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| #include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/ChargedLeptons.hh"
#include "Rivet/Projections/DressedLeptons.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/InvMassFinalState.hh"
#include "Rivet/Projections/MissingMomentum.hh"
#include "Rivet/Math/MatrixN.hh"
#include "fastjet/contrib/Nsubjettiness.hh"
#include "fastjet/contrib/EnergyCorrelator.hh"
namespace Rivet {
/// Measurement of jet substructure observables in $t\bar{t}$ events from $pp$ collisions at 13~TeV
class CMS_2018_I1690148 : public Analysis {
public:
enum Reconstruction { CHARGED=0, ALL=1 };
enum Observable { MULT=0, PTDS=1, GA_LHA=2, GA_WIDTH=3,
GA_THRUST=4, ECC=5, ZG=6, ZGDR=7, NSD=8,
TAU21=9, TAU32=10, TAU43=11, C1_00=12,
C1_02=13, C1_05=14, C1_10=15, C1_20=16,
C2_00=17, C2_02=18, C2_05=19, C2_10=20,
C2_20=21, C3_00=22, C3_02=23, C3_05=24,
C3_10=25, C3_20=26, M2_B1=27, N2_B1=28,
N3_B1=29, M2_B2=30, N2_B2=31, N3_B2=32 };
enum Flavor { INCL=0, BOTTOM=1, QUARK=2, GLUON=3 };
/// Minimal constructor
RIVET_DEFAULT_ANALYSIS_CTOR(CMS_2018_I1690148);
/// @name Analysis methods
//@{
/// Set up projections and book histograms
void init() {
// Cuts
particle_cut = (Cuts::abseta < 5.0 && Cuts::pT > 0.*GeV);
lepton_cut = (Cuts::abseta < 2.4 && Cuts::pT > 15.*GeV);
jet_cut = (Cuts::abseta < 2.4 && Cuts::pT > 30.*GeV);
// Generic final state
FinalState fs(particle_cut);
// Dressed leptons
ChargedLeptons charged_leptons(fs);
IdentifiedFinalState photons(fs);
photons.acceptIdPair(PID::PHOTON);
PromptFinalState prompt_leptons(charged_leptons);
prompt_leptons.acceptMuonDecays(true);
prompt_leptons.acceptTauDecays(true);
PromptFinalState prompt_photons(photons);
prompt_photons.acceptMuonDecays(true);
prompt_photons.acceptTauDecays(true);
// NB. useDecayPhotons=true allows for photons with tau ancestor; photons from hadrons are vetoed by the PromptFinalState;
DressedLeptons dressed_leptons(prompt_photons, prompt_leptons, 0.1, lepton_cut, true);
declare(dressed_leptons, "DressedLeptons");
// Projection for jets
VetoedFinalState fsForJets(fs);
fsForJets.addVetoOnThisFinalState(dressed_leptons);
declare(FastJets(fsForJets, FastJets::ANTIKT, 0.4,
JetAlg::Muons::ALL, JetAlg::Invisibles::NONE), "Jets");
// Booking of histograms
int d = 0;
for (int r = 0; r < 2; ++r) { // reconstruction (charged, all)
for (int o = 0; o < 33; ++o) { // observable
d += 1;
for (int f = 0; f < 4; ++f) { // flavor
char buffer [20];
sprintf(buffer, "d%02d-x01-y%02d", d, f+1);
book(_h[r][o][f], buffer);
}
}
}
}
void analyze(const Event& event) {
// select ttbar -> lepton+jets
const vector<DressedLepton>& leptons = applyProjection<DressedLeptons>(event, "DressedLeptons").dressedLeptons();
int nsel_leptons = 0;
for (const DressedLepton& lepton : leptons) {
if (lepton.pt() > 26.) nsel_leptons += 1; else vetoEvent; // found veto lepton
}
if (nsel_leptons != 1) vetoEvent;
const Jets all_jets = applyProjection<FastJets>(event, "Jets").jetsByPt(jet_cut);
if (all_jets.size() < 4) vetoEvent;
// categorize jets
int nsel_bjets = 0;
int nsel_wjets = 0;
Jets jets[4];
