Showing 10 of 27 results
A search for squarks and gluinos in final states containing high-$p_{\rm T}$ jets, missing transverse momentum and no electrons or muons is presented. The data were recorded in 2012 by the ATLAS experiment in $\sqrt{s}=8$ TeV proton-proton collisions at the Large Hadron Collider, with a total integrated luminosity of $20.3 \mathrm{fb}^{-1}$. No significant excess above the Standard Model expectation is observed. Results are interpreted in a variety of simplified and specific supersymmetry-breaking models assuming that R-parity is conserved and that the lightest neutralino is the lightest supersymmetric particle. An exclusion limit at the 95% confidence level on the mass of the gluino is set at 1330 GeV for a simplified model incorporating only a gluino and the lightest neutralino. For a simplified model involving the strong production of first- and second-generation squarks, squark masses below 850 GeV (440 GeV) are excluded for a massless lightest neutralino, assuming mass degenerate (single light-flavour) squarks. In mSUGRA/CMSSM models with $\tan\beta=30$, $A_0=-2m_0$ and $\mu> 0$, squarks and gluinos of equal mass are excluded for masses below 1700 GeV. Additional limits are set for non-universal Higgs mass models with gaugino mediation and for simplified models involving the pair production of gluinos, each decaying to a top squark and a top quark, with the top squark decaying to a charm quark and a neutralino. These limits extend the region of supersymmetric parameter space excluded by previous searches with the ATLAS detector.
The effective mass distribution in 2-jet loose signal region.
The effective mass distribution in 2-jet medium and tight signal regions.
The effective mass distribution in 2-jet (W) signal region.
The effective mass distribution in 3-jet signal region.
The effective mass distribution in 4-jet (W) signal region.
The effective mass distribution in 4-jet very-loose and loose signal regions.
The effective mass distribution in 4-jet medium signal region.
The effective mass distribution in 4-jet tight signal region.
The effective mass distribution in 5-jet signal region.
The effective mass distribution in 6-jet loose and medium signal regions.
The effective mass distribution in 6-jet tight signal region.
The effective mass distribution in 6-jet very-tight signal region.
Observed limit 95% CL.
Expected limit 95% CL.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Expected limit 95% CL -1 sigma.
Observed limit 95% CL.
Expected limit 95% CL.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Expected limit 95% CL -1 sigma.
Observed limit 95% CL (m_chi^0_1=0GeV).
Expected limit 95% CL (m_chi^0_1=0GeV).
Observed limit 95% CL +1 sigma (m_chi^0_1=0GeV).
Observed limit 95% CL -1 sigma (m_chi^0_1=0GeV).
Expected limit 95% CL +1 sigma (m_chi^0_1=0GeV).
Expected limit 95% CL -1 sigma (m_chi^0_1=0GeV).
Observed limit 95% CL (m_chi^0_1=395GeV).
Expected limit 95% CL (m_chi^0_1=395GeV).
Observed limit 95% CL (m_chi^0_1=695GeV).
Expected limit 95% CL (m_chi^0_1=695GeV).
Expected limit 95% CL.
Expected limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL.
Expected limit 95% CL.
Expected limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL.
Expected limit 95% CL.
Expected limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL.
Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
First of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Second of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.
Expected limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL.
Expected limit 95% CL.
Expected limit 95% CL.
Expected limit 95% CL -1 sigma.
Expected limit 95% CL +1 sigma.
Observed limit 95% CL -1 sigma.
Observed limit 95% CL +1 sigma.
Observed limit 95% CL.
Signal region for points.
Signal region for points.
Signal region for points (m_chi^0_1=0GeV).
Signal region for points (m_chi^0_1=395GeV).
Signal region for points (m_chi^0_1=695GeV).
Observed 95% CL cross-section upper limit for pair-produced gluinos decaying directly.
Observed 95% CL cross-section upper limit for associated gluino-squark production.
Observed 95% CL cross-section upper limit for pair-produced squarks decaying directly.
Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.
Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.
Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.
Signal region for points.
Observed 95% CL cross-section upper limit for pair-produced gluinos decaying via stops into top+charm+neutralino1.
Production cross-section in PB.
Signal acceptance in PCT for SR2jl.
Signal acceptance times reconstruction efficiency in PCT for SR2jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.
Signal acceptance in PCT for SR2jm.
Signal acceptance times reconstruction efficiency in PCT for SR2jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.
Signal acceptance in PCT for SR2jt.
Signal acceptance times reconstruction efficiency in PCT for SR2jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.
Signal acceptance in PCT for SR2jW.
Signal acceptance times reconstruction efficiency in PCT for SR2jW.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.
Signal acceptance in PCT for SR3j.
Signal acceptance times reconstruction efficiency in PCT for SR3j.
Uncertainty on signal acceptance times reconstruction efficiency for SR3j.
Signal acceptance in PCT for SR4jW.
Signal acceptance times reconstruction efficiency in PCT for SR4jW.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.
Signal acceptance in PCT for SR4jl-.
Signal acceptance times reconstruction efficiency in PCT for SR4jl-.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.
Signal acceptance in PCT for SR4jl.
Signal acceptance times reconstruction efficiency in PCT for SR4jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.
Signal acceptance in PCT for SR4jm.
Signal acceptance times reconstruction efficiency in PCT for SR4jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.
Signal acceptance in PCT for SR4jt.
Signal acceptance times reconstruction efficiency in PCT for SR4jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.
Signal acceptance in PCT for SR5j.
Signal acceptance times reconstruction efficiency in PCT for SR5j.
Uncertainty on signal acceptance times reconstruction efficiency for SR5j.
Signal acceptance in PCT for SR6jl.
Signal acceptance times reconstruction efficiency in PCT for SR6jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.
Signal acceptance in PCT for SR6jm.
Signal acceptance times reconstruction efficiency in PCT for SR6jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.
Signal acceptance in PCT for SR6jt.
Signal acceptance times reconstruction efficiency in PCT for SR6jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.
Signal acceptance in PCT for SR6jt+.
