| 1 | /** \class VertexFinder
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| 2 | *
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| 3 | * Cluster vertices from tracks
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| 4 | *
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| 5 | * \authors A. Hart, M. Selvaggi
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| 6 | *
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| 7 | */
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| 8 |
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| 9 | #include "modules/VertexFinder.h"
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| 10 | #include "classes/DelphesClasses.h"
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| 11 | #include "classes/DelphesFactory.h"
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| 12 | #include "classes/DelphesFormula.h"
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| 13 | #include "classes/DelphesPileUpReader.h"
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| 14 |
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| 15 | #include "ExRootAnalysis/ExRootClassifier.h"
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| 16 | #include "ExRootAnalysis/ExRootFilter.h"
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| 17 | #include "ExRootAnalysis/ExRootResult.h"
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| 18 |
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| 19 | #include "TDatabasePDG.h"
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| 20 | #include "TFormula.h"
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| 21 | #include "TLorentzVector.h"
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| 22 | #include "TMath.h"
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| 23 | #include "TMatrixT.h"
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| 24 | #include "TObjArray.h"
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| 25 | #include "TRandom3.h"
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| 26 | #include "TString.h"
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| 27 | #include "TVector3.h"
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| 28 |
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| 29 | #include <algorithm>
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| 30 | #include <iostream>
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| 31 | #include <map>
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| 32 | #include <stdexcept>
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| 33 | #include <string>
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| 34 | #include <utility>
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| 35 | #include <vector>
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| 36 |
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| 37 | using namespace std;
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| 38 |
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| 39 | static const Double_t mm = 1.;
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| 40 | static const Double_t m = 1000. * mm;
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| 41 | static const Double_t ns = 1.;
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| 42 | static const Double_t s = 1.e+9 * ns;
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| 43 | static const Double_t c_light = 2.99792458e+8 * m / s;
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| 44 |
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| 45 | //------------------------------------------------------------------------------
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| 46 |
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| 47 | VertexFinder::VertexFinder() :
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| 48 | fSigma(0), fMinPT(0), fMaxEta(0), fSeedMinPT(0), fMinNDF(0), fGrowSeeds(0)
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| 49 | {
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| 50 | }
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| 51 |
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| 52 | //------------------------------------------------------------------------------
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| 53 |
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| 54 | VertexFinder::~VertexFinder()
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| 55 | {
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| 56 | }
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| 57 |
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| 58 | //------------------------------------------------------------------------------
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| 59 |
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| 60 | void VertexFinder::Init()
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| 61 | {
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| 62 | fSigma = GetDouble("Sigma", 3.0);
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| 63 | fMinPT = GetDouble("MinPT", 0.1);
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| 64 | fMaxEta = GetDouble("MaxEta", 10.0);
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| 65 | fSeedMinPT = GetDouble("SeedMinPT", 5.0);
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| 66 | fMinNDF = GetInt("MinNDF", 4);
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| 67 | fGrowSeeds = GetInt("GrowSeeds", 1);
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| 68 |
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| 69 | fInputArray = ImportArray(GetString("InputArray", "TrackSmearing/tracks"));
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| 70 | fItInputArray = fInputArray->MakeIterator();
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| 71 |
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| 72 | fOutputArray = ExportArray(GetString("OutputArray", "tracks"));
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| 73 | fVertexOutputArray = ExportArray(GetString("VertexOutputArray", "vertices"));
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| 74 | }
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| 75 |
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| 76 | //------------------------------------------------------------------------------
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| 77 |
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| 78 | void VertexFinder::Finish()
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| 79 | {
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| 80 | if(fItInputArray) delete fItInputArray;
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| 81 | }
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| 82 |
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| 83 | //------------------------------------------------------------------------------
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| 84 |
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| 85 | static Bool_t secondAscending(pair<UInt_t, Double_t> pair0, pair<UInt_t, Double_t> pair1)
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| 86 | {
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| 87 | return (pair0.second < pair1.second);
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| 88 | }
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| 89 |
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| 90 | static Bool_t secondDescending(pair<UInt_t, Double_t> pair0, pair<UInt_t, Double_t> pair1)
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| 91 | {
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| 92 | return (pair0.second > pair1.second);
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| 93 | }
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| 94 |
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| 95 | //------------------------------------------------------------------------------
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| 96 |
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| 97 | void VertexFinder::Process()
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| 98 | {
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| 99 | Candidate *candidate;
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| 100 |
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| 101 | // Clear the track and cluster maps before starting
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| 102 | trackIDToDouble.clear();
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| 103 | trackIDToInt.clear();
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| 104 | trackIDToBool.clear();
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| 105 | clusterIDToDouble.clear();
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| 106 | clusterIDToInt.clear();
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| 107 | clusterIDToBool.clear();
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| 108 | trackPT.clear();
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| 109 | clusterSumPT2.clear();
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| 110 |
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| 111 | // Create the initial cluster seeds
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| 112 | createSeeds();
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| 113 |
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| 114 | // In order of descending seed pt, grow each cluster. If a cluster ends up with
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| 115 | // fewer than MinNDF tracks, release the tracks for other clusters to claim.
