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The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dakota, USA. This Letter reports results from LUX-ZEPLIN's first search for weakly interacting massive particles (WIMPs) with an exposure of 60~live days using a fiducial mass of 5.5 t. A profile-likelihood ratio analysis shows the data to be consistent with a background-only hypothesis, setting new limits on spin-independent WIMP-nucleon, spin-dependent WIMP-neutron, and spin-dependent WIMP-proton cross sections for WIMP masses above 9 GeV/c$^2$. The most stringent limit is set for spin-independent scattering at 36 GeV/c$^2$, rejecting cross sections above 9.2$\times 10^{-48}$ cm$^2$ at the 90% confidence level.
90% CL WIMP SI cross sections, including sensitivities
90% CL WIMP SDn cross sections, including sensitivities and nuclear structure uncertainties
90% CL WIMP SDp cross sections, including sensitivities and nuclear structure uncertainties
Data selection efficiency as a function of nuclear recoil energy
Data points used in analysis in log_10(S2)-S1 space
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 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.
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 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 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.
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.
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 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 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) 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.
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 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.
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.
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 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 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 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($W'\to W^\pm Z$) 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 $\sigma\times$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.
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 measurement of $J/\psi$ and $\psi(2\mathrm{S})$ production is presented. It is based on a data sample from Pb+Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV and $pp$ collisions at $\sqrt{s}$ = 5.02 TeV recorded by the ATLAS detector at the LHC in 2015, corresponding to an integrated luminosity of $0.42\mathrm{nb}^{-1}$ and $25\mathrm{pb}^{-1}$ in Pb+Pb and $pp$, respectively. The measurements of per-event yields, nuclear modification factors, and non-prompt fractions are performed in the dimuon decay channel for $9 < p_{T}^{\mu\mu} < 40$ GeV in dimuon transverse momentum, and $-2.0 < y_{\mu\mu} < 2.0$ in rapidity. Strong suppression is found in Pb+Pb collisions for both prompt and non-prompt $J/\psi$, as well as for prompt and non-prompt $\psi(2\mathrm{S})$, increasing with event centrality. The suppression of prompt $\psi(2\mathrm{S})$ is observed to be stronger than that of $J/\psi$, while the suppression of non-prompt $\psi(2\mathrm{S})$ is equal to that of the non-prompt $J/\psi$ within uncertainties, consistent with the expectation that both arise from \textit{b}-quarks propagating through the medium. Despite prompt and non-prompt $J/\psi$ arising from different mechanisms, the dependence of their nuclear modification factors on centrality is found to be quite similar.
Per-event-yield of prompt jpsi production in 5.02 TeV PbPb collision data as a function of pT for three different centrality slices in the rapidity range |y| < 2.
Per-event-yield of non-prompt jpsi production in 5.02 TeV PbPb collision data as a function of pT for three different centrality slices in the rapidity range |y| < 2.
Non-prompt fraction of jpsi production in 5.02 TeV PbPb collision data as a function of pT for three different centrality slices in the rapidity range |y| < 2.
Non-prompt fraction of jpsi production in 5.02 TeV PbPb collision data as a function of pT for integrated centrality in the rapidity range |y| < 2.
The nuclear modification factor as a function of pT for the prompt jpsi for |y|<2, in 0--80% centrality bin.
The nuclear modification factor as a function of pT for the prompt jpsi for |y|<2, in 0--10%, 20--40%, and 40--80% centrality bin.
The nuclear modification factor as a function of pT for the non-prompt jpsi for |y|<2, in 0--80% centrality bin.
The nuclear modification factor as a function of pT for the non-prompt jpsi for |y|<2, in 0--10%, 20--40%, and 40--80% centrality bin.
The nuclear modification factor as a function of pT for the prompt and non-prompt jpsi for |y|<2, in 0--20% centrality bin.
The nuclear modification factor as a function of eta for the prompt jpsi for 9 < pT < 40 GeV, in 0--80% centrality bin.
The nuclear modification factor as a function of eta for the prompt jpsi for 9 < pT < 40 GeV, in 0--10%, 20--40%, and 40--80% centrality bin.
The nuclear modification factor as a function of eta for the non-prompt jpsi for 9 < pT < 40 GeV, in 0--80% centrality bin.
The nuclear modification factor as a function of eta for the non-prompt jpsi for 9 < pT < 40 GeV, in 0--10%, 20--40%, and 40--80% centrality bin.
The nuclear modification factor as a function of Npart for the prompt jpsi for |y|<2, and 9 < pT < 40 GeV
The nuclear modification factor as a function of Npart for the non-prompt jpsi for |y|<2, and 9 < pT < 40 GeV
The double ratio of nuclear modification factor as a function of Npart for the prompt jpsi and psi(2S) for |y|<2, and 9 < pT < 40 GeV
The double ratio nuclear modification factor as a function of Npart for the non-prompt jpsi and psi(2S) for |y|<2, and 9 < pT < 40 GeV
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-C5.
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-5j-2000.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-5j-2600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1200.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-6j-1800.
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.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-1600.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR Meff-2jB-2400.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S1b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S2b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S3b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-S4.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C1.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C2.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C3.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C4.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-C5.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G1a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G1b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G2a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G2b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G3a.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G3b.
Signal region efficiency for simplified model with squark pair production and decays to a quark and chargino in SR RJR-G4.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-1200.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-1600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2000.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2400.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2800.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-3600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2j-2100.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-3j-1300.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1000.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1400.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-1800.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-2200.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-2600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-4j-3000.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-1700.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-1600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-2000.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-5j-2600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-1200.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-1800.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-2200.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-6j-2600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2jB-1600.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR Meff-2jB-2400.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S1a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S1b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S2a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S2b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S3a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S3b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-S4.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C1.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C2.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C3.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C4.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-C5.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G1a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G1b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G2a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G2b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G3a.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G3b.
Signal region efficiency for simplified model with gluino pair production and decays to two quarks and chargino in SR RJR-G4.
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.
Detailed measurements of $t$-channel single top-quark production are presented. They use 20.2 fb$^{-1}$ of data collected by the ATLAS experiment in proton-proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of 5.8 % (top quark) and 7.8 % (top antiquark), respectively. The total cross-sections are measured to be $\sigma_{\mathrm{tot}}(tq) = 56.7^{+4.3}_{-3.8}\;$pb for top-quark production and $\sigma_{\mathrm{tot}}(\bar{t}q) = 32.9^{+3.0}_{-2.7}\;$pb for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be $R_t=1.72 \pm 0.09$, with an improved relative precision of 4.9 % since several systematic uncertainties cancel in the ratio. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the $t$-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available.
Predicted and observed event yields for the signal region (SR). The multijet background prediction is obtained from a binned maximum-likelihood fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution. All the other predictions are derived using theoretical cross-sections, given for the backgrounds in Sect. 6 and for the signal in Sect. 1. The quoted uncertainties are in the predicted cross-sections or in the number of multijet events, in case of the multijet process.
Predicted and observed event yields for the signal region (SR). The multijet background prediction is obtained from a binned maximum-likelihood fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution. All the other predictions are derived using theoretical cross-sections, given for the backgrounds in Sect. 6 and for the signal in Sect. 1. The quoted uncertainties are in the predicted cross-sections or in the number of multijet events, in case of the multijet process.
Definition of the fiducial phase space.
Definition of the fiducial phase space.
The seven input variables to the NN ordered by their discriminating power. The jet that is not $b$-tagged is referred to as $\textit{untagged}~$jet.
The seven input variables to the NN ordered by their discriminating power. The jet that is not $b$-tagged is referred to as $\textit{untagged}~$jet.
Event yields for the different processes estimated with the fit to the $O_\mathrm{NN}$ distribution compared to the numbers of observed events. Only the statistical uncertainties are quoted. The $Z,VV+\mathrm{jets}$ contributions and the multijet background are fixed in the fit; therefore no uncertainty is quoted for these processes.
Event yields for the different processes estimated with the fit to the $O_\mathrm{NN}$ distribution compared to the numbers of observed events. Only the statistical uncertainties are quoted. The $Z,VV+\mathrm{jets}$ contributions and the multijet background are fixed in the fit; therefore no uncertainty is quoted for these processes.
Detailed list of the contribution from each source of uncertainty to the total uncertainty in the measured values of $\sigma_{\mathrm{fid}}(tq)$ and $\sigma_{\mathrm{fid}}(\bar tq)$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3\%$. Uncertainties contributing less than $0.5\%$ are marked with ‘<0.5’.
Detailed list of the contribution from each source of uncertainty to the total uncertainty in the measured values of $\sigma_{\mathrm{fid}}(tq)$ and $\sigma_{\mathrm{fid}}(\bar tq)$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3\%$. Uncertainties contributing less than $0.5\%$ are marked with ‘<0.5’.
Significant contributions to the total relative uncertainty in the measured value of $R_{t}$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3~\%$. Uncertainties contributing less than $0.5~\%$ are not shown.