Signal acceptance times reconstruction efficiency in PCT for SR6jt+.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.
Production cross-section in PB.
Signal acceptance in PCT for SR2jl.
Signal acceptance times reconstruction efficiency in PCT for SR2jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.
Signal acceptance in PCT for SR2jm.
Signal acceptance times reconstruction efficiency in PCT for SR2jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.
Signal acceptance in PCT for SR2jt.
Signal acceptance times reconstruction efficiency in PCT for SR2jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.
Signal acceptance in PCT for SR2jW.
Signal acceptance times reconstruction efficiency in PCT for SR2jW.
Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.
Signal acceptance in PCT for SR3j.
Signal acceptance times reconstruction efficiency in PCT for SR3j.
Uncertainty on signal acceptance times reconstruction efficiency for SR3j.
Signal acceptance in PCT for SR4jW.
Signal acceptance times reconstruction efficiency in PCT for SR4jW.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.
Signal acceptance in PCT for SR4jl-.
Signal acceptance times reconstruction efficiency in PCT for SR4jl-.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.
Signal acceptance in PCT for SR4jl.
Signal acceptance times reconstruction efficiency in PCT for SR4jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.
Signal acceptance in PCT for SR4jm.
Signal acceptance times reconstruction efficiency in PCT for SR4jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.
Signal acceptance in PCT for SR4jt.
Signal acceptance times reconstruction efficiency in PCT for SR4jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.
Signal acceptance in PCT for SR5j.
Signal acceptance times reconstruction efficiency in PCT for SR5j.
Uncertainty on signal acceptance times reconstruction efficiency for SR5j.
Signal acceptance in PCT for SR6jl.
Signal acceptance times reconstruction efficiency in PCT for SR6jl.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.
Signal acceptance in PCT for SR6jm.
Signal acceptance times reconstruction efficiency in PCT for SR6jm.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.
Signal acceptance in PCT for SR6jt.
Signal acceptance times reconstruction efficiency in PCT for SR6jt.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.
Signal acceptance in PCT for SR6jt+.
Signal acceptance times reconstruction efficiency in PCT for SR6jt+.
Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.
Results are reported of a search for new phenomena, such as supersymmetric particle production, that could be observed in high-energy proton--proton collisions. Events with large numbers of jets, together with missing transverse momentum from unobserved particles, are selected. The data analysed were recorded by the ATLAS experiment during 2015 using the 13 TeV centre-of-mass proton--proton collisions at the Large Hadron Collider, and correspond to an integrated luminosity of 3.2 fb$^{-1}$. The search selected events with various jet multiplicities from $\ge 7$ to $\ge 10$ jets, and with various $b$-jet multiplicity requirements to enhance sensitivity. No excess above Standard Model expectations is observed. The results are interpreted within two supersymmetry models, where gluino masses up to 1400 GeV are excluded at 95% confidence level, significantly extending previous limits.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in validation region 7ej50 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in validation region 6ej80 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 10j50 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 10j50 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j80 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j80 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
Observed 95% CL limit for the pMSSM grid.
Observed 95% CL limit for the pMSSM grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the pMSSM grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the pMSSM grid.
+1 sigma excursion of the expected 95% CL limit for the pMSSM grid.
-1 sigma excursion of the expected 95% CL limit for the pMSSM grid.
Observed 95% CL limit for the 2Step grid.
Observed 95% CL limit for the 2Step grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the 2Step grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the 2Step grid.
+1 sigma excursion of the expected 95% CL limit for the 2Step grid.
-1 sigma excursion of the expected 95% CL limit for the 2Step grid.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j50 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j50 1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j50 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 9j50 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 9j50 1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 9j50 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 10j50 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 10j50 1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 10j50 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 7j80 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 7j80 1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 7j80 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j80 0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j80 1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region 8j80 2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
Degree of multijet closure for signal and vaidation regions with at no b-jet requirement. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The bins labelled in bold are signal regions, while the others are validation regions. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions with at least 1 b-jet. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The bins labelled in bold are signal regions, while the others are validation regions. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions with at least 2 b-jets. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The bins labelled in bold are signal regions, while the others are validation regions. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Summary of all 15 signal regions (post-fit).
Signal region yielding the best-expected CLs value, the best expected CLs value, and the corresponding observed CLs value for the 2Step grid.
Signal region yielding the best-expected CLs value, the best expected CLs value, and the corresponding observed CLs value for the pMSSM grid.
95% CLs observed upper limit on model cross-section for 2-step signal points for the best-expected signal region.
Performance of the 8j50-0b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j50-1b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j50-2b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-0b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-1b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-2b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-0b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-1b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-2b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-0b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-1b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-2b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-0b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-1b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-2b selection for the pMSSM grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j50-0b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j50-1b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j50-2b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-0b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-1b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 9j50-2b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-0b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-1b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 10j50-2b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-0b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-1b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 7j80-2b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-0b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-1b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
Performance of the 8j80-2b selection for the 2Step grid: number of generated signal events; total signal cross-section; acceptance; efficiency (fractional); observed CL using this region alone; expected CL using this region alone.
A search is presented for photonic signatures motivated by generalised models of gauge-mediated supersymmetry breaking. This search makes use of $20.3{\rm fb}^{-1}$ of proton-proton collision data at $\sqrt{s}=8$ TeV recorded by the ATLAS detector at the LHC, and explores models dominated by both strong and electroweak production of supersymmetric partner states. Four experimental signatures incorporating an isolated photon and significant missing transverse momentum are explored. These signatures include events with an additional photon, lepton, $b$-quark jet, or jet activity not associated with any specific underlying quark flavor. No significant excess of events is observed above the Standard Model prediction and model-dependent 95% confidence-level exclusion limits are set.
Observed and expected exclusion limits in the gluino-bino mass plane, using the $\rm{SR}^{\gamma\gamma}_{S-H}$ analysis for $m_{\tilde{\chi}_1^0}\geq 800 {\rm GeV}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ analyses for $m_{\tilde{\chi}_1^0} < 800 {\rm GeV}$.
