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| // -*- C++ -*-
// "Acosta" underlying event analysis at CDF, inc. "Swiss Cheese"
#include "Rivet/Analysis.hh"
#include "Rivet/Jet.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/TriggerCDFRun0Run1.hh"
namespace Rivet {
/// @brief CDF calo jet underlying event analysis at 630 and 1800 GeV
///
/// CDF measurement of underlying event using calorimeter jet scales and
/// alignment, particle flow activity in transverse cones, and the Swiss
/// Cheese analysis method, where cones are excluded around the 2 and 3
/// hardest jets.
///
/// @author Andy Buckley
class CDF_2004_S5839831 : public Analysis {
public:
RIVET_DEFAULT_ANALYSIS_CTOR(CDF_2004_S5839831);
/// @name Analysis methods
//@{
void init() {
// Set up projections
declare(TriggerCDFRun0Run1(), "Trigger");
const FinalState calofs(Cuts::abseta < 1.2);
declare(calofs, "CaloFS");
declare(FastJets(calofs, FastJets::CDFJETCLU, 0.7), "Jets");
const ChargedFinalState trackfs(Cuts::abseta < 1.2 && Cuts::pT >= 0.4*GeV);
declare(trackfs, "TrackFS");
// Restrict tracks to |eta| < 0.7 for the min bias part.
const ChargedFinalState mbfs(Cuts::abseta < 0.7 && Cuts::pT >= 0.4*GeV);
declare(mbfs, "MBFS");
// Restrict tracks to |eta| < 1 for the Swiss-Cheese part.
const ChargedFinalState cheesefs(Cuts::abseta < 1.0 && Cuts::pT >= 0.4*GeV);
declare(cheesefs, "CheeseFS");
declare(FastJets(cheesefs, FastJets::CDFJETCLU, 0.7), "CheeseJets");
// Book histograms
if (isCompatibleWithSqrtS(1800)) {
book(_pt90MaxAvg1800 ,1, 1, 1);
book(_pt90MinAvg1800 ,1, 1, 2);
book(_pt90Max1800 ,2, 1, 1);
book(_pt90Min1800 ,2, 1, 2);
book(_pt90Diff1800 ,2, 1, 3);
book(_num90Max1800 ,4, 1, 1);
book(_num90Min1800 ,4, 1, 2);
book(_pTSum1800_2Jet ,7, 1, 1);
book(_pTSum1800_3Jet ,7, 1, 2);
book(_pt90Dbn1800Et40 ,3, 1, 1);
book(_pt90Dbn1800Et80 ,3, 1, 2);
book(_pt90Dbn1800Et120 ,3, 1, 3);
book(_pt90Dbn1800Et160 ,3, 1, 4);
book(_pt90Dbn1800Et200 ,3, 1, 5);
book(_numTracksDbn1800MB ,5, 1, 1);
book(_ptDbn1800MB ,6, 1, 1);
} else if (isCompatibleWithSqrtS(630)) {
book(_pt90Max630 ,8, 1, 1);
book(_pt90Min630 ,8, 1, 2);
book(_pt90Diff630 ,8, 1, 3);
book(_pTSum630_2Jet ,9, 1, 1);
book(_pTSum630_3Jet ,9, 1, 2);
book(_numTracksDbn630MB ,10, 1, 1);
book(_ptDbn630MB ,11, 1, 1);
}
}
/// Do the analysis
void analyze(const Event& event) {
// Trigger
const bool trigger = apply<TriggerCDFRun0Run1>(event, "Trigger").minBiasDecision();
if (!trigger) vetoEvent;
{
MSG_DEBUG("Running max/min analysis");
Jets jets = apply<JetAlg>(event, "Jets").jets(cmpMomByE);
if (!jets.empty()) {
// Leading jet must be in central |eta| < 0.5 region
