Probability of finding at least one TAR jet, where the p_T-leading TAR jet passes the m_Wcand and D₂^β=1 requirements, as a function of m_s. The probability is determined in a sample of signal events with m_Z'=2100 GeV, with the preselections applied.

Probability of finding a W_had candidate reconstructed as a pair of R=0.4 PFlow jets, as a function of m_s. The probability is determined in a sample of signal events with m_Z'=500 GeV, with the preselections applied that do not pass the requirements of the merged category.

Probability of finding a W_had candidate reconstructed as a pair of R=0.4 PFlow jets, as a function of m_s. The probability is determined in a sample of signal events with m_Z'=1000 GeV, with the preselections applied that do not pass the requirements of the merged category.

Probability of finding a W_had candidate reconstructed as a pair of R=0.4 PFlow jets, as a function of m_s. The probability is determined in a sample of signal events with m_Z'=1700 GeV, with the preselections applied that do not pass the requirements of the merged category.

Probability of finding a W_had candidate reconstructed as a pair of R=0.4 PFlow jets, as a function of m_s. The probability is determined in a sample of signal events with m_Z'=2100 GeV, with the preselections applied that do not pass the requirements of the merged category.

Observed exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Expected exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Expected+1σ exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Expected-1σ exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Expected+2σ exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Expected-2σ exclusion contour at 95% C.L. for the dark Higgs model in the (m_Z', m_s) plane for g_q=0.25, g_χ=1, m_χ=200 GeV, and sinθ=0.01.

Observed upper limits at 95% C.L. on σ(pp → s χχ) × B(s → W^± W^∓) for m_Z'=0.5 TeV as a function of m_s. The expected limits, varied up and down by one and two standard deviations, are shown as green and yellow bands, respectively. The observed and expected limits are compared to the theoretical LO cross section for the σ(pp → s χχ) × B(s → W^± W^∓) process for m_Z'=0.5 TeV, shown in dashed blue.

Observed upper limits at 95% C.L. on σ(pp → s χχ) × B(s → W^± W^∓) for m_Z'=1 TeV as a function of m_s. The expected limits, varied up and down by one and two standard deviations, are shown as green and yellow bands, respectively. The observed and expected limits are compared to the theoretical LO cross section for the σ(pp → s χχ) × B(s → W^± W^∓) process for m_Z'=1 TeV, shown in dashed blue.

Observed upper limits at 95% C.L. on σ(pp → s χχ) × B(s → W^± W^∓) for m_Z'=1.7 TeV as a function of m_s. The expected limits, varied up and down by one and two standard deviations, are shown as green and yellow bands, respectively. The observed and expected limits are compared to the theoretical LO cross section for the σ(pp → s χχ) × B(s → W^± W^∓) process for m_Z'=1.7 TeV, shown in dashed blue.

Observed upper limits at 95% C.L. on σ(pp → s χχ) × B(s → W^± W^∓) for m_Z'=2.1 TeV as a function of m_s. The expected limits, varied up and down by one and two standard deviations, are shown as green and yellow bands, respectively. The observed and expected limits are compared to the theoretical LO cross section for the σ(pp → s χχ) × B(s → W^± W^∓) process for m_Z'=2.1 TeV, shown in dashed blue.

Data overlaid on SM background yields stacked in each SR and CR category after the fit to data ('Post-fit'). The yields in the SR are broken down into their contributions to the individual bins. The maximum-likelihood estimators are set to the conditional values of the CR-only fit, and propagated to SR and CRs.

Dominant sources of uncertainty for three dark Higgs scenarios after the fit to data. The uncertainties are quantified in terms of their contribution to the fitted signal uncertainty that is expressed relative to the theory prediction. Three representative dark Higgs signal scenarios with g_q=0.25, g_χ=1.0, sinθ=0.01 and m_χ=200 GeV are considered, which are indicated using the (m_Z', m_s) format in units of GeV in the table columns.

Cumulative efficiencies in the merged category for three representative dark Higgs signal scenarios with g_q=0.25, g_χ=1.0, sinθ=0.01, m_Z' = 1 TeV, and m_χ=200 GeV considering s→W(ℓν)W(qq) decays only.

Cumulative efficiencies in the resolved category for three representative dark Higgs signal scenarios with g_q=0.25, g_χ=1.0, sinθ=0.01, m_Z' = 1 TeV, and m_χ=200 GeV considering s→W(ℓν)W(qq) decays only.

Theoretical cross section for &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) for each of the dark Higgs signal points at m_Z′ ={300, 350, 400, 500, 750} GeV, with g_q = 0.25, g<sub>&chi; = 1.0, sin&theta; = 0.01, m_Z′ = 1 TeV , and m_&chi; = 200 GeV. Also shown are experimentally excluded cross sections of &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) (Obs.) together with the expectations (Exp.) varied up and down by one standard deviation (&plusmn;1&sigma;).

Theoretical cross section for &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) for each of the dark Higgs signal points at m_Z′ ={1000, 1700} GeV, with g_q = 0.25, g<sub>&chi; = 1.0, sin&theta; = 0.01, m_Z′ = 1 TeV , and m_&chi; = 200 GeV. Also shown are experimentally excluded cross sections of &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) (Obs.) together with the expectations (Exp.) varied up and down by one standard deviation (&plusmn;1&sigma;).

Theoretical cross section for &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) for each of the dark Higgs signal points at m_Z′ ={2100, 2500, 2900, 3300} GeV, with g_q = 0.25, g<sub>&chi; = 1.0, sin&theta; = 0.01, m_Z′ = 1 TeV , and m_&chi; = 200 GeV. Also shown are experimentally excluded cross sections of &sigma;(pp &rarr; s&chi;&chi;) &times; B(s &rarr; W^&plusmn;W^&#8723;) (Obs.) together with the expectations (Exp.) varied up and down by one standard deviation (&plusmn;1&sigma;).

