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This paper presents a measurement of the polarisation of $\tau$ leptons produced in $Z/\gamma^{*}\rightarrow\tau\tau$ decays which is performed with a dataset of proton-proton collisions at $\sqrt{s}=8$ TeV, corresponding to an integrated luminosity of 20.2 fb$^{-1}$ recorded with the ATLAS detector at the LHC in 2012. The $Z/\gamma^{*}\rightarrow\tau\tau$ decays are reconstructed from a hadronically decaying $\tau$ lepton with a single charged particle in the final state, accompanied by a $\tau$ lepton that decays leptonically. The $\tau$ polarisation is inferred from the relative fraction of energy carried by charged and neutral hadrons in the hadronic $\tau$ decays. The polarisation is measured in a fiducial region that corresponds to the kinematic region accessible to this analysis. The $\tau$ polarisation extracted over the full phase space within the $Z/\gamma^{*}$ mass range of 66$ < m_{Z/\gamma^{*}} < $ 116 GeV is found to be $P_{\tau} =-0.14 \pm 0.02 (\text{stat}) \pm 0.04 (\text{syst})$. It is in agreement with the Standard Model prediction of $P_{\tau} =-0.1517 \pm 0.0019$, which is obtained from the ALPGEN event generator interfaced with the PYTHIA 6 parton shower modelling and the TAUOLA $\tau$ decay library.
The measured polarisation values (fiducial and extracted to full phase-space) for electron-hadron and muon-hadron channels as well as combined.
Definition of fiducial region of the analysis. The requirements are applied at stable-particle level.
Impact of individual systematic uncertainties on full and fiducial polarisation.
Impact of individual systematic uncertainties on full and fiducial polarisation in e-had channel.
Impact of individual systematic uncertainties on full and fiducial polarisation in mu-had channel.
Selection efficiency for signal events in the e-had channel. The last bin is for overflow.
Selection efficiency for signal events in the mu-had channel. The last bin is for overflow.
Selection efficiency for signal events in the e-had channel for events in the fiducial region only. The last bin is for overflow.
Selection efficiency for signal events in the mu-had channel for events in the fiducial region only. The last bin is for overflow.
A search for neutral heavy resonances is performed in the $WW\to e\nu\mu\nu$ decay channel using $pp$ collision data corresponding to an integrated luminosity of 36.1 fb$^{-1}$, collected at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. No evidence of such heavy resonances is found. In the search for production via the quark--antiquark annihilation or gluon--gluon fusion process, upper limits on $\sigma_X \times B(X \to WW)$ as a function of the resonance mass are obtained in the mass range between 200 GeV and up to 5 TeV for various benchmark models: a Higgs-like scalar in different width scenarios, a two-Higgs-doublet model, a heavy vector triplet model, and a warped extra dimensions model. In the vector-boson fusion process, constraints are also obtained on these resonances, as well as on a Higgs boson in the Georgi--Machacek model and a heavy tensor particle coupling only to gauge bosons.
Figure 1, left, subfigure a, Acceptance times efficiency as a function of signal mass for the ggF or qqA production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Figure 1, right, subfigure b, Acceptance times efficiency as a function of signal mass for the VBF production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Figure 2, left, subfigure a, Transverse mass distribution in the ggF top-quark control regions. For NWA signals, the "0" value means lack of statistics.
Figure 2, right, subfigure b, Transverse mass distribution in the VBF top-quark control regions. For NWA signals, the "0" value means lack of statistics.
Figure 3, left, subfigure a, Transverse mass distribution in the quasi-inclusive ggF WW control regions. The "0" value means lack of statistics.
Figure 3, right, subfigure b, Transverse mass distribution in the quasi-inclusive VBF1Jet WW control regions. The "0" value means lack of statistics.
Figure 4, top left, subfigure a, post-fit distributions of the transverse mass mT in the ggF Signal region. The "0" value means lack of statistics.
Figure 4, top right, subfigure b, post-fit distributions of the transverse mass mT in the VBF1Jet Signal region. The "0" value means lack of statistics.
Figure 4, bottom, subfigure c, post-fit distributions of the transverse mass mT in the VBF2Jet Signal region. The "0" value means lack of statistics.
Figure 5, left, subfigur a, Upper limits at 95% CL on the Higgs boson production cross section times branching fraction in the evmuv channel, for ggF signals with narrow-width lineshape as a function of the signal mass.
Figure 5, right, subfigure b, Upper limits at 95% CL on the Higgs boson production cross section times branching fraction in the evmuv channel, for VBF signals with narrow-width lineshape as a function of the signal mass.
