Expected and observed upper limits on $\tan\beta$ as a function of $m_{H^{+}}$ in the hMSSM scenario of the MSSM. Limits are shown for $\tan\beta$ values in the range of 0.5-60, where predictions are available from both scenarios. The bands surrounding the expected limits show the 68% and 95% confidence intervals. The limits are based on the combination of the $\ell+$jets and $\ell\ell$ final states. The production cross-section of $t\bar{t}H$ and $tH$, as well as the branching ratios of the $H$, are fixed to their SM values at each point in the plane. Uncertainties on the predicted $H^{+}$ cross-sections or branching ratios are not considered.

Expected and observed lower limits on $\tan\beta$ as a function of $m_{H^{+}}$ in the hMSSM scenario of the MSSM. Limits are shown for $\tan\beta$ values in the range of 0.5-60, where predictions are available from both scenarios. The bands surrounding the expected limits show the 68% and 95% confidence intervals. The limits are based on the combination of the $\ell+$jets and $\ell\ell$ final states. The production cross-section of $t\bar{t}H$ and $tH$, as well as the branching ratios of the $H$, are fixed to their SM values at each point in the plane. Uncertainties on the predicted $H^{+}$ cross-sections or branching ratios are not considered.

Expected 95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the hMSSM, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).

Observed a95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the $m_{H}^{mod-}$ scenario, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).

Expected 95% CL exclusion contour in the tan$\beta$ - $m_H$ plane shown in the context of the $m_{H}^{mod-}$ scenario, for the regions in which theoretical predictions are available (0.5$\leq\text{tan}\beta\leq60$).

Expected 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Majorana $N_R$ neutrino $\mu\mu$ channel.

Observed 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Majorana $N_R$ neutrino $\mu\mu$ channel.

Observed and expected 95% CL exclusion, for the tested signal mass hypotheses in the $m_{W_R}–m_{N_R}$ plane, for the Majorana $N_R$ neutrino $\mu\mu$ channel.

Expected 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $ee$ channel.

Observed 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $ee$ channel.

Observed and expected 95% CL exclusion, for the tested signal mass hypotheses in the $m_{W_R}–m_{N_R}$ plane, for the Dirac $N_R$ neutrino $ee$ channel.

Expected 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $\mu\mu$ channel.

Observed 95% CL exclusion contour in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $\mu\mu$ channel.

Observed and expected 95% CL exclusion, for the tested signal mass hypotheses in the $m_{W_R}–m_{N_R}$ plane, for the Dirac $N_R$ neutrino $\mu\mu$ channel.

Observed 95% CL upper limit on cross-section times branching ratio to the $ee$ final state for the Keung-Senjanovic process in the $m_{W_R}–m_{N_R}$ plane for the Majorana $N_R$ neutrino $ee$ channel.

Observed 95% CL upper limit on cross-section times branching ratio to the $\mu\mu$ final state for the Keung-Senjanovic process in the $m_{W_R}–m_{N_R}$ plane for the Majorana $N_R$ neutrino $\mu\mu$ channel.

Observed 95% CL upper limit on cross-section times branching ratio to the $\mu\mu$ final state for the Keung-Senjanovic process in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $ee$ channel.

Observed 95% CL upper limit on cross-section times branching ratio to the $\mu\mu$ final state for the Keung-Senjanovic process in the $m_{W_R}–m_{N_R}$ plane for the Dirac $N_R$ neutrino $\mu\mu$ channel.

Efficiencies times acceptance for signal region selection as a function of the signal $W_R$ and $N_R$ masses for the SS $e^{\pm}e^{\pm}$ channel.

Efficiencies times acceptance for signal region selection as a function of the signal $W_R$ and $N_R$ masses for the SS $\mu^{\pm}\mu^{\pm}$ channel.

Efficiencies times acceptance for signal region selection as a function of the signal $W_R$ and $N_R$ masses for the OS $e^{\pm}e^{\mp}$ channel.

Efficiencies times acceptance for signal region selection as a function of the signal $W_R$ and $N_R$ masses for the OS $\mu^{\pm}\mu^{\mp}$ channel.

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Impact of different components of systematic uncertainty on the measured fiducial cross section, without taking into account correlations. The impact of one source of systematic uncertainty is computed by first performing the fit with the corresponding nuisance parameter fixed to one standard deviation up or down from the value obtained in the nominal fit, then these up and down variations are symmetrized. The impacts of several sources of systematic uncertainty are added in quadrature for each component. The categorization of sources of systematic uncertainties into experimental and theory modeling correspond to those used for the measured fiducial cross section.

