Observed and expected background and signal effective mass distributions for SR2jl. For signal, a squark direct decay model with $m(\tilde q)=800$ GeV and $m(\tilde\chi^0_1)=400$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR2jm. For signal, a gluino direct decay model with $m(\tilde g)=750$ GeV and $m(\tilde\chi^0_1)=660$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR2jt. For signal, a squark direct decay model with $m(\tilde q)=1200$ GeV and $m(\tilde\chi^0_1)=0$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR4jt. For signal, a gluino direct decay model with $m(\tilde g)=1400$ GeV and $m(\tilde\chi^0_1)=0$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR5j. For signal, a gluino one-step decay model with $m(\tilde g)=1265$ GeV, $m(\tilde\chi^\pm_1)=945$ GeV and $m(\tilde\chi^0_1)=625$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR6jm. For signal, a gluino one-step decay model with $m(\tilde g)=1265$ GeV, $m(\tilde\chi^\pm_1)=945$ GeV and $m(\tilde\chi^0_1)=625$ GeV is shown.

Observed and expected background and signal effective mass distributions for SR6jt. For signal, a gluino one-step decay model with $m(\tilde g)=1385$ GeV, $m(\tilde\chi^\pm_1)=705$ GeV and $m(\tilde\chi^0_1)=25$ GeV is shown.

Expected limit at 95% CL for squark direct decay model grid.

Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for squark direct decay model grid.

Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for squark direct decay model grid.

Observed limits at 95% CL for squark direct decay model grid.

Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for squark direct decay model grid.

Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for squark direct decay model grid.

Expected limit at 95% CL for gluino direct decay model grid.

Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino direct decay model grid.

Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino direct decay model grid.

Observed limits at 95% CL for gluino direct decay model grid.

Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for gluino direct decay model grid.

Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for gluino direct decay model grid.

Expected limit at 95% CL for gluino one-step decay model grid.

Expected limits at 95% CL +1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino one-step decay model grid.

Expected limits at 95% CL -1 sigma excursion due to experimental and background-only theoretical uncertainties for gluino one-step decay model grid.

Observed limits at 95% CL for gluino one-step decay model grid.

Observed limits at 95% CL +1 sigma excursion due to the signal cross-section uncertainty for gluino one-step decay model grid.

Observed limits at 95% CL -1 sigma excursion due to the signal cross-section uncertainty for gluino one-step decay model grid.

Observed and expected background effective mass distributions in control region CRgamma for SR2jl.

Observed and expected background effective mass distributions in validation region VRZ for SR2jl.

Observed and expected background effective mass distributions in control region CRW for SR2jl.

Observed and expected background effective mass distributions in control region CRT for SR2jl.

Observed and expected background effective mass distributions in control region CRgamma for SR2jm.

Observed and expected background effective mass distributions in validation region VRZ for SR2jm.

Observed and expected background effective mass distributions in control region CRW for SR2jm.

Observed and expected background effective mass distributions in control region CRT for SR2jm.

Observed and expected background effective mass distributions in control region CRgamma for SR2jt.

Observed and expected background effective mass distributions in validation region VRZ for SR2jt.

Observed and expected background effective mass distributions in control region CRW for SR2jt.

Observed and expected background effective mass distributions in control region CRT for SR2jt.

Observed and expected background effective mass distributions in control region CRgamma for SR4jt.

Observed and expected background effective mass distributions in validation region VRZ for SR4jt.

Observed and expected background effective mass distributions in control region CRW for SR4jt.

Observed and expected background effective mass distributions in control region CRT for SR4jt.

Observed and expected background effective mass distributions in control region CRgamma for SR5j.

Observed and expected background effective mass distributions in validation region VRZ for SR5j.

Observed and expected background effective mass distributions in control region CRW for SR5j.

Observed and expected background effective mass distributions in control region CRT for SR5j.

Observed and expected background effective mass distributions in control region CRgamma for SR6jm.

Observed and expected background effective mass distributions in validation region VRZ for SR6jm.

Observed and expected background effective mass distributions in control region CRW for SR6jm.

Observed and expected background effective mass distributions in control region CRT for SR6jm.

Observed and expected background effective mass distributions in control region CRgamma for SR6jt.

Observed and expected background effective mass distributions in validation region VRZ for SR6jt.

Observed and expected background effective mass distributions in control region CRW for SR6jt.

Observed and expected background effective mass distributions in control region CRT for SR6jt.

Observed and expected event yields in VRZ as a function of signal region.

