Rivet Analyses Reference

CMS_2016_I1430892

Measurements of ttbar charge asymmetry using dilepton final states in pp collisions at sqrt(s) = 8 TeV
Experiment: CMS (LHC)
Inspire ID: 1430892
Status: VALIDATED
Authors:
  • Jacob Linacre
References:
  • Phys. Lett. B 760 (2016) 365
  • DOI:10.1016/j.physletb.2016.07.006
  • arXiv: 1603.06221
  • https://hepdata.net/record/ins1430892
Beams: p+ p+
Beam energies: (4000.0, 4000.0) GeV
Run details:
  • Dilepton ttbar events at $\sqrt{s}=8 \text{TeV}$, where the leptons are prompt elecrons or muons (not from tau). No other cuts. All but one of the variables require top quarks in the event record.

$\textbf{Abstract:}$ The charge asymmetry in $\mathrm{t\bar{t}}$ events is measured using dilepton final states produced in pp collisions at the LHC at $\sqrt{s}=8\:$TeV. The data sample, collected with the CMS detector, corresponds to an integrated luminosity of 19.5 $\mathrm{fb^{-1}}$. The measurements are performed using events with two oppositely charged leptons (electrons or muons) and two or more jets, where at least one of the jets is identified as originating from a bottom quark. The charge asymmetry is measured from differences in kinematic distributions, unfolded to the parton level, of positively and negatively charged top quarks and leptons. The $\mathrm{t\bar{t}}$ and leptonic charge asymmetries are found to be 0.011 +/- 0.011 (stat) +/- 0.007 (syst) and 0.003 +/- 0.006 (stat) +/- 0.003 (syst), respectively. These results, as well as charge asymmetry measurements made as a function of $\mathrm{t\bar{t}}$ system kinematic properties, are in agreement with predictions of the standard model. $\textbf{Particle-level addition to Rivet routine:}$ While the analysis was performed at the parton-level only, $\Delta|\eta_{\ell}|$ is a purely leptonic variable and it has been checked that the results of the analysis would have been essentially unchanged had it been defined at particle-level using dressed leptons instead of using the parton-level top quark daughter leptons. We therefore include both particle- and parton-level versions of this distribution in the Rivet routine, with the former identified in the plot title. For same-flavour dilepton final states, the particle-level definition in the full phase space is problematic because the two leptons can come from fully-hadronic $\mathrm{t\bar{t}}$ plus a dilepton pair from radiation. Such pairs have invariant mass $M_{\ell\ell}\sim 0$ and produce a peak near zero in the $\Delta|\eta_{\ell}|$ distribution. We therefore select only the $\mathrm{t\bar{t}}\to e\mu$ final state, by requiring exactly one electron and exactly one muon. Note this means $\mathrm{t\bar{t}}\to e\mu$ events with additional dilepton pairs from radiation are vetoed. For PYTHIA8 this amounts to 0.5% of $\mathrm{t\bar{t}}\to e\mu$ events - well below the level of sensitivity of the measured distribution. $\textbf{Histograms and covariance matrices:}$ The error bars in the measured distributions should not be used for fitting because there are significant correlations between bins. The covariance matrices for the statistical and systematic uncertainties in each distribution can be found in hepdata. The single-differential cross sections in hepdata are normalised to unit area (i.e. the integral is equal to one), while the double-differential cross sections in hepdata are normalised to the sum of entries (such that the sum of all bin heights is equal to one). This should be taken into account when comparing the measured distributions to the Rivet results and when using the covariance matrices. $\textbf{Underflow and overflow bins:}$ The lower and upper $\Delta|y_\mathrm{t}|$ and $\Delta|\eta_{\ell}|$ bins (starting and ending at -2 and +2, respectively) contain underflow and overflow events, i.e. the complete distribution from -infinity to +infinity is covered. Similarly, the upper $M_\mathrm{t\bar{t}}$, $p_\mathrm{T}^\mathrm{t\bar{t}}$, and $\left|y_\mathrm{t\bar{t}}\right|$ bins contain overflow events up to +infinity.

