Rivet analyses

ttbar + jets at 13 TeV

Experiment: ATLAS (LHC)

Inspire ID: 1495243

Status: VALIDATED

Authors: - Callie Bertsche - Judith Katzy - Krishna Kulkarni - Christian Gutschow

References: - Eur.Phys.J. C77 (2017) no.4, 220 - DOI: 10.1140/epjc/s10052-017-4766-0 - arXiv: 1610.09978

Beams: p+ p+

Beam energies: (6500.0, 6500.0)GeV

Run details: - p + p -> ttbar (dileptonic, needs high statistics [~2 million] to populate gap fractions).

Measurements of jet activity in top-quark pair events produced in proton–proton collisions are presented, using 3.2 fb−1 of pp collision data at a centre-of-mass energy of 13 TeV collected by the ATLAS experiment at the Large Hadron Collider. Events are chosen by requiring an opposite-charge eμ pair and two b-tagged jets in the final state. The normalised differential cross-sections of top-quark pair production are presented as functions of additional-jet multiplicity and transverse momentum, pT. The fraction of signal events that do not contain additional jet activity in a given rapidity region, the gap fraction, is measured as a function of the pT threshold for additional jets, and is also presented for different invariant mass regions of the eμb system. All measurements are corrected for detector effects and presented as particle-level distributions compared to predictions with different theoretical approaches for QCD radiation. While the kinematics of the jets from top-quark decays are described well, the generators show differing levels of agreement with the measurements of observables that depend on the production of additional jets.

Source code:ATLAS_2017_I1495243.cc

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

namespace Rivet {


  /// @brief $t\bar{t}$ + jets at 13 TeV
  class ATLAS_2017_I1495243 : public Analysis {
  public:

    RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2017_I1495243);


    void init() {

      Cut eta_full = Cuts::abseta < 5.0 && Cuts::pT > 1.0*MeV;
      Cut eta_lep = Cuts::abseta < 2.5;

      // Collect final state particles
      FinalState FS(eta_full);

      // Get photons to dress leptons
      IdentifiedFinalState photons(FS);
      photons.acceptIdPair(PID::PHOTON);

      // Projection to find the electrons
      IdentifiedFinalState el_id(FS);
      el_id.acceptIdPair(PID::ELECTRON);
      PromptFinalState electrons(el_id);
      electrons.acceptTauDecays(false);
      LeptonFinder dressedelectrons(electrons, photons, 0.1, Cuts::abseta < 2.5 && Cuts::pT > 25*GeV);
      declare(dressedelectrons, "electrons");
      LeptonFinder fulldressedelectrons(electrons, photons, 0.1, eta_full);

      // Projection to find the muons
      IdentifiedFinalState mu_id(FS);
      mu_id.acceptIdPair(PID::MUON);
      PromptFinalState muons(mu_id);
      muons.acceptTauDecays(false);
      LeptonFinder dressedmuons(muons, photons, 0.1, Cuts::abseta < 2.5 && Cuts::pT > 25*GeV);
      declare(dressedmuons, "muons");
      LeptonFinder fulldressedmuons(muons, photons, 0.1, eta_full);

      // Projection to find neutrinos to exclude from jets
      IdentifiedFinalState nu_id;
      nu_id.acceptNeutrinos();
      PromptFinalState neutrinos(nu_id);
      neutrinos.acceptTauDecays(false);

      // Jet clustering
      VetoedFinalState vfs;
      vfs.addVetoOnThisFinalState(fulldressedelectrons);
      vfs.addVetoOnThisFinalState(fulldressedmuons);
      vfs.addVetoOnThisFinalState(neutrinos);
      FastJets jets(vfs, JetAlg::ANTIKT, 0.4, JetMuons::ALL, JetInvisibles::DECAY);
      declare(jets, "jets");

