Rivet analyses
Inclusive multilepton search at 8 TeV
Experiment: ATLAS (LHC)
Inspire ID: 1327229
Status: VALIDATED
Authors: - Joern Mahlstedt
References: - Expt page: ATLAS-EXOT-2012-20 - arXiv: 1411.2921
Beams: p+ p+
Beam energies: (4000.0, 4000.0)GeV
Run details: - Any process producing at least 3 leptons (e.g. pair production of doubly-charged Higgs or excited leptons)
A generic search for anomalous production of events with at least three charged leptons is presented. The data sample consists of pp collisions at $\sqrt{s} = 8$,TeV collected in 2012 by the ATLAS experiment at the CERN Large Hadron Collider, and corresponds to an integrated luminosity of 20.3,fb−1. Events are required to have at least three selected lepton candidates, at least two of which must be electrons or muons, while the third may be a hadronically decaying tau. Selected events are categorized based on their lepton flavour content and signal regions are constructed using several kinematic variables of interest. No significant deviations from Standard Model predictions are observed. Model-independent upper limits on contributions from beyond the Standard Model phenomena are provided for each signal region, along with prescription to re-interpret the limits for any model. Constraints are also placed on models predicting doubly charged Higgs bosons and excited leptons. For doubly charged Higgs bosons decaying to eτ or $\muon\tau$, lower limits on the mass are set at 400,GeV at 95,% confidence level. For excited leptons, constraints are provided as functions of both the mass of the excited state and the compositeness scale Λ, with the strongest mass constraints arising in regions where the mass equals Λ. In such scenarios, lower mass limits are set at 3.0,TeV for excited electrons and muons, 2.5,TeV for excited taus, and 1.6,TeV for every excited-neutrino flavour.
Source
code:ATLAS_2014_I1327229.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/VisibleFinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/UnstableParticles.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Tools/Random.hh"
namespace Rivet {
/// Inclusive multilepton search at 8 TeV
class ATLAS_2014_I1327229 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2014_I1327229);
/// Book histograms and initialise projections before the run
void init() {
// To calculate the acceptance without having the fiducial lepton efficiencies included, this part can be turned off
_use_fiducial_lepton_efficiency = true;
// Read in all signal regions
_signal_regions = getSignalRegions();
// Set number of events per signal region to 0
for (size_t i = 0; i < _signal_regions.size(); i++)
book(_eventCountsPerSR[_signal_regions[i]], "_eventCountsPerSR_" + _signal_regions[i]);
// Final state including all charged and neutral particles
const FinalState fs((Cuts::etaIn(-5.0, 5.0) && Cuts::pT >= 1*GeV));
declare(fs, "FS");
// Final state including all charged particles
declare(ChargedFinalState((Cuts::etaIn(-2.5, 2.5) && Cuts::pT >= 1*GeV)), "CFS");
// Final state including all visible particles (to calculate MET, Jets etc.)
declare(VisibleFinalState((Cuts::etaIn(-5.0,5.0))),"VFS");
// Final state including all AntiKt 04 Jets
VetoedFinalState vfs;
vfs.addVetoPairId(PID::MUON);
declare(FastJets(vfs, JetAlg::ANTIKT, 0.4), "AntiKtJets04");
// Final state including all unstable particles (including taus)
declare(UnstableParticles(Cuts::abseta < 5.0 && Cuts::pT > 5*GeV),"UFS");
// Final state including all electrons
IdentifiedFinalState elecs(Cuts::abseta < 2.47 && Cuts::pT > 10*GeV);
elecs.acceptIdPair(PID::ELECTRON);
declare(elecs, "elecs");
// Final state including all muons
IdentifiedFinalState muons(Cuts::abseta < 2.5 && Cuts::pT > 10*GeV);
muons.acceptIdPair(PID::MUON);
declare(muons, "muons");
/// Book histograms:
book(_h_HTlep_all ,"HTlep_all", 30,0,3000);
book(_h_HTjets_all ,"HTjets_all", 30,0,3000);
book(_h_MET_all ,"MET_all", 30,0,1500);
book(_h_Meff_all ,"Meff_all", 50,0,5000);
book(_h_min_pT_all ,"min_pT_all", 50, 0, 2000);
book(_h_mT_all ,"mT_all", 50, 0, 2000);
book(_h_e_n ,"e_n", 10, -0.5, 9.5);
book(_h_mu_n ,"mu_n", 10, -0.5, 9.5);
book(_h_tau_n ,"tau_n", 10, -0.5, 9.5);
book(_h_pt_1_3l ,"pt_1_3l", 100, 0, 2000);
book(_h_pt_2_3l ,"pt_2_3l", 100, 0, 2000);
book(_h_pt_3_3l ,"pt_3_3l", 100, 0, 2000);
book(_h_pt_1_2ltau ,"pt_1_2ltau", 100, 0, 2000);
book(_h_pt_2_2ltau ,"pt_2_2ltau", 100, 0, 2000);
book(_h_pt_3_2ltau ,"pt_3_2ltau", 100, 0, 2000);
book(_h_excluded ,"excluded", 2, -0.5, 1.5);
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Muons
Particles muon_candidates;
const Particles charged_tracks = apply<ChargedFinalState>(event, "CFS").particles();
const Particles visible_particles = apply<VisibleFinalState>(event, "VFS").particles();
for (const Particle& mu : apply<IdentifiedFinalState>(event, "muons").particlesByPt() ) {
// Calculate pTCone30 variable (pT of all tracks within dR<0.3 - pT of muon itself)
double pTinCone = -mu.pT();
for (const Particle& track : charged_tracks ) {
if (deltaR(mu.momentum(),track.momentum()) < 0.3 )
pTinCone += track.pT();
}
// Calculate eTCone30 variable (pT of all visible particles within dR<0.3)
double eTinCone = 0.;
for (const Particle& visible_particle : visible_particles) {
if (visible_particle.abspid() != PID::MUON && inRange(deltaR(mu.momentum(),visible_particle.momentum()), 0.1, 0.3))
eTinCone += visible_particle.pT();
}
// Apply reconstruction efficiency and simulate reconstruction
int muon_id = 13;
if (mu.hasAncestorWith(Cuts::pid == PID::TAU) || mu.hasAncestorWith(Cuts::pid == -PID::TAU)) muon_id = 14;
const double eff = (_use_fiducial_lepton_efficiency) ? apply_reco_eff(muon_id,mu) : 1.0;
const bool keep_muon = rand01()<=eff;
// Keep muon if pTCone30/pT < 0.15 and eTCone30/pT < 0.2 and reconstructed
if (keep_muon && pTinCone/mu.pT() <= 0.1 && eTinCone/mu.pT() < 0.1)
muon_candidates.push_back(mu);
}
// Electrons
Particles electron_candidates;
for (const Particle& e : apply<IdentifiedFinalState>(event, "elecs").particlesByPt() ) {
// Neglect electrons in crack regions
if (inRange(e.abseta(), 1.37, 1.52)) continue;
// Calculate pTCone30 variable (pT of all tracks within dR<0.3 - pT of electron itself)
double pTinCone = -e.pT();
for (const Particle& track : charged_tracks) {
if (deltaR(e.momentum(), track.momentum()) < 0.3 ) pTinCone += track.pT();
}
// Calculate eTCone30 variable (pT of all visible particles (except muons) within dR<0.3)
double eTinCone = 0.;
for (const Particle& visible_particle : visible_particles) {
if (visible_particle.abspid() != PID::MUON && inRange(deltaR(e.momentum(),visible_particle.momentum()), 0.1, 0.3))
eTinCone += visible_particle.pT();
}
// Apply reconstruction efficiency and simulate reconstruction
int elec_id = 11;
if (e.hasAncestorWith(Cuts::pid == 15) || e.hasAncestorWith(Cuts::pid == -15)) elec_id = 12;
const double eff = (_use_fiducial_lepton_efficiency) ? apply_reco_eff(elec_id,e) : 1.0;
const bool keep_elec = rand01()<=eff;
// Keep electron if pTCone30/pT < 0.13 and eTCone30/pT < 0.2 and reconstructed
if (keep_elec && pTinCone/e.pT() <= 0.1 && eTinCone/e.pT() < 0.1)
electron_candidates.push_back(e);
}
// Taus
Particles tau_candidates;
for (const Particle& tau : apply<UnstableParticles>(event, "UFS").particles() ) {
// Only pick taus out of all unstable particles
if ( tau.abspid() != PID::TAU) continue;
// Check that tau has decayed into daughter particles
if (tau.genParticle()->end_vertex() == 0) continue;
// Calculate visible tau momentum using the tau neutrino momentum in the tau decay
FourMomentum daughter_tau_neutrino_momentum = get_tau_neutrino_momentum(tau);
Particle tau_vis = tau;
tau_vis.setMomentum(tau.momentum()-daughter_tau_neutrino_momentum);
// keep only taus in certain eta region and above 15 GeV of visible tau pT
if ( tau_vis.pT()/GeV <= 15.0 || tau_vis.abseta() > 2.5) continue;
// Get prong number (number of tracks) in tau decay and check if tau decays leptonically
unsigned int nprong = 0;
bool lep_decaying_tau = false;