Source code: CMS_2016_I1430892.cc
  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259

// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/DressedLeptons.hh"
#include "Rivet/Projections/PartonicTops.hh"

namespace Rivet {


  /// CMS 8 TeV dilepton channel ttbar charge asymmetry analysis
  class CMS_2016_I1430892 : public Analysis {
  public:

    /// Constructor
    RIVET_DEFAULT_ANALYSIS_CTOR(CMS_2016_I1430892);


    /// Book histograms and initialise projections
    void init() {

      // Complete final state
      FinalState fs;

      // Projection for dressed electrons and muons
      IdentifiedFinalState photons(fs);
      photons.acceptIdPair(PID::PHOTON);

      IdentifiedFinalState el_id(fs);
      el_id.acceptIdPair(PID::ELECTRON);
      PromptFinalState electrons(el_id);
      declare(electrons, "Electrons");
      DressedLeptons dressed_electrons(photons, electrons, 0.1);
      declare(dressed_electrons, "DressedElectrons");

      IdentifiedFinalState mu_id(fs);
      mu_id.acceptIdPair(PID::MUON);
      PromptFinalState muons(mu_id);
      declare(muons, "Muons");
      DressedLeptons dressed_muons(photons, muons, 0.1);
      declare(dressed_muons, "DressedMuons");

      // Parton-level top quarks
      declare(PartonicTops(PartonicTops::DecayMode::E_MU, false), "LeptonicPartonTops");


      // Booking of histograms

      // This histogram is independent of the parton-level information, and is an
      // addition to the original analysis. It is compared to the same data as
      // the parton-level delta_abseta histogram d05-x01-y01.
      book(_h_dabsetadressedleptons, "d00-x01-y01", _bins_dabseta);

      // The remaining histos use parton-level information
      book(_h_dabseta, "d05-x01-y01", _bins_dabseta);
      book(_h_dabsrapidity, "d02-x01-y01", _bins_dabsrapidity);

      // 2D histos
      book(_h_dabsrapidity_var[0], "d11-x01-y01", _bins_dabsrapidity, _bins_tt_mass);
      book(_h_dabseta_var[0], "d17-x01-y01", _bins_dabseta, _bins_tt_mass);

      book(_h_dabsrapidity_var[1], "d23-x01-y01", _bins_dabsrapidity, _bins_tt_pT);
      book(_h_dabseta_var[1], "d29-x01-y01", _bins_dabseta, _bins_tt_pT);

      book(_h_dabsrapidity_var[2], "d35-x01-y01", _bins_dabsrapidity, _bins_tt_absrapidity);
      book(_h_dabseta_var[2], "d41-x01-y01", _bins_dabseta, _bins_tt_absrapidity);

      // Profile histos for asymmetries
      book(_h_dabsrapidity_profile[0], "d08-x01-y01", _bins_tt_mass);
      book(_h_dabseta_profile[0], "d14-x01-y01", _bins_tt_mass);

      book(_h_dabsrapidity_profile[1], "d20-x01-y01", _bins_tt_pT);
      book(_h_dabseta_profile[1], "d26-x01-y01", _bins_tt_pT);

      book(_h_dabsrapidity_profile[2], "d32-x01-y01", _bins_tt_absrapidity);
      book(_h_dabseta_profile[2], "d38-x01-y01", _bins_tt_absrapidity);

    }


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

      const double weight = 1.0;

      // Use particle-level leptons for the first histogram
      const DressedLeptons& dressed_electrons = applyProjection<DressedLeptons>(event, "DressedElectrons");
      const DressedLeptons& dressed_muons = applyProjection<DressedLeptons>(event, "DressedMuons");

      const vector<DressedLepton> dressedels = dressed_electrons.dressedLeptons();
      const vector<DressedLepton> dressedmus = dressed_muons.dressedLeptons();

      const size_t ndressedel = dressedels.size();
      const size_t ndressedmu = dressedmus.size();