Figure 6, Upper limits at 95% CL on the total ggF and VBF Higgs boson production cross section times branching fraction in the evmuv channel, for a signal at 800 GeV as a function of the ggF cross section divided by the combined ggF and VBF production cross section.
Figure 9, top left, subfigure a, Upper limits at 95% CL on the Higgs boson production cross section times branching fraction for a signal with a width of 15% of the mass for the ggF production.
Figure 9, top right, subfigure b, Upper limits at 95% CL on the Higgs boson production cross section times branching fraction for a signal with a width of 15% of the mass for the VBF production.
Figure 10, left, subfigure a, Upper limits at 95% CL on the resonance production cross section times branching fraction for a GM signal.
Figure 11, left, subfigure a, Upper limits at 95% CL on the resonance production cross section times branching fraction for a HVT qqA signal.
Figure 11, right, subfigure b, Upper limits at 95% CL on the resonance production cross section times branching fraction for a HVT VBF signal.
Figure 12, bottom, subfigure c, Upper limits at 95% CL on the resonance production cross section times branching fraction for an EML spin-2 VBF signal.
Figure 12, top right, subfigure b, Upper limits at 95% CL on the resonance production cross section times branching fraction for a graviton signal with coupling parameter equals 0.5
Figure 12, top left, subfigure a, Upper limits at 95% CL on the resonance production cross section times branching fraction for a graviton signal with coupling parameter equals 1.0
Auxiliary material Figure 2e, Event selection efficiencies in the VBF2J event categories as a function of the signal mass for the ggF or qqA production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 2f, Event selection efficiencies in the VBF2J event categories for different kinds of VBF signals production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 2c, Event selection efficiencies in the VBF1J event categories as a function of the signal mass for the ggF or qqA production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 2d, Event selection efficiencies in the VBF1J event categories for different kinds of VBF signals production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 2a, Event selection efficiencies in the ggF event categories as a function of the signal mass for the ggF or qqA production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 2b, Event selection efficiencies in the ggF event categories for different kinds of VBF signals production. The "0" efficiency mass point means there's no such signal sample for the corresponding model.
Auxiliary material Figure 6a, Upper limits at 95% CL on the Higgs production cross section times branching fraction in the evmuv channel, for a signal with a width of 5% of the mass for the ggF production.
Auxiliary material Figure 6c, Upper limits at 95% CL on the Higgs production cross section times branching fraction in the evmuv channel, for a signal with a width of 10% of the mass for the ggF production.
Auxiliary material Figure 6b, Upper limits at 95% CL on the Higgs production cross section times branching fraction in the evmuv channel, for a signal with a width of 5% of the mass for the VBF production.
Auxiliary material Figure 6d, Upper limits at 95% CL on the Higgs production cross section times branching fraction in the evmuv channel, for a signal with a width of 10% of the mass for the VBF production.
Auxiliary material Figure 7b, Upper limits at 95% CL on the total ggF and VBF Higgs production cross section times branching fraction for a signal at 1.8 TeV as a function of the ggF cross section over the combined ggF and VBF production cross section.
Auxiliary material Figure 7a, Upper limits at 95% CL on the total ggF and VBF Higgs production cross section times branching fraction for a signal at 200 GeV as a function of the ggF cross section over the combined ggF and VBF production cross section.
Inclusive and differential fiducial cross sections of Higgs boson production in proton-proton collisions are measured in the $H \rightarrow ZZ^* \rightarrow 4\ell$ decay channel. The proton-proton collision data were produced at the Large Hadron Collider at a centre-of-mass energy of 13 TeV and recorded by the ATLAS detector in 2015 and 2016, corresponding to an integrated luminosity of 36.1 fb$^{-1}$. The inclusive fiducial cross section in the $H \rightarrow ZZ^* \rightarrow 4\ell$ decay channel is measured to be 3.62 $\pm$ 0.50 (stat) $^{+0.25}_{-0.20}$ (sys) fb, in agreement with the Standard Model prediction of 2.91 $\pm$ 0.13 fb. The cross section is also extrapolated to the total phase space including all Standard Model Higgs boson decays. Several differential fiducial cross sections are measured for observables sensitive to the Higgs boson production and decay, including kinematic distributions of jets produced in association with the Higgs boson. Good agreement is found between data and Standard Model predictions. The results are used to put constraints on anomalous Higgs boson interactions with Standard Model particles, using the pseudo-observable extension to the kappa-framework.
