ATLAS_2012_I1125575.cc

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// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Tools/BinnedHistogram.hh"

namespace Rivet {


  class ATLAS_2012_I1125575 : public Analysis {
    public:

      /// @name Constructors etc.
      //@{

      /// Constructor
      ATLAS_2012_I1125575()
        : Analysis("ATLAS_2012_I1125575")
      {    }

      //@}


    public:

      /// @name Analysis methods
      //@{

      /// Book histograms and initialise projections before the run
      void init() {

        /// @todo Initialise and register projections here
        const ChargedFinalState jet_input(-2.5, 2.5, 0.5*GeV);
        addProjection(jet_input, "JET_INPUT");

        const ChargedFinalState track_input(-1.5, 1.5, 0.5*GeV);
        addProjection(track_input, "TRACK_INPUT");

        const FastJets jets02(jet_input, FastJets::ANTIKT, 0.2);
        addProjection(jets02, "JETS_02");

        const FastJets jets04(jet_input, FastJets::ANTIKT, 0.4);
        addProjection(jets04, "JETS_04");

        const FastJets jets06(jet_input, FastJets::ANTIKT, 0.6);
        addProjection(jets06, "JETS_06");

        const FastJets jets08(jet_input, FastJets::ANTIKT, 0.8);
        addProjection(jets08, "JETS_08");

        const FastJets jets10(jet_input, FastJets::ANTIKT, 1.0);
        addProjection(jets10, "JETS_10");

        // Mean number of tracks
        InitializeProfiles(_h_meanNch, 1);

        // Mean of the average track pT in each region
        InitializeProfiles(_h_meanPtAvg, 2);

        // Mean of the scalar sum of track pT in each region
        InitializeProfiles(_h_meanPtSum, 3);

        // Distribution of Nch, in bins of leading track-jet pT
        InitializeHistograms(_h_Nch, 4);

        // Distribution of average track-jet pT, in bins of leading track-jet pT
        InitializeHistograms(_h_PtAvg, 5);

        // Distribution of sum of track-jet pT, in bins of leading track-jet pT
        InitializeHistograms(_h_PtSum, 6);

        for (int i=0; i<5; ++i) {
          _nEvents[i] = 0.0;
        }

      }

      void InitializeProfiles(Profile1DPtr plots[5][2], int distribution) {
        for (int i=0; i<5; ++i) {
          for (int j=0; j<2; ++j) {
            plots[i][j] = bookProfile1D(distribution, i+1, j+1);
          }
        }
      }

      void InitializeHistograms(BinnedHistogram<double> plots[5][2], int distribution) {
        Scatter2D refscatter = refData(1, 1, 1);
        for (int i=0; i<5; ++i) {
          for (int y=0; y<2; ++y) {
            for (size_t j=0; j<refscatter.numPoints(); ++j) {
              int histogram_number = ((j+1)*2)-((y+1)%2);
              double low_edge = refscatter.point(j).xMin();
              double high_edge = refscatter.point(j).xMax();
              plots[i][y].addHistogram(low_edge, high_edge, bookHisto1D(distribution, i+1, histogram_number));
            }
          }
        }
      }


      /// Perform the per-event analysis
      void analyze(const Event& event) {
        const double weight = event.weight();

        std::vector<Jets*> all_jets;
        Jets jets_02 = applyProjection<FastJets>(event, "JETS_02").jetsByPt(4.0*GeV, MAXDOUBLE, -1.5, 1.5, PSEUDORAPIDITY);
        all_jets.push_back(&jets_02);
        Jets jets_04 = applyProjection<FastJets>(event, "JETS_04").jetsByPt(4.0*GeV, MAXDOUBLE, -1.5, 1.5, PSEUDORAPIDITY);
        all_jets.push_back(&jets_04);
        Jets jets_06 = applyProjection<FastJets>(event, "JETS_06").jetsByPt(4.0*GeV, MAXDOUBLE, -1.5, 1.5, PSEUDORAPIDITY);
        all_jets.push_back(&jets_06);
        Jets jets_08 = applyProjection<FastJets>(event, "JETS_08").jetsByPt(4.0*GeV, MAXDOUBLE, -1.5, 1.5, PSEUDORAPIDITY);
        all_jets.push_back(&jets_08);
        Jets jets_10 = applyProjection<FastJets>(event, "JETS_10").jetsByPt(4.0*GeV, MAXDOUBLE, -1.5, 1.5, PSEUDORAPIDITY);
        all_jets.push_back(&jets_10);