      // For the particle-level histogram, require exactly one electron and exactly one muon, to select the ttbar->emu channel.
      // Note this means ttbar->emu events with additional PromptFinalState dilepton pairs from the shower are vetoed - for PYTHIA8,
      // this affects ~0.5% of events, so the effect is well below the level of sensitivity of the measured distribution.
      if ( ndressedel == 1 && ndressedmu == 1 ) {

        const int electrontouse = 0, muontouse = 0;

        // Opposite-charge leptons only
        if ( sameSign(dressedels[electrontouse], dressedmus[muontouse]) ) {
          MSG_INFO("Error, e and mu have same charge, skipping event");
        } else {
          // Get the four-momenta of the positively- and negatively-charged leptons
          FourMomentum lepPlus = dressedels[electrontouse].charge() > 0 ? dressedels[electrontouse] : dressedmus[muontouse];
          FourMomentum lepMinus = dressedels[electrontouse].charge() > 0 ? dressedmus[muontouse] : dressedels[electrontouse];

          // Now calculate the variable
          double dabseta_temp = lepPlus.abseta() - lepMinus.abseta();

          fillWithUFOF( _h_dabsetadressedleptons, dabseta_temp, weight );
        }

      }


      // The remaining variables use parton-level information.

      // Get the leptonically decaying tops
      const Particles leptonicpartontops = apply<ParticleFinder>(event, "LeptonicPartonTops").particlesByPt();
      Particles chargedleptons;

      unsigned int ntrueleptonictops = 0;
      bool oppositesign = false;

      if ( leptonicpartontops.size() == 2 ) {
        for (size_t k = 0; k < leptonicpartontops.size(); ++k) {

          // Get the lepton
          const Particle lepTop = leptonicpartontops[k];
          const auto isPromptChargedLepton = [](const Particle& p){return (isChargedLepton(p) && isPrompt(p, false, false));};
          Particles lepton_candidates = lepTop.allDescendants(firstParticleWith(isPromptChargedLepton), false);
          if ( lepton_candidates.size() < 1 ) MSG_WARNING("error, PartonicTops::DecayMode::E_MU top quark had no daughter lepton candidate, skipping event.");

          // In some cases there is no lepton from the W decay but only leptons from the decay of a radiated gamma.
          // These hadronic PartonicTops are currently being mistakenly selected by PartonicTops::DecayMode::E_MU (as of April 2017), and need to be rejected.
          // PartonicTops::DecayMode::E_MU is being fixed in Rivet, and when it is the veto below should do nothing.
          /// @todo Should no longer be necessary -- remove
          bool istrueleptonictop = false;
          for (size_t i = 0; i < lepton_candidates.size(); ++i) {
            const Particle& lepton_candidate = lepton_candidates[i];
            if ( lepton_candidate.hasParent(PID::PHOTON) ) {
              MSG_DEBUG("Found gamma parent, top: " << k+1 << " of " << leptonicpartontops.size() << " , lepton: " << i+1 << " of " << lepton_candidates.size());
              continue;
            }
            if ( !istrueleptonictop && sameSign(lepTop,lepton_candidate) ) {
              chargedleptons.push_back(lepton_candidate);
              istrueleptonictop = true;
            }
            else MSG_WARNING("Error, found extra prompt charged lepton from top decay (and without gamma parent), ignoring it.");
          }
          if ( istrueleptonictop ) ++ntrueleptonictops;
        }
      }

      if ( ntrueleptonictops == 2 ) {
        oppositesign = !( sameSign(chargedleptons[0],chargedleptons[1]) );
        if ( !oppositesign ) MSG_WARNING("error, same charge tops, skipping event.");
      }

      if ( ntrueleptonictops == 2 && oppositesign ) {

        // Get the four-momenta of the positively- and negatively-charged leptons
        const FourMomentum lepPlus = chargedleptons[0].charge() > 0 ? chargedleptons[0] : chargedleptons[1];
        const FourMomentum lepMinus = chargedleptons[0].charge() > 0 ? chargedleptons[1] : chargedleptons[0];

        const double dabseta_temp = lepPlus.abseta() - lepMinus.abseta();