Measured differential fiducial cross sections in Higgs transverse momentum (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in Higgs rapidity (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in invariant mass of the subleading lepton pair (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in cos(theta*) (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in number of jets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in transverse momentum of the leading jet (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in dijet invariant mass (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in dijet angle phi (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in m12 vs m34 (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in Higgs transverse momentum for 0 jet events (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in Higgs transverse momentum for 1-jet events (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in Higgs transverse momentum for events with 2 or more jets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in dijet angle eta (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in invariant mass of the leading lepton pair (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured differential fiducial cross sections in number of bjets (second column). The given uncertainty is split into statistical (first) and systematic components (second). Values without uncertainties are 95% CL limits in the absence of signal events. The third column gives the theoretical prediction of Higgs production in the fiducial volume using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty. All predictions were normalized to the best available inclusive Higgs production cross sections at the time of the publication.
Measured fiducial cross sections (second column). The given uncertainty is split into statistical (first) and systematic components (second). The third column gives the theoretical prediction of Higgs production in the fiducial volume using the best available inclusive Higgs production cross sections at the time of the publication. The acceptance to estimate the cross section in the fiducial volume is calculated using Powheg NNLOPS for the ggF process, Powheg for the VBF and the VH processes, and Madgraph5_aMC@NLO for the ttH and bbH processes. The uncertainty includes PDF, scale, and branching fraction uncertainty.
A search for heavy resonances decaying into a Higgs boson ($H$) and a new particle ($X$) is reported, utilizing 36.1 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} =$ 13 TeV collected during 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. The particle $X$ is assumed to decay to a pair of light quarks, and the fully hadronic final state $XH \rightarrow q\bar q'b\bar b$ is analysed. The search considers the regime of high $XH$ resonance masses, where the $X$ and $H$ bosons are both highly Lorentz-boosted and are each reconstructed using a single jet with large radius parameter. A two-dimensional phase space of $XH$ mass versus $X$ mass is scanned for evidence of a signal, over a range of $XH$ resonance mass values between 1 TeV and 4 TeV, and for $X$ particles with masses from 50 GeV to 1000 GeV. All search results are consistent with the expectations for the background due to Standard Model processes, and 95% CL upper limits are set, as a function of $XH$ and $X$ masses, on the production cross-section of the $XH\rightarrow q\bar q'b\bar b$ resonance.
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Several extensions of the Standard Model predict associated production of dark-matter particles with a Higgs boson. Such processes are searched for in final states with missing transverse momentum and a Higgs boson decaying to a $b\bar b$ pair with the ATLAS detector using 36.1 fb$^{-1}$ of $pp$ collisions at a center-of-mass energy of 13 TeV at the LHC. The observed data are in agreement with the Standard Model predictions and limits are placed on the associated production of dark-matter particles and a Higgs boson.
Distributions of the invariant mass of the Higgs boson candidates mh=m_J with one b-tag in the SR for the fourth MET category which is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with two b-tags in the SR for the first MET category that is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with two b-tags in the SR for the second MET category that is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with two b-tags in the SR for the third MET category that is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_J with two b-tags in the SR for the fourth MET category that is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the first MET category which is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the second MET category which is used as input to the fit.
Distributions of the invariant mass of the Higgs boson candidates mh=m_jj with one b-tag in the SR for the third MET category which is used as input to the fit.
Results of a search for physics beyond the Standard Model in events containing an energetic photon and large missing transverse momentum with the ATLAS detector at the Large Hadron Collider are reported. As the number of events observed in data, corresponding to an integrated luminosity of 36.1 $\textrm fb^{-1}$ of proton-proton collisions at a centre-of-mass energy of 13 TeV, is in agreement with the Standard Model expectations, exclusion limits in models where dark-matter candidates are pair-produced are determined. For dark-matter production via an axial-vector or a vector mediator in the s-channel, this search excludes mediator masses below 750-1200 GeV for dark-matter candidate masses below 230-480 GeV at 95% confidence level, depending on the couplings. In an effective theory of dark-matter production, the limits restrict the value of the suppression scale $M_{*}$ to be above 790 GeV at 95% confidence level. A limit is also reported on the production of a high-mass scalar resonance by processes beyond the Standard Model, in which the resonance decays to $Z\gamma$ and the Z boson subsequently decays into neutrinos.
Observed event yields in 36.1 fb$^{-1}$ of data compared to expected yields from SM backgrounds in all signal regions, as predicted from the simultaneous fit to their respective CRs. The first three lines report the yields obtained from the inclusive-SR fit, while the two last lines report the yields obtained from the multiple-bin fit. The uncertainty includes both the statistical and systematic uncertainties.