Observed and expected event yields in VRW as a function of signal region.

Observed and expected event yields in VRWv as a function of signal region.

Observed and expected event yields in VRT as a function of signal region.

Observed and expected event yields in VRTv as a function of signal region.

Observed and expected event yields in VRQa as a function of signal region.

Observed and expected event yields in VRQb as a function of signal region.

Signal acceptance for SR2jl in squark direct decay model grid.

Signal acceptance times efficiency for SR2jl in squark direct decay model grid.

Signal acceptance for SR2jm in squark direct decay model grid.

Signal acceptance times efficiency for SR2jm in squark direct decay model grid.

Signal acceptance for SR2jt in squark direct decay model grid.

Signal acceptance times efficiency for SR2jt in squark direct decay model grid.

Signal acceptance for SR4jt in squark direct decay model grid.

Signal acceptance times efficiency for SR4jt in squark direct decay model grid.

Signal acceptance for SR5j in squark direct decay model grid.

Signal acceptance times efficiency for SR5j in squark direct decay model grid.

Signal acceptance for SR6jm in squark direct decay model grid.

Signal acceptance times efficiency for SR6jm in squark direct decay model grid.

Signal acceptance for SR6jt in squark direct decay model grid.

Signal acceptance times efficiency for SR6jt in squark direct decay model grid.

Signal acceptance for SR2jl in gluino direct decay model grid.

Signal acceptance times efficiency for SR2jl in gluino direct decay model grid.

Signal acceptance for SR2jm in gluino direct decay model grid.

Signal acceptance times efficiency for SR2jm in gluino direct decay model grid.

Signal acceptance for SR2jt in gluino direct decay model grid.

Signal acceptance times efficiency for SR2jt in gluino direct decay model grid.

Signal acceptance for SR4jt in gluino direct decay model grid.

Signal acceptance times efficiency for SR4jt in gluino direct decay model grid.

Signal acceptance for SR5j in gluino direct decay model grid.

Signal acceptance times efficiency for SR5j in gluino direct decay model grid.

Signal acceptance for SR6jm in gluino direct decay model grid.

Signal acceptance times efficiency for SR6jm in gluino direct decay model grid.

Signal acceptance for SR6jt in gluino direct decay model grid.

Signal acceptance times efficiency for SR6jt in gluino direct decay model grid.

Signal acceptance for SR2jl in gluino one-step decay model grid.

Signal acceptance times efficiency for SR2jl in gluino one-step decay model grid.

Signal acceptance for SR2jm in gluino one-step decay model grid.

Signal acceptance times efficiency for SR2jm in gluino one-step decay model grid.

Signal acceptance for SR2j5 in gluino one-step decay model grid.

Signal acceptance times efficiency for SR2jt in gluino one-step decay model grid.

Signal acceptance for SR4jt in gluino one-step decay model grid.

Signal acceptance times efficiency for SR4jt in gluino one-step decay model grid.

Signal acceptance for SR5j in gluino one-step decay model grid.

Signal acceptance times efficiency for SR5j in gluino one-step decay model grid.

Signal acceptance for SR6jm in gluino one-step decay model grid.

Signal acceptance times efficiency for SR6jm in gluino one-step decay model grid.

Signal acceptance for SR6jt in gluino one-step decay model grid.

Signal acceptance times efficiency for SR6jt in gluino one-step decay model grid.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_χ vs mediator mass m_med determined using the combined ee+μμ channel. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_χ vs mediator mass m_med determined using the combined ee+μμ channel. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of WIMP mass m_χ vs mediator mass m_med determined using the combined ee+μμ channel. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs, and the other grey line gives the perturbative limit (arXiv 1603.04156). The relic density line (arXiv 1603.04156) illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

The 95% CL upper limits on the production cross-section of the ZH process with the prompt Z→ ee and Z→ μμ decays and the invisible Higgs boson decays as a function of m_H, obtained from the combined ee+μμ channel. The observed and expected limits are given, as well as the ±1σ and ±2σ error bands on the expected limits. The signal process is only modelled for the qq initial state, and the theory uncertainties on the signal prediction are not considered.