        // Get the four-momenta of the positively- and negatively-charged tops
        const FourMomentum topPlus_p4 = leptonicpartontops[0].pid() > 0 ? leptonicpartontops[0] : leptonicpartontops[1];
        const FourMomentum topMinus_p4 = leptonicpartontops[0].pid() > 0 ? leptonicpartontops[1] : leptonicpartontops[0];

        const FourMomentum ttbar_p4 = topPlus_p4 + topMinus_p4;

        const double tt_mass_temp = ttbar_p4.mass();
        const double tt_absrapidity_temp = ttbar_p4.absrapidity();
        const double tt_pT_temp = ttbar_p4.pT();
        const double dabsrapidity_temp = topPlus_p4.absrapidity() - topMinus_p4.absrapidity();

        // Fill parton-level histos
        fillWithUFOF( _h_dabseta, dabseta_temp, weight );
        fillWithUFOF( _h_dabsrapidity, dabsrapidity_temp, weight );

        // Now fill the same variables in the 2D and profile histos vs ttbar invariant mass, pT, and absolute rapidity
        for (int i_var = 0; i_var < 3; ++i_var) {
          double var;
          if ( i_var == 0 ) {
            var = tt_mass_temp;
          } else if ( i_var == 1 ) {
            var = tt_pT_temp;
          } else {
            var = tt_absrapidity_temp;
          }

          fillWithUFOF( _h_dabsrapidity_var[i_var], dabsrapidity_temp, var, weight );
          fillWithUFOF( _h_dabseta_var[i_var], dabseta_temp, var, weight );

          fillWithUFOF( _h_dabsrapidity_profile[i_var], dabsrapidity_temp, var, weight, (_h_dabsrapidity->xMax() + _h_dabsrapidity->xMin())/2. );
          fillWithUFOF( _h_dabseta_profile[i_var], dabseta_temp, var, weight, (_h_dabseta->xMax() + _h_dabseta->xMin())/2. );
        }

      }

    }


    /// Normalise histograms to unit area
    void finalize() {

      normalize(_h_dabsetadressedleptons);

      normalize(_h_dabseta);
      normalize(_h_dabsrapidity);

      for (int i_var = 0; i_var < 3; ++i_var) {
        normalize(_h_dabsrapidity_var[i_var]);
        normalize(_h_dabseta_var[i_var]);
      }

    }


  private:

    Histo1DPtr _h_dabsetadressedleptons, _h_dabseta, _h_dabsrapidity;
    Histo2DPtr _h_dabseta_var[3], _h_dabsrapidity_var[3];
    Profile1DPtr _h_dabseta_profile[3], _h_dabsrapidity_profile[3];

    const vector<double> _bins_tt_mass = {300., 430., 530., 1200.};
    const vector<double> _bins_tt_pT = {0., 41., 92., 300.};
    const vector<double> _bins_tt_absrapidity = {0., 0.34, 0.75, 1.5};
    const vector<double> _bins_dabseta = { -2., -68./60., -48./60., -32./60., -20./60., -8./60., 0., 8./60., 20./60., 32./60., 48./60., 68./60., 2.};
    const vector<double> _bins_dabsrapidity = {-2., -44./60., -20./60., 0., 20./60., 44./60., 2.};

    void fillWithUFOF(Histo1DPtr h, double x, double w) {
      h->fill(std::max(std::min(x, h->xMax()-1e-9),h->xMin()+1e-9), w);
    }

    void fillWithUFOF(Histo2DPtr h, double x, double y, double w) {
      h->fill(std::max(std::min(x, h->xMax()-1e-9),h->xMin()+1e-9), std::max(std::min(y, h->yMax()-1e-9),h->yMin()+1e-9), w);
    }

    void fillWithUFOF(Profile1DPtr h, double x, double y, double w, double c) {
      h->fill(std::max(std::min(y, h->xMax()-1e-9),h->xMin()+1e-9), float(x > c) - float(x < c), w);
    }


  };


  // The hook for the plugin system
  RIVET_DECLARE_PLUGIN(CMS_2016_I1430892);


}

Edit this page on GitLab