      // Book Histograms
      book(_h["bjet_pt"] , 5,1,1);
      book(_h["2bjet_pt"], 6,1,1);
      book(_h["ljet_pt"] , 7,1,1);

      for (size_t i = 0; i < 4; ++i) {
        book(_d["njet"  + to_str(i)], i+1, 1, 1);
        book(_h["Q0"    + to_str(i)], "_Q0"    + to_str(i+ 7), refData((i>1?"d":"d0") + to_str(i+ 8) + "-x01-y01"));
        book(_h["MQ0"   + to_str(i)], "_MQ0"   + to_str(i+12), refData("d" + to_str(i+12) + "-x01-y01"));
        book(_h["Qsum"  + to_str(i)], "_Qsum"  + to_str(i+16), refData("d" + to_str(i+16) + "-x01-y01"));
        book(_h["MQsum" + to_str(i)], "_MQsum" + to_str(i+20), refData("d" + to_str(i+20) + "-x01-y01"));
        book(_s["gapFracQ0"    + to_str(i)],  8+i, 1 ,1);
        book(_s["gapFracMQ0"   + to_str(i)], 12+i, 1, 1);
        book(_s["gapFracQsum"  + to_str(i)], 16+i, 1, 1);
        book(_s["gapFracMQsum" + to_str(i)], 20+i, 1, 1);
      }
    }


    void analyze(const Event& event) {
      // Get the selected objects, using the projections.
      Jets all_jets = apply<FastJets>(event, "jets").jetsByPt(Cuts::pT > 25*GeV && Cuts::abseta < 2.5);

      const DressedLeptons electrons = discard(apply<LeptonFinder>(event, "electrons").dressedLeptons(),
        [&](const DressedLepton &e) {
          return any(all_jets, deltaRLess(e, 0.4));
        });

      const DressedLeptons muons = discard(apply<LeptonFinder>(event, "muons").dressedLeptons(),
        [&](const DressedLepton &m) {
          return any(all_jets, deltaRLess(m, 0.4));
        });

      if (electrons.size() != 1 || muons.size() != 1)  vetoEvent;
      if (electrons[0].charge() == muons[0].charge())  vetoEvent;

      Jets bjets, extrajets;
      for (Jet j : all_jets) {
        size_t b_tagged = j.bTags(Cuts::pT > 5*GeV).size();
        if (bjets.size() < 2 && b_tagged)  bjets += j;
        else  extrajets += j;
      }
      if (bjets.size() < 2)  vetoEvent;

      double bjetpt = bjets[0].pt();
      if (bjetpt > 250*GeV)  bjetpt = 275*GeV;
      _h["bjet_pt"]->fill(bjetpt);

      double b2jetpt = bjets[1].pt();
      if (b2jetpt > 150*GeV)  b2jetpt = 175*GeV;
      _h["2bjet_pt"]->fill(b2jetpt);

      if (extrajets.size()) {
        double ljetpt = extrajets[0].pt();
        if (ljetpt > 250*GeV)  ljetpt = 275*GeV;
        _h["ljet_pt"]->fill(ljetpt);
      }

      double Memubb = (electrons[0].momentum() + muons[0].momentum() + bjets[0].momentum() + bjets[1].momentum()).mass();
      vector<double> leadpt = { 0., 0., 0., 0. }, ptsum = { 0., 0., 0., 0. };
      vector<size_t> njetcount = { 0, 0, 0, 0 };
      for (size_t i = 0; i < extrajets.size(); ++i) {
        double absrap = extrajets[i].absrap(), pt = extrajets[i].pT();
        if (pt > 25*GeV)  ++njetcount[0];
        if (pt > 40*GeV)  ++njetcount[1];
        if (pt > 60*GeV)  ++njetcount[2];
        if (pt > 80*GeV)  ++njetcount[3];

        if (absrap < 0.8 && pt > leadpt[0])  leadpt[0] = pt;
        else if (absrap > 0.8 && absrap < 1.5 && pt > leadpt[1])  leadpt[1] = pt;
        else if (absrap > 1.5 && absrap < 2.1 && pt > leadpt[2])  leadpt[2] = pt;
        if (absrap < 2.1 && pt > leadpt[3])  leadpt[3] = pt;