The observed 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour (+1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The observed 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour (+1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The observed 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The observed 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The expected 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.
The 90% CL exclusion limit on the $\chi$-proton scattering cross section in a simplifed model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.
The 90% CL exclusion limit on the $\chi$-nucleon scattering cross section in a simplifed model of dark-matter production involving a vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.
The observed and expected 95% CL limits on M* for a dimension-7 operator EFT model with a contact interaction of type $\gamma\gamma\chi\chi$ as a function of dark-matter mass $m_{\chi}$.
The observed and expected limit at 95% CL on the production cross section of a $Z\gamma$ resonance as a function of its mass.
The observed 95% CL upper limits on signal strength $\mu$, the ratio of the experimental limit to the predicted signal cross section, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25 and $g_{\chi}$ = 1 as a function of the DM and the mediator particle masses. The bound on $\mu$ only applies for choices of couplings that yield the same kinematic distributions as the benchmark model.
Acceptance, in %, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.
Fiducial reconstruction efficiencies in the three inclusive signal regions for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.
This paper presents a measurement of the $W$ boson production cross section and the $W^{+}/W^{-}$ cross-section ratio, both in association with jets, in proton--proton collisions at $\sqrt{s}=8$ TeV with the ATLAS experiment at the Large Hadron Collider. The measurement is performed in final states containing one electron and missing transverse momentum using data corresponding to an integrated luminosity of 20.2 fb$^{-1}$. Differential cross sections for events with one or two jets are presented for a range of observables, including jet transverse momenta and rapidities, the scalar sum of transverse momenta of the visible particles and the missing transverse momentum in the event, and the transverse momentum of the $W$ boson. For a subset of the observables, the differential cross sections of positively and negatively charged $W$ bosons are measured separately. In the cross-section ratio of $W^{+}/W^{-}$ the dominant systematic uncertainties cancel out, improving the measurement precision by up to a factor of nine. The observables and ratios selected for this paper provide valuable input for the up quark, down quark, and gluon parton distribution functions of the proton.
Cross section for the production of W bosons for different inclusive jet multiplicities.
Statistical correlation between bins in data for the cross section for the production of W bosons for different inclusive jet multiplicities.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Cross section for the production of W bosons as a function of exclusive jet multiplicity.
Statistical correlation between bins in data for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
List of experimentally considered systematic uncertainties for the W+jets cross section measurement
Non-perturbative corrections for the cross section for the production of W bosons for different inclusive jet multiplicities.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
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.
A search for the supersymmetric partners of quarks and gluons (squarks and gluinos) in final states containing hadronic jets and missing transverse momentum, but no electrons or muons, is presented. The data used in this search were recorded in 2015 and 2016 by the ATLAS experiment in $\sqrt{s}$=13 TeV proton--proton collisions at the Large Hadron Collider, corresponding to an integrated luminosity of 36.1 fb$^{-1}$. The results are interpreted in the context of various models where squarks and gluinos are pair-produced and the neutralino is the lightest supersymmetric particle. An exclusion limit at the 95\% confidence level on the mass of the gluino is set at 2.03 TeV for a simplified model incorporating only a gluino and the lightest neutralino, assuming the lightest neutralino is massless. For a simplified model involving the strong production of mass-degenerate first- and second-generation squarks, squark masses below 1.55 TeV are excluded if the lightest neutralino is massless. These limits substantially extend the region of supersymmetric parameter space previously excluded by searches with the ATLAS detector.
Observed and expected background and signal effective mass distributions for SR2j-2100. For signal, a squark direct decay model where squarks have mass of 600 GeV and the neutralino1 has mass of 595 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2800. For signal, a squark direct decay model where squarks have mass of 1500 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1000. For signal, a gluino direct decay model where gluinos have mass of 1300 GeV and the neutralino1 has mass of 900 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-2200. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 800 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jB-2400. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-1200. For signal, a squark direct decay model where squarks have mass of 900 GeV and the neutralino1 has mass of 500 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-1600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 500 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2000. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-2400. For signal, a squark direct decay model where squarks have mass of 1500 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2j-3600. For signal, a squark direct decay model where squarks have mass of 1200 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jB-1600. For signal, a gluino onestep decay model where gluinos have mass of 1600 GeV, the chargino1 has mass of 1590 GeV and the neutralino1 has mass of 60 GeV is shown.
