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Several models of physics beyond the Standard Model predict the existence of dark photons, light neutral particles decaying into collimated leptons or light hadrons. This paper presents a search for long-lived dark photons produced from the decay of a Higgs boson or a heavy scalar boson and decaying into displaced collimated Standard Model fermions. The search uses data corresponding to an integrated luminosity of 36.1 fb$^{-1}$ collected in proton-proton collisions at $\sqrt{s} =$ 13 TeV recorded in 2015-2016 with the ATLAS detector at the Large Hadron Collider. The observed number of events is consistent with the expected background, and limits on the production cross section times branching fraction as a function of the proper decay length of the dark photon are reported. A cross section times branching fraction above 4 pb is excluded for a Higgs boson decaying into two dark photons for dark-photon decay lengths between 1.5 mm and 307 mm.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 125 GeV in the muon-muon final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 125 GeV in the muon-muon final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 800 GeV in the muon-muon final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 800 GeV in the hadron-hadron final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 2\gamma_d + X$ with $m_H$ = 800 GeV in the muon-hadron final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the muon-muon final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the muon-hadron final state.
Upper limits at 95% CL on the cross section times branching fraction for the process $H \to 4\gamma_d + X$ with $m_H$ = 800 GeV in the hadron-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-muon final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-muon final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-muon final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-muon final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the muon-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the muon-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 125 GeV in the hadron-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 2\gamma_d + X$ process with $m_H$ = 800 GeV in the hadron-hadron final state.
Extrapolated signal efficiencies as a function of proper decay length of the dark photon for the $H \to 4\gamma_d + X$ process with $m_H$ = 800 GeV in the hadron-hadron final state.
This paper presents measurements of $W^{\pm}Z$ production cross sections in $pp$ collisions at a centre-of-mass energy of 13 TeV. The data were collected in 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider, and correspond to an integrated luminosity of 36.1 fb$^{-1}$. The $W^{\pm}Z$ candidate events are reconstructed using leptonic decay modes of the gauge bosons into electrons and muons. The measured inclusive cross section in the detector fiducial region for a single leptonic decay mode is $\sigma_{W^\pm Z \rightarrow \ell^{'} \nu \ell \ell}^{\textrm{fid.}} = 63.7 \pm 1.0$ (stat.) $\pm 2.3$ (syst.) $\pm 1.4$ (lumi.) fb, reproduced by the next-to-next-to-leading-order Standard Model prediction of $61.5^{+1.4}_{-1.3}$ fb. Cross sections for $W^+Z$ and $W^-Z$ production and their ratio are presented as well as differential cross sections for several kinematic observables. An analysis of angular distributions of leptons from decays of $W$ and $Z$ bosons is performed for the first time in pair-produced events in hadronic collisions, and integrated helicity fractions in the detector fiducial region are measured for the $W$ and $Z$ bosons separately. Of particular interest, the longitudinal helicity fraction of pair-produced vector bosons is also measured.
The measured $W^{\pm}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured $W^{+}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured $W^{-}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured fiducial cross sections are corrected to the dressed level. The ratio of $C_{WZ}^{\textrm{dressed}}/C_{WZ}^{\textrm{Born}}$ factors presented in this table can be used to correct fiducial integrated cross sections from dressed to Born level.
Ratio of fiducial cross sections measured for $W^{+} Z$ and $W^{-} Z$ production.
Cross section extrapolated to total phase space and all W and Z boson decays. The first systematic uncertainty is the combined systematic uncertainty excluding theory and luminosity uncertainties, the second is the theory uncertainty and the third is the luminosity uncertainty.
The total cross section is measured at dressed level and can also be corrected to Born level use this acceptance correction factor.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
5: Measured helicity fractions in the fiducial phase space with Born level leptons, for $W^-$, $W^+Z$ and $W^{\pm}Z$ events. The total uncertainties on the measurements are reported.
A search for Higgs boson pair production in the $b\bar{b}b\bar{b}$ final state is carried out with up to 36.1 $\mathrm{fb}^{-1}$ of LHC proton--proton collision data collected at $\sqrt{s}$ = 13 TeV with the ATLAS detector in 2015 and 2016. Three benchmark signals are studied: a spin-2 graviton decaying into a Higgs boson pair, a scalar resonance decaying into a Higgs boson pair, and Standard Model non-resonant Higgs boson pair production. Two analyses are carried out, each implementing a particular technique for the event reconstruction that targets Higgs bosons reconstructed as pairs of jets or single boosted jets. The resonance mass range covered is 260--3000 GeV. The analyses are statistically combined and upper limits on the production cross section of Higgs boson pairs times branching ratio to $b\bar{b}b\bar{b}$ are set in each model. No significant excess is observed; the largest deviation of data over prediction is found at a mass of 280 GeV, corresponding to 2.3 standard deviations globally. The observed 95% confidence level upper limit on the non-resonant production is 13 times the Standard Model prediction.