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| 116 | sort(clusterSumPT2.begin(), clusterSumPT2.end(), secondDescending);
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| 117 | for(vector<pair<UInt_t, Double_t> >::const_iterator cluster = clusterSumPT2.begin(); cluster != clusterSumPT2.end(); cluster++)
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| 118 | {
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| 119 | // Skip the cluster if it no longer has any tracks
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| 120 | if(!clusterIDToInt.at(cluster->first).at("ndf"))
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| 121 | continue;
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| 122 |
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| 123 | // Grow the cluster if GrowSeeds is true
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| 124 | if(fGrowSeeds)
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| 125 | growCluster(cluster->first);
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| 126 |
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| 127 | // If the cluster still has fewer than MinNDF tracks, release the tracks;
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| 128 | // otherwise, mark the seed track as claimed
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| 129 |
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| 130 | if((Int_t)clusterIDToInt.at(cluster->first).at("ndf") < fMinNDF)
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| 131 | {
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| 132 | for(map<UInt_t, map<string, Int_t> >::iterator track = trackIDToInt.begin(); track != trackIDToInt.end(); track++)
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| 133 | {
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| 134 | if(track->second.at("clusterIndex") != (Int_t)cluster->first)
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| 135 | continue;
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| 136 | track->second["clusterIndex"] = -1;
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| 137 | trackIDToBool[track->first]["claimed"] = false;
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| 138 | }
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| 139 | }
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| 140 | else
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| 141 | trackIDToBool[clusterIDToInt.at(cluster->first).at("seed")]["claimed"] = true;
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| 142 | }
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| 143 |
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| 144 | // Add tracks to the output array after updating their ClusterIndex.
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| 145 | fItInputArray->Reset();
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| 146 | while((candidate = static_cast<Candidate *>(fItInputArray->Next())))
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| 147 | {
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| 148 | if(candidate->Momentum.Pt() < fMinPT || fabs(candidate->Momentum.Eta()) > fMaxEta)
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| 149 | continue;
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| 150 | candidate->ClusterIndex = trackIDToInt.at(candidate->GetUniqueID()).at("clusterIndex");
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| 151 | fOutputArray->Add(candidate);
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| 152 | }
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| 153 |
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| 154 | // Add clusters with at least MinNDF tracks to the output array in order of
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| 155 | // descending sum(pt**2).