Observed and expected background and signal effective mass distributions for SR3j-1300. For signal, a squark direct decay model where squarks have mass of 600 GeV and the neutralino1 has mass of 595 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1400. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-1800. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-2600. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR4j-3000. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-1600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-1700. For signal, a gluino direct decay model where gluinos have mass of 1800 GeV and the neutralino1 has mass of 0 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-2000. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j-2600. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-1200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-1800. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed and expected background and signal effective mass distributions for SR6j-2200. For signal, a gluino onestep decay model where gluinos have mass of 1705 GeV, the chargino1 has mass of 865 GeV and the neutralino1 has mass of 25 GeV is shown.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the light-flavor squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay directly into the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the squark and lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from RJR-based searches on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and second lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate the second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the squark mass and the mass gap ratio x in a SUSY scenario where squarks are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{q} \rightarrow q \tilde{\chi}_{1}^{\pm} \rightarrow q W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{q} \rightarrow q \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Expected 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL exclusion contours from Meff-based searches on the gluino mass and the mass gap ratio x in a SUSY scenario where gluinos are produced in pairs and decay via an intermediate lightest chargino or second lightest neutralino to the lightest neutralino, $\tilde{g} \rightarrow qq \tilde{\chi}_{1}^{\pm} \rightarrow qq W^{\pm} \tilde{\chi}_{1}^{0}$, or $\tilde{g} \rightarrow qq \tilde{\chi}_{2}^{0} \rightarrow qq Z/h \tilde{\chi}_{1}^{0}$.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=0$ GeV.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=695$ GeV.
Observed 95% CL upper limit on the signal cross-section from Meff-based searches for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Expected 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Observed 95% CL exclusion contours from Meff-based searches on the gluino and squark masses for inclusive squark-gluino production in pMSSM models with $m_{\tilde{\chi}_{1}^0}=995$ GeV.
Cut-flow of Meff-2j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow of Meff-3j,4j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow of Meff-5j,6j for three supersymmetric models: a gluino direct decay model where gluinos have mass of 2000 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events); and a squark direct decay model where squarks have mass of 1200 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 600 $\mathrm{\ Ge\kern -0.1em V}$ (20000 generated events); and a squark direct decay model where squarks have mass of 1500 $\mathrm{\ Ge\kern -0.1em V}$ and the $\tilde{\chi}_{1}^{0}$ has mass of 0 $\mathrm{\ Ge\kern -0.1em V}$ (10000 generated events). The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting squarks for SS direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting gluinos for GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Cut-flow for RJR-based SR's targeting compressed mass-spectra signals for SS direct and GG direct model points. Expected yields are normalized to a luminosity of 36.1 fb$^{-1}$.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-3600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2100.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-3j-1300.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-3000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1700.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2000.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1800.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2200.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-1600.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-2400.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S4.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C1.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C2.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C3.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C4.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C5.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3a.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3b.
Signal region acceptance for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1200.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2400.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2800.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-3600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2100.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-3j-1300.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1400.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1800.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C1.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C2.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C3.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C4.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C5.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3a.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3b.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G4.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1200.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2000.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2400.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2800.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-3600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2100.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-3j-1300.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1000.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1400.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1800.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2200.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-3000.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1700.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-2000.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-2600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1200.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1800.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2200.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-1600.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-2400.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S4.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C1.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C2.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C3.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C4.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C5.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G1a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G1b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G2a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G2b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G3a.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G3b.
Signal region acceptance for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G4.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-1200.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-1600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2000.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2400.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2800.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-3600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2100.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-3j-1300.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1000.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1400.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1800.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-2200.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-2600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-3000.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-1700.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-1600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-2000.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-2600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-1200.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-1800.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-2200.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-2600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2jB-1600.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2jB-2400.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S1a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S1b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S2a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S2b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S3a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S3b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S4.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C1.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C2.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C3.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C4.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C5.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G1a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G1b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G2a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G2b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G3a.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G3b.
Signal region acceptance for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G4.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1200.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-1600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2000.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2400.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2800.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-3600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2j-2100.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-3j-1300.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1000.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1400.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-1800.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-3000.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-1700.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S1b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S2a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S3a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C5.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.
