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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4 | *
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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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9 | *
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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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14 | *
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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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19 | /** \claCscClusterIdncy
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20 | *
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21 | * Selects candidates from the InputArray according to the efficiency formula.
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22 | *
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23 | * \author P. Demin - UCL, Louvain-la-Neuve
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24 | *
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25 | */
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26 |
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27 | #include "modules/CscClusterId.h"
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28 |
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29 | #include "classes/DelphesClasses.h"
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30 | #include "classes/DelphesFactory.h"
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31 | #include "classes/DelphesCscClusterFormula.h"
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32 |
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33 | #include "ExRootAnalysis/ExRootClassifier.h"
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34 | #include "ExRootAnalysis/ExRootFilter.h"
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35 | #include "ExRootAnalysis/ExRootResult.h"
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36 |
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37 | #include "TDatabasePDG.h"
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38 | #include "TFormula.h"
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39 | #include "TLorentzVector.h"
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40 | #include "TMath.h"
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41 | #include "TObjArray.h"
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42 | #include "TRandom3.h"
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43 | #include "TString.h"
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44 |
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45 | #include <algorithm>
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46 | #include <iostream>
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47 | #include <sstream>
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48 | #include <stdexcept>
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49 |
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50 | using namespace std;
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51 |
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52 | //------------------------------------------------------------------------------
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53 |
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54 | CscClusterId::CscClusterId() :
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55 | fFormula(0), fItInputArray(0)
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56 | {
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57 | fFormula = new DelphesCscClusterFormula;
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58 | }
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59 |
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60 | //------------------------------------------------------------------------------
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61 |
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62 | CscClusterId::~CscClusterId()
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63 | {
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64 | if(fFormula) delete fFormula;
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65 | }
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66 |
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67 | //------------------------------------------------------------------------------
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68 |
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69 | void CscClusterId::Init()
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70 | {
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71 | // read efficiency formula
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72 |
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73 | fFormula->Compile(GetString("EfficiencyFormula", "1.0"));
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74 |
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75 | // import input array
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76 |
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77 | fInputArray = ImportArray(GetString("InputArray", "ParticlePropagator/stableParticles"));
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78 | fItInputArray = fInputArray->MakeIterator();
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79 |
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80 | // create output array
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81 |
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82 | fOutputArray = ExportArray(GetString("OutputArray", "stableParticles"));
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83 | }
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84 |
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85 | //------------------------------------------------------------------------------
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86 |
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87 | void CscClusterId::Finish()
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88 | {
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89 | if(fItInputArray) delete fItInputArray;
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90 | }
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91 |
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92 | //------------------------------------------------------------------------------
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93 |
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94 | void CscClusterId::Process()
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95 | {
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96 | Candidate *candidate;
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97 | Double_t Ehad, Eem, decayR, decayZ, NStationEff, eta, eta_cut;
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98 | Int_t avgStation;
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99 | Double_t signPz, cosTheta;
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100 |
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101 | fItInputArray->Reset();
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102 | while((candidate = static_cast<Candidate *>(fItInputArray->Next())))
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103 | {
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104 | const TLorentzVector &momentum = candidate->Momentum;
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105 | const TLorentzVector &candidateDecayPosition = candidate->DecayPosition;
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106 | decayZ = abs(candidateDecayPosition.Z());
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107 | decayR = sqrt(pow(candidateDecayPosition.X(),2)+pow(candidateDecayPosition.Y(),2));
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108 | Ehad = candidate->Ehad;
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109 | Eem = candidate->Eem;
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110 |
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111 | cosTheta = TMath::Abs(momentum.CosTheta());
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112 | signPz = (momentum.Pz() >= 0.0) ? 1.0 : -1.0;
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113 | eta = (cosTheta == 1.0 ? signPz * 999.9 : momentum.Eta());
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114 |
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115 | NStationEff = fFormula->Eval(decayR, decayZ, Ehad);
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116 |
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117 | // assign average station for the cluster
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118 | if (decayZ < 6320) avgStation = 1;
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119 | else if (decayZ < 7240 && decayR > 2750)avgStation = 1;
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120 | else if (decayZ < 8500) avgStation = 2;
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121 | else if (decayZ < 9700) avgStation = 3;
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122 | else avgStation = 4;
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123 |
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124 | // if NStation == 1, different eta cut is applied
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125 | if (avgStation == 1) eta_cut = 1.8;
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126 | else if (avgStation == 2) eta_cut = 1.6;
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127 | else if (avgStation == 3) eta_cut = 1.6;
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128 | else if (avgStation == 4) eta_cut = 1.8;
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129 | if(gRandom->Uniform() > NStationEff*(abs(eta)<1.9)+(1.0-NStationEff)*(abs(eta)<eta_cut)) continue;
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130 |
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131 | fOutputArray->Add(candidate);
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132 | }
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133 | }
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134 |
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135 | //------------------------------------------------------------------------------
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