[01f457a] | 1 | /*
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| 2 | * Delphes: a framework for fast simulation of a generic collider experiment
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| 3 | * Copyright (C) 2012-2014 Universite catholique de Louvain (UCL), Belgium
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[1fa50c2] | 4 | *
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[01f457a] | 5 | * This program is free software: you can redistribute it and/or modify
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| 6 | * it under the terms of the GNU General Public License as published by
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| 7 | * the Free Software Foundation, either version 3 of the License, or
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| 8 | * (at your option) any later version.
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[1fa50c2] | 9 | *
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[01f457a] | 10 | * This program is distributed in the hope that it will be useful,
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| 11 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 12 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 13 | * GNU General Public License for more details.
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[1fa50c2] | 14 | *
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[01f457a] | 15 | * You should have received a copy of the GNU General Public License
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| 16 | * along with this program. If not, see <http://www.gnu.org/licenses/>.
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| 17 | */
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| 18 |
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[d7d2da3] | 19 |
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| 20 | /** \class FastJetFinder
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| 21 | *
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| 22 | * Finds jets using FastJet library.
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| 23 | *
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| 24 | * \author P. Demin - UCL, Louvain-la-Neuve
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| 25 | *
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| 26 | */
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| 27 |
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| 28 | #include "modules/FastJetFinder.h"
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| 29 |
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| 30 | #include "classes/DelphesClasses.h"
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| 31 | #include "classes/DelphesFactory.h"
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| 32 | #include "classes/DelphesFormula.h"
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| 33 |
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| 34 | #include "ExRootAnalysis/ExRootResult.h"
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| 35 | #include "ExRootAnalysis/ExRootFilter.h"
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| 36 | #include "ExRootAnalysis/ExRootClassifier.h"
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| 37 |
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| 38 | #include "TMath.h"
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| 39 | #include "TString.h"
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| 40 | #include "TFormula.h"
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| 41 | #include "TRandom3.h"
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| 42 | #include "TObjArray.h"
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| 43 | #include "TDatabasePDG.h"
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| 44 | #include "TLorentzVector.h"
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| 45 |
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[8336b6e] | 46 | #include <algorithm>
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[d7d2da3] | 47 | #include <stdexcept>
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| 48 | #include <iostream>
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| 49 | #include <sstream>
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| 50 | #include <vector>
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| 51 |
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| 52 | #include "fastjet/PseudoJet.hh"
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| 53 | #include "fastjet/JetDefinition.hh"
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| 54 | #include "fastjet/ClusterSequence.hh"
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| 55 | #include "fastjet/Selector.hh"
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| 56 | #include "fastjet/ClusterSequenceArea.hh"
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| 57 | #include "fastjet/tools/JetMedianBackgroundEstimator.hh"
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| 58 |
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| 59 | #include "fastjet/plugins/SISCone/fastjet/SISConePlugin.hh"
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| 60 | #include "fastjet/plugins/CDFCones/fastjet/CDFMidPointPlugin.hh"
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| 61 | #include "fastjet/plugins/CDFCones/fastjet/CDFJetCluPlugin.hh"
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| 62 |
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[e4c3fef] | 63 | #include "fastjet/contribs/Nsubjettiness/Nsubjettiness.hh"
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[9687203] | 64 | #include "fastjet/contribs/Nsubjettiness/Njettiness.hh"
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| 65 | #include "fastjet/contribs/Nsubjettiness/NjettinessPlugin.hh"
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| 66 | #include "fastjet/contribs/Nsubjettiness/WinnerTakeAllRecombiner.hh"
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| 67 |
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[d7d2da3] | 68 | using namespace std;
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| 69 | using namespace fastjet;
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[9687203] | 70 | using namespace fastjet::contrib;
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| 71 |
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[d7d2da3] | 72 |
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| 73 | //------------------------------------------------------------------------------
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| 74 |
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| 75 | FastJetFinder::FastJetFinder() :
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[c6321ad] | 76 | fPlugin(0), fRecomb(0), fNjettinessPlugin(0), fDefinition(0), fAreaDefinition(0), fItInputArray(0)
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[d7d2da3] | 77 | {
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| 78 |
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| 79 | }
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| 80 |
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| 81 | //------------------------------------------------------------------------------
