The measured normalized differential cross section as a function of the photon $|\eta|$ in the single lepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of the $\Delta R$ between the photon and the lepton in the single lepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of the photon pT in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of the photon $|\eta|$ in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of minimum $\Delta R) between the photon and the leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of $|\Delta\eta|$ between the two leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The measured normalized differential cross section as a function of $\Delta\phi$ between the two leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.

The total correlation matrix of the measured normalized differential cross section as a function of the photon pT in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the photon $|\eta|$ in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the $\Delta R$ between the photon and the lepton in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the photon pT in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the photon $|\eta|$ in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the minimum $\Delta R$ between the photon and the leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the $|\Delta\eta|$ between the two leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The total correlation matrix of the measured normalized differential cross section as a function of the $\Delta\phi$ between the two leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.

The statistical correlation matrix of all the measured normalized differential cross sections in the single lepton channel.

The statistical correlation matrix of all the measured normalized differential cross sections in the dilepton channel.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 5-10% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 10-20% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 20-40% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 40-60% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 60-80% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 80-100% centrality class and CL1 estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 0-5% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 5-10% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 10-20% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 20-40% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 40-60% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 60-80% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 80-100% centrality class and V0A estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 0-5% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 5-10% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 10-20% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 20-40% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 40-60% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 60-80% centrality class and ZNA estimator.

Pseudorapidity density of charged particles in p–Pb NSD collisions at 8.16 TeV for 80-100% centrality class and ZNA estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions as a function of the number of participants for CL1 estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions as a function of the number of participants for V0A estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions as a function of the number of participants for ZNAmult estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions as a function of the number of participants for ZNAPb estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions for 5 participant quarks as a function of the number of participants for CL1 estimator.

Average pseudorapidity density of charged particles in p–Pb NSD collisions for 5 participant quarks as a function of the number of participants for V0A estimator.

The J/$\psi$ $v_3$ coefficient as a function of $p_{\rm T}$ in 0-10% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_3$ coefficient as a function of $p_{\rm T}$ in 10-30% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_3$ coefficient as a function of $p_{\rm T}$ in 30-50% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_3$ coefficient as a function of $p_{\rm T}$ in 0-50% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_3/v_2$ ratio as a function of $p_{\rm T}$ in 5-40% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_3/v_2$ ratio as a function of $p_{\rm T}$ in 10-50% centrality interval in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_2$ as a function of $p_{\rm T}$ for unbiased events (no event-shape selection) in the 5-40% centrality interval in Pb--Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV.

The J/$\psi$ $v_2$ as a function of $p_{\rm T}$ for lowest $q_2^{\rm V0A}$ event-shape class in the 5-40% centrality interval in Pb--Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV. The systematic uncertainties are the same as the ones given in Table 10 for the unbiased event sample.

The J/$\psi$ $v_2$ as a function of $p_{\rm T}$ for highest $q_2^{\rm V0A}$ event-shape class in the 5-40% centrality interval in Pb--Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV. The systematic uncertainties are the same as the ones given in Table 10 for the unbiased event sample.

Relative differential cross section as a function of the b-jet multiplicity in emu channel

Relative differential cross section as a function of H_T in emu channel

Relative differential cross section as a function of H_T in emu channel

Relative differential cross section as a function of H_Thad in emu channel

Relative differential cross section as a function of H_Thad in emu channel

Relative differential cross section as a function of H_T in leptons+jets channel

Relative differential cross section as a function of H_T in leptons+jets channel

Relative differential cross section as a function of H_Thad in leptons+jets channel

Relative differential cross section as a function of H_Thad in leptons+jets channel

Relative differential cross section as a function of pT of leading b-jet in emu channel

Relative differential cross section as a function of pT of leading b-jet in emu channel

Relative differential cross section as a function of pT of sub-leading b-jet in emu channel

Relative differential cross section as a function of pT of sub-leading b-jet in emu channel

Relative differential cross section as a function of pT of third-leading b-jet in emu channel

Relative differential cross section as a function of pT of third-leading b-jet in emu channel

Relative differential cross section as a function of pT of leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of sub-leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of sub-leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of third-leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of third-leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of fourth-leading b-jet in lepton+jets channel

Relative differential cross section as a function of pT of fourth-leading b-jet in lepton+jets channel

Relative differential cross section as a function of invarant mass of two highest pT b-jets in emu channel

Relative differential cross section as a function of invarant mass of two highest pT b-jets in emu channel

Relative differential cross section as a function of pT of two highest pT b-jets in emu channel

Relative differential cross section as a function of pT of two highest pT b-jets in emu channel

Relative differential cross section as a function of deltaR of two highest pT b-jets in emu channel

Relative differential cross section as a function of deltaR of two highest pT b-jets in emu channel