get_prong_number(tau.genParticle(),nprong,lep_decaying_tau);
// Apply reconstruction efficiency and simulate reconstruction
int tau_id = 15;
if (nprong == 1) tau_id = 15;
else if (nprong == 3) tau_id = 16;
const double eff = (_use_fiducial_lepton_efficiency) ? apply_reco_eff(tau_id,tau_vis) : 1.0;
const bool keep_tau = rand01()<=eff;
// Keep tau if nprong = 1, it decays hadronically and it is reconstructed
if ( !lep_decaying_tau && nprong == 1 && keep_tau) tau_candidates.push_back(tau_vis);
}
// Jets (all anti-kt R=0.4 jets with pT > 30 GeV and eta < 4.9
Jets jet_candidates = apply<FastJets>(event, "AntiKtJets04").jetsByPt(Cuts::pT > 30.0*GeV && Cuts::abseta < 4.9);
// ETmiss
Particles vfs_particles = apply<VisibleFinalState>(event, "VFS").particles();
FourMomentum pTmiss;
for (const Particle& p : vfs_particles)
pTmiss -= p.momentum();
double eTmiss = pTmiss.pT()/GeV;
// -------------------------
// Overlap removal
// electron - electron
Particles electron_candidates_2;
for(size_t ie = 0; ie < electron_candidates.size(); ++ie) {
const Particle& e = electron_candidates[ie];
bool away = true;
// If electron pair within dR < 0.1: remove electron with lower pT
for(size_t ie2 = 0; ie2 < electron_candidates_2.size(); ++ie2) {
if (deltaR(e.momentum(),electron_candidates_2[ie2].momentum()) < 0.1 ) {
away = false;
break;
}
}
// If isolated keep it
if ( away )
electron_candidates_2.push_back( e );
}
// jet - electron
Jets recon_jets;
for (const Jet& jet : jet_candidates) {
bool away = true;
// If jet within dR < 0.2 of electron: remove jet
for (const Particle& e : electron_candidates_2) {
if (deltaR(e.momentum(), jet.momentum()) < 0.2 ) {
away = false;
break;
}
}
// jet - tau
if ( away ) {
// If jet within dR < 0.2 of tau: remove jet
for (const Particle& tau : tau_candidates) {
if (deltaR(tau.momentum(), jet.momentum()) < 0.2 ) {
away = false;
break;
}
}
}
// If isolated keep it
if ( away )
recon_jets.push_back( jet );
}
// electron - jet
Particles recon_leptons, recon_e;
for (size_t ie = 0; ie < electron_candidates_2.size(); ++ie) {
const Particle& e = electron_candidates_2[ie];
// If electron within 0.2 < dR < 0.4 from any jets: remove electron
bool away = true;
for (const Jet& jet : recon_jets) {
if (deltaR(e.momentum(), jet.momentum()) < 0.4 ) {
away = false;
break;
}
}
// electron - muon
// If electron within dR < 0.1 of a muon: remove electron
if (away) {
for (const Particle& mu : muon_candidates) {
if (deltaR(mu.momentum(),e.momentum()) < 0.1) {
away = false;
break;
}
}
}
// If isolated keep it
if ( away ) {
recon_e.push_back( e );
recon_leptons.push_back( e );
}
}
// tau - electron
Particles recon_tau;
for (const Particle& tau : tau_candidates) {
bool away = true;
// If tau within dR < 0.2 of an electron: remove tau
for (const Particle & e : recon_e) {
if (deltaR(tau.momentum(),e.momentum()) < 0.2 ) {
away = false;
break;
}
}
// tau - muon
// If tau within dR < 0.2 of a muon: remove tau
if (away) {
for (const Particle& mu : muon_candidates) {
if (deltaR(tau.momentum(), mu.momentum()) < 0.2 ) {
away = false;
break;
}
}
}
// If isolated keep it
if (away) recon_tau.push_back( tau );
}
// muon - jet
Particles recon_mu, trigger_mu;
// If muon within dR < 0.4 of a jet: remove muon
for (const Particle& mu : muon_candidates ) {
bool away = true;
for (const Jet& jet : recon_jets) {
if (deltaR(mu.momentum(), jet.momentum()) < 0.4 ) {
away = false;
break;
}
}
if (away) {
recon_mu.push_back( mu );
recon_leptons.push_back( mu );
if (mu.abseta() < 2.4) trigger_mu.push_back( mu );
}
}
// End overlap removal
// ---------------------
// Jet cleaning
if (rand01() <= 0.42) {
for (const Jet& jet : recon_jets ) {
const double eta = jet.rapidity();
const double phi = jet.azimuthalAngle(MINUSPI_PLUSPI);
if(jet.pT() > 25*GeV && inRange(eta,-0.1,1.5) && inRange(phi,-0.9,-0.5)) vetoEvent;
}
}
// Event selection
// Require at least 3 charged tracks in event
if (charged_tracks.size() < 3) vetoEvent;
// And at least one e/mu passing trigger
if( !( !recon_e.empty() && recon_e[0].pT()>26.*GeV) &&
!( !trigger_mu.empty() && trigger_mu[0].pT()>26.*GeV) ) {
MSG_DEBUG("Hardest lepton fails trigger");
vetoEvent;
}
// And only accept events with at least 2 electrons and muons and at least 3 leptons in total
if (recon_mu.size() + recon_e.size() + recon_tau.size() < 3 || recon_leptons.size() < 2) vetoEvent;
// Sort leptons by decreasing pT
isortByPt(recon_leptons);
isortByPt(recon_tau);
// Calculate HTlep, fill lepton pT histograms & store chosen combination of 3 leptons
double HTlep = 0.;
Particles chosen_leptons;
if (recon_leptons.size() > 2) {
_h_pt_1_3l->fill(recon_leptons[0].pT()/GeV);
_h_pt_2_3l->fill(recon_leptons[1].pT()/GeV);
_h_pt_3_3l->fill(recon_leptons[2].pT()/GeV);
HTlep = (recon_leptons[0].pT() + recon_leptons[1].pT() + recon_leptons[2].pT())/GeV;
chosen_leptons.push_back( recon_leptons[0] );
chosen_leptons.push_back( recon_leptons[1] );
chosen_leptons.push_back( recon_leptons[2] );
}
else {
_h_pt_1_2ltau->fill(recon_leptons[0].pT()/GeV);
_h_pt_2_2ltau->fill(recon_leptons[1].pT()/GeV);
_h_pt_3_2ltau->fill(recon_tau[0].pT()/GeV);
HTlep = recon_leptons[0].pT()/GeV + recon_leptons[1].pT()/GeV + recon_tau[0].pT()/GeV;
chosen_leptons.push_back( recon_leptons[0] );
chosen_leptons.push_back( recon_leptons[1] );
chosen_leptons.push_back( recon_tau[0] );
}
// Calculate mT and mTW variable
Particles mT_leptons;
Particles mTW_leptons;
for (size_t i1 = 0; i1 < 3; i1 ++) {
for (size_t i2 = i1+1; i2 < 3; i2 ++) {
double OSSF_inv_mass = isOSSF_mass(chosen_leptons[i1],chosen_leptons[i2]);
if (OSSF_inv_mass != 0.) {
for (size_t i3 = 0; i3 < 3 ; i3 ++) {
if (i3 != i2 && i3 != i1) {
mT_leptons.push_back(chosen_leptons[i3]);
if ( fabs(91.0 - OSSF_inv_mass) < 20. )
mTW_leptons.push_back(chosen_leptons[i3]);
}
}
}
else {
mT_leptons.push_back(chosen_leptons[0]);
mTW_leptons.push_back(chosen_leptons[0]);
}
}
}
isortByPt(mT_leptons);
isortByPt(mTW_leptons);
double mT = sqrt(2*pTmiss.pT()/GeV*mT_leptons[0].pT()/GeV*(1-cos(pTmiss.phi()-mT_leptons[0].phi())));
double mTW = sqrt(2*pTmiss.pT()/GeV*mTW_leptons[0].pT()/GeV*(1-cos(pTmiss.phi()-mTW_leptons[0].phi())));
// Calculate Min pT variable
double min_pT = chosen_leptons[2].pT()/GeV;
// Number of prompt e/mu and had taus
_h_e_n->fill(recon_e.size());
_h_mu_n->fill(recon_mu.size());
_h_tau_n->fill(recon_tau.size());
// Calculate HTjets variable
double HTjets = 0.;
for (const Jet& jet : recon_jets)
HTjets += jet.pT()/GeV;
// Calculate meff variable
double meff = eTmiss + HTjets;
Particles all_leptons;
for (const Particle& e : recon_e ) {
meff += e.pT()/GeV;
all_leptons.push_back( e );
}
for (const Particle& mu : recon_mu) {
meff += mu.pT()/GeV;
all_leptons.push_back( mu );
}
for (const Particle& tau : recon_tau) {
meff += tau.pT()/GeV;
all_leptons.push_back( tau );
}
// Fill histograms of kinematic variables
_h_HTlep_all->fill(HTlep);
_h_HTjets_all->fill(HTjets);
_h_MET_all->fill(eTmiss);
_h_Meff_all->fill(meff);
_h_min_pT_all->fill(min_pT);
_h_mT_all->fill(mT);
// Determine signal region (3l / 2ltau , onZ / offZ OSSF / offZ no-OSSF)
// 3l vs. 2ltau
string basic_signal_region;
if (recon_mu.size() + recon_e.size() > 2)
basic_signal_region += "3l_";
else if ( (recon_mu.size() + recon_e.size() == 2) && (recon_tau.size() > 0))
basic_signal_region += "2ltau_";
// Is there an OSSF pair or a three lepton combination with an invariant mass close to the Z mass
int onZ = isonZ(chosen_leptons);
if (onZ == 1) basic_signal_region += "onZ";
else if (onZ == 0) {
bool OSSF = isOSSF(chosen_leptons);
if (OSSF) basic_signal_region += "offZ_OSSF";
else basic_signal_region += "offZ_noOSSF";
}
// Check in which signal regions this event falls and adjust event counters
// INFO: The b-jet signal regions of the paper are not included in this Rivet implementation
fillEventCountsPerSR(basic_signal_region,onZ,HTlep,eTmiss,HTjets,meff,min_pT,mTW);
}
/// Normalise histograms etc., after the run
void finalize() {
// Normalize to an integrated luminosity of 1 fb-1
double norm = crossSection()/femtobarn/sumOfWeights();
