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Measurements of distributions of charged particles produced in proton-proton collisions with a centre-of-mass energy of 13 TeV are presented. The data were recorded by the ATLAS detector at the LHC and correspond to an integrated luminosity of 151 $\mu$b$^{-1}$. The particles are required to have a transverse momentum greater than 100 MeV and an absolute pseudorapidity less than 2.5. The charged-particle multiplicity, its dependence on transverse momentum and pseudorapidity and the dependence of the mean transverse momentum on multiplicity are measured in events containing at least two charged particles satisfying the above kinematic criteria. The results are corrected for detector effects and compared to the predictions from several Monte Carlo event generators.
The average charged-particle muliplicity per unit of rapidity for ETARAP=0 as a function of the centre-of-mass energy.
The extrapolated ($\tau > 30$ ps) average charged-particle muliplicity per unit of rapidity for ETARAP=0 as a function of the centre-of-mass energy.
Charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of pseudorapidity for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of transverse momentum for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Charged-particle multiplicity distribution in proton-proton collisions at a centre-of mass energy of 13000 GeV for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Average transverse momentum in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of the number of charged particles in the event for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Extrapolated ($\tau > 30$ ps) charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of pseudorapidity for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Extrapolated ($\tau > 30$ ps) charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of transverse momentum for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Extrapolated ($\tau > 30$ ps) charged-particle multiplicity distributions in proton-proton collisions at a centre-of mass energy of 13000 GeV for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
Extrapolated ($\tau > 30$ ps) average transverse momentum in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of the number of charged particles in the event for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.
A search for a heavy resonance decaying into $WZ$ in the fully leptonic channel (electrons and muons) is performed. It is based on proton-proton collision data collected by the ATLAS experiment at the Large Hadron Collider at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 36.1 fb$^{-1}$. No significant excess is observed over the Standard Model predictions and limits are set on the production cross section times branching ratio of a heavy vector particle produced either in quark-antiquark fusion or through vector-boson fusion. Constraints are also obtained on the mass and couplings of a singly charged Higgs boson, in the Georgi-Machacek model, produced through vector-boson fusion.
The signal selection acceptance times efficiency (A$\times\epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, is presented as a function of the Georgi-Machacek Model $H_5^\pm$ resonance mass in the VBF category. The A$\times\epsilon$ is shown for the combination of all decay channels. For the Georgi-Machacek Model $H_5^\pm$ samples, generator cuts are: $p_{\mathrm T}$ (jets) $>$ 15 GeV, $p_{\mathrm T}$ (leptons) $>$ 10 GeV, $|\eta|$(jets) $<$ 5 and $|\eta|$(leptons) $<$ 2.7. The decay of $W$ is to all flavors of leptons and of $Z$ to $e^+e^−$ and $\mu^+\mu^-$. The $Z$ to $\tau^+\tau-$ decays give a negligible contribution and were not included in the simulation, however the acceptancs shown here was scaled to include all decays. A systematic uncertainty was applied to cover the scaling uncertainty. The uncertainty shown represents the total statistical and systematic uncertainties.
The signal selection acceptance times efficiency (A$\times \epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, is presented as a function of the HVT resonance mass in the VBF category. The A$\times \epsilon$ is shown for the combination of all decay channels. For the HVT VBF samples, generator cuts are: m$_{jj} >$ 150 GeV. The decay of $W$ and $Z$ are to all flavors of leptons. The uncertainty shown represents the total statistical and systematic uncertainties.
Signal selection acceptance times efficiency (A$\times \epsilon$), defined as the ratio of the number of MC signal events in the category to the number of generated signal events, as a function of the HVT resonance mass for the quark-antiquark production. The $A\times\epsilon$ is shown for each decay channel and the inclusive one. The decay of $W$ and $Z$ are to all flavors of leptons. The uncertainty shown represents the total statistical and systematic uncertainties.
Observed and expected distributions of the $WZ$ invariant mass in the q$\bar{\mathrm q}$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.
