Ratio of the Z'NU to Z'SSM acceptance times efficiency (ACC*EFF) in the lep-had channel as a function of sin^2phi and the Z' mass.

Z' SSM acceptance (ACC) and product of acceptance and efficiency (ACC*EFF) for the had-had and lep-had selections as a function of the Z' mass.

Number of expected Z'SSM signal (NS), background (NB) and observed (N) events passing the total transverse mass ($m_{\rm T}^{\rm tot}$) threshold in the had-had and lep-had channels.

Median expected and observed 95% CL upper limits on the cross-section times branching fraction to tau+tau- for Z'SSM production for the exclusive had-had and lep-had channels, and for both channels combined.

Observed 95% CL upper limits on the cross-section times branching fraction to tau+tau- for Z'L and Z'R production for the combination of the had-had and lep-had channels.

Observed 95% CL lower limit on the Z'NU mass as a function of sin^2(phi).

Measured jet multiplicity distribution in the $W\mu\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured dilepton invariant mass distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured $E_{T}^{miss}$ distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured leading jet $p_{T}$ distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured jet multiplicity distribution in the $Z\mu\mu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows. P P --> Z0 JET(S) X.

Measured transverse mass distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured $E_{T}^{miss}$ distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured leading jet $p_{T}$ distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured jet multiplicity distribution in the $We\nu$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured dilepton invariant mass distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured $E_{T}^{miss}$ distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured leading jet $p_{T}$ distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured jet multiplicity distribution in the $Zee$+jets control region for the inclusive SR1 selection, compared to the background expectations. The latter include the global normalization factors extracted from the data. Where appropriate, the last bin of the distribution includes overflows.

Measured distribution of the jet multiplicity for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of $E_{T}^{miss}$ for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of leading jet $p_{T}$ for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_{T}$ to $E_{T}^{miss}$ ratio for the SR1 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the jet multiplicity for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the jet multiplicity for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ for SR9 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ to $E_{T}^{miss}$ ratio for SR7 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Measured distribution of the leading jet $p_T$ to $E_{T}^{miss}$ ratio for SR9 selection compared to the SM expectations. The $Z\nu\nu$+jets contribution is shown as constrained by the $W\mu\nu$+jets control sample. Where appropriate, the last bin of the distribution includes overflows. The distribution of different ADD, WIMP and GMSB scenarios are included.

Observed and expected 95$\%$ CL limit on the fundamental Planck scale in $4+n$ dimensions, $M_D$, as a function of the number of extra dimensions. In the figure the two results overlap. The shaded areas around the expected limit indicate the expected $\pm 1\sigma$ and $\pm 2\sigma$ ranges of limits in the absence of a signal. The 95$\%$ CL observed limits after the suppression of the events with $\hat{s} > M_D^2$ is applied (truncated) are also given.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the scalar operator D1. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the vector operator D5. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the axial vector operator D8. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the tensor operator D9. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the gluon operator D11. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the gluon operator C5. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

Observed 95% CL limits on the suppression scale M* as a function of the mediator mass Mmed, assuming a Z'-like boson in a simplified model and a DM mass of 50 GeV and 400 GeV. The width of the mediator is varied between Mmed/3 and Mmed/8pi.

Observed 95% CL upper limits on the product of couplings of the simplified model vertex in the plane of mediator and WIMP mass (Mmed versus m_chi).

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-independent interactions, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-dependent interactions, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 90% C.L. on the WIMP-nucleon annihilation cross section as a function of m_chi, for a coupling strength of unity or the maximum value that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for degenerate squark/gluino masses.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 1/2 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 1/4 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 2 \times m_{\tilde{q}}$.

95$\%$ CL lower limits on the gravitino mass $m_{\tilde{G}}$ as a function of the squark mass $m_{\tilde{q}}$ for non-degenerate squark/gluino masses: $ m_{\tilde{g}} = 4 \times m_{\tilde{q}}$.