        if (absrap < 0.8)  ptsum[0] += pt;
        else if (absrap > 0.8 && absrap < 1.5)  ptsum[1] += pt;
        else if (absrap > 1.5 && absrap < 2.1)  ptsum[2] += pt;
        if (absrap < 2.1)  ptsum[3] += pt;
      }


      for (size_t i = 0; i < 4; ++i) {
        size_t cutoff = i? 3 : 4;
        if (njetcount[i] > cutoff)  njetcount[i] = cutoff;
        _d["njet" + to_str(i)]->fill(discretise(njetcount[i], i));

        if (leadpt[i] > 305*GeV)  leadpt[i] = 305*GeV;
        _h["Q0" + to_str(i)]->fill(leadpt[i]);

        if (ptsum[i] > 505*GeV)  ptsum[i] = 505*GeV;
        _h["Qsum" + to_str(i)]->fill(ptsum[i]);
      }


      for (size_t i = 0; i < 4; ++i) {
        if (i == 0 && !(Memubb < 300*GeV))  continue;
        if (i == 1 && !(Memubb > 300*GeV && Memubb < 425*GeV))  continue;
        if (i == 2 && !(Memubb > 425*GeV && Memubb < 600*GeV))  continue;
        if (i == 3 && !(Memubb > 600*GeV))  continue;
        _h["MQ0"   + to_str(i)]->fill(leadpt[3]);
        _h["MQsum" + to_str(i)]->fill(ptsum[3]);
      }
    }


    void constructGapFraction(Estimate1DPtr out, Histo1DPtr in) {
      bool hasWeights = in->effNumEntries() != in->numEntries();
      double denW  = in->sumW();
      double denW2 = in->sumW2();
      size_t nEnd  = out->numBins();

      for (auto& b : out->bins()) {
          double numW = in->sumW(), numW2 = in->sumW2();
          for (size_t j = b.index(); j <= nEnd; ++j) {
            numW  -= in->bin(j).sumW();
            numW2 -= in->bin(j).sumW2();
          }
          double yval = safediv(numW, denW);
          double yerr = sqrt(safediv(yval * (1 - yval), denW));
          if (hasWeights) { // use F. James's approximation for weighted events
            yerr = sqrt( safediv((1 - 2 * yval) * numW2 + yval * yval * denW2, denW * denW) );
          }
          b.set(yval, yerr);
      }
    }


    void finalize() {

      // Build gap fraction plots
      for (size_t i = 0; i < 4; ++i) {
        constructGapFraction(_s["gapFracQ0"    + to_str(i)], _h["Q0"    + to_str(i)]);
        constructGapFraction(_s["gapFracMQ0"   + to_str(i)], _h["MQ0"   + to_str(i)]);
        constructGapFraction(_s["gapFracQsum"  + to_str(i)], _h["Qsum"  + to_str(i)]);
        constructGapFraction(_s["gapFracMQsum" + to_str(i)], _h["MQsum" + to_str(i)]);
      }

      // Normalize to cross-section
      for (map<string, Histo1DPtr>::iterator hit = _h.begin(); hit != _h.end(); ++hit) {
        if (hit->first.find("jet") != string::npos)  normalize(hit->second);
      }
      normalize(_d);
    }

    string discretise(const size_t n, const size_t axis) const {
      if (n == 0) return "0"s;
      if (n == 1) return "1"s;
      if (n == 2) return "2"s;
      if (axis) {
        return ">= 3"s;
      }
      else if (n == 3) return "3"s;
      else if (n <= 8) return "4.0 - 8.0"s;
      return "OTHER"s;
    }


  private:

    /// @name Histogram helper functions
    map<string, Histo1DPtr> _h;
    map<string, Estimate1DPtr> _s;
    map<string, BinnedHistoPtr<string>> _d;
  };


  RIVET_DECLARE_PLUGIN(ATLAS_2017_I1495243);


}