#include "fastjet/PseudoJet.hh"#include "fastjet/ClusterSequence.hh"#include <iostream>#include <sstream>#include <valarray>#include <vector>#include <cstdlib>#include <cstddef>#include "CmdLine.hh"#include "PxConePlugin.hh"#include "SISConePlugin.hh"#include "CDFMidPointPlugin.hh"#include "CDFJetCluPlugin.hh"Include dependency graph for fastjet_timing_plugins.cc:
Go to the source code of this file.
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| double | pow2 (const double x) |
| int | main (int argc, char **argv) |
| a program to test and time the kt algorithm as implemented in fastjet | |
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a program to test and time the kt algorithm as implemented in fastjet
Definition at line 114 of file fastjet_timing_plugins.cc. References CmdLine::all_options_used(), Best, fastjet::cambridge_algorithm, fastjet::ClusterSequence::constituents(), fastjet::JetDefinition::description(), fastjet::ClusterSequence::history_element::dij, CmdLine::double_val(), fastjet::ClusterSequence::exclusive_jets(), fastjet::ClusterSequence::extras(), fastjet::ClusterSequence::history(), fastjet::ClusterSequence::inclusive_jets(), CmdLine::int_val(), fastjet::kt_algorithm, fastjet::SISConeExtras::most_ambiguous_split(), fastjet::ClusterSequence::history_element::parent1, fastjet::ClusterSequence::history_element::parent2, pow2(), CmdLine::present(), fastjet::PseudoJet::rap(), fastjet::sorted_by_E(), fastjet::sorted_by_pt(), fastjet::ClusterSequence::strategy_string(), twopi, fastjet::ClusterSequence::unique_history_order(), and CmdLine::value(). 00114 {
00115
00116 CmdLine cmdline(argc,argv);
00117 // allow the use to specify the fj::Strategy either through the
00118 // -clever or the -strategy options (both will take numerical
00119 // values); the latter will override the former.
00120 fj::Strategy strategy = fj::Strategy(cmdline.int_val("-strategy",
00121 cmdline.int_val("-clever", fj::Best)));
00122 int repeat = cmdline.int_val("-repeat",1);
00123 int combine = cmdline.int_val("-combine",1);
00124 bool write = cmdline.present("-write");
00125 bool unique_write = cmdline.present("-unique_write");
00126 bool hydjet = cmdline.present("-hydjet");
00127 double ktR = cmdline.double_val("-r",1.0);
00128 ktR = cmdline.double_val("-R",ktR); // allow -r and -R
00129 double inclkt = cmdline.double_val("-incl",-1.0);
00130 int excln = cmdline.int_val ("-excln",-1);
00131 double excld = cmdline.double_val("-excld",-1.0);
00132 double etamax = cmdline.double_val("-etamax",1.0e305);
00133 bool show_constituents = cmdline.present("-const");
00134 bool massless = cmdline.present("-massless");
00135 int nev = cmdline.int_val("-nev",1);
00136 bool add_dense_coverage = cmdline.present("-dense");
00137
00138 bool show_cones = cmdline.present("-cones"); // only works for siscone
00139
00140 // for cone algorithms
00141 // allow -f and -overlap
00142 double overlap_threshold = cmdline.double_val("-overlap",0.5);
00143 overlap_threshold = cmdline.double_val("-f",overlap_threshold);
00144 double seed_threshold = cmdline.double_val("-seed",1.0);
00145
00146 // The following option causes the Cambridge algo to be used.
