//---------------------------------------------------------------------- /// \file /// \page Example06 06 - using jet areas /// /// fastjet example program for jet areas /// It mostly illustrates the usage of the /// fastjet::AreaDefinition and fastjet::ClusterSequenceArea classes /// /// run it with : ./06-area < data/single-event.dat /// /// Source code: 06-area.cc //---------------------------------------------------------------------- //STARTHEADER // $Id: 06-area.cc 2684 2011-11-14 07:41:44Z soyez $ // // 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/ClusterSequenceArea.hh" // use this instead of the "usual" ClusterSequence to get area support #include // needed for io #include // needed for io using namespace std; /// an example program showing how to use fastjet int main(){ // read in input particles //---------------------------------------------------------- vector input_particles; double px, py , pz, E; while (cin >> px >> py >> pz >> E) { // create a fastjet::PseudoJet with these components and put it onto // back of the input_particles vector input_particles.push_back(fastjet::PseudoJet(px,py,pz,E)); } // create a jet definition: // a jet algorithm with a given radius parameter //---------------------------------------------------------- double R = 0.6; fastjet::JetDefinition jet_def(fastjet::kt_algorithm, R); // Now we also need an AreaDefinition to define the properties of the // area we want // // This is made of 2 building blocks: // - the area type: // passive, active, active with explicit ghosts, or Voronoi area // - the specifications: // a VoronoiSpec or a GhostedAreaSpec for the 3 ghost-bases ones // //---------------------------------------------------------- For // GhostedAreaSpec (as below), the minimal info you have to provide // is up to what rapidity ghosts are placed. // Other commonm parameters (that mostly have an impact on the // precision on the area) include the number of repetitions // (i.e. the number of different sets of ghosts that are used) and // the ghost density (controlled through the ghost_area). // Other, more exotic, parameters (not shown here) control how ghosts // are placed. // // The ghost rapidity interval should be large enough to cover the // jets for which you want to calculate. E.g. if you want to // calculate the area of jets up to |y|=4, you need to put ghosts up // to at least 4+R (or, optionally, up to the largest particle // rapidity if this is smaller). double maxrap = 5.0; unsigned int n_repeat = 3; // default is 1 double ghost_area = 0.01; // this is the default fastjet::GhostedAreaSpec area_spec(maxrap, n_repeat, ghost_area); fastjet::AreaDefinition area_def(fastjet::active_area, area_spec); // run the jet clustering with the above jet and area definitions // // The only change is the usage of a ClusterSequenceArea rather than //a ClusterSequence //---------------------------------------------------------- fastjet::ClusterSequenceArea clust_seq(input_particles, jet_def, area_def); // get the resulting jets ordered in pt //---------------------------------------------------------- double ptmin = 5.0; vector inclusive_jets = sorted_by_pt(clust_seq.inclusive_jets(ptmin)); // tell the user what was done // - the description of the algorithm and area used // - extract the inclusive jets with pt > 5 GeV // show the output as // {index, rap, phi, pt, number of constituents} //---------------------------------------------------------- cout << endl; cout << "Ran " << jet_def.description() << endl; cout << "Area: " << area_def.description() << endl << endl; // label the columns printf("%5s %15s %15s %15s %15s %15s\n","jet #", "rapidity", "phi", "pt", "area", "area error"); // print out the details for each jet for (unsigned int i = 0; i < inclusive_jets.size(); i++) { printf("%5u %15.8f %15.8f %15.8f %15.8f %15.8f\n", i, inclusive_jets[i].rap(), inclusive_jets[i].phi(), inclusive_jets[i].perp(), inclusive_jets[i].area(), inclusive_jets[i].area_error()); } return 0; }