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| 82 |
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| 83 | FastJetFinder::~FastJetFinder()
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| 84 | {
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| 85 |
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| 86 | }
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| 87 |
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| 88 | //------------------------------------------------------------------------------
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| 89 |
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| 90 | void FastJetFinder::Init()
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| 91 | {
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[c6321ad] | 92 | JetDefinition::Plugin *plugin = 0;
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| 93 | JetDefinition::Recombiner *recomb = 0;
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[7278220] | 94 | ExRootConfParam param;
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[8336b6e] | 95 | Long_t i, size;
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[7278220] | 96 | Double_t etaMin, etaMax;
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| 97 | TEstimatorStruct estimatorStruct;
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[8336b6e] | 98 |
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[d7d2da3] | 99 | // define algorithm
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| 100 |
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| 101 | fJetAlgorithm = GetInt("JetAlgorithm", 6);
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| 102 | fParameterR = GetDouble("ParameterR", 0.5);
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| 103 |
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| 104 | fConeRadius = GetDouble("ConeRadius", 0.5);
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| 105 | fSeedThreshold = GetDouble("SeedThreshold", 1.0);
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| 106 | fConeAreaFraction = GetDouble("ConeAreaFraction", 1.0);
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| 107 | fMaxIterations = GetInt("MaxIterations", 100);
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| 108 | fMaxPairSize = GetInt("MaxPairSize", 2);
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| 109 | fIratch = GetInt("Iratch", 1);
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[3ccc8586] | 110 | fAdjacencyCut = GetInt("AdjacencyCut", 2);
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[d7d2da3] | 111 | fOverlapThreshold = GetDouble("OverlapThreshold", 0.75);
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| 112 |
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| 113 | fJetPTMin = GetDouble("JetPTMin", 10.0);
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| 114 |
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[9687203] | 115 | //-- N(sub)jettiness parameters --
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[e4c3fef] | 116 |
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[9687203] | 117 | fComputeNsubjettiness = GetBool("ComputeNsubjettiness", false);
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| 118 | fBeta = GetDouble("Beta", 1.0);
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| 119 | fAxisMode = GetInt("AxisMode", 1);
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[e4c3fef] | 120 | fRcutOff = GetDouble("RcutOff", 0.8); // used only if Njettiness is used as jet clustering algo (case 8)
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| 121 | fN = GetInt("N", 2); // used only if Njettiness is used as jet clustering algo (case 8)
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| 122 |
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[d7d2da3] | 123 | // --- Jet Area Parameters ---
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| 124 | fAreaAlgorithm = GetInt("AreaAlgorithm", 0);
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| 125 | fComputeRho = GetBool("ComputeRho", false);
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[e4c3fef] | 126 |
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[d7d2da3] | 127 | // - ghost based areas -
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| 128 | fGhostEtaMax = GetDouble("GhostEtaMax", 5.0);
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| 129 | fRepeat = GetInt("Repeat", 1);
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| 130 | fGhostArea = GetDouble("GhostArea", 0.01);
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| 131 | fGridScatter = GetDouble("GridScatter", 1.0);
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| 132 | fPtScatter = GetDouble("PtScatter", 0.1);
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| 133 | fMeanGhostPt = GetDouble("MeanGhostPt", 1.0E-100);
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[e4c3fef] | 134 |
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[d7d2da3] | 135 | // - voronoi based areas -
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| 136 | fEffectiveRfact = GetDouble("EffectiveRfact", 1.0);
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| 137 |
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| 138 | switch(fAreaAlgorithm)
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| 139 | {
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| 140 | case 1:
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[c6321ad] | 141 | fAreaDefinition = new AreaDefinition(active_area_explicit_ghosts, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
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[d7d2da3] | 142 | break;
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| 143 | case 2:
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[c6321ad] | 144 | fAreaDefinition = new AreaDefinition(one_ghost_passive_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
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[d7d2da3] | 145 | break;
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| 146 | case 3:
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[c6321ad] | 147 | fAreaDefinition = new AreaDefinition(passive_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
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[d7d2da3] | 148 | break;
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| 149 | case 4:
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[c6321ad] | 150 | fAreaDefinition = new AreaDefinition(VoronoiAreaSpec(fEffectiveRfact));
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[d7d2da3] | 151 | break;
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| 152 | case 5:
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[c6321ad] | 153 | fAreaDefinition = new AreaDefinition(active_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
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[d7d2da3] | 154 | break;
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| 155 | default:
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| 156 | case 0:
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| 157 | fAreaDefinition = 0;
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| 158 | break;
