Rivet analyses

Cross section for e+e → ΛΛ̄, Σ0Σ̄0 and ΛΣ̄0 between threshold and 3 GeV

Experiment: BABAR (PEP-II)

Inspire ID: 760730

Status: VALIDATED

Authors: - Peter Richardson

References: - Phys.Rev. D76 (2007) 092006

Beams: e+ e-

Beam energies: ANY

Run details: - e+e- to hadrons

Measurement of the cross section for e+e → ΛΛ̄ between threshold and 3 GeV.

Source code:BABAR_2007_I760730.cc

// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/UnstableParticles.hh"

namespace Rivet {


  /// @brief e+e- > hyperons
  class BABAR_2007_I760730 : public Analysis {
  public:

    /// Constructor
    RIVET_DEFAULT_ANALYSIS_CTOR(BABAR_2007_I760730);


    /// @name Analysis methods
    /// @{

    /// Book histograms and initialise projections before the run
    void init() {
      // Initialise and register projections
      declare(FinalState(), "FS");
      declare(UnstableParticles(), "UFS");
      book(_nLL, "/TMP/nLL");
      book(_nSS, "/TMP/nSS");
      book(_nLS, "/TMP/nLS");
    }

    void findChildren(const Particle& p, map<long, int>& nRes, int& ncount) {
      for (const Particle& child : p.children()) {
        if (child.children().empty()) {
          nRes[child.pid()] -= 1;
          --ncount;
        }
        else
          findChildren(child, nRes, ncount);
      }
    }

    /// Perform the per-event analysis
    void analyze(const Event& event) {
      const FinalState& fs = apply<FinalState>(event, "FS");
      // total hadronic and muonic cross sections
      map<long, int> nCount;
      int ntotal(0);
      for (const Particle& p : fs.particles()) {
        nCount[p.pid()] += 1;
        ++ntotal;
      }

      // find the Lambdas and Sigmas
      const FinalState& ufs = apply<UnstableParticles>(event, "UFS");
      for (unsigned int ix = 0; ix < ufs.particles().size(); ++ix) {
        const Particle& p1 = ufs.particles()[ix];
        if (abs(p1.pid()) != 3122 && abs(p1.pid()) != 3212) continue;
        bool matched = false;
        // check fs
        bool fs = true;
        for (const Particle& child : p1.children()) {
          if (child.pid() == p1.pid()) {
            fs = false;
            break;
          }
        }
        if (!fs) continue;
        // find the children
        map<long, int> nRes = nCount;
        int ncount = ntotal;
        findChildren(p1, nRes, ncount);
        for (unsigned int iy = ix + 1; iy < ufs.particles().size(); ++iy) {
          const Particle& p2 = ufs.particles()[iy];
          if (abs(p2.pid()) != 3122 && abs(p2.pid()) != 3212) continue;
          // check fs
          bool fs = true;
          for (const Particle& child : p2.children()) {
            if (child.pid() == p2.pid()) {
              fs = false;
              break;
            }
          }
          if (!fs) continue;
          map<long, int> nRes2 = nRes;
          int ncount2 = ncount;
          findChildren(p2, nRes2, ncount2);
          if (ncount2 != 0) continue;
          matched = true;
          for (const auto& val : nRes2) {
            if (val.second != 0) {
              matched = false;
              break;
            }
          }
          if (matched) {
            if (abs(p1.pid()) == 3122 && abs(p2.pid()) == 3122)
              _nLL->fill();
            else if (abs(p1.pid()) == 3212 && abs(p2.pid()) == 3212)
              _nSS->fill();
            else
              _nLS->fill();
            break;
          }
        }
        if (matched) break;
      }
    }

    /// Normalise histograms etc., after the run
    void finalize() {
      double fact = crossSection() / sumOfWeights() / picobarn;
      for (unsigned int ix = 1; ix < 4; ++ix) {
        double sigma, error;
        if (ix == 1) {
          sigma = _nLL->val() * fact;
          error = _nLL->err() * fact;
        }
        else if (ix == 2) {
          sigma = _nSS->val() * fact;
          error = _nSS->err() * fact;
        }
        else {
          sigma = _nLS->val() * fact;
          error = _nLS->err() * fact;
        }
        Estimate1DPtr mult;
        book(mult, ix, 1, 1);
        for (auto& b : mult->bins()) {
          if (inRange(sqrtS() / GeV, b.xMin(), b.xMax())) {
            b.set(sigma, error);
          }
        }
      }
    }

    /// @}


    /// @name Histograms
    /// @{
    CounterPtr _nLL, _nSS, _nLS;
    /// @}
  };


  RIVET_DECLARE_PLUGIN(BABAR_2007_I760730);


}