Number of observed events per 5 GeV bin for the >=3Jet sample. Data read from plots.

The measured leading jet $p_T$ distribution in the $W \rightarrow \mu \nu$ control region, for the M1 selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the $W \rightarrow e \nu$ control region, for the M1 selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the $W \rightarrow e \nu$ control region, for the M1 selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the $Z \rightarrow \mu \mu$ control region, for the M1 selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the $Z \rightarrow \mu \mu$ control region, for the M1 selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the $W\rightarrow \mu \nu$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the $W\rightarrow \mu \nu$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the $W\rightarrow e \nu$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the $W\rightarrow e \nu$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the $Z\rightarrow ll$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the $Z\rightarrow ll$ control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in the t-(anti)-t control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured leading jet $p_T$ distribution in the t-(anti)-t control region, for the c-tagged selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

Measured leading jet $p_T$ distribution for the V3 selections compared to the SM predictions.

Measured $E_T^{miss}$ distribution for the V4 selections compared to the SM predictions.

Measured leading jet $p_T$ distribution for the V5 selections compared to the SM predictions.

Measured $E_T^{miss}$ distribution for the V5 selections compared to the SM predictions.

Measured $E_T^{miss}$ distribution for the M1 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured leading jet $p_T$ distribution for the M1 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured $E_T^{miss}$ distribution for the M2 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured leading jet $p_T$ distribution for the M2 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured $E_T^{miss}$ distribution for the M3 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured leading jet $p_T$ distribution for the M3 selection compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured $E_T^{miss}$ distribution for the C1 selection before the cut in the variable shown is applied. The data are compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured leading jet $p_T$ distribution for the C1 selection before the cut in the variable shown is applied. The data are compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured leading jet $p_T$ for the C2 selection. The data are compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

Measured jet multiplicity for the C2 selection. The data are compared to the SM predictions. For illustration purposes, the distribution of two different SUSY scenarios are included.

The measured $W$ transverse mass distribution in the $W \rightarrow \mu \nu$ control region for the M1 monojet-like selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $W$ transverse mass distribution in the $W \rightarrow e \nu$ control region for the M1 monojet-like selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured dimuon invariant mass distribution in the $Z \rightarrow \mu \mu$ control region for the M1 monojet-like selection, compared to the background predictions. The latter include the global normalization factors extracted from the fit.

The measured $E_T^{miss}$ distribution in a multijet control sample for the monojet-like analysis. This region is defined with similar $E_T^{miss}$ and leading jet $p_T$ cuts as M1, but releasing the jet-veto and inverting the $\Delta \phi (jet, p_T^{miss})$ cut, now requiring it to be less than 0.4. The data are compared to predictions.

Measured jet multiplicity in the $W \rightarrow e \nu$ control region for the c-tagged analysis, compared to background predictions. The latter include the global normalization factors extracted from the fit.

Measured jet multiplicity in the $W \rightarrow \mu \nu$ control region for the c-tagged analysis, compared to background predictions. The latter include the global normalization factors extracted from the fit.

Measured jet multiplicity in the $Z \rightarrow ll$ control region for the c-tagged analysis, compared to background predictions. The latter include the global normalization factors extracted from the fit.

Measured jet multiplicity in the t-(anti)-t control region for the c-tagged analysis, compared to background predictions. The latter include the global normalization factors extracted from the fit.

Measured dilepton invariant mass in the $Z \rightarrow ll$ control region for the c-tagged analysis. The predictions include the global normalization factors extracted from the fit.

Measured jet multiplicity distribution for the M1 selection compared to the SM predictions. For illustration purposes, the impact of two different SUSY scenarios are included.

Measured leading jet $\eta$ distribution for the M1 selection compared to the SM predictions. For illustration purposes, the impact of two different SUSY scenarios are included.

Measured $\Delta \phi (jet, p_T^{miss})$ distribution for the M1 selection compared to the SM predictions. For illustration purposes, the impact of two different SUSY scenarios are included.

Measured $E_T^{miss}$ distribution after preselection cuts compared to background predictions.