Observed and expected 95$\%$ CL upper limit on $\sigma \times {\rm{BR}}(H \to {\rm{invisible}})$ as a function of the Higgs boson mass.

Limits at 95% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the scalar operator C1. Results where EFT truncation is applied are also shown for couplings of 1 and the perturbative limit.

95% C.L. observed exclusion contour for all regions combined.

Best expected signal region for signal points.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>150$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>150 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>150 $ GeV region.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>200$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>200 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>200 $ GeV region.

95% CLs observed upper limit on model cross-section for signal points in the signal region with $m_{CT}>250$ GeV.

95% C.L. expected exclusion contour for the $m_{CT}>250 $ GeV region.

95% C.L. observed exclusion contour for the $m_{CT}>250 $ GeV region.

95% CLs upper limit on model cross-section for signal points in C1.

95% CLs upper limit on model cross-section for signal points in C2.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>150$ GeV.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>200$ GeV.

Acceptance times Efficiency for signal points in the signal region with $m_{CT}>250$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>150$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>200$ GeV.

Acceptance (flavour-blind) for signal points in the signal region with $m_{CT}>250$ GeV.

Signal cross-sections and uncertainties.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the lower of the two masses ($m$) in the two-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-loose-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-candidate signal region.

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for the MS-agnostic 500 GeV sbottom and $m_{\beta\gamma}$ R-Hadron search (SR-RH-MA).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for the MS-agnostic 500 GeV stop R-Hadron search (SR-RH-MA).

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 10$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 20$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 30$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 40$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 50$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Observed 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Expected 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Cross-section upper limits as a function of the $\tilde{\tau}_1$ mass for direct $\tilde{\tau}_1$ production and three values of $\tan\beta$. Expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties observed limits for three values of $\tan\beta$ and theoretical cross-section prediction for $\tan\beta=10$ with $\pm 1\sigma$ band.

Cross-section upper limits as a function of the $\tilde{\chi}_1$ mass for $\tilde{\tau}_1$ sleptons resulting from the decay of directly produced charginos and neutralinos in GMSB. Observed limits, expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties and theoretical cross-section prediction (dominated by $\tilde{\chi}^0_1 \tilde{\chi}^+_1$ production) with $\pm 1\sigma$ uncertainty. Depending on the hypothesis and to a small extent on $\tan\beta$, in these models, the chargino mass is 210 to 260 GeV higher than the neutralino mass.

Observed 95% CL exclusion contour for the LeptoSUSY model.

Expected 95% CL exclusion contour for the LeptoSUSY model.

Cross-section upper limits for various chargino masses in stable-chargino models. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Summary of systematic uncertainties for the slepton searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Summary of systematic uncertainties for the chargino and R-Hadron searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the two signal regions used in the GMSB slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the LeptoSUSY slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the chargino search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the R-Hadron searches. Cross-section upper limits are stated at 95% CL.

Mass of the $\tilde{\tau}_1$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the GMSB slepton search.

Mass of the $\tilde{\tau}_1$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the directly produced $\tilde{\tau}_1$ search.

Masses of the $\tilde{g}$ and $\tilde{q}$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the LeptoSUSY search.

Slepton search candidate requirements and example candidate selection flow for loose and tight selections.

Mass of the $\tilde{\chi}^{\pm}_{1}$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the three signal regions used in the chargino search.

Chargino search candidate requirements and example candidate selection flow for the total production as well as chargino-neutralino (CN) and chargino-pair (CC) production separately.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron MS-agnostic (SR-RH-MA) search.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron full-detector (SR-RH-FD) search. In cases where two numbers are stated, these reflect the values in the ID+calorimeter and combined selection, respectively, used in this search.

Muon-agnostic search R-Hadron candidate requirements and example candidate selection flow for ID+calorimeter selection.

Full-detector search R-Hadron candidate requirements and example candidate selection flow for combined selection.