A search for pair production of the supersymmetric partners of the Higgs boson (higgsinos $\tilde{H}$) in gauge-mediated scenarios is reported. Each higgsino is assumed to decay to a Higgs boson and a gravitino. Two complementary analyses, targeting high- and low-mass signals, are performed to maximize sensitivity. The two analyses utilize LHC $pp$ collision data at a center-of-mass energy $\sqrt{s} = 13$ TeV, the former with an integrated luminosity of 36.1 fb$^{-1}$ and the latter with 24.3 fb$^{-1}$, collected with the ATLAS detector in 2015 and 2016. The search is performed in events containing missing transverse momentum and several energetic jets, at least three of which must be identified as $b$-quark jets. No significant excess is found above the predicted background. Limits on the cross-section are set as a function of the mass of the $\tilde{H}$ in simplified models assuming production via mass-degenerate higgsinos decaying to a Higgs boson and a gravitino. Higgsinos with masses between 130 and 230 GeV and between 290 and 880 GeV are excluded at the 95% confidence level. Interpretations of the limits in terms of the branching ratio of the higgsino to a $Z$ boson or a Higgs boson are also presented, and a 45% branching ratio to a Higgs boson is excluded for $m_{\tilde{H}} \approx 400$ GeV.
Observed and expected 95% limits in the m(higgsino) vs BR(higgsino to higgs+gravitino) plane. The regions above the lines are excluded by the analyses.
Particle-level acceptance for the low-mass discovery signal regions low-SR-MET0-meff440 and low-SR-MET150-meff440, shown as a function of higgsino mass. The acceptance is defined as the fraction of signal events passing the particle-level event selection that emulates the detector-level selection. The acceptance calculation considers only those signal events where both higgsinos decay to Higgs bosons that subsequently both decay to b-quarks.
Particle-level acceptance for the high-mass discovery signal regions SR-4b-meff1-A-disc and SR-3b-meff3-A, shown as a function of higgsino mass. The acceptance is defined as the fraction of signal events passing the particle-level event selection that emulates the detector-level selection. The acceptance calculation considers only those signal events where both higgsinos decay to Higgs bosons that subsequently both decay to b-quarks.
A search for direct pair production of top squarks in final states with two tau leptons, $b$-jets, and missing transverse momentum is presented. The analysis is based on proton-proton collision data at $\sqrt{s} = 13$ TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$ recorded with the ATLAS detector at the Large Hadron Collider in 2015 and 2016. Two exclusive channels with either two hadronically decaying tau leptons or one hadronically and one leptonically decaying tau lepton are considered. No significant deviation from the Standard Model predictions is observed in the data. The analysis results are interpreted in terms of model-independent limits and used to derive exclusion limits on the masses of the top squark $\tilde t_1$ and the tau slepton $\tilde \tau_1$ in a simplified model of supersymmetry with a nearly massless gravitino. In this model, masses up to $m(\tilde t_1) = 1.16$ TeV and $m(\tilde \tau_1) = 1.00$ TeV are excluded at 95% confidence level.
Distribution of m<sub>T2</sub> in the signal region of the lep-had channel before the respective selection requirements, indicated by the vertical line and arrow, are applied. The stacked histograms show the various SM background contributions. The total background from events with a fake tau lepton in the lep-had channel (fake τ<sub>had</sub> + e /μ) is obtained from the fake-factor method. The hatched band indicates the total statistical and systematic uncertainty in the SM background. The error bars on the black data points represent the statistical uncertainty in the data yields. The dashed line shows the expected additional yields from a benchmark signal model. The rightmost bin includes the overflow.
Distributions of E<sub>T</sub><sup>miss</sup> in the signal region of the lep-had channel before the respective selection requirements, indicated by the vertical line and arrow, are applied. The stacked histograms show the various SM background contributions. The total background from events with a fake tau lepton in the lep-had channel (fake τ<sub>had</sub> + e /μ) is obtained from the fake-factor method. The hatched band indicates the total statistical and systematic uncertainty in the SM background. The error bars on the black data points represent the statistical uncertainty in the data yields. The dashed line shows the expected additional yields from a benchmark signal model. The rightmost bin includes the overflow.