Relative differential cross section as a function of invariant mass of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of invariant mass of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of pT of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of pT of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of deltaR of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of deltaR of two highest pT b-jets in lepton+jets channel

Relative differential cross section as a function of invariant mass of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of invariant mass of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of pT of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of pT of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of deltaR of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of deltaR of two closest b-jets in deltaR in emu channel

Relative differential cross section as a function of invariant mass of two closest b-jets in deltaR in lepton+jets channel

Relative differential cross section as a function of invariant mass of two closest b-jets in deltaR in lepton+jets channel

Relative differential cross section as a function of pT of two closest b-jets in deltaR in lepton+jets channel

Relative differential cross section as a function of pT of two closest b-jets in deltaR in lepton+jets channel

Relative differential cross section as a function of deltaR of two closest b-jets in deltaR in lepton+jets channel

Relative differential cross section as a function of deltaR of two closest b-jets in deltaR in lepton+jets channel

The differential measurement of W + D*(2010) as a function of the absolute peudorapidity of the muon originating from the W boson.

The differential measurement of W+ + D*(2010)- as a function of the absolute peudorapidity of the muon originating from the W boson.

The differential measurement of W- + D*(2010)+ as a function of the absolute peudorapidity of the muon originating from the W boson.

trigger particle momentum dependence of observables RMS for wide component in p-p collisions at 7 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables RMS for wide component in p-p collisions at 7 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables RMS for wide component in p-p collisions at 7 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables RMS for narrow component in p-Pb collisions at 5.02 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables RMS for narrow component in p-Pb collisions at 5.02 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables RMS for narrow component in p-Pb collisions at 5.02 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables RMS for wide component in p-Pb collisions at 5.02 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables RMS for wide component in p-Pb collisions at 5.02 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables RMS for wide component in p-Pb collisions at 5.02 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-p collisions at 7 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-p collisions at 7 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-p collisions at 7 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-p collisions at 7 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-p collisions at 7 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-p collisions at 7 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-Pb collisions at 5.02 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-Pb collisions at 5.02 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables per-trigger yield for narrow component in p-Pb collisions at 5.02 TeV with 0.6<xlong<1.0.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-Pb collisions at 5.02 TeV with 0.2<xlong<0.4.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-Pb collisions at 5.02 TeV with 0.4<xlong<0.6.

trigger particle momentum dependence of observables per-trigger yield for wide component in p-Pb collisions at 5.02 TeV with 0.6<xlong<1.0.

Expected and observed exclusion limits (95% CL, in the asymptotic approximation) on the product of the production cross section and branching fraction into two photons for an additional SM-like Higgs boson, for the VBF plus VH processes, from the analysis of the 8 TeV data. The inner and outer bands indicate the regions containing the distribution of limits located within $pm 1 and 2 $sigma, respectively, of the expectation under the background-only hypothesis.

Expected and observed exclusion limits (95% CL, in the asymptotic approximation) on the product of the production cross section and branching fraction into two photons for an additional SM-like Higgs boson, for the ggH plus ttH processes, from the analysis of the 13 TeV data. The inner and outer bands indicate the regions containing the distribution of limits located within $pm 1 and 2 $sigma, respectively, of the expectation under the background-only hypothesis.

Expected and observed exclusion limits (95% CL, in the asymptotic approximation) on the product of the production cross section and branching fraction into two photons for an additional SM-like Higgs boson, for the VBF plus VH processes, from the analysis of the 13 (bottom) TeV data. The inner and outer bands indicate the regions containing the distribution of limits located within $pm 1 and 2 $sigma, respectively, of the expectation under the background-only hypothesis.

Expected and observed exclusion limits (95% CL, in the asymptotic approximation) on the product of the production cross section and branching fraction into two photons for an additional Higgs boson, relative to the expected SM-like value, from the analysis of the 8 and 13 TeV data. The inner and outer bands indicate the regions containing the distribution of limits located within $pm 1 and 2 $sigma , respectively, of the expectation under the background-only hypothesis.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=250$ GeV for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 1MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=100$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=400$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{t}$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{t}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{t}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{t}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{t}$.

Measured absolute differential cross section at parton level as a function of $p_{T}^{\bar{t}}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $p_{T}^{\bar{t}}$.

Measured normalised differential cross section at parton level as a function of $p_{T}^{\bar{t}}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{\bar{t}}$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{\bar{t}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{\bar{t}}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{\bar{t}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{\bar{t}}$.

Measured absolute differential cross section at parton level as a function of $p_{T}^{t}$ (leading).

Covariance matrix of the absolute differential cross section at parton level as a function of $p_{T}^{t}$ (leading).

Measured normalised differential cross section at parton level as a function of $p_{T}^{t}$ (leading).

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{t}$ (leading).

Measured absolute differential cross section at particle level as a function of $p_{T}^{t}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{t}$ (leading).

