## main301

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    // main301.cc is a part of the PYTHIA event generator.
    // Copyright (C) 2025 Torbjorn Sjostrand.
    // PYTHIA is licenced under the GNU GPL v2 or later, see COPYING for details.
    // Please respect the MCnet Guidelines, see GUIDELINES for details.

    // Keywords:
    //            Basic usage
    //            Electron‑positron
    //            Event shapes
    //            Jet finding

    // This is a simple test program.
    // It studies event properties of LEP1 events.

    #include "Pythia8/Pythia.h"

    using namespace Pythia8;

    //==========================================================================

    int main() {

      // Generator.
      Pythia pythia;

      // Number of events.
      int nEvent = 10000;
      // Allow no substructure in e+- beams: normal for corrected LEP data.
      pythia.readString("PDF:lepton = off");
      // Process selection.
      pythia.readString("WeakSingleBoson:ffbar2gmZ = on");
      // Switch off all Z0 decays and then switch back on those to quarks.
      pythia.readString("23:onMode = off");
      pythia.readString("23:onIfAny = 1 2 3 4 5");

      // LEP1 initialization at Z0 mass.
      pythia.readString("Beams:idA =  11");
      pythia.readString("Beams:idB = -11");
      double mZ = pythia.particleData.m0(23);
      pythia.settings.parm("Beams:eCM", mZ);

      // If Pythia fails to initialize, exit with error.
      if (!pythia.init()) return 1;

      // Histograms.
      Hist nCharge("charged multiplicity", 100, -0.5, 99.5);
      Hist spheri("Sphericity", 100, 0., 1.);
      Hist linea("Linearity", 100, 0., 1.);
      Hist thrust("thrust", 100, 0.5, 1.);
      Hist oblateness("oblateness", 100, 0., 1.);
      Hist sAxis("cos(theta_Sphericity)", 100, -1., 1.);
      Hist lAxis("cos(theta_Linearity)", 100, -1., 1.);
      Hist tAxis("cos(theta_Thrust)", 100, -1., 1.);
      Hist nLund("Lund jet multiplicity", 40, -0.5, 39.5);
      Hist nJade("Jade jet multiplicity", 40, -0.5, 39.5);
      Hist nDurham("Durham jet multiplicity", 40, -0.5, 39.5);
      Hist eDifLund("Lund e_i - e_{i+1}", 100, -5.,45.);
      Hist eDifJade("Jade e_i - e_{i+1}", 100, -5.,45.);
      Hist eDifDurham("Durham e_i - e_{i+1}", 100, -5.,45.);

      // Set up Sphericity, "Linearity", Thrust and cluster jet analyses.
      Sphericity sph;
      Sphericity lin(1.);
      Thrust thr;
      ClusterJet lund("Lund");
      ClusterJet jade("Jade");
      ClusterJet durham("Durham");

      // Begin event loop. Generate event. Skip if error. List first few.
      for (int iEvent = 0; iEvent < nEvent; ++iEvent) {
        if (!pythia.next()) continue;

        // Find and histogram charged multiplicity.
        int nCh = 0;
        for (int i = 0; i < pythia.event.size(); ++i)
          if (pythia.event[i].isFinal() && pythia.event[i].isCharged()) ++nCh;
        nCharge.fill( nCh );

        // Find and histogram sphericity.
        if (sph.analyze( pythia.event )) {
          if (iEvent < 3) sph.list();
          spheri.fill( sph.sphericity() );
          sAxis.fill( sph.eventAxis(1).pz() );
          double e1 = sph.eigenValue(1);
          double e2 = sph.eigenValue(2);
          double e3 = sph.eigenValue(3);
          if (e2 > e1 || e3 > e2) cout << "eigenvalues out of order: "
          << e1 << "  " << e2 << "  " << e3 << endl;
        }