Distribution of ETmiss in the signal region for data and for the background predicted from the fit in the CRs. Overflows are included in the final bin.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the vector operator D5. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the axial-vector operator D8. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Limits at 90% C.L. on the EFT suppression scale M* as a function of the WIMP mass m_chi, for the tensor operator D9. Results where EFT truncation is applied are also shown, assuming coupling values sqrt(g_f g_chi)= 1, 4pi.

Upper limits at 90% C.L. on the WIMP-nucleon scattering cross section as a function of m_chi for spin-independent and spin-dependent interactions, for a coupling strength g = sqrt(g_f g_chi) of unity or the maximum value (4 pi) that keeps the model within its perturbative regime. The truncation procedure is applied for both cases.

Upper limits at 95% C.L. on the WIMP simplified model coupling parameter, sqrt(g_f g_chi), with vector coupling and mediator width Gamma=m_V/3, as a function of WIMP (m_chi) and the mediator particle (m_V) masses.

Observed lower limits at 95% C.L. on the EFT suppression scale M* as a function of the mediator mass mV, for a Z'-like mediator with vector interactions. For a dark-matter mass m_chi of 50 or 400 GeV, results are shown for different values of the mediator total decay width Gamma.

Observed lower limits at 95% C.L. on the EFT suppression scale M* as a function of the mediator mass mV, for a Z'-like mediator with axial-vector interactions. For a dark-matter mass m_chi of 50 or 400 GeV, results are shown for different values of the mediator total decay width Gamma.

Limits at 95% C.L. on the effective mass scale M* in the (k2, k1) parameter plane for the s-channel EFT model inspired by Fermi-LAT gamma-ray line, for m_chi = 130 GeV. The upper part of the plane is excluded.

Lower limits at 95% C.L. on the mass scale M_D in the ADD models of large extra dimensions, for several values of the number of extra dimensions.

Upper limits at 95% C.L. on the cross section for the compressed squark model, as a function of the squark mass, m_squark, and of the difference between the squark mass and the mass of the neutralino, m_squark-m_neutralino, in the compressed region of m_squark-m_neutralino < 50 GeV.

Spectrum of ETmiss for the muon channel after the event selection. The spectrum is shown with the requirement MT > 252 GeV.

Spectrum of MT for the electron channel after the event selection.

Spectrum of MT for the muon channel after the event selection.

Observed and expected limits on SIGMA*B for WPRIME at 95% CL in the electron channel.

Observed and expected limits on SIGMA*B for W* at 95% CL in the electron channel.

Observed and expected limits on SIGMA*B for WPRIME at 95% CL in the muon channel.

Observed and expected limits on SIGMA*B for W* at 95% CL in the muon channel.

Observed and expected limits on SIGMA*B for WPRIME at 95% CL for the combination of the electron and muon channels.

Observed and expected limits on SIGMA*B for W* at 95% CL for the combination of the electron and muon channels.

Observed limits on M* as a function of the DM particle mass M(chi) at 90% CL for the combination of the electron and muon channel for various operators in the EFT.

Observed limits on the DM-nucleon scattering cross-section as a function of M(chi) at 90% CL for various operators in the EFT.

Observed limits on M* as a function of the DM particle mass M(chi) at 90% CL in the electron for various operators in the EFT.

Observed limits on M* as a function of the DM particle mass M(chi) at 90% CL in the muon for various operators in the EFT.

Observed limits on M* as a function of the DM particle mass M(chi) at 95% CL in the electron for various operators in the EFT.

Observed limits on M* as a function of the DM particle mass M(chi) at 95% CL in the muon for various operators in the EFT.

Observed limits on M* as a function of the DM particle mass M(chi) at 95% CL for the combination of the electron and muon channel for various operators in the EFT.

Reconstructed $\cos\theta^*$ distributions for data and the SM background estimate in the dimuon channel.

Reconstructed $A_{\rm FB}$ distributions for data and the SM background estimate as a function of dielectron mass.

Reconstructed $A_{\rm FB}$ distributions for data and the SM background estimate as a function of dimuon mass.

Summary of 95% C.L. lower exclusion limits on $\Lambda$ for the combined dilepton contact interaction search, using a uniform positive prior in 1/$\Lambda^2$.