The unfolded differential charge asymmetry as a function of the transverse momentum of the top pair system. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NNLO in QCD and NLO in EW theory are listed. The scale uncertainty is obtained by varying renormalisation and factorisation scales independently by a factor of 2 or 0.5 around $\mu_0$ to calculate the maximum and minimum value of the asymmetry, respectively. The nominal value $\mu_0$ is chosen as $H_T/4$. The variations in which one scale is multiplied by 2 while the other scale is divided by 2 are excluded. Finally, the scale and MC integration uncertainties are added in quadrature.

The unfolded differential charge asymmetry as a function of the longitudinal boost of the top pair system. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NNLO in QCD and NLO in EW theory are listed. The scale uncertainty is obtained by varying renormalisation and factorisation scales independently by a factor of 2 or 0.5 around $\mu_0$ to calculate the maximum and minimum value of the asymmetry, respectively. The nominal value $\mu_0$ is chosen as $H_T/4$. The variations in which one scale is multiplied by 2 while the other scale is divided by 2 are excluded. Finally, the scale and MC integration uncertainties are added in quadrature.

The unfolded inclusive leptonic asymmetry. The unfolded $A_C^{\ell\bar{\ell}}$ is obtained in the reduced phase-space defined by the requirement $|\Delta |\eta_{\ell\bar{\ell}}||<2.5$. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NLO in QCD and NLO in EW theory are listed. The theory uncertainty is obtained by varying both scales by a factor of 0.5 or 2.0 to calculate the minimum and maximum value of the asymmetry, respectively.

The unfolded differential leptonic asymmetry as a function of the invariant mass of the di-lepton pair. The unfolded $A_C^{\ell\bar{\ell}}$ is obtained in the reduced phase-space defined by the requirement $|\Delta |\eta_{\ell\bar{\ell}}||<2.5$. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NLO in QCD and NLO in EW theory are listed. The theory uncertainty is obtained by varying both scales by a factor of 0.5 or 2.0 to calculate the minimum and maximum value of the asymmetry, respectively.

The unfolded differential leptonic asymmetry as a function of the transverse momentum of the di-lepton pair. The unfolded $A_C^{\ell\bar{\ell}}$ is obtained in the reduced phase-space defined by the requirement $|\Delta |\eta_{\ell\bar{\ell}}||<2.5$. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NLO in QCD and NLO in EW theory are listed. The theory uncertainty is obtained by varying both scales by a factor of 0.5 or 2.0 to calculate the minimum and maximum value of the asymmetry, respectively.

The unfolded differential leptonic asymmetry as a function of the longitudinal boost of the di-lepton pair. The unfolded $A_C^{\ell\bar{\ell}}$ is obtained in the reduced phase-space defined by the requirement $|\Delta |\eta_{\ell\bar{\ell}}||<2.5$. The measured values are given with statistical and systematic uncertainties. The SM theory predictions calculated at NLO in QCD and NLO in EW theory are listed. The theory uncertainty is obtained by varying both scales by a factor of 0.5 or 2.0 to calculate the minimum and maximum value of the asymmetry, respectively.

Individual 68% and 95% CL bounds on the relevant Wilson coefficients of the SM Effective Field Theory in units of $\text{TeV}^{-2}$. The bounds are derived from the $A_C^{t\bar{t}}$ inclusive measurement. The experimental uncertainties are accounted for, in the form of the complete covariance matrix that keeps track of correlations between bins for the differential measurement. The theory uncertainty from the NNLO QCD + NLO EW calculation is included by explicitly varying the renormalization and factorization scales, or the parton density functions, in the calculation and registering the variations in the intervals.

Individual 68% and 95% CL bounds on the relevant Wilson coefficients of the SM Effective Field Theory in units of $\text{TeV}^{-2}$. The bounds are derived from the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement. The experimental uncertainties are accounted for, in the form of the complete covariance matrix that keeps track of correlations between bins for the differential measurement. The theory uncertainty from the NNLO QCD + NLO EW calculation is included by explicitly varying the renormalization and factorization scales, or the parton density functions, in the calculation and registering the variations in the intervals.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ inclusive measurement. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement for $\beta_{z,t\bar{t}}$ $\in$ [0,0.3]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement for $\beta_{z,t\bar{t}}$ $\in$ [0.3,0.6]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement for $\beta_{z,t\bar{t}}$ $\in$ [0.6,0.8]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement for $\beta_{z,t\bar{t}}$ $\in$ [0.8,1]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement for $m_{t\bar{t}}$ < 500 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement for $m_{t\bar{t}}$ $\in$ [500,750] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement for $m_{t\bar{t}}$ $\in$ [750,1000] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement for $m_{t\bar{t}}$ $\in$ [1000,1500] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement for $m_{t\bar{t}}$ > 1500 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $p_{T,t\bar{t}}$ measurement for $p_{T,t\bar{t}}$ < 30 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $p_{T,t\bar{t}}$ measurement for $p_{T,t\bar{t}}$ $\in$ [30,120] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{t\bar{t}}$ vs $p_{T,t\bar{t}}$ measurement for $p_{T,t\bar{t}}$ > 120 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ inclusive measurement. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement for $\beta_{z,\ell\bar{\ell}}$ $\in$[0,0.3]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement for $\beta_{z,\ell\bar{\ell}}$ $\in$[0.3,0.6]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement for $\beta_{z,\ell\bar{\ell}}$ $\in$[0.6,0.8]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement for $\beta_{z,\ell\bar{\ell}}$ $\in$[0.8,1]. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement for $m_{\ell\bar{\ell}}$ < 200 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement for $m_{\ell\bar{\ell}}$ $\in$ [200,300] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement for $m_{\ell\bar{\ell}}$ $\in$ [300,400] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement for $m_{\ell\bar{\ell}}$ > 400 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $p_{T,\ell\bar{\ell}}$ measurement for $p_{T,\ell\bar{\ell}}$ < 20 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $p_{T,\ell\bar{\ell}}$ measurement for $p_{T,\ell\bar{\ell}}$ $\in$ [20, 70] GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Ranking of the systematic uncertainties with marginalisation for the $A_C^{\ell\ell}$ vs $p_{T,\ell\bar{\ell}}$ measurement for $p_{T,\ell\bar{\ell}}$ > 70 GeV. The effect on unfolded $A_C$ for down and up variation of the systematic uncertainty is shown, respectively. The pulls and constraints of the ranked NPs are obtained from data.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{t\bar{t}}$ inclusive measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{t\bar{t}}$ vs $p_{T,t\bar{t}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{\ell\ell}$ inclusive measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{\ell\ell}$ vs $p_{T,\ell\bar{\ell}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Post-marginalisation correlation coefficients $\rho_{ij}$ of nuisance parameters for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement. Only $|\rho_{ij}| > 0.05$ values are included.