Distributions of m<sub>T2</sub> in the signal region of the had-had channel before the respective selection requirements, indicated by the vertical line and arrow, are applied. Here, τ<sub>1</sub> (τ<sub>2</sub>) refers to the leading (subleading) τ<sub>had</sub>. The stacked histograms show the various SM background contributions. The hatched band indicates the total statistical and systematic uncertainty in the SM background. The error bars on the black data points represent the statistical uncertainty in the data yields. The dashed line shows the expected additional yields from a benchmark signal model. The rightmost bin includes the overflow.
Distributions of E<sub>T</sub><sup>miss</sup> in the signal region of the had-had channel before the respective selection requirements, indicated by the vertical line and arrow, are applied. Here, τ<sub>1</sub> (τ<sub>2</sub>) refers to the leading (subleading) τ<sub>had</sub>. The stacked histograms show the various SM background contributions. The hatched band indicates the total statistical and systematic uncertainty in the SM background. The error bars on the black data points represent the statistical uncertainty in the data yields. The dashed line shows the expected additional yields from a benchmark signal model. The rightmost bin includes the overflow.
<b>Exclusion contour (obs)</b> Expected (solid blue line) and observed (solid red line) exclusion-limit contours at 95% confidence level in the plane of top-squark and tau-slepton mass for the simplified model, obtained from the statistical combination of the lep-had and had-had channels, using full experimental and theory systematic uncertainties except the theoretical uncertainty in the signal cross section. The yellow band shows one-standard-deviation variations around the expected limit contour. The dotted red lines indicate how the observed limit moves when varying the signal cross section up or down by the corresponding uncertainty in the theoretical value. For comparison, the plot also shows the observed exclusion contour from the ATLAS Run-1 analysis as the area shaded in gray and the limit on the mass of the tau slepton (for a massless LSP) from the LEP experiments as a green band.
<b>Exclusion contour (exp)</b> Expected (solid blue line) and observed (solid red line) exclusion-limit contours at 95% confidence level in the plane of top-squark and tau-slepton mass for the simplified model, obtained from the statistical combination of the lep-had and had-had channels, using full experimental and theory systematic uncertainties except the theoretical uncertainty in the signal cross section. The yellow band shows one-standard-deviation variations around the expected limit contour. The dotted red lines indicate how the observed limit moves when varying the signal cross section up or down by the corresponding uncertainty in the theoretical value. For comparison, the plot also shows the observed exclusion contour from the ATLAS Run-1 analysis as the area shaded in gray and the limit on the mass of the tau slepton (for a massless LSP) from the LEP experiments as a green band.
Expected numbers of events from the SM background processes from the background fit and observed event yield in data for the signal regions in the lep-had and had-had channel, given for an integrated luminosity of 36.1 fb<sup>-1</sup>. The expected yield for the signal model with m(t̃<sub>1</sub>)=1100 GeV and m(τ̃<sub>1</sub>)=590 GeV is shown for comparison. The uncertainties include both the statistical and systematic uncertainties and are truncated at zero. The total background from events with a fake tau lepton in the lep-had channel (fake τ<sub>had</sub> + e /μ) is obtained from the fake-factor method.
Normalization factors obtained from the background-only fit. The normalization factor for tt̄ events with fake tau leptons is only relevant for the had-had channel.
Left to right: observed 95% CL upper limits on the visible cross section (⟨ A ε σ ⟩<sub>obs</sub><sup>95</sup>) and on the number of signal events (S<sub>obs</sub><sup>95</sup> ). The third column (S<sub>exp</sub><sup>95</sup>) shows the expected 95% CL upper limit on the number of signal events, given the expected number (and ± 1σ excursions on the expectation) of background events. The last two columns indicate the CL<sub>b</sub> value, i.e. the confidence level observed for the background-only hypothesis, and the discovery p-value (p(s = 0)) and the corresponding significance (Z).
Signal acceptance A in percent for the signal region of the lep-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency ε is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A · ε · N<sub>signal</sub>, where N<sub>signal</sub> = σ · 36.1 fb<sup>-1</sup> and σ is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.
Signal acceptance A in percent for the signal region of the had-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency ε is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A · ε · N<sub>signal</sub>, where N<sub>signal</sub> = σ · 36.1 fb<sup>-1</sup> and σ is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.
Reconstruction efficiency ε in percent for the signal region of the lep-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency ε is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A · ε · N<sub>signal</sub>, where N<sub>signal</sub> = σ · 36.1 fb<sup>-1</sup> and σ is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.