Summary of 95% C.L. lower exclusion limits on $M_{\rm S}$ for the combined dilepton ADD large extra dimensions search, using a uniform positive prior in 1/$M_{\rm S}^8$.

Reconstructed $\cos\theta^*$ distributions for data and the SM background estimate in the electron channel.

Reconstructed $\cos\theta^*$ distributions for data and the SM background estimate in the muon channel.

Effective mass distribution in the multi-jet CR DS-lowMass.

Distribution of Met in the W+jets control region with 20.3/fb.

Distribution of Meff in the W+jets control region with 20.3/fb.

Distribution of Mt2 in the W+jets control region with 20.3/fb.

Distribution of Mt(tau1)+Mt(tau2) in the W+jets control region with 20.3/fb.

Distribution of Meff in the W+jets control region with 20.3/fb.

Distribution of Meff in the Z+jets control region with 20.3/fb.

The stransverse mass distribution in the WW-C1N2 validation region.

Mt(tau1)+Mt(tau2) distribution in Top-VR.

The stransverse mass distribution in SR-C1N2.

Mt(tau1)+Mt(tau2) distribution in SR-C1C1.

Effective mass distribution in SRDS-highMass.

Effective mass distribution in SRDS-lowMass.

Expected 95% CL exclusion limits for simplified models with a combination of chargino-neutralino and chargino-chargino production.

Observed 95% CL exclusion limits for simplified models with a combination of chargino-neutralino and chargino-chargino production.

Expected 95% CL exclusion limits for simplified models with chargino-chargino production.

Observed 95% CL exclusion limits for simplified models with chargino-chargino production.

Upper limits on the cross section for production of only right-handed stau pairs.

Upper limits on the cross section for production of only left-handed stau pairs.

Upper limits on the signal strength for the associated production of right-handed and left-handed stau pairs.

Expected 95% CL exclusion limits for the pMSSM models with fixed stau mass, M1=50 GeV.

Observed 95% CL exclusion limits for the pMSSM models with fixed stau mass, M1=50 GeV.

Expected 95% CL exclusion limits for the pMSSM models with variable stau mass, M1=75 GeV.

Observed 95% CL exclusion limits for the pMSSM models with variable stau mass, M1=75 GeV.

Numbers give 95% CL excluded model cross sections for the simplified models with chargino-chargino production.

Numbers give 95% CL excluded model cross sections for the simplified models with chargino-neutralino production.

SR with best expected p0-value for each point for the simplified models with chargino-neutralino and chargino-chargino production. SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for the simplified models with chargino-chargino production. SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for direct stau pair production. SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for direct stau pair production (left-handed). SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for direct stau pair production (right-handed). SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for the pMSSM models with fixed stau mass, M1=50 GeV. SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

SR with best expected p0-value for each point for the pMSSM models with variable stau mass, M1=75 GeV. SR-C1N2 (SR-C1C1) is indicated with 1 (2) and SR-DS-highMass (SR-DS-lowMass) is indicated with 3 (4).

Cutflows for the three SUSY reference points. The event yields have been normalised to 20.3/fb.

Cutflows for data and the SM backgrounds estimated from MC.

Detailed information for the three SUSY benchmark grid points (from left to right): the reference point(1: (chargino1(neutralino2),neutralino1)=(250,100)GeV, 2: (chargino1,neutralino1)=(250,50) GeV, 3: (stauR (stauL), neutralino1)=(127(129),0) GeV), production process(1:chargino1-neutralino2, 2:chargino1-chargino1, 3:stauL-stauL, 4:stauR-stauR), cross section, number of generated MC events, considered signal region(1:C1N2, 2:C1C1, 3:DS-highMass,4:DS-lowMass), event yield after normalization to 20.3 fb-1, acceptance (Acc.), efficiency (Eff.) on the signal selection, absolute systematic uncertainty on signal yields, 95% CL observed and expected limits on the number of events.

Number of generated events for the simplified models with chargino-neutralino production.

