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| // -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/SmearedParticles.hh"
namespace Rivet {
/// Multiplicities and pT spectra from STAR for pp at 200 GeV
class STAR_2008_S7869363 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(STAR_2008_S7869363);
/// @name Analysis methods
/// @{
/// Book histograms and initialise projections before the run
void init() {
const ChargedFinalState cfs(Cuts::abseta < 0.5 && Cuts::pT > 0.2*GeV);
const SmearedParticles lfs(cfs, [](const Particle& p) {
// Track reconstruction efficiencies for tracks with pT from 0 to 600 MeV
// in steps of 50 MeV. The efficiency is assumed to be 0.88 for pT >= 600 MeV
const static vector<double> TRKEFF = {0,0,0.38,0.72,0.78,0.81,0.82,0.84,0.85,0.86,0.87,0.88};
const size_t idx = size_t(min(floor(p.pT()/MeV/50), 11.));
return TRKEFF[idx];
});
declare(lfs, "FS");
book(_h_dNch ,1, 1, 1);
book(_h_dpT_Pi ,2, 1, 1);
book(_h_dpT_Piplus ,2, 1, 2);
book(_h_dpT_Kaon ,2, 1, 3);
book(_h_dpT_Kaonplus ,2, 1, 4);
book(_h_dpT_AntiProton ,2, 1, 5);
book(_h_dpT_Proton ,2, 1, 6);
// book(nCutsPassed, "nCutsPassed");
// book(nPi, "nPi");
// book(nPiPlus, "nPiPlus");
// book(nKaon, "nKaon");
// book(nKaonPlus, "nKaonPlus");
// book(nProton, "nProton");
// book(nAntiProton, "nAntiProton");
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const ParticleFinder& charged = apply<ParticleFinder>(event, "FS");
// Vertex reconstruction efficiencies as a function of charged multiplicity.
// For events with more than 23 reconstructed tracks the efficiency is 100%.
double vtxeffs[24] = { 0.000000,0.512667,0.739365,0.847131,0.906946,0.940922,0.959328,0.96997,
0.975838,0.984432,0.988311,0.990327,0.990758,0.995767,0.99412,0.992271,
0.996631,0.994802,0.99635,0.997384,0.998986,0.996441,0.994513,1.000000 };
double vtxeff = 1.0;
if (charged.particles().size() < 24) {
vtxeff = vtxeffs[charged.particles().size()];
}
const double weight = vtxeff;
for (const Particle& p : charged.particles()) {
double pT = p.pT()/GeV;
double y = p.rapidity();
if (fabs(y) < 0.1) {
// nCutsPassed->fill(weight);
const PdgId id = p.pid();
switch (id) {
case -211:
_h_dpT_Pi->fill(pT, weight/(TWOPI*pT*0.2));
// nPi->fill(weight);
break;
case 211:
_h_dpT_Piplus->fill(pT, weight/(TWOPI*pT*0.2));
// nPiPlus->fill(weight);
break;
case -321:
_h_dpT_Kaon->fill(pT, weight/(TWOPI*pT*0.2));
// nKaon->fill(weight);
break;
case 321:
_h_dpT_Kaonplus->fill(pT, weight/(TWOPI*pT*0.2));
// nKaonPlus->fill(weight);
break;
case -2212:
_h_dpT_AntiProton->fill(pT, weight/(TWOPI*pT*0.2));
// nAntiProton->fill(weight);
break;
case 2212:
_h_dpT_Proton->fill(pT, weight/(TWOPI*pT*0.2));
// nProton->fill(weight);
break;
}
}
else {
continue;
}
}
_h_dNch->fill(charged.particles().size(), weight);
}
/// Normalise histograms etc., after the run
void finalize() {
//double nTot = nPi + nPiPlus + nKaon + nKaonPlus + nProton + nAntiProton;
normalize(_h_dNch);
/// @todo Norm to data!
normalize(_h_dpT_Pi , 0.389825 );
normalize(_h_dpT_Piplus , 0.396025 );
normalize(_h_dpT_Kaon , 0.03897 );
normalize(_h_dpT_Kaonplus , 0.04046 );
normalize(_h_dpT_AntiProton, 0.0187255);
normalize(_h_dpT_Proton , 0.016511 );
}
/// @}
/// @name Histograms
/// @{
Histo1DPtr _h_dNch;
Histo1DPtr _h_dpT_Pi, _h_dpT_Piplus;
Histo1DPtr _h_dpT_Kaon, _h_dpT_Kaonplus;
Histo1DPtr _h_dpT_AntiProton, _h_dpT_Proton;
Profile1DPtr _h_pT_vs_Nch;
//CounterPtr nCutsPassed, nPi, nPiPlus, nKaon, nKaonPlus, nProton, nAntiProton;
///@}
};
RIVET_DECLARE_ALIASED_PLUGIN(STAR_2008_S7869363, STAR_2008_I793126);
}
|