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CMS_2018_I1680318

Charged particle distributions in different final states at 13 TeV
Experiment: CMS collaboration (LHC)
Inspire ID: 1680318
Status: VALIDATED
Authors:
  • cms-pag-conveners-smp@cern.ch
  • Juan Manuel Grados Luyando
  • Pieters Maxim
References:
  • Eur.Phys.J. C78 (2018) no.9, 697
  • DOI: 10.1140/epjc/s10052-018-6144-y
  • arXiv: 1806.11245
  • http://cms-results.web.cern.ch/cms-results/public-results/publications/FSQ-16-011/
Beams: p+ p+
Beam energies: (6500.0, 6500.0) GeV
Run details:
  • Inelastic events at 13 TeV centre of mass energy. Tracks in $|\eta|<2.4$ and with $p_\perp > 0.5 GeV$

Charged particle distributions in different final states at $\sqrt{s} = 13$ TeV by the CMS experiment. Pseudorapidity, multiplicity and transverse momentum distributions of all charged particles. Also the $p_\perp$ leading charged particle spectrum and its integration as function of $p_\perp$. The distributions are presented for inelastic, non-single-diffractive and single-diffractive event selections. Please note, that the MC predictions are not scaled to the datapoints, in contrast to Figure 6 in the publication.

Source code: CMS_2018_I1680318.cc
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// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/ChargedFinalState.hh"

namespace Rivet {


  class CMS_2018_I1680318 : public Analysis {
  public:

    /// Constructor
    DEFAULT_RIVET_ANALYSIS_CTOR(CMS_2018_I1680318);


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

      // Cuts
      MinEnergy     = 5.0; // Particle's energy cut in the forward region [GeV]
      EtaForwardMin = 3.0;
      EtaForwardMax = 5.0;
      EtaCentralCut = 2.4;
      MinParticlePt = 0.5; // [GeV]


      // Initialise and register projections
      const FinalState fsa(-1.0*EtaForwardMax, EtaForwardMax, 0.0000*GeV);
      addProjection(fsa, "FSA");

      const ChargedFinalState cfs(-1.0*EtaCentralCut, EtaCentralCut, MinParticlePt*GeV);
      addProjection(cfs, "CFS");


      // Event counters
      _num_evts_noCuts = 0;
      _num_evts_after_cuts_or   = 0;
      _num_evts_after_cuts_and  = 0;
      _num_evts_after_cuts_xor  = 0;
      _num_evts_after_cuts_xorm = 0;
      _num_evts_after_cuts_xorp = 0;


      // Histograms
      _hist_dNch_all_dEta_OR           = bookHisto1D(1,1,1);
      _hist_dNch_all_dEta_AND          = bookHisto1D(1,2,1);
      _hist_dNch_all_dEta_XOR          = bookHisto1D(1,3,1);
      _hist_dNch_all_dEta_XORpm        = bookHisto1D(1,4,1);

      _hist_dNch_all_dpt_OR            = bookHisto1D(2,1,1);
      _hist_dNch_all_dpt_AND           = bookHisto1D(2,2,1);
      _hist_dNch_all_dpt_XOR           = bookHisto1D(2,3,1);

      _hist_dNch_leading_dpt_OR        = bookHisto1D(3,1,1);
      _hist_dNch_leading_dpt_AND       = bookHisto1D(3,2,1);
      _hist_dNch_leading_dpt_XOR       = bookHisto1D(3,3,1);

      _hist_integrated_leading_pt_OR   = bookHisto1D(4,1,1);
      _hist_integrated_leading_pt_AND  = bookHisto1D(4,2,1);
      _hist_integrated_leading_pt_XOR  = bookHisto1D(4,3,1);

      _hist_dNev_all_dM_OR             = bookHisto1D(5,1,1);
      _hist_dNev_all_dM_AND            = bookHisto1D(5,2,1);
    }