Number of generated events for the simplified models with chargino-chargino production.

Number of generated events for direct left-handed stau pair production.

Number of generated events for direct right-handed stau pair production.

Production cross section for the simplified models with chargino-neutralino production.

Production cross section for the simplified models with chargino-chargino production.

Production cross section for direct left-handed stau pair production.

Production cross section for direct right-handed stau pair production.

Acceptance for the simplified models with chargino-neutralino production.

Acceptance for the simplified models with chargino-chargino production.

Acceptance for direct left-handed stau pair production.

Acceptance for direct right-handed stau pair production.

Efficiency for the simplified models with chargino-neutralino production.

Efficiency for the simplified models with chargino-chargino production.

Efficiency for direct stau (the left-handed) pair production.

Efficiency for direct stau (the right-handed) pair production.

Experimental systematics (in percentage) for the simplified models with chargino-neutralino production.

Experimental systematics (in percentage) for the simplified models with chargino-chargino production.

Experimental systematics (in percentage) for direct stau (the left-handed) pair production.

Experimental systematics (in percentage) for direct stau (the right-handed) pair production.

Observed CLs for the simplified models with chargino-neutralino production.

Observed CLs for the simplified models with chargino-chargino production.

Observed CLs for direct stau (the left-handed) pair production.

Observed CLs for direct stau (the right-handed) pair production.

Expected CLs for the simplified models with chargino-neutralino production.

Expected CLs for the simplified models with chargino-chargino production.

Expected CLs for direct stau (the left-handed) pair production.

Expected CLs for direct stau (the right-handed) pair production.

The effective mass distribution in 3-jet signal region.

The effective mass distribution in 4-jet (W) signal region.

The effective mass distribution in 4-jet very-loose and loose signal regions.

The effective mass distribution in 4-jet medium signal region.

The effective mass distribution in 4-jet tight signal region.

The effective mass distribution in 5-jet signal region.

The effective mass distribution in 6-jet loose and medium signal regions.

The effective mass distribution in 6-jet tight signal region.

The effective mass distribution in 6-jet very-tight signal region.

Observed limit 95% CL.

Expected limit 95% CL.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Expected limit 95% CL -1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Expected limit 95% CL -1 sigma.

Observed limit 95% CL (m_chi^0_1=0GeV).

Expected limit 95% CL (m_chi^0_1=0GeV).

Observed limit 95% CL +1 sigma (m_chi^0_1=0GeV).

Observed limit 95% CL -1 sigma (m_chi^0_1=0GeV).

Expected limit 95% CL +1 sigma (m_chi^0_1=0GeV).

Expected limit 95% CL -1 sigma (m_chi^0_1=0GeV).

Observed limit 95% CL (m_chi^0_1=395GeV).

Expected limit 95% CL (m_chi^0_1=395GeV).

Observed limit 95% CL (m_chi^0_1=695GeV).

Expected limit 95% CL (m_chi^0_1=695GeV).

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

First of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Second of two expected CLs contours with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with plus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Observed CLs contour with minus 1-sigma signal cross-section uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with plus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected CLs contour with minus 1-sigma experimental uncertainty for the pair-produced squarks each decaying via an intermediate chargino1 to a quark, a W boson and a neutralino1.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL.

Expected limit 95% CL -1 sigma.

Expected limit 95% CL +1 sigma.

Observed limit 95% CL -1 sigma.

Observed limit 95% CL +1 sigma.

Observed limit 95% CL.

Signal region for points.

Signal region for points.

Signal region for points (m_chi^0_1=0GeV).

Signal region for points (m_chi^0_1=395GeV).

Signal region for points (m_chi^0_1=695GeV).

Observed 95% CL cross-section upper limit for pair-produced gluinos decaying directly.

Observed 95% CL cross-section upper limit for associated gluino-squark production.

Observed 95% CL cross-section upper limit for pair-produced squarks decaying directly.

Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced gluinos each decaying via an intermediate chargino1 to two quarks, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.

Observed 95% CL cross-section upper limit for the pair-produced squarks each decaying via an intermediate chargino1 to quark, a W boson and a neutralino1.