00147 // Note that currently the only output that works sensibly here is
00148 // "-incl 0"
00149 fj::JetDefinition jet_def;
00150 if (cmdline.present("-cam")) {
00151 jet_def = fj::JetDefinition(fj::cambridge_algorithm, ktR, strategy);
00152 } else if (cmdline.present("-midpoint")) {
00153 typedef fj::CDFMidPointPlugin MPPlug; // for brevity
00154 double cone_area_fraction = 1.0;
00155 int max_pair_size = 2;
00156 int max_iterations = 100;
00157 MPPlug::SplitMergeScale sm_scale = MPPlug::SM_pt;
00158 if (cmdline.present("-sm-pttilde")) sm_scale = MPPlug::SM_pttilde;
00159 if (cmdline.present("-sm-pt")) sm_scale = MPPlug::SM_pt; // default
00160 if (cmdline.present("-sm-mt")) sm_scale = MPPlug::SM_mt;
00161 if (cmdline.present("-sm-Et")) sm_scale = MPPlug::SM_Et;
00162 jet_def = fj::JetDefinition( new fj::CDFMidPointPlugin (
00163 seed_threshold, ktR,
00164 cone_area_fraction, max_pair_size,
00165 max_iterations, overlap_threshold,
00166 sm_scale));
00167 } else if (cmdline.present("-pxcone")) {
00168 double min_jet_energy = 5.0;
00169 jet_def = fj::JetDefinition( new fj::PxConePlugin (
00170 ktR, min_jet_energy,
00171 overlap_threshold));
00172 } else if (cmdline.present("-jetclu")) {
00173 double seed_threshold = 1.0;
00174 jet_def = fj::JetDefinition( new fj::CDFJetCluPlugin (
00175 ktR, overlap_threshold, seed_thshold));
00176 } else if (cmdline.present("-siscone")) {
00177 typedef fj::SISConePlugin SISPlug; // for brevity
00178 int npass = cmdline.value("-npass",1);
00179 SISPlug * plugin = new SISPlug (ktR, overlap_threshold,npass);
00180 if (cmdline.present("-sm-pt")) plugin->set_split_merge_scale(SISPlug::SM_pt);
00181 if (cmdline.present("-sm-mt")) plugin->set_split_merge_scale(SISPlug::SM_mt);
00182 if (cmdline.present("-sm-Et")) plugin->set_split_merge_scale(SISPlug::SM_Et);
00183 if (cmdline.present("-sm-pttilde")) plugin->set_split_merge_scale(SISPlug::SM_pttilde);
00184 jet_def = fj::JetDefinition(plugin);
00185 } else {
00186 jet_def = fj::JetDefinition(fj::kt_algorithm, ktR, strategy);
00187 }
00188
00189
00190
00191 if (!cmdline.all_options_used()) {cerr <<
00192 "Error: some options were not recognized"<<endl;
00193 exit(-1);}
00194
00195
00196 for (int iev = 0; iev < nev; iev++) {
00197 vector<fj::PseudoJet> jets;
00198 string line;
00199 int ndone = 0;
00200 while (getline(cin, line)) {
00201 //cout << line<<endl;
00202 istringstream linestream(line);
00203 if (line == "#END") {
00204 ndone += 1;
00205 if (ndone == combine) {break;}
00206 }
00207 if (line.substr(0,1) == "#") {continue;}
00208 valarray<double> fourvec(4);
00209 if (hydjet) {
00210 // special reading from hydjet.txt event record (though actually
00211 // this is supposed to be a standard pythia event record, so
00212 // being able to read from it is perhaps not so bad an idea...)
00213 int ii, istat,id,m1,m2,d1,d2;
00214 double mass;
00215 linestream >> ii>> istat >> id >> m1 >> m2 >> d1 >> d2
00216 >> fourvec[0] >> fourvec[1] >> fourvec[2] >> mass;
00217 // current file contains mass of particle as 4th entry
00218 if (istat == 1) {
00219 fourvec[3] = sqrt(+pow2(fourvec[0])+pow2(fourvec[1])
00220 +pow2(fourvec[2])+pow2(mass));
00221 }
00222 } else {
00223 if (massless) {
00224 linestream >> fourvec[0] >> fourvec[1] >> fourvec[2];
00225 fourvec[3] = sqrt(pow2(fourvec[0])+pow2(fourvec[1])+pow2(fourvec[2]));}
00226 else {
00227 linestream >> fourvec[0] >> fourvec[1] >> fourvec[2] >> fourvec[3];
00228 }
00229 }
00230 fj::PseudoJet psjet(fourvec);
00231 if (abs(psjet.rap() < etamax)) {jets.push_back(psjet);}
00232 }
00233
00234 // add a fake underlying event which is very soft, uniformly distributed
00235 // in eta,phi so as to allow one to reconstruct the area that is associated
00236 // with each jet.
