Rivet analyses

Neutral strange particle production in deep inelastic scattering at HERA (ZEUS)

Experiment: ZEUS (HERA)

Inspire ID: 395196

Status: VALIDATED

Authors: - Can Sueslue - Hannes Jung

References: - Z. Phys.C 68( 1995) 29 - DOI: 10.1007/BF01579802 - arXiv: hep-ex/9505011

Beams: e- p+, p+ e-

Beam energies: (26.7, 820.0); (820.0, 26.7)GeV

Run details: - Cuts are 10 < Q2 < 640GeV2, 0.0003 < xbj < 0.01,and y > 0.04. For Kaons, 1.3 < η < 1.3 and 0.5 < pt < 4.0GeV. For Lambdas $1.3< <1.3 $ and 0.5 < pt < 3.5GeV.

Measurements of K0 and Λ production in neutral current, deep inelastic scattering of 26.7 GeV electrons and 820 GeV protons in the kinematic range 10 < Q2 < 640, 0.0003 < x < 0.01, and y > 0.04. Average multiplicities for K0 and Λ production are determined for transverse momenta $p_T >0.5> $ GeV and pseudorapidities $|| < 1.3 $. The production properties of K0 in events with and without a large rapidity gap with respect to the proton direction are compared. The ratio of neutral K0 to charged particles per event in the measured kinematic range is, within the present statistics, the same in both samples.

Source code:ZEUS_1995_I395196.cc

// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/UnstableParticles.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/DISKinematics.hh"
#include "Rivet/Projections/DISLepton.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/DISRapidityGap.hh"
namespace Rivet {


  /// @brief Neutral strange particle production in deep inelastic scattering at HERA (ZEUS)
  class ZEUS_1995_I395196 : public Analysis {
  public:

    /// Constructor
    RIVET_DEFAULT_ANALYSIS_CTOR(ZEUS_1995_I395196);


    void init() {

      declare(DISLepton(), "Lepton");
      declare(DISKinematics(), "Kinematics");
      declare(DISRapidityGap(), "Rapidity Gap");

      const Cut cut = Cuts::abseta < 1.3;

      const FinalState fs(cut);
      declare(fs, "FS");
      const UnstableParticles ufs(cut);
      declare(ufs, "UFS");

      const ChargedFinalState cfs(cut);
      declare(cfs, "CFS");

       // take binning from reference data using HEPData ID (digits in "d01-x01-y01" etc.)
      book(_h["pT_kaon"], 1, 1, 1);
      book(_h["eta_kaon"], 2, 1, 1);
      book(_h["pT_lambda"], 3, 1, 1);
      book(_h["eta_lambda"], 4, 1, 1);
      book(_h_multK0_0,"TMP/mult_0", refData<YODA::BinnedEstimate<string> >(5,1,1));
      book(_h_multK0_1,"TMP/mult_1", refData<YODA::BinnedEstimate<string> >(5,1,1));
      book(_h_multK0_2,"TMP/mult_2", refData<YODA::BinnedEstimate<string> >(6,1,1));
      book(_h_multK0_3,"TMP/mult_3", refData<YODA::BinnedEstimate<string> >(6,1,1));
      book(_h_scatratio, 6, 1, 1);
      book(_h["K0_NRG_data_pT"], 7, 1, 1);
      book(_h["K0_LRG_data_pT"], 8, 1, 1);
      book(_h["K0_NRG_data_eta"], 9, 1, 1);
      book(_h["K0_LRG_data_eta"], 10, 1, 1);
      book(_h_scat,5,1,1);
      book(_c["dis"],"TMP/Nevt_after_cuts");