Reconstruction efficiency ε in percent for the signal region of the had-had channel. The signal acceptance A is determined from a generator-level implementation of the analysis. It includes the branching ratios for the decays of the tau leptons. The selection efficiency ε is calculated using reconstructed objects, i.e. including all detector effects, and defined such that the event yields in the signal regions are given by the product A · ε · N<sub>signal</sub>, where N<sub>signal</sub> = σ · 36.1 fb<sup>-1</sup> and σ is the theoretical prediction for the production cross section of top-squark pairs with the mass given on the horizontal axis.
Upper exclusion limits at 95% confidence level on the observed cross section σ<sub>obs</sub><sup>95</sup> for the simplified signal model as function of the top-squark mass m(t̃<sub>1</sub>) and tau-slepton mass m(τ̃<sub>1</sub>) in GeV.
Number of events passing each selection step of SR LH (lep-had channel) before (raw number) and after applying event-based weights (weighted) for signal point m(t̃<sub>1</sub>) = 1100 GeV, m(τ̃<sub>1</sub>) = 590 GeV. The preselection step here does not include the requirements on the tau p<sub>T</sub> and the number of bjets.
Number of events passing each selection step of SR HH (had-had channel) before (raw number) and after applying event-based weights (weighted) for signal point m(t̃<sub>1</sub>) = 1100 GeV, m(τ̃<sub>1</sub>) = 590 GeV. The preselection step here does not include the requirements on the tau p<sub>T</sub> and the number of bjets. Here, τ<sub>1</sub> (τ<sub>2</sub>) refers to the leading (subleading) τ<sub>had</sub>.
A search is presented for photonic signatures, motivated by generalized models of gauge-mediated supersymmetry breaking. This search makes use of proton-proton collision data at $\sqrt{s}$ = 13 TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$ recorded by the ATLAS detector at the LHC, and it explores models dominated by both strong and electroweak production of supersymmetric partner states. Experimental signatures incorporating an isolated photon and significant missing transverse momentum are explored. These signatures include events with an additional photon or additional jet activity not associated with any specific underlying quark flavor. No significant excess of events is observed above the Standard Model prediction, and 95% confidence-level upper limits of between 0.083 fb and 0.32 fb are set on the visible cross section of contributions from physics beyond the Standard Model. These results are interpreted in terms of lower limits on the masses of gluinos, squarks, and gauginos in the context of generalized models of gauge-mediated supersymmetry, which reach as high as 2.3 TeV for strongly produced and 1.3 TeV for weakly produced supersymmetric partner pairs.
Distribution of the total visible transverse energy $H_{\mathrm{T}}$ for selected diphoton events, after requiring $\Delta\phi_{\mathrm{min}} (\mathrm{jet}, E_{\mathrm{T}}^{\mathrm{miss}}) > 0.5$ but before application of a requirement on $E_{\mathrm{T}}^{\mathrm{miss}}$ and $\Delta\phi_{\mathrm{min}} (\gamma, E_{\mathrm{T}}^{\mathrm{miss}})$ ($\gamma\gamma$ pre-selection). Also shown are the expected $H_{\mathrm{T}}$ distributions of contributing SM processes as well as those for two points each in the parameter spaces of the gluino-bino and wino-bino GGM models (mass values in GeV). Events outside the range of the displayed region are included in the highest-value bin.
Distribution of $R_{\mathrm{T}}^{4}$ for the sample satisfying all $\mathrm{SR}^{\gamma j}_{L}$ selection criteria except the $R_{\mathrm{T}}^{4}$ requirement itself, but with a relaxed requirement of $E_{\mathrm{T}}^{\mathrm{miss}} > 100$ GeV. Also shown are the expected $R_{\mathrm{T}}^{4}$ distributions of contributing SM processes as well as those for two 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, while the values of the $\tilde{\chi}^{0}_{1}$ mass arise from the choices $\mu = 400$ and $\mu = 600$ GeV, combined with the constraint that the branching fraction of $\tilde{\chi}^{0}_{1} \to \gamma\tilde{G}$ be 50%. The vertical dashed line and left-pointing arrow shows the region of the $R_{\mathrm{T}}^{4}$ observable selected for inclusion in $\mathrm{SR}^{\gamma j}_{L}$. Uncertainties are shown as hatched bands for the various expected sources of SM background (statistical only) and as error bars for data. The lower panels show the ratio of the data to the SM prediction.