const Jet leadingjet = jets.front();
const double etaLead = leadingjet.eta();
// Get Et of the leading jet: used to bin histograms
const double ETlead = leadingjet.Et();
MSG_DEBUG("Leading Et = " << ETlead/GeV << " GeV");
if (fabs(etaLead) > 0.5 && ETlead < 15*GeV) {
MSG_DEBUG("Leading jet eta = " << etaLead
<< " not in |eta| < 0.5 & pT > 15 GeV");
} else {
// Multiplicity & pT distributions for sqrt(s) = 630 GeV, 1800 GeV
const Particles tracks = apply<FinalState>(event, "TrackFS").particles();
const ConesInfo cones = _calcTransCones(leadingjet.momentum(), tracks);
if (isCompatibleWithSqrtS(630)) {
_pt90Max630->fill(ETlead/GeV, cones.ptMax/GeV);
_pt90Min630->fill(ETlead/GeV, cones.ptMin/GeV);
_pt90Diff630->fill(ETlead/GeV, cones.ptDiff/GeV);
} else if (isCompatibleWithSqrtS(1800)) {
_num90Max1800->fill(ETlead/GeV, cones.numMax);
_num90Min1800->fill(ETlead/GeV, cones.numMin);
_pt90Max1800->fill(ETlead/GeV, cones.ptMax/GeV);
_pt90Min1800->fill(ETlead/GeV, cones.ptMin/GeV);
_pt90Diff1800->fill(ETlead/GeV, cones.ptDiff/GeV);
_pt90MaxAvg1800->fill(ETlead/GeV, cones.ptMax/GeV); // /numMax
_pt90MinAvg1800->fill(ETlead/GeV, cones.ptMin/GeV); // /numMin
//
const double ptTransTotal = cones.ptMax + cones.ptMin;
if (inRange(ETlead/GeV, 40., 80.)) {
_pt90Dbn1800Et40->fill(ptTransTotal/GeV);
} else if (inRange(ETlead/GeV, 80., 120.)) {
_pt90Dbn1800Et80->fill(ptTransTotal/GeV);
} else if (inRange(ETlead/GeV, 120., 160.)) {
_pt90Dbn1800Et120->fill(ptTransTotal/GeV);
} else if (inRange(ETlead/GeV, 160., 200.)) {
_pt90Dbn1800Et160->fill(ptTransTotal/GeV);
} else if (inRange(ETlead/GeV, 200., 270.)) {
_pt90Dbn1800Et200->fill(ptTransTotal/GeV);
}
}
}
}
}
// Fill min bias total track multiplicity histos
{
MSG_DEBUG("Running min bias multiplicity analysis");
const Particles mbtracks = apply<FinalState>(event, "MBFS").particles();
if (isCompatibleWithSqrtS(1800)) {
_numTracksDbn1800MB->fill(mbtracks.size());
} else if (isCompatibleWithSqrtS(630)) {
_numTracksDbn630MB->fill(mbtracks.size());
}
// Run over all charged tracks
for (const Particle& t : mbtracks) {
FourMomentum trackMom = t.momentum();
const double pt = trackMom.pT();
// Plot total pT distribution for min bias
if (isCompatibleWithSqrtS(1800)) {
_ptDbn1800MB->fill(pt/GeV);
} else if (isCompatibleWithSqrtS(630)) {
_ptDbn630MB->fill(pt/GeV);
}
}
}
// Construct "Swiss Cheese" pT distributions, with pT contributions from
// tracks within R = 0.7 of the 1st, 2nd (and 3rd) jets being ignored. A
// different set of charged tracks, with |eta| < 1.0, is used here, and all
// the removed jets must have Et > 5 GeV.
