetEntries() << std::endl;
double weight;
// TBranch *newBranch;
///==== add new branch ====
TBranch *newBranch = treeJetLepVect[iSample] -> Branch("weight_PU",&weight,"weight_PU/D");
int numPUMC;
treeJetLepVect[iSample] -> SetBranchAddress(PUVAR.at(PUScenarioIndex[iSample]).c_str(),&numPUMC);
Long64_t nentries = treeJetLepVect[iSample]->GetEntries();
for (Long64_t iEntry = 0; iEntry < nentries; iEntry++){
if((iEntry%((nentries+10)/10)) == 0) std::cout << ">>>>> analysis::GetEntry " << iEntry << " : " << nentries << std::endl;
treeJetLepVect[iSample]->GetEntry(iEntry);
weight = PU[ PUScenarioIndex[iSample] ].getPUWeight(numPUMC);
newBranch->Fill();
}
// save only the new version of the tree
treeJetLepVect[iSample]->Write("", TObject::kOverwrite);
}
std::cout << " *** end *** " << std::endl;
}
void flagMultCands( TString fname, TString tname ) {
TFile *inFile = new TFile( fname, "UPDATE" );
TTree *tree = (TTree*)inFile->Get( tname );
if ( tree->FindBranch( "pass_multcand" ) ) {
cout << "pass_multcand branch already exists so I won't add it" << endl;
delete inFile;
return;
}
ULong64_t eventNumber;
int itype;
bool pass_bdt;
bool pass_pid;
bool pass_rhokst;
bool pass_massveto;
UInt_t nCandidate;
ULong64_t totCandidates;
tree->SetBranchAddress( "eventNumber" , &eventNumber );
tree->SetBranchAddress( "itype" , &itype );
tree->SetBranchAddress( "pass_bdt" , &pass_bdt );
tree->SetBranchAddress( "pass_pid" , &pass_pid );
tree->SetBranchAddress( "pass_rhokst" , &pass_rhokst );
tree->SetBranchAddress( "pass_massveto" , &pass_massveto );
tree->SetBranchAddress( "totCandidates" , &totCandidates );
tree->SetBranchAddress( "nCandidate" , &nCandidate );
map< ULong64_t, ULong64_t > multCandEventNumbers;
cout << "Finding multiple candidates" << endl;
// first loop tree and save number of all multiple candidates
for ( int ev=0; ev<tree->GetEntries(); ev++ ) {
tree->GetEntry(ev);
if ( ev%10000==0 ) cout << ev << "/" << tree->GetEntries() << endl;
//if ( itype>0 && pass_bdt && pass_pid && (!pass_rhokst) && (!pass_massveto) && totCandidates > 1 ) {
if ( itype>0 && pass_bdt && pass_pid && (!pass_massveto) && totCandidates > 1 ) {
multCandEventNumbers[eventNumber] = totCandidates;
}
}
// now randomly select which one to keep
map< ULong64_t, UInt_t > eventToKeep;
TRandom3 rand;
rand.SetSeed(2016);
for ( map<ULong64_t,ULong64_t>::iterator it=multCandEventNumbers.begin(); it!=multCandEventNumbers.end(); it++) {
UInt_t keep = rand.Integer( it->second );
eventToKeep[it->first] = keep;
}
cout << "Adding flag pass_multcand to tree" << endl;
// then loop again and write the random choice back in
bool pass_multcand;
TBranch *bpt = tree->Branch( "pass_multcand", &pass_multcand, "pass_multcand/O" );
for ( int ev=0; ev<tree->GetEntries(); ev++ ) {
tree->GetEntry(ev);
if ( ev%10000==0 ) cout << ev << "/" << tree->GetEntries() << endl;
pass_multcand = true;
if ( totCandidates > 1 && eventToKeep[eventNumber] != nCandidate ) pass_multcand = false;
bpt->Fill();
}
tree->Write();
delete inFile;
}
void TMVAClassificationApplication_new(TString myMethodList = "" , TString iFileName = "", TString bkgSample = "", TString sampleLocation = "", TString massPoint = "", TString oFileLocation = "")
{
#ifdef __CINT__
gROOT->ProcessLine( ".O0" ); // turn off optimization in CINT
#endif
//---------------------------------------------------------------
// This loads the library
TMVA::Tools::Instance();
// Default MVA methods to be trained + tested
std::map<std::string,int> Use;
// --- Cut optimisation
Use["Cuts"] = 0;
Use["CutsD"] = 0;
Use["CutsPCA"] = 0;
Use["CutsGA"] = 0;
Use["CutsSA"] = 0;
//
//
// --- Boosted Decision Trees
Use["BDT"] = 1; // uses Adaptive Boost
std::cout << std::endl;
std::cout << "==> Start TMVAClassificationApplication" << std::endl;
// Select methods (don't look at this code - not of interest)
if (myMethodList != "") {
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) it->second = 0;
std::vector<TString> mlist = gTools().SplitString( myMethodList, ',' );
for (UInt_t i=0; i<mlist.size(); i++) {
std::string regMethod(mlist[i]);
if (Use.find(regMethod) == Use.end()) {
std::cout << "Method \"" << regMethod
<< "\" not known in TMVA under this name. Choose among the following:" << std::endl;
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) {
std::cout << it->first << " ";
}
std::cout << std::endl;
return;
}
Use[regMethod] = 1;
}
}
// --------------------------------------------------------------------------------------------------