Signal region for points.

Observed 95% CL cross-section upper limit for pair-produced gluinos decaying via stops into top+charm+neutralino1.

Production cross-section in PB.

Signal acceptance in PCT for SR2jl.

Signal acceptance times reconstruction efficiency in PCT for SR2jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.

Signal acceptance in PCT for SR2jm.

Signal acceptance times reconstruction efficiency in PCT for SR2jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.

Signal acceptance in PCT for SR2jt.

Signal acceptance times reconstruction efficiency in PCT for SR2jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.

Signal acceptance in PCT for SR2jW.

Signal acceptance times reconstruction efficiency in PCT for SR2jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.

Signal acceptance in PCT for SR3j.

Signal acceptance times reconstruction efficiency in PCT for SR3j.

Uncertainty on signal acceptance times reconstruction efficiency for SR3j.

Signal acceptance in PCT for SR4jW.

Signal acceptance times reconstruction efficiency in PCT for SR4jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.

Signal acceptance in PCT for SR4jl-.

Signal acceptance times reconstruction efficiency in PCT for SR4jl-.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.

Signal acceptance in PCT for SR4jl.

Signal acceptance times reconstruction efficiency in PCT for SR4jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.

Signal acceptance in PCT for SR4jm.

Signal acceptance times reconstruction efficiency in PCT for SR4jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.

Signal acceptance in PCT for SR4jt.

Signal acceptance times reconstruction efficiency in PCT for SR4jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.

Signal acceptance in PCT for SR5j.

Signal acceptance times reconstruction efficiency in PCT for SR5j.

Uncertainty on signal acceptance times reconstruction efficiency for SR5j.

Signal acceptance in PCT for SR6jl.

Signal acceptance times reconstruction efficiency in PCT for SR6jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.

Signal acceptance in PCT for SR6jm.

Signal acceptance times reconstruction efficiency in PCT for SR6jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.

Signal acceptance in PCT for SR6jt.

Signal acceptance times reconstruction efficiency in PCT for SR6jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.

Signal acceptance in PCT for SR6jt+.

Signal acceptance times reconstruction efficiency in PCT for SR6jt+.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.

Production cross-section in PB.

Signal acceptance in PCT for SR2jl.

Signal acceptance times reconstruction efficiency in PCT for SR2jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jl.

Signal acceptance in PCT for SR2jm.

Signal acceptance times reconstruction efficiency in PCT for SR2jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jm.

Signal acceptance in PCT for SR2jt.

Signal acceptance times reconstruction efficiency in PCT for SR2jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jt.

Signal acceptance in PCT for SR2jW.

Signal acceptance times reconstruction efficiency in PCT for SR2jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR2jW.

Signal acceptance in PCT for SR3j.

Signal acceptance times reconstruction efficiency in PCT for SR3j.

Uncertainty on signal acceptance times reconstruction efficiency for SR3j.

Signal acceptance in PCT for SR4jW.

Signal acceptance times reconstruction efficiency in PCT for SR4jW.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jW.

Signal acceptance in PCT for SR4jl-.

Signal acceptance times reconstruction efficiency in PCT for SR4jl-.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl-.

Signal acceptance in PCT for SR4jl.

Signal acceptance times reconstruction efficiency in PCT for SR4jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jl.

Signal acceptance in PCT for SR4jm.

Signal acceptance times reconstruction efficiency in PCT for SR4jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jm.

Signal acceptance in PCT for SR4jt.

Signal acceptance times reconstruction efficiency in PCT for SR4jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR4jt.

Signal acceptance in PCT for SR5j.

Signal acceptance times reconstruction efficiency in PCT for SR5j.

Uncertainty on signal acceptance times reconstruction efficiency for SR5j.

Signal acceptance in PCT for SR6jl.

Signal acceptance times reconstruction efficiency in PCT for SR6jl.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jl.

Signal acceptance in PCT for SR6jm.

Signal acceptance times reconstruction efficiency in PCT for SR6jm.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jm.