Significant contributions to the total relative uncertainty in the measured value of $R_{t}$. The estimation of the systematic uncertainties has a statistical uncertainty of $0.3~\%$. Uncertainties contributing less than $0.5~\%$ are not shown.
Slopes $a$ of the mass dependence of the measured cross$-$sections.
Slopes $a$ of the mass dependence of the measured cross$-$sections.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the neural network discriminant, $O_{\mathrm{NN}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the neural network discriminant, $O_{\mathrm{NN}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the second neural network discriminant, $O_{\mathrm{NN2}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Predicted (post-fit) and observed event yields for the signal region (SR), after the requirement on the second neural network discriminant, $O_{\mathrm{NN2}}~>~0.8$. The multijet background prediction is obtained from the fit to the $E_{\mathrm{T}}^{\mathrm{miss}}$ distribution described in Section 6, while all the other predictions and uncertainties are derived from the total cross$-$section measurement. In some cases there is no uncertainty quoted. In these cases the uncertainty is < 0.5.
Migration matrix for $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(t)$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $p_{\mathrm{T}}(t)$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(\hat{t\hspace{-0.2mm}})|$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(\hat{t\hspace{-0.2mm}})|$ at the particle level. The pseudo top quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(t)|$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Migration matrix for $|y(t)|$ at the parton level. The parton-level quark is shown on the $y$-axis and the reconstructed variable is shown on the $x$-axis.
Uncertainties in the normalisations of the different backgrounds for all processes, as derived from the total cross-section measurement.
Uncertainties in the normalisations of the different backgrounds for all processes, as derived from the total cross-section measurement.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $p_{\mathrm{T}}(t)$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Absolute and normalised unfolded differential $\bar tq$ production cross$-$section as a function of $|y(t)|$ at parton level.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $tq$ events(at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $ \bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $ \bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ for $\bar tq$ events (at the particle level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $ \bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $p_{\mathrm{T}}(t)$ for $ \bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(t)|$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the absolute differential cross-section as a function of $|y(t)|$ for $\bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(t)|$ for $tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Statistical correlation matrix for the normalised differential cross-section as a function of $|y(t)|$ for $\bar tq$ events (at the parton level). It includes the statistical uncertainty due to the number of data events and MC statistics.
Fiducial acceptance $A_{\mathrm{fid}}$ for different $t$-channel single top-quark MC samples. $^{\mathrm{(a)}}$ Calculation taken from AcerMC $+$ $\mathrm{P{\scriptsize YTHIA}6}$. $^{\mathrm{(b)}}$ Calculation taken from $\mathrm{P{\scriptsize OWHEG}}$-$\mathrm{B{\scriptsize OX}}$ $+$ $\mathrm{P{\scriptsize YTHIA}6}$.
Fiducial acceptance $A_{\mathrm{fid}}$ for different $t$-channel single top-antiquark MC samples. $^{\mathrm{(a)}}$ Calculation taken from AcerMC $+$ $\mathrm{P{\scriptsize YTHIA}6}$. $^{\mathrm{(b)}}$ Calculation taken from $\mathrm{P{\scriptsize OWHEG}}$-$\mathrm{B{\scriptsize OX}}$ $+$ $\mathrm{P{\scriptsize YTHIA}6}$.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,200,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,200,300] GeV) in percent of $\left( \dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})$ at particle level per bin ([0,35,50,75,100,150,300] GeV) in percent of $\left( \dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{t\hspace{-0.2mm}})}$.
Uncertainties for the absolute differential $tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $|y(\hat{t\hspace{-0.2mm}})|$ at particle level per bin ([0,0.15,0.3,0.45,0.7,1.0,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{t\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $\bar tq$ cross-section as a function of $|y(\hat{j\hspace{-0.2mm}})|$ at particle level per bin ([0.0, 1.2, 1.7, 2.2, 2.7, 3.3, 4.5]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(\hat{j\hspace{-0.2mm}})|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,200,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the normalised differential $tq$ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,200,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $\bar tq $ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the normalised differential $\bar tq $ cross-section as a function of $p_{\mathrm{T}}(t)$ at parton level per bin ([0,50,100,150,300] GeV) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}p_{\mathrm{T}}(t)}$.
Uncertainties for the absolute differential $ tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the normalised differential $ tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
Uncertainties for the absolute differential $ \bar tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(t)|}$.
Uncertainties for the normalised differential $ \bar tq $ cross-section as a function of $|y(t)|$ at parton level per bin ([0,0.3,0.7,1.3,2.2]) in percent of $\left(\dfrac{1}{\sigma}\right)\dfrac{\mathrm{d}\sigma(\bar tq)}{\mathrm{d}|y(t)|}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.
This paper presents a measurement of the triple-differential cross section for the Drell--Yan process $Z/\gamma^*\rightarrow \ell^+\ell^-$ where $\ell$ is an electron or a muon. The measurement is performed for invariant masses of the lepton pairs, $m_{\ell\ell}$, between $46$ and $200$ GeV using a sample of $20.2$ fb$^{-1}$ of $pp$ collisions data at a centre-of-mass energy of $\sqrt{s}=8$ TeV collected by the ATLAS detector at the LHC in 2012. The data are presented in bins of invariant mass, absolute dilepton rapidity, $|y_{\ell\ell}|$, and the angular variable $\cos\theta^{*}$ between the outgoing lepton and the incoming quark in the Collins--Soper frame. The measurements are performed in the range $|y_{\ell\ell}|<2.4$ in the muon channel, and extended to $|y_{\ell\ell}|<3.6$ in the electron channel. The cross sections are used to determine the $Z$ boson forward-backward asymmetry as a function of $|y_{\ell\ell}|$ and $m_{\ell\ell}$. The measurements achieve high-precision, below the percent level in the pole region, excluding the uncertainty in the integrated luminosity, and are in agreement with predictions. These precision data are sensitive to the parton distribution functions and the effective weak mixing angle.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity muon channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity muon channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity muon channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the central rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the forward rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the forward rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the measurement in the forward rapidity electron channel. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. Correlated systematic uncertainties with the suffix :A should be treated as additive and with the suffix :M should be treated as multiplicative. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level. 'C Dressed' represents the multiplicative correction factor to translate the cross sections to the dressed level with the cone radius of 0.1: SigmaDressed = C Dressed * SigmaBorn.
Detailed breakdown of systematic uncertainties for the combined measurement of muon, electron central and electron central-forward channels. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement of muon, electron central and electron central-forward channels. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement of muon, electron central and electron central-forward channels. Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS (differential in y, Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS (differential in y, Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS (differential in y, Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS and y (differential in Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS and y (differential in Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Detailed breakdown of systematic uncertainties for the combined measurement, integerated in cos theta_CS and y (differential in Mll) Common systematic uncertainty on the luminosity measurment of 1.8% is not included. The source 'sys,uncor' represents bin-to-bin uncorrelated systematic uncertainty. The cross sections are given at the Born QED level.
Powheg based prediction for AFB in the central-central fiducial phase space, as reported in Fig 16 of the paper. Powheg prediction is corrected to NNLO QCD and NLO EWK, as described in the paper. PDF uncertainties are computed using CT10 PDF set scaled to 68%.
Powheg based prediction for AFB in the central-fiducial fiducial phase space, as reported in Fig 17 of the paper. Powheg prediction is corrected to NNLO QCD and NLO EWK, as described in the paper. PDF uncertainties are computed using CT10 PDF set scaled to 68%.
Multi-particle azimuthal cumulants are measured as a function of centrality and transverse momentum using 470 $\mu$b$^{-1}$ of Pb+Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV with the ATLAS detector at the LHC. These cumulants provide information on the event-by-event fluctuations of harmonic flow coefficients $v_n$ and correlated fluctuations between two harmonics $v_n$ and $v_m$. For the first time, a non-zero four-particle cumulant is observed for dipolar flow, $v_1$. The four-particle cumulants for elliptic flow, $v_2$, and triangular flow, $v_3$, exhibit a strong centrality dependence and change sign in ultra-central collisions. This sign change is consistent with significant non-Gaussian fluctuations in $v_2$ and $v_3$. The four-particle cumulant for quadrangular flow, $v_4$, is found to change sign in mid-central collisions. Correlations between two harmonics are studied with three- and four-particle mixed-harmonic cumulants, which indicate an anti-correlation between $v_2$ and $v_3$, and a positive correlation between $v_2$ and $v_4$. These correlations decrease in strength towards central collisions and either approach zero or change sign in ultra-central collisions. To investigate the possible flow fluctuations arising from intrinsic centrality or volume fluctuations, the results are compared between two different event classes used for centrality definitions. In peripheral and mid-central collisions where the cumulant signals are large, only small differences are observed. In ultra-central collisions, the differences are much larger and transverse momentum dependent. These results provide new information to disentangle flow fluctuations from the initial and final states, as well as new insights on the influence of centrality fluctuations.
