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//now make the source file
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#include <algorithm>
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#include <iostream>
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#include <fstream>
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#include <vector>
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#include "TChain.h"
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#include "TChainElement.h"
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#include "TFile.h"
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#include "TH1.h"
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#include "TH2.h"
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#include "Math/LorentzVector.h"
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#include "TMath.h"
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#include "TStopwatch.h"
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#include <algorithm>
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#include <set>
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#include "TCanvas.h"
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#include "TRegexp.h"
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#include "TLorentzVector.h"
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#include "RooDataSet.h"
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#include "RooRealVar.h"
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#include "RooCategory.h"
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using namespace std;
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#ifndef __CINT__
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#include "../CORE/CMS2.cc"
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#include "../CORE/utilities.cc"
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#include "../CORE/selections.cc"
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#include "../Tools/tools.cc"
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#endif
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TH1F*hypos_total;
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TH1F* hypos_total_weighted;
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enum Sample {WW, WZ, ZZ, Wjets, DY, DYee, DYmm, DYtt, ttbar, tW, qcd, LM0x, LM1x, LM2x, LM3x, LM4x, LM5x, LM6x, LM7x, LM8x, LM9x}; // signal samples
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enum Hypothesis {MM, EM, EE, ALL}; // hypothesis types (em and me counted as same) and all
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// filter events by process
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bool filterByProcess( enum Sample sample ) {
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switch (sample) {
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case DYee:
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return isDYee();
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case DYmm:
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return isDYmm();
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case DYtt:
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return isDYtt();
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case WW:
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return isWW();
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case WZ:
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return isWZ();
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case ZZ:
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return isZZ();
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default:
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return true;
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}
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}
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bool isIdentified( enum Sample sample ) {
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switch (sample) {
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case DYee:
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case DYmm:
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case DYtt:
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return getDrellYanType()!=999;
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case WW:
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case WZ:
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case ZZ:
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return getVVType()!=999;
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default:
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return true;
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}
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}
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// filter candidates by hypothesis
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Hypothesis filterByHypothesis( int candidate ) {
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switch (candidate) {
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case 0:
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return MM;
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case 1: case 2:
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return EM;
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case 3:
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return EE;
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}
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cout << "Unknown type: " << candidate << "Abort" << endl;
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assert(0);
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return MM;
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}
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// Book histograms...
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// Naming Convention:
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// Prefix comes from the sample and it is passed to the scanning function
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// Suffix is "ee" "em" "em" "all" which depends on the final state