for (const Jet& jet : all_jets) {
// check for jet-lepton overlap -> do not consider for selection
if (deltaR(jet, leptons[0]) < 0.4) continue;
bool overlap = false;
bool w_jet = false;
for (const Jet& jet2 : all_jets) {
if (jet.momentum() == jet2.momentum()) continue;
// check for jet-jet overlap -> do not consider for analysis
if (deltaR(jet, jet2) < 0.8)
overlap = true;
// check for W candidate
if (jet.bTagged() or jet2.bTagged()) continue;
FourMomentum w_cand = jet.momentum() + jet2.momentum();
if (abs(w_cand.mass() - 80.4) < 15.) w_jet = true;
}
// count jets for event selection
if (jet.bTagged()) nsel_bjets += 1;
if (w_jet) nsel_wjets += 1;
// jets for analysis
if (jet.abseta() > 2. or overlap) continue;
if (jet.bTagged()) {
jets[BOTTOM].push_back(jet);
} else if (w_jet) {
jets[QUARK].push_back(jet);
} else {
jets[GLUON].push_back(jet);
}
}
if (nsel_bjets != 2) vetoEvent;
if (nsel_wjets < 2) vetoEvent;
// substructure analysis
// no loop over incl jets -> more loc but faster
for (int f = 1; f < 4; ++f) {
for (const Jet& jet : jets[f]) {
// apply cuts on constituents
vector<PseudoJet> particles[2];
for (const Particle& p : jet.particles(Cuts::pT > 1.*GeV)) {
particles[ALL].push_back( PseudoJet(p.px(), p.py(), p.pz(), p.energy()) );
if (p.charge3() != 0)
particles[CHARGED].push_back( PseudoJet(p.px(), p.py(), p.pz(), p.energy()) );
}
if (particles[CHARGED].size() == 0) continue;
// recluster with C/A and anti-kt+WTA
PseudoJet ca_jet[2];
JetDefinition ca_def(fastjet::cambridge_algorithm, fastjet::JetDefinition::max_allowable_R);
ClusterSequence ca_charged(particles[CHARGED], ca_def);
ClusterSequence ca_all(particles[ALL], ca_def);
ca_jet[CHARGED] = ca_charged.exclusive_jets(1)[0];
ca_jet[ALL] = ca_all.exclusive_jets(1)[0];
PseudoJet akwta_jet[2];
JetDefinition akwta_def(fastjet::antikt_algorithm, fastjet::JetDefinition::max_allowable_R, fastjet::RecombinationScheme::WTA_pt_scheme);
ClusterSequence akwta_charged(particles[CHARGED], akwta_def);
ClusterSequence akwta_all(particles[ALL], akwta_def);
akwta_jet[CHARGED] = akwta_charged.exclusive_jets(1)[0];
akwta_jet[ALL] = akwta_all.exclusive_jets(1)[0];
// calculate observables
for (int r = 0; r < 2; ++r) {
int mult = akwta_jet[r].constituents().size();
// generalized angularities
_h[r][MULT][INCL]->fill(mult);
_h[r][MULT][f]->fill(mult);
if (mult > 1) {
double ptds = getPtDs(akwta_jet[r]);
double ga_lha = calcGA(0.5, 1., akwta_jet[r]);
double ga_width = calcGA(1., 1., akwta_jet[r]);
double ga_thrust = calcGA(2., 1., akwta_jet[r]);
_h[r][PTDS][INCL]->fill(ptds);
_h[r][PTDS][f]->fill(ptds);
_h[r][GA_LHA][INCL]->fill(ga_lha);
_h[r][GA_LHA][f]->fill(ga_lha);
_h[r][GA_WIDTH][INCL]->fill(ga_width);
_h[r][GA_WIDTH][f]->fill(ga_width);
_h[r][GA_THRUST][INCL]->fill(ga_thrust);
_h[r][GA_THRUST][f]->fill(ga_thrust);
}
// eccentricity
if (mult > 3) {
double ecc = getEcc(akwta_jet[r]);
_h[r][ECC][INCL]->fill(ecc);
_h[r][ECC][f]->fill(ecc);
}
// N-subjettiness
if (mult > 2) {
double tau21 = getTau(2, 1, ca_jet[r]);
_h[r][TAU21][INCL]->fill(tau21);
_h[r][TAU21][f]->fill(tau21);
}
if (mult > 3) {