Comparisons between expected and observed content of the validation and signal regions for the diphoton analysis. The uncertainties in the numbers of expected 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 $\mathrm{SR}^{\gamma\gamma}_{W-L}$ 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$^{-1}$.
A search for supersymmetry in events with large missing transverse momentum, jets, and at least one hadronically decaying $\tau$-lepton is presented. Two exclusive final states with either exactly one or at least two $\tau$-leptons are considered. The analysis is based on proton-proton collisions at $\sqrt{s}$ = 13 TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$ delivered by the Large Hadron Collider and recorded by the ATLAS detector in 2015 and 2016. No significant excess is observed over the Standard Model expectation. At 95% confidence level, model-independent upper limits on the cross section are set and exclusion limits are provided for two signal scenarios: a simplified model of gluino pair production with $\tau$-rich cascade decays, and a model with gauge-mediated supersymmetry breaking (GMSB). In the simplified model, gluino masses up to 2000 GeV are excluded for low values of the mass of the lightest supersymmetric particle (LSP), while LSP masses up to 1000 GeV are excluded for gluino masses around 1400 GeV. In the GMSB model, values of the supersymmetry-breaking scale are excluded below 110 TeV for all values of $\tan\beta$ in the range $2 \leq \tan\beta \leq 60$, and below 120 TeV for $\tan\beta>30$.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
A search is conducted for the electroweak pair production of a chargino and a neutralino $pp \rightarrow \tilde\chi^\pm_1 \tilde\chi^0_2$, where the chargino decays into the lightest neutralino and a $W$ boson, $\tilde\chi^\pm_1 \rightarrow \tilde\chi^0_1 W^{\pm}$, while the neutralino decays into the lightest neutralino and a Standard Model-like 125 GeV Higgs boson, $\tilde\chi^0_2 \rightarrow \tilde\chi^0_1 h$. Fully hadronic, semileptonic, diphoton, and multilepton (electrons, muons) final states with missing transverse momentum are considered in this search. Higgs bosons in the final state are identified by either two jets originating from bottom quarks ($h \rightarrow b\bar{b}$), two photons ($h \rightarrow \gamma\gamma$), or leptons from the decay modes $h \rightarrow WW$, $h \rightarrow ZZ$ or $h \rightarrow \tau \tau$. The analysis is based on 36.1 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data recorded by the ATLAS detector at the Large Hadron Collider. Observations are consistent with the Standard Model expectations, and 95% confidence-level limits of up to 680 GeV in $\tilde\chi^\pm_1/\tilde\chi^0_2$ mass are set in the context of a simplified supersymmetric model.
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.
Acceptance for $0lb\bar{b}$ SRHad-Low signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.
Acceptance for $0lb\bar{b}$ SRHad-High signal region. Note that the acceptance is relative to the total chargino-neutralino production cross section.
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.
Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-a. Note that the acceptance is relative to the total chargino-neutralino production cross section.
Acceptance for $1l\gamma\gamma$ signal region SR1Lyy-b. Note that the acceptance is relative to the total chargino-neutralino production cross section.
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.
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.
A search for electroweak production of supersymmetric particles in scenarios with compressed mass spectra in final states with two low-momentum leptons and missing transverse momentum is presented. This search uses proton-proton collision data recorded by the ATLAS detector at the Large Hadron Collider in 2015-2016, corresponding to 36.1 fb$^{-1}$ of integrated luminosity at $\sqrt{s}=13$ TeV. Events with same-flavor pairs of electrons or muons with opposite electric charge are selected. The data are found to be consistent with the Standard Model prediction. Results are interpreted using simplified models of R-parity-conserving supersymmetry in which there is a small mass difference between the masses of the produced supersymmetric particles and the lightest neutralino. Exclusion limits at 95% confidence level are set on next-to-lightest neutralino masses of up to 145 GeV for Higgsino production and 175 GeV for wino production, and slepton masses of up to 190 GeV for pair production of sleptons. In the compressed mass regime, the exclusion limits extend down to mass splittings of 2.5 GeV for Higgsino production, 2 GeV for wino production, and 1 GeV for slepton production. The results are also interpreted in the context of a radiatively-driven natural supersymmetry model with non-universal Higgs boson masses.
<b>Kinematics 1</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.
<b>Kinematics 1</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.
<b>Kinematics 2</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ simplified models. Orange arrows in the Data/SM panel indicate values that are beyond the y-axis range.
