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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.
Many extensions of the Standard Model predict the existence of charged heavy long-lived particles, such as $R$-hadrons or charginos. These particles, if produced at the Large Hadron Collider, should be moving non-relativistically and are therefore identifiable through the measurement of an anomalously large specific energy loss in the ATLAS pixel detector. Measuring heavy long-lived particles through their track parameters in the vicinity of the interaction vertex provides sensitivity to metastable particles with lifetimes from 0.6 ns to 30 ns. A search for such particles with the ATLAS detector at the Large Hadron Collider is presented, based on a data sample corresponding to an integrated luminosity of 18.4 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}$ = 8 TeV. No significant deviation from the Standard Model background expectation is observed, and lifetime-dependent upper limits on $R$-hadrons and chargino production are set. Gluino $R$-hadrons with 10 ns lifetime and masses up to 1185 GeV are excluded at 95$\%$ confidence level, and so are charginos with 15 ns lifetime and masses up to 482 GeV.
Ratio of the reconstructed mass, computed as the most probable value of a fit to a Landau distribution convolved with a Gaussian, to the generated mass, as a function of the generated mass for stable gluino R-hadrons, along with the half-width at half maximum of the reconstructed mass distribution normalised to the generated mass.
Efficiency for the calorimetric MET>80 GeV trigger as a function of the stable R-hadron mass.
Efficiency for the calorimetric MET>80 GeV trigger as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass 100 GeV with a lifetime of 1 ns.
Efficiency for the calorimetric MET>80 GeV trigger as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass = m(gluino) - 100 GeV with a lifetime of 1 ns.
Efficiency for the calorimetric MET>80 GeV trigger as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass 100 GeV with a lifetime of 1 ns.
Efficiency for the calorimetric MET>80 GeV trigger as a function of the stable chargino mass.
Total selection efficiency as a function of the stable R-hadron mass.
Total selection efficiency as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass 100 GeV with a lifetime of 10 ns.
Total selection efficiency as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass = m(gluino) - 100 GeV with a lifetime of 10 ns.
Total selection efficiency as a function of the metastable R-hadron mass. The R-hadron decays to g/qq plus neutralino of mass 100 GeV with a lifetime of 1 ns.
Total selection efficiency as a function of the stable chargino mass.
Ionisation distribution of all the CR2 tracks, and those not matched to a reconstructed muon. The two distributions are normalised to their total number of entries.
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for an example of gluino R-hadron signal, for searches for stable particles. The signal distributions are stacked on the expected background, and a narrower binning is used for them to allow the signal shape to be seen more clearly. The number of signal events is that expected according to the theoretical cross sections.
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for one example of chargino signal, for searches for stable particles. The signal distributions are stacked on the expected background, and a narrower binning is used for them to allow the signal shape to be seen more clearly. The number of signal events is that expected according to the theoretical cross sections.
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for background and data, for searches for stable particles. The expected background is shown with its total uncertainty (sum in quadrature of statistical, normalisation and systematic errors).
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for an example of gluino R-hadron signal, for searches for metastable particles. The signal distributions are stacked on the expected background, and a narrower binning is used for them to allow the signal shape to be seen more clearly. The number of signal events is that expected according to the theoretical cross sections.
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for an example of chargino signal, for searches for metastable particles. The signal distributions are stacked on the expected background, and a narrower binning is used for them to allow the signal shape to be seen more clearly. The number of signal events is that expected according to the theoretical cross sections.
Distribution of the mass of selected candidates, derived from the specific ionisation loss, for background and data. The expected background is shown with its total uncertainty (sum in quadrature of statistical, normalisation and systematic errors).
Theoretical values for the cross section of gluino pairs production with their uncertainty.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into g/qq plus a light neutralino of mass 100 GeV, in the background-only case, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into g/qq plus a light neutralino of mass 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into g/qq plus a heavy neutralino of mass(gluino) - 100 GeV, in the background-only case, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into g/qq plus a heavy neutralino of mass(gluino) - 100 GeV.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section, plus 1 experimental sigma.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section, minus 1 experimental sigma.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section minus its uncertainty.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section plus its uncertainty.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section, plus 1 experimental sigma.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section, minus 1 experimental sigma.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section minus its uncertainty.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section plus its uncertainty.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into tt plus a light neutralino of mass 100 GeV, in the background-only case, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into tt plus a light neutralino of mass 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into tt plus a heavy neutralino of mass(gluino) - 100 GeV, in the background-only case, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau =10 ns, decaying into tt plus a heavy neutralino of mass(gluino) - 100 GeV.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section, plus 1 experimental sigma.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section, minus 1 experimental sigma.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section minus its uncertainty.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a light neutralino of mass 100 GeV, with respect to the nominal theoretical cross section plus its uncertainty.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section, plus 1 experimental sigma.
