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| // -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/CentralityProjection.hh"
#include "Rivet/Projections/AliceCommon.hh"
#include "Rivet/Tools/AliceCommon.hh"
#include "Rivet/Tools/Cuts.hh"
namespace Rivet {
/// @brief Identified particles in p--Pb @ 5 TeV
class ALICE_2014_I1244523 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ALICE_2014_I1244523);
/// @name Analysis methods
//@{
int profileIndex(vector<double> cBins, double c) {
int index = 100;
if (c > 0 && c <= cBins[0]) return cBins.size() - 1;
for (size_t i = 0; i < cBins.size() - 1; ++i) {
if (c > cBins[i] && c <= cBins[i + 1]) {
index = i;
break;
}
}
// Catch low fluctuation.
return max(0, int(cBins.size() - index - 2));
}
void scaleHisto(Histo1DPtr h) {
vector<YODA::HistoBin1D>& bins = h->bins();
for (vector<YODA::HistoBin1D>::iterator b = bins.begin(); b != bins.end(); ++b) {
b->scaleW(1./b->width()/b->xMid());
}
}
/// Book histograms and initialise projections before the run
void init() {
// The centrality projection.
declareCentrality(ALICE::V0AMultiplicity(),
"ALICE_2015_PPBCentrality", "V0A", "V0A");
// Define the cuts for the analysis:
// pPb Collision has a centre of mass system shift of +0.465
// They study -0.5 < yCoM < 0.0 -> -0.035 < y < 0.465
const Cut& cut = Cuts::rap < 0.035 && Cuts::rap > -0.465;
//const Cut& cut = Cuts::rap > -0.035 && Cuts::rap < 0.465;
const ALICE::PrimaryParticles fs(cut);
declare(fs,"FS");
// The event trigger.
declare(ALICE::V0AndTrigger(), "V0-AND");
// The centrality bins
centralityBins = {5.,10.,20.,40.,60.,80.,100.};
for (int i = 0; i < 4; ++i) {
// First we book the invariant spectra.
book(_histPipT[centralityBins[i]], 1, 1, 1 + i);
if (i < 3) book(_histPipT[centralityBins[i + 4]], 2, 1, 1 + i);
book(_histKpT[centralityBins[i]], 3, 1, 1 + i);
if (i < 3) book(_histKpT[centralityBins[i + 4]], 4, 1, 1 + i);
book(_histK0SpT[centralityBins[i]], 5, 1, 1 + i);
if (i < 3) book(_histK0SpT[centralityBins[i + 4]], 6, 1, 1 + i);
book(_histProtonpT[centralityBins[i]], 7, 1, 1 + i);
if (i < 3) book(_histProtonpT[centralityBins[i + 4]], 8, 1, 1 + i);
book(_histLambdapT[centralityBins[i]], 9, 1, 1 + i);
if (i < 3) book(_histLambdapT[centralityBins[i + 4]], 10, 1, 1 + i);
// The associated sow counters.
book(_sow[centralityBins[i]], "TMP/sow" + toString(i));
if (i < 3) book(_sow[centralityBins[i + 4]], "TMP/sow" + toString(i + 4));
// Then the pi spectra going into the centrality dependent pT ratios.
book(_tmpPi4KpT[centralityBins[i]], "TMP/NPi4K" + toString(i), refData(11, 1, 1 + i));
if (i < 3) book(_tmpPi4KpT[centralityBins[i + 4]], "TMP/NPi4K" + toString(i + 4), refData(12, 1, 1 + i));
book(_tmpPi4PpT[centralityBins[i]], "TMP/NPi4P" + toString(i), refData(13, 1, 1 + i));
if (i < 3) book(_tmpPi4PpT[centralityBins[i + 4]], "TMP/NPi4P" + toString(i + 4), refData(14, 1, 1 + i));
book(_tmpK4LpT[centralityBins[i]], "TMP/NK4L" + toString(i), refData(15, 1, 1 + i));
if (i < 3) book(_tmpK4LpT[centralityBins[i + 4]], "TMP/NK4L" + toString(i + 4), refData(16, 1, 1 + i));
// Then the rest of the spectra going into the cent. dep't pT ratios.