Observed and expected exclusion limits in the wino-bino mass plane, using the $\rm{SR}^{\gamma\gamma}_{W-H}$ analysis for $m_{\tilde{\chi}_1^0}\geq 350 {\rm GeV}$ and $\rm{SR}^{\gamma\gamma}_{W-L}$ analyses for $m_{\tilde{\chi}_1^0} < 350 {\rm GeV}$.
Observed exclusion limits in the gluino-neutralino mass plane, for the higgsino-bino GGM model with $\mu < 0$, using the merged $\rm{SR}^{\gamma b}_{L}$ and $\rm{SR}^{\gamma b}_{H}$ analyses.
Expected exclusion limits in the gluino-neutralino mass plane, for the higgsino-bino GGM model with $\mu < 0$, using the merged $\rm{SR}^{\gamma b}_{L}$ and $\rm{SR}^{\gamma b}_{H}$ analyses.
Observed exclusion limits in the $M_3$-$\mu$ plane, for the higgsino-bino GGM model with $\mu > 0$, using the merged $\rm{SR}^{\gamma j}_{L}$ and $\rm{SR}^{\gamma j}_{H}$ analyses.
Expected exclusion limits in the $M_3$-$\mu$ plane, for the higgsino-bino GGM model with $\mu > 0$, using the merged $\rm{SR}^{\gamma j}_{L}$ and $\rm{SR}^{\gamma j}_{H}$ analyses.
Contour of exclusion in wino production cross section from the photon+$\ell$ analysis, as a function of the wino mass parameter $m_{\tilde{W}}$. The expected limit is shown along with its $\pm 1$ and $\pm 2$ standard deviation values.
Numbers of selected data events at progressive stages of the selection, for each SR for the diphoton, photon+j and photon+$\ell$ analyses. Where no number is shown the cut was not applied.
Expected number of signal events at progressive stages of the selection, shown for points in the parameter space that typify the region for which each selection of the diphoton, photon+j and photon+$\ell$ analyses is optimized, and scaled to an integrated luminosity of $20.3\,\mathrm{fb}^{-1}$. Where no number is shown the cut was not applied.
Expected number of signal events at progressive stages of the $\rm{SR}^{\gamma b}_{H}$ selection, shown for data and signal Monte Carlo datasets.
Expected number of signal events at progressive stages of the $\rm{SR}^{\gamma b}_{L}$ selection, shown for data and signal Monte Carlo datasets.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}}$ between 1550 and 1600 GeV.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}} = 1500$ GeV.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}}$ between 1350 and 1450 GeV.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}}$ between 1250 and 1300 GeV.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}}$ between 1150 and 1200 GeV.
$\rm{SR}^{\gamma\gamma}_{S-H}$ and $\rm{SR}^{\gamma\gamma}_{S-L}$ signal acceptance*efficiency across the strong-production parameter space, for $m_{\tilde{g}}$ between 1000 and 1100 GeV.
$\rm{SR}^{\gamma\gamma}_{W-H}$ and $\rm{SR}^{\gamma\gamma}_{W-L}$ signal acceptance*efficiency for $m_{\tilde{W}}$ between 650 and 800 GeV.
$\rm{SR}^{\gamma\gamma}_{W-H}$ and $\rm{SR}^{\gamma\gamma}_{W-L}$ signal acceptance*efficiency for $m_{\tilde{W}}$ between 400 and 600 GeV.
$\rm{SR}^{\gamma\gamma}_{W-H}$ and $\rm{SR}^{\gamma\gamma}_{W-L}$ signal acceptance*efficiency for $m_{\tilde{W}}$ between 100 and 400 GeV.
$\rm{SR}^{\gamma b}_{H}$ signal acceptance*efficiency for combined strong and weak production across the $\mu<0$ higgsino-bino parameter space.
$\rm{SR}^{\gamma b}_{L}$ signal acceptance*efficiency for combined strong and weak production across the $\mu<0$ higgsino-bino parameter space.
$\rm{SR}^{\gamma j}_{H}$ signal acceptance*efficiency for combined strong and weak production across the $\mu>0$ higgsino-bino parameter space.
$\rm{SR}^{\gamma j}_{L}$ signal acceptance*efficiency for combined strong and weak production across the $\mu>0$ higgsino-bino parameter space.
Acceptance-times-efficiency (a*e) for the photon+$\ell$ analysis SRs.
The total NLO+NLL strong production cross sections with uncertainties for GGM gluino-neutralino signal points for the diphoton and photon+b analyses. In the variant of the grid used in the diphoton analysis, the electroweak production cross section is negligible.
The total NLO cross sections with uncertainties for GGM wino-bino signal points, for all final states, for the diphoton analysis. The direct bino production cross section is negligible.
The NLO gaugino pair production cross sections with relative uncertainties for GGM gluino-neutralino signal points for the photon+b analysis.
The best signal region used for each signal point in the photon+b analysis.
The total NLO+NLL cross sections with uncertainties for the strong production GGM signal grid for the photon+j analysis.
The total NLO cross sections with uncertainties for the electroweak production GGM signal grid for the photon+j analysis.
The best signal region used for each signal point in the photon+j analysis.
A summary is presented of ATLAS searches for gluinos and first- and second-generation squarks in final states containing jets and missing transverse momentum, with or without leptons or b-jets, in the $\sqrt{s}$ = 8 TeV data set collected at the Large Hadron Collider in 2012. This paper reports the results of new interpretations and statistical combinations of previously published analyses, as well as a new analysis. Since no significant excess of events over the Standard Model expectation is observed, the data are used to set limits in a variety of models. In all the considered simplified models that assume R-parity conservation, the limit on the gluino mass exceeds 1150 GeV at 95% confidence level, for an LSP mass smaller than 100 GeV. Furthermore, exclusion limits are set for left-handed squarks in a phenomenological MSSM model, a minimal Supergravity/Constrained MSSM model, R-parity-violation scenarios, a minimal gauge-mediated supersymmetry breaking model, a natural gauge mediation model, a non-universal Higgs mass model with gaugino mediation and a minimal model of universal extra dimensions.