double tau32 = getTau(3, 2, ca_jet[r]);
_h[r][TAU32][INCL]->fill(tau32);
_h[r][TAU32][f]->fill(tau32);
}
if (mult > 4) {
double tau43 = getTau(4, 3, ca_jet[r]);
_h[r][TAU43][INCL]->fill(tau43);
_h[r][TAU43][f]->fill(tau43);
}
// soft drop
if (mult > 1) {
vector<double> sd_results = getZg(ca_jet[r]);
if (sd_results[0] > 0.) {
_h[r][ZG][INCL]->fill(sd_results[0]);
_h[r][ZG][f]->fill(sd_results[0]);
_h[r][ZGDR][INCL]->fill(sd_results[1]);
_h[r][ZGDR][f]->fill(sd_results[1]);
}
}
int nsd = getNSD(0.007, -1., ca_jet[r]);
_h[r][NSD][INCL]->fill(nsd);
_h[r][NSD][f]->fill(nsd);
// C-series energy correlation ratios
if (mult > 1) {
double cn_00 = getC(1, 0.0, ca_jet[r]);
double cn_02 = getC(1, 0.2, ca_jet[r]);
double cn_05 = getC(1, 0.5, ca_jet[r]);
double cn_10 = getC(1, 1.0, ca_jet[r]);
double cn_20 = getC(1, 2.0, ca_jet[r]);
_h[r][C1_00][INCL]->fill(cn_00);
_h[r][C1_02][INCL]->fill(cn_02);
_h[r][C1_05][INCL]->fill(cn_05);
_h[r][C1_10][INCL]->fill(cn_10);
_h[r][C1_20][INCL]->fill(cn_20);
_h[r][C1_00][f]->fill(cn_00);
_h[r][C1_02][f]->fill(cn_02);
_h[r][C1_05][f]->fill(cn_05);
_h[r][C1_10][f]->fill(cn_10);
_h[r][C1_20][f]->fill(cn_20);
}
if (mult > 2) {
double cn_00 = getC(2, 0.0, ca_jet[r]);
double cn_02 = getC(2, 0.2, ca_jet[r]);
double cn_05 = getC(2, 0.5, ca_jet[r]);
double cn_10 = getC(2, 1.0, ca_jet[r]);
double cn_20 = getC(2, 2.0, ca_jet[r]);
_h[r][C2_00][INCL]->fill(cn_00);
_h[r][C2_02][INCL]->fill(cn_02);
_h[r][C2_05][INCL]->fill(cn_05);
_h[r][C2_10][INCL]->fill(cn_10);
_h[r][C2_20][INCL]->fill(cn_20);
_h[r][C2_00][f]->fill(cn_00);
_h[r][C2_02][f]->fill(cn_02);
_h[r][C2_05][f]->fill(cn_05);
_h[r][C2_10][f]->fill(cn_10);
_h[r][C2_20][f]->fill(cn_20);
}
if (mult > 3) {
double cn_00 = getC(3, 0.0, ca_jet[r]);
double cn_02 = getC(3, 0.2, ca_jet[r]);
double cn_05 = getC(3, 0.5, ca_jet[r]);
double cn_10 = getC(3, 1.0, ca_jet[r]);
double cn_20 = getC(3, 2.0, ca_jet[r]);
_h[r][C3_00][INCL]->fill(cn_00);
_h[r][C3_02][INCL]->fill(cn_02);
_h[r][C3_05][INCL]->fill(cn_05);
_h[r][C3_10][INCL]->fill(cn_10);
_h[r][C3_20][INCL]->fill(cn_20);
_h[r][C3_00][f]->fill(cn_00);
_h[r][C3_02][f]->fill(cn_02);
_h[r][C3_05][f]->fill(cn_05);
_h[r][C3_10][f]->fill(cn_10);
_h[r][C3_20][f]->fill(cn_20);
}
// M/N-series energy correlation ratios
if (mult > 2) {
double m2_b1 = getM(2, 1., ca_jet[r]);
double m2_b2 = getM(2, 2., ca_jet[r]);
double n2_b1 = getN(2, 1., ca_jet[r]);
double n2_b2 = getN(2, 2., ca_jet[r]);
_h[r][M2_B1][INCL]->fill(m2_b1);
_h[r][M2_B2][INCL]->fill(m2_b2);
_h[r][N2_B1][INCL]->fill(n2_b1);
_h[r][N2_B2][INCL]->fill(n2_b2);
_h[r][M2_B1][f]->fill(m2_b1);
_h[r][M2_B2][f]->fill(m2_b2);
_h[r][N2_B1][f]->fill(n2_b1);
_h[r][N2_B2][f]->fill(n2_b2);
}
if (mult > 3) {
double n3_b1 = getN(3, 1., ca_jet[r]);
double n3_b2 = getN(3, 2., ca_jet[r]);
_h[r][N3_B1][INCL]->fill(n3_b1);
_h[r][N3_B2][INCL]->fill(n3_b2);
_h[r][N3_B1][f]->fill(n3_b1);
_h[r][N3_B2][f]->fill(n3_b2);
}
}
}
}
}
void finalize() {
for (int r = 0; r < 2; ++r) { // reconstruction (charged, all)
for (int o = 0; o < 33; ++o) { // observable
for (int f = 0; f < 4; ++f) { // flavor
normalize(_h[r][o][f], 1.0, false);