Covariance matrix for the $A_C^{t\bar{t}}$ vs $m_{t\bar{t}}$ measurement.

Covariance matrix for the $A_C^{t\bar{t}}$ vs $p_{T,t\bar{t}}$ measurement.

Covariance matrix for the $A_C^{t\bar{t}}$ vs $\beta_{z,t\bar{t}}$ measurement.

Covariance matrix for the $A_C^{\ell\ell}$ vs $m_{\ell\bar{\ell}}$ measurement.

Covariance matrix for the $A_C^{\ell\ell}$ vs $p_{T,\ell\bar{\ell}}$ measurement.

Covariance matrix for the $A_C^{\ell\ell}$ vs $\beta_{z,\ell\bar{\ell}}$ measurement.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Reconstructed mtb distribution in data and for the background after the fit to the data in the signal region SR2. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

Reconstructed mtb distribution in data and for the background after the fit to the data in the signal region SR3. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

Reconstructed mtb distribution in data and for the background after the fit to the data in the validation region VR. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

Number of expected Standard Model background events including total statistical and systematic uncertainty added in quadrature (calculated before applying the statistical fitting procedure), number of observed events, and the observed and expected 95% CL upper limits on the visible $\tau\nu$ production cross section, $\sigma_{\rm vis} = \sigma(pp \to \tau\nu +X) \cdot \mathcal{A} \cdot \varepsilon$, for $m_{\rm T}$ thresholds ranging from 250 to 1800 GeV. See HepData abstract for details on how to use this data for reinterpretation.

Number of expected Standard Model background events including total statistical and systematic uncertainty added in quadrature (calculated before applying the statistical fitting procedure), number of observed events, and the observed and expected 95% CL upper limits on the visible $\tau\nu$ production cross section, $\sigma_{\rm vis} = \sigma(pp \to \tau\nu +X) \cdot \mathcal{A} \cdot \varepsilon$, for $m_{\rm T}$ thresholds ranging from 250 to 1800 GeV. See HepData abstract for details on how to use this data for reinterpretation.

Number of expected Standard Model background events including total statistical and systematic uncertainty added in quadrature (calculated before applying the statistical fitting procedure), number of observed events, and the observed and expected 95% CL upper limits on the visible $\tau\nu$ production cross section, $\sigma_{\rm vis} = \sigma(pp \to \tau\nu +X) \cdot \mathcal{A} \cdot \varepsilon$, for $m_{\rm T}$ thresholds ranging from 250 to 1800 GeV. See HepData abstract for details on how to use this data for reinterpretation.

Observed and expected 95% CL upper limits on cross section times $\tau\nu$ branching fraction for $W^{\prime}_{\rm SSM}$.

Observed and expected 95% CL upper limits on cross section times $\tau\nu$ branching fraction for $W^{\prime}_{\rm SSM}$.

Observed and expected 95% CL upper limits on cross section times $\tau\nu$ branching fraction for $W^{\prime}_{\rm SSM}$.

Regions of the non-universal G(221) parameter space excluded at 95% CL.

Regions of the non-universal G(221) parameter space excluded at 95% CL.

Regions of the non-universal G(221) parameter space excluded at 95% CL.

Number of expected $W^{\prime}_{\rm SSM}$, $W^{\prime}_{\rm NU}$, Standard Model background and observed events passing the optimal $m_{\rm T}$ threshold for each considered signal mass hypothesis. The expectations include the total statistical and systematic uncertainty added in quadrature. The yields and uncertainties are calculated before applying the statistical fitting procedure.

Number of expected $W^{\prime}_{\rm SSM}$, $W^{\prime}_{\rm NU}$, Standard Model background and observed events passing the optimal $m_{\rm T}$ threshold for each considered signal mass hypothesis. The expectations include the total statistical and systematic uncertainty added in quadrature. The yields and uncertainties are calculated before applying the statistical fitting procedure.

Number of expected $W^{\prime}_{\rm SSM}$, $W^{\prime}_{\rm NU}$, Standard Model background and observed events passing the optimal $m_{\rm T}$ threshold for each considered signal mass hypothesis. The expectations include the total statistical and systematic uncertainty added in quadrature. The yields and uncertainties are calculated before applying the statistical fitting procedure.

Acceptance for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at generator-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. The "selected tau" criteria include the requirement of a $\tau_{\rm had-vis}$ with $p_{\rm T}$ > 50 GeV and $|\eta|$ < 2.4. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at generator-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. The "selected tau" criteria include the requirement of a $\tau_{\rm had-vis}$ with $p_{\rm T}$ > 50 GeV and $|\eta|$ < 2.4. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at generator-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. The "selected tau" criteria include the requirement of a $\tau_{\rm had-vis}$ with $p_{\rm T}$ > 50 GeV and $|\eta|$ < 2.4. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance times efficiency for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at reconstruction-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. "Preselection" includes all criteria prior to those shown. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance times efficiency for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at reconstruction-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. "Preselection" includes all criteria prior to those shown. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Acceptance times efficiency for $W^{\prime}_{\rm SSM}$ as a function of the $W^{\prime}_{\rm SSM}$ mass, shown after successively applying selection at reconstruction-level. The acceptance times efficiency is calculated with respect to all $W^{\prime}_{\rm SSM} \to \tau\nu$ events with a generated $\tau\nu$ mass above 120 GeV. "Preselection" includes all criteria prior to those shown. The $m_{\rm T}$ threshold for each $W^{\prime}_{\rm SSM}$ mass is defined in Table 5.