Acceptance for the loose channel of the Razor analysis for the direct squark-squark model.
Acceptance times efficiency for the loose channel of the Razor analysis for the direct squark-squark model.
Acceptance for the tight channel of the Razor analysis for the direct squark-squark model.
Acceptance times efficiency for the tight channel of the Razor analysis for the direct squark-squark model.
Acceptance for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.
Efficiency for the 1tau channel of the Taus+jets+MET analysis for the gluino simplified model.
Acceptance for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.
Efficiency for the 2tau channel of the Taus+jets+MET analysis for the gluino simplified model.
Acceptance for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.
Efficiency for the 1tau channel of the Taus+jets+MET analysis for the squark simplified model.
Acceptance for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.
Efficiency for the 2tau channel of the Taus+jets+MET analysis for the squark simplified model.
Observed limit on the cross-section times branching ratio in fb at 95% CL for the direct squark-squark model.
Observed limit on the cross-section times branching ratio in fb at 95% CL for the gluino simplified model, obtained by the Taus+jets+MET analysis.
Observed limit on the cross-section times branching ratio in fb at 95% CL for the squark simplified model, obtained by the Taus+jets+MET analysis.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$1.6 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV with $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$2.2 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M1=60 GeV and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed 95% CL cross section times branching ratio upper limit on pMSSM qLqL production with M2=(M1+mqL)/2 and $m_{\tilde g}=$3.0 TeV interpreted by the 0L analysis including its two dedicated signal regions.
Observed and expected limits on the cross-section times branching ratio in fb at 95% CL for the gluino-mediated stop model with off-shell stops, for mass points with four- or five-body gluino decays, obtained by the SS/3L and 0/1L3B analyses.
: Cut flow for signal regions 0L_4jt+ and 0L_5jt of baseline signal points normalized to 20.3 fb$^\mathrm{-1}$. The point used for the 0L_4jt+ cutflow is mqL = 1150 GeV, M1 = 60 GeV, M2 = 1000 GeV, m(gluino) = 2200 GeV. The point used for the 0L_5jt cutflow is mqL = 950 GeV, M1 = 100 GeV, M2 = 525 GeV, m(gluino) = 2200 GeV.
Cut flow for the 1L(H)_7-jet SR (electron channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for the 1L(H)_7-jet SR (muon channel) for the main background from the $t\bar{t}$ production. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{{\tilde \chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1145 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 785 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 425 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for 1L(H)_7-jet SR (electron channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for 1L(H)_7-jet SR (muon channel). The signal point is taken from the gluino simplified model with 1-step decay via charginos and parameters $m_{\tilde{g}}$ = 1025 GeV, $m_{\tilde{\chi}_{1}^{\pm}}$ = 545 GeV, $m_{\tilde{\chi}_{1}^{0}}$ = 65 GeV; 20000 events were generated for this point. The events are normalized to 20.3 fb$^\mathrm{-1}$.
Cut flow for 0LRaz_SR$_{\rm loose}$ and 0LRaz_SR$_{\rm tight}$ signal regions of baseline signal point ($m(\tilde{q}, \tilde{\chi}_1^0)=(850, 100)$ GeV) normalized to 20.3 fb$^{-1}$. 5000 events were generated for ths point.
A search for squarks and gluinos in final states containing hadronic jets, missing transverse momentum but no electrons or muons is presented. The data were recorded in 2015 by the ATLAS experiment in $\sqrt{s}=$ 13 TeV proton--proton collisions at the Large Hadron Collider. No excess above the Standard Model background expectation was observed in 3.2 fb$^{-1}$ of analyzed data. Results are interpreted within simplified models that assume R-parity is conserved 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 1.51 TeV for a simplified model incorporating only a gluino octet 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 1.03 TeV are excluded for a massless lightest neutralino. These limits substantially extend the region of supersymmetric parameter space excluded by previous measurements with the ATLAS detector.
Observed and expected background effective mass distributions in control region CRgamma for SR4jt.
Observed and expected background effective mass distributions in control region CRW for SR4jt.
Observed and expected background effective mass distributions in control region CRT for SR4jt.
Observed and expected background and signal effective mass distributions for SR2jl. For signal, a squark direct decay model with $m(\tilde q)=800$ GeV and $m(\tilde\chi^0_1)=400$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jm. For signal, a gluino direct decay model with $m(\tilde g)=750$ GeV and $m(\tilde\chi^0_1)=660$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR2jt. For signal, a squark direct decay model with $m(\tilde q)=1200$ GeV and $m(\tilde\chi^0_1)=0$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR4jt. For signal, a gluino direct decay model with $m(\tilde g)=1400$ GeV and $m(\tilde\chi^0_1)=0$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR5j. For signal, a gluino one-step decay model with $m(\tilde g)=1265$ GeV, $m(\tilde\chi^\pm_1)=945$ GeV and $m(\tilde\chi^0_1)=625$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR6jm. For signal, a gluino one-step decay model with $m(\tilde g)=1265$ GeV, $m(\tilde\chi^\pm_1)=945$ GeV and $m(\tilde\chi^0_1)=625$ GeV is shown.
Observed and expected background and signal effective mass distributions for SR6jt. For signal, a gluino one-step decay model with $m(\tilde g)=1385$ GeV, $m(\tilde\chi^\pm_1)=705$ GeV and $m(\tilde\chi^0_1)=25$ GeV is shown.
Expected limit at 95% CL for squark direct decay model grid.
Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for squark direct decay model grid.
Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for squark direct decay model grid.
Observed limits at 95% CL for squark direct decay model grid.
Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for squark direct decay model grid.
Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for squark direct decay model grid.
Expected limit at 95% CL for gluino direct decay model grid.
Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino direct decay model grid.
Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino direct decay model grid.
Observed limits at 95% CL for gluino direct decay model grid.
Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for gluino direct decay model grid.
Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for gluino direct decay model grid.
Expected limit at 95% CL for gluino one-step decay model grid.
Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino one-step decay model grid.
Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino one-step decay model grid.
Observed limits at 95% CL for gluino one-step decay model grid.
Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for gluino one-step decay model grid.
Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for gluino one-step decay model grid.
Observed and expected background effective mass distributions in control region CRgamma for SR2jl.
Observed and expected background effective mass distributions in validation region VRZ for SR2jl.
Observed and expected background effective mass distributions in control region CRW for SR2jl.
Observed and expected background effective mass distributions in control region CRT for SR2jl.
Observed and expected background effective mass distributions in control region CRgamma for SR2jm.
Observed and expected background effective mass distributions in validation region VRZ for SR2jm.
Observed and expected background effective mass distributions in control region CRW for SR2jm.
Observed and expected background effective mass distributions in control region CRT for SR2jm.
Observed and expected background effective mass distributions in control region CRgamma for SR2jt.
Observed and expected background effective mass distributions in validation region VRZ for SR2jt.
Observed and expected background effective mass distributions in control region CRW for SR2jt.
Observed and expected background effective mass distributions in control region CRT for SR2jt.
Observed and expected background effective mass distributions in control region CRgamma for SR4jt.
Observed and expected background effective mass distributions in validation region VRZ for SR4jt.
Observed and expected background effective mass distributions in control region CRW for SR4jt.
Observed and expected background effective mass distributions in control region CRT for SR4jt.
Observed and expected background effective mass distributions in control region CRgamma for SR5j.
Observed and expected background effective mass distributions in validation region VRZ for SR5j.
Observed and expected background effective mass distributions in control region CRW for SR5j.
Observed and expected background effective mass distributions in control region CRT for SR5j.
Observed and expected background effective mass distributions in control region CRgamma for SR6jm.
Observed and expected background effective mass distributions in validation region VRZ for SR6jm.
Observed and expected background effective mass distributions in control region CRW for SR6jm.
Observed and expected background effective mass distributions in control region CRT for SR6jm.
Observed and expected background effective mass distributions in control region CRgamma for SR6jt.
Observed and expected background effective mass distributions in validation region VRZ for SR6jt.
Observed and expected background effective mass distributions in control region CRW for SR6jt.
Observed and expected background effective mass distributions in control region CRT for SR6jt.
Observed and expected event yields in VRZ as a function of signal region.
Observed and expected event yields in VRW as a function of signal region.
Observed and expected event yields in VRWv as a function of signal region.
Observed and expected event yields in VRT as a function of signal region.
Observed and expected event yields in VRTv as a function of signal region.
Observed and expected event yields in VRQa as a function of signal region.
Observed and expected event yields in VRQb as a function of signal region.
Signal acceptance for SR2jl in squark direct decay model grid.
Signal acceptance times efficiency for SR2jl in squark direct decay model grid.
Signal acceptance for SR2jm in squark direct decay model grid.
Signal acceptance times efficiency for SR2jm in squark direct decay model grid.
Signal acceptance for SR2jt in squark direct decay model grid.
Signal acceptance times efficiency for SR2jt in squark direct decay model grid.
Signal acceptance for SR4jt in squark direct decay model grid.
Signal acceptance times efficiency for SR4jt in squark direct decay model grid.
Signal acceptance for SR5j in squark direct decay model grid.
Signal acceptance times efficiency for SR5j in squark direct decay model grid.
Signal acceptance for SR6jm in squark direct decay model grid.
Signal acceptance times efficiency for SR6jm in squark direct decay model grid.
Signal acceptance for SR6jt in squark direct decay model grid.
Signal acceptance times efficiency for SR6jt in squark direct decay model grid.
Signal acceptance for SR2jl in gluino direct decay model grid.
Signal acceptance times efficiency for SR2jl in gluino direct decay model grid.
Signal acceptance for SR2jm in gluino direct decay model grid.
Signal acceptance times efficiency for SR2jm in gluino direct decay model grid.
Signal acceptance for SR2jt in gluino direct decay model grid.
Signal acceptance times efficiency for SR2jt in gluino direct decay model grid.
Signal acceptance for SR4jt in gluino direct decay model grid.
Signal acceptance times efficiency for SR4jt in gluino direct decay model grid.
Signal acceptance for SR5j in gluino direct decay model grid.
Signal acceptance times efficiency for SR5j in gluino direct decay model grid.
Signal acceptance for SR6jm in gluino direct decay model grid.
Signal acceptance times efficiency for SR6jm in gluino direct decay model grid.
Signal acceptance for SR6jt in gluino direct decay model grid.
Signal acceptance times efficiency for SR6jt in gluino direct decay model grid.
Signal acceptance for SR2jl in gluino one-step decay model grid.
Signal acceptance times efficiency for SR2jl in gluino one-step decay model grid.
Signal acceptance for SR2jm in gluino one-step decay model grid.
Signal acceptance times efficiency for SR2jm in gluino one-step decay model grid.
Signal acceptance for SR2j5 in gluino one-step decay model grid.
Signal acceptance times efficiency for SR2jt in gluino one-step decay model grid.
Signal acceptance for SR4jt in gluino one-step decay model grid.
Signal acceptance times efficiency for SR4jt in gluino one-step decay model grid.
Signal acceptance for SR5j in gluino one-step decay model grid.
Signal acceptance times efficiency for SR5j in gluino one-step decay model grid.
Signal acceptance for SR6jm in gluino one-step decay model grid.
Signal acceptance times efficiency for SR6jm in gluino one-step decay model grid.
Signal acceptance for SR6jt in gluino one-step decay model grid.
Signal acceptance times efficiency for SR6jt in gluino one-step decay model grid.
