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| // -*- 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"
namespace Rivet {
/// Inclusive multilepton search at 8 TeV
class ATLAS_2014_I1327229 : public Analysis {
public:
/// Constructor
ATLAS_2014_I1327229()
: Analysis("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;
// Random numbers for simulation of ATLAS detector reconstruction efficiency
/// @todo Replace with SmearedParticles etc.
srand(160385);
// 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, FastJets::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.hasAncestor(PID::TAU) || mu.hasAncestor(-PID::TAU)) muon_id = 14;
const double eff = (_use_fiducial_lepton_efficiency) ? apply_reco_eff(muon_id,mu) : 1.0;
const bool keep_muon = rand()/static_cast<double>(RAND_MAX)<=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.hasAncestor(15) || e.hasAncestor(-15)) elec_id = 12;
const double eff = (_use_fiducial_lepton_efficiency) ? apply_reco_eff(elec_id,e) : 1.0;
const bool keep_elec = rand()/static_cast<double>(RAND_MAX)<=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 = rand()/static_cast<double>(RAND_MAX)<=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;
for (const Jet& jet : apply<FastJets>(event, "AntiKtJets04").jetsByPt(30.0*GeV) ) {
if (jet.abseta() < 4.9 ) jet_candidates.push_back(jet);
}
// 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 (rand()/static_cast<double>(RAND_MAX) <= 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
sortByPt(recon_leptons);
sortByPt(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]);
}
}
}
sortByPt(mT_leptons);
sortByPt(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);
}
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