Observed and expected distributions of the $WZ$ invariant mass in the $VBF$ category after applying all selection cuts. Background contributions are obtained from background-only likelihood fit to the data.
Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the q$\bar{\mathrm q}$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 900 GeV and are obtained from pseudo-experiments above that.
Observed and expected 95% C.L. upper limits on $\sigma\times$BR($W'\to W^\pm Z$) for the $VBF$ production of a $W'$ boson in the HVT model as a function of its mass. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.
Observed and expected 95% C.L. upper limits on $\sigma\times$BR($H_5^\pm\to W^\pm Z$) of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty in the expected limits are given. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.
Observed and expected 95% C.L. upper limits on the parameter $\sin(\theta_H)$ of the Georgi-Machacek Model as a function of $m_{H_5^\pm}$. The $\pm1\sigma$ and $\pm2\sigma$ uncertainty are given in the expected limits. Limits are calculated in the asymptotic approximation below 700 GeV and are obtained from pseudo-experiments above that.
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-4j-2200.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-2600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-3000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1700.
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 Meff-5j-2000.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-2600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1200.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1800.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2200.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-1600.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-2400.
Signal region acceptance for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1a.
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-2200.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-4j-2600.
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 Meff-5j-1600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2000.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-5j-2600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1200.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-1800.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2200.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-6j-2600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-1600.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR Meff-2jB-2400.
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-S2b.
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-S3b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-S4.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C1.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C2.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C3.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-C4.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G1b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G2b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3a.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G3b.
Signal region efficiency for simplified model with squark pair production and direct decays to a quark and neutralino in SR RJR-G4.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1200.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-1600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2000.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2400.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2800.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-3600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2j-2100.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-3j-1300.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1000.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1400.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-1800.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-2200.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-2600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-4j-3000.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1700.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-1600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-2000.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-5j-2600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1200.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-1800.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2200.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-6j-2600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-1600.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR Meff-2jB-2400.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S1b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S2b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S3b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-S4.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C1.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C2.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C3.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C4.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-C5.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G1b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G2b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3a.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G3b.
Signal region efficiency for simplified model with gluino pair production and direct decays to two quarks and neutralino in SR RJR-G4.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1200.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-1600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2000.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2400.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2800.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-3600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2j-2100.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-3j-1300.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1000.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1400.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-1800.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2200.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-2600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-4j-3000.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1700.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-1600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2200.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-2600.
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 new phenomena in final states characterized by high jet multiplicity, an isolated lepton (electron or muon) and either zero or at least three $b$-tagged jets is presented. The search uses 36.1 fb$^{-1}$ of $\sqrt{s}$ = 13 TeV proton-proton collision data collected by the ATLAS experiment at the Large Hadron Collider in 2015 and 2016. The dominant sources of background are estimated using parameterized extrapolations, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. No significant excess over the Standard Model expectation is observed and 95% confidence-level limits are extracted constraining four simplified models of $R$-parity-violating supersymmetry that feature either gluino or top-squark pair production. The exclusion limits reach as high as 2.1 TeV in gluino mass and 1.2 TeV in top-squark mass in the models considered. In addition, an upper limit is set on the cross-section for Standard Model $t\bar{t}t\bar{t}$ production of 60 fb (6.5 $\times$ the Standard Model prediction) at 95% confidence level. Finally, model-independent limits are set on the contribution from new phenomena to the signal-region yields.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eleven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eleven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eleven jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with twelve-or-more jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with twelve-or-more jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with twelve-or-more jets in the different b-tag multiplicity bins for the 40 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 60 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with five jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with six jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with seven jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with eight jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with nine jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
The expected background and observed data with ten-or-more jets in the different b-tag multiplicity bins for the 80 GeV jet pT threshold. The background shown is estimated by including all bins in the fit.