book(_tmpKpT[centralityBins[i]], "TMP/NK" + toString(i), refData(11, 1, 1 + i));
if (i < 3) book(_tmpKpT[centralityBins[i + 4]], "TMP/NK" + toString(i + 4), refData(12, 1, 1 + i));
book(_tmpProtonpT[centralityBins[i]], "TMP/NP" + toString(i), refData(13, 1, 1 + i));
if (i < 3) book(_tmpProtonpT[centralityBins[i + 4]], "TMP/NP" + toString(i + 4), refData(14, 1, 1 + i));
book(_tmpLambdapT[centralityBins[i]], "TMP/NL" + toString(i), refData(15, 1, 1 + i));
if (i < 3) book(_tmpLambdapT[centralityBins[i + 4]], "TMP/NL" + toString(i + 4), refData(16, 1, 1 + i));
// Then the centrality dependent pT ratios.
book(_ratioKPi[centralityBins[i]], 11, 1, 1 + i, true);
if (i < 3) book(_ratioKPi[centralityBins[i + 4]], 12, 1, 1 + i, true);
book(_ratioPPi[centralityBins[i]], 13, 1, 1 + i, true);
if (i < 3) book(_ratioPPi[centralityBins[i + 4]], 14, 1, 1 + i, true);
book(_ratioLK[centralityBins[i]], 15, 1, 1 + i, true);
if (i < 3) book(_ratioLK[centralityBins[i + 4]], 16, 1, 1 + i, true);
}
// Mean pT vs. multiplicity class.
book(_histLambdaMeanpT, 17, 1, 1);
book(_histProtonMeanpT, 18, 1, 1);
book(_histK0SMeanpT, 19, 1, 1);
book(_histKMeanpT, 20, 1, 1);
book(_histPiMeanpT, 21, 1, 1);
// Yield ratios.
book(_histKtoPiYield, 22, 1, 1, true);
book(_histProtontoPiYield, 22, 1, 2, true);
book(_histLambdatoPiYield, 22, 1, 3, true);
book(_histKYield, "TMP/KY", refData(22,1,1));
book(_histProtonYield, "TMP/PrY",refData(22,1,2));
book(_histLambdaYield, "TMP/LY", refData(22,1,3));
book(_histPiYield, "TMP/PiY",refData(22,1,1));
book(_histPi4LYield, "TMP/PiLY",refData(22,1,3)); // HepData entry is wrong -- look in the paper.
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Event trigger.
if (!apply<ALICE::V0AndTrigger>(event, "V0-AND")() ) vetoEvent;
// Centrality
const CentralityProjection& cent = apply<CentralityProjection>(event,"V0A");
double c = cent();
// Find the index for the profiles.
int index = profileIndex(centralityBins, c);
// Find the correct histograms
// all the pion histos
auto pi1Itr = _histPipT.upper_bound(c);
// Test the first one.
if (pi1Itr == _histPipT.end()) return;
auto pi2Itr = _tmpPi4KpT.upper_bound(c);
auto pi3Itr = _tmpPi4PpT.upper_bound(c);
// Then the rest
auto kItr = _histKpT.upper_bound(c);
auto k0Itr = _histK0SpT.upper_bound(c);
auto krItr = _tmpKpT.upper_bound(c);
auto klItr = _tmpK4LpT.upper_bound(c);
auto pItr = _histProtonpT.upper_bound(c);
auto prItr = _tmpProtonpT.upper_bound(c);
auto lItr = _histLambdapT.upper_bound(c);
auto lrItr = _tmpLambdapT.upper_bound(c);
// And the sow
auto sowItr = _sow.upper_bound(c);
sowItr->second->fill();
const ALICE::PrimaryParticles& fs =
apply<ALICE::PrimaryParticles>(event,"FS");
// Count number of particles for yields.
int npi = 0, nk = 0, np = 0, nlam = 0;
for(auto p : fs.particles()) {
const double pT = p.pT();
const int pid = abs(p.pid());
const double nW = 1 / M_PI / pT; // Dividing and multiplying by 2 because dy.