The expected excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section, minus 1 experimental sigma.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section minus its uncertainty.
The observed excluded range of lifetimes as a function of gluino mass for gluino R-hadrons decaying into tt plus a heavy neutralino of mass = m(gluino) - 100 GeV, with respect to the nominal theoretical cross section plus its uncertainty.
Theoretical values for the production cross section of charginos or chargino/neutralino pairs, with their uncertainty.
Expected upper limits on the production cross section as a function of mass for metastable charginos, with lifetime tau =1.0 ns, decaying into neutralino + pion, in the background-only case, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable charginos, with lifetime tau =1.0 ns, decaying into neutralino + pion.
The expected excluded range of lifetimes as a function of chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section.
The expected excluded range of lifetimes as a function of chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section, plus 1 experimental sigma.
The expected excluded range of lifetimes as a function of chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section, minus 1 experimental sigma.
The observed excluded range of lifetimes as a function of chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section.
The observed excluded range of lifetimes as a function of chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section minus its uncertainty.
The observed excluded range of lifetimes as a function of gluino mass for chargino mass for charginos decaying into neutralino plus pion, with respect to the nominal theoretical cross section plus its uncertainty.
dEdx ionization for data, 1 TeV gluino R-hadrons stable and decaying in 100 GeV neutralinos with a 10 ns lifetime and for charginos of 350 GeV. Tracks that fulfil all the requirements up to including the High-m_T (see Tab.1 in the paper) are considered at this stage and normalised to an integrated luminosity of 18.4 fb^-1.
Expected upper limits on the production cross section as a function of mass for stable gluino R-hadrons, in case of background only, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for stable gluino R-hadrons.
Theoretical values for the cross section of squark pairs production with their uncertainty.
Expected upper limits on the production cross section as a function of mass for stable sbottom R-hadrons, in case of background only, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for stable sbottom $R$-hadrons. Cross section IN PB.
Expected upper limits on the production cross section as a function of mass for stop R-hadrons, in case of background only, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for stop R-hadrons.
Expected upper limits on the production cross section as a function of mass for stable charginos, in case of background only, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for stable charginos.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to g/qq plus a light neutralino of mass 100 GeV.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to g/qq plus a light neutralino of mass 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to g/qq plus a heavy neutralino of mass = m(gluino) - 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to tt plus a light neutralino of mass 100 GeV.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to tt plus a light neutralino of mass 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to tt plus a heavy neutralino of mass = m(gluino) - 100 GeV.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable gluino R-hadrons, with lifetime tau=1.0 ns, decaying to tt plus a heavy neutralino of mass = m(gluino) - 100 GeV.
Expected upper limits on the production cross section as a function of mass for metastable charginos, with lifetime tau =15 ns, decaying to neutralino and pion, in case of background only, with its 1 sigma band.
Observed 95 PCT upper limits on the production cross section as a function of mass for metastable charginos, with lifetime tau =15 ns, decaying to neutralino and pion, in case of background only, with its 1 sigma band.
Results are presented of a search for supersymmetric particles in events with large missing transverse momentum and at least one heavy flavour jet candidate in sqrt{s} = 7 TeV proton-proton collisions. In a data sample corresponding to an integrated luminosity of 35 pb-1 recorded by the ATLAS experiment at the Large Hadron Collider, no significant excess is observed with respect to the prediction for Standard Model processes. For R-parity conserving models in which sbottoms (stops) are the only squarks to appear in the gluino decay cascade, gluino masses below 590 GeV (520 GeV) are excluded at the 95% C.L. The results are also interpreted in an MSUGRA/CMSSM supersymmetry breaking scenario with tan(beta)=40 and in an SO(10) model framework.