This paper presents a search for direct electroweak gaugino or gluino pair production with a chargino nearly mass-degenerate with a stable neutralino. It is based on an integrated luminosity of 36.1 $\mathrm{fb}^{-1}$ of $pp$ collisions at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment at the LHC. The final state of interest is a disappearing track accompanied by at least one jet with high transverse momentum from initial-state radiation or by four jets from the gluino decay chain. The use of short track segments reconstructed from the innermost tracking layers significantly improves the sensitivity to short chargino lifetimes. The results are found to be consistent with Standard Model predictions. Exclusion limits are set at 95% confidence level on the mass of charginos and gluinos for different chargino lifetimes. For a pure wino with a lifetime of about 0.2 ns, chargino masses up to 460 GeV are excluded. For the strong production channel, gluino masses up to 1.65 TeV are excluded assuming a chargino mass of 460 GeV and lifetime of 0.2 ns.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the low-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($\tau_{\tilde{\chi}_{1}^{\pm}}$ = 0.2 ns and $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV) in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in electroweak channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of fake tracklet in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of muon background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of hadron and electron background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of signal ($m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}} = 500 GeV$) in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of total background in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Pixel-tracklet $p_{T}$ spectrum of observed data in strong channel in the high-Emiss region.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 0.2 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Observed exclusion limit at 95% CL obtained in the strong production channel in terms of the gluino and chargino masses. The limit is shown assuming a chargino lifetime 1.0 ns.
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Expected exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Observed exclusion limit at 95% CL obtained in the electroweak production channel in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (fb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Model dependent upper limits on cross-section (pb) for the electroweak production are shown by grey numbers in terms of the chargino lifetime ($\tau_{\tilde{\chi}_{1}^{\pm}}$) and mass ($m_{\tilde{\chi}_{1}^{\pm}}$).
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the electroweak channel. The total signal acceptance $\times$ efficiency is defined as the probability of an event passing the signal region selection when an electroweak gaugino pair is produced in a pp collision.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
Total acceptance $\times$ efficiency of the strong channel. In white regions, no simulation sample is available. The left-upper triangle region is not allowed kinematically in wino-LSP scenarios. The total signal acceptance $\times$ efficiency is calculated relative to events in which the gluinos decay into electroweak gaugino pairs.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the electroweak channel as a function of the chargino $eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the electroweak channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The generator-level acceptance after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance for charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level).
The generator-level acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
The acceptance $\times$ efficiency after reconstruction, for selecting and reconstructing charginos produced in the strong channel as a function of the chargino $\eta$ and chargino decay radius (at generator level). The acceptance $\times$ efficiency after reconstruction is the probability of a signal event, which passes all the event-level requirements, passing all the track/tracklet requirements after reconstruction.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in direct electroweak production with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
Summary of the selection criteria, and the corresponding observed number of events in data as well as the expected number of signal events in simulation for two benchmark models: a chargino produced in the strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. The expected number of signal events is normalised to 36.1 fb${}^{-1}$. The signal selection efficiencies are also shown in parentheses. The first row shows the number of events after the application of detector and data quality conditions. Requirements below the dashed line are applied to tracks and tracklets.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few electroweak signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
The event and tracklet generator-level acceptance and selection efficiency for a few strong signal models studied in this search. The last column shows the probability ($P$) for a reconstructed tracklet to have $p_{T}$ greater than 100 GeV.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Systematic uncertainties in the signal event yields at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. The uncertainty in the cross-section of the strong production is large due to the large effect from the PDF uncertainty.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anticorrelation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Observed events, expected background for null signal, and expected signal yields for two benchmark models: electroweak channel with ($m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (400 GeV, 0.2 ns) and strong channel with ($m_{\tilde{g}}$, $m_{\tilde{\chi}_{1}^{\pm}}$, $\tau_{\tilde{\chi}_{1}^{\pm}}$) = (1600 GeV, 500 GeV, 0.2 ns) in the high-Emiss region. Also shown are the probability of a background-only experiment being more signal-like than observed ($p_0$) and the upper limit on the model-independent visible cross-section at 95\% CL. The uncertainty in the total background yield is different from the sum of uncertainties in quadrature due to anti-correlation between different backgrounds.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracket background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Effects of systematic uncertainties on the signal exclusion significance at $m_{\tilde{\chi}_{1}^{\pm}}$ = 400 GeV for the electroweak channel and at $m_{\tilde{g}}$ = 1600 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 500 GeV for the strong channel. The lifetime of the chargino is not relevant here. Effects of uncertainties on the fake-tracklet background is smaller in the strong channel analysis because the estimated number of the fake-tracklet background events is small.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
Cross-section upper limits for the strong production, presented in unit of fb. Left-upper triangle region is unphysical because the wino mass is larger than the gluino mass.
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