DM exclusion limit in the two-dimensional phase space of m_χ vs m_med set using the combined ee+μμ channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_χ = 1. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_χ vs m_med set using the combined ee+μμ channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_χ = 1. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_χ vs m_med set using the combined ee+μμ channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_χ = 1. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

DM exclusion limit in the two-dimensional phase space of m_χ vs m_med set using the combined ee+μμ channel. The DM model assumes a vector mediator, a fermionic WIMP, and the coupling parameters g_q = 0.25 and g_χ = 1. Both the observed and expected limits are presented, and the 1σ uncertainty band for the expected limits is also provided. Regions bounded by the limit curves are excluded at the 95% CL. The grey line labelled with "m_med = 2m_χ'' indicates the kinematic threshold where the mediator can decay on-shell into WIMPs. The relic density line [arXiv 1603.04156] illustrates the combination of m_χ and m_med that would explain the observed DM relic density.

Limits on the WIMP and proton scattering cross section as a function of WIMP mass, obtained for simplified dark matter models with an axial-vector mediator (left) and a vector mediator (right). The solid black line shows the observed limit at the 90% confidence level from this search. The left plot incorporates the latest results from these competitive direct-search experiments, LUX [arXiv 1705.03380], PICO-2L [Phys. Rev. Lett. 114 (2015) 231302], and PICO-60 [arXiv 1702.07666]. The right plot incorporates the latest results from the following experiments, CRESST-II [Eur. Phys. J. C76 (2016) 25], CDMSlite [Phys. Rev. Lett. 116 (2016) 071301], PandaX-II [Phys. Rev. Lett. 117 (2016) 121303], LUX [Phys. Rev. Lett. 118 (2017) 021303], and XENON1T [arXiv 1705.06655].

Limits on the WIMP and proton scattering cross section as a function of WIMP mass, obtained for simplified dark matter models with an axial-vector mediator (left) and a vector mediator (right). The solid black line shows the observed limit at the 90% confidence level from this search. The left plot incorporates the latest results from these competitive direct-search experiments, LUX [arXiv 1705.03380], PICO-2L [Phys. Rev. Lett. 114 (2015) 231302], and PICO-60 [arXiv 1702.07666]. The right plot incorporates the latest results from the following experiments, CRESST-II [Eur. Phys. J. C76 (2016) 25], CDMSlite [Phys. Rev. Lett. 116 (2016) 071301], PandaX-II [Phys. Rev. Lett. 117 (2016) 121303], LUX [Phys. Rev. Lett. 118 (2017) 021303], and XENON1T [arXiv 1705.06655].

Reconstructed mtb distribution in data and for the background after the fit to the data in the signal region SR2. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

Reconstructed mtb distribution in data and for the background after the fit to the data in the signal region SR3. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

Reconstructed mtb distribution in data and for the background after the fit to the data in the validation region VR. The statistical uncertainty on data points is calculated using assymetric Poisson confidence intervals.

95% CL upper limits on the visible cross-section ($\langle\epsilon\mathcal{A}\sigma\rangle^{\rm obs}_{95}$) and on the number of BSM events ($S^{\rm obs}_{95}$ ). The third column ($S^{\rm exp}_{95}$) shows the 95% CL upper limit on the number of signal events, given the expected number (and $\pm 1\sigma$ excursions on the expectation) of background events. The last column indicates the discovery $p$-value ($p(s = 0)$) and Z (the number of equivalent Gaussian standard deviations).

Comparison of the data with the post-fit SM prediction of the $E_{\mathrm T}^{\mathrm{miss}}$ distribution in SRb1. The last bins include overflows, where applicable. All signal region requirements except the one on the distribution shown are applied. The signal region requirement on the distribution shown is indicated by an arrow. The bottom panel shows the ratio of the data over the prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit SM prediction of the $\cos{\theta}^*_{bb}$ distribution in SRb2. The last bins include overflows, where applicable. All signal region requirements except the one on the distribution shown are applied. The signal region requirement on the distribution shown is indicated by an arrow. The bottom panel shows the ratio of the data over the prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit SM prediction of the $m_{\mathrm T}^{\mathrm{b,min}}$ distribution in SRt1. The last bins include overflows, where applicable. All signal region requirements except the one on the distribution shown are applied. The signal region requirement on the distribution shown is indicated by an arrow. The bottom panel shows the ratio of the data over the prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit SM prediction of the $E_{\mathrm T}^{\mathrm{miss,sig}}$ distribution in SRt2. The last bins include overflows, where applicable. All signal region requirements except the one on the distribution shown are applied. The signal region requirement on the distribution shown is indicated by an arrow. The bottom panel shows the ratio of the data over the prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit SM prediction of the $\xi^{+}_{\ell\ell}$ distribution in SRt3. The last bins include overflows, where applicable. All signal region requirements except the one on the distribution shown are applied. The signal region requirement on the distribution shown is indicated by an arrow. The bottom panel shows the ratio of the data over the prediction. The band includes all systematic uncertainties.