Observed exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Expected exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Expected exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Expected exclusion contours on the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Expected exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Expected exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Expected exclusion contours on the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Expected exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Expected exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Expected exclusion contours on the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Observed exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Expected exclusion contours on the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model where the gluino decays via a virtual top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino --> uds) via the RPV coupling lambda''_112.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed upper limits on the model cross-section in units of pb as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a third-generation quark and a higgsino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Observed upper limits on the model cross-section in units of pb as a function of the stop and neutralino masses in a model where the stop decays to a top and a bino-like neutralino, which decays via the RPV coupling lambda''_323.
Acceptance as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Acceptance as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Acceptance as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Efficiency as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Efficiency as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Efficiency as a function of the gluino and stop masses in a model where the gluino decays to a top quark and a top squark, with the top squark decaying to an s-quark and a b-quark via a non-zero lambda''_323 RPV coupling.
Acceptance as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Acceptance as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Acceptance as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Efficiency as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Efficiency as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Efficiency as a function of the gluino and neutralino masses in a model with a gluino decaying to two light quarks (q=u,d,s,c) and the neutralino, which then decays to two light quarks and a charged lepton or a neutrino.
Cut flow for a model of gluino pair production where the gluino decays to two (u, d, s, c) quarks and the neutralino, which then decays to two (u, d, s, c) quarks and a lepton via a lambda' RPV coupling, where each RPV decay can produce any of the four first and second generation leptons (e, mu, nu_e, nu_mu) with equal probability (m_gluino = 1800 GeV, m_neutralino = 900 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where the gluino decays to two (u, d, s, c) quarks and the neutralino, which then decays to two (u, d, s, c) quarks and a lepton via a lambda' RPV coupling, where each RPV decay can produce any of the four first and second generation leptons (e, mu, nu_e, nu_mu) with equal probability (m_gluino = 1800 GeV, m_neutralino = 900 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where the gluino decays to two (u, d, s, c) quarks and the neutralino, which then decays to two (u, d, s, c) quarks and a lepton via a lambda' RPV coupling, where each RPV decay can produce any of the four first and second generation leptons (e, mu, nu_e, nu_mu) with equal probability (m_gluino = 1800 GeV, m_neutralino = 900 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays to a top quark and a top squark, with the top squark decaying to an s- and a b- quark via a non-zero lambda''_323 RPV coupling (m_gluino = 1600 GeV, m_stop = 1000 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays to a top quark and a top squark, with the top squark decaying to an s- and a b- quark via a non-zero lambda''_323 RPV coupling (m_gluino = 1600 GeV, m_stop = 1000 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays to a top quark and a top squark, with the top squark decaying to an s- and a b- quark via a non-zero lambda''_323 RPV coupling (m_gluino = 1600 GeV, m_stop = 1000 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays via an off-shell top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino -> uds) via the RPV coupling lambda''_112 (m_gluino = 2000 GeV, m_neutralino = 941 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays via an off-shell top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino -> uds) via the RPV coupling lambda''_112 (m_gluino = 2000 GeV, m_neutralino = 941 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of gluino pair production where each gluino decays via an off-shell top squark to two top quarks and the lightest neutralino, with the neutralino decaying to three light quarks (neutralino -> uds) via the RPV coupling lambda''_112 (m_gluino = 2000 GeV, m_neutralino = 941 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of right-handed top squark pair production with the top squark decaying to the lightest supersymmetric particle (LSP) which is considered to be purely higgsino. The higgsino-like LSP decays through the non-zero RPV coupling lambda''_323 (m_stop = 975 GeV, m_neutralino = 600 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of right-handed top squark pair production with the top squark decaying to the lightest supersymmetric particle (LSP) which is considered to be purely higgsino. The higgsino-like LSP decays through the non-zero RPV coupling lambda''_323 (m_stop = 975 GeV, m_neutralino = 600 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
Cut flow for a model of right-handed top squark pair production with the top squark decaying to the lightest supersymmetric particle (LSP) which is considered to be purely higgsino. The higgsino-like LSP decays through the non-zero RPV coupling lambda''_323 (m_stop = 975 GeV, m_neutralino = 600 GeV). The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies pT > 25 GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed.