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// For example: histogram named tt_hnJet_ee would be the Njet distribution
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// for the ee final state in the ttbar sample.
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// MAKE SURE TO CAL SUMW2 FOR EACH 1D HISTOGRAM BEFORE FILLING!!!!!!
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TTree *outTree_ ;
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// AY set up variables to put in flat ntuple
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Int_t event_;
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Float_t weight_;
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Float_t tcMET_;
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Float_t blMET_;
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Float_t eta_ ;
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Float_t phi_ ;
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Float_t pt_ ;
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Float_t pterr_ ;
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Float_t d0_ ;
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Float_t d0err_ ;
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Float_t z0_ ;
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Float_t z0err_ ;
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Float_t chi2_ ;
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Float_t etag_ ;
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Float_t phig_ ;
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Float_t ptg_ ;
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Float_t d0g_ ;
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Int_t algog_ ;
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Int_t valdhg_ ;
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Int_t highpg_ ;
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Int_t algo_ ;
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Int_t losth_ ;
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Int_t valdh_ ;
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Int_t qmask_ ;
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Int_t ndof_ ;
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Int_t loose_ ;
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Int_t tight_ ;
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Int_t highp_ ;
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vector<ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<double> > > calo_jetsp4;
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struct hypo_monitor{
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std::vector<std::pair<std::string,unsigned int> > counters;
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void count(unsigned int index, const char* name){
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unsigned int current_size = counters.size();
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for ( unsigned int i=current_size; i<=index; ++i )
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counters.push_back( std::pair<std::string,unsigned int>("",0) );
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counters[index].first = name;
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counters[index].second++;
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}
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void print(){
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for ( unsigned int i=0; i<counters.size(); ++i )
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std::cout << counters[i].first << "\t" << counters[i].second << std::endl;
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}
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};
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hypo_monitor monitor;
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void hypo (int i_hyp, double kFactor, RooDataSet* dataset = 0)
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{
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unsigned int icounter(0);
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monitor.count(icounter++,"Total number of hypothesis: ");
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// Require Trigger:
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// if ( ! passTriggersMu9orLisoE15( cms2.hyp_type()[i_hyp] ) ) return;
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// if (! GoodSusyTrigger( cms2.hyp_type()[i_hyp] ) ) return;
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monitor.count(icounter++,"Total number of hypothesis after trigger requirements: ");
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monitor.count(icounter++,"Total number of hypothesis after adding jet cuts: ");
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// if ( additionalZvetoSUSY09(i_hyp)) return;
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monitor.count(icounter++,"Total number of hypothesis after adding additionalZvetoSUSY09 cut: ");
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// -------------------------------------------------------------------//
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// If we made it to here, we passed all cuts and we are ready to fill //
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// -------------------------------------------------------------------//
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// Fill the distribution
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}//end of void hypo
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RooDataSet* MakeNewDataset(const char* name)
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{
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RooRealVar set_iso("iso","iso",0.,1.);
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RooRealVar set_event("event","event",0);
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RooRealVar set_run("run","run",0);
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RooRealVar set_lumi("lumi","lumi",0);