Measured jet multiplicity distribution in the C1 c-tagged selection compared to background predictions.

Multiplicity of jets with loose heavy-flavor tags in the C1 selection.

Multiplicity of jets with medium heavy-flavor tags in the C1 selection.

Expected and observed CLs, number of events, acceptance and efficiency for M1 SR for $\tilde{t}_1 \rightarrow c + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M2 SR for $\tilde{t}_1 \rightarrow c + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M3 SR for $\tilde{t}_1 \rightarrow c + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for C1 SR for $\tilde{t}_1 \rightarrow c + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for C2 SR for $\tilde{t}_1 \rightarrow c + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M1 SR for $\tilde{b}_1 \rightarrow b + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M2 SR for $\tilde{b}_1 \rightarrow b + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M3 SR for $\tilde{b}_1 \rightarrow b + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M1 SR for $\tilde{t}_1 \rightarrow b + ff' + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M2 SR for $\tilde{t}_1 \rightarrow b + ff' + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Expected and observed CLs, number of events, acceptance and efficiency for M3 SR for $\tilde{t}_1 \rightarrow b + ff' + \tilde{\chi}^0_1$. The expected event yield in 20.3 fb$^{-1}$, $N_{\text{events}}$, is used to calculate $\sigma\times A\times\varepsilon$ and $A\times\varepsilon$. The acceptance $A$ is defined as the percentage of events passing the selection at truth level, and the efficiency $\varepsilon$ is the ratio of events passing the selection at reconstructed level over the number of events passing the selection at truth level. The modified efficiency $\varepsilon\prime$ is the ratio of events passing the selection at truth and reconstructed level over the number of events passing the selection at truth level.

Distribution of mT2 for events passing all the signal candidate selection requirements, except that on mT2 of the L100 selection, for DF events.

Distribution of mT2 for events passing all the signal candidate selection requirements, except that on mT2 of the L110 selection, for SF events.

Distribution of mT2 for events passing all the signal candidate selection requirements, except that on mT2 of the L110 selection, for DF events.

Observed 95% CL exclusion contour in the (STOP1, CHARGINO1) mass plane for a fixed value of m(NEUTRALINO1) = 1 GeV.

Expected 95% CL exclusion contour in the (STOP1, CHARGINO1) mass plane for a fixed value of m(NEUTRALINO1) = 1 GeV.

Observed 95% CL exclusion minus 1 sigma contour in the (STOP1, CHARGINO1) mass plane for a fixed value of m(NEUTRALINO1) = 1 GeV.

Observed 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) - m(CHARGINO1) = 10 GeV.

Expected 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) - m(CHARGINO1) = 10 GeV.

Observed 95% CL exclusion minus 1 sigma contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) - m(CHARGINO1) = 10 GeV.

Observed 95% CL exclusion contour in the (CHARGINO1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) = 300 GeV.

Expected 95% CL exclusion contour in the (CHARGINO1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) = 300 GeV.

Observed 95% CL exclusion minus one sigma contour in the (CHARGINO1, NEUTRALINO1) mass plane for a fixed value of m(STOP1) = 300 GeV.

Observed 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane of m(CHARGINO1) = 2 m(NEUTRALINO1).

Expected 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane for m(CHARGINO1) = 2 m(NEUTRALINO1).

Observed 95% CL exclusion minus one sigma contour in the (STOP1, NEUTRALINO1) mass plane for m(CHARGINO1) = 2 m(NEUTRALINO1).

Observed 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane.

Expected 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane.

Observed 95% CL exclusion minus one sigma contour in the (STOP1, NEUTRALINO1) mass plane.

Observed 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane.

Expected 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane.

Observed 95% CL exclusion minus one sigma contour in the (STOP1, NEUTRALINO1) mass plane.

Observed 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(CHARGINO1) = 106 GeV.

Expected 95% CL exclusion contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(CHARGINO1) = 106 GeV.

Observed 95% CL exclusion minus one sigma contour in the (STOP1, NEUTRALINO1) mass plane for a fixed value of m(CHARGINO1) = 106 GeV.