Reconstruction efficiency as a function of $m_{\rm T}$ (see HepData abstract for parameterization), defined as the ratio of the number of $\tau\nu$ events remaining after applying the full selection at reconstruction-level to those remaining after applying the fiducial selection at generator-level. The efficiency is largely model independent, with an uncertainty of ~10% due to model choice.

Reconstruction efficiency as a function of $m_{\rm T}$ (see HepData abstract for parameterization), defined as the ratio of the number of $\tau\nu$ events remaining after applying the full selection at reconstruction-level to those remaining after applying the fiducial selection at generator-level. The efficiency is largely model independent, with an uncertainty of ~10% due to model choice.

Reconstruction efficiency as a function of $m_{\rm T}$ (see HepData abstract for parameterization), defined as the ratio of the number of $\tau\nu$ events remaining after applying the full selection at reconstruction-level to those remaining after applying the fiducial selection at generator-level. The efficiency is largely model independent, with an uncertainty of ~10% due to model choice.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for the ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,100) GeV and ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,800) GeV models. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of combined statistical and systematic uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for the ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,100) GeV and ($m_{\tilde{W}}$, $m_{\tilde{\chi}^{0}_{1}}$) = (1000,800) GeV models. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of combined statistical and systematic uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Comparisons between expected and observed content of the validation and signal regions for the photon+jets analysis. The uncertainties in the expected numbers of events are the combined statistical and systematic uncertainties. The lower panel shows the pull (difference between observed and expected event counts normalized by the uncertainty) for each region.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma j}_{H}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for points in the $m_{\tilde{g}}-m_{\tilde{\chi}^{0}_{1}}$ parameter space of the GGM model relevant to the photon+jets analysis (mass values in GeV). The value of the gluino mass arises from the choice $M_{3}$ = 1900 GeV. The $\tilde{\chi}^{0}_{1}$ mass values of 1868, 1920, 442 and 652 GeV arise from the choices $\mu$ = 1810, 1868, 400 and 600 GeV, respectively, combined with the constraint that the branching fraction of $\tilde{\chi}^{0}_{1}$ $\to \gamma \tilde{G}$ be 50%. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma j}_{H}$ and $\mathrm{SR}^{\gamma j}_{L}$ for $\mathrm{SR}^{\gamma j}_{L200}$, the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement is 200 GeV rather than 300 GeV. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of statistical uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Distribution of the missing transverse momentum $E_{\mathrm{T}}^{\mathrm{miss}}$ for the sample satisfying all requirements of the $\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{L200}$ selection except the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement itself. Overlaid are the expected SM backgrounds, separated into the various contributing sources. Also shown are the signal expectations for points in the $m_{\tilde{g}}-m_{\tilde{\chi}^{0}_{1}}$ parameter space of the GGM model relevant to the photon+jets analysis (mass values in GeV). The value of the gluino mass arises from the choice $M_{3}$ = 1900 GeV. The $\tilde{\chi}^{0}_{1}$ mass values of 1868, 1920, 442 and 652 GeV arise from the choices $\mu$ = 1810, 1868, 400 and 600 GeV, respectively, combined with the constraint that the branching fraction of $\tilde{\chi}^{0}_{1} \to \gamma \tilde{G}$ be 50%. The vertical dashed lines and right-pointing arrows show the region of the $E_{\mathrm{T}}^{\mathrm{miss}}$ observable selected for inclusion in $\mathrm{SR}^{\gamma j}_{H}$ and $\mathrm{SR}^{\gamma j}_{L}$ for $\mathrm{SR}^{\gamma j}_{L200}$, the $E_{\mathrm{T}}^{\mathrm{miss}}$ requirement is 200 GeV rather than 300 GeV. The lower panels show the ratio of observed data to the combined SM expectation. For these plots, the band represents the range of statistical uncertainty in the SM expectation. Events outside the range of the displayed region are included in the highest-value bin.

Expected exclusion limits in the gluino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 1600$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 1600$ GeV.

Observed exclusion limits in the gluino--bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 1600$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 1600$ GeV.

Expected exclusion limit in the squark-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 900$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 900$ GeV.

Observed exclusion limit in the squark--bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 900$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}} < 900$ GeV.

Expected exclusion limit in the wino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 400$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}}$ < 400$ GeV.

Observed exclusion limit in the wino-bino mass plane, using the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ analysis for $m_{\tilde{\chi}^{0}_{1}} > 400$ GeV and the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ analysis for $m_{\tilde{\chi}^{0}_{1}}$ < 400$ GeV.

Expected exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis.

Observed exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis.

Distribution of the transverse momentum $p_{\mathrm{T}} (\ell\gamma\gamma)$ of events in the $\ell\gamma\gamma$ control region (except without a cut on $p_{\mathrm{T}} (\ell\gamma\gamma)$). Also shown is the expected contribution from various SM sources, including $W(\to\ell\nu) + \gamma\gamma$ production itself. The displayed uncertainties are a combination of those from all SM sources except $W(\to\ell\nu) + \gamma\gamma$ production, and include statistical and systematic uncertainties.

Distribution of $E_{\mathrm{T}}^{\mathrm{miss}}$ for diphoton events in a validation region defined by a requirement of $H_{\mathrm{T}} > 1750$ GeV. Also shown is the expected contribution from various SM sources, as well as their combined statistical and systematic uncertainties.

Distribution of $H_{\mathrm{T}}$ for diphoton events in a validation region defined by requirement of $E_{\mathrm{T}}^{\mathrm{miss}} > 100$ GeV. Also shown is the expected contribution from various SM sources, as well as their combined statistical and systematic uncertainties.

Distribution of $m_{\mathrm{eff}}$ for events satisfying all requirements $\mathrm{SR}^{\gamma j}_{H}$ save the $m_{\mathrm{eff}}$ requirement itself. Also shown is the expected contribution from various SM sources, and their combined statistical uncertainties.