// --- Create the Reader object
TMVA::Reader *reader = new TMVA::Reader("!Color:!Silent" );
TString weightTail = "_";
weightTail = weightTail + massPoint;
// Create a set of variables and declare them to the reader
// - the variable names MUST corresponds in name and type to those given in the weight file(s) used
Float_t var1, var2, var3, var4, var5, var6, var7, var8, var9, var10, var11, var12, var13, var14, var15, var16, var17, var18;
reader->AddVariable( "svMass", &var1);
reader->AddVariable( "dRTauTau", &var3 );
reader->AddVariable( "dRJJ", &var4 );
// reader->AddVariable( "svPt", &var5 );
// reader->AddVariable( "dRhh", &var6 );
reader->AddVariable( "met", &var7 );
reader->AddVariable( "mJJ", &var8 );
// reader->AddVariable( "metTau1DPhi", &var9 );
// reader->AddVariable( "metTau2DPhi", &var10);
// reader->AddVariable( "metJ1DPhi", &var11);
// reader->AddVariable( "metJ2DPhi", &var12 );
// reader->AddVariable( "metTauPairDPhi", &var13 );
// reader->AddVariable( "metSvTauPairDPhi", &var14 );
// reader->AddVariable( "metJetPairDPhi", &var15 );
// reader->AddVariable( "CSVJ1", &var16 );
// reader->AddVariable( "CSVJ2", &var17 );
reader->AddVariable( "fMassKinFit", &var2 );
reader->AddVariable( "chi2KinFit2", &var18 );
// Spectator variables declared in the training have to be added to the reader, too
// Float_t spec1,spec2;
// reader->AddSpectator( "spec1 := var1*2", &spec1 );
// reader->AddSpectator( "spec2 := var1*3", &spec2 );
// Float_t Category_cat1, Category_cat2, Category_cat3;
// if (Use["Category"]){
// // Add artificial spectators for distinguishing categories
// reader->AddSpectator( "Category_cat1 := var3<=0", &Category_cat1 );
// reader->AddSpectator( "Category_cat2 := (var3>0)&&(var4<0)", &Category_cat2 );
// reader->AddSpectator( "Category_cat3 := (var3>0)&&(var4>=0)", &Category_cat3 );
// }
// --- Book the MVA methods
// Book method(s)
TString weightFileName = "/nfs_scratch/zmao/test/CMSSW_5_3_15/src/TMVA-v4.2.0/test/weights/TMVAClassification_BDT.weights_";
weightFileName += bkgSample;
weightFileName += weightTail;
reader->BookMVA("BDT method", weightFileName+".xml" );
// Book output histograms
UInt_t nbin = 200;
TH1F *histBdt(0);
histBdt = new TH1F( "MVA_BDT", "MVA_BDT", nbin, -1.0, 1.0);
// Prepare input tree (this must be replaced by your data source)
// in this example, there is a toy tree with signal and one with background events
// we'll later on use only the "signal" events for the test in this example.
//
TFile *input(0);
TString fileName = iFileName;
TString fname = sampleLocation;
fname += fileName;
TString oFileName = oFileLocation;
oFileName += "ClassApp_" + bkgSample;
oFileName += "_";
oFileName += fileName;
if (!gSystem->AccessPathName( fname ))
input = TFile::Open(fname); // check if file in local directory exists
if (!input) {
std::cout << "ERROR: could not open data file" << std::endl;
exit(1);
}
std::cout << "--- TMVAClassificationApp : Using input file: " << input->GetName() << std::endl;
// --- Event loop
// Prepare the event tree
// - here the variable names have to corresponds to your tree
// - you can use the same variables as above which is slightly faster,
// but of course you can use different ones and copy the values inside the event loop
//
std::cout << "--- Select signal sample" << std::endl;
TTree* theTree = (TTree*)input->Get("eventTree");
TFile *target = new TFile( oFileName,"RECREATE" );
TTree *newTree = theTree->CloneTree();
Float_t BDT;
TBranch *branchBDT = newTree->Branch("BDT_"+bkgSample,&BDT,"BDT/F");
std::vector<Double_t> *vecVar1;
std::vector<Double_t> *vecVar5;
std::vector<Double_t> *vecVar7;
theTree->SetBranchAddress( "svMass", &vecVar1);
theTree->SetBranchAddress( "dRTauTau", &var3);
theTree->SetBranchAddress( "dRJJ", &var4 );
// theTree->SetBranchAddress( "svPt", &vecVar5 );
// theTree->SetBranchAddress( "dRhh", &var6 );
theTree->SetBranchAddress( "met", &vecVar7 );
theTree->SetBranchAddress( "mJJ", &var8 );
// theTree->SetBranchAddress( "metTau1DPhi", &var9 );
// theTree->SetBranchAddress( "metTau2DPhi", &var10);
// theTree->SetBranchAddress( "metJ1DPhi", &var11);
// theTree->SetBranchAddress( "metJ2DPhi", &var12 );
// theTree->SetBranchAddress( "metTauPairDPhi", &var13 );
// theTree->SetBranchAddress( "metSvTauPairDPhi", &var14 );
// theTree->SetBranchAddress( "metJetPairDPhi", &var15 );
// theTree->SetBranchAddress( "CSVJ1", &var16 );
// theTree->SetBranchAddress( "CSVJ2", &var17 );