A search for new phenomena in final states containing an $e^+e^-$ or $\mu^+\mu^-$ pair, jets, and large missing transverse momentum is presented. This analysis makes use of proton--proton collision data with an integrated luminosity of $36.1 \; \mathrm{fb}^{-1}$, collected during 2015 and 2016 at a centre-of-mass energy $\sqrt{s}$ = 13 TeV with the ATLAS detector at the Large Hadron Collider. The search targets the pair production of supersymmetric coloured particles (squarks or gluinos) and their decays into final states containing an $e^+e^-$ or $\mu^+\mu^-$ pair and the lightest neutralino ($\tilde{\chi}_1^0$) via one of two next-to-lightest neutralino ($\tilde{\chi}_2^0$) decay mechanisms: $\tilde{\chi}_2^0 \rightarrow Z \tilde{\chi}_1^0$, where the $Z$ boson decays leptonically leading to a peak in the dilepton invariant mass distribution around the $Z$ boson mass; and $\tilde{\chi}_2^0 \rightarrow \ell^+\ell^- \tilde{\chi}_1^0$ with no intermediate $\ell^+\ell^-$ resonance, yielding a kinematic endpoint in the dilepton invariant mass spectrum. The data are found to be consistent with the Standard Model expectation. Results are interpreted using simplified models, and exclude gluinos and squarks with masses as large as 1.85 TeV and 1.3 TeV at 95% confidence level, respectively.
The results of a search for squarks and gluinos in final states with an isolated electron or muon, multiple jets and large missing transverse momentum using proton--proton collision data at a center-of-mass energy of $\sqrt{s}$ = 13 TeV are presented. The dataset used was recorded during 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider and corresponds to an integrated luminosity of 36.1 $fb^{-1}$. No significant excess beyond the expected background is found. Exclusion limits at 95% confidence level are set in a number of supersymmetric scenarios, reaching masses up to 2.1 TeV for gluino pair production and up to 1.25 TeV for squark pair production.
Observed 95% CL exclusion contours for the gluino one-step x = 1/2 model.
Observed 95% CL exclusion contours for the gluino one-step x = 1/2 model.
Expected 95% CL exclusion contours for the gluino one-step x = 1/2 model.
Expected 95% CL exclusion contours for the gluino one-step x = 1/2 model.
Observed 95% CL exclusion contours for the gluino one-step variable-x model.
Observed 95% CL exclusion contours for the gluino one-step variable-x model.
Expected 95% CL exclusion contours for the gluino one-step variable-x model.
Expected 95% CL exclusion contours for the gluino one-step variable-x model.
Observed 95% CL exclusion contours for the squark one-step x = 1/2 model.
Expected 95% CL exclusion contours for the squark one-step x = 1/2 model.
Observed 95% CL exclusion contours for the squark one-step variable-x model.
Expected 95% CL exclusion contours for the squark one-step variable-x model.
Observed 95% CL exclusion contours for the gluino two-step model.
Expected 95% CL exclusion contours for the gluino two-step model.
Observed 95% CL exclusion contours for pMSSM model.
Expected 95% CL exclusion contours for pMSSM model.
$m_{\mathrm{eff}}$ distribution in 2J b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 4J low-x b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 4J high-x b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 6J b-veto signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 2J b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 4J low-x b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 4J high-x b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 6J b-tag signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{eff}}$ distribution in 9J signal regions after fit. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 2J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 2J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 2J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 2J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 4J low-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 4J low-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J low-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 4J low-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J low-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 4J high-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J high-x b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 4J high-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 4J high-x b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 6J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 6J b-veto signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 6J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 6J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$E_{\mathrm T}^{\mathrm{miss}}$ distribution for events satisfying all the 6J b-tag signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 9J signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
$m_{\mathrm{T}}$ distribution for events satisfying all the 9J signal region selections but for the one on the variable shown in the figure. The uncertainty bands plotted include all statistical and systematic uncertainties. The dashed lines stand for the benchmark signal samples.
Observed upper limits on the signal cross-section for gluino one-step x = 1/2 model.
Observed upper limits on the signal cross-section for gluino one-step x = 1/2 model.
Observed upper limits on the signal cross-section for gluino one-step variable-x model.
Observed upper limits on the signal cross-section for gluino one-step variable-x model.
Observed upper limits on the signal cross-section for squark one-step x = 1/2 model.
Observed upper limits on the signal cross-section for squark one-step x = 1/2 model.
Observed upper limits on the signal cross-section for squark one-step variable-x model.
Observed upper limits on the signal cross-section for squark one-step variable-x model.
Observed upper limits on the signal cross-section for gluino two-step model.
Observed upper limits on the signal cross-section for gluino two-step model.
Observed upper limits on the signal cross-section for pMSSM model.
Observed upper limits on the signal cross-section for pMSSM model.
Acceptance in 2J discovery signal region for gluino one-step x = 1/2 model.
Acceptance in 2J discovery signal region for gluino one-step x = 1/2 model.
Acceptance in 2J discovery signal region for squark one-step x = 1/2 model.
Acceptance in 2J discovery signal region for squark one-step x = 1/2 model.
Acceptance in 4J low-x discovery signal region for gluino one-step variable-x model.
Acceptance in 4J low-x discovery signal region for gluino one-step variable-x model.
Acceptance in 4J low-x discovery signal region for squark one-step variable-x model.
Acceptance in 4J low-x discovery signal region for squark one-step variable-x model.
Acceptance in 4J high-x discovery signal region for gluino one-step variable-x model.
Acceptance in 4J high-x discovery signal region for gluino one-step variable-x model.
Acceptance in 4J high-x discovery signal region for squark one-step variable-x model.
Acceptance in 4J high-x discovery signal region for squark one-step variable-x model.
Acceptance in 6J discovery signal region for gluino one-step x = 1/2 model.
Acceptance in 6J discovery signal region for gluino one-step x = 1/2 model.
Acceptance in 6J discovery signal region for squark one-step x = 1/2 model.
Acceptance in 6J discovery signal region for squark one-step x = 1/2 model.
Acceptance in 9J discovery signal region for pMSSM model.
Acceptance in 9J discovery signal region for pMSSM model.
Acceptance in 9J discovery signal region for gluino two-step model.
