main261
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// main261.cc is a part of the PYTHIA event generator.
// Copyright (C) 2024 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("main261.cmnd");
int nEvent = pythia.mode("Main:numberOfEvents");
// No enhancement.
if (iCase == 0)
pythia.readString("Enhancements:doEnhance = false");
// If Pythia fails to initialize, exit with error.
if (!pythia.init()) return 1;
// 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.dat");
gamNoEnh.table(write);
write.close();
write.open("PTA_1.dat");
gamWithEnh.table(write);
write.close();
// Done.
return 0;
}