theTree->SetBranchAddress( "fMassKinFit", &var2);
theTree->SetBranchAddress( "chi2KinFit2", &var18);
//to get initial pre-processed events
TH1F* cutFlow = (TH1F*)input->Get("preselection");
// Efficiency calculator for cut method
Int_t nSelCutsGA = 0;
Double_t effS = 0.7;
std::vector<Float_t> vecVar(4); // vector for EvaluateMVA tests
std::cout << "--- Processing: " << theTree->GetEntries() << " events" << std::endl;
TStopwatch sw;
sw.Start();
for (Long64_t ievt=0; ievt<theTree->GetEntries();ievt++) {
if (ievt%1000 == 0) std::cout << "--- ... Processing event: " << ievt << std::endl;
theTree->GetEntry(ievt);
var1 = vecVar1->at(0);
// var5 = vecVar5->at(0);
var7 = vecVar7->at(0);
// --- Return the MVA outputs and fill into histograms
if (Use["CutsGA"]) {
// Cuts is a special case: give the desired signal efficienciy
Bool_t passed = reader->EvaluateMVA( "CutsGA method", effS );
if (passed) nSelCutsGA++;
}
BDT = reader->EvaluateMVA( "BDT method");
histBdt->Fill(BDT);
branchBDT->Fill();
}
// Get elapsed time
sw.Stop();
std::cout << "--- End of event loop: "; sw.Print();
// Get efficiency for cuts classifier
if (Use["CutsGA"]) std::cout << "--- Efficiency for CutsGA method: " << double(nSelCutsGA)/theTree->GetEntries()
<< " (for a required signal efficiency of " << effS << ")" << std::endl;
if (Use["CutsGA"]) {
// test: retrieve cuts for particular signal efficiency
// CINT ignores dynamic_casts so we have to use a cuts-secific Reader function to acces the pointer
TMVA::MethodCuts* mcuts = reader->FindCutsMVA( "CutsGA method" ) ;
if (mcuts) {
std::vector<Double_t> cutsMin;
std::vector<Double_t> cutsMax;
mcuts->GetCuts( 0.7, cutsMin, cutsMax );
std::cout << "--- -------------------------------------------------------------" << std::endl;
std::cout << "--- Retrieve cut values for signal efficiency of 0.7 from Reader" << std::endl;
for (UInt_t ivar=0; ivar<cutsMin.size(); ivar++) {
std::cout << "... Cut: "
<< cutsMin[ivar]
<< " < \""
<< mcuts->GetInputVar(ivar)
<< "\" <= "
<< cutsMax[ivar] << std::endl;
}
std::cout << "--- -------------------------------------------------------------" << std::endl;
}
}
// --- Write histograms
histBdt->Write();
cutFlow->Write();
newTree->Write();
target->Close();
std::cout << "--- Created root file: \""<<oFileName<<"\" containing the MVA output histograms" << std::endl;
delete reader;
std::cout << "==> TMVAClassificationApplication is done!" << endl << std::endl;
}
//Arguments: a comma-separated list of energies, a comma-separated list of
//beam heights.
void CollectRuns(string Energies, string Heights){
vector<string> theEnergy;
vector<string> theHeight;
vector<double> valEnergy;
vector<double> valHeight;
string line;
//Get the energies
istringstream ssEn(Energies);
//ssEn << (Energies);
while(getline(ssEn, line, ',')){
theEnergy.push_back(line);
//now cast line to a double:
stringstream ss;
double dummy;
ss << line;
ss >> dummy;
valEnergy.push_back(dummy);
}
//Get the heights
istringstream ssHgt(Heights);
while(getline(ssHgt, line, ',')){
theHeight.push_back(line);
//now cast line to a double:
stringstream ss;
double dummy;
ss << line;
ss >> dummy;
valHeight.push_back(dummy);
}
//Initialise the output tree.
TChain* OutChain = new TChain("ChainResults", "The collected run results");
for(size_t i=0; i<theEnergy.size(); i++){
for(size_t j=0; j<theHeight.size(); j++){
string fname = "Edep_" + theEnergy.at(i) + "MeV_" + theHeight.at(j)
+ "cm.root";
cout << "Processing File: " << fname << "... ";
TFile* infile = TFile::Open(fname.c_str(), "update");
TTree* inTree = (TTree*)infile->Get("Results");
//Clean up any old branches...
//TBranch* OldBranch;
//if(inTree->GetListOfBranches()->FindObject("BeamEn")){
//OldBranch = inTree->GetBranch("BeamEn");
//inTree->GetListOfBranches()->Remove(OldBranch);
//inTree->Write();
//}
//if(inTree->GetListOfBranches()->FindObject("BeamHgt")){
//OldBranch = inTree->GetBranch("BeamHgt");
//inTree->GetListOfBranches()->Remove(OldBranch);
//inTree->Write();
//}
//if(inTree->GetListOfBranches()->FindObject("MeanPE_T1")){
//OldBranch = inTree->GetBranch("MeanPE_T1");
//inTree->GetListOfBranches()->Remove(OldBranch);
//inTree->Write();
//}
//if(inTree->GetListOfBranches()->FindObject("MeanPE_T2")){
//OldBranch = inTree->GetBranch("MeanPE_T2");
//inTree->GetListOfBranches()->Remove(OldBranch);
//inTree->Write();
//}
float BeamEn = 0;
float BeamHgt = 0;
float MeanT1 = 0;
float MeanT2 = 0;
//Add an energy and beam height branch to the tree.