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RooRealVar set_weight("weight","weight",0);
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RooCategory set_selected("selected","Passed final WW selection requirements");
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set_selected.defineType("true",1);
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set_selected.defineType("false",0);
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RooCategory set_hyp_type("hyp_type","Hypothesis type");
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set_hyp_type.defineType("ee",0);
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set_hyp_type.defineType("mm",1);
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set_hyp_type.defineType("em",2);
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RooCategory set_fake_type("fake_type","Define type of lepton for which isolation is extracted");
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set_fake_type.defineType("electron",0);
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set_fake_type.defineType("muon",1);
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RooCategory set_sample_type("sample_type","Sample type");
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set_sample_type.defineType("data_relaxed_iso",0); // full sample with final selection
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set_sample_type.defineType("control_sample_signal_iso",1);
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RooDataSet* dataset = new RooDataSet(name, name,
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RooArgSet(set_event,set_run,set_lumi,
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set_iso,set_selected,set_weight,
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set_hyp_type,set_fake_type,set_sample_type) );
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dataset->setWeightVar(set_weight);
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return dataset;
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}
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void AddIsoSignalControlSample( int i_hyp, double kFactor, RooDataSet* dataset = 0 ) {
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if ( !dataset ) return;
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// The event weight including the kFactor (scaled to 1 fb-1)
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float weight = cms2.evt_scale1fb() * kFactor;
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// Cut on lepton Pt
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if (cms2.hyp_lt_p4()[i_hyp].pt() < 20.0) return;
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if (cms2.hyp_ll_p4()[i_hyp].pt() < 20.0) return;
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// Require opposite sign
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if ( cms2.hyp_lt_id()[i_hyp] * cms2.hyp_ll_id()[i_hyp] > 0 ) return;
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// Z mass veto using hyp_leptons for ee and mumu final states
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if ( cms2.hyp_type()[i_hyp] == 1 || cms2.hyp_type()[i_hyp] == 2 ) return;
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if (! inZmassWindow(cms2.hyp_p4()[i_hyp].mass())) return;
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RooArgSet set( *(dataset->get()) );
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set.setCatIndex("selected",0);
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set.setRealValue("event",cms2.evt_event());
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set.setRealValue("run",cms2.evt_run());
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set.setRealValue("lumi",cms2.evt_lumiBlock());
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set.setCatLabel("sample_type","control_sample_signal_iso");
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if ( cms2.hyp_type()[i_hyp] == 3 ){
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set.setCatLabel("hyp_type","ee");
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set.setCatLabel("fake_type","electron");
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if ( goodElectronIsolated(cms2.hyp_lt_index()[i_hyp],true) &&
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goodElectronWithoutIsolation(cms2.hyp_ll_index()[i_hyp]) ){
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set.setRealValue("iso",el_rel_iso(cms2.hyp_ll_index()[i_hyp],true));
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dataset->add(set,weight);
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}
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if ( goodElectronIsolated(cms2.hyp_ll_index()[i_hyp],true) &&
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goodElectronWithoutIsolation(cms2.hyp_lt_index()[i_hyp]) ){
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set.setRealValue("iso",el_rel_iso(cms2.hyp_lt_index()[i_hyp],true));
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dataset->add(set,weight);
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}
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} else {
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set.setCatLabel("hyp_type","mm");
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set.setCatLabel("fake_type","muon");
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if ( goodMuonIsolated(cms2.hyp_lt_index()[i_hyp]) &&
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goodMuonWithoutIsolation(cms2.hyp_ll_index()[i_hyp]) ){
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set.setRealValue("iso",mu_rel_iso(cms2.hyp_ll_index()[i_hyp]));
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dataset->add(set,weight);
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}
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if ( goodMuonIsolated(cms2.hyp_ll_index()[i_hyp]) &&
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goodMuonWithoutIsolation(cms2.hyp_lt_index()[i_hyp]) ){
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set.setRealValue("iso",mu_rel_iso(cms2.hyp_lt_index()[i_hyp]));
