FastJet 3.4.1
01-basic.cc
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1//----------------------------------------------------------------------
2/// \file
3/// \page Example01 01 - basic usage example
4///
5/// fastjet basic example program:
6/// simplest illustration of the usage of the basic classes:
7/// fastjet::PseudoJet, fastjet::JetDefinition and
8/// fastjet::ClusterSequence
9///
10/// run it with : ./01-basic < data/single-event.dat
11///
12/// Source code: 01-basic.cc
13//----------------------------------------------------------------------
14
15//STARTHEADER
16// $Id$
17//
18// Copyright (c) 2005-2018, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
19//
20//----------------------------------------------------------------------
21// This file is part of FastJet.
22//
23// FastJet is free software; you can redistribute it and/or modify
24// it under the terms of the GNU General Public License as published by
25// the Free Software Foundation; either version 2 of the License, or
26// (at your option) any later version.
27//
28// The algorithms that underlie FastJet have required considerable
29// development and are described in hep-ph/0512210. If you use
30// FastJet as part of work towards a scientific publication, please
31// include a citation to the FastJet paper.
32//
33// FastJet is distributed in the hope that it will be useful,
34// but WITHOUT ANY WARRANTY; without even the implied warranty of
35// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
36// GNU General Public License for more details.
37//
38// You should have received a copy of the GNU General Public License
39// along with FastJet. If not, see <http://www.gnu.org/licenses/>.
40//----------------------------------------------------------------------
41//ENDHEADER
42
43#include "fastjet/ClusterSequence.hh"
44#include <iostream> // needed for io
45#include <cstdio> // needed for io
46
47using namespace std;
48
49/// an example program showing how to use fastjet
50int main(){
51
52 // read in input particles
53 //----------------------------------------------------------
54 vector<fastjet::PseudoJet> input_particles;
55
56 double px, py , pz, E;
57 while (cin >> px >> py >> pz >> E) {
58 // create a fastjet::PseudoJet with these components and put it onto
59 // back of the input_particles vector
60 input_particles.push_back(fastjet::PseudoJet(px,py,pz,E));
61 }
62
63
64 // create a jet definition:
65 // a jet algorithm with a given radius parameter
66 //----------------------------------------------------------
67 double R = 0.6;
69
70
71 // run the jet clustering with the above jet definition
72 //----------------------------------------------------------
73 fastjet::ClusterSequence clust_seq(input_particles, jet_def);
74
75
76 // get the resulting jets ordered in pt
77 //----------------------------------------------------------
78 double ptmin = 5.0;
79 vector<fastjet::PseudoJet> inclusive_jets = sorted_by_pt(clust_seq.inclusive_jets(ptmin));
80
81
82 // tell the user what was done
83 // - the description of the algorithm used
84 // - extract the inclusive jets with pt > 5 GeV
85 // show the output as
86 // {index, rap, phi, pt}
87 //----------------------------------------------------------
88 cout << "Ran " << jet_def.description() << endl;
89
90 // label the columns
91 printf("%5s %15s %15s %15s\n","jet #", "rapidity", "phi", "pt");
92
93 // print out the details for each jet
94 for (unsigned int i = 0; i < inclusive_jets.size(); i++) {
95 printf("%5u %15.8f %15.8f %15.8f\n",
96 i, inclusive_jets[i].rap(), inclusive_jets[i].phi(),
97 inclusive_jets[i].perp());
98 }
99
100 return 0;
101}
int main()
an example program showing how to use fastjet
Definition: 01-basic.cc:50
deals with clustering
std::vector< PseudoJet > inclusive_jets(const double ptmin=0.0) const
return a vector of all jets (in the sense of the inclusive algorithm) with pt >= ptmin.
class that is intended to hold a full definition of the jet clusterer
std::string description() const
return a textual description of the current jet definition
Class to contain pseudojets, including minimal information of use to jet-clustering routines.
Definition: PseudoJet.hh:68
@ antikt_algorithm
like the k_t but with distance measures dij = min(1/kti^2,1/ktj^2) Delta R_{ij}^2 / R^2 diB = 1/kti^2