00237 if (add_dense_coverage) {
00238 srand(2);
00239 int nphi = 60;
00240 int neta = 100;
00241 double kt = 1e-1;
00242 for (int iphi = 0; iphi<nphi; iphi++) {
00243 for (int ieta = -neta; ieta<neta+1; ieta++) {
00244 double phi = (iphi+0.5) * (fj::twopi/nphi) + rand()*0.001/RAND_MAX;
00245 double eta = ieta * (10.0/neta) + rand()*0.001/RAND_MAX;
00246 kt = 0.0000001*(1+rand()*0.1/RAND_MAX);
00247 double pminus = kt*exp(-eta);
00248 double pplus = kt*exp(+eta);
00249 double px = kt*sin(phi);
00250 double py = kt*cos(phi);
00251 //cout << kt<<" "<<eta<<" "<<phi<<"\n";
00252 fj::PseudoJet mom(px,py,0.5*(pplus-pminus),0.5*(pplus+pminus));
00253 jets.push_back(mom);
00254 }
00255 }
00256 }
00257
00258 for (int irepeat = 0; irepeat < repeat ; irepeat++) {
00259 fj::ClusterSequence clust_seq(jets,jet_def,write);
00260 if (irepeat != 0) {continue;}
00261 cout << "iev "<<iev<< ": number of particles = "<< jets.size() << endl;
00262 cout << "strategy used = "<< clust_seq.strategy_string()<< endl;
00263 cout << "Algorithm: " << jet_def.description() << endl;
00264
00265 // now provide some nice output...
00266 if (inclkt >= 0.0) {
00267 vector<fj::PseudoJet> jets = sorted_by_pt(clust_seq.inclusive_jets(inclkt));
00268 for (size_t j = 0; j < jets.size(); j++) {
00269 //printf("%5u %15.8f %15.8f %15.8e\n",j,jets[j].rap(),jets[j].phi(),sqrt(jets[j].kt2()));
00270 printf("%5u %15.8f %15.8f %15.8f\n",j,jets[j].rap(),jets[j].phi(),sqrt(jets[j].kt2()));
00271 if (show_constituents) {
00272 vector<fj::PseudoJet> const_jets = clust_seq.constituents(jets[j]);
00273 for (size_t k = 0; k < const_jets.size(); k++) {
00274 printf(" jet%03u %15.8f %15.8f %15.8f\n",j,const_jets[k].rap(),
00275 const_jets[k].phi(),sqrt(const_jets[k].kt2()));
00276 }
00277 cout << "\n\n";
00278 }
00279 }
00280 }
00281
00282 if (excln > 0) {
00283 vector<fj::PseudoJet> jets = sorted_by_E(clust_seq.exclusive_jets(excln));
00284
00285 cout << "Printing "<<excln<<" exclusive jets\n";
00286 for (size_t j = 0; j < jets.size(); j++) {
00287 printf("%5u %15.8f %15.8f %15.8f\n",
00288 //j,jets[j].rap(),jets[j].phi(),sqrt(jets[j].kt2()));
00289 j,jets[j].rap(),jets[j].phi(),jets[j].kt2());
00290 }
00291 }
00292
00293 if (excld > 0.0) {
00294 vector<fj::PseudoJet> jets = sorted_by_pt(clust_seq.exclusive_jets(excld));
00295 cout << "Printing exclusive jets for d = "<<excld<<"\n";
00296 for (size_t j = 0; j < jets.size(); j++) {
00297 printf("%5u %15.8f %15.8f %15.8f\n",
00298 j,jets[j].rap(),jets[j].phi(),sqrt(jets[j].kt2()));
00299 }
00300 }
00301
00302 // useful for testing that recombination sequences are unique
00303 if (unique_write) {
00304 vector<int> unique_history = clust_seq.unique_history_order();
00305 // construct the inverse of the above mapping
00306 vector<int> inv_unique_history(clust_seq.history().size());
00307 for (unsigned int i = 0; i < unique_history.size(); i++) {
00308 inv_unique_history[unique_history[i]] = i;}
00309
00310 for (unsigned int i = 0; i < unique_history.size(); i++) {
00311 fj::ClusterSequence::history_element el =
00312 clust_seq.history()[unique_history[i]];
00313 int uhp1 = el.parent1>=0 ? inv_unique_history[el.parent1] : el.parent1;
00314 int uhp2 = el.parent2>=0 ? inv_unique_history[el.parent2] : el.parent2;
00315 printf("%7d u %15.8e %7d u %7d u\n",i,el.dij,uhp1, uhp2);
00316 }
00317 }
00318
00319
00320 // provide some complementary information for SISCone
00321 if (show_cones) {
00322 const fj::SISConeExtras * extras =
00323 dynamic_cast<const fj::SISConeExtras *>(clust_seq.extras());
00324 cout << "most ambiguous split (difference in squared dist) = "
00325 << extras->most_ambiguous_split() << endl;
00326 }
00327 } // irepeat
00328
00329 } // iev
00330 }
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Definition at line 111 of file fastjet_timing_plugins.cc. 00111 {return x*x;}
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1.4.2