Distribution of the effective mass for data and the SM expectation in the zero-lepton plus 3 jet channel.
Distribution of the missing ET for data and the SM expectation in the zero-lepton plus 3 jet channel.
Distribution of the effective mass for data and the SM expectation in the one-lepton plus 2 jet channel.
Distribution of the missing ET for data and the SM expectation in the one-lepton plus 2 jet channel.
Observed 95 PCT exclusion limit in the M(gluino), M(sbottom) plane obtained with the zero-lepton channel data.
Expected 95 PCT exclusion limit in the M(gluino), M(sbottom) plane obtained with the zero-lepton channel data.
Observed and expected 95 PCT CL upper limits on the gluino-mediated and stop pair production cross section as a function of the gluino mass for a stop mass od 180 GeV, for the one-lepton analysis.
Observed and expected 95 PCT CL upper limits on the gluino-mediated and stop pair production cross section as a function of the gluino mass for a stop mass od 210 GeV, for the one-lepton analysis.
Observed 95 PCT CL exclusion limits from the zero-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
Expected 95 PCT CL exclusion limits from the zero-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
Observed 95 PCT CL exclusion limits from the one-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
Expected 95 PCT CL exclusion limits from the one-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
Observed 95 PCT CL exclusion limits from the combined zero and one-lepton analyses on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
Expected 95 PCT CL exclusion limits from the combined zero and one-lepton analyses on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.
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.
Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SR-low. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the slepton model with m(gluino) = 1200 GeV and m(neutralino1) = 900 GeV is overlaid.
Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SR-med. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the slepton model with m(gluino) = 1600 GeV and m(neutralino1) = 900 GeV, and from an on-$Z$ model with m(gluino) = 1640 GeV and m(neutralino1) = 1160 GeV, is overlaid.
Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SR-high. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the slepton model with m(gluino) = 1800 GeV and m(neutralino1) = 500 GeV, and from an on-$Z$ model with m(gluino) = 1650 GeV and m(neutralino1) = 550 GeV, is overlaid.
Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SRC of the low-pT edge search. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the $Z^{*}$ model with m(gluino) = 1000 GeV and m(neutralino1) = 900 GeV is overlaid.
Observed and expected dilepton mass distributions, with the bin boundaries considered for the interpretation, in SRC-MET of the low-pT edge search. All statistical and systematic uncertainties of the expected background are included in the hatched band. An example signal from the $Z^{*}$ model with m(gluino) = 1000 GeV and m(neutralino1) = 900 GeV is overlaid.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Observed 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Expected 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Observed 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.
Expected 95% CL exclusion contours on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.
Observed 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.
Expected 95% CL exclusion contours from the low-p$_{T}$ signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson and the lightest neutralino.
Observed 95% CL exclusion contours from the on-Z signal regions on the gluino and next-to-lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Expected 95% CL exclusion contours from the on-Z signal regions on the gluino and next-to-lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Observed 95% CL exclusion contours from the on-Z signal regions on the squark and next-to-lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Expected 95% CL exclusion contours from the on-Z signal regions on the squark and next-to-lightest neutralino masses in a SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Observed 95% CL exclusion contours from the on-Z signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino.
Expected 95% CL exclusion contours from the on-Z signal regions on the gluino and lightest neutralino masses in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and the lightest neutralino.
Acceptance and efficiency in the on-Z bin for SR-medium for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Acceptance and efficiency in the on-Z bin for SR-high for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
Acceptance and efficiency over the full $m_{ll}$ range for SR-low for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Acceptance and efficiency over the full $m_{ll}$ range for SR-medium for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Acceptance and efficiency over the full $m_{ll}$ range for SR-high for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Acceptance and efficiency over the full $m_{ll}$ range for SRC for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
Acceptance and efficiency over the full $m_{ll}$ range for SRC-MET for a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the on-Z $m_{ll}$ windows of SR-medium and SR-high, in a SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the signal regions, in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the low-p$_{T}$ signal regions, in a SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the signal regions, in a SUSYscenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson.
The grey numbers show the 95% CL upper limits on the production cross section at each model point, derived from the best expected combination of results in the low-p$_{T}$ signal regions, in a SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson.