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| 159 | }
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| 160 |
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| 161 | switch(fJetAlgorithm)
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| 162 | {
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[8336b6e] | 163 | case 1:
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[c6321ad] | 164 | plugin = new CDFJetCluPlugin(fSeedThreshold, fConeRadius, fAdjacencyCut, fMaxIterations, fIratch, fOverlapThreshold);
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| 165 | fDefinition = new JetDefinition(plugin);
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[d7d2da3] | 166 | break;
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| 167 | case 2:
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[c6321ad] | 168 | plugin = new CDFMidPointPlugin(fSeedThreshold, fConeRadius, fConeAreaFraction, fMaxPairSize, fMaxIterations, fOverlapThreshold);
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| 169 | fDefinition = new JetDefinition(plugin);
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[d7d2da3] | 170 | break;
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| 171 | case 3:
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[c6321ad] | 172 | plugin = new SISConePlugin(fConeRadius, fOverlapThreshold, fMaxIterations, fJetPTMin);
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| 173 | fDefinition = new JetDefinition(plugin);
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[d7d2da3] | 174 | break;
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| 175 | case 4:
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[c6321ad] | 176 | fDefinition = new JetDefinition(kt_algorithm, fParameterR);
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[d7d2da3] | 177 | break;
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| 178 | case 5:
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[c6321ad] | 179 | fDefinition = new JetDefinition(cambridge_algorithm, fParameterR);
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[d7d2da3] | 180 | break;
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| 181 | default:
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| 182 | case 6:
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[c6321ad] | 183 | fDefinition = new JetDefinition(antikt_algorithm, fParameterR);
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[d7d2da3] | 184 | break;
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[9687203] | 185 | case 7:
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[c6321ad] | 186 | recomb = new WinnerTakeAllRecombiner();
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| 187 | fDefinition = new JetDefinition(antikt_algorithm, fParameterR, recomb, Best);
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[9687203] | 188 | break;
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| 189 | case 8:
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[7278220] | 190 | fNjettinessPlugin = new NjettinessPlugin(fN, Njettiness::wta_kt_axes, Njettiness::unnormalized_cutoff_measure, fBeta, fRcutOff);
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| 191 | fDefinition = new JetDefinition(fNjettinessPlugin);
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[9687203] | 192 | break;
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[d7d2da3] | 193 | }
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[8336b6e] | 194 |
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[d7d2da3] | 195 | fPlugin = plugin;
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[9687203] | 196 | fRecomb = recomb;
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[e4c3fef] | 197 |
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[d7d2da3] | 198 | ClusterSequence::print_banner();
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[8336b6e] | 199 |
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[7278220] | 200 | if(fComputeRho && fAreaDefinition)
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| 201 | {
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| 202 | // read eta ranges
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| 203 |
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| 204 | param = GetParam("RhoEtaRange");
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| 205 | size = param.GetSize();
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| 206 |
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| 207 | fEstimators.clear();
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| 208 | for(i = 0; i < size/2; ++i)
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| 209 | {
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| 210 | etaMin = param[i*2].GetDouble();
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| 211 | etaMax = param[i*2 + 1].GetDouble();
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| 212 | estimatorStruct.estimator = new JetMedianBackgroundEstimator(SelectorEtaRange(etaMin, etaMax), *fDefinition, *fAreaDefinition);
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| 213 | estimatorStruct.etaMin = etaMin;
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| 214 | estimatorStruct.etaMax = etaMax;
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| 215 | fEstimators.push_back(estimatorStruct);
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| 216 | }
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| 217 | }
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| 218 |
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[d7d2da3] | 219 | // import input array
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| 220 |
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| 221 | fInputArray = ImportArray(GetString("InputArray", "Calorimeter/towers"));
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| 222 | fItInputArray = fInputArray->MakeIterator();
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| 223 |
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| 224 | // create output arrays
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| 225 |
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| 226 | fOutputArray = ExportArray(GetString("OutputArray", "jets"));
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| 227 | fRhoOutputArray = ExportArray(GetString("RhoOutputArray", "rho"));
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| 228 | }
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| 229 |
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| 230 | //------------------------------------------------------------------------------
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| 231 |
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| 232 | void FastJetFinder::Finish()
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| 233 | {
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[7278220] | 234 | vector< TEstimatorStruct >::iterator itEstimators;
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| 235 |
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| 236 | for(itEstimators = fEstimators.begin(); itEstimators != fEstimators.end(); ++itEstimators)