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dataset->add(set,weight);
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}
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}
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}
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RooDataSet* ScanChain( TChain* chain, enum Sample sample, bool identifyEvents ) {
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unsigned int nEventsChain = chain->GetEntries(); // number of entries in chain --> number of events from all files
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unsigned int nEventsTotal = 0;
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// const unsigned int numHypTypes = 4; // number of hypotheses: MM, EM, EE, ALL
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// declare and create array of histograms
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// const char sample_names[][1024] = { "ww", "wz", "zz", "wjets", "dyee", "dymm", "dytt", "ttbar", "tw", "lm0x", "lm1x", "lm2x", "lm3x", "lm4x", "lm5x", "lm6x", "lm7x", "lm8x", "lm9x" };
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const char sample_names[][1024] = { "ww", "wz", "zz", "wjets", "dy", "dyee", "dymm", "dytt", "ttbar", "tw", "qcd", "lm0x", "lm1x", "lm2x", "lm3x", "lm4x", "lm5x", "lm6x", "lm7x", "lm8x", "lm9x"};
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const char *prefix = sample_names[sample];
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RooDataSet* dataset = MakeNewDataset(sample_names[sample]);
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double kFactor = 1; // 1fb-1
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// double kFactor = .1; // 1fb-1
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// switch (sample) {
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// case WW:
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// evt_scale1fb = 0.1538;
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// break;
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// default:
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// break;
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char *jetbins[5] = {"0", "1", "2", "3", "#geq 4"};
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char *suffix[3];
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suffix[0] = "ee";
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suffix[1] = "mm";
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suffix[2] = "em";
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suffix[3] = "all";
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| 299 |
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| 300 |
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// set up flat ntuple file:
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std::string prefixStr = prefix;
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| 303 |
std::string fileName = prefixStr + "_FlatTree.root";
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| 304 |
TFile *outFile_ = new TFile(fileName.c_str(), "RECREATE");
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| 305 |
outFile_->cd();
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| 306 |
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| 307 |
// set up tree
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| 308 |
outTree_ = new TTree("T1", "Tree");
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| 309 |
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| 310 |
// book the branches
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| 311 |
outTree_->Branch("event", &event_, "event/I");
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| 312 |
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| 313 |
outTree_->Branch("algo", &algo_, "algo/I");
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| 314 |
outTree_->Branch("losth", &losth_, "losth/I");
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| 315 |
outTree_->Branch("valdh", &valdh_, "valdh/I");
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| 316 |
outTree_->Branch("qmask", &qmask_, "qmask/I");
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| 317 |
outTree_->Branch("ndof", &ndof_, "ndof/I");
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| 318 |
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| 319 |
outTree_->Branch("qls", &loose_, "qls/I");
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| 320 |
outTree_->Branch("qtt", &tight_, "qtt/I");
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| 321 |
outTree_->Branch("qhp", &highp_, "qhp/I");
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| 322 |
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| 323 |
outTree_->Branch("wgt", &weight_, "wgt/F");
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| 324 |
outTree_->Branch("tcmet", &tcMET_, "tcmet/F");
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| 325 |
outTree_->Branch("blmet", &blMET_, "blmet/F");
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| 326 |
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| 327 |
outTree_->Branch("eta", &eta_, "eta/F");
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| 328 |
outTree_->Branch("phi", &phi_, "phi/F");
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| 329 |
outTree_->Branch("pt", &pt_, "pt/F");
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| 330 |
outTree_->Branch("d0", &d0_, "d0/F");
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| 331 |
outTree_->Branch("z0", &z0_, "z0/F");
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| 332 |
outTree_->Branch("chi2", &chi2_, "chi2/F");
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| 333 |
outTree_->Branch("d0err", &d0err_, "d0err/F");
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| 334 |
outTree_->Branch("pterr", &pterr_, "pterr/F");
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| 335 |
outTree_->Branch("z0err", &z0err_, "z0err/F");
|
| 336 |
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| 337 |
outTree_->Branch("algog", &algog_, "algog/I");
|
| 338 |