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| 156 | clusterSumPT2.clear();
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| 157 | for(map<UInt_t, map<string, Int_t> >::const_iterator cluster = clusterIDToInt.begin(); cluster != clusterIDToInt.end(); cluster++)
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| 158 | {
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| 159 |
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| 160 | if(cluster->second.at("ndf") < fMinNDF)
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| 161 | continue;
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| 162 | clusterSumPT2.push_back(make_pair(cluster->first, clusterIDToDouble.at(cluster->first).at("sumPT2")));
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| 163 | }
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| 164 | sort(clusterSumPT2.begin(), clusterSumPT2.end(), secondDescending);
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| 165 |
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| 166 | for(vector<pair<UInt_t, Double_t> >::const_iterator cluster = clusterSumPT2.begin(); cluster != clusterSumPT2.end(); cluster++)
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| 167 | {
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| 168 | DelphesFactory *factory = GetFactory();
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| 169 | candidate = factory->NewCandidate();
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| 170 |
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| 171 | candidate->ClusterIndex = cluster->first;
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| 172 | candidate->ClusterNDF = clusterIDToInt.at(cluster->first).at("ndf");
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| 173 | candidate->ClusterSigma = fSigma;
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| 174 | candidate->SumPT2 = cluster->second;
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| 175 | candidate->Position.SetXYZT(0.0, 0.0, clusterIDToDouble.at(cluster->first).at("z"), 0.0);
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| 176 | candidate->PositionError.SetXYZT(0.0, 0.0, clusterIDToDouble.at(cluster->first).at("ez"), 0.0);
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| 177 |
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| 178 | fVertexOutputArray->Add(candidate);
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| 179 | }
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| 180 | }
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| 181 |
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| 182 | //------------------------------------------------------------------------------
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| 183 |
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| 184 | void VertexFinder::createSeeds()
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| 185 | {
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| 186 | Candidate *candidate;
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| 187 | UInt_t clusterIndex = 0, maxSeeds = 0;
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| 188 |
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| 189 | // Loop over all tracks, initializing some variables.
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| 190 | fItInputArray->Reset();
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| 191 | while((candidate = static_cast<Candidate *>(fItInputArray->Next())))
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| 192 | {
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| 193 | if(candidate->Momentum.Pt() < fMinPT || fabs(candidate->Momentum.Eta()) > fMaxEta)
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| 194 | continue;
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| 195 |
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| 196 | trackIDToDouble[candidate->GetUniqueID()]["pt"] = candidate->Momentum.Pt();
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| 197 | trackIDToDouble[candidate->GetUniqueID()]["ept"] = candidate->ErrorPT ? candidate->ErrorPT : 1.0e-15;
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| 198 | ;
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| 199 | trackIDToDouble[candidate->GetUniqueID()]["eta"] = candidate->Momentum.Eta();
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| 200 |
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| 201 | trackIDToDouble[candidate->GetUniqueID()]["z"] = candidate->DZ;
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| 202 | trackIDToDouble[candidate->GetUniqueID()]["ez"] = candidate->ErrorDZ ? candidate->ErrorDZ : 1.0e-15;
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| 203 |
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| 204 | trackIDToInt[candidate->GetUniqueID()]["clusterIndex"] = -1;
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| 205 | trackIDToInt[candidate->GetUniqueID()]["interactionIndex"] = candidate->IsPU;
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| 206 |
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| 207 | trackIDToBool[candidate->GetUniqueID()]["claimed"] = false;
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| 208 |
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| 209 | trackPT.push_back(make_pair(candidate->GetUniqueID(), candidate->Momentum.Pt()));
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| 210 | }
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| 211 |
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| 212 | // Sort tracks by pt and leave only the SeedMinPT highest pt ones in the
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| 213 | // trackPT vector.
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| 214 | sort(trackPT.begin(), trackPT.end(), secondDescending);
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| 215 | for(vector<pair<UInt_t, Double_t> >::const_iterator track = trackPT.begin(); track != trackPT.end(); track++, maxSeeds++)
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| 216 | {
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| 217 | if(track->second < fSeedMinPT)
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| 218 | break;
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| 219 | }
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| 220 | // If there are no tracks with pt above MinSeedPT, create just one seed from
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| 221 | // the highest pt track.
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| 222 | if(!maxSeeds)
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| 223 | maxSeeds++;
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| 224 | if(trackPT.size() > maxSeeds)
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| 225 | {
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| 226 | trackPT.erase(trackPT.begin() + maxSeeds, trackPT.end());
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| 227 | }
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| 228 |
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| 229 | // Create the seeds from the SeedMinPT highest pt tracks.
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| 230 | for(vector<pair<UInt_t, Double_t> >::const_iterator track = trackPT.begin(); track != trackPT.end(); track++, clusterIndex++)
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| 231 | {
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| 232 | addTrackToCluster(track->first, clusterIndex);
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| 233 | clusterSumPT2.push_back(make_pair(clusterIndex, track->second * track->second));
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| 234 | }
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| 235 | }
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| 236 |
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| 237 | //------------------------------------------------------------------------------
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| 238 |
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| 239 | void VertexFinder::growCluster(const UInt_t clusterIndex)
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| 240 | {
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| 241 | Bool_t done = false;
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| 242 | UInt_t nearestID;
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| 243 | Int_t oldClusterIndex;
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| 244 | Double_t nearestDistance;
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| 245 | vector<UInt_t> nearTracks;
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| 246 | nearTracks.clear();
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| 247 |
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| 248 | // Grow the cluster until there are no more tracks within Sigma standard
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| 249 | // deviations of the cluster.