Acceptance in 9J discovery signal region for gluino two-step model.
Efficiency in 2J discovery signal region for gluino one-step x = 1/2 model.
Efficiency in 2J discovery signal region for gluino one-step x = 1/2 model.
Efficiency in 2J discovery signal region for squark one-step x = 1/2 model.
Efficiency in 2J discovery signal region for squark one-step x = 1/2 model.
Efficiency in 4J low-x discovery signal region for gluino one-step variable-x model.
Efficiency in 4J low-x discovery signal region for gluino one-step variable-x model.
Efficiency in 4J low-x discovery signal region for squark one-step variable-x model.
Efficiency in 4J low-x discovery signal region for squark one-step variable-x model.
Efficiency in 4J high-x discovery signal region for gluino one-step variable-x model.
Efficiency in 4J high-x discovery signal region for gluino one-step variable-x model.
Efficiency in 4J high-x discovery signal region for squark one-step variable-x model.
Efficiency in 4J high-x discovery signal region for squark one-step variable-x model.
Efficiency in 6J discovery signal region for gluino one-step x = 1/2 model.
Efficiency in 6J discovery signal region for gluino one-step x = 1/2 model.
Efficiency in 6J discovery signal region for squark one-step x = 1/2 model.
Efficiency in 6J discovery signal region for squark one-step x = 1/2 model.
Efficiency in 9J discovery signal region for pMSSM model.
Efficiency in 9J discovery signal region for pMSSM model.
Efficiency in 9J discovery signal region for gluino two-step model.
Efficiency in 9J discovery signal region for gluino two-step model.
Cutflow table for the 2J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J high-x discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J high-x discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J low-x discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J low-x discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J low-x discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 4J low-x discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 6J discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 6J discovery signal region (targetting gluino decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 6J discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 6J discovery signal region (targetting squark decays) with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 9J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
Cutflow table for the 9J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-1}$ and rounded to the statistical error. The selection called "Filter" is introduced for initial data reduction. It selects events with at least one soft electron or muon ($3.5 < p_\mathrm{T} < 25$ GeV for muons and $4.5 < p_\mathrm{T} < 25$ GeV for electrons) in which an $E_\mathrm{T}^\mathrm{miss}$ trigger has fired or events with at least one hard electron or muon ($p_\mathrm{T} >$25 GeV).
A search is presented for particles that decay producing a large jet multiplicity and invisible particles. The event selection applies a veto on the presence of isolated electrons or muons and additional requirements on the number of b-tagged jets and the scalar sum of masses of large-radius jets. Having explored the full ATLAS 2015-2016 dataset of LHC proton-proton collisions at $\sqrt{s}=13~\mathrm{TeV}$, which corresponds to 36.1 fb$^{-1}$ of integrated luminosity, no evidence is found for physics beyond the Standard Model. The results are interpreted in the context of simplified models inspired by R-parity-conserving and R-parity-violating supersymmetry, where gluinos are pair-produced. More generic models within the phenomenological minimal supersymmetric Standard Model are also considered.
Post-fit yields for each signal region in the multijets analysis. Summary of all 27 signal regions (post-fit).
Observed 95% CL limit for the pMSSM grid.
Observed 95% CL limit for the pMSSM grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the pMSSM grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the pMSSM grid.
Expected 95% CL limit for the pMSSM grid with an up variation of the uncertainties.
Expected 95% CL limit for the pMSSM grid with a down variation of the uncertainties.
Observed 95% CL limit for the 2Step grid.
Observed 95% CL limit for the 2Step grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the 2Step grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the 2Step grid.
Expected 95% CL limit for the 2Step grid with an up variation of the uncertainties.
Expected 95% CL limit for the 2Step grid with a down variation of the uncertainties.
Observed 95% CL limit for the gtt off-shell grid.
Observed 95% CL limit for the gtt off-shell grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the gtt off-shell grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the gtt off-shell grid.
Expected 95% CL limit for the gtt off-shell grid with an up variation of the uncertainties.
Expected 95% CL limit for the gtt off-shell grid with a down variation of the uncertainties.
Observed 95% CL limit for the RPV grid.
Observed 95% CL limit for the RPV grid when the signal cross section is increased by one standard deviation.
Observed 95% CL limit for the RPV grid when the signal cross section is decreased by one standard deviation.
Expected 95% CL limit for the RPV grid.
Expected 95% CL limit for the RPV grid with an up variation of the uncertainties.
Expected 95% CL limit for the RPV grid with a down variation of the uncertainties.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-7j80-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-7j80-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-7j80-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j80-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j80-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j80-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j80-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j80-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j80-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j50-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-8j50-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j50-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-9j50-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-10j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-10j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-10j50-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-10j50-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-11j50-0b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-11j50-1b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
Number of signal events expected for 36.1 fb$^{-1}$ at different stages of the event selection for the signal region SR-11j50-2b in a pMSSM inspired model where m($\tilde{g}$) = 1400 GeV and m($\tilde{\chi}_{0}^{1}$) = 200 GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j50-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j50-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j50-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j50-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j50-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j50-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-10j50-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-10j50-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-10j50-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-11j50-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-11j50-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-11j50-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-7j80-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-7j80-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-7j80-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j80-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j80-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j80-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j80-0b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j80-1b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j80-2b. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j50-0b-MJ340. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-8j50-0b-MJ500. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j50-0b-MJ340. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-9j50-0b-MJ500. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-10j50-0b-MJ340. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
$E_{\mathrm{T}}^{\mathrm{miss}} / \sqrt{H_{\mathrm{T}}}$ distribution in signal region SR-10j50-0b-MJ500. Two benchmark signal models are overlaid on the plot for comparison. Labelled `pMSSM' and `2-step', they show signal distributions from the example SUSY models (as described in the paper): a pMSSM slice model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{\pm}}$) = (1300, 200) GeV and a cascade decay model with ($m \tilde{g}$, $m \tilde{\chi_{1}^{0}}$) = (1300, 200) GeV.