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.
A search for new particles decaying into a pair of top quarks is performed using proton-proton collision data recorded with the ATLAS detector at the Large Hadron Collider at a center-of-mass energy of $\sqrt{s} = $13 TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$. Events consistent with top-quark pair production and the fully hadronic decay mode of the top quarks are selected by requiring multiple high transverse momentum jets including those containing $b$-hadrons. Two analysis techniques, exploiting dedicated top-quark pair reconstruction in different kinematic regimes, are used to optimize the search sensitivity to new hypothetical particles over a wide mass range. The invariant mass distribution of the two reconstructed top-quark candidates is examined for resonant production of new particles with various spins and decay widths. No significant deviation from the Standard Model prediction is observed and limits are set on the production cross-section times branching fraction for new hypothetical $Z'$ bosons, dark-matter mediators, Kaluza-Klein gravitons and Kaluza-Klein gluons. By comparing with the predicted production cross-sections, the $Z'$ boson in the topcolor-assisted-technicolor model is excluded for masses up to 3.1$-$3.6 TeV, the dark-matter mediators in a simplified framework are excluded in the mass ranges from 0.8 TeV to 0.9 TeV and from 2.0 TeV to 2.2 TeV, and the Kaluza-Klein gluon is excluded for masses up to 3.4 TeV, depending on the decay widths of the particles.
Inclusive and differential cross-sections for the production of a top-quark pair in association with a photon are measured with proton-proton collision data corresponding to an integrated luminosity of 36.1 fb$^{-1}$, collected by the ATLAS detector at the LHC in 2015 and 2016 at a centre-of-mass energy of 13 TeV. The measurements are performed in single-lepton and dilepton final states in a fiducial volume. Events with exactly one photon, one or two leptons, a channel-dependent minimum number of jets, and at least one $b$-jet are selected. Neural network algorithms are used to separate the signal from the backgrounds. The fiducial cross-sections are measured to be 521 $\pm$ 9(stat.) $\pm$ 41(sys.) fb and 69 $\pm$ 3(stat.) $\pm$ 4(sys.) fb for the single-lepton and dilepton channels, respectively. The differential cross-sections are measured as a function of photon transverse momentum, photon absolute pseudorapidity, and angular distance between the photon and its closest lepton in both channels, as well as azimuthal opening angle and absolute pseudorapidity difference between the two leptons in the dilepton channel. All measurements are in agreement with the theoretical predictions.
Jet substructure observables have significantly extended the search program for physics beyond the Standard Model at the Large Hadron Collider. The state-of-the-art tools have been motivated by theoretical calculations, but there has never been a direct comparison between data and calculations of jet substructure observables that are accurate beyond leading-logarithm approximation. Such observables are significant not only for probing the collinear regime of QCD that is largely unexplored at a hadron collider, but also for improving the understanding of jet substructure properties that are used in many studies at the Large Hadron Collider. This Letter documents a measurement of the first jet substructure quantity at a hadron collider to be calculated at next-to-next-to-leading-logarithm accuracy. The normalized, differential cross-section is measured as a function of log$_{10}\rho^2$, where $\rho$ is the ratio of the soft-drop mass to the ungroomed jet transverse momentum. This quantity is measured in dijet events from 32.9 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collisions recorded by the ATLAS detector. The data are unfolded to correct for detector effects and compared to precise QCD calculations and leading-logarithm particle-level Monte Carlo simulations.
Data from Fig 3a. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 0, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$.
Data from Fig 3b. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$.
Data from Fig 3c. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, $\sigma$(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. The uncertainties are applied symmetrically, though the cross section cannot go below zero in the first bin.
