Rivet analyses

kT splittings in Z events at 8 TeV

Experiment: ATLAS (LHC)

Inspire ID: 1589844

Status: VALIDATED

Authors: - Christian Gutschow - Frank Siegert

References: - Expt page: ATLAS-STDM-2015-14 - arXiv: 1704.01530 - submitted to JHEP

Beams: p+ p+

Beam energies: (4000.0, 4000.0)GeV

Run details: - pp → Z( → ee/μμ)+ jets at 8 TeV

A measurement of the splitting scales occurring in the kt jet-clustering algorithm is presented for final states containing a Z boson. The measurement is done using 20.2 fb−1 of proton-proton collision data collected at a centre-of-mass energy of $\sqrt{s} = 8$ TeV by the ATLAS experiment at the LHC in 2012. The measurement is based on charged-particle track information, which is measured with excellent precision in the pT region relevant for the transition between the perturbative and the non-perturbative regimes. The data distributions are corrected for detector effects, and are found to deviate from state-of-the-art predictions in various regions of the observables. If no mode specified, will try to fill both electron and muon plots. If EL or MU is specified, only the relevant plots will be filled.

Source code:ATLAS_2017_I1589844.cc

// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/LeptonFinder.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/ChargedFinalState.hh"

namespace Rivet {


  /// kT splittings in Z events at 8 TeV
  class ATLAS_2017_I1589844 : public Analysis {
  public:

    /// @name Constructors etc.
    /// @{

    /// Constructors
    ATLAS_2017_I1589844(const string name="ATLAS_2017_I1589844",
                        const string ref_data="ATLAS_2017_I1589844") : Analysis(name) {
      setRefDataName(ref_data);
    }

    /// @}


    /// @name Analysis methods
    /// @{

    /// Book histograms and initialise projections before the run
    void init() {

      // Get options from the new option system
      _mode = 0;
      if ( getOption("LMODE") == "EL" ) _mode = 1;
      if ( getOption("LMODE") == "MU" ) _mode = 2;

      Cut cuts_mu = (Cuts::pT > 25*GeV) && (Cuts::abseta < 2.4);
      Cut cuts_el = Cuts::pT > 25*GeV && (Cuts::abseta <= 1.37 || (Cuts::abseta >= 1.52 && Cuts::abseta < 2.47));

      FinalState fs;
      IdentifiedFinalState bare_mu(fs);
      bare_mu.acceptIdPair(PID::MUON);
      IdentifiedFinalState bare_el(fs);
      bare_el.acceptIdPair(PID::ELECTRON);
      LeptonFinder muons(bare_mu, fs, 0.1, cuts_mu);
      LeptonFinder elecs(bare_el, fs, 0.1, cuts_el);
      declare(muons, "muons");
      declare(elecs, "elecs");

      ChargedFinalState cfs(Cuts::abseta < 2.5 && Cuts::pT > 0.4*GeV);
      VetoedFinalState jet_fs(cfs);
      jet_fs.addVetoOnThisFinalState(muons);
      jet_fs.addVetoOnThisFinalState(elecs);
      declare(FastJets(jet_fs, JetAlg::KT, 0.4), "Kt04Jets");
      declare(FastJets(jet_fs, JetAlg::KT, 1.0), "Kt10Jets");

      VetoedFinalState jet_fs_all(FinalState(Cuts::abseta < 2.5 && Cuts::pT > 0.4*GeV));
      jet_fs_all.addVetoOnThisFinalState(muons);
      jet_fs_all.addVetoOnThisFinalState(elecs);
      FastJets jetpro04_all(jet_fs_all, JetAlg::KT, 0.4);
      jetpro04_all.useInvisibles();
      declare(jetpro04_all, "Kt04Jets_all");
      FastJets jetpro10_all(jet_fs_all, JetAlg::KT, 1.0);
      jetpro10_all.useInvisibles();
      declare(jetpro10_all, "Kt10Jets_all");

