NLO cross sections and selection efficiencies (assuming $\beta$ = 1) for different signal points.

Measured three-jet double-differential cross sections as a function of M(3JET) in 6<=|Y*|<8 for anti-kt R=0.4 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in 8<=|Y*|<10 for anti-kt R=0.4 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in |Y*|<2 for anti-kt R=0.6 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in 2<=|Y*|<4 for anti-kt R=0.6 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in 4<=|Y*|<6 for anti-kt R=0.6 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in 6<=|Y*|<8 for anti-kt R=0.6 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured three-jet double-differential cross sections as a function of M(3JET) in 8<=|Y*|<10 for anti-kt R=0.6 jets. The three columns correspond to nominal, stronger or weaker correlations between jet energy scale uncertainty components.

Measured integrated cross sections for the $Z\gamma\gamma$ process for neutrino final state at $\sqrt{s} = 8$ TeV in the extended fiducial regions defined in the paper, table 5. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $E_{\mathrm{T}}^{\gamma}$ for the $pp \rightarrow \ell^{+}\ell^{-}\gamma$ process in the inclusive $N_{\mathrm{jets}} \geq 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $E_{\mathrm{T}}^{\gamma}$ for the $pp \rightarrow \ell^{+}\ell^{-}\gamma$ process in the exclusive $N_{\mathrm{jets}} = 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $E_{\mathrm{T}}^{\gamma}$ for the $pp \rightarrow \nu\bar{\nu}\gamma$ process in the inclusive $N_{\mathrm{jets}} \geq 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $E_{\mathrm{T}}^{\gamma}$ for the $pp \rightarrow \nu\bar{\nu}\gamma$ process in the exclusive $N_{\mathrm{jets}} = 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $m_{\ell^{+}\ell^{-}\gamma}$ for the $pp \rightarrow \ell^{+}\ell^{-}\gamma$ process in the inclusive $N_{\mathrm{jets}} \geq 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The differential cross sections as a function of $m_{\ell^{+}\ell^{-}\gamma}$ for the $pp \rightarrow \ell^{+}\ell^{-}\gamma$ process in the exclusive $N_{\mathrm{jets}} = 0$ extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

The cross sections as a function of $N_{\mathrm{jets}}$ for the $pp \rightarrow \ell^{+}\ell^{-}\gamma$ process in the extended fiducial region. The parton-to-particle correction factors are also shown, which are defined as the ratio of the cross sections at parton-level to the cross sections at particle-level.

Excluded range of lifetimes as a function of gluino R-hadron mass. The central value of the lower-limit of the observed and expected excluded masses at the 95% CL is given.

Cross-section as a function of mass for stable gluino R-hadrons. The central value of the observed and expected 95% upper limit on excluded cross-section is given. The 1 sigma band on the expected UL is given as an uncertainty.

Measured double-differential inclusive-jet cross section for the range 1.5 <= |y| < 2.0 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.0 <= |y| < 2.5 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.5 <= |y| < 3.0 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 0.0 <= |y| < 0.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 0.5 <= |y| < 1.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 1.0 <= |y| < 1.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 1.5 <= |y| < 2.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.0 <= |y| < 2.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.5 <= |y| < 3.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Acceptance times efficiency for the tight channel of the Razor analysis for the direct squark-squark model.

Acceptance for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Efficiency for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Acceptance for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Efficiency for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.

Acceptance for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.

Efficiency for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.

Acceptance for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.

Efficiency for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the direct squark-squark model.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the gluino simplified model, obtained by the Taus+jets+MET analysis.

Observed limit on the cross-section times branching ratio in fb at 95% CL for the squark simplified model, obtained by the Taus+jets+MET analysis.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV with $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.

Observed and expected limits on the cross-section times branching ratio in fb at 95% CL for the gluino-mediated stop model with off-shell stops, for mass points with four- or five-body gluino decays, obtained by the SS/3L and 0/1L3B analyses.