string best_signal_region = "";
double ratio_best_SR = 0.;
// Loop over all signal regions and find signal region with best sensitivity (ratio signal events/visible cross-section)
for (size_t i = 0; i < _signal_regions.size(); i++) {
double signal_events = _eventCountsPerSR[_signal_regions[i]]->val() * norm;
// Use expected upper limits to find best signal region:
double UL95 = getUpperLimit(_signal_regions[i],false);
double ratio = signal_events / UL95;
if (ratio > ratio_best_SR) {
best_signal_region = _signal_regions.at(i);
ratio_best_SR = ratio;
}
}
double signal_events_best_SR = _eventCountsPerSR[best_signal_region]->val() * norm;
double exp_UL_best_SR = getUpperLimit(best_signal_region, false);
double obs_UL_best_SR = getUpperLimit(best_signal_region, true);
// Print out result
cout << "----------------------------------------------------------------------------------------" << '\n';
cout << "Number of total events: " << sumOfWeights() << '\n';
cout << "Best signal region: " << best_signal_region << '\n';
cout << "Normalized number of signal events in this best signal region (per fb-1): " << signal_events_best_SR << '\n';
cout << "Efficiency*Acceptance: " << _eventCountsPerSR[best_signal_region]->val()/sumOfWeights() << '\n';
cout << "Cross-section [fb]: " << crossSection()/femtobarn << '\n';
cout << "Expected visible cross-section (per fb-1): " << exp_UL_best_SR << '\n';
cout << "Ratio (signal events / expected visible cross-section): " << ratio_best_SR << '\n';
cout << "Observed visible cross-section (per fb-1): " << obs_UL_best_SR << '\n';
cout << "Ratio (signal events / observed visible cross-section): " << signal_events_best_SR/obs_UL_best_SR << '\n';
cout << "----------------------------------------------------------------------------------------" << '\n';
cout << "Using the EXPECTED limits (visible cross-section) of the analysis: " << '\n';
if (signal_events_best_SR > exp_UL_best_SR) {
cout << "Since the number of signal events > the visible cross-section, this model/grid point is EXCLUDED with 95% C.L." << '\n';
_h_excluded->fill(1);
}
else {
cout << "Since the number of signal events < the visible cross-section, this model/grid point is NOT EXCLUDED." << '\n';
_h_excluded->fill(0);
}
cout << "----------------------------------------------------------------------------------------" << '\n';
cout << "Using the OBSERVED limits (visible cross-section) of the analysis: " << '\n';
if (signal_events_best_SR > obs_UL_best_SR) {
cout << "Since the number of signal events > the visible cross-section, this model/grid point is EXCLUDED with 95% C.L." << '\n';
_h_excluded->fill(1);
}
else {
cout << "Since the number of signal events < the visible cross-section, this model/grid point is NOT EXCLUDED." << '\n';
_h_excluded->fill(0);
}
cout << "----------------------------------------------------------------------------------------" << '\n';
cout << "INFO: The b-jet signal regions of the paper are not included in this Rivet implementation." << '\n';
cout << "----------------------------------------------------------------------------------------" << '\n';
/// Normalize to cross section
if (norm != 0) {
scale(_h_HTlep_all, norm);
scale(_h_HTjets_all, norm);
scale(_h_MET_all, norm);
scale(_h_Meff_all, norm);
scale(_h_min_pT_all, norm);
scale(_h_mT_all, norm);
scale(_h_pt_1_3l, norm);
scale(_h_pt_2_3l, norm);
scale(_h_pt_3_3l, norm);
scale(_h_pt_1_2ltau, norm);
scale(_h_pt_2_2ltau, norm);
scale(_h_pt_3_2ltau, norm);
scale(_h_e_n, norm);
scale(_h_mu_n, norm);
scale(_h_tau_n, norm);
scale(_h_excluded, norm);
}
}
/// Helper functions
/// @{
/// Function giving a list of all signal regions
vector<string> getSignalRegions() {
// List of basic signal regions
vector<string> basic_signal_regions;
basic_signal_regions.push_back("3l_offZ_OSSF");
basic_signal_regions.push_back("3l_offZ_noOSSF");
basic_signal_regions.push_back("3l_onZ");
basic_signal_regions.push_back("2ltau_offZ_OSSF");
basic_signal_regions.push_back("2ltau_offZ_noOSSF");
basic_signal_regions.push_back("2ltau_onZ");
// List of kinematic variables
vector<string> kinematic_variables;
kinematic_variables.push_back("HTlep");
kinematic_variables.push_back("METStrong");
kinematic_variables.push_back("METWeak");
kinematic_variables.push_back("Meff");
kinematic_variables.push_back("MeffStrong");
kinematic_variables.push_back("MeffMt");
kinematic_variables.push_back("MinPt");
vector<string> signal_regions;
// Loop over all kinematic variables and basic signal regions
for (size_t i0 = 0; i0 < kinematic_variables.size(); i0++) {
for (size_t i1 = 0; i1 < basic_signal_regions.size(); i1++) {
// Is signal region onZ?
int onZ = (basic_signal_regions[i1].find("onZ") != string::npos) ? 1 : 0;
// Get cut values for this kinematic variable
vector<int> cut_values = getCutsPerSignalRegion(kinematic_variables[i0], onZ);
// Loop over all cut values
for (size_t i2 = 0; i2 < cut_values.size(); i2++) {
// Push signal region into vector
signal_regions.push_back( kinematic_variables[i0] + "_" + basic_signal_regions[i1] + "_cut_" + toString(cut_values[i2]) );
}
}
}
return signal_regions;
}
/// Function giving all cut values per kinematic variable
vector<int> getCutsPerSignalRegion(const string& signal_region, int onZ = 0) {
vector<int> cutValues;
// Cut values for HTlep
if (signal_region.compare("HTlep") == 0) {
cutValues.push_back(0);
cutValues.push_back(200);
cutValues.push_back(500);
cutValues.push_back(800);
}
// Cut values for MinPt
else if (signal_region.compare("MinPt") == 0) {
cutValues.push_back(0);
cutValues.push_back(50);
cutValues.push_back(100);
cutValues.push_back(150);
}
// Cut values for METStrong (HTjets > 150 GeV) and METWeak (HTjets < 150 GeV)
else if (signal_region.compare("METStrong") == 0 || signal_region.compare("METWeak") == 0) {
cutValues.push_back(0);
cutValues.push_back(100);
cutValues.push_back(200);
cutValues.push_back(300);
}
// Cut values for Meff
if (signal_region.compare("Meff") == 0) {
cutValues.push_back(0);
cutValues.push_back(600);
cutValues.push_back(1000);
cutValues.push_back(1500);
}
// Cut values for MeffStrong (MET > 100 GeV)
if ((signal_region.compare("MeffStrong") == 0 || signal_region.compare("MeffMt") == 0) && onZ ==1) {
cutValues.push_back(0);
cutValues.push_back(600);
cutValues.push_back(1200);
}
return cutValues;
}
/// function fills map _eventCountsPerSR by looping over all signal regions
/// and looking if the event falls into this signal region
void fillEventCountsPerSR(const string& basic_signal_region, int onZ,
double HTlep, double eTmiss, double HTjets,
double meff, double min_pT, double mTW) {
// Get cut values for HTlep, loop over them and add event if cut is passed
vector<int> cut_values = getCutsPerSignalRegion("HTlep", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (HTlep > cut_values[i])
_eventCountsPerSR[("HTlep_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for MinPt, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("MinPt", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (min_pT > cut_values[i])
_eventCountsPerSR[("MinPt_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for METStrong, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("METStrong", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (eTmiss > cut_values[i] && HTjets > 150.)
_eventCountsPerSR[("METStrong_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for METWeak, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("METWeak", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (eTmiss > cut_values[i] && HTjets <= 150.)
_eventCountsPerSR[("METWeak_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for Meff, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("Meff", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (meff > cut_values[i])
_eventCountsPerSR[("Meff_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for MeffStrong, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("MeffStrong", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (meff > cut_values[i] && eTmiss > 100.)