outTree_->Branch("etag", &etag_, "etag/F");
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| 339 |
outTree_->Branch("phig", &phig_, "phig/F");
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| 340 |
outTree_->Branch("ptg", &ptg_, "ptg/F");
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| 341 |
outTree_->Branch("d0g", &d0g_, "d0g/F");
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| 342 |
outTree_->Branch("valdhg", &valdhg_, "valdhg/I");
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| 343 |
outTree_->Branch("qhpg", &highpg_, "qhpg/I");
|
| 344 |
|
| 345 |
|
| 346 |
// The statement below should work but does not work due to bug in root when TH2 are also used
|
| 347 |
// Rene Brun promised a fix.
|
| 348 |
//TH1::SetDefaultSumw2(kTRUE); // do errors properly based on weights
|
| 349 |
|
| 350 |
// clear list of duplicates
|
| 351 |
already_seen.clear();
|
| 352 |
int duplicates_total_n = 0;
|
| 353 |
double duplicates_total_weight = 0;
|
| 354 |
int nFailedIdentification = 0;
|
| 355 |
int nFilteredOut = 0;
|
| 356 |
int i_permille_old = 0;
|
| 357 |
// file loop
|
| 358 |
TObjArray *listOfFiles = chain->GetListOfFiles();
|
| 359 |
TIter fileIter(listOfFiles);
|
| 360 |
monitor.counters.clear();
|
| 361 |
|
| 362 |
while (TChainElement *currentFile = (TChainElement*)fileIter.Next()) {
|
| 363 |
// need to call TFile::Open(), since the file is not
|
| 364 |
// necessarily a plain TFile (TNetFile, TDcacheFile, etc)
|
| 365 |
// printf("current file: %s (%s), %s\n", currentFile->GetName(),
|
| 366 |
// currentFile->GetTitle(), currentFile->IsA()->GetName());
|
| 367 |
|
| 368 |
TFile *f = TFile::Open(currentFile->GetTitle());
|
| 369 |
assert(f);
|
| 370 |
TTree *tree = (TTree*)f->Get("Events");
|
| 371 |
|
| 372 |
cms2.Init(tree); // set branch addresses for TTree tree
|
| 373 |
|
| 374 |
TStopwatch t;
|
| 375 |
//Event Loop
|
| 376 |
|
| 377 |
unsigned int nEvents = tree->GetEntries();
|
| 378 |
for( unsigned int event = 0; event < nEvents; ++event) {
|
| 379 |
cms2.GetEntry(event); // get entries for Event number event from branches of TTree tree
|
| 380 |
++nEventsTotal;
|
| 381 |
// Loops
|
| 382 |
if (cms2.trks_d0().size() == 0)
|
| 383 |
continue;
|
| 384 |
|
| 385 |
DorkyEventIdentifier id(cms2);
|
| 386 |
|
| 387 |
if (is_duplicate(id)) {
|
| 388 |
duplicates_total_n++;
|
| 389 |
duplicates_total_weight += cms2.evt_scale1fb();
|
| 390 |
// cout << "Duplicate event found. Run: " << cms2.evt_run() << ", Event:" << cms2.evt_event() << ", Lumi: " << cms2.evt_lumiBlock() << endl;
|
| 391 |
continue;
|
| 392 |
}
|
| 393 |
// Jmu counter:
|
| 394 |
|
| 395 |
int i_permille = (int)floor(1000 * nEventsTotal / float(nEventsChain));
|
| 396 |
if (i_permille != i_permille_old) {
|
| 397 |
// xterm magic from L. Vacavant and A. Cerri
|
| 398 |
printf("\015\033[32m ---> \033[1m\033[31m%4.1f%%"
|
| 399 |
"\033[0m\033[32m <---\033[0m\015", i_permille/10.);
|
| 400 |
fflush(stdout);
|
| 401 |
i_permille_old = i_permille;
|
| 402 |
}
|
| 403 |
|
| 404 |
if ( identifyEvents ){
|
| 405 |
// check if we know what we are looking at
|
| 406 |
if ( ! isIdentified(sample) ) nFailedIdentification++;
|
| 407 |
|
| 408 |
// filter by process
|
| 409 |
if ( ! filterByProcess(sample) ) {
|
| 410 |
nFilteredOut++;
|
| 411 |
continue;
|
| 412 |
}
|
| 413 |
}
|
| 414 |
|
| 415 |
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
| 416 |
// CRAP
|
| 417 |
// if (event != 5159 ) continue;
|
| 418 |
//|| event != 29156 || event != 50028) continue;
|
| 419 |
// cout << "top of loop " << event << endl;
|
| 420 |
if (event > 100000) continue ;
|
| 421 |
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// The event weight including the kFactor (scaled to 1 fb-1)
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float weight = cms2.evt_scale1fb() * kFactor / 10; //AY set to a 100 picoBarn
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// filling of flat ntuple entries...
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for (int i = 0; i < cms2.trks_trk_p4().size(); ++i)
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{
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eta_ = cms2.trks_trk_p4()[i].Eta() ;
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phi_ = cms2.trks_trk_p4()[i].Phi() ;
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pt_ = cms2.trks_trk_p4()[i].Pt();
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pterr_ = cms2.trks_ptErr()[i];
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d0_ = cms2.trks_d0corr()[i] ;
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d0err_ = cms2.trks_d0Err()[i] ;
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z0_ = cms2.trks_z0()[i] ;
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z0err_ = cms2.trks_z0Err()[i] ;
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chi2_ = cms2.trks_chi2()[i] / cms2.trks_ndof()[i] ;
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algo_ = cms2.trks_algo()[i]-4 ;
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losth_ = cms2.trks_lostHits()[i] ;
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valdh_ = cms2.trks_validHits()[i] ;
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qmask_ = cms2.trks_qualityMask()[i] ;
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ndof_ = cms2.trks_ndof()[i] ;
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// qual cuts:
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loose_ = isTrackQuality( i, (1<<loose) );
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tight_ = isTrackQuality( i, (1<<tight) );
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highp_ = isTrackQuality( i, (1<<highPurity) );
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weight_ = weight;
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event_ = event;
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tcMET_ = cms2.evt_tcmet();
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blMET_ = cms2.evt_metMuonJESCorr();
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// look for gohst:
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if (cms2.trks_trk_p4()[i].Pt() < 2.0) continue; // dont bother with tracks bellow 2 GeV