}
}
}
}
//@}
private:
double deltaR(PseudoJet j1, PseudoJet j2) {
double deta = j1.eta() - j2.eta();
double dphi = j1.delta_phi_to(j2);
return sqrt(deta*deta + dphi*dphi);
}
double getPtDs(PseudoJet jet) {
double mult = jet.constituents().size();
double sumpt = 0.; // would be jet.pt() in WTA scheme but better keep it generic
double sumpt2 = 0.;
for (auto p : jet.constituents()) {
sumpt += p.pt();
sumpt2 += pow(p.pt(), 2);
}
double ptd = sumpt2/pow(sumpt,2);
return max(0., sqrt((ptd-1./mult) * mult/(mult-1.)));
}
double calcGA(double beta, double kappa, PseudoJet jet) {
double sumpt = 0.;
for (const auto& p : jet.constituents()) {
sumpt += p.pt();
}
double ga = 0.;
for (auto p : jet.constituents()) {
ga += pow(p.pt()/sumpt, kappa) * pow(deltaR(jet, p)/0.4, beta);
}
return ga;
}
double getEcc(PseudoJet jet) {
// Covariance matrix
Matrix<2> M;
for (const auto& p : jet.constituents()) {
Matrix<2> MPart;
MPart.set(0, 0, (p.eta() - jet.eta()) * (p.eta() - jet.eta()));
MPart.set(0, 1, (p.eta() - jet.eta()) * mapAngleMPiToPi(p.phi() - jet.phi()));
MPart.set(1, 0, mapAngleMPiToPi(p.phi() - jet.phi()) * (p.eta() - jet.eta()));
MPart.set(1, 1, mapAngleMPiToPi(p.phi() - jet.phi()) * mapAngleMPiToPi(p.phi() - jet.phi()));
M += MPart * p.e();
}
// Calculate eccentricity from eigenvalues
// Check that the matrix is symmetric.
const bool isSymm = M.isSymm();
if (!isSymm) {
MSG_ERROR("Error: energy tensor not symmetric:");
MSG_ERROR("[0,1] vs. [1,0]: " << M.get(0,1) << ", " << M.get(1,0));
}
// If not symmetric, something's wrong (we made sure the error msg appeared first).
assert(isSymm);
const double a = M.get(0,0);
const double b = M.get(1,1);
const double c = M.get(1,0);
const double l1 = 0.5*(a+b+sqrt( (a-b)*(a-b) + 4 *c*c));
const double l2 = 0.5*(a+b-sqrt( (a-b)*(a-b) + 4 *c*c));
return 1. - l2/l1;
}
double getTau(int N, int M, PseudoJet jet) {
fjcontrib::NsubjettinessRatio tau_ratio(N, M, fjcontrib::OnePass_WTA_KT_Axes(),
fjcontrib::NormalizedMeasure(1.0, 0.4));
return tau_ratio(jet);
}
vector<double> getZg(PseudoJet jet) {
PseudoJet jet0 = jet;
PseudoJet jet1, jet2;
double zg = 0.;
while (zg < 0.1 && jet0.has_parents(jet1, jet2)) {
zg = jet2.pt()/jet0.pt();
jet0 = jet1;
}
if (zg < 0.1) return {-1., -1.};
return {zg, jet1.delta_R(jet2)};
}
int getNSD(double zcut, double beta, PseudoJet jet) {
PseudoJet jet0 = jet;
PseudoJet jet1, jet2;
int nsd = 0.;
double zg = 0.;
while (jet0.has_parents(jet1, jet2)) {
zg = jet2.pt()/jet0.pt();
if (zg > zcut * pow(jet1.delta_R(jet2)/0.4, beta))
nsd += 1;
jet0 = jet1;
}
return nsd;
}
double getC(int N, double beta, PseudoJet jet) {
fjcontrib::EnergyCorrelatorDoubleRatio C(N, beta);
return C(jet);
}
double getM(int N, double beta, PseudoJet jet) {
fjcontrib::EnergyCorrelatorMseries CM(N, beta);
return CM(jet);
}
double getN(int N, double beta, PseudoJet jet) {
fjcontrib::EnergyCorrelatorNseries CN(N, beta);
return CN(jet);
}
private:
// @name Histogram data members
//@{
Cut particle_cut, lepton_cut, jet_cut;
Histo1DPtr _h[2][33][4];
//@}
};
// The hook for the plugin system
RIVET_DECLARE_PLUGIN(CMS_2018_I1690148);
}
|