{
MSG_DEBUG("Running Swiss Cheese analysis");
const Particles cheesetracks = apply<FinalState>(event, "CheeseFS").particles();
Jets cheesejets = apply<JetAlg>(event, "Jets").jets(cmpMomByE);
if (cheesejets.empty()) {
MSG_DEBUG("No 'cheese' jets found in event");
return;
}
if (cheesejets.size() > 1 &&
fabs(cheesejets[0].eta()) <= 0.5 &&
cheesejets[0].Et()/GeV > 5.0 &&
cheesejets[1].Et()/GeV > 5.0) {
const double cheeseETlead = cheesejets[0].Et();
const double eta1 = cheesejets[0].eta();
const double phi1 = cheesejets[0].phi();
const double eta2 = cheesejets[1].eta();
const double phi2 = cheesejets[1].phi();
double ptSumSub2(0), ptSumSub3(0);
for (const Particle& t : cheesetracks) {
FourMomentum trackMom = t.momentum();
const double pt = trackMom.pT();
// Subtracting 2 leading jets
const double deltaR1 = deltaR(trackMom, eta1, phi1);
const double deltaR2 = deltaR(trackMom, eta2, phi2);
MSG_TRACE("Track vs jet(1): "
<< "|(" << trackMom.eta() << ", " << trackMom.phi() << ") - "
<< "|(" << eta1 << ", " << phi1 << ")| = " << deltaR1);
MSG_TRACE("Track vs jet(2): "
<< "|(" << trackMom.eta() << ", " << trackMom.phi() << ") - "
<< "|(" << eta2 << ", " << phi2 << ")| = " << deltaR2);
if (deltaR1 > 0.7 && deltaR2 > 0.7) {
ptSumSub2 += pt;
// Subtracting 3rd leading jet
if (cheesejets.size() > 2 &&
cheesejets[2].Et()/GeV > 5.0) {
const double eta3 = cheesejets[2].eta();
const double phi3 = cheesejets[2].phi();
const double deltaR3 = deltaR(trackMom, eta3, phi3);
MSG_TRACE("Track vs jet(3): "
<< "|(" << trackMom.eta() << ", " << trackMom.phi() << ") - "
<< "|(" << eta3 << ", " << phi3 << ")| = " << deltaR3);
if (deltaR3 > 0.7) {
ptSumSub3 += pt;
}
}
}
}
// Swiss Cheese sub 2,3 jets distributions for sqrt(s) = 630 GeV, 1800 GeV
if (isCompatibleWithSqrtS(630)) {
if (!isZero(ptSumSub2)) _pTSum630_2Jet->fill(cheeseETlead/GeV, ptSumSub2/GeV);
if (!isZero(ptSumSub3))_pTSum630_3Jet->fill(cheeseETlead/GeV, ptSumSub3/GeV);
} else if (isCompatibleWithSqrtS(1800)) {
if (!isZero(ptSumSub2))_pTSum1800_2Jet->fill(cheeseETlead/GeV, ptSumSub2/GeV);
if (!isZero(ptSumSub3))_pTSum1800_3Jet->fill(cheeseETlead/GeV, ptSumSub3/GeV);
}
}
}
}
void finalize() {
/// @todo Take these normalisations from the data histo (it can't come from just the MC)
if (isCompatibleWithSqrtS(1800)) {
// Normalize to actual number of entries in pT dbn histos...
normalize(_pt90Dbn1800Et40, 1656.75); // norm OK
normalize(_pt90Dbn1800Et80, 4657.5); // norm OK
normalize(_pt90Dbn1800Et120, 5395.5); // norm OK
normalize(_pt90Dbn1800Et160, 7248.75); // norm OK
normalize(_pt90Dbn1800Et200, 2442.0); // norm OK
}
// ...and for min bias distributions:
if (isCompatibleWithSqrtS(1800)) {
normalize(_numTracksDbn1800MB, 309718.25); // norm OK
normalize(_ptDbn1800MB, 33600.0); // norm OK
} else if (isCompatibleWithSqrtS(630)) {
normalize(_numTracksDbn630MB, 1101024.0); // norm OK
normalize(_ptDbn630MB, 105088.0); // norm OK
}
}
//@}
private:
/// @name Cone machinery
/// @{
/// @cond CONEUE_DETAIL
struct ConesInfo {
ConesInfo() : numMax(0), numMin(0), ptMax(0), ptMin(0), ptDiff(0) {}
unsigned int numMax, numMin;
double ptMax, ptMin, ptDiff;
};
/// @endcond
ConesInfo _calcTransCones(const double etaLead, const double phiLead,
const Particles& tracks) {
const double phiTransPlus = mapAngle0To2Pi(phiLead + PI/2.0);
const double phiTransMinus = mapAngle0To2Pi(phiLead - PI/2.0);
MSG_DEBUG("phi_lead = " << phiLead