Efficiency correction factor $C_{WW}$, defined as the ratio of the number of reconstructed $W^{\pm}W^{\pm}jj$ electroweak events in the signal region over the number of events generated in the fiducial phase space, in bins of the dijet invariant mass, $m_{jj}$. The numbers are shown with their statistical and systematic uncertainties added in quadrature. The $C_{WW}$ factors have been calculated with Sherpa v2.2.2. The last bin includes the overflow.

Efficiency correction factor $C_{WW}$, defined as the ratio of the number of reconstructed $W^{\pm}W^{\pm}jj$ electroweak events in the signal region over the number of events generated in the fiducial phase space, in bins of the dilepton invariant mass, $m_{ll}$. The numbers are shown with their statistical and systematic uncertainties added in quadrature. The $C_{WW}$ factors have been calculated with Sherpa v2.2.2. The last bin includes the overflow.

Measured and expected differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 50$< p_{T}^{4l} <$100 GeV

Measured and expected differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 100$< p_{T}^{4l} <$600 GeV

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.0$< y_{4l} <$0.4

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.4$< y_{4l} <$0.8

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 0.8$< y_{4l} <$1.2

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ in bin of 1.2$< y_{4l} <$2.5

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for MELA$<$1.4 bin

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for MELA$>$1.4 bin

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $\mu\mu\mu\mu$ events

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $eeee$ events

Measured and expected double differential cross-section $\text{d}\sigma / \text{d} m_{4l}$ as a function of $m_{4l}$ for $ee\mu\mu$ events

Systematic covariance matrix for the differential $m_{4l}$ distribution.

Statistical covariance matrix for the differential $m_{4l}$ distribution.

Background covariance matrix for the differential $m_{4l}$ distribution.

Systematic covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution.<br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Statistical covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Background covariance matrix for the differential $m_{4l}$-$p_{T}^{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0$< p_{T}^{4l} < $20 GeV bin with $m_{4l}$ values as listed in Table 2.<br> Bins labelled 10-16 correspond to the 20$< p_{T}^{4l} <$50 GeV bin with $m_{4l}$ values as listed in Table 3.<br> Bins labelled 17-23 correspond to the 50$< p_{T}^{4l} <$100 GeV bin with $m_{4l}$ values as listed in Table 4.<br> Bins labelled 24-30 correspond to the 100$< p_{T}^{4l} <$600 GeV bin with $m_{4l}$ values as listed in Table 5.

Systematic covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Statistical covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Background covariance matrix for the differential $m_{4l}$-$y_{4l}$ distribution. <br><br> Bins labelled 1-9 correspond to the 0.0$< y_{4l} < $0.4 bin with $m_{4l}$ values as listed in Table 6.<br> Bins labelled 10-18 correspond to the 0.4$< y_{4l} <$0.8 bin with $m_{4l}$ values as listed in Table 7.<br> Bins labelled 19-26 correspond to the 0.8$< y_{4l} <$1.2 bin with $m_{4l}$ values as listed in Table 8.<br> Bins labelled 27-34 correspond to the 1.2$< y_{4l} <$2.5 bin with $m_{4l}$ values as listed in Table 9.

Systematic covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Statistical covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Background covariance matrix for the differential $m_{4l}$-MELA distribution. <br><br> Bins labelled 1-7 correspond to the MELA$<$ 0.4 bin with $m_{4l}$ values as listed in Table 10.<br> Bins labelled 8-12 correspond to the MELA$>$ 0.4 bin with $m_{4l}$ values as listed in Table 11.

Systematic covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

Statistical covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

Background covariance matrix for the differential $m_{4l}$-lepton flavour distribution. <br><br> Bins labelled 1-9 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 12.<br> Bins labelled 10-18 correspond to $eeee$ events with $m_{4l}$ values as listed in Table 13.<br> Bins labelled 19-27 correspond to $\mu\mu\mu\mu$ events with $m_{4l}$ values as listed in Table 14.<br>

The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the stable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.

The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the metastable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.

For each gluino lifetime and mass in the signal samples, the lower boundary of the mass window in which at least $70\%$ of the reconstructed signal appears. The upper boundary for all mass windows is 5 TeV.

Acceptance and efficiency for a representative set of pair-produced gluino signal samples. The mass of the gluino ($m(\tilde{g})$), its lifetime ($\tau(\tilde{g})$) and the mass of the neutralino ($m(\tilde{\chi}^{0})$) are given in the first three columns. The Pythia 6.4.27 signal samples shown in this table are not reweighted to match the transverse momentum of the gluino-gluino system as simulated by MadGraph5_aMC@NLO. The acceptance is defined as the fraction of events passing a loose set of fiducial requirements. The full simulation efficiency (Full sim. $\epsilon$) is defined as the ratio of the number of reconstructed events, as expected by the full ATLAS simulation, and the number of events passing the fiducial requirements. The parameterised simulation efficiency (Param. sim. $\epsilon$) is defined as the ratio of the number of events estimated using a set of parametrised efficiencies (see auxiliary Figures 9,10,11,12) and the number of events passing the fiducial requirements alone.