Cutflow table for three benchmark signal points from the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, with m(gluino) = 1395 GeV and m(neutralino2) = 505 GeV, m(gluino) = 920 GeV and m(neutralino2) = 230 GeV and m(gluino) = 940 GeV and m(neutralino2) = 660 GeV, in the on-$Z$ $m_{ll}$ bins of SR-medium and SR-high for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cutflow table for a signal point from the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, with m(gluino) = 1000 GeV and m(neutralino1) = 800 GeV, m(gluino) = 1200 GeV and m(neutralino1) = 500 GeV and m(gluino) = 1400 GeV and m(neutralino1) = 100 GeV, in all m_{ll}$ bins of SR-low, SR-medium and SR-high for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Cutflow table for a signal point from the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, with m(gluino) = 600 GeV and m(neutralino1) = 560 GeV and m(gluino) = 1000 GeV and m(neutralino1) = 960 GeV, in all $m_{ll}$ bins of SRC and SRC-MET for the electron and muon channels separately. The numbers are normalized to a luminosity of 36.1 fb$^{-1}$.
Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.
Signal region used to derive the exclusion limit for the SUSY scenario where squarks are produced in pairs and decay to an on-shell Z-boson and a 1 GeV lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.
Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on-shell Z-boson the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.
Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, corresponding to the SR determined to give the best expected limit for a given signal point.
Low-$p_{T}$ signal region used to derive the exclusion limit in the compressed region for the SUSY scenario where gluinos are produced in pairs and decay to an on- or off-shell $Z$ boson, corresponding to the SR determined to give the best expected limit for a given signal point.
Signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.
Low-$p_{T}$ signal region used to derive the exclusion limit for the SUSY scenario where gluinos are produced in pairs and decay via sleptons into the lightest neutralino, corresponding to the SR determined to give the best expected limit for a given signal point.
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).
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.
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 increased by one standard deviation.
Observed 95% CL limit for the pMSSM grid when the signal cross section is decreased 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.
Expected 95% CL limit for the pMSSM grid with an up variation of the uncertainties.
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.
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.
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 increased by one standard deviation.
Observed 95% CL limit for the 2Step grid when the signal cross section is decreased 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.
Expected 95% CL limit for the 2Step grid with an up variation of the uncertainties.
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.
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.
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 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.
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.
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 an up variation of the uncertainties.
Expected 95% CL limit for the gtt off-shell grid with a down 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.
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 increased by one standard deviation.
Observed 95% CL limit for the RPV grid when the signal cross section is decreased 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.
Expected 95% CL limit for the RPV grid with an up variation of the uncertainties.
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.
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-7j80-0b 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-7j80-1b 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-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-8j80-0b 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-8j80-1b 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-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-9j80-0b 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-9j80-1b 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-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-8j50-0b 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-8j50-1b 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-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-9j50-0b 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-9j50-1b 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-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-10j50-0b 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-10j50-1b 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-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-11j50-0b 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-11j50-1b 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.
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-8j50-0b. 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-8j50-1b. 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-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-9j50-0b. 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-9j50-1b. 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-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-10j50-0b. 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-10j50-1b. 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-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-11j50-0b. 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-11j50-1b. 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-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-7j80-0b. 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-7j80-1b. 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-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-8j80-0b. 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-8j80-1b. 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-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-9j80-0b. 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-9j80-1b. 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-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-10j50-1b 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.
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.
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.
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.
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.
Expected 95% CL exclusion contours for the squark one-step variable-x model.
Observed 95% CL exclusion contours for the gluino two-step model.
Observed 95% CL exclusion contours for the gluino two-step model.
Expected 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.
Observed 95% CL exclusion contours for pMSSM model.
Expected 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 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 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 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 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 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 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 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 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.
$m_{\mathrm{eff}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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.
$E_{\mathrm T}^{\mathrm{miss}}$ 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.
$m_{\mathrm{T}}$ 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} >$25 GeV).
Cutflow table for the 2J discovery signal region with a representative target signal model. The weighted numbers are normalized to 36.1 fb$^{-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} >$25 GeV).
A search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks into the lightest neutralino ($\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.
