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ALICE_2016_I1507157

Angular correlations of identified particles at 7 TeV.
Experiment: ALICE (LHC)
Inspire ID: 1507157
Status: UNVALIDATED
Authors:
  • Christian Bierlich
  • Harsh Shah
References:
  • Eur.Phys.J.C77(2017)no.8,569
  • DOI:10.1140/epjc/s10052-017-5129-6
  • arXiv: 1612.08975
Beams: p+ p+
Beam energies: (3500.0, 3500.0) GeV
Run details:
  • Proton-proton minimum bias events at 7 TeV.

Angular correlations between like-sign and opposite-sign identified particles, integrated over $\Delta \eta < 1.3$. The analysis makes use of event mixing to remove background. The current implementation of the event mixing is not validated by experiment, and should be used with caution. Note in particular that for the event mixing to behave sensibly, event weights are assumed to be unity. Do not run this analysis with weighted events

Source code: ALICE_2016_I1507157.cc
  1// -*- C++ -*-
  2#include "Rivet/Analysis.hh"
  3#include "Rivet/Analyses/AliceCommon.hh"
  4#include "Rivet/Projections/PrimaryParticles.hh"
  5#include "Rivet/Projections/ChargedFinalState.hh"
  6#include "Rivet/Projections/EventMixingFinalState.hh"
  7
  8namespace Rivet {
  9
 10
 11  /// @brief Angular correlations of identified particles in pp at 7 TeV.
 12  ///
 13  /// Also showcasing use of EventMixingFinalState.
 14  class ALICE_2016_I1507157 : public Analysis {
 15  public:
 16
 17    /// Constructor
 18    RIVET_DEFAULT_ANALYSIS_CTOR(ALICE_2016_I1507157);
 19
 20
 21    /// @name Analysis methods
 22    /// @{
 23
 24    /// @brief Calculate angular distance between particles,
 25    /// return index of corresponding discrete bin
 26    size_t discPhi(double a1, double a2, const YODA::Axis<double>& axis) const {
 27      double diff = a1 - a2;
 28      while (diff < axis.min(1))               diff += 2*M_PI;
 29      while (diff > axis.max(axis.numBins()))  diff -= 2*M_PI;
 30      size_t idx = axis.index(diff);
 31      return idx > axis.numBins()? 0 : idx;
 32    }
 33
 34
 35    /// Book histograms and initialise projections before the run
 36    void init() {
 37
 38      const double etamax = 0.8;
 39      const double pTmin = 0.2; // GeV
 40      const double pTmax = 2.5; //GeV
 41
 42      // Trigger projection.
 43      declare(ALICE::V0AndTrigger(), "V0-AND");
 44      // Charged tracks used to manage the mixing observable.
 45      ChargedFinalState cfsMult(Cuts::abseta < etamax);
 46      declare(cfsMult, "CFSMult");
 47
 48      // Primary particles.
 49      PrimaryParticles pp({Rivet::PID::PIPLUS, Rivet::PID::KPLUS,
 50	      Rivet::PID::K0S, Rivet::PID::K0L, Rivet::PID::PROTON,
 51	      Rivet::PID::NEUTRON, Rivet::PID::LAMBDA, Rivet::PID::SIGMAMINUS,
 52       	Rivet::PID::SIGMAPLUS, Rivet::PID::XIMINUS, Rivet::PID::XI0,
 53	      Rivet::PID::OMEGAMINUS},Cuts::abseta < etamax && Cuts::pT > pTmin*GeV && Cuts::pT < pTmax*GeV);
 54      declare(pp,"APRIM");
 55
 56      // The event mixing projection
 57      declare(EventMixingFinalState(cfsMult, pp, 5, 0, 100, 10, defaultWeightIndex()),"EVM");
 58      // The particle pairs.
 59      pid = {{211, -211}, {321, -321}, {2212, -2212}, {3122, -3122}, {211, 211},
 60             {321, 321}, {2212, 2212}, {3122, 3122}, {2212, 3122}, {2212, -3122}};
 61      // The differing pT cuts per pair, in GeV.
 62      pTcuts = {{0.2, 0.2},{0.3, 0.3},{0.5,0.5},{0.6,0.6},{0.2,0.2},
 63	      {0.3,0.3},{0.5,0.5},{0.6,0.6},{0.5,0.6},{0.5,0.6}};
 64      // The associated histograms in the data file.
 65      vector<string> refdata = {"d04-x01-y01","d04-x01-y02","d04-x01-y03",
 66        "d06-x01-y02","d05-x01-y01","d05-x01-y02","d05-x01-y03","d06-x01-y01",
 67        "d01-x01-y02","d02-x01-y02"};
 68      _axes.resize(3);
 69      _axes[0] = YODA::Axis<double>({-1.46, -1.19, -0.97, -0.76, -0.54, -0.33, -0.11, 0.11, 0.33, 0.54,
 70                                      0.76,  0.98,  1.19,  1.41,  1.62,  1.84,  2.06, 2.27, 2.49, 2.71,
 71                                      2.92,  3.14,  3.36,  3.58,  3.79,  4.01,  4.22, 4.44, 4.66, 4.77});
 72      _axes[1] = YODA::Axis<double>({-1.46, -1.19, -0.97, -0.76, -0.54, -0.33, -0.11, 0.11, 0.33, 0.54,