<b>Kinematics 2</b> Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive electroweakino SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ 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 SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ 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 SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ 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 SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ 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 SRℓℓ-m<sub>ℓℓ</sub> [1, 60] (top) and slepton SRℓℓ-m<sub>T2</sub><sup>100</sup> [100, ∞] (bottom) signal regions. The arrow in the E<sub>T</sub><sup>miss</sup>/H<sub>T</sub><sup>lep</sup> variables indicates the minimum value of the requirement imposed in the final SR selection. The m<sub>ℓℓ</sub> and m<sub>T2</sub> 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 H̃ and slepton ℓ̃ 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 pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 1 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 1 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 1 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 2 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 2 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 2 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 2 (obs)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with pm1σ<sub>theory</sub> (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<sub>ℓℓ</sub> spectrum is used to derive the limit, which is projected into the Δ m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) vs. m(χ̃<sub>2</sub><sup>0</sup>) plane. For Higgsino production, the chargino χ̃<sub>1</sub><sup>pm</sup> mass is assumed to be halfway between the two lightest neutralino masses, while m(χ̃<sub>2</sub><sup>0</sup>) = m(χ̃<sub>1</sub><sup>pm</sup>) 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 2ℓ+3ℓ combination of ATLAS Run 1 [41,42].
<b>Exclusion 3 (exp)</b> Expected 95% CL exclusion sensitivity (blue dashed line) with ± 1 σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with ± 1 σ<sub>theory</sub> (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m<sub>T2</sub><sup>100</sup> spectrum is used to derive the limit, which is projected into the Δ m(ℓ̃, χ̃<sub>1</sub><sup>0</sup>) vs. m(ℓ̃) plane. Slepton ℓ̃ refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>). The gray region is the ẽ<sub>R</sub> 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 ± 1 σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with ± 1 σ<sub>theory</sub> (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m<sub>T2</sub><sup>100</sup> spectrum is used to derive the limit, which is projected into the Δ m(ℓ̃, χ̃<sub>1</sub><sup>0</sup>) vs. m(ℓ̃) plane. Slepton ℓ̃ refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>). The gray region is the ẽ<sub>R</sub> 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 ± 1 σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with ± 1 σ<sub>theory</sub> (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m<sub>T2</sub><sup>100</sup> spectrum is used to derive the limit, which is projected into the Δ m(ℓ̃, χ̃<sub>1</sub><sup>0</sup>) vs. m(ℓ̃) plane. Slepton ℓ̃ refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>). The gray region is the ẽ<sub>R</sub> 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 ± 1 σ<sub>exp</sub> (yellow band) from experimental systematic uncertainties and observed limits (red solid line) with ± 1 σ<sub>theory</sub> (dotted red line) from signal cross-section uncertainties for simplified models of direct slepton production. A fit of slepton signals to the m<sub>T2</sub><sup>100</sup> spectrum is used to derive the limit, which is projected into the Δ m(ℓ̃, χ̃<sub>1</sub><sup>0</sup>) vs. m(ℓ̃) plane. Slepton ℓ̃ refers to the scalar partners of left- and right-handed electrons and muons, which are assumed to be fourfold mass degenerate m(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>). The gray region is the ẽ<sub>R</sub> 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<sub>obs</sub>) and expected (N<sub>exp</sub>) 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 (⟨εσ⟩<sub>obs</sub><sup>95</sup>) and on the number of signal events (S<sub>obs</sub><sup>95</sup>). The fifth column (S<sub>exp</sub><sup>95</sup>) 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 σ 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<sub>obs</sub>) and expected (N<sub>exp</sub>) 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 (⟨εσ⟩<sub>obs</sub><sup>95</sup>) and on the number of signal events (S<sub>obs</sub><sup>95</sup>). The fifth column (S<sub>exp</sub><sup>95</sup>) 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 σ 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 χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 1</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 2</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 2</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 3</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 3</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 4</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 4</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 5</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 5</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 6</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 6</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 7</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 7</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>±</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 8</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 8</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 9</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 9</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 10</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 10</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 11</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 11</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 12</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 12</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 13</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 13</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 14</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 14</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 15</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 15</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 16</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 16</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 17</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 17</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 18</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 18</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 19</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 19</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 20</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 20</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 21</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 21</b> Truth acceptances for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 22</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 22</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 23</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 23</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 24</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 24</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 25</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 25</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 26</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 26</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 27</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 27</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 28</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 28</b> Truth acceptances for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>4</sup>.
<b>Acceptances 29</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 29</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 30</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 30</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 31</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 31</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 32</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 32</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 33</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 33</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 34</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Acceptances 34</b> Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Numbers overlaid on the mass planes are the acceptance × 10<sup>3</sup>.
