//---------------------------------------------------------------------- /// \file /// \page Example10 10 - extracting subjets /// /// fastjet example program to show how to access subjets; /// /// See also 12-boosted_higgs.cc to see the use of subjets for /// identifying boosted higgs (and other objects) /// /// run it with : ./10-subjets < data/single-event.dat /// /// Source code: 10-subjets.cc //---------------------------------------------------------------------- //STARTHEADER // $Id: 10-subjets.cc 2742 2011-11-22 22:27:08Z salam $ // // Copyright (c) 2005-2011, Matteo Cacciari, Gavin P. Salam and Gregory Soyez // //---------------------------------------------------------------------- // This file is part of FastJet. // // FastJet is free software; you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 2 of the License, or // (at your option) any later version. // // The algorithms that underlie FastJet have required considerable // development and are described in hep-ph/0512210. If you use // FastJet as part of work towards a scientific publication, please // include a citation to the FastJet paper. // // FastJet is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with FastJet. If not, see . //---------------------------------------------------------------------- //ENDHEADER #include "fastjet/ClusterSequence.hh" #include // needed for io #include // needed for io using namespace std; using namespace fastjet; int main(){ // read in input particles //---------------------------------------------------------- vector input_particles; double px, py , pz, E; while (cin >> px >> py >> pz >> E) { // create a PseudoJet with these components and put it onto // back of the input_particles vector input_particles.push_back(PseudoJet(px,py,pz,E)); } // create a jet definition: // for subjet studies, Cambridge/Aachen is the natural algorithm //---------------------------------------------------------- double R = 1.0; JetDefinition jet_def(cambridge_algorithm, R); // run the jet clustering with the above jet definition // and get the jets above 5 GeV //---------------------------------------------------------- ClusterSequence clust_seq(input_particles, jet_def); double ptmin = 6.0; vector inclusive_jets = sorted_by_pt(clust_seq.inclusive_jets(ptmin)); // extract the subjets at a smaller angular scale (Rsub=0.5) // // This is done by using ClusterSequence::exclusive_subjets(dcut): // for the Cambridge/Aachen algorithm, running with R and then // asking for exclusive subjets with dcut should give the same // subjets as rerunning the algorithm with R'=R*sqrt(dcut) on the // jet's constituents. // // At the same time we output a summary of what has been done and the // resulting subjets //---------------------------------------------------------- double Rsub = 0.5; double dcut = pow(Rsub/R,2); // a "header" for the output cout << "Ran " << jet_def.description() << endl; cout << "Showing the jets above " << ptmin << " GeV" << endl; cout << "And their subjets for Rsub = " << Rsub << endl; printf("%10s %15s %15s %15s %15s\n","jet #", "rapidity", "phi", "pt", "n constituents"); // show the jets and their subjets for (unsigned int i = 0; i < inclusive_jets.size(); i++) { // get the subjets vector subjets = sorted_by_pt(inclusive_jets[i].exclusive_subjets(dcut)); cout << endl; // print the jet and its subjets printf("%5u %15.8f %15.8f %15.8f %8d\n", i, inclusive_jets[i].rap(), inclusive_jets[i].phi(), inclusive_jets[i].perp(), int(inclusive_jets[i].constituents().size())); for (unsigned int j=0; j