TBranch* EnBranch = inTree->Branch("BeamEn", &BeamEn, "BeamEn/F");
TBranch* HgtBranch = inTree->Branch("BeamHgt", &BeamHgt, "BeamHgt/F");
TBranch* MeanPE_T1 =
inTree->Branch("MeanPE_T1", &MeanT1, "MeanPE_T1/F");
TBranch* MeanPE_T2 =
inTree->Branch("MeanPE_T2", &MeanT2, "MeanPE_T2/F");
unsigned long long int measPE_T1 = 0;
unsigned long long int measPE_T2 = 0;
double Edep_H1 =0;
double Edep_H2 = 0;
inTree->SetBranchAddress("MeasNumPhotons_PMTT1", &measPE_T1);
inTree->SetBranchAddress("MeasNumPhotons_PMTT2", &measPE_T2);
inTree->SetBranchAddress("Edep_H1", &Edep_H1);
inTree->SetBranchAddress("Edep_H2", &Edep_H2);
Long64_t nentries = inTree->GetEntries();
int numAvg = 0;
for(int k = 0; k<nentries; k++){
inTree->GetEntry(k);
//Calculate means
if((Edep_H1!=0)&&(Edep_H2!=0)){
MeanT1 += measPE_T1;
MeanT2 += measPE_T2;
numAvg++;
}
}
MeanT1 = MeanT1/numAvg;
MeanT2 = MeanT2/numAvg;
for(int k = 0; k<nentries; k++){
BeamEn = valEnergy.at(i);
BeamHgt = valHeight.at(j);
EnBranch->Fill();
HgtBranch->Fill();
MeanPE_T1->Fill();
MeanPE_T2->Fill();
}
inTree->Write("", TObject::kOverwrite);
fname = fname + "/Results";
OutChain->Add(fname.c_str());
infile->Close();
cout << "Done!" << endl;
}
}
cout << "OutChain has " << OutChain->GetEntries() << " entries." << endl;
TFile* OutFile = new TFile("ChainedRuns.root", "RECREATE");
OutChain->Write();
OutFile->Close();
return;
}
int mergeDigits(TString digitdir, Int_t /*simEvOffset*/)
{
AliRunLoader *rl = AliRunLoader::Open(digitdir+TString("/galice.root"));
AliPHOSLoader *prl = (AliPHOSLoader*)rl->GetDetectorLoader("PHOS");
prl->LoadDigits("UPDATE");
//prl->LoadDigits();
Int_t nEvents = rl->GetNumberOfEvents();
TClonesArray *mydigits = 0;
simTree->SetBranchAddress("Digits", &mydigits);
Int_t nDigits = 0;
Int_t nEmbedDigits = 0;
Int_t nOverlappingDigits = 0;
Int_t nNewDigits = 0;
Int_t nPhosDigits = prl->Digits()->GetEntries();
Int_t nMyEvents = simTree->GetEntries();
std::cout << "Number of real events: " << nEvents << std::endl;
std::cout << "Number of sim events: " << nMyEvents << std::endl;
nEvents = TMath::Min(nEvents, nMyEvents);
std::cout << "Looping over: " << nEvents << std::endl;
for (Int_t ev = 0; ev < nEvents; ev++)
{
rl->GetEvent(ev);
simTree->GetEntry(ev);
Int_t nMyDigits = mydigits->GetEntries();
//Int_t nDigsFound = 0;
nEmbedDigits += nMyDigits;
TClonesArray *phosDigits = prl->Digits();
nPhosDigits = prl->Digits()->GetEntries();
for (Int_t iDig = 0; iDig < nPhosDigits; iDig++)
{
//const AliPHOSDigit *digit = prl->Digit(iDig);
AliPHOSDigit *digit = (AliPHOSDigit*)phosDigits->At(iDig);
nDigits++;
for (Int_t n = 0; n < nMyDigits; n++)
{
AliPHOSDigit *myDigit = (AliPHOSDigit*)mydigits->At(n);
if (digit->GetId() == myDigit->GetId())
{
nOverlappingDigits++;
break;
}
}
}
if(nOverlappingDigits == nMyDigits)
{
std::cout << "Digits alredy embedded!" << std::endl;
continue;
}
for (Int_t iDig = 0; iDig < nMyDigits; iDig++)
{
AliPHOSDigit *myDigit = (AliPHOSDigit*)mydigits->At(iDig);
if (myDigit)
{
for (Int_t n = 0; n < nPhosDigits; n++)
{
//const AliPHOSDigit *digit = prl->Digit(n);
AliPHOSDigit *digit = (AliPHOSDigit*)phosDigits->At(n);
if (digit->GetId() == myDigit->GetId())
{
digit->SetALTROSamplesHG(0, 0);
digit->SetALTROSamplesLG(0, 0);
*digit += *myDigit;
myDigit = 0;
break;
}
}
if (myDigit)
{
TClonesArray *digArray = prl->Digits();
AliPHOSDigit *newDig = new((*digArray)[nPhosDigits+nNewDigits]) AliPHOSDigit(*myDigit);
newDig->SetALTROSamplesHG(0, 0);
newDig->SetALTROSamplesLG(0, 0);
nNewDigits++;
}
}
}
phosDigits->Compress();
Int_t ndigits = phosDigits->GetEntries() ;
phosDigits->Sort();
// Remove digits that are flagged bad in BCM. Then remove digits that are below threshold
for (Int_t i = 0 ; i < ndigits ; i++)
{
AliPHOSDigit *digit = static_cast<AliPHOSDigit*>( phosDigits->At(i) ) ;
//std::cout << digit->GetId() << std::endl;
if(digit->GetId())
{
vector<Int_t>::iterator it;
it = std::find (badChannels.begin(), badChannels.end(), digit->GetId() );
if(*it)
{
digit->SetEnergy(0.0);
}
}
if(digit->GetEnergy() <= recoParam->GetGlobalAltroThreshold())
{
phosDigits->RemoveAt(i);
}
}
//Set indexes in list of digits and make true digitization of the energy
phosDigits->Compress();
phosDigits->Sort();