Distribution of $m_{\mathrm{eff}}$ for events satisfying all requirements $\mathrm{SR}^{\gamma j}_{L}$ save the $m_{\mathrm{eff}}$ requirement itself. Also shown is the expected contribution from various SM sources, and their combined statistical uncertainties.

Derived exclusion limits for the gluino-bino GGM model explored by the diphoton analysis. For each point in the gluino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the squark-bino GGM model explored by the diphoton analysis. For each point in the squark-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the wino-bino GGM model explored by the diphoton analysis. For each point in the wino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{W-L}$ or $\mathrm{SR}^{\gamma\gamma}_{W-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis. For each point in the higgsino-bino parameter space, the SR ($\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The model dependent upper limits on cross-section (fb) are shown by grey numbers for each signal point.

Derived exclusion limits for the gluino-bino GGM model explored by the diphoton analysis. For each point in the gluino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where SL and SH mean $\mathrm{SR}^{\gamma\gamma}_{S-L}$ and $\mathrm{SR}^{\gamma\gamma}_{S-H}$, respectively.

Derived exclusion limits for the squark-bino GGM model explored by the diphoton analysis. For each point in the squark-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{S-L}$ or $\mathrm{SR}^{\gamma\gamma}_{S-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where SL and SH mean $\mathrm{SR}^{\gamma\gamma}_{S-L}$ and $\mathrm{SR}^{\gamma\gamma}_{S-H}$, respectively.

Derived exclusion limits for the wino--bino GGM model explored by the diphoton analysis. For each point in the wino-bino parameter space, the SR ($\mathrm{SR}^{\gamma\gamma}_{W-L}$ or $\mathrm{SR}^{\gamma\gamma}_{W-H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where WL and WH mean $\mathrm{SR}^{\gamma\gamma}_{W-L}$ and $\mathrm{SR}^{\gamma\gamma}_{W-H}$, respectively.

Derived exclusion limits for the $\mu > 0$ higgsino-bino GGM model explored by the photon+jets analysis. For each point in the higgsino-bino parameter space, the SR ($\mathrm{SR}^{\gamma j}_{L}$ or $\mathrm{SR}^{\gamma j}_{H}$) that provides the best expected sensitivity is used to estimate the exclusion likelihood. The labels indicate the best-expected signal region for each point, where L and H mean $\mathrm{SR}^{\gamma j}_{L}$ and $\mathrm{SR}^{\gamma j}_{H}$, respectively.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-L}$ for the signal models of the gluino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-H}$ for the signal models of the gluino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-L}$ for the signal models of the squark-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{S-H}$ for the signal models of the squark-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{W-L}$ for the signal models of the wino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma\gamma}_{W-H}$ for the signal models of the wino-bino GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma j}_{L}$ for the signal models of the photon+jets GGM grid.

Acceptance and efficiency for $\mathrm{SR}^{\gamma j}_{H}$ for the signal models of the photon+jets GGM grid.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ selection for one relevant signal point in the gluino-bino model, where the gluinos have mass of 1900 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 300 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ selection for one relevant signal point in the gluino-bino model, where the gluinos have mass of 1900 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1700 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-L}$ selection for one relevant signal point in the squark-bino model, where the squarks have mass of 1700 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 200 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{S-H}$ selection for one relevant signal point in the squark-bino model, where the squarks have mass of 1700 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1600 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{W-L}$ selection for one relevant signal point in the wino-bino model, where the winos have mass of 1000 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 200 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma\gamma}_{W-H}$ selection for one relevant signal point in the wino-bino model, where the winos have mass of 1000 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 800 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma j}_{L}$ selection, for two relevant signal points in the higgsino-bino model, where the gluinos have mass of 1974 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 442 GeV (10000 generated events), and 652 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

Cutflow for the $\mathrm{SR}^{\gamma j}_{H}$ selection, for two relevant signal points in the higgsino-bino model, where the gluinos have mass of 1974 GeV and the $\tilde{\chi}^{0}_{1}$ has a mass of 1868 GeV (10000 generated events), and 1920 GeV (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.

<b>Kinematics 2</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SR&#8467;&#8467;-m_{&#8467;&#8467;} [1, 60] (top) and slepton SR&#8467;&#8467;-m_T2¹⁰⁰ [100, &infin;] (bottom) signal regions. The arrow in the E_T^miss/H_T^lep variables indicates the minimum value of the requirement imposed in the final SR selection. The m_{&#8467;&#8467;} and m_T2 distributions (right) have all the SR requirements applied. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The uncertainty bands plotted include all statistical and systematic uncertainties. The last bin includes overflow. The dashed lines represent benchmark signal samples corresponding to the Higgsino H&#771; and slepton &#8467;&#771; simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 3</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SR&#8467;&#8467;-m_{&#8467;&#8467;} [1, 60] (top) and slepton SR&#8467;&#8467;-m_T2¹⁰⁰ [100, &infin;] (bottom) signal regions. The arrow in the E_T^miss/H_T^lep variables indicates the minimum value of the requirement imposed in the final SR selection. The m_{&#8467;&#8467;} and m_T2 distributions (right) have all the SR requirements applied. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The uncertainty bands plotted include all statistical and systematic uncertainties. The last bin includes overflow. The dashed lines represent benchmark signal samples corresponding to the Higgsino H&#771; and slepton &#8467;&#771; simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 3</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SR&#8467;&#8467;-m_{&#8467;&#8467;} [1, 60] (top) and slepton SR&#8467;&#8467;-m_T2¹⁰⁰ [100, &infin;] (bottom) signal regions. The arrow in the E_T^miss/H_T^lep variables indicates the minimum value of the requirement imposed in the final SR selection. The m_{&#8467;&#8467;} and m_T2 distributions (right) have all the SR requirements applied. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The uncertainty bands plotted include all statistical and systematic uncertainties. The last bin includes overflow. The dashed lines represent benchmark signal samples corresponding to the Higgsino H&#771; and slepton &#8467;&#771; simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 4</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SR&#8467;&#8467;-m_{&#8467;&#8467;} [1, 60] (top) and slepton SR&#8467;&#8467;-m_T2¹⁰⁰ [100, &infin;] (bottom) signal regions. The arrow in the E_T^miss/H_T^lep variables indicates the minimum value of the requirement imposed in the final SR selection. The m_{&#8467;&#8467;} and m_T2 distributions (right) have all the SR requirements applied. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The uncertainty bands plotted include all statistical and systematic uncertainties. The last bin includes overflow. The dashed lines represent benchmark signal samples corresponding to the Higgsino H&#771; and slepton &#8467;&#771; simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 4</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SR&#8467;&#8467;-m_{&#8467;&#8467;} [1, 60] (top) and slepton SR&#8467;&#8467;-m_T2¹⁰⁰ [100, &infin;] (bottom) signal regions. The arrow in the E_T^miss/H_T^lep variables indicates the minimum value of the requirement imposed in the final SR selection. The m_{&#8467;&#8467;} and m_T2 distributions (right) have all the SR requirements applied. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The uncertainty bands plotted include all statistical and systematic uncertainties. The last bin includes overflow. The dashed lines represent benchmark signal samples corresponding to the Higgsino H&#771; and slepton &#8467;&#771; simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Exclusion 1 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 1 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 1 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 1 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 2 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 2 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 2 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 2 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1&sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1&sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct Higgsino (top) and wino (bottom) production. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive the limit, which is projected into the &Delta; m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) vs. m(&chi;&#771;₂⁰) plane. For Higgsino production, the chargino &chi;&#771;₁^pm mass is assumed to be halfway between the two lightest neutralino masses, while m(&chi;&#771;₂⁰) = m(&chi;&#771;₁^pm) is assumed for the wino--bino model. The gray regions denote the lower chargino mass limit from LEP [20]. The blue region in the lower plot indicates the limit from the 2&#8467;+3&#8467; combination of ATLAS Run 1 [41,42].