Expected exclusion limits for colour-neutral scalar model in the SRb2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed exclusion limits for colour-neutral scalar model in SRb2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Expected exclusion limits for colour-neutral scalar model in the SRt1/SRt2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Observed exclusion limits for colour-neutral scalar model in SRt1/SRt2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Expected exclusion limits for colour-neutral scalar model in SRt3 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed exclusion limits for colour-neutral scalar model in SRt3 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Expected exclusion limits for colour-neutral pseudo-scalar model in SRb2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed exclusion limits for colour-neutral pseudo-scalar model in SRb2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Expected exclusion limits for colour-neutral pseudo-scalar model in SRt1/SRt2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Observed exclusion limits for colour-neutral pseudo-scalar model in SRt1/SRt2 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Expected limits for colour-neutral pseudo-scalar model in SRt3 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed exclusion limits for colour-neutral pseudo-scalar model in SRt3 as a function of the mediator mass for a DM mass of 1 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Expected exclusion limits for colour-neutral scalar model in SRt1/SRt2 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Observed exclusion limits for colour-neutral scalar model in SRt1/SRt2 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Expected exclusion limits for colour-neutral scalar model in SRt3 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed exclusion limits for colour-neutral scalar model in SRt3 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Expected exclusion limits for colour-neutral pseudo-scalar model in SRt1/SRt2 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Observed exclusion limits for colour-neutral pseudo-scalar model in SRt1/SRt2 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$. To derive the results for the fully hadronic $t\bar{t}$ final state the region among SRt1 and SRt2 providing the best expected sensitivity is used.

Expected exclusion limits for colour-neutral pseudo-scalar model in SRt3 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Observed xclusion limits for colour-neutral pseudo-scalar model in SRt3 as a function of the DM mass for a mediator mass of 10 GeV. The limits are calculated at 95% C.L. and are expressed in terms of the ratio of the excluded cross-section over the nominal cross-section for a coupling assumption of $g = g_\chi = g_\nu = 1$.

Comparison of the 90% CL limits on the spin-independent DM–nucleon cross-section versus mediator mass between these results and the direct-detection experiments, in the context of the colour-neutral simplified model with scalar mediator. The black line indicates the exclusion contour derived from the observed limits of SRt3. Values inside the contour are excluded.

Expected exclusion limits for colour-charged scalar mediators ($b$-FDM) as a function of the mediator and DM masses for $36.1fb^{-1}$ of data. The limits are calculated at 95% C.L for a coupling assumption $\lambda_b$ yielding the measured relic density.

Exclusion observed limits for colour-charged scalar mediators ($b-$FDM) as a function of the mediator and DM masses for $36.1fb^{-1}$ of data. The limits are calculated at 95% C.L for a coupling assumption $\lambda_b$ yielding the measured relic density.

Comparison of the data with the post-fit Monte Carlo prediction of sub leading jet $p_{T}$ in SRb1. The last bin includes overflows. The bottom panel shows the ratio of the data over the Monte Carlo prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit Monte Carlo prediction of $H_{\mathrm T}^{ratio}$ distribution in SRb2. The last bin includes overflows. The bottom panel shows the ratio of the data over the Monte Carlo prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit Monte Carlo prediction of $\Delta R_{bb}$ in SRt1. The last bin includes overflows. The bottom panel shows the ratio of the data over the Monte Carlo prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit Monte Carlo prediction of $M_{\mathrm T}^{b,min}$ in SRt2. The last bin includes overflows. The bottom panel shows the ratio of the data over the Monte Carlo prediction. The band includes all systematic uncertainties.

Comparison of the data with the post-fit Monte Carlo prediction of $\Delta \phi_{boost}$ in SRt3. The last bin includes overflows. The bottom panel shows the ratio of the data over the Monte Carlo prediction. The band includes all systematic uncertainties.

Acceptance of the SRb1 selection of the $b$-FDM model signal samples

Efficiency of the SRb1 selection of the $b$-FDM model signal samples

Acceptance of the SRb2 selection of the colour-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with bottom-quark pairs.