NchRec v.s. Et
<NchRec> w.r.t. Et
<Et> w.r.t. NchRec
Et distribution
NchRec distribution
v_2{2}, 3-subevent, 0.5<pT<5.0 GeV
v_2{2}, 3-subevent, 1.0<pT<5.0 GeV
v_2{2}, 3-subevent, 1.5<pT<5.0 GeV
v_2{2}, 3-subevent, 2.0<pT<5.0 GeV
v_3{2}, 3-subevent, 0.5<pT<5.0 GeV
v_3{2}, 3-subevent, 1.0<pT<5.0 GeV
v_3{2}, 3-subevent, 1.5<pT<5.0 GeV
v_3{2}, 3-subevent, 2.0<pT<5.0 GeV
v_4{2}, 3-subevent, 0.5<pT<5.0 GeV
v_4{2}, 3-subevent, 1.0<pT<5.0 GeV
v_4{2}, 3-subevent, 1.5<pT<5.0 GeV
v_4{2}, 3-subevent, 2.0<pT<5.0 GeV
nc_2{4}, standard, 0.5<pT<5.0 GeV
nc_2{4}, standard, 1.0<pT<5.0 GeV
nc_2{4}, standard, 1.5<pT<5.0 GeV
nc_2{4}, standard, 2.0<pT<5.0 GeV
nc_3{4}, standard, 0.5<pT<5.0 GeV
nc_3{4}, standard, 1.0<pT<5.0 GeV
nc_3{4}, standard, 1.5<pT<5.0 GeV
nc_3{4}, standard, 2.0<pT<5.0 GeV
nc_4{4}, standard, 0.5<pT<5.0 GeV
nc_4{4}, standard, 1.0<pT<5.0 GeV
nc_4{4}, standard, 1.5<pT<5.0 GeV
nc_4{4}, standard, 2.0<pT<5.0 GeV
nc_2{4}, 3-subevent, 0.5<pT<5.0 GeV
nc_2{4}, 3-subevent, 1.0<pT<5.0 GeV
nc_2{4}, 3-subevent, 1.5<pT<5.0 GeV
nc_2{4}, 3-subevent, 2.0<pT<5.0 GeV
nc_3{4}, 3-subevent, 0.5<pT<5.0 GeV
nc_3{4}, 3-subevent, 1.0<pT<5.0 GeV
nc_3{4}, 3-subevent, 1.5<pT<5.0 GeV
nc_3{4}, 3-subevent, 2.0<pT<5.0 GeV
nc_4{4}, 3-subevent, 0.5<pT<5.0 GeV
nc_4{4}, 3-subevent, 1.0<pT<5.0 GeV
nc_4{4}, 3-subevent, 1.5<pT<5.0 GeV
nc_4{4}, 3-subevent, 2.0<pT<5.0 GeV
v_2{4} / v_2{2}, standard, 0.5<pT<5.0 GeV
v_2{4} / v_2{2}, standard, 1.0<pT<5.0 GeV
v_2{4} / v_2{2}, standard, 1.5<pT<5.0 GeV
v_2{4} / v_2{2}, standard, 2.0<pT<5.0 GeV
v_3{4} / v_3{2}, standard, 0.5<pT<5.0 GeV
v_3{4} / v_3{2}, standard, 1.0<pT<5.0 GeV
v_3{4} / v_3{2}, standard, 1.5<pT<5.0 GeV
v_3{4} / v_3{2}, standard, 2.0<pT<5.0 GeV
v_4{4} / v_4{2}, standard, 0.5<pT<5.0 GeV
v_4{4} / v_4{2}, standard, 1.0<pT<5.0 GeV
v_4{4} / v_4{2}, standard, 1.5<pT<5.0 GeV
v_4{4} / v_4{2}, standard, 2.0<pT<5.0 GeV
nc_2{6}, standard, 0.5<pT<5.0 GeV
nc_2{6}, standard, 1.0<pT<5.0 GeV
nc_2{6}, standard, 1.5<pT<5.0 GeV
nc_2{6}, standard, 2.0<pT<5.0 GeV
nc_3{6}, standard, 0.5<pT<5.0 GeV
nc_3{6}, standard, 1.0<pT<5.0 GeV
nc_3{6}, standard, 1.5<pT<5.0 GeV
nc_3{6}, standard, 2.0<pT<5.0 GeV
nc_4{6}, standard, 0.5<pT<5.0 GeV
nc_4{6}, standard, 1.0<pT<5.0 GeV
nc_4{6}, standard, 1.5<pT<5.0 GeV
nc_4{6}, standard, 2.0<pT<5.0 GeV
v_2{6} / v_2{4}, standard, 0.5<pT<5.0 GeV
v_2{6} / v_2{4}, standard, 1.0<pT<5.0 GeV
v_2{6} / v_2{4}, standard, 1.5<pT<5.0 GeV
v_2{6} / v_2{4}, standard, 2.0<pT<5.0 GeV
c_1{4}, standard, 0.5<pT<5.0 GeV
c_1{4}, standard, 1.0<pT<5.0 GeV
c_1{4}, standard, 1.5<pT<5.0 GeV
c_1{4}, standard, 2.0<pT<5.0 GeV
c_1{4}, 3-subevent, 0.5<pT<5.0 GeV
c_1{4}, 3-subevent, 1.0<pT<5.0 GeV
c_1{4}, 3-subevent, 1.5<pT<5.0 GeV
c_1{4}, 3-subevent, 2.0<pT<5.0 GeV
v_1{4}, standard, 1.5<pT<5.0 GeV
v_1{4}, standard, 2.0<pT<5.0 GeV
v_1{4}, 3-subevent, 1.5<pT<5.0 GeV
v_1{4}, 3-subevent, 2.0<pT<5.0 GeV
nsc_2_3{4}, standard, 0.5<pT<5.0 GeV
nsc_2_3{4}, standard, 1.0<pT<5.0 GeV
nsc_2_3{4}, standard, 1.5<pT<5.0 GeV
nsc_2_3{4}, standard, 2.0<pT<5.0 GeV
nsc_2_3{4}, 3-subevent, 0.5<pT<5.0 GeV
nsc_2_3{4}, 3-subevent, 1.0<pT<5.0 GeV
nsc_2_3{4}, 3-subevent, 1.5<pT<5.0 GeV
nsc_2_3{4}, 3-subevent, 2.0<pT<5.0 GeV
nsc_2_4{4}, standard, 0.5<pT<5.0 GeV
nsc_2_4{4}, standard, 1.0<pT<5.0 GeV
nsc_2_4{4}, standard, 1.5<pT<5.0 GeV
nsc_2_4{4}, standard, 2.0<pT<5.0 GeV
nsc_2_4{4}, 3-subevent, 0.5<pT<5.0 GeV
nsc_2_4{4}, 3-subevent, 1.0<pT<5.0 GeV
nsc_2_4{4}, 3-subevent, 1.5<pT<5.0 GeV
nsc_2_4{4}, 3-subevent, 2.0<pT<5.0 GeV
nac_2{3}, standard, 0.5<pT<5.0 GeV
nac_2{3}, standard, 1.0<pT<5.0 GeV
nac_2{3}, standard, 1.5<pT<5.0 GeV
nac_2{3}, standard, 2.0<pT<5.0 GeV
nac_2{3}, 3-subevent, 0.5<pT<5.0 GeV
nac_2{3}, 3-subevent, 1.0<pT<5.0 GeV
nac_2{3}, 3-subevent, 1.5<pT<5.0 GeV
nac_2{3}, 3-subevent, 2.0<pT<5.0 GeV
v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_2{2, Et}, 3-subevent, 1.0<pT<5.0 GeV
v_2{2, Et}, 3-subevent, 1.5<pT<5.0 GeV
v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_3{2, Et}, 3-subevent, 1.0<pT<5.0 GeV
v_3{2, Et}, 3-subevent, 1.5<pT<5.0 GeV
v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_4{2, Et}, 3-subevent, 1.0<pT<5.0 GeV
v_4{2, Et}, 3-subevent, 1.5<pT<5.0 GeV
v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_2{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV
v_2{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV
v_2{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV
v_2{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV
v_3{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV
v_3{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV
v_3{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV
v_3{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV
v_4{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV
v_4{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV
v_4{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV
v_4{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV
v_2{2, Nch} / v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_2{2, Nch} / v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_3{2, Nch} / v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_3{2, Nch} / v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_4{2, Nch} / v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_4{2, Nch} / v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_2{2, Nch} / v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_2{2, Nch} / v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_3{2, Nch} / v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_3{2, Nch} / v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
v_4{2, Nch} / v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV
v_4{2, Nch} / v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV
nc_2{4, Et}, standard, 0.5<pT<5.0 GeV
nc_2{4, Et}, standard, 1.0<pT<5.0 GeV
nc_2{4, Et}, standard, 1.5<pT<5.0 GeV
nc_2{4, Et}, standard, 2.0<pT<5.0 GeV
nc_3{4, Et}, standard, 0.5<pT<5.0 GeV
nc_3{4, Et}, standard, 1.0<pT<5.0 GeV
