Rivet analyses

dileptonic ttbar at 13 TeV

Experiment: ATLAS (LHC)

Inspire ID: 1759875

Status: VALIDATED

Authors: - Richard Hawkings

References: - Expt page: ATLAS-TOPQ-2018-17 - Eur.Phys.J.C 80 (2020) 6, 528

Beams: p+ p+

Beam energies: (6500.0, 6500.0)GeV

Run details: - dileptonic top-quark pair production

The inclusive top quark pair (t) production cross-section σt has been measured in proton-proton collisions at $\sqrt{s}=13$ TeV, using 36.1 fb−1 of data collected in 2015-2016 by the ATLAS experiment at the LHC. Using events with an opposite-charge eμ pair and b-tagged jets, the cross-section is measured to be: σt = 826.4 ± 3.6 (stat) ±11.5 (syst) ±15.7 (lumi) ±1.9 (beam) pb, where the uncertainties reflect the limited size of the data sample, experimental and theoretical systematic effects, the integrated luminosity, and the LHC beam energy, giving a total uncertainty of 2.4%. The result is consistent with theoretical QCD calculations at next-to-next-to-leading order. It is used to determine the top quark pole mass via the dependence of the predicted cross-section on mtpole, giving mtpole = 173.1−2.1+2.0 GeV. It is also combined with measurements at $\sqrt{s}=7$ TeV and $\sqrt{s}=8$ TeV to derive ratios and double ratios of t and Z cross-sections at different energies. The same event sample is used to measure absolute and normalised differential cross-sections as functions of single-lepton and dilepton kinematic variables, and the results are compared with predictions from various Monte Carlo event generators.

Source code:ATLAS_2019_I1759875.cc

#include "Rivet/Analysis.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/LeptonFinder.hh"

namespace Rivet {


  /// @brief Lepton differential ttbar analysis at 13 TeV
  class ATLAS_2019_I1759875 : public Analysis {
  public:

    RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2019_I1759875);

    void init() {

      Cut eta_full = Cuts::abseta < 5.0 && Cuts::pT > 1.0*MeV;

      // Get photons to dress leptons
      PromptFinalState photons(Cuts::pid == PID::PHOTON);

      // Projection to find the electrons
      PromptFinalState prompt_el(Cuts::abspid == PID::ELECTRON, TauDecaysAs::PROMPT);
      LeptonFinder elecs(prompt_el, photons, 0.1, Cuts::abseta < 2.5 && Cuts::pT > 20*GeV);
      LeptonFinder veto_elecs(prompt_el, photons, 0.1, eta_full);
      declare(elecs, "elecs");

      // Projection to find the muons
      PromptFinalState prompt_mu(Cuts::abspid == PID::MUON, TauDecaysAs::PROMPT);
      LeptonFinder muons(prompt_mu, photons, 0.1, Cuts::abseta < 2.5 && Cuts::pT > 20*GeV);
      LeptonFinder veto_muons(prompt_mu, photons, 0.1, eta_full);
      declare(muons, "muons");

      VetoedFinalState vfs;
      vfs.addVetoOnThisFinalState(veto_elecs);
      vfs.addVetoOnThisFinalState(veto_muons);

      // Book histograms
      bookHistos("lep_pt",       1);
      bookHistos("lep_eta",      3);
      bookHistos("dilep_pt",     5);
      bookHistos("dilep_mass",   7);
      bookHistos("dilep_rap",    9);
      bookHistos("dilep_dphi",  11);
      bookHistos("dilep_sumpt", 13);
      bookHistos("dilep_sumE",  15);

      // unrolled 2D distributions - 2nd-dim bin edges must be specified
      std::vector<double> massbins={0.,80.,120.,200.,500.};

      bookHisto2D("lep_eta_mass",17,massbins);
      bookHisto2D("dilep_rap_mass",19,massbins);
      bookHisto2D("dilep_dphi_mass",21,massbins);
    }

    void analyze(const Event& event) {
      DressedLeptons elecs = apply<LeptonFinder>(event, "elecs").dressedLeptons();
      DressedLeptons muons = apply<LeptonFinder>(event, "muons").dressedLeptons();

      if (elecs.empty() || muons.empty())  vetoEvent;
      if (elecs[0].charge() == muons[0].charge())  vetoEvent;