    /// Perform the per-event analysis
    void analyze(const Event& event) {
      const double weight = event.weight();

      const ChargedFinalState& charged = applyProjection<ChargedFinalState>(event, "CFS");
      const FinalState& fsa = applyProjection<FinalState>(event, "FSA");

      bool activity_plus_side  = false,
        activity_minus_side = false;

      for (const Particle& p : fsa.particles()) {
        if ( p.energy() >= MinEnergy ) {
          if ( inRange(p.eta(),      EtaForwardMin,      EtaForwardMax) ) activity_plus_side  = true;
          if ( inRange(p.eta(), -1.0*EtaForwardMax, -1.0*EtaForwardMin) ) activity_minus_side = true;
        }

        // If activity already found in both sides,
        // then there is no point in keep going the loop
        if (activity_plus_side && activity_minus_side) break;
      }

      // Event selections
      const bool cutsor   = ( activity_plus_side ||  activity_minus_side);
      const bool cutsand  = ( activity_plus_side &&  activity_minus_side);
      const bool cutsxor  = ((activity_plus_side && !activity_minus_side) || (!activity_plus_side && activity_minus_side));
      const bool cutsxorm = (!activity_plus_side &&  activity_minus_side);
      const bool cutsxorp = ( activity_plus_side && !activity_minus_side);

      _num_evts_noCuts += weight;
      if ( charged.size() >= 1 ) {
        if (cutsor)   _num_evts_after_cuts_or   += weight;
        if (cutsand)  _num_evts_after_cuts_and  += weight;
        if (cutsxor)  _num_evts_after_cuts_xor  += weight;
        if (cutsxorm) _num_evts_after_cuts_xorm += weight;
        if (cutsxorp) _num_evts_after_cuts_xorp += weight;
      }

      // Loop over charged particles
      double leading_pt = 0;
      for (const Particle& p : charged.particles()) {
        // Find the leading-pt particle of the event
        if (p.pT() > leading_pt) leading_pt = p.pT();

        // Filling histograms
        if (cutsor)   _hist_dNch_all_dEta_OR    -> fill(p.eta(), weight);
        if (cutsand)  _hist_dNch_all_dEta_AND   -> fill(p.eta(), weight);
        if (cutsxor)  _hist_dNch_all_dEta_XOR   -> fill(p.eta(), weight);

        //Average xorm & xorp
        if (cutsxorm) _hist_dNch_all_dEta_XORpm -> fill(p.eta(), weight);
        if (cutsxorp) _hist_dNch_all_dEta_XORpm -> fill(-1.0*p.eta(), weight);

        if (cutsor)   _hist_dNch_all_dpt_OR     -> fill(p.pT(), weight);
        if (cutsand)  _hist_dNch_all_dpt_AND    -> fill(p.pT(), weight);
        if (cutsxor)  _hist_dNch_all_dpt_XOR    -> fill(p.pT(), weight);
      }

      // Filling multiplicity histograms
      if ( charged.size() >= 1 ) {
        if (cutsor)  _hist_dNev_all_dM_OR  -> fill(charged.size(), weight);
        if (cutsand) _hist_dNev_all_dM_AND -> fill(charged.size(), weight);
      }

      // Filling leading-pt histograms
      if (cutsor)  _hist_dNch_leading_dpt_OR  -> fill(leading_pt, weight);
      if (cutsand) _hist_dNch_leading_dpt_AND -> fill(leading_pt, weight);
      if (cutsxor) _hist_dNch_leading_dpt_XOR -> fill(leading_pt, weight);

      // Integrating leading-pt histograms
      for (size_t i = 0 ; i < _hist_integrated_leading_pt_OR->numBins() ; ++i) {
        double binlimitlow_t = _hist_integrated_leading_pt_OR->bin(i).xMin(),
          weightbw_t    = _hist_integrated_leading_pt_OR->bin(i).xWidth()*weight,
          xbin_t        = _hist_integrated_leading_pt_OR->bin(i).xMid();
        if (leading_pt > binlimitlow_t) {
          if (cutsor)  _hist_integrated_leading_pt_OR  -> fill(xbin_t, weightbw_t);
          if (cutsand) _hist_integrated_leading_pt_AND -> fill(xbin_t, weightbw_t);
          if (cutsxor) _hist_integrated_leading_pt_XOR -> fill(xbin_t, weightbw_t);
        }
      }