_eventCountsPerSR[("MeffStrong_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
// Get cut values for MeffMt, loop over them and add event if cut is passed
cut_values = getCutsPerSignalRegion("MeffMt", onZ);
for (size_t i = 0; i < cut_values.size(); i++) {
if (meff > cut_values[i] && mTW > 100. && onZ == 1)
_eventCountsPerSR[("MeffMt_" + basic_signal_region + "_cut_" + toString(cut_values[i]))]->fill();
}
}
/// Function returning 4-momentum of daughter-particle if it is a tau neutrino
FourMomentum get_tau_neutrino_momentum(const Particle& p) {
assert(p.abspid() == PID::TAU);
ConstGenVertexPtr dv = p.genParticle()->end_vertex();
assert(dv != nullptr);
// Loop over all daughter particles
for(ConstGenParticlePtr pp: HepMCUtils::particles(dv, Relatives::CHILDREN)){
if (abs(pp->pdg_id()) == PID::NU_TAU) return FourMomentum(pp->momentum());
}
return FourMomentum();
}
/// Function calculating the prong number of taus
void get_prong_number(ConstGenParticlePtr p, unsigned int& nprong, bool& lep_decaying_tau) {
assert(p != nullptr);
ConstGenVertexPtr dv = p->end_vertex();
assert(dv != nullptr);
for(ConstGenParticlePtr pp: HepMCUtils::particles(dv, Relatives::CHILDREN)){
// If they have status 1 and are charged they will produce a track and the prong number is +1
if (pp->status() == 1 ) {
const int id = pp->pdg_id();
if (Rivet::PID::charge(id) != 0 ) ++nprong;
// Check if tau decays leptonically
if (( abs(id) == PID::ELECTRON || abs(id) == PID::MUON || abs(id) == PID::TAU ) && abs(p->pdg_id()) == PID::TAU) lep_decaying_tau = true;
}
// If the status of the daughter particle is 2 it is unstable and the further decays are checked
else if (pp->status() == 2 ) {
get_prong_number(pp,nprong,lep_decaying_tau);
}
}
}
/// Function giving fiducial lepton efficiency
double apply_reco_eff(int flavor, const Particle& p) {
double pt = p.pT()/GeV;
double eta = p.eta();
double eff = 0.;
if (flavor == 11) { // weight prompt electron -- now including data/MC ID SF in eff.
double avgrate = 0.685;
const static double wz_ele[] = {0.0256,0.522,0.607,0.654,0.708,0.737,0.761,0.784,0.815,0.835,0.851,0.841,0.898};
// double ewz_ele[] = {0.000257,0.00492,0.00524,0.00519,0.00396,0.00449,0.00538,0.00513,0.00773,0.00753,0.0209,0.0964,0.259};
int ibin = 0;
if(pt > 10 && pt < 15) ibin = 0;
if(pt > 15 && pt < 20) ibin = 1;
if(pt > 20 && pt < 25) ibin = 2;
if(pt > 25 && pt < 30) ibin = 3;
if(pt > 30 && pt < 40) ibin = 4;
if(pt > 40 && pt < 50) ibin = 5;
if(pt > 50 && pt < 60) ibin = 6;
if(pt > 60 && pt < 80) ibin = 7;
if(pt > 80 && pt < 100) ibin = 8;
if(pt > 100 && pt < 200) ibin = 9;
if(pt > 200 && pt < 400) ibin = 10;
if(pt > 400 && pt < 600) ibin = 11;
if(pt > 600) ibin = 12;
double eff_pt = 0.;
eff_pt = wz_ele[ibin];
eta = fabs(eta);
const static double wz_ele_eta[] = {0.65,0.714,0.722,0.689,0.635,0.615};
// double ewz_ele_eta[] = {0.00642,0.00355,0.00335,0.004,0.00368,0.00422};
ibin = 0;
if(eta > 0 && eta < 0.1) ibin = 0;
if(eta > 0.1 && eta < 0.5) ibin = 1;
if(eta > 0.5 && eta < 1.0) ibin = 2;
if(eta > 1.0 && eta < 1.5) ibin = 3;
if(eta > 1.5 && eta < 2.0) ibin = 4;
if(eta > 2.0 && eta < 2.5) ibin = 5;
double eff_eta = 0.;
eff_eta = wz_ele_eta[ibin];
eff = (eff_pt * eff_eta) / avgrate;
}
if (flavor == 12) { // weight electron from tau
double avgrate = 0.476;
const static double wz_ele[] = {0.00855,0.409,0.442,0.55,0.632,0.616,0.615,0.642,0.72,0.617};
// double ewz_ele[] = {0.000573,0.0291,0.0366,0.0352,0.0363,0.0474,0.0628,0.0709,0.125,0.109};
int ibin = 0;
if(pt > 10 && pt < 15) ibin = 0;
if(pt > 15 && pt < 20) ibin = 1;
if(pt > 20 && pt < 25) ibin = 2;
if(pt > 25 && pt < 30) ibin = 3;
if(pt > 30 && pt < 40) ibin = 4;
if(pt > 40 && pt < 50) ibin = 5;
if(pt > 50 && pt < 60) ibin = 6;
if(pt > 60 && pt < 80) ibin = 7;
if(pt > 80 && pt < 100) ibin = 8;
if(pt > 100) ibin = 9;
double eff_pt = 0.;
eff_pt = wz_ele[ibin];
eta = fabs(eta);
const static double wz_ele_eta[] = {0.546,0.5,0.513,0.421,0.47,0.433};
//double ewz_ele_eta[] = {0.0566,0.0257,0.0263,0.0263,0.0303,0.0321};
ibin = 0;
if(eta > 0 && eta < 0.1) ibin = 0;
if(eta > 0.1 && eta < 0.5) ibin = 1;
if(eta > 0.5 && eta < 1.0) ibin = 2;
if(eta > 1.0 && eta < 1.5) ibin = 3;
if(eta > 1.5 && eta < 2.0) ibin = 4;
if(eta > 2.0 && eta < 2.5) ibin = 5;
double eff_eta = 0.;
eff_eta = wz_ele_eta[ibin];
eff = (eff_pt * eff_eta) / avgrate;
}
if (flavor == 13) { // weight prompt muon
int ibin = 0;
if(pt > 10 && pt < 15) ibin = 0;
if(pt > 15 && pt < 20) ibin = 1;
if(pt > 20 && pt < 25) ibin = 2;
if(pt > 25 && pt < 30) ibin = 3;
if(pt > 30 && pt < 40) ibin = 4;
if(pt > 40 && pt < 50) ibin = 5;
if(pt > 50 && pt < 60) ibin = 6;
if(pt > 60 && pt < 80) ibin = 7;
if(pt > 80 && pt < 100) ibin = 8;
if(pt > 100 && pt < 200) ibin = 9;
if(pt > 200 && pt < 400) ibin = 10;
if(pt > 400) ibin = 11;
if(fabs(eta) < 0.1) {
const static double wz_mu[] = {0.00705,0.402,0.478,0.49,0.492,0.499,0.527,0.512,0.53,0.528,0.465,0.465};
//double ewz_mu[] = {0.000298,0.0154,0.017,0.0158,0.0114,0.0123,0.0155,0.0133,0.0196,0.0182,0.0414,0.0414};
double eff_pt = 0.;
eff_pt = wz_mu[ibin];
eff = eff_pt;
}
if(fabs(eta) > 0.1) {
const static double wz_mu[] = {0.0224,0.839,0.887,0.91,0.919,0.923,0.925,0.925,0.922,0.918,0.884,0.834};
//double ewz_mu[] = {0.000213,0.00753,0.0074,0.007,0.00496,0.00534,0.00632,0.00583,0.00849,0.00804,0.0224,0.0963};
double eff_pt = 0.;
eff_pt = wz_mu[ibin];
eff = eff_pt;
}
}
if (flavor == 14) { // weight muon from tau
int ibin = 0;
if(pt > 10 && pt < 15) ibin = 0;
if(pt > 15 && pt < 20) ibin = 1;
if(pt > 20 && pt < 25) ibin = 2;
if(pt > 25 && pt < 30) ibin = 3;
if(pt > 30 && pt < 40) ibin = 4;
if(pt > 40 && pt < 50) ibin = 5;
if(pt > 50 && pt < 60) ibin = 6;
if(pt > 60 && pt < 80) ibin = 7;
if(pt > 80 && pt < 100) ibin = 8;
if(pt > 100) ibin = 9;
if(fabs(eta) < 0.1) {
const static double wz_mu[] = {0.0,0.664,0.124,0.133,0.527,0.283,0.495,0.25,0.5,0.331};
//double ewz_mu[] = {0.0,0.192,0.0437,0.0343,0.128,0.107,0.202,0.125,0.25,0.191};
double eff_pt = 0.;
eff_pt = wz_mu[ibin];
eff = eff_pt;
}