A search for supersymmetry in events with large missing transverse momentum, jets, and at least one hadronically decaying $\tau$-lepton is presented. Two exclusive final states with either exactly one or at least two $\tau$-leptons are considered. The analysis is based on proton-proton collisions at $\sqrt{s}$ = 13 TeV corresponding to an integrated luminosity of 36.1 fb$^{-1}$ delivered by the Large Hadron Collider and recorded by the ATLAS detector in 2015 and 2016. No significant excess is observed over the Standard Model expectation. At 95% confidence level, model-independent upper limits on the cross section are set and exclusion limits are provided for two signal scenarios: a simplified model of gluino pair production with $\tau$-rich cascade decays, and a model with gauge-mediated supersymmetry breaking (GMSB). In the simplified model, gluino masses up to 2000 GeV are excluded for low values of the mass of the lightest supersymmetric particle (LSP), while LSP masses up to 1000 GeV are excluded for gluino masses around 1400 GeV. In the GMSB model, values of the supersymmetry-breaking scale are excluded below 110 TeV for all values of $\tan\beta$ in the range $2 \leq \tan\beta \leq 60$, and below 120 TeV for $\tan\beta>30$.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ Compressed SR eff.
1$\tau$ MediumMass SR eff.
1$\tau$ MediumMass SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ Compressed SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ HighMass SR eff.
2$\tau$ multibin SR eff.
2$\tau$ multibin SR eff.
2$\tau$ GMSB SR eff.
2$\tau$ GMSB SR eff.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ Compressed SR acceptance.
1$\tau$ MediumMass SR acceptance.
1$\tau$ MediumMass SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ Compressed SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ HighMass SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ multibin SR acceptance.
2$\tau$ GMSB SR acceptance.
2$\tau$ GMSB SR acceptance.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $1\tau$ medium-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ compressed SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ high-mass SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ multibin SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Cutflow table of the $2\tau$ GMSB SR for the four signal benchmark scenarios of low, medium, and high mass-splitting in the simplified model as well as the GMSB model.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Best performing fit setups entering the final combination as a function of the LSP mass and the gluino mass. 'S' marks the simultaneous fit of the four simplified model single-bin SRs, 'M' denotes the simultaneous fit of the two $1\tau$ SRs and the $2\tau$ multibin SR.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Expected exclusion contour at 95% CL as a function of tanBeta and the SUSY-breaking mass scale Lambda.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Expected exclusion contour at 95% CL as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of tanBeta and SUSY breaking mass scale Lambda.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Observed upper limits on the production cross section at 95% CL in pb as a function of the LSP mass and the gluino mass.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
Yields of the expected background from the SM in the bins of the multibin SR of the $2\tau$ channel with all bins being simultaneously used to constrain the background prediction. Expectation is given with the scalings computed in the combined fit applied. Uncertainties are statistial plus systematrics. Only the subsamples contributing the respective region are considered.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the compressed $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the medium-mass $m_{\mathrm{T}}^{\tau}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$E_{\mathrm{T}}^{\mathrm{miss}}$ in the medium-mass $E_{\mathrm{T}}^{\mathrm{miss}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the medium-mass $H_{\mathrm{T}}$ VR of the $1\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the top VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$H_{\mathrm{T}}$ in the $W$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau_1}$ + $m_{\mathrm{T}}^{\tau_2}$ in the $Z$ VR of the $2\tau$ channel, illustrating the background modeling after the fit. The last bin includes overflow events.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\tau}$ in the compressed SR of the $1\tau$ channel before application of the $m_{\mathrm{T}}^{\tau}$ > 80 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the medium-mass SR of the $1\tau$ channel before application of the $H_{\mathrm{T}}$ > 1000 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$m_{\mathrm{T}}^{\mathrm{sum}}$ in the compressed SR of the $2\tau$ channel before application of the $m_{\mathrm{T}}^{\mathrm{sum}}$ > 1600 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the high-mass SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1100 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
mT(tau_1) + mT(tau_2) in the multibin SR of the 2T channel. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
$H_{\mathrm{T}}$ in the GMSB SR of the $2\tau$ channel before application of the $H_{\mathrm{T}}$ > 1900 GeV requirement. The last bin includes overflow events. Signal predictions corresponding to the simplified model scenarios of low (LM), medium (MM), and high mass-splitting (HM) as well as for the GMSB benchmark are given.