    }


    /// Perform the per-event analysis
    void analyze(const Event& event) {
      if(_edges.empty()) _edges = _h_multK0_0->xEdges();;
      
      const FinalState& fs = apply<FinalState>(event, "FS");
      const UnstableParticles & ufs = apply<UnstableParticles>(event, "UFS");
      const DISKinematics& dk = apply<DISKinematics>(event, "Kinematics");

      const DISRapidityGap& g = apply<DISRapidityGap>(event, "Rapidity Gap");

      const ChargedFinalState& charged = apply<ChargedFinalState>(event, "CFS");
      const size_t numPartcharged = charged.particles().size();
      //const size_t numPart = fs.particles().size();
      //_c["charged"] -> fill(numPartcharged);
      //_c["all"] -> fill(numPart);
      const size_t numParticles = fs.particles().size();
      if (numParticles < 2) {
        MSG_DEBUG("Failed leptonic event cut");
        vetoEvent;
      }

      double rgap = g.gap();
      // Get the DIS kinematics
      double xbj  = dk.x();
      double ybj = dk.y();
      double Q2 = dk.Q2()/GeV;
      double W = sqrt(dk.W2()/GeV);
      bool cut = Q2 >10 && Q2<640 && xbj>0.0003 && xbj<0.01 && ybj>0.04 && ybj<1.0;
      if (!cut) vetoEvent;


      size_t idx = _axis.index(Q2);
      string edge = "OTHER";
      if(idx && idx <= _edges.size()) edge=_edges[idx-1];

      
      _h_multK0_1 -> fill(edge);
      _h_multK0_2 -> fill(edge,numPartcharged);

      _c["dis"] -> fill();

      for(const Particle& p : ufs.particles()){
          const double eta= p.eta();
          const double pT = p.pT()/GeV;
      const int pid = abs(p.pid());
          //const double ybj= (p.E()-p.pz())/(2*27.5);
          if (pid == 310 || pid == 130) {  //K0S
             //cout << " pid " << pid << " eta " << eta << endl;
             if (pT>0.5  && pT<4.0){
                //fill histograms related to the kaons in here.
                _h["pT_kaon"] -> fill(pT,0.5/pT);
                _h["eta_kaon"] -> fill(eta);
                _h_multK0_0 -> fill(edge);
                _h_multK0_3 -> fill(edge);
                if(rgap<1.5 && W>140.0 ) {
                   _h["K0_LRG_data_pT"] -> fill(pT,0.5/pT);
                   _h["K0_LRG_data_eta"] -> fill(eta);
                   //cout<< abs(eta) <<endl;
                }
                else if(rgap>1.5 && W>140.0) {
                   _h["K0_NRG_data_pT"] -> fill(pT,0.5/pT);
                   _h["K0_NRG_data_eta"] -> fill(eta);
                }
             }
          }
          else if (pid==3122){ // Lambda
             if (pT>0.5  && pT<3.5){
                //fill histograms related to the lambdas  in here.
                _h["pT_lambda"] -> fill(pT,0.5/pT);
                _h["eta_lambda"] -> fill(eta);
             }
          }
     }

    }


    /// Normalise histograms etc., after the run
    void finalize() {
      divide(_h_multK0_0, _h_multK0_1, _h_scat);
      divide(_h_multK0_3, _h_multK0_2, _h_scatratio);


      //cout<< "#of kaons per events"<< kaon/numEvents() <<endl;
      //cout<< "Num mean charged p multiplicity"<< *_c["charged"]<< endl;
      scale(_h["pT_kaon"],1./ *_c["dis"]);
      scale(_h["eta_kaon"],1./ *_c["dis"]);
      scale(_h["pT_lambda"],1./ *_c["dis"]);
      scale(_h["eta_lambda"],1./ *_c["dis"]);
      scale(_h["K0_LRG_data_pT"],1./ *_c["dis"]);
      scale(_h["K0_NRG_data_pT"],1./ *_c["dis"]);
      scale(_h["K0_LRG_data_eta"],1./ *_c["dis"]);
      scale(_h["K0_NRG_data_eta"],1./ *_c["dis"]);

    }

    ///@}


   private:
    
    /// @name Histograms
    ///@{
    map<string, Histo1DPtr> _h;
    map<string, Profile1DPtr> _p;
    map<string, CounterPtr> _c;
    BinnedEstimatePtr<string> _h_scat, _h_scatratio ;
    BinnedHistoPtr<string> _h_multK0_0 , _h_multK0_1 ,_h_multK0_2 ,_h_multK0_3 ;
    YODA::Axis<double> _axis = YODA::Axis<double>{8.98, 12.195, 15.41, 32.535,106.89, 240.31};
    vector<string> _edges;
    ///@}
    
  };


  RIVET_DECLARE_PLUGIN(ZEUS_1995_I395196);

}