if(fabs(eta) > 0.1) {
const static double wz_mu[] = {0.0,0.617,0.655,0.676,0.705,0.738,0.712,0.783,0.646,0.745};
//double ewz_mu[] = {0.0,0.043,0.0564,0.0448,0.0405,0.0576,0.065,0.0825,0.102,0.132};
double eff_pt = 0.;
eff_pt = wz_mu[ibin];
eff = eff_pt;
}
}
if (flavor == 15) { // weight hadronic tau 1p
double avgrate = 0.16;
const static double wz_tau1p[] = {0.0,0.0311,0.148,0.229,0.217,0.292,0.245,0.307,0.227,0.277};
//double ewz_tau1p[] = {0.0,0.00211,0.0117,0.0179,0.0134,0.0248,0.0264,0.0322,0.0331,0.0427};
int ibin = 0;
if(pt > 10 && pt < 15) ibin = 0;
if(pt > 15 && pt < 20) ibin = 1;
if(pt > 20 && pt < 25) ibin = 2;
if(pt > 25 && pt < 30) ibin = 3;
if(pt > 30 && pt < 40) ibin = 4;
if(pt > 40 && pt < 50) ibin = 5;
if(pt > 50 && pt < 60) ibin = 6;
if(pt > 60 && pt < 80) ibin = 7;
if(pt > 80 && pt < 100) ibin = 8;
if(pt > 100) ibin = 9;
double eff_pt = 0.;
eff_pt = wz_tau1p[ibin];
const static double wz_tau1p_eta[] = {0.166,0.15,0.188,0.175,0.142,0.109};
//double ewz_tau1p_eta[] ={0.0166,0.00853,0.0097,0.00985,0.00949,0.00842};
ibin = 0;
if(eta > 0.0 && eta < 0.1) ibin = 0;
if(eta > 0.1 && eta < 0.5) ibin = 1;
if(eta > 0.5 && eta < 1.0) ibin = 2;
if(eta > 1.0 && eta < 1.5) ibin = 3;
if(eta > 1.5 && eta < 2.0) ibin = 4;
if(eta > 2.0 && eta < 2.5) ibin = 5;
double eff_eta = 0.;
eff_eta = wz_tau1p_eta[ibin];
eff = (eff_pt * eff_eta) / avgrate;
}
return eff;
}
/// Function giving observed and expected upper limits (on the visible cross-section)
double getUpperLimit(const string& signal_region, bool observed) {
map<string,double> upperLimitsObserved;
map<string,double> upperLimitsExpected;
upperLimitsObserved["HTlep_3l_offZ_OSSF_cut_0"] = 2.435;
upperLimitsObserved["HTlep_3l_offZ_OSSF_cut_200"] = 0.704;
upperLimitsObserved["HTlep_3l_offZ_OSSF_cut_500"] = 0.182;
upperLimitsObserved["HTlep_3l_offZ_OSSF_cut_800"] = 0.147;
upperLimitsObserved["HTlep_2ltau_offZ_OSSF_cut_0"] = 13.901;
upperLimitsObserved["HTlep_2ltau_offZ_OSSF_cut_200"] = 1.677;
upperLimitsObserved["HTlep_2ltau_offZ_OSSF_cut_500"] = 0.141;
upperLimitsObserved["HTlep_2ltau_offZ_OSSF_cut_800"] = 0.155;
upperLimitsObserved["HTlep_3l_offZ_noOSSF_cut_0"] = 1.054;
upperLimitsObserved["HTlep_3l_offZ_noOSSF_cut_200"] = 0.341;
upperLimitsObserved["HTlep_3l_offZ_noOSSF_cut_500"] = 0.221;
upperLimitsObserved["HTlep_3l_offZ_noOSSF_cut_800"] = 0.140;
upperLimitsObserved["HTlep_2ltau_offZ_noOSSF_cut_0"] = 4.276;
upperLimitsObserved["HTlep_2ltau_offZ_noOSSF_cut_200"] = 0.413;
upperLimitsObserved["HTlep_2ltau_offZ_noOSSF_cut_500"] = 0.138;
upperLimitsObserved["HTlep_2ltau_offZ_noOSSF_cut_800"] = 0.150;
upperLimitsObserved["HTlep_3l_onZ_cut_0"] = 29.804;
upperLimitsObserved["HTlep_3l_onZ_cut_200"] = 3.579;
upperLimitsObserved["HTlep_3l_onZ_cut_500"] = 0.466;
upperLimitsObserved["HTlep_3l_onZ_cut_800"] = 0.298;
upperLimitsObserved["HTlep_2ltau_onZ_cut_0"] = 205.091;
upperLimitsObserved["HTlep_2ltau_onZ_cut_200"] = 3.141;
upperLimitsObserved["HTlep_2ltau_onZ_cut_500"] = 0.290;
upperLimitsObserved["HTlep_2ltau_onZ_cut_800"] = 0.157;
upperLimitsObserved["METStrong_3l_offZ_OSSF_cut_0"] = 1.111;
upperLimitsObserved["METStrong_3l_offZ_OSSF_cut_100"] = 0.354;
upperLimitsObserved["METStrong_3l_offZ_OSSF_cut_200"] = 0.236;
upperLimitsObserved["METStrong_3l_offZ_OSSF_cut_300"] = 0.150;
upperLimitsObserved["METStrong_2ltau_offZ_OSSF_cut_0"] = 1.881;
upperLimitsObserved["METStrong_2ltau_offZ_OSSF_cut_100"] = 0.406;
upperLimitsObserved["METStrong_2ltau_offZ_OSSF_cut_200"] = 0.194;
upperLimitsObserved["METStrong_2ltau_offZ_OSSF_cut_300"] = 0.134;
upperLimitsObserved["METStrong_3l_offZ_noOSSF_cut_0"] = 0.770;
upperLimitsObserved["METStrong_3l_offZ_noOSSF_cut_100"] = 0.295;
upperLimitsObserved["METStrong_3l_offZ_noOSSF_cut_200"] = 0.149;
upperLimitsObserved["METStrong_3l_offZ_noOSSF_cut_300"] = 0.140;
upperLimitsObserved["METStrong_2ltau_offZ_noOSSF_cut_0"] = 2.003;
upperLimitsObserved["METStrong_2ltau_offZ_noOSSF_cut_100"] = 0.806;
upperLimitsObserved["METStrong_2ltau_offZ_noOSSF_cut_200"] = 0.227;
upperLimitsObserved["METStrong_2ltau_offZ_noOSSF_cut_300"] = 0.138;
upperLimitsObserved["METStrong_3l_onZ_cut_0"] = 6.383;
upperLimitsObserved["METStrong_3l_onZ_cut_100"] = 0.959;
upperLimitsObserved["METStrong_3l_onZ_cut_200"] = 0.549;
upperLimitsObserved["METStrong_3l_onZ_cut_300"] = 0.182;
upperLimitsObserved["METStrong_2ltau_onZ_cut_0"] = 10.658;
upperLimitsObserved["METStrong_2ltau_onZ_cut_100"] = 0.637;
upperLimitsObserved["METStrong_2ltau_onZ_cut_200"] = 0.291;
upperLimitsObserved["METStrong_2ltau_onZ_cut_300"] = 0.227;
upperLimitsObserved["METWeak_3l_offZ_OSSF_cut_0"] = 1.802;
upperLimitsObserved["METWeak_3l_offZ_OSSF_cut_100"] = 0.344;
upperLimitsObserved["METWeak_3l_offZ_OSSF_cut_200"] = 0.189;
upperLimitsObserved["METWeak_3l_offZ_OSSF_cut_300"] = 0.148;
upperLimitsObserved["METWeak_2ltau_offZ_OSSF_cut_0"] = 12.321;
upperLimitsObserved["METWeak_2ltau_offZ_OSSF_cut_100"] = 0.430;
upperLimitsObserved["METWeak_2ltau_offZ_OSSF_cut_200"] = 0.137;
upperLimitsObserved["METWeak_2ltau_offZ_OSSF_cut_300"] = 0.134;
upperLimitsObserved["METWeak_3l_offZ_noOSSF_cut_0"] = 0.562;
upperLimitsObserved["METWeak_3l_offZ_noOSSF_cut_100"] = 0.153;
upperLimitsObserved["METWeak_3l_offZ_noOSSF_cut_200"] = 0.154;
upperLimitsObserved["METWeak_3l_offZ_noOSSF_cut_300"] = 0.141;
upperLimitsObserved["METWeak_2ltau_offZ_noOSSF_cut_0"] = 2.475;
upperLimitsObserved["METWeak_2ltau_offZ_noOSSF_cut_100"] = 0.244;
upperLimitsObserved["METWeak_2ltau_offZ_noOSSF_cut_200"] = 0.141;
upperLimitsObserved["METWeak_2ltau_offZ_noOSSF_cut_300"] = 0.142;
upperLimitsObserved["METWeak_3l_onZ_cut_0"] = 24.769;
upperLimitsObserved["METWeak_3l_onZ_cut_100"] = 0.690;
upperLimitsObserved["METWeak_3l_onZ_cut_200"] = 0.198;
upperLimitsObserved["METWeak_3l_onZ_cut_300"] = 0.138;
upperLimitsObserved["METWeak_2ltau_onZ_cut_0"] = 194.360;
upperLimitsObserved["METWeak_2ltau_onZ_cut_100"] = 0.287;
upperLimitsObserved["METWeak_2ltau_onZ_cut_200"] = 0.144;
upperLimitsObserved["METWeak_2ltau_onZ_cut_300"] = 0.130;