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| 250 | while(!done)
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| 251 | {
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| 252 | done = true;
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| 253 | nearestID = 0;
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| 254 | nearestDistance = -1.0;
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| 255 |
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| 256 | // These two loops are for finding the nearest track to the cluster. The
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| 257 | // first time, the ID of each track within 10*Sigma of the cluster is
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| 258 | // saved in the nearTracks vector; subsequently, to save time, only the
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| 259 | // tracks in this vector are checked.
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| 260 | if(!nearTracks.size())
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| 261 | {
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| 262 |
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| 263 | for(map<UInt_t, map<string, Double_t> >::const_iterator track = trackIDToDouble.begin(); track != trackIDToDouble.end(); track++)
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| 264 | {
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| 265 | if(trackIDToBool.at(track->first).at("claimed") || trackIDToInt.at(track->first).at("clusterIndex") == (Int_t)clusterIndex)
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| 266 | continue;
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| 267 |
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| 268 | Double_t distance = fabs(clusterIDToDouble.at(clusterIndex).at("z") - track->second.at("z")) / hypot(clusterIDToDouble.at(clusterIndex).at("ez"), track->second.at("ez"));
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| 269 | if(nearestDistance < 0.0 || distance < nearestDistance)
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| 270 | {
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| 271 | nearestID = track->first;
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| 272 | nearestDistance = distance;
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| 273 | }
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| 274 | if(distance < 10.0 * fSigma)
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| 275 | nearTracks.push_back(track->first);
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| 276 | }
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| 277 | }
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| 278 |
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| 279 | else
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| 280 | {
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| 281 | for(vector<UInt_t>::const_iterator track = nearTracks.begin(); track != nearTracks.end(); track++)
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| 282 | {
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| 283 | if(trackIDToBool.at(*track).at("claimed") || trackIDToInt.at(*track).at("clusterIndex") == (Int_t)clusterIndex)
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| 284 | continue;
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| 285 | Double_t distance = fabs(clusterIDToDouble.at(clusterIndex).at("z") - trackIDToDouble.at(*track).at("z")) / hypot(clusterIDToDouble.at(clusterIndex).at("ez"), trackIDToDouble.at(*track).at("ez"));
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| 286 | if(nearestDistance < 0.0 || distance < nearestDistance)
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| 287 | {
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| 288 | nearestID = *track;
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| 289 | nearestDistance = distance;
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| 290 | }
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| 291 | }
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| 292 | }
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| 293 |
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| 294 | // If no tracks within Sigma of the cluster were found, stop growing.
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| 295 | done = nearestDistance > fSigma || nearestDistance < 0.0;
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| 296 | if(done)
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| 297 | {
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| 298 | continue;
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| 299 | }
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| 300 |
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| 301 | // Add the nearest track within Sigma to the cluster. If it already
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| 302 | // belonged to another cluster, remove it from that cluster first.