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with no b-jet requirement and a minimum transverse momentum of 50 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with one inclusive b-jet required and a minimum transverse momentum of 50 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with two inclusive b-jets required and a minimum transverse momentum of 50 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with no b-jet requirement and a minimum transverse momentum of 80 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with one inclusive b-jet required and a minimum transverse momentum of 80 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the flavour stream with two inclusive b-jets required and a minimum transverse momentum of 80 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the fat-jet stream with MJSigma above 340 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
Degree of multijet closure for signal and vaidation regions (prior to the leptonic background fit) for the fat-jet stream with MJSigma above 500 GeV. The solid lines are the pre-fit predicted numbers of events and the points are the observed numbers. The blue hatched band shows only the statistical (MC and data) uncertainty on the background estimate. The template closure uncertainty for each SR bin is given by the maximal deviation of data from prediction in any non-SR bin to its left on this plot (although those for 80 GeV regions are independent of deviations in 50 GeV regions).
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the 2Step grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the 2Step grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the 2Step grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the pMSSM grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the pMSSM grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the pMSSM grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the RPV grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the RPV grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the RPV grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the gtt off-shell grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the gtt off-shell grid.
The best-expected signal region and the corresponding best-observed and best-expected CLs values for the gtt off-shell grid.
95% CLs observed upper limit on model cross-section (in fb) for 2Step signal points for the best-expected signal region.
95% CLs observed upper limit on model cross-section (in fb) for RPV signal points for the best-expected signal region.
95% CLs observed upper limit on model cross-section (in fb) for gtt off-shell signal points for the best-expected signal region.
Performance of the SR-8j50-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j50-0b-MJ340 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j50-0b-MJ500 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j50-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j50-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j50-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j50-0b-MJ340 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j50-0b-MJ500 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j50-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j50-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-10j50-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-10j50-0b-MJ340 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-10j50-0b-MJ500 for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-10j50-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-10j50-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-11j50-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-11j50-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-11j50-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-7j80-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-7j80-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-7j80-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j80-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j80-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-8j80-2b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j80-0b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j80-1b for the 2Step grid: fractional acceptance; fractional efficiency.
Performance of the SR-9j80-2b for the 2Step grid: fractional acceptance; fractional efficiency.
This paper reports the results of a search for strong production of supersymmetric particles in 20.1 fb$^{-1}$ of proton-proton collisions at a centre-of-mass energy of 8 TeV using the ATLAS detector at the LHC. The search is performed separately in events with either zero or at least one high $p_\mathrm{T}$ lepton (electron or muon), large missing transverse momentum, high jet multiplicity and at least three jets identified as originated from the fragmentation of a b-quark. No excess is observed with respect to the Standard Model predictions. The results are interpreted in the context of several supersymmetric models involving gluinos and scalar top and bottom quarks, as well as a mSUGRA/CMSSM model. Gluino masses up to 1340 GeV are excluded, depending on the model, significantly extending the previous ATLAS limits.
A search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks into the lightest neutralino ($\displaystyle\tilde\chi^0_1$) is reported. It uses LHC proton--proton collision data at a centre-of-mass energy $\sqrt{s} = 13$ TeV with an integrated luminosity of 36.1 fb$^{-1}$ collected with the ATLAS detector in 2015 and 2016. The search is performed in events containing large missing transverse momentum and several energetic jets, at least three of which must be identified as originating from $b$-quarks. To increase the sensitivity, the sample is divided into subsamples based on the presence or absence of electrons or muons. No excess is found above the predicted background. For $\displaystyle\tilde\chi^0_1$ masses below approximately 300 GeV, gluino masses of less than 1.97 (1.92) TeV are excluded at 95% confidence level in simplified models involving the pair production of gluinos that decay via top (bottom) squarks. An interpretation of the limits in terms of the branching ratios of the gluinos into third-generation squarks is also provided. These results improve upon the exclusion limits obtained with the 3.2 fb$^{-1}$ of data collected in 2015.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Expected 95% CL exclusion contour for Gtt model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Observed 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gbb model.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.8 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 2.0 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 600 GeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Expected 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Observed 95% CL exclusion contour for Gluino mass = 1.9 TeV, Neutralino mass = 1 TeV.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gbb-VC.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-Gtt-1l-B.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-1L-II.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HI.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Distribution of ETMISS for SR-0L-HH.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-B.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-M.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-C.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gbb model in SR-Gbb-VC.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-B.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-M.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-0l-C.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-B.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-M.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Acceptances for Gtt model in SR-Gtt-1l-C.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-B.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-M.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-C.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gbb model in SR-Gbb-VC.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-B.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-B.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-1l-M.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
Experimental efficiencies for Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gbb model in SR-Gbb-VC.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-0l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-B.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-M.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
95% CL upper limit on the cross-section times branching ratio (in fb) for the Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-B.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-M.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-C.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Expected 95% CL exclusion contour for Gbb model in SR-Gbb-VC.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-0l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-B.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-M.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Observed 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected 95% CL exclusion contour for Gtt model in SR-Gtt-1l-C.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-B selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-M selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-C selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gbb-0L-VC selection for a Gbb signal point (MGLUON,MNEUTRALINO) = (1900,1400) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-1L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-B selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-M selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
Expected number of signal events after each step of the Gtt-0L-C selection for a Gtt signal point (MGLUON,MNEUTRALINO) = (1900,1) GeV.
When you search on a word, e.g. 'collisions', we will automatically search across everything we store about a record. But sometimes you may wish to be more specific. Here we show you how.
Guidance on the query string syntax can also be found in the OpenSearch documentation.
About HEPData Submitting to HEPData HEPData File Formats HEPData Coordinators HEPData Terms of Use HEPData Cookie Policy
Status
Email
Forum
Twitter
GitHub
Copyright ~1975-Present, HEPData | Powered by Invenio, funded by STFC, hosted and originally developed at CERN, supported and further developed at IPPP Durham.