<b>Exclusion 3 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with &plusmn; 1 &sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with &plusmn; 1 &sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m_T2¹⁰⁰ spectrum is used to derive the limit, which is projected into the &Delta; m(&#8467;&#771;, &chi;&#771;₁⁰) vs. m(&#8467;&#771;) plane. Slepton &#8467;&#771; refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R). The gray region is the e&#771;_R limit from LEP [20,24], while the blue region is the fourfold mass degenerate slepton limit from ATLAS Run 1 [41].

<b>Exclusion 3 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with &plusmn; 1 &sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with &plusmn; 1 &sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m_T2¹⁰⁰ spectrum is used to derive the limit, which is projected into the &Delta; m(&#8467;&#771;, &chi;&#771;₁⁰) vs. m(&#8467;&#771;) plane. Slepton &#8467;&#771; refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R). The gray region is the e&#771;_R limit from LEP [20,24], while the blue region is the fourfold mass degenerate slepton limit from ATLAS Run 1 [41].

<b>Exclusion 3 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with &plusmn; 1 &sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with &plusmn; 1 &sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m_T2¹⁰⁰ spectrum is used to derive the limit, which is projected into the &Delta; m(&#8467;&#771;, &chi;&#771;₁⁰) vs. m(&#8467;&#771;) plane. Slepton &#8467;&#771; refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R). The gray region is the e&#771;_R limit from LEP [20,24], while the blue region is the fourfold mass degenerate slepton limit from ATLAS Run 1 [41].

<b>Exclusion 3 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with &plusmn; 1 &sigma;_exp (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with &plusmn; 1 &sigma;_theory (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m_T2¹⁰⁰ spectrum is used to derive the limit, which is projected into the &Delta; m(&#8467;&#771;, &chi;&#771;₁⁰) vs. m(&#8467;&#771;) plane. Slepton &#8467;&#771; refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R). The gray region is the e&#771;_R limit from LEP [20,24], while the blue region is the fourfold mass degenerate slepton limit from ATLAS Run 1 [41].

<b>Upper Limits 1</b> The first two columns present observed (N_obs) and expected (N_exp) event yields in the inclusive signal regions. The latter are obtained by the background-only fit of the control regions, and the errors include both statistical and systematic uncertainties. The next two columns show the observed 95% CL upper limits on the visible cross-section (&lang;&epsilon;&sigma;&rang;_obs⁹⁵) and on the number of signal events (S_obs⁹⁵). The fifth column (S_exp⁹⁵) shows what the 95% CL upper limit on the number of signal events would be, given an observed number of events equal to the expected number (and +- 1 &sigma; deviations from the expectation) of background events. The last column indicates the discovery p-value (p(s = 0)), which is capped at 0.5.

<b>Upper Limits 1</b> The first two columns present observed (N_obs) and expected (N_exp) event yields in the inclusive signal regions. The latter are obtained by the background-only fit of the control regions, and the errors include both statistical and systematic uncertainties. The next two columns show the observed 95% CL upper limits on the visible cross-section (&lang;&epsilon;&sigma;&rang;_obs⁹⁵) and on the number of signal events (S_obs⁹⁵). The fifth column (S_exp⁹⁵) shows what the 95% CL upper limit on the number of signal events would be, given an observed number of events equal to the expected number (and +- 1 &sigma; deviations from the expectation) of background events. The last column indicates the discovery p-value (p(s = 0)), which is capped at 0.5.

<b>Cutflow 1</b> Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Cutflow 1</b> Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Acceptances 1</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 1</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 2</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 2</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 3</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 3</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 4</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 4</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 5</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 5</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 6</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 6</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 7</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 7</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^&plusmn; production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 8</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 8</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 9</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 9</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 10</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 10</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 11</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 11</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 12</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 12</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 13</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 13</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 14</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 14</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 15</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 15</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 16</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 16</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 17</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 17</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 18</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 18</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 19</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 19</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 20</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 20</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 21</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 21</b> Truth acceptances for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 22</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 22</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 23</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 23</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 24</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 24</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 25</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 25</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 26</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 26</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 27</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 27</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 28</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 28</b> Truth acceptances for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Numbers overlaid on the mass planes are the acceptance &times; 10⁴.