nc_3{4, Et}, standard, 1.5<pT<5.0 GeV
nc_3{4, Et}, standard, 2.0<pT<5.0 GeV
nc_4{4, Et}, standard, 0.5<pT<5.0 GeV
nc_4{4, Et}, standard, 1.0<pT<5.0 GeV
nc_4{4, Et}, standard, 1.5<pT<5.0 GeV
nc_4{4, Et}, standard, 2.0<pT<5.0 GeV
nc_2{4, Nch}, standard, 0.5<pT<5.0 GeV
nc_2{4, Nch}, standard, 1.0<pT<5.0 GeV
nc_2{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_2{4, Nch}, standard, 2.0<pT<5.0 GeV
nc_3{4, Nch}, standard, 0.5<pT<5.0 GeV
nc_3{4, Nch}, standard, 1.0<pT<5.0 GeV
nc_3{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_3{4, Nch}, standard, 2.0<pT<5.0 GeV
nc_4{4, Nch}, standard, 0.5<pT<5.0 GeV
nc_4{4, Nch}, standard, 1.0<pT<5.0 GeV
nc_4{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_4{4, Nch}, standard, 2.0<pT<5.0 GeV
nc_2{4, Et}, standard, 1.5<pT<5.0 GeV
nc_2{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_3{4, Et}, standard, 1.5<pT<5.0 GeV
nc_3{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_4{4, Et}, standard, 1.5<pT<5.0 GeV
nc_4{4, Nch}, standard, 1.5<pT<5.0 GeV
nc_2{6, Et}, standard, 0.5<pT<5.0 GeV
nc_2{6, Et}, standard, 1.0<pT<5.0 GeV
nc_2{6, Et}, standard, 1.5<pT<5.0 GeV
nc_2{6, Et}, standard, 2.0<pT<5.0 GeV
nc_2{6, Nch}, standard, 0.5<pT<5.0 GeV
nc_2{6, Nch}, standard, 1.0<pT<5.0 GeV
nc_2{6, Nch}, standard, 1.5<pT<5.0 GeV
nc_2{6, Nch}, standard, 2.0<pT<5.0 GeV
nc_2{6, Et}, standard, 1.5<pT<5.0 GeV
nc_2{6, Nch}, standard, 1.5<pT<5.0 GeV
v_2{6, Et} / v_2{4, Et}, standard, 0.5<pT<5.0 GeV
v_2{6, Et} / v_2{4, Et}, standard, 1.0<pT<5.0 GeV
v_2{6, Et} / v_2{4, Et}, standard, 1.5<pT<5.0 GeV
v_2{6, Et} / v_2{4, Et}, standard, 2.0<pT<5.0 GeV
v_2{6, Nch} / v_2{4, Nch}, standard, 0.5<pT<5.0 GeV
v_2{6, Nch} / v_2{4, Nch}, standard, 1.0<pT<5.0 GeV
v_2{6, Nch} / v_2{4, Nch}, standard, 1.5<pT<5.0 GeV
v_2{6, Nch} / v_2{4, Nch}, standard, 2.0<pT<5.0 GeV
nsc_2_3{4, Et}, standard, 0.5<pT<5.0 GeV
nsc_2_3{4, Et}, standard, 1.0<pT<5.0 GeV
nsc_2_3{4, Et}, standard, 1.5<pT<5.0 GeV
nsc_2_3{4, Et}, standard, 2.0<pT<5.0 GeV
nsc_2_4{4, Et}, standard, 0.5<pT<5.0 GeV
nsc_2_4{4, Et}, standard, 1.0<pT<5.0 GeV
nsc_2_4{4, Et}, standard, 1.5<pT<5.0 GeV
nsc_2_4{4, Et}, standard, 2.0<pT<5.0 GeV
nac_2{3, Et}, standard, 0.5<pT<5.0 GeV
nac_2{3, Et}, standard, 1.0<pT<5.0 GeV
nac_2{3, Et}, standard, 1.5<pT<5.0 GeV
nac_2{3, Et}, standard, 2.0<pT<5.0 GeV
nsc_2_3{4, Nch}, standard, 0.5<pT<5.0 GeV
nsc_2_3{4, Nch}, standard, 1.0<pT<5.0 GeV
nsc_2_3{4, Nch}, standard, 1.5<pT<5.0 GeV
nsc_2_3{4, Nch}, standard, 2.0<pT<5.0 GeV
nsc_2_4{4, Nch}, standard, 0.5<pT<5.0 GeV
nsc_2_4{4, Nch}, standard, 1.0<pT<5.0 GeV
nsc_2_4{4, Nch}, standard, 1.5<pT<5.0 GeV
nsc_2_4{4, Nch}, standard, 2.0<pT<5.0 GeV
nac_2{3, Nch}, standard, 0.5<pT<5.0 GeV
nac_2{3, Nch}, standard, 1.0<pT<5.0 GeV
nac_2{3, Nch}, standard, 1.5<pT<5.0 GeV
nac_2{3, Nch}, standard, 2.0<pT<5.0 GeV
nsc_2_3{4, Et}, standard, 1.5<pT<5.0 GeV
nsc_2_3{4, Nch}, standard, 1.5<pT<5.0 GeV
nsc_2_4{4, Et}, standard, 1.5<pT<5.0 GeV
nsc_2_4{4, Nch}, standard, 1.5<pT<5.0 GeV
nac_2{3, Et}, standard, 1.5<pT<5.0 GeV
nac_2{3, Nch}, standard, 1.5<pT<5.0 GeV
v_2{4}, standard, 0.5<pT<5.0 GeV
v_2{4}, standard, 1.0<pT<5.0 GeV
v_2{4}, standard, 1.5<pT<5.0 GeV
v_2{4}, standard, 2.0<pT<5.0 GeV
v_2{4, Et}, standard, 0.5<pT<5.0 GeV
v_2{4, Et}, standard, 1.0<pT<5.0 GeV
v_2{4, Et}, standard, 1.5<pT<5.0 GeV
v_2{4, Et}, standard, 2.0<pT<5.0 GeV
v_2{4, Nch}, standard, 0.5<pT<5.0 GeV
v_2{4, Nch}, standard, 1.0<pT<5.0 GeV
v_2{4, Nch}, standard, 1.5<pT<5.0 GeV
v_2{4, Nch}, standard, 2.0<pT<5.0 GeV
v_3{4}, standard, 0.5<pT<5.0 GeV
v_3{4}, standard, 1.0<pT<5.0 GeV
v_3{4}, standard, 1.5<pT<5.0 GeV
v_3{4}, standard, 2.0<pT<5.0 GeV
v_3{4, Et}, standard, 0.5<pT<5.0 GeV
v_3{4, Et}, standard, 1.0<pT<5.0 GeV
v_3{4, Et}, standard, 1.5<pT<5.0 GeV
v_3{4, Et}, standard, 2.0<pT<5.0 GeV
v_3{4, Nch}, standard, 0.5<pT<5.0 GeV
v_3{4, Nch}, standard, 1.0<pT<5.0 GeV
v_3{4, Nch}, standard, 1.5<pT<5.0 GeV
v_3{4, Nch}, standard, 2.0<pT<5.0 GeV
v_4{4}, standard, 0.5<pT<5.0 GeV
v_4{4}, standard, 1.0<pT<5.0 GeV
v_4{4}, standard, 1.5<pT<5.0 GeV
v_4{4}, standard, 2.0<pT<5.0 GeV
v_4{4, Et}, standard, 0.5<pT<5.0 GeV
v_4{4, Et}, standard, 1.0<pT<5.0 GeV
v_4{4, Et}, standard, 1.5<pT<5.0 GeV
v_4{4, Et}, standard, 2.0<pT<5.0 GeV
v_4{4, Nch}, standard, 0.5<pT<5.0 GeV
v_4{4, Nch}, standard, 1.0<pT<5.0 GeV
v_4{4, Nch}, standard, 1.5<pT<5.0 GeV
v_4{4, Nch}, standard, 2.0<pT<5.0 GeV
v_2{6}, standard, 0.5<pT<5.0 GeV
v_2{6}, standard, 1.0<pT<5.0 GeV
v_2{6}, standard, 1.5<pT<5.0 GeV
v_2{6}, standard, 2.0<pT<5.0 GeV
v_2{6, Et}, standard, 0.5<pT<5.0 GeV
v_2{6, Et}, standard, 1.0<pT<5.0 GeV
v_2{6, Et}, standard, 1.5<pT<5.0 GeV
v_2{6, Et}, standard, 2.0<pT<5.0 GeV
v_2{6, Nch}, standard, 0.5<pT<5.0 GeV
v_2{6, Nch}, standard, 1.0<pT<5.0 GeV
v_2{6, Nch}, standard, 1.5<pT<5.0 GeV
v_2{6, Nch}, standard, 2.0<pT<5.0 GeV
sc_2_3{4}, standard, 0.5<pT<5.0 GeV
sc_2_3{4}, standard, 1.0<pT<5.0 GeV
sc_2_3{4}, standard, 1.5<pT<5.0 GeV
sc_2_3{4}, standard, 2.0<pT<5.0 GeV
sc_2_3{4}, 3-subevent, 0.5<pT<5.0 GeV
sc_2_3{4}, 3-subevent, 1.0<pT<5.0 GeV
sc_2_3{4}, 3-subevent, 1.5<pT<5.0 GeV
sc_2_3{4}, 3-subevent, 2.0<pT<5.0 GeV
sc_2_4{4}, standard, 0.5<pT<5.0 GeV
sc_2_4{4}, standard, 1.0<pT<5.0 GeV
sc_2_4{4}, standard, 1.5<pT<5.0 GeV
sc_2_4{4}, standard, 2.0<pT<5.0 GeV
sc_2_4{4}, 3-subevent, 0.5<pT<5.0 GeV
sc_2_4{4}, 3-subevent, 1.0<pT<5.0 GeV
sc_2_4{4}, 3-subevent, 1.5<pT<5.0 GeV
sc_2_4{4}, 3-subevent, 2.0<pT<5.0 GeV
ac_2{3}, standard, 0.5<pT<5.0 GeV
ac_2{3}, standard, 1.0<pT<5.0 GeV
ac_2{3}, standard, 1.5<pT<5.0 GeV
ac_2{3}, standard, 2.0<pT<5.0 GeV
ac_2{3}, 3-subevent, 0.5<pT<5.0 GeV
ac_2{3}, 3-subevent, 1.0<pT<5.0 GeV
ac_2{3}, 3-subevent, 1.5<pT<5.0 GeV
ac_2{3}, 3-subevent, 2.0<pT<5.0 GeV
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$-$3.6 TeV, the dark-matter mediators in a simplified framework are excluded in the mass ranges from 0.8 TeV to 0.9 TeV and from 2.0 TeV to 2.2 TeV, and the Kaluza-Klein gluon is excluded for masses up to 3.4 TeV, depending on the decay widths of the particles.
