Rivet analyses
Jet pT and multiplicity distributions in W + jets events
Experiment: CDF (Tevatron Run 2)
Inspire ID: 768579
Status: VALIDATED
Authors: - Ben Cooper - Emily Nurse
References: - arXiv: 0711.4044 - Phys.Rev.D77:011108,2008
Beams: p- p+
Beam energies: (980.0, 980.0)GeV
Run details: - Requires the process pp̄ → W → eν. Additional hard jets will also have to be included to get a good description. The LO process in Herwig is set with IPROC=1451.
Measurement of the cross section for W boson production in association with jets in pp̄ collisions at $\sqrt{s}=1.96$ TeV. The analysis uses 320 pb−1 of data collected with the CDF II detector. W bosons are identified in their eν decay channel and jets are reconstructed using an R < 0.4 cone algorithm. For each W+≥ n-jet sample (where n = 1–4) a measurement of dσ(pp̄ → W+≥ n jet)/dET(nth-jet) × BR(W → eν) is made, where dET(nth-jet) is the Et of the nth-highest Et jet above 20 GeV. A measurement of the total cross section, σ(pp̄ → W+≥ n-jet) × BR(W → eν) with ET(nth − jet) > 25 GeV is also made. Both measurements are made for jets with |η| < 2 and for a limited region of the W → eν decay phase space; |ηe| < 1.1, pTe > 20 GeV, pTν > 30 GeV and MT > 20 GeV. The cross sections are corrected for all detector effects and can be directly compared to particle level W + jet(s) predictions. These measurements can be used to test and tune QCD predictions for the number of jets in and kinematics of W + jets events.
Source
code:CDF_2008_I768579.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/InvMassFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include <algorithm>
namespace Rivet {
/// @brief CDF jet pT and multiplicity distributions in W + jets events
///
/// This CDF analysis provides jet pT distributions for 4 jet multiplicity bins
/// as well as the jet multiplicity distribution in W + jets events.
class CDF_2008_I768579 : public Analysis {
public:
RIVET_DEFAULT_ANALYSIS_CTOR(CDF_2008_I768579);
/// @name Analysis methods
/// @{
void init() {
// Set up projections
// Basic FS
FinalState fs((Cuts::etaIn(-3.6, 3.6)));
declare(fs, "FS");
// Create a final state with any e-nu pair with invariant mass 65 -> 95 GeV and ET > 20 (W decay products)
vector<pair<PdgId,PdgId> > vids;
vids += make_pair(PID::ELECTRON, PID::NU_EBAR);
vids += make_pair(PID::POSITRON, PID::NU_E);
FinalState fs2(Cuts::abseta < 3.6 && Cuts::pT >= 20*GeV);
InvMassFinalState invfs(fs2, vids, 65*GeV, 95*GeV);
declare(invfs, "INVFS");
// Make a final state without the W decay products for jet clustering
VetoedFinalState vfs(fs);
vfs.addVetoOnThisFinalState(invfs);
declare(vfs, "VFS");
declare(FastJets(vfs, JetAlg::CDFJETCLU, 0.4), "Jets");
// Book histograms
for (int i = 0 ; i < 4 ; ++i) {
book(_histJetEt[i], i+1, 1, 1);
book(_histJetMultRatio[i], 5, 1, i+1);
book(_histJetMult[i], i+6, 1, 1);
book(_numer[i],"/TMP/numer"+std::to_string(i));
book(_denom[i],"/TMP/denom"+std::to_string(i));
}
}
/// Do the analysis
void analyze(const Event& event) {
// Get the W decay products (electron and neutrino)
const InvMassFinalState& invMassFinalState = apply<InvMassFinalState>(event, "INVFS");
const Particles& wDecayProducts = invMassFinalState.particles();
FourMomentum electronP, neutrinoP;
bool gotElectron(false), gotNeutrino(false);
for (const Particle& p : wDecayProducts) {
FourMomentum p4 = p.momentum();
if (p4.Et() > 20*GeV && p4.abseta() < 1.1 && p.abspid() == PID::ELECTRON) {
electronP = p4;
gotElectron = true;
}
else if (p4.Et() > 30*GeV && p.abspid() == PID::NU_E) {
neutrinoP = p4;
gotNeutrino = true;
}
}
// Veto event if the electron or MET cuts fail
if (!gotElectron || !gotNeutrino) vetoEvent;
// Veto event if the MTR cut fails
double mT2 = 2.0 * ( electronP.pT()*neutrinoP.pT() - electronP.px()*neutrinoP.px() - electronP.py()*neutrinoP.py() );
if (sqrt(mT2) < 20*GeV ) vetoEvent;
// Get the jets
const JetFinder& jetProj = apply<FastJets>(event, "Jets");
Jets theJets = jetProj.jets(cmpMomByEt, Cuts::Et > 20*GeV);
size_t njetsA(0), njetsB(0);
for (const Jet& j : theJets) {
if (j.absrap() < 2.0) {
// Fill differential histograms for top 4 jets with Et > 20
if (njetsA < 4 && j.Et() > 20*GeV) {
++njetsA;
_histJetEt[njetsA-1]->fill(j.Et()/GeV);
}
// Count number of jets with Et > 25 (for multiplicity histograms)
if (j.Et() > 25*GeV) ++njetsB;
}
}
// Increment event counter
_denom[0]->fill();
// Jet multiplicity
for (size_t i = 1; i <= njetsB; ++i) {
_histJetMult[i-1]->fill(1960);
_numer[i-1]->fill();
if (i == 4) break;
_denom[i]->fill();
}
}
/// Finalize
void finalize() {
// Loop over the non-zero multiplicities
for (size_t i = 0; i < 4; ++i) {
if (!_denom[i]->val()) continue;
const YODA::Estimate0D ratio = (*_numer[i]) / (*_denom[i]);
_histJetMultRatio[i]->bin(1).set(ratio.val(), ratio.err());
}
// Normalize the non-ratio histograms
for (size_t i = 0; i < 4; ++i) {
scale(_histJetEt[i], crossSection()/picobarn/sumOfWeights());
scale(_histJetMult[i], crossSection()/picobarn/sumOfWeights());
}
}
/// @}
private:
/// @name Histograms
/// @{
Histo1DPtr _histJetEt[4];
BinnedEstimatePtr<int> _histJetMultRatio[4];
BinnedHistoPtr<int> _histJetMult[4];
CounterPtr _numer[4], _denom[4];
/// @}
};
RIVET_DECLARE_ALIASED_PLUGIN(CDF_2008_I768579, CDF_2008_S7541902);
}Aliases: - CDF_2008_S7541902