<b>Acceptances 29</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 29</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 30</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 30</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 31</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 31</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 32</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 32</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 33</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 33</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 34</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Acceptances 34</b> Truth acceptances for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Numbers overlaid on the mass planes are the acceptance &times; 10³.

<b>Efficiencies 1</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 1</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 2</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 2</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 3</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 3</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 4</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 4</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 5</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 5</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 6</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 6</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 7</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 7</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁺ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 8</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 8</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 9</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 9</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 10</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 10</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 11</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 11</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 12</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 12</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 13</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 13</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 14</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 14</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 15</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 15</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 16</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 16</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 17</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 17</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 18</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 18</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 19</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 19</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 20</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 20</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 21</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 21</b> Efficiencies for the Higgsino &chi;&#771;₂⁰&chi;&#771;₁⁰ production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 22</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 22</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 23</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 23</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 24</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 24</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 25</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 25</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 26</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 26</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 27</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 27</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 28</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 28</b> Efficiencies for the Higgsino &chi;&#771;₁⁺&chi;&#771;₁^- production process in the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 29</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 29</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 30</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 30</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 31</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 31</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 32</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 32</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 33</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 33</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 34</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Efficiencies 34</b> Efficiencies for the &#8467;&#771;&#8467;&#771; production in the inclusive SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of &Delta; m or m_T2 for the inclusive signal region under study.

<b>Cross-Sections 1</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 1</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 2</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 2</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 3</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 3</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 4</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 4</b> Cross-sections of the Higgsino signal grid for each production process denoted in the caption.

<b>Cross-Sections 5</b> Cross-sections of the wino--bino signal grid for each production process in the caption.

<b>Cross-Sections 5</b> Cross-sections of the wino--bino signal grid for each production process in the caption.

<b>Cross-Sections 6</b> Cross-sections of the wino--bino signal grid for each production process in the caption.

<b>Cross-Sections 6</b> Cross-sections of the wino--bino signal grid for each production process in the caption.

<b>Cross-Sections 7</b> Total cross-sections of the slepton simplified model signal grid. Slepton refers to a the scalar partners of the left- and right-handed electrons and muons, which are assumed to be mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R).

<b>Cross-Sections 7</b> Total cross-sections of the slepton simplified model signal grid. Slepton refers to a the scalar partners of the left- and right-handed electrons and muons, which are assumed to be mass degenerate m(e&#771;_L) = m(e&#771;_R) = m(&mu;&#771;_L) = m(&mu;&#771;_R).

<b>Kinematics 5</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 5</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 6</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 6</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 7</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 7</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 8</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 8</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 9</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 9</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 10</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 10</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 11</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 11</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 12</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 12</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 13</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 13</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 14</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 14</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 15</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Kinematics 15</b> Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e. not including requirements specific to the electroweakino or slepton SR definitions. Blue arrows in the upper panel denote the final requirement used to define the common SR, otherwise all selections are applied. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. The first (last) bin includes underflow (overflow). Benchmark Higgsino H&#771; and slepton &#8467;&#771; signals are overlaid as dashed lines. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.

<b>Upper Limits 2</b> Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.

<b>Upper Limits 2</b> Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.

<b>Upper Limits 3</b> Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.

<b>Upper Limits 3</b> Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.

<b>Upper Limits 4</b> Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.

<b>Upper Limits 4</b> Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.

<b>Upper Limits 5</b> Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.

<b>Upper Limits 5</b> Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.

<b>Upper Limits 6</b> Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass degeneracy m(e&#771;_L,R) = m(&mu;&#771;_L,R).

<b>Upper Limits 6</b> Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass degeneracy m(e&#771;_L,R) = m(&mu;&#771;_L,R).

<b>Upper Limits 7</b> Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass degeneracy m(e&#771;_L,R) = m(&mu;&#771;_L,R).

<b>Upper Limits 7</b> Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass degeneracy m(e&#771;_L,R) = m(&mu;&#771;_L,R).

<b>Upper Limits 8</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Upper Limits 8</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Upper Limits 9</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Upper Limits 9</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Upper Limits 10</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Upper Limits 10</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m_1/2 for the NUHM2 model. The gray numbers indicate the values of the observed limit. The green and yellow bands around the expected limit indicate the &plusmn; 1&sigma; and &plusmn; 2&sigma; uncertainties, respectively. The expected signal production cross-sections as well as the associated uncertainty are indicated with the blue solid and dashed lines. The lower x-axis indicates the difference between the &chi;&#771;₂⁰ and &chi;&#771;₁⁰ masses for different values of m_1/2. A fit of signals to the m_{&#8467;&#8467;} spectrum is used to derive this limit.

<b>Cutflow 2</b> Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Cutflow 2</b> Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Cutflow 3</b> Observed event yields and background-only fit results for the inclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Cutflow 3</b> Observed event yields and background-only fit results for the inclusive electroweakino and slepton signal regions. Background processes containing fewer than two prompt leptons are categorized as `Fake/nonprompt'. The category `Others' contains rare backgrounds from triboson, Higgs boson, and the remaining top-quark production processes listed in Table 1. Uncertainties in the fitted background estimates combine statistical and systematic uncertainties.

<b>Exclusion 4</b> Nominal observed and expected CLs values for Higgsino signals.

<b>Exclusion 4</b> Nominal observed and expected CLs values for Higgsino signals.

<b>Exclusion 5</b> Nominal observed and expected CLs values for wino--bino signals.

<b>Exclusion 5</b> Nominal observed and expected CLs values for wino--bino signals.

<b>Exclusion 6</b> Nominal observed and expected CLs values for slepton signals.

<b>Exclusion 6</b> Nominal observed and expected CLs values for slepton signals.

<b>Upper Limits 11</b> Upper limits on observed (expected) Higgsino simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Upper Limits 11</b> Upper limits on observed (expected) Higgsino simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Upper Limits 12</b> Upper limits on observed (expected) wino--bino simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Upper Limits 12</b> Upper limits on observed (expected) wino--bino simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Upper Limits 13</b> Upper limits on observed (expected) slepton simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Upper Limits 13</b> Upper limits on observed (expected) slepton simplified model signal cross section &sigma;_{obs (exp)}⁹⁵ and signal strength &sigma;_{obs (exp)}⁹⁵ / &sigma;_theory.

