Rivet analyses

title: MC_HHJETS

Monte Carlo validation observables for $HH$ (stable) + jets production

Experiment: ()

Status: VALIDATED

Authors: - Andreas Papaefstathiou

References: none listed

Beams: * *

Beam energies: ANY

Run details: - $HH$ production with stable Higgses

The available observables are the Higgs boson pair invariant mass, the separation between the two Higgs bosons, pT of the di-Higgs (any, hardest, second hardest), pT and pseudorapidity of Higgs bosons (any, hardest, second hardest), pT of jets 1--4, jet multiplicity, $\Delta\eta(h, \text{jet1})$, $\Delta R(\text{jet2}, \text{jet3})$, differential jet rates 0->1, 1->2, 2->3, 3->4, and integrated 0--4 jet rates.

Source code:MC_HHJETS.cc

```c++ // -- C++ --

include "Rivet/Analyses/MC_JETS_BASE.hh"

include "Rivet/Projections/DileptonFinder.hh"

include "Rivet/Projections/FastJets.hh"

include "Rivet/Projections/IdentifiedFinalState.hh"

include "Rivet/Projections/VetoedFinalState.hh"

namespace Rivet {

/// @brief MC validation analysis for Higgs-pair events (stable Higgses) class MC_HHJETS : public MC_JETS_BASE { public:

/// Default constructor
MC_HHJETS()
    : MC_JETS_BASE("MC_HHJETS", 4, "Jets") { }


/// @name Analysis methods
/// @{

/// Book histograms
void init() {
  IdentifiedFinalState ifs(Cuts::abseta < 10.0 && Cuts::pT > 0 * GeV);
  ifs.acceptId(25);
  declare(ifs, "IFS");

  VetoedFinalState vfs;
  vfs.addVetoPairId(25);

  // set ptcut from input option
  const double jetptcut = getOption<double>("PTJMIN", 20.0);
  _jetptcut = jetptcut * GeV;

  // set clustering radius from input option
  const double R = getOption<double>("R", 0.4);

  // set clustering algorithm from input option
  JetAlg clusterAlgo;
  const string algoopt = getOption("ALGO", "ANTIKT");
  if (algoopt == "KT") {
    clusterAlgo = JetAlg::KT;
  }
  else if (algoopt == "CA") {
    clusterAlgo = JetAlg::CA;
  }
  else if (algoopt == "ANTIKT") {
    clusterAlgo = JetAlg::ANTIKT;
  }
  else {
    MSG_WARNING("Unknown jet clustering algorithm option " + algoopt + ". Defaulting to anti-kT");
    clusterAlgo = JetAlg::ANTIKT;
  }

  FastJets jetpro(vfs, clusterAlgo, R);
  declare(jetpro, "Jets");

  book(_h_HH_mass, "HH_mass", 250, 240, 4000.0);
  book(_h_HH_dR, "HH_dR", 25, 0.5, 10.0);
  book(_h_HH_dPhi, "HH_dPhi", 64, 0, 3.2);
  book(_h_HH_deta, "HH_deta", 50, -5, 5);
  book(_h_H_pT, "H_pT", 50, 0, 2000.0);
  book(_h_HH_pT, "HH_pT", 200, 0, 2000.0);
  book(_h_H_pT1, "H_pT1", 200, 0, 2000.0);
  book(_h_H_pT2, "H_pT2", 200, 0, 2000.0);
  book(_h_H_eta, "H_eta", 50, -5.0, 5.0);
  book(_h_H_eta1, "H_eta1", 50, -5.0, 5.0);
  book(_h_H_eta2, "H_eta2", 50, -5.0, 5.0);
  book(_h_H_phi, "H_phi", 25, 0.0, TWOPI);
  book(_h_H_jet1_deta, "H_jet1_deta", 50, -5.0, 5.0);
  book(_h_H_jet1_dR, "H_jet1_dR", 25, 0.5, 7.0);

  MC_JETS_BASE::init();
}


/// Do the analysis
void analyze(const Event& e) {

  const IdentifiedFinalState& ifs = apply<IdentifiedFinalState>(e, "IFS");
  Particles allp = ifs.particlesByPt();
  if (allp.empty()) vetoEvent;


  FourMomentum hmom = allp[0].momentum();
  if (allp.size() > 1) {
    FourMomentum hmom2(allp[1].momentum());
    _h_HH_dR->fill(deltaR(hmom, hmom2));
    _h_HH_dPhi->fill(deltaPhi(hmom, hmom2));
    _h_HH_deta->fill(hmom.eta() - hmom2.eta());
    _h_HH_pT->fill((hmom + hmom2).pT());
    _h_HH_mass->fill((hmom + hmom2).mass());

    if (hmom.pT() > hmom2.pT()) {
      _h_H_pT1->fill(hmom.pT());
      _h_H_eta1->fill(hmom.eta());
      _h_H_pT2->fill(hmom2.pT());
      _h_H_eta2->fill(hmom2.eta());
    }
    else {
      _h_H_pT1->fill(hmom2.pT());
      _h_H_eta1->fill(hmom2.eta());
      _h_H_pT2->fill(hmom.pT());
      _h_H_eta2->fill(hmom.eta());
    }
  }
  _h_H_pT->fill(hmom.pT());
  _h_H_eta->fill(hmom.eta());
  _h_H_phi->fill(hmom.azimuthalAngle());


  // Get the jet candidates
  Jets jets = apply<FastJets>(e, "Jets").jetsByPt(Cuts::pT > 20 * GeV);
  if (!jets.empty()) {
    _h_H_jet1_deta->fill(deltaEta(hmom, jets[0]));
    _h_H_jet1_dR->fill(deltaR(hmom, jets[0]));
  }

  MC_JETS_BASE::analyze(e);
}


/// Finalize
void finalize() {
  scale(_h_HH_mass, crossSection() / picobarn / sumOfWeights());
  scale(_h_HH_dR, crossSection() / picobarn / sumOfWeights());
  scale(_h_HH_deta, crossSection() / picobarn / sumOfWeights());
  scale(_h_HH_dPhi, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_pT, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_pT1, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_pT2, crossSection() / picobarn / sumOfWeights());
  scale(_h_HH_pT, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_eta, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_eta1, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_eta2, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_phi, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_jet1_deta, crossSection() / picobarn / sumOfWeights());
  scale(_h_H_jet1_dR, crossSection() / picobarn / sumOfWeights());

  MC_JETS_BASE::finalize();
}

/// @}

private:

/// @name Histograms
/// @{
Histo1DPtr _h_HH_mass, _h_HH_pT, _h_HH_dR, _h_HH_deta, _h_HH_dPhi;
Histo1DPtr _h_H_pT, _h_H_pT1, _h_H_pT2, _h_H_eta, _h_H_eta1, _h_H_eta2, _h_H_phi;
Histo1DPtr _h_H_jet1_deta, _h_H_jet1_dR;
/// @}

};

RIVET_DECLARE_PLUGIN(MC_HHJETS);

} ```