Acceptance times selection efficiency for topcolor-assisted-technicolor Z$^{\prime}_{TC2}$ as a function of top-quark pair mass for all regions A–D in the resolved analysis and the combination of all SRs in the boosted analysis.
Acceptance times selection efficiency for Kaluza-Klein graviton as a function of top-quark pair mass for all regions A–D in the resolved analysis and the combination of all SRs in the boosted analysis.
Acceptance times selection efficiency for Kaluza-Klein gluon Γ=30% as a function of top-quark pair mass for all regions A–D in the resolved analysis and the combination of all SRs in the boosted analysis.
Observed top-quark mass distribution and expected background in Region A after the fit (Post-Fit) under the background-only hypothesis for the resolved analysis.
Observed top-quark mass distribution and expected background in Region B after the fit (Post-Fit) under the background-only hypothesis for the resolved analysis.
Observed top-quark mass distribution and expected background in Region C after the fit (Post-Fit) under the background-only hypothesis for the resolved analysis.
Observed top-quark mass distribution and expected background in Region D after the fit (Post-Fit) under the background-only hypothesis for the resolved analysis.
Observed top-quark mass distribution and expected background in Region SR1 Medium 1b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR1 Medium 2b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR1 Tight 1b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR1 Tight 2b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR2 Medium 1b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR2 Medium 2b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR2 Tight 1b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Observed top-quark mass distribution and expected background in Region SR2 Tight 2b after the fit (Post-Fit) under the background-only hypothesis for the boosted analysis.
Expected and observed upper limits on the cross-section times branching fraction of topcolor-assisted-technicolor Z$^{\prime}_{TC2}$ decaying into top-quark pair as a function of the Z$^{\prime}_{TC2}$ mass.
Expected and observed upper limits on the cross-section times branching fraction of A1 axial-vector mediator decaying into top-quark pair as a function of the mediator mass.
Expected and observed upper limits on the cross-section times branching fraction of V1 vector mediator decaying into top-quark pair as a function of the mediator mass.
Expected and observed upper limits on the cross-section times branching fraction of Kaluza-Klein graviton decaying into top-quark pair as a function of the graviton mass.
Expected and observed upper limits on the cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the gluon mass.
Expected and observed upper limits on cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the width of Kaluza-Klein gluon for masses of 0.5 TeV.
Expected and observed upper limits on cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the width of Kaluza-Klein gluon for masses of 1 TeV.
Expected and observed upper limits on cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the width of Kaluza-Klein gluon for masses of 1.5 TeV.
Expected upper limits on cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the width of Kaluza-Klein gluon for masses of 2 TeV.
Expected upper limits on cross-section times branching fraction of Kaluza-Klein gluon decaying into top-quark pair as a function of the width of Kaluza-Klein gluon for masses of 5 TeV.
This paper presents a measurement of the $W$ boson production cross section and the $W^{+}/W^{-}$ cross-section ratio, both in association with jets, in proton--proton collisions at $\sqrt{s}=8$ TeV with the ATLAS experiment at the Large Hadron Collider. The measurement is performed in final states containing one electron and missing transverse momentum using data corresponding to an integrated luminosity of 20.2 fb$^{-1}$. Differential cross sections for events with one or two jets are presented for a range of observables, including jet transverse momenta and rapidities, the scalar sum of transverse momenta of the visible particles and the missing transverse momentum in the event, and the transverse momentum of the $W$ boson. For a subset of the observables, the differential cross sections of positively and negatively charged $W$ bosons are measured separately. In the cross-section ratio of $W^{+}/W^{-}$ the dominant systematic uncertainties cancel out, improving the measurement precision by up to a factor of nine. The observables and ratios selected for this paper provide valuable input for the up quark, down quark, and gluon parton distribution functions of the proton.
Cross section for the production of W bosons for different inclusive jet multiplicities.
Statistical correlation between bins in data for the cross section for the production of W bosons for different inclusive jet multiplicities.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the inclusive jet multiplicity.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Cross section for the production of W bosons as a function of exclusive jet multiplicity.
Statistical correlation between bins in data for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 0.
Differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross section for the production of W bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Differential cross sections for the production of W<sup>+</sup> bosons, W<sup>-</sup> bosons and the W<sup>+</sup>/W<sup>-</sup> cross section ratio as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>+</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
Statistical correlation between bins in data for the differential cross sections for the production of W<sup>-</sup> bosons as a function of the electron η for events with N<sub> jets</sub> ≥ 1.
List of experimentally considered systematic uncertainties for the W+jets cross section measurement
Non-perturbative corrections for the cross section for the production of W bosons for different inclusive jet multiplicities.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the inclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of second leading jet rapidity for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of Δ R<sub>jet1,jet2</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of dijet invariant mass for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the cross section for the production of W bosons as a function of exclusive jet multiplicity.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross section for the production of W bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
Non-perturbative corrections for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 2.
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the H<sub> T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the W p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet p<sub>T</sub> for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
NNLO/NLO k-factors determined with NNLO Njetti for the differential cross sections for the production of W<sup>+</sup> bosons and W<sup>-</sup> bosons as a function of the leading jet rapidity for events with N<sub> jets</sub> ≥ 1. These numbers were obtained with code described in Phys. Rev. Lett. 115 (2015) 062002 [arXiv:1504.02131].
This paper presents a measurement of forward-forward and forward-central dijet azimuthal angular correlations and conditional yields in proton-proton ($pp$) and proton-lead ($p$+Pb) collisions as a probe of the nuclear gluon density in regions where the fraction of the average momentum per nucleon carried by the parton entering the hard scattering is low. In these regions, gluon saturation can modify the rapidly increasing parton distribution function of the gluon. The analysis utilizes 25 pb$^{-1}$ of $pp$ data and 360 $\mu \mathrm{b}^{-1}$ of $p$+Pb data, both at $\sqrt{s_{\rm NN}}$ = 5.02 TeV, collected in 2015 and 2016, respectively, with the ATLAS detector at the LHC. The measurement is performed in the center-of-mass frame of the nucleon-nucleon system in the rapidity range between $-$4.0 and 4.0 using the two highest transverse momentum jets in each event, with the highest transverse momentum jet restricted to the forward rapidity range. No significant broadening of azimuthal angular correlations is observed for forward-forward or forward-central dijets in $p$+Pb compared to $pp$ collisions. For forward-forward jet pairs in the proton-going direction, the ratio of conditional yields in $p$+Pb collisions to those in $pp$ collisions is suppressed by approximately 20%, with no significant dependence on the transverse momentum of the dijet system. No modification of conditional yields is observed for forward-central dijets.