upperLimitsObserved["Meff_3l_offZ_OSSF_cut_0"] = 2.435;
upperLimitsObserved["Meff_3l_offZ_OSSF_cut_600"] = 0.487;
upperLimitsObserved["Meff_3l_offZ_OSSF_cut_1000"] = 0.156;
upperLimitsObserved["Meff_3l_offZ_OSSF_cut_1500"] = 0.140;
upperLimitsObserved["Meff_2ltau_offZ_OSSF_cut_0"] = 13.901;
upperLimitsObserved["Meff_2ltau_offZ_OSSF_cut_600"] = 0.687;
upperLimitsObserved["Meff_2ltau_offZ_OSSF_cut_1000"] = 0.224;
upperLimitsObserved["Meff_2ltau_offZ_OSSF_cut_1500"] = 0.155;
upperLimitsObserved["Meff_3l_offZ_noOSSF_cut_0"] = 1.054;
upperLimitsObserved["Meff_3l_offZ_noOSSF_cut_600"] = 0.249;
upperLimitsObserved["Meff_3l_offZ_noOSSF_cut_1000"] = 0.194;
upperLimitsObserved["Meff_3l_offZ_noOSSF_cut_1500"] = 0.145;
upperLimitsObserved["Meff_2ltau_offZ_noOSSF_cut_0"] = 4.276;
upperLimitsObserved["Meff_2ltau_offZ_noOSSF_cut_600"] = 0.772;
upperLimitsObserved["Meff_2ltau_offZ_noOSSF_cut_1000"] = 0.218;
upperLimitsObserved["Meff_2ltau_offZ_noOSSF_cut_1500"] = 0.204;
upperLimitsObserved["Meff_3l_onZ_cut_0"] = 29.804;
upperLimitsObserved["Meff_3l_onZ_cut_600"] = 2.933;
upperLimitsObserved["Meff_3l_onZ_cut_1000"] = 0.912;
upperLimitsObserved["Meff_3l_onZ_cut_1500"] = 0.225;
upperLimitsObserved["Meff_2ltau_onZ_cut_0"] = 205.091;
upperLimitsObserved["Meff_2ltau_onZ_cut_600"] = 1.486;
upperLimitsObserved["Meff_2ltau_onZ_cut_1000"] = 0.641;
upperLimitsObserved["Meff_2ltau_onZ_cut_1500"] = 0.204;
upperLimitsObserved["MeffStrong_3l_offZ_OSSF_cut_0"] = 0.479;
upperLimitsObserved["MeffStrong_3l_offZ_OSSF_cut_600"] = 0.353;
upperLimitsObserved["MeffStrong_3l_offZ_OSSF_cut_1200"] = 0.187;
upperLimitsObserved["MeffStrong_2ltau_offZ_OSSF_cut_0"] = 0.617;
upperLimitsObserved["MeffStrong_2ltau_offZ_OSSF_cut_600"] = 0.320;
upperLimitsObserved["MeffStrong_2ltau_offZ_OSSF_cut_1200"] = 0.281;
upperLimitsObserved["MeffStrong_3l_offZ_noOSSF_cut_0"] = 0.408;
upperLimitsObserved["MeffStrong_3l_offZ_noOSSF_cut_600"] = 0.240;
upperLimitsObserved["MeffStrong_3l_offZ_noOSSF_cut_1200"] = 0.150;
upperLimitsObserved["MeffStrong_2ltau_offZ_noOSSF_cut_0"] = 0.774;
upperLimitsObserved["MeffStrong_2ltau_offZ_noOSSF_cut_600"] = 0.417;
upperLimitsObserved["MeffStrong_2ltau_offZ_noOSSF_cut_1200"] = 0.266;
upperLimitsObserved["MeffStrong_3l_onZ_cut_0"] = 1.208;
upperLimitsObserved["MeffStrong_3l_onZ_cut_600"] = 0.837;
upperLimitsObserved["MeffStrong_3l_onZ_cut_1200"] = 0.269;
upperLimitsObserved["MeffStrong_2ltau_onZ_cut_0"] = 0.605;
upperLimitsObserved["MeffStrong_2ltau_onZ_cut_600"] = 0.420;
upperLimitsObserved["MeffStrong_2ltau_onZ_cut_1200"] = 0.141;
upperLimitsObserved["MeffMt_3l_onZ_cut_0"] = 1.832;
upperLimitsObserved["MeffMt_3l_onZ_cut_600"] = 0.862;
upperLimitsObserved["MeffMt_3l_onZ_cut_1200"] = 0.222;
upperLimitsObserved["MeffMt_2ltau_onZ_cut_0"] = 1.309;
upperLimitsObserved["MeffMt_2ltau_onZ_cut_600"] = 0.481;
upperLimitsObserved["MeffMt_2ltau_onZ_cut_1200"] = 0.146;
upperLimitsObserved["MinPt_3l_offZ_OSSF_cut_0"] = 2.435;
upperLimitsObserved["MinPt_3l_offZ_OSSF_cut_50"] = 0.500;
upperLimitsObserved["MinPt_3l_offZ_OSSF_cut_100"] = 0.203;
upperLimitsObserved["MinPt_3l_offZ_OSSF_cut_150"] = 0.128;
upperLimitsObserved["MinPt_2ltau_offZ_OSSF_cut_0"] = 13.901;
upperLimitsObserved["MinPt_2ltau_offZ_OSSF_cut_50"] = 0.859;
upperLimitsObserved["MinPt_2ltau_offZ_OSSF_cut_100"] = 0.158;
upperLimitsObserved["MinPt_2ltau_offZ_OSSF_cut_150"] = 0.155;
upperLimitsObserved["MinPt_3l_offZ_noOSSF_cut_0"] = 1.054;
upperLimitsObserved["MinPt_3l_offZ_noOSSF_cut_50"] = 0.295;
upperLimitsObserved["MinPt_3l_offZ_noOSSF_cut_100"] = 0.148;
upperLimitsObserved["MinPt_3l_offZ_noOSSF_cut_150"] = 0.137;
upperLimitsObserved["MinPt_2ltau_offZ_noOSSF_cut_0"] = 4.276;
upperLimitsObserved["MinPt_2ltau_offZ_noOSSF_cut_50"] = 0.314;
upperLimitsObserved["MinPt_2ltau_offZ_noOSSF_cut_100"] = 0.134;
upperLimitsObserved["MinPt_2ltau_offZ_noOSSF_cut_150"] = 0.140;
upperLimitsObserved["MinPt_3l_onZ_cut_0"] = 29.804;
upperLimitsObserved["MinPt_3l_onZ_cut_50"] = 1.767;
upperLimitsObserved["MinPt_3l_onZ_cut_100"] = 0.690;
upperLimitsObserved["MinPt_3l_onZ_cut_150"] = 0.301;
upperLimitsObserved["MinPt_2ltau_onZ_cut_0"] = 205.091;
upperLimitsObserved["MinPt_2ltau_onZ_cut_50"] = 1.050;
upperLimitsObserved["MinPt_2ltau_onZ_cut_100"] = 0.155;
upperLimitsObserved["MinPt_2ltau_onZ_cut_150"] = 0.146;
upperLimitsObserved["nbtag_3l_offZ_OSSF_cut_0"] = 2.435;
upperLimitsObserved["nbtag_3l_offZ_OSSF_cut_1"] = 0.865;
upperLimitsObserved["nbtag_3l_offZ_OSSF_cut_2"] = 0.474;
upperLimitsObserved["nbtag_2ltau_offZ_OSSF_cut_0"] = 13.901;
upperLimitsObserved["nbtag_2ltau_offZ_OSSF_cut_1"] = 1.566;
upperLimitsObserved["nbtag_2ltau_offZ_OSSF_cut_2"] = 0.426;
upperLimitsObserved["nbtag_3l_offZ_noOSSF_cut_0"] = 1.054;
upperLimitsObserved["nbtag_3l_offZ_noOSSF_cut_1"] = 0.643;
upperLimitsObserved["nbtag_3l_offZ_noOSSF_cut_2"] = 0.321;
upperLimitsObserved["nbtag_2ltau_offZ_noOSSF_cut_0"] = 4.276;
upperLimitsObserved["nbtag_2ltau_offZ_noOSSF_cut_1"] = 2.435;
upperLimitsObserved["nbtag_2ltau_offZ_noOSSF_cut_2"] = 1.073;
upperLimitsObserved["nbtag_3l_onZ_cut_0"] = 29.804;
upperLimitsObserved["nbtag_3l_onZ_cut_1"] = 3.908;
upperLimitsObserved["nbtag_3l_onZ_cut_2"] = 0.704;
upperLimitsObserved["nbtag_2ltau_onZ_cut_0"] = 205.091;
upperLimitsObserved["nbtag_2ltau_onZ_cut_1"] = 9.377;
upperLimitsObserved["nbtag_2ltau_onZ_cut_2"] = 0.657;
upperLimitsExpected["HTlep_3l_offZ_OSSF_cut_0"] = 2.893;
upperLimitsExpected["HTlep_3l_offZ_OSSF_cut_200"] = 1.175;
upperLimitsExpected["HTlep_3l_offZ_OSSF_cut_500"] = 0.265;
upperLimitsExpected["HTlep_3l_offZ_OSSF_cut_800"] = 0.155;
upperLimitsExpected["HTlep_2ltau_offZ_OSSF_cut_0"] = 14.293;
upperLimitsExpected["HTlep_2ltau_offZ_OSSF_cut_200"] = 1.803;
upperLimitsExpected["HTlep_2ltau_offZ_OSSF_cut_500"] = 0.159;
upperLimitsExpected["HTlep_2ltau_offZ_OSSF_cut_800"] = 0.155;
upperLimitsExpected["HTlep_3l_offZ_noOSSF_cut_0"] = 0.836;
upperLimitsExpected["HTlep_3l_offZ_noOSSF_cut_200"] = 0.340;
upperLimitsExpected["HTlep_3l_offZ_noOSSF_cut_500"] = 0.218;
