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CMD3_2022_I2108984

Cross section for $e^+e^-\to K^0_SK^\pm\pi^\mp\pi^+\pi^-$ between 1.6 and 2 GeV by CMD3
Experiment: CMD3 (VEPP-2M)
Inspire ID: 2108984
Status: VALIDATED NOHEPDATA
Authors:
  • Peter Richrdson
References: Beams: e+ e-
Beam energies: ANY
Run details:
  • e+ e- to hadrons

Measurement of the cross section for $e^+e^-\to K^0_SK^\pm\pi^\mp\pi^+\pi^-$, and the resonant sub-processes $f_1(1285)\pi^+\pi^-$, for energies between 1.6 and 2 GeV by the CMD3 experiment

Source code: CMD3_2022_I2108984.cc
  1// -*- C++ -*-
  2#include "Rivet/Analysis.hh"
  3#include "Rivet/Projections/FinalState.hh"
  4#include "Rivet/Projections/UnstableParticles.hh"
  5
  6namespace Rivet {
  7
  8
  9  /// @brief e+e-> KS0 Kpi pi+pi-
 10  class CMD3_2022_I2108984 : public Analysis {
 11  public:
 12
 13    /// Constructor
 14    RIVET_DEFAULT_ANALYSIS_CTOR(CMD3_2022_I2108984);
 15
 16
 17    /// @name Analysis methods
 18    /// @{
 19
 20    /// Book histograms and initialise projections before the run
 21    void init() {
 22      // Initialise and register projections
 23      declare(FinalState(), "FS");
 24      declare(UnstableParticles(Cuts::pid==20223), "UFS");
 25      book(_sigma,1,1,1);
 26      for (const string& en : _sigma.binning().edges<0>()) {
 27        const size_t idx = en.find("-");
 28        if(idx!=std::string::npos) {
 29          const double emin = std::stod(en.substr(0,idx));
 30          const double emax = std::stod(en.substr(idx+1,string::npos));
 31          if(inRange(sqrtS()/MeV, emin, emax)) {
 32            _ecms.push_back(en);
 33          }
 34        }
 35        else {
 36          const double end = std::stod(en)*MeV;
 37          if (isCompatibleWithSqrtS(end)) {
 38            _ecms.push_back(en);
 39          }
 40        }
 41      }
 42      for (unsigned int ix=0; ix<2; ++ix) {
 43        book(_res[ix], "TMP/c_"+toString(ix),refData(2, 1, ix+1));
 44      }
 45    }
 46
 47    void findChildren(const Particle & p,map<long,int> & nRes, int &ncount) {
 48      for(const Particle &child : p.children()) {
 49        if (child.children().empty()) {
 50          --nRes[child.pid()];
 51          --ncount;
 52        }
 53        else {
 54          findChildren(child,nRes,ncount);
 55        }
 56      }
 57    }
 58
 59    /// Perform the per-event analysis
 60    void analyze(const Event& event) {
 61      // find the final-state particles
 62      const FinalState& fs = apply<FinalState>(event, "FS");
 63      map<long,int> nCount;
 64      int ntotal(0);
 65      for (const Particle& p : fs.particles()) {
 66        nCount[p.pid()] += 1;
 67        ++ntotal;
 68      }
 69      // the FS cross section
 70      bool foundFS = false;
 71      if (ntotal==5 && nCount[310]==1 &&
 72	        ( ( nCount[211]==2 && nCount[-211]==1 && nCount[-321] ==1 ) ||
 73            ( nCount[211]==1 && nCount[-211]==2 && nCount[ 321] ==1 ) ) ) {
 74        foundFS = true;
 75        for(const string & en : _ecms) _sigma->fill(en);
 76      }
 77      // check for intermediate f_1
 78      for (const Particle& p : apply<FinalState>(event, "UFS").particles()) {
 79        if (p.children().empty()) continue;
 80        map<long,int> nRes = nCount;
 81        int ncount = ntotal;
 82        findChildren(p,nRes,ncount);
 83        if(ncount!=2) continue;
 84        bool matched = true;
 85        for (const auto& val : nRes) {
 86          if (abs(val.first)==211 ) {
 87            if (val.second !=1) {
 88              matched = false;
 89              break;
 90            }
 91          }
 92          else if (val.second!=0) {
 93            matched = false;
 94            break;
 95          }
 96        }
 97        if (matched) {
 98          _res[1]->fill(sqrtS()/MeV);
 99          if (foundFS) _res[0]->fill(sqrtS()/MeV);
100          break;
101        }
102      }
103    }
104
105
106    /// Normalise histograms etc., after the run
107    void finalize() {
108      const double fact = crossSection()/nanobarn/sumOfWeights();
109      scale(_sigma,fact);
110      for(unsigned int ix=0;ix<2;++ix) {
111        scale(_res[ix], fact);
112        Estimate1DPtr tmp;
113        book(tmp,2,1,1+ix);
114        barchart(_res[ix],tmp);
115      }
116    }
117
118    /// @}
119
120
121    /// @name Histograms
122    /// @{
123    BinnedHistoPtr<string> _sigma;
124    Histo1DPtr _res[2];
125    vector<string> _ecms;
126    /// @}
127
128
129  };
130
131
132  RIVET_DECLARE_PLUGIN(CMD3_2022_I2108984);
133
134}