Unfolded azimuthal angular correlation distributions. Black markers represent p+Pb, red markers p+p
Unfolded width of azimuthal angular correlation distributions. Full markers represent p+Pb, open markers p+p
Unfolded Dijet conditional yields. Full markers represent p+Pb, open markers p+p
Ratio of unfolded width of azimuthal angular correlation distributions (P PB/ P P). Different colors correspond to different combinations of p_{T,1} and p_{T,2}
Ratio of unfolded Dijet conditional yields (P PB/ P P). Different colors correspond to different combinations of p_{T,1} and p_{T,2}
Unfolded width of azimuthal angular correlation distributions (Delta p_{T} > 3). Full markers represent p+Pb, open markers p+p
Unfolded Dijet conditional yields (Delta p_{T} > 3). Full markers represent p+Pb, open markers p+p
Ratio of unfolded width of azimuthal angular correlation distributions (P PB/ P P) (Delta p_{T} > 3). Different colors correspond to different combinations of p_{T,1} and p_{T,2}
Ratio of unfolded Dijet conditional yields (P PB/ P P) (Delta p_{T} > 3). Different colors correspond to different combinations of p_{T,1} and p_{T,2}
Unfolded azimuthal angular correlation distributions. Black markers represent p+Pb, red markers p+p
Unfolded azimuthal angular correlation distributions (Delta p_{T} > 3). Black markers represent p+Pb, red markers p+p
The modification of the production of $J/\psi$, $\psi(\mathrm{2S})$, and $\mit{\Upsilon}(n\mathrm{S})$ ($n = 1, 2, 3$) in $p$+Pb collisions with respect to their production in $pp$ collisions has been studied. The $p$+Pb and $pp$ datasets used in this paper correspond to integrated luminosities of $28$ $\mathrm{nb}^{-1}$ and $25$ $\mathrm{pb}^{-1}$ respectively, collected in 2013 and 2015 by the ATLAS detector at the LHC, both at a centre-of-mass energy per nucleon pair of 5.02 TeV. The quarkonium states are reconstructed in the dimuon decay channel. The yields of $J/\psi$ and $\psi(\mathrm{2S})$ are separated into prompt and non-prompt sources. The measured quarkonium differential cross sections are presented as a function of rapidity and transverse momentum, as is the nuclear modification factor, $R_{p\mathrm{Pb}}$ for $J/\psi$ and $\mit{\Upsilon}(\mathrm{1S})$. No significant modification of the $J/\psi$ production is observed while $\mit{\Upsilon}(\mathrm{1S})$ production is found to be suppressed at low transverse momentum in $p$+Pb collisions relative to $pp$ collisions. The production of excited charmonium and bottomonium states is found to be suppressed relative to that of the ground states in central $p$+Pb collisions.
Summary of results for cross-section of non-prompt J/psi decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of non-prompt psi(2S) decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of prompt J/psi decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of prompt psi(2S) decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of Upsilon(1S) decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of Upsilon(2S) decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of Upsilon(3S) decaying to a muon pair in pp collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of J/psi decaying to a muon pair in p+Pb collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of psi(2S) decaying to a muon pair in p+Pb collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of J/psi decaying to a muon pair in p+Pb collisions at 5.02 TeV as a function of center-of-mass rapdiity in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of psi(2S) decaying to a muon pair in p+Pb collisions at 5.02 TeV as a function of center-of-mass rapdiity in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of Upsilon(nS) decaying to a muon pair in p+Pb collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for cross-section of Upsilon(nS) decaying to a muon pair in p+Pb collisions at 5.02 TeV in nb/GeV. Uncertainties are statistical and systematic, respectively.
Summary of results for RpPb of prompt J/psi in p+Pb collisions at 5.02 TeV as a function of pT. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of non-prompt J/psi in p+Pb collisions at 5.02 TeV as a function of pT. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of prompt J/psi in p+Pb collisions at 5.02 TeV as a function of ystar. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of non-prompt J/psi in p+Pb collisions at 5.02 TeV as a function of ystar. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of Upsilon(1S) in p+Pb collisions at 5.02 TeV as a function of pT. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of Upsilon(1S) in p+Pb collisions at 5.02 TeV as a function of ystar. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for RpPb of quarkonia (prompt J/psi, non-prompt J/psi, prompt psi(2S), Upsilon(1S)) to RpPb of Z ratio in p+Pb collisions at 5.02 TeV as a function of centrality. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for quarkonia self-normalized yields in p+Pb collisions at 5.02 TeV as a function of self-normalized event activity. Uncertainties are statistical and systematic, respectively.
Summary of results for prompt Psi(2S) to J/psi double ratio in p+Pb collisions at 5.02 TeV as a function of center-of-mass rapidity. Uncertainties are statistical and systematic, respectively.
Summary of results for Upsilon(2S) and Upsilon(3S) to Upsilon(1S) double ratio in p+Pb collisions at 5.02 TeV. Uncertainties are statistical and systematic, respectively.
Summary of results for prompt Psi(2S) and J/psi double ratio in p+Pb collisions at 5.02 TeV as a function of centrality. Uncertainties are statistical and local systematic and global systematic, respectively.
Summary of results for Upsilon(2S) and Upsilon(3S) to Upsilon(1S) double ratio in p+Pb collisions at 5.02 TeV as a function of centrality. Uncertainties are statistical and local systematic and global systematic, respectively.
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.
The measured fiducial cross section in the single lepton channel. The first uncertainty is the statistical uncertainty and the second one is the systematic uncertainty.
The measured fiducial cross section in the dilepton channel. The first uncertainty is the statistical uncertainty and the second one is the systematic uncertainty.
The measured normalized differential cross section as a function of the photon pT in the single lepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of the photon $|\eta|$ in the single lepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of the $\Delta R$ between the photon and the lepton in the single lepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of the photon pT in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of the photon $|\eta|$ in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of minimum $\Delta R) between the photon and the leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of $|\Delta\eta|$ between the two leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The measured normalized differential cross section as a function of $\Delta\phi$ between the two leptons in the dilepton channel. The uncertainty is decomposed into five components which are the signal modelling uncertainty, the experimental uncertainty, the ttbar modelling uncertainty, the other background estimation uncertainty, and the data statistical uncertainty.
The total correlation matrix of the measured normalized differential cross section as a function of the photon pT in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the photon $|\eta|$ in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the $\Delta R$ between the photon and the lepton in the single lepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the photon pT in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the photon $|\eta|$ in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the minimum $\Delta R$ between the photon and the leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the $|\Delta\eta|$ between the two leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The total correlation matrix of the measured normalized differential cross section as a function of the $\Delta\phi$ between the two leptons in the dilepton channel. The individual systematic uncertainties are symmetrized before deriving the correlation matrix.
The statistical correlation matrix of all the measured normalized differential cross sections in the single lepton channel.
The statistical correlation matrix of all the measured normalized differential cross sections in the dilepton channel.
This paper presents a measurement of jet fragmentation functions in 0.49 nb$^{-1}$ of Pb+Pb collisions and 25 pb$^{-1}$ of $pp$ collisions at $\sqrt{s_{NN}} = 5.02$ TeV collected in 2015 with the ATLAS detector at the LHC. These measurements provide insight into the jet quenching process in the quark-gluon plasma created in the aftermath of ultra-relativistic collisions between two nuclei. The modifications to the jet fragmentation functions are quantified by dividing the measurements in Pb+Pb collisions by baseline measurements in $pp$ collisions. This ratio is studied as a function of the transverse momentum of the jet, the jet rapidity, and the centrality of the collision. In both collision systems, the jet fragmentation functions are measured for jets with transverse momentum between 126 GeV and 398 GeV and with an absolute value of jet rapidity less than 2.1. An enhancement of particles carrying a small fraction of the jet momentum is observed, which increases with centrality and with increasing jet transverse momentum. Yields of particles carrying a very large fraction of the jet momentum are also observed to be enhanced. Between these two enhancements of the fragmentation functions a suppression of particles carrying an intermediate fraction of the jet momentum is observed in Pb+Pb collisions. A small dependence of the modifications on jet rapidity is observed.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Excess transverse momenta in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Excess particles in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 126 < pTJet < 158.5 GeV.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 158.5 < pTJet < 199.5 GeV.
Excess transverse momenta in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 199.5 < pTJet < 251.8 GeV.
Excess particles in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 126 < pTJet < 158.5 GeV.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 158.5 < pTJet < 199.5 GeV.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 199.5 < pTJet < 251.8 GeV.
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 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 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 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 FigAux 4 and FigAux 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 FigAux 4 and FigAux 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 FigAux 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 FigAux 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 FigAux 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 FigAux 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 FigAux 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 FigAux 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 $p_T$.
Data from FigAux 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.