      FourMomentum el = elecs[0].momentum();
      FourMomentum mu = muons[0].momentum();
      FourMomentum ll = elecs[0].momentum() + muons[0].momentum();

      // Fill histograms
      // include explicit overflow protection as last bins are inclusive
      fillHistos("lep_pt",      min(el.pT()/GeV,299.));
      fillHistos("lep_pt",      min(mu.pT()/GeV,299.));
      fillHistos("lep_eta",     el.abseta());
      fillHistos("lep_eta",     mu.abseta());
      fillHistos("dilep_pt",    min(ll.pT()/GeV,299.));
      fillHistos("dilep_mass",  min(ll.mass()/GeV,499.));
      fillHistos("dilep_rap",   ll.absrap());
      fillHistos("dilep_dphi",  deltaPhi(el, mu));
      fillHistos("dilep_sumpt", min((el.pT()+mu.pT())/GeV,399.));
      fillHistos("dilep_sumE",  min((el.E()+mu.E())/GeV,699.));

      // find mass bin variable, with overflow protection
      float massv=ll.mass()/GeV;
      if (massv>499.) massv=499.;
      // Fill unrolled 2D histograms vs mass
      fillHisto2D("lep_eta_mass",el.abseta(),massv);
      fillHisto2D("lep_eta_mass",mu.abseta(),massv);
      fillHisto2D("dilep_rap_mass",ll.absrap(),massv);
      fillHisto2D("dilep_dphi_mass",deltaPhi(el,mu),massv);
    }

    void finalize() {
      // Normalize to cross-section
      const double sf = crossSection()/femtobarn/sumOfWeights();

      // finalisation of 1D histograms
      for (auto& hist : _h) {
        const double norm = 1.0 / hist.second->integral();
        // histogram normalisation
        if (hist.first.find("norm") != string::npos)  scale(hist.second, norm);
        else  scale(hist.second, sf);
      }

      // finalisation of 2D histograms
      for (auto& hist : _h_multi) {
        if (hist.first.find("_norm") != std::string::npos) {
          // scaling for normalised distribution according integral of whole set
          hist.second->normalizeGroup(1.0, false);
        }
        else {
          // scaling for non-normalised distribution
          scale(hist.second, sf);
        }
      }
      divByGroupWidth(_h_multi);
    }


  private:

    /// @name Histogram helper functions
    /// @{
    void bookHistos(const std::string name, unsigned int index) {
      book(_h[name], index, 1, 1);
      book(_h["norm_" + name],index + 1, 1, 1);
    }

    void fillHistos(const std::string name, double value) {
      _h[name]->fill(value);
      _h["norm_" + name]->fill(value);
    }

    void bookHisto2D(const std::string& name, unsigned int index, const std::vector<double>& massbins) {
      book(_h_multi[name], massbins);
      book(_h_multi[name+"_norm"], massbins);
      for (size_t i=1; i < _h_multi[name]->numBins()+1; ++i) {
        book(_h_multi[name]->bin(i), index, 1, i);
        book(_h_multi[name+"_norm"]->bin(i), index+1, 1, i);
      }
    }



    void fillHisto2D(const std::string& name, double val, double massval) {
      _h_multi[name]->fill(massval, val);
      _h_multi[name+"_norm"]->fill(massval, val);
    }


    // pointers to 1D and 2D histograms
    map<string, Histo1DPtr> _h;
    map<string, Histo1DGroupPtr> _h_multi;
    /// @}
    // acceptance counter

  };

  RIVET_DECLARE_PLUGIN(ATLAS_2019_I1759875);
}