ndigits = phosDigits->GetEntries();
for (Int_t i = 0 ; i < ndigits ; i++)
{
AliPHOSDigit *digit = static_cast<AliPHOSDigit*>( phosDigits->At(i) ) ;
digit->SetIndexInList(i) ;
}
// -- create Digits branch
Int_t bufferSize = 32000 ;
TObjArray *branchList = prl->TreeD()->GetListOfBranches();
branchList->RemoveAt(0);
TBranch * digitsBranch = prl->TreeD()->Branch("PHOS","TClonesArray",&phosDigits,bufferSize);
digitsBranch->Fill() ;
prl->WriteDigits("OVERWRITE");
}
prl->WriteDigits("OVERWRITE");
std::cout << "# Digits: " << nDigits << std::endl;
std::cout << "# Embedded digits: " << nEmbedDigits << std::endl;
std::cout << "# Overlapping digits: " << nOverlappingDigits << std::endl;
std::cout << "# New digits: " << nNewDigits << std::endl;
return 0;
}
int weighPthat(TString ifname = "/data/wangj/MC2015/Dntuple/pp/ntD_pp_Dstar_D0kpi/ntD_EvtBase_20160112_Dfinder_20151229_pp_Pythia8D0kpi_noweight.root",
TString ofname = "/afs/cern.ch/work/w/wangj/public/RunII/weighPthat/ntD_EvtBase_20160112_Dfinder_20151229_pp_Pythia8D0kpi_withweight.root")
{
Bool_t isInsidebin(Float_t xpthat, Int_t i);
cout<<endl;
cout<<" -- Checking if input and output files are same"<<endl;
if(ifname==ofname)
{
cout<<" Error: Input file will be overwritten."<<endl;
return 0;
}
cout<<" -- Opening unweighed sample"<<endl;
TFile* inf = TFile::Open(ifname);
TTree* ntHi = (TTree*)inf->Get("ntHi");
Float_t pthat;
ntHi->SetBranchAddress("pthat",&pthat);
Float_t weight[nBins],nweight[nBins];
for(Int_t j=0; j<nBins; j++)
{
weight[j]=0;
nweight[j]=0;
}
Int_t nentries = ntHi->GetEntries();
cout<<" -- Calculating weights"<<endl;
for(Int_t i=0; i<nentries; i++)
{
ntHi->GetEntry(i);
if(i%100000==0) cout<<" Processing event "<<setiosflags(ios::left)<<setw(7)<<i<<" / "<<nentries<<endl;
for(Int_t j=0; j<nBins; j++)
{
if(isInsidebin(pthat,j)) nweight[j]++;
}
}
cout<<" -- Weight results"<<endl;
for(Int_t j=0; j<nBins; j++)
{
if(nweight[j]==0)
{
cout<<" Error: Weight fails."<<endl;
return 0;
}
weight[j] = (crosssec[j]-crosssec[j+1])/nweight[j];
cout<<" Pthat"<<setiosflags(ios::left)<<setw(3)<<pthatBin[j]<<": "<<weight[j]<<endl;
}
cout<<" -- Building weight branch"<<endl;
TFile* otf = TFile::Open(ofname,"update");
TTree* ntHinew = (TTree*)otf->Get("ntHi");
Float_t pthatweight;
TBranch* newBranch = ntHinew->Branch("pthatweight", &pthatweight, "pthatweight/F");
cout<<" -- Filling weight branch"<<endl;
for(Int_t i=0; i<nentries; i++)
{
ntHi->GetEntry(i);
if(i%100000==0) cout<<" Processing event "<<setiosflags(ios::left)<<setw(7)<<i<<" / "<<nentries<<endl;
pthatweight=0;
for(Int_t j=0; j<nBins; j++)
{
if(isInsidebin(pthat,j)) pthatweight = weight[j];
}
newBranch->Fill();
}
ntHinew->Write("", TObject::kOverwrite);
cout<<" -- End"<<endl;
cout<<endl;
return 1;
}
void TMVAClassificationApplication_cc1pcoh_bdt_ver3noveractFFFSI( TString myMethodList = "", TString fname)
{
#ifdef __CINT__
gROOT->ProcessLine( ".O0" ); // turn off optimization in CINT
#endif
//---------------------------------------------------------------
// This loads the library
TMVA::Tools::Instance();
// Default MVA methods to be trained + tested
std::map<std::string,int> Use;
//
// --- Boosted Decision Trees
Use["BDT"] = 1; // uses Adaptive Boost
std::cout << std::endl;
std::cout << "==> Start TMVAClassificationApplication" << std::endl;
// Select methods (don't look at this code - not of interest)
if (myMethodList != "") {
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) it->second = 0;
std::vector<TString> mlist = gTools().SplitString( myMethodList, ',' );
for (UInt_t i=0; i<mlist.size(); i++) {
std::string regMethod(mlist[i]);
if (Use.find(regMethod) == Use.end()) {
std::cout << "Method \"" << regMethod
<< "\" not known in TMVA under this name. Choose among the following:" << std::endl;
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) {
std::cout << it->first << " ";
}
std::cout << std::endl;
return;
}
Use[regMethod] = 1;
}
}
// --------------------------------------------------------------------------------------------------
// --- Create the Reader object
TMVA::Reader *reader = new TMVA::Reader( "!Color:!Silent" );
// Create a set of variables and declare them to the reader
// - the variable names MUST corresponds in name and type to those given in the weight file(s) used