Efficiency of the SRb2 selection to the colour-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with bottom-quark pairs

Efficiency of the SRb2 selection to the colour-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with bottom-quark pairs

Acceptance of SRb2 selection to the colour-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with bottom-quark pairs

Acceptance of the SRt2 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Acceptance of the SRt1 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt2 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt1 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Acceptance of the SRt2 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Acceptance of the SRt1 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt2 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt1 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Acceptance of the SRt3 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt3 selections to the color-neutral simplified model samples with scalar mediator decaying into dark matter pairs produced in association with top quarks.

Acceptance of the SRt3 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Efficiency of the SRt3 selections to the color-neutral simplified model samples with pseudo-scalar mediator decaying into dark matter pairs produced in association with top quarks.

Number of signal events selected at different stages of the SRb1 selections for the $b$-FDM benchmark model $m(\phi_b,\chi)=(1000,35)$GeV

Number of signal events selected at different stages of the SRb2 selections for the $b\bar{b} +\phi$ benchmark model $m(\phi,\chi)=(20,1)$GeV, $g=1$.

Number of signal events selected at different stages of the SRt1 selections for the $t \bar{t} +\phi$ benchmark model $m(\phi,\chi)=(20,1)$GeV, $g=1$.

Number of signal events selected at different stages of the SRt2 selections for the $t \bar{t} +\phi$ benchmark model $m(\phi,\chi)=(20,1)$GeV, $g=1$.

Number of signal events selected at different stages of the SRt1 selections for the $t \bar{t} +a$ benchmark model $m(a,\chi)=(20,1)$GeV, $g=1$.

Number of signal events selected at different stages of the SRt2 selections for the $t \bar{t} +a$ benchmark model $m(\phi,\chi)=(20,1)$GeV, $g=1$.

Number of signal events selected at different stages of the SRt3 selections for the $t \bar{t} +\phi$ benchmark model $m(\phi,\chi)=(20,1)$GeV, $g=1$.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 1MSVx strategy.

Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=250$ GeV for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 1MSVx strategy.

Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 2MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 1MSVx strategy.

Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=100$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=400$ GeV scalar benchmark sample for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of pair transverse momentum for 0.7 < $m_{\rm ee}$ < 1.03 GeV/$c^{2}$.

Ratio of dielectron spectra in HM and INEL events scaled by the charged-particle multiplicity as a function of invariant mass for $p_{\rm T,ee}$ < 6.0 GeV/$c$.

Ratio of dielectron spectra in HM and INEL events scaled by the charged-particle multiplicity as a function of invariant mass for $p_{\rm T,ee}$ < 1.0 GeV/$c$.

Ratio of dielectron spectra in HM and INEL events scaled by the charged-particle multiplicity as a function of invariant mass for 1.0 < $p_{\rm T,ee}$ < 2.0 GeV/$c$.

Ratio of dielectron spectra in HM and INEL events scaled by the charged-particle multiplicity as a function of invariant mass for 2.0 < $p_{\rm T,ee}$ < 3.0 GeV/$c$.

Ratio of dielectron spectra in HM and INEL events scaled by the charged-particle multiplicity as a function of invariant mass for 3.0 < $p_{\rm T,ee}$ < 6.0 GeV/$c$.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of pair transverse momentum for 1.03 < $m_{\rm ee}$ < 2.86 GeV/$c^{2}$.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of invariant mass for $p_{\rm T,ee}$ < 1.0 GeV/$c$.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of invariant mass for 1.0 < $p_{\rm T,ee}$ < 2.0 GeV/$c$.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of invariant mass for 2.0 < $p_{\rm T,ee}$ < 3.0 GeV/$c$.

The dielectron cross section in inelastic pp collisions at $\sqrt{s}$ = 13 TeV as a function of invariant mass for 3.0 < $p_{\rm T,ee}$ < 6.0 GeV/$c$.

Ratio of direct to inclusive photon cross sections extracted from the dielectron spectra in inelastic pp collisions at $\sqrt{s}$ = 13 TeV.

Ratio of direct to inclusive photon cross sections extracted from the dielectron spectra in high-multiplicity pp collisions at $\sqrt{s}$ = 13 TeV.

Post-fit distributions of a background-only fit to the SR and the CRs of the NN output in the SR for the $tc\gamma$ left-handed coupling. In addition, the expected signal is overlaid for an effective coupling strength corresponding to the observed limit multiplied by a factor of ten.

Post-fit distributions of a background-only fit to the SR and the CRs of the NN output in the SR for the $tc\gamma$ right-handed coupling. In addition, the expected signal is overlaid for an effective coupling strength corresponding to the observed limit multiplied by a factor of ten.