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| 237 | {
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| 238 | if(itEstimators->estimator) delete itEstimators->estimator;
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| 239 | }
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| 240 |
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[d7d2da3] | 241 | if(fItInputArray) delete fItInputArray;
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| 242 | if(fDefinition) delete fDefinition;
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| 243 | if(fAreaDefinition) delete fAreaDefinition;
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| 244 | if(fPlugin) delete static_cast<JetDefinition::Plugin*>(fPlugin);
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[9687203] | 245 | if(fRecomb) delete static_cast<JetDefinition::Recombiner*>(fRecomb);
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| 246 | if(fNjettinessPlugin) delete static_cast<JetDefinition::Plugin*>(fNjettinessPlugin);
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[d7d2da3] | 247 | }
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| 248 |
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| 249 | //------------------------------------------------------------------------------
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| 250 |
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| 251 | void FastJetFinder::Process()
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| 252 | {
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| 253 | Candidate *candidate, *constituent;
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| 254 | TLorentzVector momentum;
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[df04eb1] | 255 |
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[d7d2da3] | 256 | Double_t deta, dphi, detaMax, dphiMax;
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[df04eb1] | 257 | Double_t time, timeWeight;
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[d7d2da3] | 258 | Int_t number;
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[df04eb1] | 259 | Double_t rho = 0.0;
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[d7d2da3] | 260 | PseudoJet jet, area;
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| 261 | ClusterSequence *sequence;
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[7278220] | 262 | vector< PseudoJet > inputList, outputList;
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| 263 | vector< PseudoJet >::iterator itInputList, itOutputList;
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| 264 | vector< TEstimatorStruct >::iterator itEstimators;
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[d7d2da3] | 265 |
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| 266 | DelphesFactory *factory = GetFactory();
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| 267 |
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| 268 | inputList.clear();
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| 269 |
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| 270 | // loop over input objects
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| 271 | fItInputArray->Reset();
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| 272 | number = 0;
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| 273 | while((candidate = static_cast<Candidate*>(fItInputArray->Next())))
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[8336b6e] | 274 | {
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[d7d2da3] | 275 | momentum = candidate->Momentum;
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| 276 | jet = PseudoJet(momentum.Px(), momentum.Py(), momentum.Pz(), momentum.E());
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| 277 | jet.set_user_index(number);
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| 278 | inputList.push_back(jet);
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| 279 | ++number;
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| 280 | }
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[8336b6e] | 281 |
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| 282 | // construct jets
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[d7d2da3] | 283 | if(fAreaDefinition)
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| 284 | {
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| 285 | sequence = new ClusterSequenceArea(inputList, *fDefinition, *fAreaDefinition);
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| 286 | }
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| 287 | else
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| 288 | {
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| 289 | sequence = new ClusterSequence(inputList, *fDefinition);
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[8336b6e] | 290 | }
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[d7d2da3] | 291 |
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| 292 | // compute rho and store it
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| 293 | if(fComputeRho && fAreaDefinition)
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| 294 | {
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[7278220] | 295 | for(itEstimators = fEstimators.begin(); itEstimators != fEstimators.end(); ++itEstimators)
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[8336b6e] | 296 | {
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[7278220] | 297 | itEstimators->estimator->set_particles(inputList);
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| 298 | rho = itEstimators->estimator->rho();
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[8336b6e] | 299 |
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| 300 | candidate = factory->NewCandidate();
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| 301 | candidate->Momentum.SetPtEtaPhiE(rho, 0.0, 0.0, rho);
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[7278220] | 302 | candidate->Edges[0] = itEstimators->etaMin;
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| 303 | candidate->Edges[1] = itEstimators->etaMax;
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[8336b6e] | 304 | fRhoOutputArray->Add(candidate);
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| 305 | }
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[d7d2da3] | 306 | }
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[8336b6e] | 307 |
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[d7d2da3] | 308 | outputList.clear();
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| 309 | outputList = sorted_by_pt(sequence->inclusive_jets(fJetPTMin));
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| 310 |
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[9687203] | 311 |
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[d7d2da3] | 312 | // loop over all jets and export them
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| 313 | detaMax = 0.0;
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| 314 | dphiMax = 0.0;
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| 315 | for(itOutputList = outputList.begin(); itOutputList != outputList.end(); ++itOutputList)
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| 316 | {
