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ATLAS_2020_I1790256

Lund jet plane with charged particles
Experiment: ATLAS (LHC)
Inspire ID: 1790256
Status: VALIDATED
Authors:
  • Deepak Kar
References: Beams: p+ p+
Beam energies: (6500.0, 6500.0) GeV
Run details:
  • pp -> dijet production at 13 TeV, pTHatMin cut of 200 GeV suggested.

The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139 fb$^{-1}$ of $\sqrt{s}=13$ TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675 GeV. The measurement uses charged particles to achieve a fine angular resolution and is corrected for acceptance and detector effects. Several parton shower Monte Carlo models are compared with the data. No single model is found to be in agreement with the measured data across the entire plane.

Source code: ATLAS_2020_I1790256.cc
  1// -*- C++ -*-
  2#include "Rivet/Analysis.hh"
  3#include "Rivet/Projections/FastJets.hh"
  4#include "Rivet/Projections/VetoedFinalState.hh"
  5#include "Rivet/Projections/ChargedFinalState.hh"
  6#include "fastjet/contrib/LundGenerator.hh"
  7
  8namespace Rivet {
  9
 10
 11  /// @brief Lund jet plane with charged particles
 12  class ATLAS_2020_I1790256: public Analysis {
 13  public:
 14
 15    RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2020_I1790256);
 16
 17
 18    /// @name Analysis methods
 19    /// @{
 20
 21    void init() {
 22
 23      // Projections
 24      FinalState fs(Cuts::abseta < 4.5);
 25      FastJets jet4(fs, JetAlg::ANTIKT, 0.4, JetMuons::NONE, JetInvisibles::NONE);
 26      declare(jet4, "Jets");
 27
 28      ChargedFinalState tracks(Cuts::pT > 0.5*GeV && Cuts::abseta < 2.5);
 29      declare(tracks, "tracks");
 30
 31      book(_h_lundplane, 1,1,1);
 32
 33      _h_vs.resize(13);
 34      for (size_t i = 0; i < _h_vs.size(); ++i) {
 35        book(_h_vs[i] , i+3 , 1, 1);
 36      }
 37
 38      _h_hs.resize(19);
 39      for (size_t i = 0; i < _h_hs.size(); ++i) {
 40        book(_h_hs[i], i+16, 1, 1);
 41      }
 42
 43      book(_njets, "_njets");
 44    }
 45
 46
 47    void analyze(const Event& event) {
 48
 49      const Jets jets = apply<JetFinder>(event, "Jets").jetsByPt(Cuts::pT > 300*GeV && Cuts::abseta < 2.1);
 50
 51      if (jets.size() < 2)  vetoEvent;
 52      if (jets[0].pT() < 675*GeV)  vetoEvent;
 53
 54      if ( (jets[0].pT()/jets[1].pT()) > 1.5 ) vetoEvent;
 55
 56       _njets->fill(2);
 57
 58       const Particles& tracks = apply<ChargedFinalState>(event, "tracks").particlesByPt();
 59
 60       Particles intracks1;
 61       Particles intracks2;
 62
 63       const Jet& j1 = jets[0];
 64       const Jet& j2 = jets[1];
 65
 66
 67      for (const Particle& p : tracks) {
 68        const double dr = deltaR(j1, p, PSEUDORAPIDITY);
 69        if (dr > 0.4) continue;
 70	      if (abs(p.pid()) == 13) continue;
 71        intracks1.push_back(p);
 72      }
 73
 74      for (const Particle& p : tracks) {
 75        const double dr = deltaR(j2, p, PSEUDORAPIDITY);
 76        if (dr > 0.4) continue;
 77        if (abs(p.pid()) == 13) continue;
 78        intracks2.push_back(p);
 79      }
 80
 81      JetDefinition tjet1_def(fastjet::cambridge_algorithm, 10);
 82      ClusterSequence tjet1_cs(intracks1, tjet1_def);
 83      vector<PseudoJet> tjets1 = fastjet::sorted_by_pt(tjet1_cs.inclusive_jets(0.0));
 84
 85      JetDefinition tjet2_def(fastjet::cambridge_algorithm, 10);
 86      ClusterSequence tjet2_cs(intracks2, tjet2_def);
 87      vector<PseudoJet> tjets2 = fastjet::sorted_by_pt(tjet2_cs.inclusive_jets(0.0));
 88
 89      if (tjets1.size() < 1 || tjets2.size() < 1) vetoEvent;
 90
 91      fjcontrib::LundGenerator lund;
 92      vector<fjcontrib::LundDeclustering> declusts1 = lund(tjets1[0]);
 93      for (size_t idecl = 0; idecl < declusts1.size(); ++idecl) {
 94        pair<double,double> coords = declusts1[idecl].lund_coordinates();
 95        double X = -0.9163 + coords.first;
 96        double Y = - log(declusts1[idecl].z());
 97
 98        if (X > 0 && X < 4.33 && Y > log(1/0.5)  && Y < 8.6*log(1/0.5) ){
 99
100          _h_lundplane->fill(X, Y);
101
102          double hdiv = (double)4.33/(double)13;
103          size_t i = floor(X/hdiv);
104          _h_vs[i]->fill(Y);
105
106          double vdiv = (8.6*log(1/0.5) - log(1/0.5))/(double)19;
107          size_t j = floor((Y - log(1/0.5))/vdiv);
108          _h_hs[j]->fill(X);
109
110        }
111      }
112
113      vector<fjcontrib::LundDeclustering> declusts2 = lund(tjets2[0]);
114      for (size_t idecl = 0; idecl < declusts2.size(); ++idecl) {
115        pair<double,double> coords = declusts2[idecl].lund_coordinates();
116
117        double X = -0.9163 + coords.first;
118        double Y = - log(declusts2[idecl].z());
119
120        if (X > 0 && X < 4.33 && Y > log(1/0.5)  && Y < 8.6*log(1/0.5) ) {
121
122          _h_lundplane->fill(X, Y);
123
124          double hdiv = (double)4.33/(double)13;
125          size_t i = floor(X/hdiv);
126          _h_vs[i]->fill(Y);
127
128          double vdiv = (8.6*log(1/0.5) - log(1/0.5))/(double)19;
129          size_t j = floor((Y - log(1/0.5))/vdiv);
130          _h_hs[j]->fill(X);
131        }
132      }
133    }
134
135
136    void finalize() {
137
138      double area = _njets->sumW();
139      if (area > 0) {
140        scale(_h_lundplane, 1/area);
141        scale(_h_vs, 1/(area*0.333));
142        scale(_h_hs, 1/(area*0.277));
143      }
144
145    }
146
147
148  private:
149
150    Histo2DPtr _h_lundplane;
151    vector<Histo1DPtr> _h_vs, _h_hs;
152    CounterPtr _njets;
153
154  };
155
156
157
158  RIVET_DECLARE_PLUGIN(ATLAS_2020_I1790256);
159
160}