This Letter presents a search for heavy charged long-lived particles produced in proton-proton collisions at $\sqrt{s} = 13$ TeV at the LHC using a data sample corresponding to an integrated luminosity of 36.1 fb$^{-1}$ collected by the ATLAS experiment in 2015 and 2016. These particles are expected to travel with a velocity significantly below the speed of light, and therefore have a specific ionisation higher than any high-momentum Standard Model particle of unit charge. The pixel subsystem of the ATLAS detector is used in this search to measure the ionisation energy loss of all reconstructed charged particles which traverse the pixel detector. Results are interpreted assuming the pair production of $R$-hadrons as composite colourless states of a long-lived gluino and Standard Model partons. No significant deviation from Standard Model background expectations is observed, and lifetime-dependent upper limits on $R$-hadron production cross-sections and gluino masses are set, assuming the gluino always decays in two quarks and a stable neutralino. $R$-hadrons with lifetimes above 1.0 ns are excluded at the 95% confidence level, with lower limits on the gluino mass ranging between 1290 GeV and 2060 GeV. In the case of stable $R$-hadrons, the lower limit on the gluino mass at the 95% confidence level is 1890 GeV.
The number of events in each CR, VR, and SR for the predicted background, for the expected contribution from the signal model normalised to $36.1$ fb$^{-1}$, and in the observed data. The predicted background includes the statistical and systematic uncertainties, respectively. The uncertainty in the signal yield includes all systematic uncertainties except that in the theoretical cross-section.
The number of events in each CR, VR, and SR for the predicted background, for the expected contribution from the signal model normalised to $36.1$ fb$^{-1}$, and in the observed data. The predicted background includes the statistical and systematic uncertainties, respectively. The uncertainty in the signal yield includes all systematic uncertainties except that in the theoretical cross-section.
Expected number of $R$-hadron signal events at different stages of the selection, normalised to $36.1$ fb$^{-1}$. Shown for three different signal points is the number of events expected and the number of events expected in which the selected track has been matched to a generated $R$-hadron. If the gluino decays, it decays to a 100 GeV $\tilde{\chi}^{0}$ and SM quarks.
The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the stable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.
The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the metastable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.
For each gluino lifetime and mass in the signal samples, the lower boundary of the mass window in which at least $70\%$ of the reconstructed signal appears. The upper boundary for all mass windows is 5 TeV.
Acceptance and efficiency for a representative set of pair-produced gluino signal samples. The mass of the gluino ($m(\tilde{g})$), its lifetime ($\tau(\tilde{g})$) and the mass of the neutralino ($m(\tilde{\chi}^{0})$) are given in the first three columns. The Pythia 6.4.27 signal samples shown in this table are not reweighted to match the transverse momentum of the gluino-gluino system as simulated by MadGraph5_aMC@NLO. The acceptance is defined as the fraction of events passing a loose set of fiducial requirements. The full simulation efficiency (Full sim. $\epsilon$) is defined as the ratio of the number of reconstructed events, as expected by the full ATLAS simulation, and the number of events passing the fiducial requirements. The parameterised simulation efficiency (Param. sim. $\epsilon$) is defined as the ratio of the number of events estimated using a set of parametrised efficiencies (see auxiliary Figures 9,10,11,12) and the number of events passing the fiducial requirements alone.
The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the metastable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.
The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the stable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 10$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for stable gluino $R$-hadrons, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
Observed 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.
Expected 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 1$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 3$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 30$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 50$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The relationship between generated and reconstructed mass for gluino $R$-hadrons. Above 1500 GeV, the reconstructed mass falls below the generated mass due to bias in the reconstructed momentum. The uncertainty on the reconstructed mass is dominated by momentum uncertainty. The black dots represent the reconstructed mass computed as the most probable value of a Gaussian fit function, with the error bars showing its statistical uncertainty, while the orange band is the full-width at half maximum of the reconstructed mass distribution.
The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The metastable event efficiencies are evaluated for different radial regions depending on the smallest radial distance, R, at which an R-hadron decays in the detector.
The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The stable event efficiencies are evaluated for samples in which no R-hadron decays within the detector.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$. The stable efficiency is evaluated for samples which do not decay within the detector. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
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