Float_t mumucl, pmucl;
Float_t pang_t, muang_t;
Float_t veract;
Float_t ppe, mupe;
Float_t range, coplanarity;
Float_t opening;//newadd
reader->AddVariable( "mumucl", &mumucl );
reader->AddVariable( "pmucl", &pmucl );
reader->AddVariable( "pang_t", &pang_t );
reader->AddVariable( "muang_t", &muang_t );
//reader->AddVariable( "veract", &veract );
reader->AddVariable( "ppe", &ppe);
reader->AddVariable( "mupe", &mupe);
reader->AddVariable( "range", &range);
reader->AddVariable( "coplanarity", &coplanarity);
reader->AddVariable( "opening", &opening);//newadd
// Spectator variables declared in the training have to be added to the reader, too
Int_t fileIndex, inttype;
Float_t nuE, norm, totcrsne;
reader->AddSpectator( "fileIndex", &fileIndex );
reader->AddSpectator( "nuE", &nuE );
reader->AddSpectator( "inttype", &inttype );
reader->AddSpectator( "norm", &norm );
reader->AddSpectator( "totcrsne", &totcrsne );
reader->AddSpectator( "veract", &veract );
// --- Book the MVA methods
TString dir = "weights/";
TString prefix = "TMVAClassification_ver3noveractFFFSI";//newchange
// Book method(s)
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) {
if (it->second) {
TString methodName = TString(it->first) + TString(" method");
TString weightfile = dir + prefix + TString("_") + TString(it->first) + TString(".weights.xml");
reader->BookMVA( methodName, weightfile );
}
}
// Prepare input tree (this must be replaced by your data source)
// in this example, there is a toy tree with signal and one with background events
// we'll later on use only the "signal" events for the test in this example.
//
//for prange/pang_t corrected and other information included
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/datamc_merged_ccqe_addpidFFnew.root";
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/datamc_genie_merged_ccqe_addpidFFnew.root";
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/mc_merged_ccqe_addpidFFnew.root";
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/mcgenie_merged_ccqe_tot_addpidFFnew.root";
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/merged_ccqe_forResponseFunction.root";
//TString fname = "/home/cvson/scraid2/cc1picoh/FIT/datafsi/pmnue_merged_ccqe_tot_addpidFFnew.root";
std::cout << "--- Selecting data sample" << std::endl;
TFile *pfile = new TFile(fname,"update");
TTree* theTree = (TTree*)pfile->Get("tree");
theTree->SetBranchAddress( "mumucl", &mumucl );
theTree->SetBranchAddress( "pmucl", &pmucl );
theTree->SetBranchAddress( "pang_t", &pang_t );
theTree->SetBranchAddress( "muang_t", &muang_t );
theTree->SetBranchAddress( "veract", &veract );
theTree->SetBranchAddress( "ppe", &ppe);
theTree->SetBranchAddress( "mupe", &mupe);
theTree->SetBranchAddress( "range", &range);
theTree->SetBranchAddress( "coplanarity", &coplanarity);
theTree->SetBranchAddress( "opening", &opening);
Int_t Ntrack;
theTree->SetBranchAddress( "Ntrack", &Ntrack );
Float_t pidfsi;
TBranch *bpidfsi = theTree->Branch("pidfsi",&pidfsi,"pidfsi/F");
std::vector<Float_t> vecVar(9); // vector for EvaluateMVA tests
Long64_t nentries = theTree->GetEntriesFast();
Long64_t iprintProcess = Long64_t(nentries/100.);
std::cout << "--- Processing: " << nentries << " events" << std::endl;
TStopwatch sw;
sw.Start();
for (Long64_t ievt=0; ievt<nentries;ievt++) {
if (ievt%iprintProcess == 0) cout<<"Processing "<<int(ievt*100./nentries)<<"% of events"<<endl;
theTree->GetEntry(ievt);
Float_t pidfsi_tem;
if (Use["BDT"]) {
//if (Ntrack!=2) pidfsi_tem = -999;//changehere
if (Ntrack<2) pidfsi_tem = -999;
else pidfsi_tem = reader->EvaluateMVA("BDT method");
}
pidfsi = pidfsi_tem;
bpidfsi->Fill();
}
theTree->Write();
delete pfile;
// Get elapsed time
sw.Stop();
std::cout << "--- End of event loop: "; sw.Print();
delete reader;
std::cout << "==> TMVAClassificationApplication is done!" << endl << std::endl;
}
void makeJetP4(TString InRootFile, double Rparam=0.5) {
cout << " ... Processing file = " << InRootFile << endl;
cout << " ... Rparam = " << Rparam << endl;
cout << " ................................................................." << endl;
//
// Get tree from a cfA ntuple
//
TFile *f = TFile::Open("../cfA/"+InRootFile, "UPDATE");