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float detamin = 0.05;
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float dphimin = 0.05 ;
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int indtkmin = -1;
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for (int j = i+1; j<cms2.trks_trk_p4().size() ; ++j)
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{
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float dpt = fabs(cms2.trks_trk_p4()[i].Pt() - cms2.trks_trk_p4()[j].Pt()) ;
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float deta = fabs(cms2.trks_trk_p4()[i].Eta() - cms2.trks_trk_p4()[j].Eta()) ;
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float dphi = acos(cos( cms2.trks_trk_p4()[i].Phi()- cms2.trks_trk_p4()[j].Phi())) ;
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if ( dpt/cms2.trks_trk_p4()[i].Pt() > 0.2) continue; // dpt/pt<0.2
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if (deta > detamin) continue;
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if (dphi < dphimin) {
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dphimin = dphi;
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indtkmin = j;
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/*
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cout << " found a gohst track " << event << endl;
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cout << " pt="<< cms2.trks_trk_p4()[i].Pt() << " deta " << deta << " dphi " << dphi << " dpt " << dpt << endl;
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cout << "valid hits " << valdh_ << " gohst hits " << cms2.trks_validHits()[j] << endl ;
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cout << "trk algo " << algo_ << " gohst algo " << cms2.trks_algo()[j]-4 << endl ;
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*/
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}
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}
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if (indtkmin>=0) {
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etag_ = cms2.trks_trk_p4()[indtkmin].Eta() ;
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phig_ = cms2.trks_trk_p4()[indtkmin].Phi() ;
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ptg_ = cms2.trks_trk_p4()[indtkmin].Pt();
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algog_ = cms2.trks_algo()[indtkmin]-4 ;
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valdhg_ = cms2.trks_validHits()[indtkmin] ;
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d0g_ = cms2.trks_d0corr()[indtkmin] ;
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highpg_ = isTrackQuality( indtkmin, (1<<highPurity) );
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} else {
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valdhg_ = 0;
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etag_ = 0;
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phig_ = 0;
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ptg_ = 0;
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}
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// Fill Flat tree:
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outTree_->Fill();
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} // end of loopp over tracks
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}//end event loop
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}
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monitor.print();
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if ( nEventsChain != nEventsTotal ) {
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printf("ERROR: number of events from files (%d) is not equal to total number"
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" of events (%d)\n", nEventsChain, nEventsTotal);
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}
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/*
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printf("Total number of skipped events due to bad identification: %d (%0.0f %%)\n",
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nFailedIdentification, nFailedIdentification*100.0/(nEventsChain+1e-5));
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printf("Total number of filtered out events: %d (%0.0f %%)\n",
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nFilteredOut, nFilteredOut*100.0/(nEventsChain+1e-5));
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printf("Total candidate count (ee mm em all): %.0f %.0f %.0f %0.f.\n",
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hypos_total->GetBinContent(1), hypos_total->GetBinContent(2),
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hypos_total->GetBinContent(3), hypos_total->GetBinContent(4));
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printf("Total weighted candidate yield (ee mm em all): %f %f %f %f\n",
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hypos_total_weighted->GetBinContent(1), hypos_total_weighted->GetBinContent(2),
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hypos_total_weighted->GetBinContent(3), hypos_total_weighted->GetBinContent(4));
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*/
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// Save tree
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outFile_->cd();
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outTree_->Write();
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outFile_->Close();
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delete outFile_;
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// ofstream outf;
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// outf.open("susy_eventcounts.txt", ios::app);
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// outf<<"|" << prefix << "|" << nEventsTotal << endl;
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// outf.close();
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return dataset;
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}
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|