The best-fit expected and observed distributions of the combined NN output in the VRSS for the $e\tau$ channel for events with 3-prong $\tau_\text{had-vis}$ candidates. The last bin in each plot includes overflow events.

The best-fit expected and observed distributions of the combined NN output in the SR for the $e\tau$ channel for events with 1-prong $\tau_\text{had-vis}$ candidates. The last bin in each plot includes overflow events.

The best-fit expected and observed distributions of the combined NN output in the SR for the $e\tau$ channel for events with 3-prong $\tau_\text{had-vis}$ candidates. The last bin in each plot includes overflow events.

The best-fit expected and observed distributions of the combined NN output in the SR for the $\mu\tau$ channel for events with 1-prong $\tau_\text{had-vis}$ candidates. The last bin in each plot includes overflow events.

The best-fit expected and observed distributions of the combined NN output in the SR for the $\mu\tau$ channel for events with 3-prong $\tau_\text{had-vis}$ candidates. The last bin in each plot includes overflow events.

Observed and expected upper limits on $\mathcal{B}(Z\rightarrow\ell\tau)$ at 95% confidence level.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal acceptance (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA350 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRA550 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L-SRC signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino, for the b0L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA300-2j signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA450 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA600 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRA750 signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L-SRB signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

Signal efficiency (in %) in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino, for the b1L- best expected signal region.

b1L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b1L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

combined signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

combined signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the asymmetric decay of the sbottom into bottom quark and neutralino or top quark and chargino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino.

b0L signal region with best expected exclusion limit in the ( M(SBOTTOM), M(NEUTRALINO) ) mass plane for the symmetric decay of the sbottom into bottom quark and neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA350 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA350 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRA550 for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRB for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b0L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for b0L-SRC for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Observed exclusion limit for best b0L SR for sbottom pair production with symmetric decay into a bottom quark and a neutralino.

Expected exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b0L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA300-2j for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA450 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA600 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRA750 for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for b1L-SRB for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best b1L SR for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-LowMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for A-HighMass combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for B combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Expected exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

Observed exclusion limit for best combination for sbottom pair production with asymmetric decay into a bottom quark and a neutralino or a top quark and a chargino.

$m_{\mathrm{CT}}$ distribution in b0L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$m_{\mathrm{CT}}$ distribution in b0L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{min[m_{T}(jet_{1-4}, E_{T}^{miss})]}$ distribution in b0L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{min[m_{T}(jet_{1-4}, E_{T}^{miss})]}$ distribution in b0L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

${\cal A}$ distribution in b0L-SRC. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

${\cal A}$ distribution in b0L-SRC. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{bb}}$ distribution in b1L-SRA300-2j. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{bb}}$ distribution in b1L-SRA300-2j. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{eff}}$ distribution in b1L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{eff}}$ distribution in b1L-SRA. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{T}}$ distribution in b1L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

$\mathrm{m_{T}}$ distribution in b1L-SRB. All selection criteria are applied, except the selection on the variable that is displayed in the plot. The SM backgrounds are normalized to the values determined in the fit. The last bin includes overflows.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA550 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRA550 as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRC as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for b0L-SRC as a function of the sbottom and neutralino masses, for a pair produced sbottom with symmetric decay into a bottom and a neutralino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b0L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA350 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b0L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b1L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best b1L SR as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA300-2j as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA300-2j as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA450 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA600 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA600 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA750 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRA750 as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for b1L-SRB as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for best combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-LowMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-LowMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-HighMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for A-HighMass combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for B combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cross section excluded at 95% CL for B combination as a function of the sbottom and neutralino masses, for a pair produced sbottom with asymmetric decay into a bottom and a neutralino or a top and a chargino.

Cutflow table in b0L-SRA for a pair produced bottom squark of 1 TeV decaying into a 1 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 1 TeV decaying into a 1 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRB for a pair produced bottom squark of 700 GeV decaying into a 450 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRB for a pair produced bottom squark of 700 GeV decaying into a 450 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRC for a pair produced bottom squark of 450 GeV decaying into a 430 GeV neutralino in a symmetric decay scenario.

Cutflow table in b0L-SRC for a pair produced bottom squark of 450 GeV decaying into a 430 GeV neutralino in a symmetric decay scenario.

Cutflow table in b1L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA300-2j for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b1L-SRA300-2j for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.

Cutflow table in b0L-SRA for a pair produced bottom squark of 700 GeV decaying into a 300 GeV neutralino in a mixed decay scenario.