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| 303 | if(nearestDistance < fSigma)
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| 304 | {
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| 305 | oldClusterIndex = trackIDToInt.at(nearestID).at("clusterIndex");
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| 306 | if(oldClusterIndex >= 0)
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| 307 | removeTrackFromCluster(nearestID, oldClusterIndex);
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| 308 |
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| 309 | trackIDToBool[nearestID]["claimed"] = true;
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| 310 | addTrackToCluster(nearestID, clusterIndex);
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| 311 | }
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| 312 | }
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| 313 | }
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| 314 |
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| 315 | //------------------------------------------------------------------------------
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| 316 |
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| 317 | Double_t VertexFinder::weight(const UInt_t trackID)
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| 318 | {
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| 319 | return ((trackIDToDouble.at(trackID).at("pt") / (trackIDToDouble.at(trackID).at("ept") * trackIDToDouble.at(trackID).at("ez"))) * (trackIDToDouble.at(trackID).at("pt") / (trackIDToDouble.at(trackID).at("ept") * trackIDToDouble.at(trackID).at("ez"))));
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| 320 | }
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| 321 |
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| 322 | //------------------------------------------------------------------------------
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| 323 |
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| 324 | void VertexFinder::removeTrackFromCluster(const UInt_t trackID, const UInt_t clusterID)
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| 325 | {
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| 326 | Double_t wz = weight(trackID);
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| 327 |
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| 328 | trackIDToInt[trackID]["clusterIndex"] = -1;
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| 329 | clusterIDToInt[clusterID]["ndf"]--;
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| 330 |
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| 331 | clusterIDToDouble[clusterID]["sumZ"] -= wz * trackIDToDouble.at(trackID).at("z");
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| 332 | clusterIDToDouble[clusterID]["errorSumZ"] -= wz * trackIDToDouble.at(trackID).at("ez") * trackIDToDouble.at(trackID).at("ez");
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| 333 | clusterIDToDouble[clusterID]["sumOfWeightsZ"] -= wz;
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| 334 | clusterIDToDouble[clusterID]["z"] = clusterIDToDouble.at(clusterID).at("sumZ") / clusterIDToDouble.at(clusterID).at("sumOfWeightsZ");
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| 335 | clusterIDToDouble[clusterID]["ez"] = sqrt((1.0 / clusterIDToInt.at(clusterID).at("ndf")) * (clusterIDToDouble.at(clusterID).at("errorSumZ") / clusterIDToDouble.at(clusterID).at("sumOfWeightsZ")));
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| 336 | clusterIDToDouble[clusterID]["sumPT2"] -= trackIDToDouble.at(trackID).at("pt") * trackIDToDouble.at(trackID).at("pt");
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| 337 | }
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| 338 |
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| 339 | //------------------------------------------------------------------------------
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| 340 |
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| 341 | void VertexFinder::addTrackToCluster(const UInt_t trackID, const UInt_t clusterID)
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| 342 | {
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| 343 | Double_t wz = weight(trackID);
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| 344 |
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| 345 | if(!clusterIDToInt.count(clusterID))
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| 346 | {
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| 347 | clusterIDToInt[clusterID]["ndf"] = 0;
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| 348 | clusterIDToInt[clusterID]["seed"] = trackID;
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| 349 | clusterIDToDouble[clusterID]["sumZ"] = 0.0;
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| 350 | clusterIDToDouble[clusterID]["errorSumZ"] = 0.0;
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| 351 | clusterIDToDouble[clusterID]["sumOfWeightsZ"] = 0.0;
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| 352 | clusterIDToDouble[clusterID]["sumPT2"] = 0.0;
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| 353 | }
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| 354 |
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| 355 | trackIDToInt[trackID]["clusterIndex"] = clusterID;
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| 356 | clusterIDToInt[clusterID]["ndf"]++;
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| 357 |
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| 358 | clusterIDToDouble[clusterID]["sumZ"] += wz * trackIDToDouble.at(trackID).at("z");
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| 359 | clusterIDToDouble[clusterID]["errorSumZ"] += wz * trackIDToDouble.at(trackID).at("ez") * trackIDToDouble.at(trackID).at("ez");
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| 360 | clusterIDToDouble[clusterID]["sumOfWeightsZ"] += wz;
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| 361 | clusterIDToDouble[clusterID]["z"] = clusterIDToDouble.at(clusterID).at("sumZ") / clusterIDToDouble.at(clusterID).at("sumOfWeightsZ");
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| 362 | clusterIDToDouble[clusterID]["ez"] = sqrt((1.0 / clusterIDToInt.at(clusterID).at("ndf")) * (clusterIDToDouble.at(clusterID).at("errorSumZ") / clusterIDToDouble.at(clusterID).at("sumOfWeightsZ")));
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| 363 | clusterIDToDouble[clusterID]["sumPT2"] += trackIDToDouble.at(trackID).at("pt") * trackIDToDouble.at(trackID).at("pt");
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| 364 | }
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| 365 |
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| 366 | //------------------------------------------------------------------------------
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