TDirectory* dir = f->GetDirectory("configurableAnalysis");
dir->cd();
TTree *eventB = (TTree*)dir->Get("eventB");
//
// set address of variables to read
//
UInt_t event_ = 0;
eventB->SetBranchAddress("event", &event_);
UInt_t run_ = 0;
eventB->SetBranchAddress("run", &run_);
UInt_t lumiblock_ = 0;
eventB->SetBranchAddress("lumiblock", &lumiblock_);
vector<float> *fastjets_AK5PF_px_ = 0;
eventB->SetBranchAddress("jets_AK5PF_px", &fastjets_AK5PF_px_);
vector<float> *fastjets_AK5PF_py_ = 0;
eventB->SetBranchAddress("jets_AK5PF_py", &fastjets_AK5PF_py_);
vector<float> *fastjets_AK5PF_pz_ = 0;
eventB->SetBranchAddress("jets_AK5PF_pz", &fastjets_AK5PF_pz_);
vector<float> *fastjets_AK5PF_energy_ = 0;
eventB->SetBranchAddress("jets_AK5PF_energy", &fastjets_AK5PF_energy_);
vector<float> *fastjets_AK5PF_phi_ = 0;
eventB->SetBranchAddress("jets_AK5PF_phi", &fastjets_AK5PF_phi_);
vector<float> *fastjets_AK5PF_eta_ = 0;
eventB->SetBranchAddress("jets_AK5PF_eta", &fastjets_AK5PF_eta_);
//
// Define new variables to write
//
// need this line because ROOT does not know vector<float>
// one needs to generate dictionary using rootcint or
// just include this line
// [ref] http://root.cern.ch/phpBB3/viewtopic.php?t=8467
gROOT->ProcessLine("#include <vector>");
vector<float> *fastjets_AK5PF_R1p2_px = 0;
TBranch *pxb = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_px",R0p5JetpTcut), &fastjets_AK5PF_R1p2_px);
vector<float> *fastjets_AK5PF_R1p2_py = 0;
TBranch *pyb = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_py",R0p5JetpTcut), &fastjets_AK5PF_R1p2_py);
vector<float> *fastjets_AK5PF_R1p2_pz = 0;
TBranch *pzb = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_pz",R0p5JetpTcut), &fastjets_AK5PF_R1p2_pz);
vector<float> *fastjets_AK5PF_R1p2_energy = 0;
TBranch *energyb = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_energy",R0p5JetpTcut), &fastjets_AK5PF_R1p2_energy);
vector<float> *fastjets_AK5PF_R1p2_phi = 0;
TBranch *phib = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_phi",R0p5JetpTcut), &fastjets_AK5PF_R1p2_phi);
vector<float> *fastjets_AK5PF_R1p2_eta = 0;
TBranch *etab = eventB->Branch(Form("fastjets_AK5PF_R1p2_pT%i_eta",R0p5JetpTcut), &fastjets_AK5PF_R1p2_eta);
//
// Histgrom : to draw eta-phi plot of energy deposit
// (1) Bin size is 0.087x0.087 to mimic the size of hcal tower
// (2) Bin Entry is the sum over energies of PF candidates in a given bin
//
TH2F *h2 = new TH2F("h2","h2", 115, -5.0, 5.0, 72, -3.141592, 3.141592);
//
// Loop over entries
//
Int_t nentries = (Int_t)eventB->GetEntries();
if(DEBUG) nentries = 10;
cout<<"The number of entries is: "<<nentries<<endl;
// main event loop
for(int ib = 0; ib<nentries; ib++) {
// Counting to see progress
if(ib%100==0) cout << " ...... " << ib << " events processed "<< endl;
// get the entry of event ib
eventB->GetEntry(ib);
// ---------------------------------------
// Block 1
// ---------------------------------------
// Open a text file to write information about PF candidates
ofstream fout;
fout.open(Form("OneEvent_FastjetsR0p5_tmp_%i.dat", ib));
// loop over Fastjets with R=0.5
for(int ifastjets = 0; ifastjets < (int)fastjets_AK5PF_px_->size(); ifastjets++) {
if(TMath::Sqrt( fastjets_AK5PF_px_->at(ifastjets)*fastjets_AK5PF_px_->at(ifastjets)
+fastjets_AK5PF_py_->at(ifastjets)*fastjets_AK5PF_py_->at(ifastjets)) < R0p5JetpTcut) continue;
fout.width(15); fout << fastjets_AK5PF_px_->at(ifastjets) << "\t";
fout.width(15); fout << fastjets_AK5PF_py_->at(ifastjets) << "\t";
fout.width(15); fout << fastjets_AK5PF_pz_->at(ifastjets) << "\t";
fout.width(15); fout << fastjets_AK5PF_energy_->at(ifastjets) << endl;
float pt = TMath::Sqrt(fastjets_AK5PF_px_->at(ifastjets)*fastjets_AK5PF_px_->at(ifastjets)
+fastjets_AK5PF_py_->at(ifastjets)*fastjets_AK5PF_py_->at(ifastjets));
h2->Fill( fastjets_AK5PF_eta_->at(ifastjets), fastjets_AK5PF_phi_->at(ifastjets), pt);
}
fout.close();
// ---------------------------------------
// Block 2
// ---------------------------------------
//
// Run Fastjet to reconstuct jets
//
// Using the example code "fastjet_example.cc"
// It takes OneEvent_PFCands_tmp_%i.dat as an input
// and writes p4 of reconstructed jets in OneEvent_PFJets_tmp_%i.dat.