<< " -> trans = (" << phiTransPlus
<< ", " << phiTransMinus << ")");
unsigned int numPlus(0), numMinus(0);
double ptPlus(0), ptMinus(0);
// Run over all charged tracks
for (const Particle& t : tracks) {
FourMomentum trackMom = t.momentum();
const double pt = trackMom.pT();
// Find if track mom is in either transverse cone
if (deltaR(trackMom, etaLead, phiTransPlus) < 0.7) {
ptPlus += pt;
numPlus += 1;
} else if (deltaR(trackMom, etaLead, phiTransMinus) < 0.7) {
ptMinus += pt;
numMinus += 1;
}
}
ConesInfo rtn;
// Assign N_{min,max} from N_{plus,minus}
rtn.numMax = (ptPlus >= ptMinus) ? numPlus : numMinus;
rtn.numMin = (ptPlus >= ptMinus) ? numMinus : numPlus;
// Assign pT_{min,max} from pT_{plus,minus}
rtn.ptMax = (ptPlus >= ptMinus) ? ptPlus : ptMinus;
rtn.ptMin = (ptPlus >= ptMinus) ? ptMinus : ptPlus;
rtn.ptDiff = fabs(rtn.ptMax - rtn.ptMin);
MSG_DEBUG("Min cone has " << rtn.numMin << " tracks -> "
<< "pT_min = " << rtn.ptMin/GeV << " GeV");
MSG_DEBUG("Max cone has " << rtn.numMax << " tracks -> "
<< "pT_max = " << rtn.ptMax/GeV << " GeV");
return rtn;
}
ConesInfo _calcTransCones(const FourMomentum& leadvec,
const Particles& tracks) {
const double etaLead = leadvec.eta();
const double phiLead = leadvec.phi();
return _calcTransCones(etaLead, phiLead, tracks);
}
/// @}
/// @name Histogram collections
/// @{
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the average \f$ p_T \f$ in the toward, transverse and away regions at
/// \f$ \sqrt{s} = 1800 \text{GeV} \f$.
/// Corresponds to Table 1, and HepData table 1.
Profile1DPtr _pt90MaxAvg1800, _pt90MinAvg1800;
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the \f$ p_T \f$ sum in the toward, transverse and away regions at
/// \f$ \sqrt{s} = 1800 \text{GeV} \f$.
/// Corresponds to figure 2/3, and HepData table 2.
Profile1DPtr _pt90Max1800, _pt90Min1800, _pt90Diff1800;
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the \f$ p_T \f$ sum in the toward, transverse and away regions at
/// at \f$ \sqrt{s} = 630 \text{GeV} \f$.
/// Corresponds to figure 8, and HepData table 8.
Profile1DPtr _pt90Max630, _pt90Min630, _pt90Diff630;
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the cone track multiplicity at \f$ \sqrt{s} = 1800 \text{GeV} \f$.
/// Corresponds to figure 5, and HepData table 4.
Profile1DPtr _num90Max1800, _num90Min1800;
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the \f$ p_T \f$ sum at \f$ \sqrt{s} = 1800 \text{GeV} \f$.
/// Corresponds to figure 7, and HepData table 7.
Profile1DPtr _pTSum1800_2Jet, _pTSum1800_3Jet;
/// Profile histograms, binned in the \f$ E_T \f$ of the leading jet, for
/// the \f$ p_T \f$ sum at \f$ \sqrt{s} = 630 \text{GeV} \f$.
/// Corresponds to figure 9, and HepData table 9.
Profile1DPtr _pTSum630_2Jet, _pTSum630_3Jet;
/// Histogram of \f$ p_{T\text{sum}} \f$ distribution for 5 different
/// \f$ E_{T1} \f$ bins.
/// Corresponds to figure 4, and HepData table 3.
Histo1DPtr _pt90Dbn1800Et40, _pt90Dbn1800Et80, _pt90Dbn1800Et120,
_pt90Dbn1800Et160, _pt90Dbn1800Et200;
/// Histograms of track multiplicity and \f$ p_T \f$ distributions for
/// minimum bias events.
/// Figure 6, and HepData tables 5 & 6.
/// Figure 10, and HepData tables 10 & 11.
Histo1DPtr _numTracksDbn1800MB, _ptDbn1800MB;
Histo1DPtr _numTracksDbn630MB, _ptDbn630MB;
/// @}
};
RIVET_DECLARE_ALIASED_PLUGIN(CDF_2004_S5839831, CDF_2004_I647490);
}
|