main63

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// main63.cc is a part of the PYTHIA event generator.
// Copyright (C) 2021 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:
//            Userhooks
//            Biasing

// Example on how to enhance rare emission rates, in this case q -> q
// gamma. To concentrate on the photons from the showers, MPI and
// hadronization are switched off by default.

#include "Pythia8/Pythia.h"
using namespace Pythia8;

int main() {

  // Histogram pT spectrum of photons and event weights.
  Hist gamNoEnh(   "gamma pT spectrum, no enhancement",   100, 0., 100.);
  Hist gamWithEnh( "gamma pT spectrum, with enhancement", 100, 0., 100.);
  Hist gamRatio("gamma pT spectrum, with/no enhancement", 100, 0., 100.);
  Hist gamBefWt(   "gamma pT spectrum, without weight",   100, 0., 100.);
  Hist eventWt(    "log10(event weight)",                 100, -7., 3.);

  // Compare generation without and with enhanced q -> q gamma emission.
  for (int iCase = 0; iCase < 2; ++iCase) {

    // Generator.
    Pythia pythia;
    pythia.readFile("main63.cmnd");
    int nEvent = pythia.mode("Main:numberOfEvents");

    // No enhancement.
    if (iCase == 0)
      pythia.readString("Enhancements:doEnhance = false");

    // LHC initialization.
    pythia.init();

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

      // Generate events. Find and histogram event weight.
      pythia.next();
      double weight = (iCase == 1) ? pythia.info.weight() : 1.;
      if (iCase == 1) eventWt.fill( log10(weight) );
      sumWt += weight;

      // Find all final-state photons and histogram them.
      for (int i = 0; i < pythia.event.size(); ++i)
      if (pythia.event[i].isFinal() && pythia.event[i].id() == 22) {
        double pT = pythia.event[i].pT();
        if (iCase == 0) gamNoEnh.fill(   pT, 1.);
        if (iCase == 1) gamBefWt.fill(   pT, 1.);
        if (iCase == 1) gamWithEnh.fill( pT, weight);
      }

    // End of event loop.
    }

    // Statistics.
    pythia.stat();
    cout << "\n Average event weight = " << scientific
         << sumWt / nEvent << endl;

    // End of case loop.
  }

  // Write histograms to output stream.
  gamRatio = gamWithEnh / gamNoEnh;
  cout << gamNoEnh << gamWithEnh << gamRatio << gamBefWt << eventWt;

  // Write histogram data to files.
  ofstream write;
  write.open("PTA_0");
  gamNoEnh.table(write);
  write.close();
  write.open("PTA_1");
  gamWithEnh.table(write);
  write.close();

  // Done.
  return 0;
}