The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the metastable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.

The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the stable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.

The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 10$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

The 95% CL upper limit on the cross-section as a function of mass for stable gluino $R$-hadrons, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

Observed 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.

Expected 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.

The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 1$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 3$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 30$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 50$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.

The relationship between generated and reconstructed mass for gluino $R$-hadrons. Above 1500 GeV, the reconstructed mass falls below the generated mass due to bias in the reconstructed momentum. The uncertainty on the reconstructed mass is dominated by momentum uncertainty. The black dots represent the reconstructed mass computed as the most probable value of a Gaussian fit function, with the error bars showing its statistical uncertainty, while the orange band is the full-width at half maximum of the reconstructed mass distribution.

The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The metastable event efficiencies are evaluated for different radial regions depending on the smallest radial distance, R, at which an R-hadron decays in the detector.

The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The stable event efficiencies are evaluated for samples in which no R-hadron decays within the detector.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$. The stable efficiency is evaluated for samples which do not decay within the detector. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.

Data and SM predictions in SRs for the $1lb\bar{b}$ analysis for $E_{\mathrm{T}}^{\mathrm{miss}}$ in SR1Lbb-Medium. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. Example SUSY models are superimposed for illustrative purposes.

Distributions of $m_{\gamma\gamma}$ before the final requirement on $m_{\gamma\gamma}$ in SR1Lyy-a. The expected contributions from both the peaking and non-peaking backgrounds are shown as stacked colored histograms. Two example SUSY models are superimposed for illustrative purposes.

Distributions of $m_{\gamma\gamma}$ before the final requirement on $m_{\gamma\gamma}$ in SR1Lyy-b. The expected contributions from both the peaking and non-peaking backgrounds are shown as stacked colored histograms. Two example SUSY models are superimposed for illustrative purposes.

Observed and predicted distributions for $m_{jj}$ in SRSS-j1. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. An example SUSY model is superimposed for illustrative purposes.

Observed and predicted distributions for $m_{T2}$ in SRSS-j23. All SRs selections but the one on the quantity shown are applied. All uncertainties are included in the uncertainty band. An example SUSY model is superimposed for illustrative purposes.

The observed exclusion for the $0lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $0lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed exclusion for the $1lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $1lb\bar{b}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $1l\gamma\gamma$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed exclusion for the $l^{\pm}l^{\pm}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The expected exclusion for the $l^{\pm}l^{\pm}$ channel. Experimental and theoretical systematic uncertainties are applied to background and signal samples and illustrated by the yellow band and the red dotted contour lines, respectively. The red dotted lines indicate the $\pm$ 1 standard-deviation variation on the observed exclusion limit due to theoretical uncertainties in the signal cross-section.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models with $m(\tilde{\chi}_{2}^{0}) - m(\tilde{\chi}_{1}^{0}) = 130$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $0lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $0lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1lb\bar{b}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $1l\gamma\gamma$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $l^{\pm}l^{\pm}$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The observed cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

The expected cross-section exclusion as a function of the $\tilde{\chi}_{1}^{\pm}$/$\tilde{\chi}_{2}^{0}$ masses for the $3l$ analysis for signal models assuming $m(\tilde{\chi}_{1}^{0}) = 0$ GeV.

Acceptance for $0lb\bar{b}$ SRHad-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $0lb\bar{b}$ SRHad-Low signal region.

Acceptance for $0lb\bar{b}$ SRHad-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $0lb\bar{b}$ SRHad-High signal region.

Upper cross section limits for the $0lb\bar{b}$ analysis.

Acceptance for $1lb\bar{b}$ SR1Lbb-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $1lb\bar{b}$ SR1Lbb-Medium signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-Medium signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $1lb\bar{b}$ SR1Lbb-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiency for $1lb\bar{b}$ SR1Lbb-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Upper cross section limits for the $1lb\bar{b}$ analysis.

Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-a. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $1l\gamma\gamma$ signal region SR1Lyy-a.

Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-b. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $1l\gamma\gamma$ signal region SR1Lyy-b.

Upper cross section limits for the $1l\gamma\gamma$ analysis.