This paper presents measurements of $W^{\pm}Z$ production cross sections in $pp$ collisions at a centre-of-mass energy of 13 TeV. The data were collected in 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider, and correspond to an integrated luminosity of 36.1 fb$^{-1}$. The $W^{\pm}Z$ candidate events are reconstructed using leptonic decay modes of the gauge bosons into electrons and muons. The measured inclusive cross section in the detector fiducial region for a single leptonic decay mode is $\sigma_{W^\pm Z \rightarrow \ell^{'} \nu \ell \ell}^{\textrm{fid.}} = 63.7 \pm 1.0$ (stat.) $\pm 2.3$ (syst.) $\pm 1.4$ (lumi.) fb, reproduced by the next-to-next-to-leading-order Standard Model prediction of $61.5^{+1.4}_{-1.3}$ fb. Cross sections for $W^+Z$ and $W^-Z$ production and their ratio are presented as well as differential cross sections for several kinematic observables. An analysis of angular distributions of leptons from decays of $W$ and $Z$ bosons is performed for the first time in pair-produced events in hadronic collisions, and integrated helicity fractions in the detector fiducial region are measured for the $W$ and $Z$ bosons separately. Of particular interest, the longitudinal helicity fraction of pair-produced vector bosons is also measured.
The measured $W^{\pm}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured $W^{+}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured $W^{-}Z$ fiducial cross section in the four channels and their combination. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity uncertainty, the second is the modelling uncertainty, the third is luminosity uncertainty.
The measured fiducial cross sections are corrected to the dressed level. The ratio of $C_{WZ}^{\textrm{dressed}}/C_{WZ}^{\textrm{Born}}$ factors presented in this table can be used to correct fiducial integrated cross sections from dressed to Born level.
Ratio of fiducial cross sections measured for $W^{+} Z$ and $W^{-} Z$ production.
Cross section extrapolated to total phase space and all W and Z boson decays. The first systematic uncertainty is the combined systematic uncertainty excluding theory and luminosity uncertainties, the second is the theory uncertainty and the third is the luminosity uncertainty.
The total cross section is measured at dressed level and can also be corrected to Born level use this acceptance correction factor.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
Measured fiducial cross section for a single leptonic decay channel $\ell'^\pm \nu \ell^+ \ell'^-$ of the $W The relative uncertainties are reported as percentages. The systematic uncertainties are in order of appearance: total uncorrelated systematic and correlated systematics related respectively to unfolding, electrons, muons, jets, reducible and irreducible backgrounds and pileup. the last bin is a cross section for all events above the lower end of the bin.
Correlation matrix for the unfolded cross section.
5: Measured helicity fractions in the fiducial phase space with Born level leptons, for $W^-$, $W^+Z$ and $W^{\pm}Z$ events. The total uncertainties on the measurements are reported.
This paper describes a search for pairs of neutral, long-lived particles decaying in the ATLAS calorimeter. Long-lived particles occur in many extensions to the Standard Model and may elude searches for new promptly decaying particles. The analysis considers neutral, long-lived scalars with masses between 5 GeV and 400 GeV, produced from decays of heavy bosons with masses between 125 GeV and 1000 GeV, where the long-lived scalars decay into Standard Model fermions. The analysis uses either 10.8 fb$^{-1}$ or 33.0 fb$^{-1}$ of data (depending on the trigger) recorded in 2016 at the LHC with the ATLAS detector in proton-proton collisions at a centre-of-mass energy of 13 TeV. No significant excess is observed, and limits are reported on the production cross section times branching ratio as a function of the proper decay length of the long-lived particles.
Trigger efficiency of simulated signal events as a function of the LLP $p_T$ for a selection of signal samples.
Trigger efficiency of simulated signal events as a function of the LLP decay position in the $x-y$ plane for LLPs decaying in the HCal barrel for three signal samples.
Trigger efficiency of simulated signal events as a function of the LLP decay position in the $z$ direction for LLPs decaying in the HCal endcaps for three signal samples.
Sequential impact of each requirement on the number of events passing the selection for the high-$E_T$ analysis.
Sequential impact of each requirement on the number of events passing the selection for the low-$E_T$ analysis.
Application of the modified ABCD method to the final high-$E_T$ and low-$E_T$ selections.
The extrapolated signal efficiencies as a function of proper decay length of the $s$ for several simulated samples in the low-$E_T$ selections.
The extrapolated signal efficiencies as a function of proper decay length of the $s$ for several simulated samples in the high-$E_T$ selections.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 5 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 15 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 40 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 55 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 100 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.
The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 400 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 5 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 15 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 40 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 100 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.
Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 400 ~\mathrm{GeV}$.
A search for strongly produced supersymmetric particles using signatures involving multiple energetic jets and either two isolated same-sign leptons ($e$ or $\mu$), or at least three isolated leptons, is presented. The analysis relies on the identification of $b$-jets and high missing transverse momentum to achieve good sensitivity. A data sample of proton--proton collisions at $\sqrt{s}= 13$ TeV recorded with the ATLAS detector at the Large Hadron Collider in 2015 and 2016, corresponding to a total integrated luminosity of 36.1 fb$^{-1}$, is used for the search. No significant excess over the Standard Model prediction is observed. The results are interpreted in several simplified supersymmetric models featuring $R$-parity conservation or $R$-parity violation, extending the exclusion limits from previous searches. In models considering gluino pair production, gluino masses are excluded up to 1.87 TeV at 95% confidence level. When bottom squarks are pair-produced and decay to a chargino and a top quark, models with bottom squark masses below 700 GeV and light neutralinos are excluded at 95% confidence level. In addition, model-independent limits are set on a possible contribution of new phenomena to the signal region yields.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.
Expected 95% CL exclusion contours on the lightest bottom squark and lightest neutralino masses in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$.
Observed 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$.
Observed 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$.
Expected 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$.
Expected 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$.
Observed 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$.
Observed 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$.
Expected 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$.
Expected 95% CL exclusion contours on the gluino and lightest top squark masses in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde{b}^{}_1\tilde{b}^{*}_1$ production cross-sections in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{t}^{}_\mathrm{1}\tilde{t}^{*}_\mathrm{1}$ production cross-sections in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{t}^{}_\mathrm{1}\tilde{t}^{*}_\mathrm{1}$ production cross-sections in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario with non-universal Higgs masses (NUHM2, see the publication Refs. [31-32]). The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde g\tilde g$ production cross-sections in a SUSY scenario with non-universal Higgs masses (NUHM2, see the publication Refs. [31-32]). The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{d}^{}_\mathrm{R}\tilde{d}^{*}_\mathrm{R}$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{d}^{}_\mathrm{R}\tilde{d}^{*}_\mathrm{R}$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{313}$ or $\lambda^{''}_{323}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar b\bar d / \bar b \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{d}^{}_\mathrm{R}\tilde{d}^{*}_\mathrm{R}$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Observed and expected 95% CL upper limits on $pp\to \tilde{d}^{}_\mathrm{R}\tilde{d}^{*}_\mathrm{R}$ production cross-sections in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The table also shows the signal acceptance and reconstruction efficiency for the signal region(s) with sensitivity to this scenario.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bS, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1500 GeV and $m(\tilde \chi_1^0)$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bS, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1500 GeV and $m(\tilde \chi_1^0)$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1700 GeV and $m(\tilde \chi_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via an offshell top squark, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1700 GeV and $m(\tilde \chi_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft1b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 940 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft1b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 940 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft2b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2Lsoft2b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino via offshell top squark and top quark, $\tilde g\to t\bar{b}W^{-}\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV, $m(\tilde \chi_1^\pm)$ = 1050 GeV, $m(\tilde \chi_2^0)$ = 975 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1200 GeV, $m(\tilde \chi_1^\pm)$ = 1050 GeV, $m(\tilde \chi_2^0)$ = 975 GeV and $m(\tilde \chi_1^0)$ = 900 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1600 GeV, $m(\tilde \chi_1^\pm)$ = 850 GeV, $m(\tilde \chi_2^0)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade, $\tilde g\to q\bar{q}^{'}\tilde{\chi}_1^\pm$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_2^0$ and $\tilde{\chi}_2^0\to Z\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1600 GeV, $m(\tilde \chi_1^\pm)$ = 850 GeV, $m(\tilde \chi_2^0)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde \chi_2^0)$ = 1250 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 1175 GeV and $m(\tilde \chi_1^0)$ = 1100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bS, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde \chi_2^0)$ = 1250 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 1175 GeV and $m(\tilde \chi_1^0)$ = 