Measured normalised differential cross section at particle level as a function of $p_{T}^{t}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{t}$ (leading).

Measured absolute differential cross section at parton level as a function of $p_{T}^{t}$ (trailing).

Covariance matrix of the absolute differential cross section at parton level as a function of $p_{T}^{t}$ (trailing).

Measured normalised differential cross section at parton level as a function of $p_{T}^{t}$ (trailing).

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{t}$ (trailing).

Measured absolute differential cross section at particle level as a function of $p_{T}^{t}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{t}$ (trailing).

Measured normalised differential cross section at particle level as a function of $p_{T}^{t}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{t}$ (trailing).

Measured absolute differential cross section at parton level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Covariance matrix of the absolute differential cross section at parton level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Measured normalised differential cross section at parton level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Measured absolute differential cross section at particle level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Measured normalised differential cross section at particle level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{t}$($t\bar{t}$ RF).

Measured absolute differential cross section at parton level as a function of $y_{t}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $y_{t}$.

Measured normalised differential cross section at parton level as a function of $y_{t}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $y_{t}$.

Measured absolute differential cross section at particle level as a function of $y_{t}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $y_{t}$.

Measured normalised differential cross section at particle level as a function of $y_{t}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $y_{t}$.

Measured absolute differential cross section at parton level as a function of $y_{\bar{t}}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $y_{\bar{t}}$.

Measured normalised differential cross section at parton level as a function of $y_{\bar{t}}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $y_{\bar{t}}$.

Measured absolute differential cross section at particle level as a function of $y_{\bar{t}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $y_{\bar{t}}$.

Measured normalised differential cross section at particle level as a function of $y_{\bar{t}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $y_{\bar{t}}$.

Measured absolute differential cross section at parton level as a function of $y_{t}$ (leading).

Covariance matrix of the absolute differential cross section at parton level as a function of $y_{t}$ (leading).

Measured normalised differential cross section at parton level as a function of $y_{t}$ (leading).

Covariance matrix of the normalised differential cross section at parton level as a function of $y_{t}$ (leading).

Measured absolute differential cross section at particle level as a function of $y_{t}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $y_{t}$ (leading).

Measured normalised differential cross section at particle level as a function of $y_{t}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $y_{t}$ (leading).

Measured absolute differential cross section at parton level as a function of $y_{t}$ (trailing).

Covariance matrix of the absolute differential cross section at parton level as a function of $y_{t}$ (trailing).

Measured normalised differential cross section at parton level as a function of $y_{t}$ (trailing).

Covariance matrix of the normalised differential cross section at parton level as a function of $y_{t}$ (trailing).

Measured absolute differential cross section at particle level as a function of $y_{t}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $y_{t}$ (trailing).

Measured normalised differential cross section at particle level as a function of $y_{t}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $y_{t}$ (trailing).

Measured absolute differential cross section at parton level as a function of $p_{T}^{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $p_{T}^{t\bar{t}}$.

Measured normalised differential cross section at parton level as a function of $p_{T}^{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $p_{T}^{t\bar{t}}$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{t\bar{t}}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{t\bar{t}}$.

Measured absolute differential cross section at parton level as a function of $y_{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $y_{t\bar{t}}$.

Measured normalised differential cross section at parton level as a function of $y_{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $y_{t\bar{t}}$.

Measured absolute differential cross section at particle level as a function of $y_{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $y_{t\bar{t}}$.

Measured normalised differential cross section at particle level as a function of $y_{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $y_{t\bar{t}}$.

Measured absolute differential cross section at parton level as a function of $m_{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at parton level as a function of $m_{t\bar{t}}$.

Measured normalised differential cross section at parton level as a function of $m_{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at parton level as a function of $m_{t\bar{t}}$.

Measured absolute differential cross section at particle level as a function of $m_{t\bar{t}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $m_{t\bar{t}}$.

Measured normalised differential cross section at particle level as a function of $m_{t\bar{t}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $m_{t\bar{t}}$.

Measured absolute differential cross section at parton level as a function of $\Delta|y|(t,\bar{t})$.

Covariance matrix of the absolute differential cross section at parton level as a function of $\Delta|y|(t,\bar{t})$.

Measured normalised differential cross section at parton level as a function of $\Delta|y|(t,\bar{t})$.

Covariance matrix of the normalised differential cross section at parton level as a function of $\Delta|y|(t,\bar{t})$.

Measured absolute differential cross section at particle level as a function of $\Delta|y|(t,\bar{t})$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\Delta|y|(t,\bar{t})$.

Measured normalised differential cross section at particle level as a function of $\Delta|y|(t,\bar{t})$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\Delta|y|(t,\bar{t})$.

Measured absolute differential cross section at parton level as a function of $\Delta\phi(t,\bar{t})$.