Acceptance for $l^{\pm}l^{\pm}$ signal region SRSS-j1. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $l^{\pm}l^{\pm}$ signal region SRSS-j1. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $l^{\pm}l^{\pm}$ signal region SRSS-j23. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $l^{\pm}l^{\pm}$ signal region SRSS-j23. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-1J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-1J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-0Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-0Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ SFOS signal region SR3L-SFOS-0Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ SFOS signal region SR3L-SFOS-0Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-0J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-0J. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-1Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-1Ja. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Acceptance for $3L$ DFOS signal region SR3L-DFOS-1Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Efficiencies for $3L$ DFOS signal region SR3L-DFOS-1Jb. Note that the acceptance is relative to the total chargino-neutralino production cross section.

Upper cross section limits for the $l^{\pm}l^{\pm}$ analysis.

Upper cross section limits for the $3l$ analysis.

Event selection cutflow for SM background (pre-fit) and representative signal samples for the $0lb\bar{b}$ SR. The masses of next-lightest-neutralinos and LSPs are reported. Only statistical uncertainties are shown. The MC statistics for the signal samples is 50K and 44K events, respectively. Samples are produced with generator filters which selects $h \rightarrow b\bar{b}$ and $W \rightarrow qq'$ decays. ``All events" for SUSY scenarios represent the total number of signal events for the models considered taking into account the BR of $W \rightarrow qq'$ (0.674) and $h \rightarrow b\bar{b}$ (0.582).

Event selection cutflow for SM background (pre-fit) and representative signal samples for the $1lb\bar{b}$ channel. The masses of next-lightest-neutralinos and LSPs are reported. Only statistical uncertainties are shown. The MC statistics for the signal samples is 28K, 29K and 29K events, respectively. Samples are produced with generator filters which selects $h \rightarrow b\bar{b}$ and $W \rightarrow l \nu$ decays. ``All events" for SUSY scenarios represent the total number of signal events for the models considered taking into account the BR of $W \rightarrow l \nu$ (0.324) and $h \rightarrow b\bar{b}$ (0.582).

Event selection cutflow is presented for SM background (pre-fit) and three signal scenarios for the $1l\gamma\gamma$ channel SRs. The masses of next-lightest-neutralinos and LSPs are reported. The uncertainties only include statistical uncertainties. The MC statistics for the signal samples is 10K events in all cases. Samples are produced with generator filters which selects $h \rightarrow \gamma\gamma$ and $W \rightarrow l \nu$ decays. The data-driven-estimated non-peaking background is not evaluated at each stage of the selection, hence only the peaking background cutflow is presented.

Event selection cutflow is presented for one signal scenario for SRSS-j23. The model with next-to-lightest neutralino mass of 175 GeV and massless $\tilde{\chi}^{0}_{1})$ with 100% BR is considered. The MC statistics for the signal samples is 75K events. Samples are produced with a generator filter which selects events with at least two leptons with $p_{\mathrm{T}} > 7$ GeV. ``2SS leptons" indicates the selection of two same-sign electrons or muons as described in the text (Section 6.4).

Event selection cutflow is presented for one signal scenario for SRSS-j1. The model with next-to-lightest neutralino mass of 175 GeV and massless $\tilde{\chi}^{0}_{1})$ with 100% BR is considered. The MC statistics for the signal samples is 75K events. Samples are produced with a generator filter which selects events with at least two leptons with $p_{\mathrm{T}} > 7$ GeV. ``2SS leptons" indicates the selection of two same-sign electrons or muons as described in the text (Section 6.4).

Event selection cut-flow is presented for one signal scenario for each signal regions. The model with next-to-lightest neutralino mass of 150 GeV and massless LSP with 100 \% BR is considered. The MC statistics for the signal samples is 123K events. Samples are produced with a generator filter which selects events with at least two leptons with pT $>$ 7 GeV. ``3L+Trigger" indicates three-lepton and trigger requirements. ``Preselection" includes the veto on bjets, ETmiss above 20 GeV and invariant mass of the three leptons above 20 GeV.

Differential fiducial cross section of the Z boson $|y|$ in events with $Z(\rightarrow ll)\ge+1$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the leading b-jet $|y|$ in events with $Z(\rightarrow ll)\ge+1$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta \phi$ between Z boson and leading $b$-jet in events with $Z(\rightarrow ll)\ge+1$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta y$ between Z boson and leading $b$-jet in events with $Z(\rightarrow ll)\ge+1$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta R$ between Z boson and leading $b$-jet in events with $Z(\rightarrow ll)\ge+1$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta \phi$ between the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta y$ between the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $\Delta R$ between the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the invariant mass of the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the Z boson $p_{\text{T}}$ in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the $p_{\text{T}}$ of the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.

Differential fiducial cross section of the ratio between the $p_{\text{T}}$ and the invariant mass of the first two leading $b$-jets in events with $Z(\rightarrow ll)\ge+2$ b-jets. The statistical uncertainties and the individual components of systematic uncertainty are given in each bin. Statistical uncertainties are bin-to-bin uncorrelated.