// For the details about the code, take a look at fastjet_example.cc.
gSystem->Exec(Form("../fastjet_example %f < OneEvent_FastjetsR0p5_tmp_%i.dat > OneEvent_FastjetsR1p2_tmp_%i.dat", Rparam, ib, ib));
// ---------------------------------------
// Block 3
// ---------------------------------------
//
// Get p4 of the reconstructed jets
//
string line;
double id, px, py , pz, energy, eta, phi, ncand;
ifstream fin(Form("OneEvent_FastjetsR1p2_tmp_%i.dat", ib));
if(fin.is_open()) {
while(fin.good()){
// get a line from fin
getline(fin, line);
if(line=="") break; // need this to avoid line without entry
// Store each element in the line to the defined variables
stringstream stream(line);
stream >> id >> px >> py >> pz >> energy >> eta >> phi >> ncand;
// store only when pT > 3 GeV
// (same as CMS jet reconstruction cut)
if(TMath::Sqrt(px*px+py*py)>(DEBUG?30:3)) {
fastjets_AK5PF_R1p2_px->push_back(px);
fastjets_AK5PF_R1p2_py->push_back(py);
fastjets_AK5PF_R1p2_pz->push_back(pz);
fastjets_AK5PF_R1p2_energy->push_back(energy);
fastjets_AK5PF_R1p2_eta->push_back(eta);
fastjets_AK5PF_R1p2_phi->push_back(phi);
if(DEBUG) {
cout << event_ << " "
<< id << " "
<< TMath::Sqrt(px*px+py*py) << " "
<< eta << " "
<< phi << " "
<< endl;
}
}
}
}
// Fill the branches
pxb->Fill();
pyb->Fill();
pzb->Fill();
energyb->Fill();
phib->Fill();
etab->Fill();
//
// Draw a lego plot (eta, phi)
//
if(DEBUG) {
TCanvas *c = new TCanvas();
c->cd(1);
h2->Draw("colz");
h2->SetTitle(Form("run=%i lumi=%i event=%i R=%.1f", run_, lumiblock_, event_, Rparam));
h2->SetMaximum(50);
h2->SetStats(0);
h2->SetXTitle("#eta");
h2->SetYTitle("#phi");
//Draw circles around jets
TEllipse *cone[fastjets_AK5PF_R1p2_eta->size()];
for(int ijets=0; ijets<(int)fastjets_AK5PF_R1p2_eta->size(); ijets++){
cone[ijets] = new TEllipse(fastjets_AK5PF_R1p2_eta->at(ijets), fastjets_AK5PF_R1p2_phi->at(ijets), Rparam, Rparam);
cone[ijets]->SetFillStyle(3003);
cone[ijets]->SetFillColor(kYellow);
cone[ijets]->Draw();
}
c->SaveAs(Form("EtaPhiViewPFCand_Run%i_Lumi%i_Event%i_R%.1f_usingR0p5.pdf",
run_, lumiblock_, event_, Rparam));
h2->Reset();
for(int ijets=0; ijets<(int)fastjets_AK5PF_R1p2_eta->size(); ijets++) delete cone[ijets];
}
// Clear vectors for the next event
fastjets_AK5PF_R1p2_px->clear();
fastjets_AK5PF_R1p2_py->clear();
fastjets_AK5PF_R1p2_pz->clear();
fastjets_AK5PF_R1p2_energy->clear();
fastjets_AK5PF_R1p2_eta->clear();
fastjets_AK5PF_R1p2_phi->clear();
// remove text files
if(!DEBUG) gSystem->Exec("'rm' OneEvent_Fastjets*.dat");
} // event loop
// update the tree and close file
if(!DEBUG) eventB->Write();
f->Close();
//
// cleanup
//
delete f;
}