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[d244bc9] | 317 | jet = *itOutputList;
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| 318 | if(fJetAlgorithm == 7) jet = join(jet.constituents());
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[df04eb1] | 319 |
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[d244bc9] | 320 | momentum.SetPxPyPzE(jet.px(), jet.py(), jet.pz(), jet.E());
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[df04eb1] | 321 |
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[d7d2da3] | 322 | area.reset(0.0, 0.0, 0.0, 0.0);
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| 323 | if(fAreaDefinition) area = itOutputList->area_4vector();
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| 324 |
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| 325 | candidate = factory->NewCandidate();
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| 326 |
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[df04eb1] | 327 | time = 0.0;
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| 328 | timeWeight = 0.0;
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[22dc7fd] | 329 |
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[d7d2da3] | 330 | inputList.clear();
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| 331 | inputList = sequence->constituents(*itOutputList);
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[e4c3fef] | 332 |
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[d7d2da3] | 333 | for(itInputList = inputList.begin(); itInputList != inputList.end(); ++itInputList)
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| 334 | {
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| 335 | constituent = static_cast<Candidate*>(fInputArray->At(itInputList->user_index()));
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| 336 |
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| 337 | deta = TMath::Abs(momentum.Eta() - constituent->Momentum.Eta());
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| 338 | dphi = TMath::Abs(momentum.DeltaPhi(constituent->Momentum));
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| 339 | if(deta > detaMax) detaMax = deta;
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| 340 | if(dphi > dphiMax) dphiMax = dphi;
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[e4c3fef] | 341 |
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[22dc7fd] | 342 | time += TMath::Sqrt(constituent->Momentum.E())*(constituent->Position.T());
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[df04eb1] | 343 | timeWeight += TMath::Sqrt(constituent->Momentum.E());
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[e4c3fef] | 344 |
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[d7d2da3] | 345 | candidate->AddCandidate(constituent);
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| 346 | }
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[e4c3fef] | 347 |
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[d7d2da3] | 348 | candidate->Momentum = momentum;
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[df04eb1] | 349 | candidate->Position.SetT(time/timeWeight);
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[d7d2da3] | 350 | candidate->Area.SetPxPyPzE(area.px(), area.py(), area.pz(), area.E());
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| 351 |
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| 352 | candidate->DeltaEta = detaMax;
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| 353 | candidate->DeltaPhi = dphiMax;
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| 354 |
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[9687203] | 355 | // --- compute N-subjettiness with N = 1,2,3,4,5 ----
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[e4c3fef] | 356 |
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[9687203] | 357 | if(fComputeNsubjettiness)
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| 358 | {
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| 359 | Njettiness::AxesMode axisMode;
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[e4c3fef] | 360 |
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| 361 | switch(fAxisMode)
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| 362 | {
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| 363 | default:
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| 364 | case 1:
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| 365 | axisMode = Njettiness::wta_kt_axes;
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| 366 | break;
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| 367 | case 2:
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| 368 | axisMode = Njettiness::onepass_wta_kt_axes;
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| 369 | break;
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| 370 | case 3:
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| 371 | axisMode = Njettiness::kt_axes;
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| 372 | break;
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| 373 | case 4:
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| 374 | axisMode = Njettiness::onepass_kt_axes;
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| 375 | break;
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| 376 | }
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| 377 |
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[9687203] | 378 | Njettiness::MeasureMode measureMode = Njettiness::unnormalized_measure;
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[e4c3fef] | 379 |
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[9687203] | 380 | Nsubjettiness nSub1(1, axisMode, measureMode, fBeta);
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| 381 | Nsubjettiness nSub2(2, axisMode, measureMode, fBeta);
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[e4c3fef] | 382 | Nsubjettiness nSub3(3, axisMode, measureMode, fBeta);
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| 383 | Nsubjettiness nSub4(4, axisMode, measureMode, fBeta);
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| 384 | Nsubjettiness nSub5(5, axisMode, measureMode, fBeta);
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| 385 |
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| 386 | candidate->Tau[0] = nSub1(*itOutputList);
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| 387 | candidate->Tau[1] = nSub2(*itOutputList);
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| 388 | candidate->Tau[2] = nSub3(*itOutputList);
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| 389 | candidate->Tau[3] = nSub4(*itOutputList);
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| 390 | candidate->Tau[4] = nSub5(*itOutputList);
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[9687203] | 391 | }
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| 392 |
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[d7d2da3] | 393 | fOutputArray->Add(candidate);
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| 394 | }
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| 395 | delete sequence;
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| 396 | }
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