## main113

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    // main113.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
    //            Process selection
    //            Command file
    //            Matplotlib

    // This is a simple test program.
    // It illustrates how different processes can be selected and studied.
    // All input is specified in the main113.cmnd file.
    // Also illustrated output to be plotted by Python/Matplotlib/pyplot.
    // Assuming that you have Python3 installed on your platform, do as follows.
    // After the program has run, type "python3 plot113.py" (without the " ")
    // in a terminal window, and open "fig113a.pdf" and "fig113b.pdf".

    #include "Pythia8/Pythia.h"

    using namespace Pythia8;

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

    int main() {

      // Generator.
      Pythia pythia;

      // Shorthand for the event record in pythia.
      Event& event = pythia.event;

      // Read in commands from external file. Selects hard process and more.
      pythia.readFile("main113.cmnd");

      // Extract settings to be used in the main program.
      int nEvent = pythia.mode("Main:numberOfEvents");
      int nAbort = pythia.mode("Main:timesAllowErrors");

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

      // Book histograms.
      Hist pThard("process pT scale", 100, 0., 500.);
      Hist nFinal("final particle multiplicity", 100, -0.5, 1599.5);
      Hist nCharged("charged particle multiplicity", 100, -0.5, 799.5);
      Hist dndy("dn/dy for charged particles", 100, -10., 10.);
      Hist dndeta("dn/d(eta) for charged particles", 100, -10., 10.);
      Hist dndpT("dn/dpT for charged particles", 100, 0., 10.);
      Hist epCons("deviation from energy-momentum conservation", 100, 0., 1e-6);

      // Begin event loop.
      int iAbort = 0;
      for (int iEvent = 0; iEvent < nEvent; ++iEvent) {

        // Generate events. Quit if many failures.
        if (!pythia.next()) {
          if (++iAbort < nAbort) continue;
          cout << " Event generation aborted prematurely, owing to error!\n";
          break;
        }

        // Fill hard scale of event.
        pThard.fill( pythia.info.pTHat() );

        // Loop over final particles in the event.
        int  nFin = 0;
        int  nChg = 0;
        Vec4 pSum;
        for (int i = 0; i < event.size(); ++i) if (event[i].isFinal()) {

           // Analyze all particles.
          nFin++;
          pSum += event[i].p();

          // Analyze charged particles and fill histograms.
          if (event[i].isCharged()) {
            ++nChg;
            dndy.fill( event[i].y() );
            dndeta.fill( event[i].eta() );
            dndpT.fill( event[i].pT() );
          }

        // End of particle loop. Fill global properties.
        }
        nFinal.fill( nFin );
        nCharged.fill( nChg );
        pSum /= event[0].e();
        double epDev = abs(pSum.e() - 1.) + abs(pSum.px()) + abs(pSum.py())
          + abs(pSum.pz());
        epCons.fill(epDev);

      // End of event loop.
      }

      // Final statistics. Output normalized histograms.
      pythia.stat();
      double sigma = pythia.info.sigmaGen();
      pThard   *= sigma * 1e6 * 0.2 / nEvent;
      nFinal   *= 1. / (16. * nEvent);
      nCharged *= 1. / (8. * nEvent);
      dndy     *=  5. / nEvent;
      dndeta   *=  5. / nEvent;
      dndpT    *= 10. / nEvent;
      cout << pThard << nFinal << nCharged << dndy << dndeta << dndpT << epCons;

      // Write Python code that can generate a PDF file with the histograms.
      // Notably show how output can be distributed into several PDF files.
      // Use plotFrame when a frame should only contain one histogram.
      // Use frame - add - add - plot when several histograms in the same frame.
      // Colours and other choices can be omitted, but are shown as illustration.
      HistPlot hpl("plot113");
      hpl.plotFrame("fig113a", pThard, "$p_{\\perp}$ scale of hard interaction",
        "$p_{\\perp}$ (GeV)",
        "$\\mathrm{d}\\sigma/\\mathrm{d}p_{\\perp}$ (nb/GeV)",
        "h", "$p_{\\perp}$ of $2 \\to 2$ process", true);
      hpl.frame("", "Total and charged particle multiplicities",
        "$n$", "$\\mathrm{d}P/\\mathrm{d}n$");
      hpl.add( nFinal, "h,royalblue", "total");
      hpl.add( nCharged, "h,orange", "charged (even only!)");
      hpl.plot();
      hpl.frame( "fig113b", "Charged (pseudo)rapidity distribution",
        "$y$ or $\\eta$",
        "$\\mathrm{d}n_{\\mathrm{charged}}/\\mathrm{d}(y/\\eta)$");
      hpl.add( dndy, "-", "$\\mathrm{d}n_{\\mathrm{charged}}/\\mathrm{d}y$");
      hpl.add( dndeta, "--,magenta",
        "$\\mathrm{d}n_{\\mathrm{charged}}/\\mathrm{d}\\eta$");
      hpl.plot();
      hpl.plotFrame("", dndpT, "Charged $p_{\\perp}$ spectrum",
        "$p_{\\perp}$ (GeV)", "$\\mathrm{d}n_{\\mathrm{charged}}/\\mathrm{d}"
        "p_{\\perp}$ (GeV$^{-1}$)", "", "charged", true);

      // Done.
      return 0;
    }