        // Count the number of tracks in the away and transverse regions, for each set of jets
        double n_ch[5][2] = { {0,0}, {0,0}, {0,0}, {0,0}, {0,0} };
        // Also add up the sum pT
        double sumpt[5][2] = { {0,0}, {0,0}, {0,0}, {0,0}, {0,0} };
        // ptmean = sumpt / n_ch
        double ptavg[5][2] = { {0,0}, {0,0}, {0,0}, {0,0}, {0,0} };
        // lead jet pT defines which bin we want to fill
        double lead_jet_pts[5] = {0.0};

        // Loop over each of the jet radii:
        for (int i=0; i<5; ++i) {
          if (all_jets[i]->size() < 1) continue;

          // Find the lead jet pT
          lead_jet_pts[i] = all_jets[i]->at(0).pT();

          // Loop over each of the charged particles
          const Particles& tracks = applyProjection<ChargedFinalState>(event, "TRACK_INPUT").particlesByPt();
          foreach(const Particle& t, tracks) {

            // Get the delta-phi between the track and the leading jet
            double dphi = deltaPhi(all_jets[i]->at(0), t);

            // Find out which region this puts it in.
            // 0 = away region, 1 = transverse region, 2 = toward region
            int region = region_index(dphi);

            // If the track is in the toward region, ignore it.
            if (region == 2) continue;

            // Otherwise, increment the relevant counters
            ++n_ch[i][region];
            sumpt[i][region] += t.pT();

          }
          // Calculate the pT_avg for the away and transverse regions.
          // (And make sure we don't try to divide by zero.)
          ptavg[i][0] = (n_ch[i][0] == 0 ? 0.0 : sumpt[i][0] / n_ch[i][0]);
          ptavg[i][1] = (n_ch[i][1] == 0 ? 0.0 : sumpt[i][1] / n_ch[i][1]);

          _nEvents[i] += weight;
        }

        FillProfiles(_h_meanNch,    n_ch, lead_jet_pts, weight, 1.0 / (2*PI));
        FillProfiles(_h_meanPtAvg, ptavg, lead_jet_pts, weight, 1.0);
        FillProfiles(_h_meanPtSum, sumpt, lead_jet_pts, weight, 1.0 / (2*PI));

        FillHistograms(_h_Nch,    n_ch, lead_jet_pts, weight);
        FillHistograms(_h_PtAvg, ptavg, lead_jet_pts, weight);
        FillHistograms(_h_PtSum, sumpt, lead_jet_pts, weight);
      }

      void FillProfiles(Profile1DPtr plots[5][2], double var[5][2], double lead_pt[5], double weight, double scale) {
        for (int i=0; i<5; ++i) {
          double pt = lead_pt[i];
          for (int j=0; j<2; ++j) {
            double v = var[i][j];
            plots[i][j]->fill(pt, v*scale, weight);
          }
        }
      }

      void FillHistograms(BinnedHistogram<double> plots[5][2], double var[5][2], double lead_pt[5], double weight) {
        for (int i=0; i<5; ++i) {
          double pt = lead_pt[i];
          for (int j=0; j<2; ++j) {
            double v = var[i][j];
            plots[i][j].fill(pt, v, weight);
          }
        }
      }

      inline int region_index(double dphi) {
        assert(inRange(dphi, 0.0, PI, CLOSED, CLOSED));
        if (dphi < PI/3.0) return 2;
        if (dphi < 2*PI/3.0) return 1;
        return 0;
      }


      /// Normalise histograms etc., after the run
      void finalize() {
        FinalizeHistograms(_h_Nch);
        FinalizeHistograms(_h_PtAvg);
        FinalizeHistograms(_h_PtSum);
      }

      void FinalizeHistograms(BinnedHistogram<double> plots[5][2]) {
        for (int i=0; i<5; ++i) {
          for (int j=0; j<2; ++j) {
            vector<Histo1DPtr> histos = plots[i][j].getHistograms();
            foreach(Histo1DPtr h, histos) {
              scale(h, 1.0/_nEvents[i]);
            }
          }
        }
      }

      //@}


    private:

      // Data members like post-cuts event weight counters go here
      double _nEvents[5];

    private:

      Profile1DPtr _h_meanNch[5][2];
      Profile1DPtr _h_meanPtAvg[5][2];
      Profile1DPtr _h_meanPtSum[5][2];

      BinnedHistogram<double> _h_Nch[5][2];
      BinnedHistogram<double> _h_PtAvg[5][2];
      BinnedHistogram<double> _h_PtSum[5][2];

  };



  // The hook for the plugin system
  DECLARE_RIVET_PLUGIN(ATLAS_2012_I1125575);

}