<b>Cutflow 4</b> Event counts for Higgsino H and slepton &#8467; signals after sequential selections for the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} and SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Weighted events are normalised to mathcalL = 36.1 fb^-1 and the inclusive cross section &sigma;, while raw MC events are also shown. The generator filter with efficiency &epsilon;_filt applied to the Higgsino signal requires truth E_T^miss &gt; 50 GeV and at least 2 leptons with p_T &gt; 3 GeV, while only the E_T^miss &gt; 50 GeV requirement is applied to the slepton signal. The mathcalB refers to the branching ratio Z^(*) &rarr; &#8467;⁺&#8467;^- in the Higgsino processes. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions.

<b>Cutflow 4</b> Event counts for Higgsino H and slepton &#8467; signals after sequential selections for the inclusive SR&#8467;&#8467;-m_{&#8467;&#8467;} and SR&#8467;&#8467;-m_T2¹⁰⁰ regions. Weighted events are normalised to mathcalL = 36.1 fb^-1 and the inclusive cross section &sigma;, while raw MC events are also shown. The generator filter with efficiency &epsilon;_filt applied to the Higgsino signal requires truth E_T^miss &gt; 50 GeV and at least 2 leptons with p_T &gt; 3 GeV, while only the E_T^miss &gt; 50 GeV requirement is applied to the slepton signal. The mathcalB refers to the branching ratio Z^(*) &rarr; &#8467;⁺&#8467;^- in the Higgsino processes. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions.

<b>Cutflow 5</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁⁺ process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs), followed by those optimised for Higgsinos and sleptons. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 5</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁⁺ process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs), followed by those optimised for Higgsinos and sleptons. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 6</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁^- process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs), followed by those optimised for Higgsinos and sleptons. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 6</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁^- process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs), followed by those optimised for Higgsinos and sleptons. ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 7</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁⁰ process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement followed by those optimised for Higgsinos and sleptons. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 7</b> Event counts for the &chi;&#771;₂⁰&chi;&#771;₁⁰ process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement followed by those optimised for Higgsinos and sleptons. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 8</b> Event counts for the &chi;&#771;₁⁺&chi;&#771;₁^- process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs). ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

<b>Cutflow 8</b> Event counts for the &chi;&#771;₁⁺&chi;&#771;₁^- process of the Higgsino m(&chi;&#771;₂⁰, &chi;&#771;₁⁰) = (110, 100) GeV signal and sequentially with each addition requirement for selections common to all signal regions (SRs). ``Lepton truth matching" requires that the selected leptons are consistent with being decay products of the SUSY process. ``Lepton author 16 veto" removes a class of electron candidates reconstructed with algorithms designed to identify photon conversions. Weighted events are normalised to 36.1 fb^-1 and the raw Monte Carlo events are also displayed.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 0.33 < ln(R/#DeltaR) < 0.67.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 0.67 < ln(R/#DeltaR) < 1.00.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 1.00 < ln(R/#DeltaR) < 1.33.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 1.33 < ln(R/#DeltaR) < 1.67.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 1.67 < ln(R/#DeltaR) < 2.00.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 2.00 < ln(R/#DeltaR) < 2.33.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 2.33 < ln(R/#DeltaR) < 2.67.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 2.67 < ln(R/#DeltaR) < 3.00.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 3.00 < ln(R/#DeltaR) < 3.33.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 3.33 < ln(R/#DeltaR) < 3.67.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 3.67 < ln(R/#DeltaR) < 4.00.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single vertical slice of the Lund jet plane between 4.00 < ln(R/#DeltaR) < 4.33.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 0.69 < ln(1/z) < 0.97.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 0.97 < ln(1/z) < 1.25.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 1.25 < ln(1/z) < 1.52.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 1.52 < ln(1/z) < 1.80.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 1.80 < ln(1/z) < 2.08.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 2.08 < ln(1/z) < 2.36.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 2.36 < ln(1/z) < 2.63.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 2.63 < ln(1/z) < 2.91.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 2.91 < ln(1/z) < 3.19.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 3.19 < ln(1/z) < 3.47.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 3.47 < ln(1/z) < 3.74.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 3.74 < ln(1/z) < 4.02.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 4.02 < ln(1/z) < 4.30.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 4.30 < ln(1/z) < 4.57.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 4.57 < ln(1/z) < 4.85.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 4.85 < ln(1/z) < 5.13.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.13 < ln(1/z) < 5.41.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.41 < ln(1/z) < 5.68.

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.68 < ln(1/z) < 5.96.

The summed covariance matrix of all systematic and statistical uncertainties associated with the measurement in bins of $\ln{(1/z)} \times \ln{(R/\Delta R)}$.

The summed covariance matrix of all statistical uncertainties associated with the measurement in bins of $\ln{(1/z)} \times \ln{(R/\Delta R)}$.

Observed 95% CL exclusion contours in the $(m_{N_R}, m_{W_R})$ plane in the muon channel.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Statistical correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Total correlation between bins in data for the measured fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_\text{T}^{\text{lead }\ell}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $m_{e\mu}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $p_{T}^{e\mu}$.

Measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Statistical correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Total correlation between bins in data for the measured normalized fiducial cross-section of $WW\rightarrow e\mu$ production for the observable $|y_{e\mu}|$.

Measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Statistical correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Total correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $\Delta\phi_{e\mu}$.

Measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Statistical correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

Total correlation between bins in data for the measured normalized fiducial cross section of $WW\rightarrow e\mu$ production for the observable $|cos(\theta^*)|$.

List of experimentally considered systematic uncertainties for the WW cross section measurement.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $p_\text{T}^{\text{lead }\ell}$.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $m_{e\mu}$.

Extrapolated unfolded fiducial cross-section of $WW\rightarrow e\mu$ production as a function of $p_{T}^{e\mu}$.