Data from Fig 4 and Fig 8a-16a. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for beta = 0, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 4 and Fig 8b-16b. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 1, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 8c-16c. The unfolded $log_{10}(\rho^2)$ distribution for anti-kt R=0.8 jets with $p_T$(lead) > 600 GeV, after the soft drop algorithm is applied for $\beta$ = 2, in data. All uncertainties described in the text are shown on the data; the uncertainties from the calculations are shown on each one. The distributions are normalized to the integrated cross section, sigma(resum), measured in the resummation region, $-3.7 < log_{10}(\rho^2) < -1.7$. Each set of 10 bins corresponds to one $p_T$ bin in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ } and 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6a. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 0. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6b. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 1. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 6c. The summed covariance matrices of the systematic and statistical uncertainties for the combined $p_T$ and $log_{10}(\rho^2)$ bins for $\beta$ = 2. Each group of 10 bins corresponds to a bin of $p_T$ in {600, 650, 700, 750, 800, 850, 900, 950, 1000, ∞ }; each bin within the $p_T$ bin corresponds to 10 evenly spaced bins in $log_{10}(\rho^2)$ from -4.5 to -0.5.
Data from Fig 7a. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 0, inclusive in $p_T$.
Data from Fig 7b. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 1, inclusive in $p_T$.
Data from Fig 7c. The summed covariance matrices of the systematic and statistical uncertainties for the $log_{10}(\rho^2)$ bins for $\beta$ = 2, inclusive in $p_T$.
The production of $Z$ bosons in association with a high-energy photon ($Z\gamma$ production) is studied in the neutrino decay channel of the $Z$ boson using $pp$ collisions at $\sqrt{s}$ = 13 TeV. The analysis uses a data sample with an integrated luminosity of 36.1 fb$^{-1}$ collected by the ATLAS detector at the LHC in 2015 and 2016. Candidate $Z\gamma$ events with invisible decays of the $Z$ boson are selected by requiring significant transverse momentum ($p_{T}$) of the dineutrino system in conjunction with a single isolated photon with large transverse energy ($E_{T}$). The rate of $Z\gamma$ production is measured as a function of photon $E_{T}$, dineutrino system $p_{T}$ and jet multiplicity. Evidence of anomalous triple gauge-boson couplings is sought in $Z\gamma$ production with photon $E_{T}$ greater than 600 GeV. No excess is observed relative to the Standard Model expectation, and upper limits are set on the strength of $ZZ\gamma$ and $Z\gamma\gamma$ couplings.
Measured integrated cross sections for the $Z\gamma$ process for neutrino final states at $\sqrt{s} = 13$ TeV in the extended fiducial region defined in the paper.
Measured differential cross sections for the $pp \rightarrow \nu\bar{\nu}\gamma$ process at $\sqrt{s} = 13$ TeV as a function of photon $E_{T}$ in the inclusive $N_{jets} \geq 0$ extended fiducial region defined in the paper.
Measured differential cross sections for the $pp \rightarrow \nu\bar{\nu}\gamma$ process at $\sqrt{s} = 13$ TeV as a function of photon $E_{T}$ in the exclusive $N_{jets} = 0$ extended fiducial region defined in the paper.
Measured differential cross sections for the $pp \rightarrow \nu\bar{\nu}\gamma$ process as a function of $p_{T}^{\nu\bar{\nu}}$ in the inclusive $N_{jets} \geq 0$ extended fiducial region defined in the paper.
Measured differential cross sections for the $pp \rightarrow \nu\bar{\nu}\gamma$ process as a function of $p_{T}^{\nu\bar{\nu}}$ in the exclusive $N_{jets} = 0$ extended fiducial region defined in the paper.
Measured differential cross sections as a function of $N_{jets}$ in the extended fiducial region defined in the paper.
Observed and expected one dimensional 95% C.L. limits on vertex function parameters for the $ZZ\gamma$ and $Z\gamma\gamma$ vertices.
Observed and expected one dimensional 95% C.L. limits on EFT parameters for the $ZZ\gamma$ and $Z\gamma\gamma$ vertices.
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