 73                                      0.76, 0.98, 1.19, 1.41, 1.62, 1.84, 2.06, 2.27, 2.49, 2.71, 2.92,
 74                                      3.14, 3.36, 3.58, 3.79, 4.01, 4.22, 4.44, 4.66, 4.77});
 75      _axes[2] = YODA::Axis<double>({-1.14, -0.95, -0.69, -0.41, -0.14, 0.14, 0.41, 0.68, 0.96, 1.23,
 76                                      1.50,  1.77,  2.05,  2.33,  2.59, 2.87, 3.14, 3.42, 3.68, 3.96,
 77                                      4.24, 4.50, 4.78, 4.92});
 78
 79      // Resize all the analysis object containers to right size.
 80      ratio.resize(refdata.size());
 81      signal.resize(refdata.size());
 82      background.resize(refdata.size());
 83      nsp.resize(refdata.size());
 84      nmp.resize(refdata.size());
 85      for (int i = 0, N = refdata.size(); i < N; ++i) {
 86        const auto& tmp = refData<YODA::BinnedEstimate<string>>(refdata[i]);
 87        // The ratio plots.
 88        book(ratio[i], refdata[i]);
 89        // Signal and mixed background should not be displayed.
 90        book(signal[i], "TMP/" + refdata[i] + "-s", tmp);
 91        book(background[i], "TMP/" + refdata[i] + "-b", tmp);
 92        // Number of signal and mixed pairs for normalization.
 93        book(nsp[i],"TMP/nsp"+std::to_string(i));
 94        book(nmp[i],"TMP/nmp"+std::to_string(i));
 95      }
 96    }
 97
 98
 99    void fillPair(const Particle& p1, const Particle& p2, vector<BinnedHistoPtr<string>>& histos, vector<CounterPtr>& sow) {
100	    if (isSame(p1,p2)) return;
101      // If the pair is not within eta acceptance, we can continue early.
102      if (abs(p1.eta() - p2.eta()) > 1.3) return;
103      // Figure out which pid pair we are looking at.
104      int iPair = -1;
105      for (int i = 0, N = pid.size(); i < N; ++i) {
106        if (pid[i].first == p1.pid() && pid[i].second == p2.pid()) {
107          iPair = i;
108          break;
109        }
110      }
111      // If the pair is not in the analysis, don't fill anything.
112      if (iPair < 0) return;
113      // Apply min pT cuts, varies for different species.
114      if (p1.pT() < pTcuts[iPair].first || p2.pT() < pTcuts[iPair].second) return;
115      size_t axis_id = iPair < 3? 0 : 2;
116      if (4 <= iPair && iPair <= 6)  axis_id = 1;
117      size_t idx = discPhi(p1.phi(), p2.phi(), _axes[axis_id]);
118      histos[iPair]->fill(idx? histos[iPair]->bin(idx).xEdge() : "OTHER"s);
119      sow[iPair]->fill();
120    }
121
122
123    /// Perform the per-event analysis
124    void analyze(const Event& event) {
125      // Triggering.
126      if (!apply<ALICE::V0AndTrigger>(event, "V0-AND")()) return;
127
128      // The projections for signal and mixed event background.
129      const PrimaryParticles& pp =
130        apply<PrimaryParticles>(event,"APRIM");
131      const EventMixingFinalState& evm =
132        apply<EventMixingFinalState>(event, "EVM");
133
134      // Test if we have enough mixing events available to continue.
135      if (!evm.hasMixingEvents()) return;
136
137      for (const Particle& p1 : pp.particles()) {
138	      // First do the signal histograms.
139        for (const Particle& p2 : pp.particles())
140	        fillPair(p1, p2, signal, nsp);
141	      // Then do the background
142        for (const Particle& p2 : evm.particles())
143	        fillPair(p1, p2, background, nmp);
144      }
145    }
146
147
148    /// Normalise histograms etc., after the run
149    void finalize() {
150      for (int i = 0, N = pid.size(); i < N; ++i) {
151	    // Scaling factor eqns. (2)-(5) in the paper.
152        double sc = nmp[i]->sumW() / nsp[i]->sumW();
153        signal[i]->scaleW(sc);
154        divide(signal[i],background[i],ratio[i]);
155      }
156    }
157
158    /// @}
159
160
161    /// Analysis variables.
162    vector<pair<int, int> > pid;
163    vector<pair<double, double> > pTcuts;
164    /// @name Histograms and counters
165    /// @{
166    vector<BinnedHistoPtr<string>> signal;
167    vector<BinnedHistoPtr<string>> background;
168    vector<BinnedEstimatePtr<string>> ratio;
169    vector<CounterPtr> nsp;
170    vector<CounterPtr> nmp;
171    vector<YODA::Axis<double>> _axes;
172
173    /// @}
174
175  };
176
177
178  RIVET_DECLARE_PLUGIN(ALICE_2016_I1507157);
179
180}