        // Find and histogram linearized sphericity.
        if (lin.analyze( pythia.event )) {
          if (iEvent < 3) lin.list();
          linea.fill( lin.sphericity() );
          lAxis.fill( lin.eventAxis(1).pz() );
          double e1 = lin.eigenValue(1);
          double e2 = lin.eigenValue(2);
          double e3 = lin.eigenValue(3);
          if (e2 > e1 || e3 > e2) cout << "eigenvalues out of order: "
          << e1 << "  " << e2 << "  " << e3 << endl;
        }

        // Find and histogram thrust.
        if (thr.analyze( pythia.event )) {
          if (iEvent < 3) thr.list();
          thrust.fill( thr.thrust() );
          oblateness.fill( thr.oblateness() );
          tAxis.fill( thr.eventAxis(1).pz() );
          if ( abs(thr.eventAxis(1).pAbs() - 1.) > 1e-8
            || abs(thr.eventAxis(2).pAbs() - 1.) > 1e-8
            || abs(thr.eventAxis(3).pAbs() - 1.) > 1e-8
            || abs(thr.eventAxis(1) * thr.eventAxis(2)) > 1e-8
            || abs(thr.eventAxis(1) * thr.eventAxis(3)) > 1e-8
            || abs(thr.eventAxis(2) * thr.eventAxis(3)) > 1e-8 ) {
            cout << " suspicious Thrust eigenvectors " << endl;
            thr.list();
          }
        }

        // Find and histogram cluster jets: Lund, Jade and Durham distance.
        if (lund.analyze( pythia.event, 0.01, 0.)) {
          if (iEvent < 3) lund.list();
          nLund.fill( lund.size() );
          for (int j = 0; j < lund.size() - 1; ++j)
            eDifLund.fill( lund.p(j).e() - lund.p(j+1).e() );
        }
        if (jade.analyze( pythia.event, 0.01, 0.)) {
          if (iEvent < 3) jade.list();
          nJade.fill( jade.size() );
          for (int j = 0; j < jade.size() - 1; ++j)
            eDifJade.fill( jade.p(j).e() - jade.p(j+1).e() );
        }
        if (durham.analyze( pythia.event, 0.01, 0.)) {
          if (iEvent < 3) durham.list();
          nDurham.fill( durham.size() );
          for (int j = 0; j < durham.size() - 1; ++j)
            eDifDurham.fill( durham.p(j).e() - durham.p(j+1).e() );
        }

      // End of event loop. Statistics. Output histograms.
      }
      pythia.stat();
      spheri *= 100. / nEvent;
      linea  *= 100. / nEvent;
      thrust *= 200. / nEvent;
      oblateness *= 100. / nEvent;
      nLund   *= 1. / nEvent;
      nJade   *= 1. / nEvent;
      nDurham *= 1. / nEvent;
      cout << nCharge << spheri << linea << thrust << oblateness
           << sAxis << lAxis << tAxis
           << nLund << nJade << nDurham
           << eDifLund << eDifJade << eDifDurham;

      // Plot some of the histograms.
      HistPlot hpl("plot301");
      hpl.frame("fig301", "Sphericity", "$S$", "$\\mathrm{d}N/\\mathrm{d}S$");
      hpl.add( spheri, "h", "sphericity");
      hpl.plot();
      hpl.frame("", "Linearity", "$L$", "$\\mathrm{d}N/\\mathrm{d}L$");
      hpl.add( linea, "h", "linearity");
      hpl.plot();
      hpl.frame("", "Thrust", "$T$", "$\\mathrm{d}N/\\mathrm{d}T$");
      hpl.add( thrust, "h", "thrust");
      hpl.plot();
      hpl.frame("", "Jet multiplicity", "$n_{\\mathrm{jet}}$", "Probability");
      hpl.add( nLund,   "h,black", "Lund");
      hpl.add( nJade,   "h,blue" , "Jade");
      hpl.add( nDurham, "h,red"  , "Durham");
      hpl.plot();

      // Done.
      return 0;
    }