<b>Efficiencies 1</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 1</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 2</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 2</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 3</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 3</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 4</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 4</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 5</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 5</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 6</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 6</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 7</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 7</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 8</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 8</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 9</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 9</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 10</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 10</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 11</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 11</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 12</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 12</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 13</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 13</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 14</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 14</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 15</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 15</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 16</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 16</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 17</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 17</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 18</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 18</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 19</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 19</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 20</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 20</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 21</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 21</b> Efficiencies for the Higgsino χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 22</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 22</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 23</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 23</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 24</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 24</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 25</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 25</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 26</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 26</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 27</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 27</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 28</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 28</b> Efficiencies for the Higgsino χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> production process in the inclusive SRℓℓ-m<sub>ℓℓ</sub> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 29</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 29</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 30</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 30</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 31</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 31</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 32</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 32</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 33</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 33</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 34</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> for the inclusive signal region under study.
<b>Efficiencies 34</b> Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Efficiencies are computed as the ``acceptance times efficiency" divided by the acceptance. The black line indicates the maximum allowed value of Δ m or m<sub>T2</sub> 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(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>).
<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(ẽ<sub>L</sub>) = m(ẽ<sub>R</sub>) = m(μ̃<sub>L</sub>) = m(μ̃<sub>R</sub>).
<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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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 H̃ and slepton ℓ̃ 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(ẽ<sub>L,R</sub>) = m(μ̃<sub>L,R</sub>).
<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(ẽ<sub>L,R</sub>) = m(μ̃<sub>L,R</sub>).
<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(ẽ<sub>L,R</sub>) = m(μ̃<sub>L,R</sub>).
<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(ẽ<sub>L,R</sub>) = m(μ̃<sub>L,R</sub>).
<b>Upper Limits 8</b> Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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<sub>1/2</sub> 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 ± 1σ and ± 2σ 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 χ̃<sub>2</sub><sup>0</sup> and χ̃<sub>1</sub><sup>0</sup> masses for different values of m<sub>1/2</sub>. A fit of signals to the m<sub>ℓℓ</sub> 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 σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Upper Limits 11</b> Upper limits on observed (expected) Higgsino simplified model signal cross section σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Upper Limits 12</b> Upper limits on observed (expected) wino--bino simplified model signal cross section σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Upper Limits 12</b> Upper limits on observed (expected) wino--bino simplified model signal cross section σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Upper Limits 13</b> Upper limits on observed (expected) slepton simplified model signal cross section σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Upper Limits 13</b> Upper limits on observed (expected) slepton simplified model signal cross section σ<sub>obs (exp)</sub><sup>95</sup> and signal strength σ<sub>obs (exp)</sub><sup>95</sup> / σ<sub>theory</sub>.
<b>Cutflow 4</b> Event counts for Higgsino H and slepton ℓ signals after sequential selections for the inclusive SRℓℓ-m<sub>ℓℓ</sub> and SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Weighted events are normalised to mathcalL = 36.1 fb<sup>-1</sup> and the inclusive cross section σ, while raw MC events are also shown. The generator filter with efficiency ε<sub>filt</sub> applied to the Higgsino signal requires truth E<sub>T</sub><sup>miss</sup> > 50 GeV and at least 2 leptons with p<sub>T</sub> > 3 GeV, while only the E<sub>T</sub><sup>miss</sup> > 50 GeV requirement is applied to the slepton signal. The mathcalB refers to the branching ratio Z<sup>(*)</sup> → ℓ<sup>+</sup>ℓ<sup>-</sup> 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 ℓ signals after sequential selections for the inclusive SRℓℓ-m<sub>ℓℓ</sub> and SRℓℓ-m<sub>T2</sub><sup>100</sup> regions. Weighted events are normalised to mathcalL = 36.1 fb<sup>-1</sup> and the inclusive cross section σ, while raw MC events are also shown. The generator filter with efficiency ε<sub>filt</sub> applied to the Higgsino signal requires truth E<sub>T</sub><sup>miss</sup> > 50 GeV and at least 2 leptons with p<sub>T</sub> > 3 GeV, while only the E<sub>T</sub><sup>miss</sup> > 50 GeV requirement is applied to the slepton signal. The mathcalB refers to the branching ratio Z<sup>(*)</sup> → ℓ<sup>+</sup>ℓ<sup>-</sup> 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 χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 5</b> Event counts for the χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>+</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 6</b> Event counts for the χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 6</b> Event counts for the χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>-</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 7</b> Event counts for the χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 7</b> Event counts for the χ̃<sub>2</sub><sup>0</sup>χ̃<sub>1</sub><sup>0</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 8</b> Event counts for the χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
<b>Cutflow 8</b> Event counts for the χ̃<sub>1</sub><sup>+</sup>χ̃<sub>1</sub><sup>-</sup> process of the Higgsino m(χ̃<sub>2</sub><sup>0</sup>, χ̃<sub>1</sub><sup>0</sup>) = (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<sup>-1</sup> and the raw Monte Carlo events are also displayed.