      // Histograms with data binning
      _ndij = 8;
      for (size_t i = 0; i < _ndij; ++i) {
        if (_mode == 0 || _mode == 1) {
          string label = "el_d" + to_str(i) + "_kT4";
          book(_h[label], i + 1, 1, 1);
          book(_h[label + "_all"], i + 1, 1, 5);
          label = "el_d" + to_str(i) + "_kT10";
          book(_h[label], i + 1, 1, 3);
          book(_h[label + "_all"], i + 1, 1, 7);
        }
        if (_mode == 0 || _mode == 2) {
          string label = "mu_d" + to_str(i) + "_kT4";
          book(_h[label], i + 1, 1, 2);
          book(_h[label + "_all"], i + 1, 1, 6);
          label = "mu_d" + to_str(i) + "_kT10";
          book(_h[label], i + 1, 1, 4);
          book(_h[label + "_all"], i + 1, 1, 8);
        }
      }
    }


    /// Perform the per-event analysis
    void analyze(const Event& e) {

      // Check we have a Z candidate:
      const DressedLeptons& muons = apply<LeptonFinder>(e, "muons").dressedLeptons();
      const DressedLeptons& elecs = apply<LeptonFinder>(e, "elecs").dressedLeptons();

      bool e_ok = elecs.size() == 2 && muons.empty();
      bool m_ok = elecs.empty() && muons.size() == 2;
      if (_mode == 0 && !e_ok && !m_ok) vetoEvent;
      if (_mode == 1 && !e_ok )  vetoEvent;
      if (_mode == 2 && !m_ok )  vetoEvent;

      string lep_type = elecs.size()? "el_" : "mu_";

      const DressedLeptons& leptons = elecs.size()? elecs : muons;
      if (leptons[0].charge()*leptons[1].charge() > 0) vetoEvent;

      const double dilepton_mass = (leptons[0].momentum() + leptons[1].momentum()).mass();
      if (!inRange(dilepton_mass, 71*GeV, 111*GeV)) vetoEvent;

      // Get kT splitting scales (charged particles only)
      const FastJets& jetpro04 = apply<FastJets>(e, "Kt04Jets");
      const shared_ptr<fastjet::ClusterSequence> seq04 = jetpro04.clusterSeq();
      for (size_t i = 0; i < min(_ndij, (size_t)seq04->n_particles()); ++i) {
        const double dij = sqrt(seq04->exclusive_dmerge_max(i))/GeV;
        if (dij <= 0.0) continue;
        const string label = lep_type + "d" + to_str(i) + "_kT4";
        _h[label]->fill(dij);
      }
      const FastJets& jetpro10 = apply<FastJets>(e, "Kt10Jets");
      const shared_ptr<fastjet::ClusterSequence> seq10 = jetpro10.clusterSeq();
      for (size_t i = 0; i < min(_ndij, (size_t)seq10->n_particles()); ++i) {
        const double dij = sqrt(seq10->exclusive_dmerge_max(i))/GeV;
        if (dij <= 0.0) continue;
        const string label = lep_type + "d" + to_str(i) + "_kT10";
        _h[label]->fill(dij);
      }

      // Get kT splitting scales (all particles)
      const FastJets& jetpro04_all = apply<FastJets>(e, "Kt04Jets_all");
      const shared_ptr<fastjet::ClusterSequence> seq04_all = jetpro04_all.clusterSeq();
      for (size_t i = 0; i < min(_ndij, (size_t)seq04_all->n_particles()); ++i) {
        const double dij = sqrt(seq04_all->exclusive_dmerge_max(i))/GeV;
        if (dij <= 0.0) continue;
        const string label = lep_type + "d" + to_str(i) + "_kT4_all";
        _h[label]->fill(dij);
      }
      const FastJets& jetpro10_all = apply<FastJets>(e, "Kt10Jets_all");
      const shared_ptr<fastjet::ClusterSequence> seq10_all = jetpro10_all.clusterSeq();
      for (size_t i = 0; i < min(_ndij, (size_t)seq10_all->n_particles()); ++i) {
        const double dij = sqrt(seq10_all->exclusive_dmerge_max(i))/GeV;
        if (dij <= 0.0) continue;
        const string label = lep_type + "d" + to_str(i) + "_kT10_all";
        _h[label]->fill(dij);
      }

    }


    /// Normalise histograms etc., after the run
    void finalize() {
      const double sf = crossSectionPerEvent();
      for (auto& kv : _h) scale(kv.second, sf);
    }

    /// @}


  protected:

    // Data members like post-cuts event weight counters go here
    size_t _mode, _ndij;


  private:

    // Histograms
    map<string, Histo1DPtr> _h;

  };


  RIVET_DECLARE_PLUGIN(ATLAS_2017_I1589844);

}