    }


    /// Normalise histograms etc., after the run
    void finalize() {
      MSG_INFO("Number of selected events: "                  << endl
               << "\t All       = " << _num_evts_noCuts          << endl
               << "\t Inelastic = " << _num_evts_after_cuts_or   << endl
               << "\t NSD       = " << _num_evts_after_cuts_and  << endl
               << "\t Xor       = " << _num_evts_after_cuts_xor  << endl
               << "\t Xorm      = " << _num_evts_after_cuts_xorm << endl
               << "\t Xorp      = " << _num_evts_after_cuts_xorp);

      scale(_hist_dNch_all_dEta_OR,    1./_num_evts_after_cuts_or);
      scale(_hist_dNch_all_dEta_AND,   1./_num_evts_after_cuts_and);
      scale(_hist_dNch_all_dEta_XOR,   1./_num_evts_after_cuts_xor);
      scale(_hist_dNch_all_dEta_XORpm, 1./(_num_evts_after_cuts_xorm + _num_evts_after_cuts_xorp));

      scale(_hist_dNch_all_dpt_OR,   1./_num_evts_after_cuts_or);
      scale(_hist_dNch_all_dpt_AND,  1./_num_evts_after_cuts_and);
      scale(_hist_dNch_all_dpt_XOR,  1./_num_evts_after_cuts_xor);

      scale(_hist_dNch_leading_dpt_OR,   1./_num_evts_after_cuts_or);
      scale(_hist_dNch_leading_dpt_AND,  1./_num_evts_after_cuts_and);
      scale(_hist_dNch_leading_dpt_XOR,  1./_num_evts_after_cuts_xor);

      scale(_hist_integrated_leading_pt_OR,   1./_num_evts_after_cuts_or);
      scale(_hist_integrated_leading_pt_AND,  1./_num_evts_after_cuts_and);
      scale(_hist_integrated_leading_pt_XOR,  1./_num_evts_after_cuts_xor);

      scale(_hist_dNev_all_dM_OR,   1./_num_evts_after_cuts_or);
      scale(_hist_dNev_all_dM_AND,  1./_num_evts_after_cuts_and);
    }


  private:

    // Cuts
    double MinEnergy, EtaForwardMin, EtaForwardMax, EtaCentralCut, MinParticlePt;

    // Counters
    double _num_evts_noCuts,
                  _num_evts_after_cuts_and,
                  _num_evts_after_cuts_or,
                  _num_evts_after_cuts_xor,
                  _num_evts_after_cuts_xorp,
                  _num_evts_after_cuts_xorm;

    // Histograms
    Histo1DPtr
    _hist_dNch_all_dEta_AND,
                  _hist_dNch_all_dEta_OR,
                  _hist_dNch_all_dEta_XOR,
                  _hist_dNch_all_dEta_XORpm;
    Histo1DPtr
    _hist_dNch_all_dpt_AND,
                  _hist_dNch_all_dpt_OR,
                  _hist_dNch_all_dpt_XOR;
    Histo1DPtr
    _hist_dNch_leading_dpt_AND,
                  _hist_dNch_leading_dpt_OR,
                  _hist_dNch_leading_dpt_XOR;
    Histo1DPtr
    _hist_integrated_leading_pt_AND,
                  _hist_integrated_leading_pt_OR,
                  _hist_integrated_leading_pt_XOR;
    Histo1DPtr
    _hist_dNev_all_dM_AND,
                  _hist_dNev_all_dM_OR;

  };


  DECLARE_RIVET_PLUGIN(CMS_2018_I1680318);

}