: Cut flow for signal regions 0L_4jt+ and 0L_5jt of baseline signal points normalized to 20.3 fb$^\mathrm{-1}$. The point used for the 0L_4jt+ cutflow is mqL = 1150 GeV, M1 = 60 GeV, M2 = 1000 GeV, m(gluino) = 2200 GeV. The point used for the 0L_5jt cutflow is mqL = 950 GeV, M1 = 100 GeV, M2 = 525 GeV, m(gluino) = 2200 GeV.

Cut flow for the 1L(H)_7-jet SR (electron channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for the 1L(H)_7-jet SR (muon channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{{\tilde \chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.

Cut flow for 0LRaz_SR$_{\rm loose}$ and 0LRaz_SR$_{\rm tight}$ signal regions of baseline signal point ($m(\tilde{q}, \tilde{\chi}_1^0)=(850, 100)$ GeV) normalized to 20.3 fb$^{-1}$. 5000 events were generated for ths point.

Observed 90% C.L. lower limits on the mass scale, M*, of considered effective field theories as a function of mChi. For each operator, the values below the corresponding line are excluded.

Expected 95% C.L. upper limits on the cross section times branching fraction as a function of mChi. For each operator, the values above the corresponding line are excluded.

Observed 95% C.L. upper limits on the cross section times branching fraction as a function of mChi. For each operator, the values above the corresponding line are excluded.

The $\delta m=m_{3\ell}-m_{ell^+\ell^-}$ distributions for the $3\ell+jj$ category and $Z+\mu$ flavor channel.

The $\delta m=m_{3\ell}-m_{ell^+\ell^-}$ distributions for the $3\ell$-only category and $Z+e$ flavor channel.

The $\delta m=m_{3\ell}-m_{ell^+\ell^-}$ distributions for the $3\ell$-only category and $Z+\mu$ flavor channel.

95\% CL upper limits on the vector-like lepton cross section, for heavy vector-like leptons coupling exclusively to electrons.

95\% CL upper limits on the vector-like lepton cross section, for heavy vector-like leptons coupling exclusively to muons.

95% CL upper limits on the type-III seesaw production cross section, for the seesaw leptons coupling exclusively to electrons.

95% CL upper limits on the type-III seesaw production cross section, for the seesaw leptons coupling exclusively to muons.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+e$ flavour channel, derived without dividing events into the three categories.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+\mu$ flavour channel, derived without dividing events into the three categories.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+e$ flavour channel, for events in the four lepton signal region.:.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+\mu$ flavour channel, for events in the four lepton signal region.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+e$ flavour channel, for events in the two-jet signal region.

95% CL upper limits on $\sigma_{\mathrm{vis}}$ for the $Z+\mu$ flavour channel, for events in the two-jet signal region.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)e^{\pm}$ decay in the inclusive category and $Z+e$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+e$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)\mu^{\pm}$ decay in the inclusive category and $Z+\mu$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+\mu$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)e^{\pm}$ decay in the $4\ell$ category and $Z+e$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+e$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)\mu^{\pm}$ decay in the $4\ell$ category and $Z+\mu$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+\mu$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)e^{\pm}$ decay in the $3\ell+jj$ category and $Z+e$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+e$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)\mu^{\pm}$ decay in the $3\ell+jj$ category and $Z+\mu$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+\mu$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)e^{\pm}$ decay in the $3\ell$-only category and $Z+e$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+e$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.

Efficiencies for reconstructing and correctly identifying the $L^{\pm}\rightarrow Z(\ell\ell)\mu^{\pm}$ decay in the $3\ell$-only category and $Z+\mu$ flavor channel, for events within the fiducial volume for the type-III seesaw model. One heavy lepton is required to decay to $Z+\mu$, with the $Z$ boson decaying leptonically. The efficiencies are shown separately for each decay mode of the second heavy lepton.