upperLimitsExpected["HTlep_3l_offZ_noOSSF_cut_800"] = 0.140;
upperLimitsExpected["HTlep_2ltau_offZ_noOSSF_cut_0"] = 4.132;
upperLimitsExpected["HTlep_2ltau_offZ_noOSSF_cut_200"] = 0.599;
upperLimitsExpected["HTlep_2ltau_offZ_noOSSF_cut_500"] = 0.146;
upperLimitsExpected["HTlep_2ltau_offZ_noOSSF_cut_800"] = 0.148;
upperLimitsExpected["HTlep_3l_onZ_cut_0"] = 32.181;
upperLimitsExpected["HTlep_3l_onZ_cut_200"] = 4.879;
upperLimitsExpected["HTlep_3l_onZ_cut_500"] = 0.473;
upperLimitsExpected["HTlep_3l_onZ_cut_800"] = 0.266;
upperLimitsExpected["HTlep_2ltau_onZ_cut_0"] = 217.801;
upperLimitsExpected["HTlep_2ltau_onZ_cut_200"] = 3.676;
upperLimitsExpected["HTlep_2ltau_onZ_cut_500"] = 0.235;
upperLimitsExpected["HTlep_2ltau_onZ_cut_800"] = 0.150;
upperLimitsExpected["METStrong_3l_offZ_OSSF_cut_0"] = 1.196;
upperLimitsExpected["METStrong_3l_offZ_OSSF_cut_100"] = 0.423;
upperLimitsExpected["METStrong_3l_offZ_OSSF_cut_200"] = 0.208;
upperLimitsExpected["METStrong_3l_offZ_OSSF_cut_300"] = 0.158;
upperLimitsExpected["METStrong_2ltau_offZ_OSSF_cut_0"] = 2.158;
upperLimitsExpected["METStrong_2ltau_offZ_OSSF_cut_100"] = 0.461;
upperLimitsExpected["METStrong_2ltau_offZ_OSSF_cut_200"] = 0.186;
upperLimitsExpected["METStrong_2ltau_offZ_OSSF_cut_300"] = 0.138;
upperLimitsExpected["METStrong_3l_offZ_noOSSF_cut_0"] = 0.495;
upperLimitsExpected["METStrong_3l_offZ_noOSSF_cut_100"] = 0.284;
upperLimitsExpected["METStrong_3l_offZ_noOSSF_cut_200"] = 0.150;
upperLimitsExpected["METStrong_3l_offZ_noOSSF_cut_300"] = 0.146;
upperLimitsExpected["METStrong_2ltau_offZ_noOSSF_cut_0"] = 1.967;
upperLimitsExpected["METStrong_2ltau_offZ_noOSSF_cut_100"] = 0.732;
upperLimitsExpected["METStrong_2ltau_offZ_noOSSF_cut_200"] = 0.225;
upperLimitsExpected["METStrong_2ltau_offZ_noOSSF_cut_300"] = 0.147;
upperLimitsExpected["METStrong_3l_onZ_cut_0"] = 7.157;
upperLimitsExpected["METStrong_3l_onZ_cut_100"] = 1.342;
upperLimitsExpected["METStrong_3l_onZ_cut_200"] = 0.508;
upperLimitsExpected["METStrong_3l_onZ_cut_300"] = 0.228;
upperLimitsExpected["METStrong_2ltau_onZ_cut_0"] = 12.441;
upperLimitsExpected["METStrong_2ltau_onZ_cut_100"] = 0.534;
upperLimitsExpected["METStrong_2ltau_onZ_cut_200"] = 0.243;
upperLimitsExpected["METStrong_2ltau_onZ_cut_300"] = 0.218;
upperLimitsExpected["METWeak_3l_offZ_OSSF_cut_0"] = 2.199;
upperLimitsExpected["METWeak_3l_offZ_OSSF_cut_100"] = 0.391;
upperLimitsExpected["METWeak_3l_offZ_OSSF_cut_200"] = 0.177;
upperLimitsExpected["METWeak_3l_offZ_OSSF_cut_300"] = 0.144;
upperLimitsExpected["METWeak_2ltau_offZ_OSSF_cut_0"] = 12.431;
upperLimitsExpected["METWeak_2ltau_offZ_OSSF_cut_100"] = 0.358;
upperLimitsExpected["METWeak_2ltau_offZ_OSSF_cut_200"] = 0.150;
upperLimitsExpected["METWeak_2ltau_offZ_OSSF_cut_300"] = 0.135;
upperLimitsExpected["METWeak_3l_offZ_noOSSF_cut_0"] = 0.577;
upperLimitsExpected["METWeak_3l_offZ_noOSSF_cut_100"] = 0.214;
upperLimitsExpected["METWeak_3l_offZ_noOSSF_cut_200"] = 0.155;
upperLimitsExpected["METWeak_3l_offZ_noOSSF_cut_300"] = 0.140;
upperLimitsExpected["METWeak_2ltau_offZ_noOSSF_cut_0"] = 2.474;
upperLimitsExpected["METWeak_2ltau_offZ_noOSSF_cut_100"] = 0.382;
upperLimitsExpected["METWeak_2ltau_offZ_noOSSF_cut_200"] = 0.144;
upperLimitsExpected["METWeak_2ltau_offZ_noOSSF_cut_300"] = 0.146;
upperLimitsExpected["METWeak_3l_onZ_cut_0"] = 26.305;
upperLimitsExpected["METWeak_3l_onZ_cut_100"] = 1.227;
upperLimitsExpected["METWeak_3l_onZ_cut_200"] = 0.311;
upperLimitsExpected["METWeak_3l_onZ_cut_300"] = 0.188;
upperLimitsExpected["METWeak_2ltau_onZ_cut_0"] = 205.198;
upperLimitsExpected["METWeak_2ltau_onZ_cut_100"] = 0.399;
upperLimitsExpected["METWeak_2ltau_onZ_cut_200"] = 0.166;
upperLimitsExpected["METWeak_2ltau_onZ_cut_300"] = 0.140;
upperLimitsExpected["Meff_3l_offZ_OSSF_cut_0"] = 2.893;
upperLimitsExpected["Meff_3l_offZ_OSSF_cut_600"] = 0.649;
upperLimitsExpected["Meff_3l_offZ_OSSF_cut_1000"] = 0.252;
upperLimitsExpected["Meff_3l_offZ_OSSF_cut_1500"] = 0.150;
upperLimitsExpected["Meff_2ltau_offZ_OSSF_cut_0"] = 14.293;
upperLimitsExpected["Meff_2ltau_offZ_OSSF_cut_600"] = 0.657;
upperLimitsExpected["Meff_2ltau_offZ_OSSF_cut_1000"] = 0.226;
upperLimitsExpected["Meff_2ltau_offZ_OSSF_cut_1500"] = 0.154;
upperLimitsExpected["Meff_3l_offZ_noOSSF_cut_0"] = 0.836;
upperLimitsExpected["Meff_3l_offZ_noOSSF_cut_600"] = 0.265;
upperLimitsExpected["Meff_3l_offZ_noOSSF_cut_1000"] = 0.176;
upperLimitsExpected["Meff_3l_offZ_noOSSF_cut_1500"] = 0.146;
upperLimitsExpected["Meff_2ltau_offZ_noOSSF_cut_0"] = 4.132;
upperLimitsExpected["Meff_2ltau_offZ_noOSSF_cut_600"] = 0.678;
upperLimitsExpected["Meff_2ltau_offZ_noOSSF_cut_1000"] = 0.243;
upperLimitsExpected["Meff_2ltau_offZ_noOSSF_cut_1500"] = 0.184;
upperLimitsExpected["Meff_3l_onZ_cut_0"] = 32.181;
upperLimitsExpected["Meff_3l_onZ_cut_600"] = 3.219;
upperLimitsExpected["Meff_3l_onZ_cut_1000"] = 0.905;
upperLimitsExpected["Meff_3l_onZ_cut_1500"] = 0.261;
upperLimitsExpected["Meff_2ltau_onZ_cut_0"] = 217.801;
upperLimitsExpected["Meff_2ltau_onZ_cut_600"] = 1.680;
upperLimitsExpected["Meff_2ltau_onZ_cut_1000"] = 0.375;
upperLimitsExpected["Meff_2ltau_onZ_cut_1500"] = 0.178;
upperLimitsExpected["MeffStrong_3l_offZ_OSSF_cut_0"] = 0.571;
upperLimitsExpected["MeffStrong_3l_offZ_OSSF_cut_600"] = 0.386;
upperLimitsExpected["MeffStrong_3l_offZ_OSSF_cut_1200"] = 0.177;
upperLimitsExpected["MeffStrong_2ltau_offZ_OSSF_cut_0"] = 0.605;
upperLimitsExpected["MeffStrong_2ltau_offZ_OSSF_cut_600"] = 0.335;
upperLimitsExpected["MeffStrong_2ltau_offZ_OSSF_cut_1200"] = 0.249;
upperLimitsExpected["MeffStrong_3l_offZ_noOSSF_cut_0"] = 0.373;
upperLimitsExpected["MeffStrong_3l_offZ_noOSSF_cut_600"] = 0.223;
upperLimitsExpected["MeffStrong_3l_offZ_noOSSF_cut_1200"] = 0.150;
upperLimitsExpected["MeffStrong_2ltau_offZ_noOSSF_cut_0"] = 0.873;
upperLimitsExpected["MeffStrong_2ltau_offZ_noOSSF_cut_600"] = 0.428;
upperLimitsExpected["MeffStrong_2ltau_offZ_noOSSF_cut_1200"] = 0.210;
upperLimitsExpected["MeffStrong_3l_onZ_cut_0"] = 2.034;
upperLimitsExpected["MeffStrong_3l_onZ_cut_600"] = 1.093;