Covariance matrix of the absolute differential cross section at parton level as a function of $\Delta\phi(t,\bar{t})$.

Measured normalised differential cross section at parton level as a function of $\Delta\phi(t,\bar{t})$.

Covariance matrix of the normalised differential cross section at parton level as a function of $\Delta\phi(t,\bar{t})$.

Measured absolute differential cross section at particle level as a function of $\Delta\phi(t,\bar{t})$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\Delta\phi(t,\bar{t})$.

Measured normalised differential cross section at particle level as a function of $\Delta\phi(t,\bar{t})$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\Delta\phi(t,\bar{t})$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{l}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{l}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{l}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{l}$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{\bar{l}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{\bar{l}}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{\bar{l}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{\bar{l}}$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{l}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{l}$ (leading).

Measured normalised differential cross section at particle level as a function of $p_{T}^{l}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{l}$ (leading).

Measured absolute differential cross section at particle level as a function of $p_{T}^{l}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{l}$ (trailing).

Measured normalised differential cross section at particle level as a function of $p_{T}^{l}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{l}$ (trailing).

Measured absolute differential cross section at particle level as a function of $\eta_{l}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{l}$.

Measured normalised differential cross section at particle level as a function of $\eta_{l}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{l}$.

Measured absolute differential cross section at particle level as a function of $\eta_{\bar{l}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{\bar{l}}$.

Measured normalised differential cross section at particle level as a function of $\eta_{\bar{l}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{\bar{l}}$.

Measured absolute differential cross section at particle level as a function of $\eta_{l}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{l}$ (leading).

Measured normalised differential cross section at particle level as a function of $\eta_{l}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{l}$ (leading).

Measured absolute differential cross section at particle level as a function of $\eta_{l}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{l}$ (trailing).

Measured normalised differential cross section at particle level as a function of $\eta_{l}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{l}$ (trailing).

Measured absolute differential cross section at particle level as a function of $p_{T}^{l\bar{l}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{l\bar{l}}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{l\bar{l}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{l\bar{l}}$.

Measured absolute differential cross section at particle level as a function of $m_{l\bar{l}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $m_{l\bar{l}}$.

Measured normalised differential cross section at particle level as a function of $m_{l\bar{l}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $m_{l\bar{l}}$.

Measured absolute differential cross section at particle level as a function of $\Delta\phi(l,\bar{l})$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\Delta\phi(l,\bar{l})$.

Measured normalised differential cross section at particle level as a function of $\Delta\phi(l,\bar{l})$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\Delta\phi(l,\bar{l})$.

Measured absolute differential cross section at particle level as a function of $\Delta|\eta|(l,\bar{l})$.

Covariance matrix of the absolute differential cross section at particle level as a function of $\Delta|\eta|(l,\bar{l})$.

Measured normalised differential cross section at particle level as a function of $\Delta|\eta|(l,\bar{l})$.

Covariance matrix of the normalised differential cross section at particle level as a function of $\Delta|\eta|(l,\bar{l})$.

Measured absolute differential cross section at particle level as a function of $p_{T}^{b}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{b}$ (leading).

Measured normalised differential cross section at particle level as a function of $p_{T}^{b}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{b}$ (leading).

Measured absolute differential cross section at particle level as a function of $p_{T}^{b}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{b}$ (trailing).

Measured normalised differential cross section at particle level as a function of $p_{T}^{b}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{b}$ (trailing).

Measured absolute differential cross section at particle level as a function of $\eta_{b}$ (leading).

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{b}$ (leading).

Measured normalised differential cross section at particle level as a function of $\eta_{b}$ (leading).

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{b}$ (leading).

Measured absolute differential cross section at particle level as a function of $\eta_{b}$ (trailing).

Covariance matrix of the absolute differential cross section at particle level as a function of $\eta_{b}$ (trailing).

Measured normalised differential cross section at particle level as a function of $\eta_{b}$ (trailing).

Covariance matrix of the normalised differential cross section at particle level as a function of $\eta_{b}$ (trailing).

Measured absolute differential cross section at particle level as a function of $p_{T}^{b\bar{b}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $p_{T}^{b\bar{b}}$.

Measured normalised differential cross section at particle level as a function of $p_{T}^{b\bar{b}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $p_{T}^{b\bar{b}}$.

Measured absolute differential cross section at particle level as a function of $m_{b\bar{b}}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $m_{b\bar{b}}$.

Measured normalised differential cross section at particle level as a function of $m_{b\bar{b}}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $m_{b\bar{b}}$.

Measured absolute differential cross section at particle level as a function of $N_{jets}$.

Covariance matrix of the absolute differential cross section at particle level as a function of $N_{jets}$.

Measured normalised differential cross section at particle level as a function of $N_{jets}$.

Covariance matrix of the normalised differential cross section at particle level as a function of $N_{jets}$.