Signal acceptance in PCT for SR6jt.

Signal acceptance times reconstruction efficiency in PCT for SR6jt.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt.

Signal acceptance in PCT for SR6jt+.

Signal acceptance times reconstruction efficiency in PCT for SR6jt+.

Uncertainty on signal acceptance times reconstruction efficiency for SR6jt+.

The effective mass distribution in VR2Z.

The ETmiss distribution in SR0noZa.

The effective mass distribution in SR0noZa.

The ETmiss distribution in SR1noZa.

The effective mass distribution in SR1noZa.

The ETmiss distribution in SR2noZa.

The effective mass distribution in SR2noZa.

The ETmiss distribution in SR0noZb.

The effective mass distribution in SR0noZb.

The ETmiss distribution in SR1noZb.

The effective mass distribution in SR1noZb.

The ETmiss distribution in SR2noZb.

The effective mass distribution in SR2noZb.

The ETmiss distribution in SR0Z.

The effective mass distribution in SR0Z.

The ETmiss distribution in SR1Z.

The effective mass distribution in SR1Z.

The ETmiss distribution in SR2Z.

The effective mass distribution in SR2Z.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.

Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.

Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.

Observed 95% CL exclusion contour for the R-slepton RPC model.

Expected 95% CL exclusion contour for the R-slepton RPC model.

Observed and expected 95% CL cross-section upper limits for the Stau RPC model, together with the theoretically predicted cross-section.

Observed and expected 95% CL cross-section upper limits for the Z RPC model, together with the theoretically predicted cross-section.

Observed 95% CL exclusion contour for the GGM tan beta = 1.5 model.

Expected 95% CL exclusion contour for the GGM tan beta = 1.5 model.

Observed 95% CL exclusion contour for the GGM tan beta = 30 model.

Expected 95% CL exclusion contour for the GGM tan beta = 30 model.

Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_121 != 0 and lambda_122 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_133 != 0 and lambda_233 != 0, and the selection of Z-veto signal regions used to set limits in these models. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bba' means that the regions SR0noZb, SR1noZb and SR2noZa were used, in addition to the three Z-rich regions (SR0-2Z).

Observed 95% CL cross-section upper limit for the R-slepton RPC model, and the selection of Z-veto signal regions used to set limits in this model. The combination of regions used is ordered by the minimum number of hadronic taus required. For example, ``bbb' means that the regions SR0noZb, SR1noZb and SR2noZb were used, in addition to the three Z-rich regions (SR0-2Z). For the RPC stau and Z models, the ``aaa' combination of regions was used throughout.

Performance of the SR0noZa selection in the R-slepton RPC model: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR0noZb selection in the RPV chargino NLSP model with lambda_121 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR1noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR1noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR2noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR2noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Performance of the SR0Z selection in the GGM tan beta = 30 model: number of generated signal events; total signal cross-section; acceptance; efficiency; total experimental systematic uncertainty, not including Monte Carlo statistics; observed CL using this region alone; expected CL using this region alone.

Cut flows for a representative selection of SUSY signal points in the Z-veto signal regions. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise.

Cut flows for a representative selection of SUSY signal points in the Z-rich signal regions. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses (or the value of mu in the case of GGM models). The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0noZa signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The RPC R-slepton model is used, with (m2,m1) = (450,300) GeV.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR1noZb signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the larger of the two masses. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The RPV gluino NLSP model is used, with lambda_133 != 0 and (m2,m1) = (800,400) GeV.

Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0Z signal region. In each case, m2 and m1 refer to the axes of the plots in Sec. XI, where m2 is the value of mu. The number of events expected for a luminosity of 20.3 fb-1 is quoted at each step of the selection. The preselection requires four baseline leptons, at least two of which are light leptons; the signal lepton selection is made at the ``Lepton Multiplicity' stage. ``Event Cleaning' refers to the selection criteria applied to remove non-collision backgrounds and detector noise. The GGM tan beta = 30 model is used, with (m2,m1) = (200,1000) GeV.