if (pid == 211) { // pi+/-
++npi;
pi1Itr->second->fill(pT, nW);
pi2Itr->second->fill(pT);
pi3Itr->second->fill(pT);
_histPiMeanpT->fillBin(index, pT);
}
else if (pid == 321) { // K +/-
++nk;
kItr->second->fill(pT, nW);
krItr->second->fill(pT);
_histKMeanpT->fillBin(index, pT);
}
else if (pid == 310) { // K0S
k0Itr->second->fill(pT, nW);
klItr->second->fill(pT);
_histK0SMeanpT->fillBin(index, pT);
}
else if (pid == 2212) { // p + pbar
++np;
pItr->second->fill(pT, nW);
prItr->second->fill(pT);
_histProtonMeanpT->fillBin(index, pT);
}
else if (pid == 3122) { // Lambda + Lambdabar
++nlam;
lItr->second->fill(pT, nW);
lrItr->second->fill(pT);
_histLambdaMeanpT->fillBin(index, pT);
}
}
// Fill the yield profiles.
_histKYield->fillBin(index, double(nk));
_histPi4LYield->fillBin(index, double(npi));
_histProtonYield->fillBin(index, double(np));
_histPiYield->fillBin(index, double(npi));
_histLambdaYield->fillBin(index, double(nlam));
}
/// Normalise histograms etc., after the run
void finalize() {
// Loop over centrality classes.
for (int i = 0; i < 7; i++){
// Normalize the spectra.
_histPipT[centralityBins[i]]->scaleW(1./_sow[centralityBins[i]]->sumW());
_histKpT[centralityBins[i]]->scaleW(1./_sow[centralityBins[i]]->sumW());
_histK0SpT[centralityBins[i]]->scaleW(1./_sow[centralityBins[i]]->sumW());
_histProtonpT[centralityBins[i]]->scaleW(1./_sow[centralityBins[i]]->sumW());
_histLambdapT[centralityBins[i]]->scaleW(1./_sow[centralityBins[i]]->sumW());
// Make the pT ratios.
divide(_tmpKpT[centralityBins[i]], _tmpPi4KpT[centralityBins[i]],
_ratioKPi[centralityBins[i]]);
divide(_tmpProtonpT[centralityBins[i]], _tmpPi4PpT[centralityBins[i]],
_ratioPPi[centralityBins[i]]);
divide(_tmpLambdapT[centralityBins[i]], _tmpK4LpT[centralityBins[i]],
_ratioLK[centralityBins[i]]);
}
divide(_histKYield, _histPiYield, _histKtoPiYield);
divide(_histProtonYield, _histPiYield, _histProtontoPiYield);
divide(_histLambdaYield, _histPi4LYield, _histLambdatoPiYield);
}
//@}
private:
vector<double> centralityBins;
// pT spectra (separated by multiplicity classes)
map<double, Histo1DPtr> _histPipT;
map<double, Histo1DPtr> _histKpT;
map<double, Histo1DPtr> _histK0SpT;
map<double, Histo1DPtr> _histProtonpT;
map<double, Histo1DPtr> _histLambdapT;
// Associated sum of weights.
map<double, CounterPtr> _sow;
// pT spectra for ratios.
map<double, Histo1DPtr> _tmpPi4KpT;
map<double, Histo1DPtr> _tmpPi4PpT;
map<double, Histo1DPtr> _tmpK4LpT;
map<double, Histo1DPtr> _tmpKpT;
map<double, Histo1DPtr> _tmpProtonpT;
map<double, Histo1DPtr> _tmpLambdapT;
// The acual ratios.
map<double, Scatter2DPtr> _ratioKPi;
map<double, Scatter2DPtr> _ratioPPi;
map<double, Scatter2DPtr> _ratioLK;
// Mean pT vs. Multiplicity
Profile1DPtr _histKMeanpT;
Profile1DPtr _histK0SMeanpT;
Profile1DPtr _histProtonMeanpT;
Profile1DPtr _histLambdaMeanpT;
Profile1DPtr _histPiMeanpT;
// Total yields
Profile1DPtr _histKYield;
Profile1DPtr _histProtonYield;
Profile1DPtr _histLambdaYield;
Profile1DPtr _histPiYield;
Profile1DPtr _histPi4LYield;
// Yield ratios.
Scatter2DPtr _histKtoPiYield;
Scatter2DPtr _histProtontoPiYield;
Scatter2DPtr _histLambdatoPiYield;
};
// The hook for the plugin system
RIVET_DECLARE_PLUGIN(ALICE_2014_I1244523);
}
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