1100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde \chi_2^0)$ = 950 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3L0bH, in a SUSY scenario where gluinos are produced in pairs and decay into the lightest neutralino via a two-steps cascade involving sleptons, $\tilde g\to q\bar{q}\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde\ell\ell/\tilde\nu\nu$ and $\tilde\ell/\tilde\nu\to \ell/\nu\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde \chi_2^0)$ = 950 GeV, $m(\tilde\ell)=m(\tilde\nu)$ = 475 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L1bS, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 600 GeV, $m(\tilde \chi_1^\pm)$ = 350 GeV and $m(\tilde \chi_1^0)$ = 250 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L1bS, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 600 GeV, $m(\tilde \chi_1^\pm)$ = 350 GeV and $m(\tilde \chi_1^0)$ = 250 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L1bH, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 750 GeV, $m(\tilde \chi_1^\pm)$ = 200 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc2L1bH, in a SUSY scenario where pairs of bottom-antibottom squarks are produced and decay into the lightest neutralino via a chargino, $\tilde b^{}_{1}\to t\tilde{\chi}_1^-$ followed by $\tilde{\chi}_1^\pm\to W^\pm\tilde{\chi}_1^0$. The masses of the superpartners involved in the process are set to $m(\tilde{b}^{}_1)$ = 750 GeV, $m(\tilde \chi_1^\pm)$ = 200 GeV and $m(\tilde \chi_1^0)$ = 100 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3LSS1b, in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate. The masses of the superpartners involved in the process are set to $m(\tilde{t}^{}_1)$ = 700 GeV, $m(\tilde \chi_2^0)$ = 525 GeV, $m(\tilde \chi_1^\pm)\approx m(\tilde \chi_1^0)$ = 425 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpc3LSS1b, in a SUSY scenario where pairs of top-antitop squarks are produced and decay into the lightest neutralino via a two-steps cascade, $\tilde t^{}_{1}\to t\tilde{\chi}_2^0$ followed by $\tilde{\chi}_2^0\to \tilde{\chi}_1^\pm W^\mp$ and $\tilde{\chi}_1^\pm\to f\bar{f^{'}}\tilde{\chi}_1^0$. The lightest chargino and the lightest neutralino are assumed to be nearly mass-degenerate. The masses of the superpartners involved in the process are set to $m(\tilde{t}^{}_1)$ = 700 GeV, $m(\tilde \chi_2^0)$ = 525 GeV, $m(\tilde \chi_1^\pm)\approx m(\tilde \chi_1^0)$ = 425 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bH, in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{t}^{}_{1})$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bH, in a SUSY scenario where gluinos are produced in pairs and decay into a top quark and an antitop squark, which in turn decays via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$, $\lambda^{''}_{311}$ or $\lambda^{''}_{322}$, $\tilde g\to \bar{t}\tilde{t}_1$ followed by $\tilde{t}_1\to \bar s\bar d /\bar d \bar d/\bar s \bar s$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{t}^{}_{1})$ = 800 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L0b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{\chi}_1^0)$ = 500 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L0b, in a SUSY scenario where gluinos are produced in pairs and decay directly into the lightest neutralino, which in turn decays via non-zero baryon- and lepton-number-violating RPV couplings $\lambda^{'}_{ijk}$, $\tilde g\to q\bar{q}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to q\bar{q}^{'}\ell$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1400 GeV, $m(\tilde{\chi}_1^0)$ = 500 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde{\chi}_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bH, in a SUSY scenario where gluinos are produced in pairs and decay directly into a pair of top-antitop quarks and the lightest neutralino, which in turn decays into light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{ijk}$, $\tilde g\to t\bar{t}\tilde{\chi}_1^0$ followed by $\tilde{\chi}_1^0\to qqq$. The masses of the superpartners involved in the process are set to $m(\tilde g)$ = 1800 GeV, $m(\tilde{\chi}_1^0)$ = 200 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bS, in a SUSY scenario where pairs of down-down squark-rights are produced and decay into a pair of top and bottom quarks via a non-zero baryon-number-violating RPV coupling $\lambda^{''}_{331}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar b$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L2bS, in a SUSY scenario where pairs of down-down squark-rights are produced and decay into a pair of top and bottom quarks via a non-zero baryon-number-violating RPV coupling $\lambda^{''}_{331}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar b$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bS, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bS, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 600 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bM, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 1000 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region Rpv2L1bM, in a SUSY scenario where pairs of down-down squarks are produced and decay into a pair of top and a light quarks via non-zero baryon-number-violating RPV couplings $\lambda^{''}_{321}$ or $\lambda^{''}_{322}$, $\tilde{d}^{}_\mathrm{R}\to \bar t\bar s/\bar t\bar d$. The masses of the superpartners involved in the process are set to $m(\tilde{d}^{}_\mathrm{R})$ = 1000 GeV, $m(\tilde g)$ = 2000 GeV. Only statistical uncertainties are shown.
Inclusive isolated-photon production in $pp$ collisions at a centre-of-mass energy of 13 TeV is studied with the ATLAS detector at the LHC using a data set with an integrated luminosity of 3.2 fb$^{-1}$. The cross section is measured as a function of the photon transverse energy above 125 GeV in different regions of photon pseudorapidity. Next-to-leading-order perturbative QCD and Monte Carlo event-generator predictions are compared to the cross-section measurements and provide an adequate description of the data.
Measured cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.
Measured cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.
Measured cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.
Measured cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.
Predicted cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.
Predicted cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.
Predicted cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.
Predicted cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.
The inclusive production rates of isolated, prompt photons in $p$+Pb collisions at $\sqrt{s_\mathrm{NN}} = 8.16$ TeV are studied with the ATLAS detector at the Large Hadron Collider using a dataset with an integrated luminosity of 165 nb$^{-1}$ recorded in 2016. The cross-section and nuclear modification factor $R_{p\mathrm{Pb}}$ are measured as a function of photon transverse energy from 20 GeV to 550 GeV and in three nucleon-nucleon centre-of-mass pseudorapidity regions, (-2.83,-2.02), (-1.84,0.91), and (1.09,1.90). The cross-section and $R_{p\mathrm{Pb}}$ values are compared with the results of a next-to-leading-order perturbative QCD calculation, with and without nuclear parton distribution function modifications, and with expectations based on a model of the energy loss of partons prior to the hard scattering. The data disfavour a large amount of energy loss and provide new constraints on the parton densities in nuclei.
The measured cross sections for prompt, isolated photons with rapidity in (1.09,1.90).
The measured cross sections for prompt, isolated photons with rapidity in (−1.84,0.91).
The measured cross sections for prompt, isolated photons with rapidity in (−2.83,−2.02).
The nuclear modification factor R_pPb for prompt, isolated photons with rapidity in (1.09,1.90).
The nuclear modification factor R_pPb for prompt, isolated photons with rapidity in (−1.84,0.91).
The nuclear modification factor R_pPb for prompt, isolated photons with rapidity in (−2.83,−2.02).
The ratio of R_{pPb} from rapidity (1.09,1.90) to that of rapidity (−2.83,−2.02).
This Letter presents the observation and measurement of electroweak production of a same-sign $W$ boson pair in association with two jets using 36.1 fb$^{-1}$ of proton-proton collision data recorded at a center-of-mass energy of $\sqrt{s}=13$ TeV by the ATLAS detector at the Large Hadron Collider. The analysis is performed in the detector fiducial phase-space region, defined by the presence of two same-sign leptons, electron or muon, and at least two jets with a large invariant mass and rapidity difference. A total of 122 candidate events are observed for a background expectation of $69 \pm 7$ events, corresponding to an observed signal significance of 6.5 standard deviations. The measured fiducial signal cross section is $\sigma^{\mathrm {fid.}}=2.89^{+0.51}_{-0.48} \mathrm{(stat.)} ^{+0.29}_{-0.28} \mathrm{(syst.)}$ fb.
Measured fiducial cross section.
The $m_{jj}$ distribution for events meeting all selection criteria for the signal region. Signal and individual background distributions are shown as predicted after the fit. The last bin includes the overflow. The highest value measured in a candidate event in data is $m_{jj}=3.8$ TeV.
The $m_{ll}$ distribution for events meeting all selection criteria for the signal region as predicted after the fit. The fitted signal strength and nuisance parameters have been propagated, with the exception of the uncertainties due to the interference and electroweak corrections for which a flat uncertainty is assigned. The last bin includes the overflow. The highest value measured in a candidate event in data is $m_{ll}=824$ GeV.
Impact of different components of systematic uncertainty on the measured fiducial cross section, without taking into account correlations. The impact of one source of systematic uncertainty is computed by first performing the fit with the corresponding nuisance parameter fixed to one standard deviation up or down from the value obtained in the nominal fit, then these up and down variations are symmetrized. The impacts of several sources of systematic uncertainty are added in quadrature for each component. The categorization of sources of systematic uncertainties into experimental and theory modeling correspond to those used for the measured fiducial cross section.
Efficiency correction factor $C_{WW}$, defined as the ratio of the number of reconstructed $W^{\pm}W^{\pm}jj$ electroweak events in the signal region over the number of events generated in the fiducial phase space, in bins of the dijet invariant mass, $m_{jj}$. The numbers are shown with their statistical and systematic uncertainties added in quadrature. The $C_{WW}$ factors have been calculated with Sherpa v2.2.2. The last bin includes the overflow.
Efficiency correction factor $C_{WW}$, defined as the ratio of the number of reconstructed $W^{\pm}W^{\pm}jj$ electroweak events in the signal region over the number of events generated in the fiducial phase space, in bins of the dilepton invariant mass, $m_{ll}$. The numbers are shown with their statistical and systematic uncertainties added in quadrature. The $C_{WW}$ factors have been calculated with Sherpa v2.2.2. The last bin includes the overflow.
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