upperLimitsExpected["MeffStrong_3l_onZ_cut_1200"] = 0.293;
upperLimitsExpected["MeffStrong_2ltau_onZ_cut_0"] = 0.690;
upperLimitsExpected["MeffStrong_2ltau_onZ_cut_600"] = 0.392;
upperLimitsExpected["MeffStrong_2ltau_onZ_cut_1200"] = 0.156;
upperLimitsExpected["MeffMt_3l_onZ_cut_0"] = 2.483;
upperLimitsExpected["MeffMt_3l_onZ_cut_600"] = 0.845;
upperLimitsExpected["MeffMt_3l_onZ_cut_1200"] = 0.255;
upperLimitsExpected["MeffMt_2ltau_onZ_cut_0"] = 1.448;
upperLimitsExpected["MeffMt_2ltau_onZ_cut_600"] = 0.391;
upperLimitsExpected["MeffMt_2ltau_onZ_cut_1200"] = 0.146;
upperLimitsExpected["MinPt_3l_offZ_OSSF_cut_0"] = 2.893;
upperLimitsExpected["MinPt_3l_offZ_OSSF_cut_50"] = 0.703;
upperLimitsExpected["MinPt_3l_offZ_OSSF_cut_100"] = 0.207;
upperLimitsExpected["MinPt_3l_offZ_OSSF_cut_150"] = 0.143;
upperLimitsExpected["MinPt_2ltau_offZ_OSSF_cut_0"] = 14.293;
upperLimitsExpected["MinPt_2ltau_offZ_OSSF_cut_50"] = 0.705;
upperLimitsExpected["MinPt_2ltau_offZ_OSSF_cut_100"] = 0.149;
upperLimitsExpected["MinPt_2ltau_offZ_OSSF_cut_150"] = 0.155;
upperLimitsExpected["MinPt_3l_offZ_noOSSF_cut_0"] = 0.836;
upperLimitsExpected["MinPt_3l_offZ_noOSSF_cut_50"] = 0.249;
upperLimitsExpected["MinPt_3l_offZ_noOSSF_cut_100"] = 0.135;
upperLimitsExpected["MinPt_3l_offZ_noOSSF_cut_150"] = 0.136;
upperLimitsExpected["MinPt_2ltau_offZ_noOSSF_cut_0"] = 4.132;
upperLimitsExpected["MinPt_2ltau_offZ_noOSSF_cut_50"] = 0.339;
upperLimitsExpected["MinPt_2ltau_offZ_noOSSF_cut_100"] = 0.149;
upperLimitsExpected["MinPt_2ltau_offZ_noOSSF_cut_150"] = 0.145;
upperLimitsExpected["MinPt_3l_onZ_cut_0"] = 32.181;
upperLimitsExpected["MinPt_3l_onZ_cut_50"] = 2.260;
upperLimitsExpected["MinPt_3l_onZ_cut_100"] = 0.438;
upperLimitsExpected["MinPt_3l_onZ_cut_150"] = 0.305;
upperLimitsExpected["MinPt_2ltau_onZ_cut_0"] = 217.801;
upperLimitsExpected["MinPt_2ltau_onZ_cut_50"] = 1.335;
upperLimitsExpected["MinPt_2ltau_onZ_cut_100"] = 0.162;
upperLimitsExpected["MinPt_2ltau_onZ_cut_150"] = 0.149;
upperLimitsExpected["nbtag_3l_offZ_OSSF_cut_0"] = 2.893;
upperLimitsExpected["nbtag_3l_offZ_OSSF_cut_1"] = 0.923;
upperLimitsExpected["nbtag_3l_offZ_OSSF_cut_2"] = 0.452;
upperLimitsExpected["nbtag_2ltau_offZ_OSSF_cut_0"] = 14.293;
upperLimitsExpected["nbtag_2ltau_offZ_OSSF_cut_1"] = 1.774;
upperLimitsExpected["nbtag_2ltau_offZ_OSSF_cut_2"] = 0.549;
upperLimitsExpected["nbtag_3l_offZ_noOSSF_cut_0"] = 0.836;
upperLimitsExpected["nbtag_3l_offZ_noOSSF_cut_1"] = 0.594;
upperLimitsExpected["nbtag_3l_offZ_noOSSF_cut_2"] = 0.298;
upperLimitsExpected["nbtag_2ltau_offZ_noOSSF_cut_0"] = 4.132;
upperLimitsExpected["nbtag_2ltau_offZ_noOSSF_cut_1"] = 2.358;
upperLimitsExpected["nbtag_2ltau_offZ_noOSSF_cut_2"] = 0.958;
upperLimitsExpected["nbtag_3l_onZ_cut_0"] = 32.181;
upperLimitsExpected["nbtag_3l_onZ_cut_1"] = 3.868;
upperLimitsExpected["nbtag_3l_onZ_cut_2"] = 0.887;
upperLimitsExpected["nbtag_2ltau_onZ_cut_0"] = 217.801;
upperLimitsExpected["nbtag_2ltau_onZ_cut_1"] = 9.397;
upperLimitsExpected["nbtag_2ltau_onZ_cut_2"] = 0.787;
if (observed) return upperLimitsObserved[signal_region];
else return upperLimitsExpected[signal_region];
}
/// Function checking if there is an OSSF lepton pair or a combination of 3 leptons with an invariant mass close to the Z mass
int isonZ (const Particles& particles) {
int onZ = 0;
double best_mass_2 = 999.;
double best_mass_3 = 999.;
// Loop over all 2 particle combinations to find invariant mass of OSSF pair closest to Z mass
for (const Particle& p1 : particles) {
for (const Particle& p2 : particles) {
double mass_difference_2_old = fabs(91.0 - best_mass_2);
double mass_difference_2_new = fabs(91.0 - (p1.momentum() + p2.momentum()).mass()/GeV);
// If particle combination is OSSF pair calculate mass difference to Z mass
if ((p1.pid()*p2.pid() == -121 || p1.pid()*p2.pid() == -169)) {
// Get invariant mass closest to Z mass
if (mass_difference_2_new < mass_difference_2_old)
best_mass_2 = (p1.momentum() + p2.momentum()).mass()/GeV;
// In case there is an OSSF pair take also 3rd lepton into account (e.g. from FSR and photon to electron conversion)
for (const Particle& p3 : particles ) {
double mass_difference_3_old = fabs(91.0 - best_mass_3);
double mass_difference_3_new = fabs(91.0 - (p1.momentum() + p2.momentum() + p3.momentum()).mass()/GeV);
if (mass_difference_3_new < mass_difference_3_old)
best_mass_3 = (p1.momentum() + p2.momentum() + p3.momentum()).mass()/GeV;
}
}
}
}
// Pick the minimum invariant mass of the best OSSF pair combination and the best 3 lepton combination
double best_mass = min(best_mass_2,best_mass_3);
// if this mass is in a 20 GeV window around the Z mass, the event is classified as onZ
if ( fabs(91.0 - best_mass) < 20. ) onZ = 1;
return onZ;
}
/// function checking if two leptons are an OSSF lepton pair and giving out the invariant mass (0 if no OSSF pair)
double isOSSF_mass (const Particle& p1, const Particle& p2) {
double inv_mass = 0.;
// Is particle combination OSSF pair?
if ((p1.pid()*p2.pid() == -121 || p1.pid()*p2.pid() == -169)) {
// Get invariant mass
inv_mass = (p1.momentum() + p2.momentum()).mass()/GeV;
}
return inv_mass;
}
/// Function checking if there is an OSSF lepton pair
bool isOSSF (const Particles& particles) {
for (size_t i1=0 ; i1 < 3 ; i1 ++) {
for (size_t i2 = i1+1 ; i2 < 3 ; i2 ++) {
if ((particles[i1].pid()*particles[i2].pid() == -121 || particles[i1].pid()*particles[i2].pid() == -169)) {
return true;
}
}
}
return false;
}
/// @}
private:
/// Histograms
/// @{
Histo1DPtr _h_HTlep_all, _h_HTjets_all, _h_MET_all, _h_Meff_all, _h_min_pT_all, _h_mT_all;
Histo1DPtr _h_pt_1_3l, _h_pt_2_3l, _h_pt_3_3l, _h_pt_1_2ltau, _h_pt_2_2ltau, _h_pt_3_2ltau;
Histo1DPtr _h_e_n, _h_mu_n, _h_tau_n;
Histo1DPtr _h_excluded;
/// @}
/// Fiducial efficiencies to model the effects of the ATLAS detector
bool _use_fiducial_lepton_efficiency;
/// List of signal regions and event counts per signal region
vector<string> _signal_regions;
map<string, CounterPtr> _eventCountsPerSR;
};
RIVET_DECLARE_PLUGIN(ATLAS_2014_I1327229);
}