The results of a search for gluino and squark pair production with the pairs decaying via the lightest charginos into a final state consisting of two $W$ bosons, the lightest neutralinos ($\tilde\chi^0_1$), and quarks, are presented. The signal is characterised by the presence of a single charged lepton ($e^{\pm}$ or $\mu^{\pm}$) from a $W$ boson decay, jets, and missing transverse momentum. The analysis is performed using 139 fb$^{-1}$ of proton-proton collision data taken at a centre-of-mass energy $\sqrt{s}=13$ TeV delivered by the Large Hadron Collider and recorded by the ATLAS experiment. No statistically significant excess of events above the Standard Model expectation is found. Limits are set on the direct production of squarks and gluinos in simplified models. Masses of gluino (squark) up to 2.2 TeV (1.4 TeV) are excluded at 95% confidence level for a light $\tilde\chi^0_1$.
Post-fit $m_{T}$ distribution in the SR 2J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 2J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 2J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 2J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 4J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 4J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 4J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 4J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 6J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 6J b-veto N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 6J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{T}$ distribution in the SR 6J b-tag N-1 region. N-1 refers to all cuts except for the requirement on $m_T$ being applied. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{eff}$ distribution in the 6J b-veto signal region. Uncertainties include statistical and systematic uncertainties. Including exemplary signal points. The value 9999 is used as a placeholder for infinity.
Post-fit $m_{eff}$ distribution in the 2J b-tag validation region. Uncertainties include statistical and systematic uncertainties. The value 9999 is used as a placeholder for infinity.
Signal acceptance in SR2J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery high region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery low region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx discovery region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery high region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery low region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx discovery region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx discovery region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx discovery region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin4 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin4 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery high region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery low region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin4 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin4 region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J discovery high region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery high region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J discovery low region for gluino production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery low region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx discovery region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J discovery high region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J discovery low region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx discovery region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx discovery region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx discovery region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin4 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin4 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J discovery high region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J discovery low region for gluino production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin4 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin1 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin2 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin3 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin4 region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery high region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J discovery high region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery low region for gluino production one-step variable-x simplified models
Signal acceptance in SR2J discovery low region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx discovery region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery high region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery low region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx discovery region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx discovery region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx discovery region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin4 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Veto bin4 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery high region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J discovery low region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR6J b-Tag bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin4 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin1 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin2 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin3 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin4 region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J discovery high region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery high region for squark production one-step variable-x simplified models
Signal acceptance in SR6J discovery low region for squark production one-step x = 1/2 simplified models
Signal acceptance in SR2J discovery low region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx discovery region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J discovery high region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR2J discovery low region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx discovery region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx discovery region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jhx b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx discovery region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin4 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Tag bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR4Jlx b-Veto bin3 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Veto bin4 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin1 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J discovery high region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin2 region for squark production one-step variable-x simplified models
Signal acceptance in SR6J discovery low region for squark production one-step variable-x simplified models
Signal acceptance in SR6J b-Tag bin3 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J b-Tag bin4 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J b-Veto bin1 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J b-Veto bin2 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J b-Veto bin3 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J b-Veto bin4 region for squark production one-step variable-x simplified models
Signal efficiency in SR2J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J discovery high region for squark production one-step variable-x simplified models
Signal efficiency in SR2J discovery high region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal acceptance in SR6J discovery low region for squark production one-step variable-x simplified models
Signal efficiency in SR2J discovery low region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for gluino production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for gluino production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for squark production one-step x = 1/2 simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery high region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR2J discovery low region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx discovery region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jhx b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx discovery region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR4Jlx b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Tag bin4 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin1 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin2 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin3 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J b-Veto bin4 region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery high region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
Signal efficiency in SR6J discovery low region for squark production one-step variable-x simplified models. The -1 value indicates the truth yields for this point is 0 but the reco yields is not 0
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