Expected CLs values for Fig. 14.

Observed CLs values for Fig. 14.

Observed cross-section limits for Fig. 14.

Expected CLs values for Fig. 15.

Observed CLs values for Fig. 15.

Observed cross-section limits for Fig. 15.

Expected CLs values for Fig. 16.

Observed CLs values for Fig. 16.

Observed cross-section limits for Fig. 14.

Expected CLs values for Fig. 17.

Observed CLs values for Fig. 17.

Observed cross-section limits for Fig. 17.

Expected CLs values for Fig. 19.

Observed CLs values for Fig. 19.

Observed cross-section limits for Fig. 19.

Number of generated events for Fig. 16.

Acceptance of S1 for Fig. 16.

Efficiency of S1 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S1 for Fig. 16.

Acceptance of S2 for Fig. 16.

Efficiency of S2 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S2 for Fig. 16.

Acceptance of S3 for Fig. 16.

Efficiency of S3 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S3 for Fig. 16.

Acceptance of S4 for Fig. 16.

Efficiency of S4 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S4 for Fig. 16.

Acceptance of S5 for Fig. 16.

Efficiency of S5 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S5 for Fig. 16.

Acceptance of S6 for Fig. 16.

Efficiency of S6 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S6 for Fig. 16.

Acceptance of S7 for Fig. 16.

Efficiency of S7 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in S7 for Fig. 16.

Acceptance of H160 for Fig. 16.

Efficiency of H160 for Fig. 16.

Total systematic uncertainty IN PCT on signal yields in H160 for Fig. 16.

Observed cross-section limits for Fig. 20.

Observed cross-section limits for Fig. 20.

Expected cross-section limits for Fig. 20.

Total number of generated MC events for each point of the grid.

Observed upper limit on the signal cross-section, in pb, for each point of the grid in the different flavour channel.

Observed upper limit on the signal cross-section, in pb, for each point of the grid in the same flavour channel.

The best expected signal region chosen for each point of the grid in the different flavour channel.

The best expected signal region chosen for each point of the grid in the same flavour channel.

Observed CLs for each point of the grid in the different flavour channel.

Observed CLs for each point of the grid in the same flavour channel.

Expected CLs for each point of the grid in the different flavour channel.

Expected CLs for each point of the grid in the same flavour channel.

Signal acceptance for all the analysis cuts, except the BDTG cut, for each point of the grid in the different flavour channel.

Signal acceptance for all the analysis cuts, except the BDTG cut, for each point of the grid in the same flavour channel.

Signal efficiency, including the acceptance of the BDTG cut, for each point of the grid in the different flavour channel.

Signal efficiency, including the acceptance of the BDTG cut, for each point of the grid in the same flavour channel.

Total signal experimental systematic uncertainty for each point of the grid in the different flavour channel.

Signal efficiency, including the acceptance of the BDTG cut, for each point of the grid in the same flavour channel.

Number of simulated events passing various stages of the selection in the hadronic mT2 analysis for a signal sample with m(STOP1)=300 GeV, m(CHARGINO1) = 150 GeV and m(NEUTRALINO1) = 50 GeV, and with the top squark decaying as STOP1 --> CHARGINO1+ BOTTOM -> W(*)+NEUTRALINO1+ BOTTOM with unit probability. Event weights are applied to correct simulated events to data. "Isolation" includes the effects of tight ID for electrons and the isolation selection for both electrons and muons. "Cleaning cuts" refer to cuts applied to remove non-collision backgrounds and detector noise.

Number of simulated events passing various stages of the selection in the hadronic mT2 analysis for a signal sample with m(STOP1)=250 GeV, m(CHARGINO1) = 106 GeV and m(NEUTRALINO1) = 60 GeV, and with the top squark decaying as STOP1 --> CHARGINO1+ BOTTOM -> W(*)+NEUTRALINO1+ BOTTOM with unit probability. Event weights are applied to correct simulated events to data. "Isolation" includes the effects of tight ID for electrons and the isolation selection for both electrons and muons. "Cleaning cuts" refer to cuts applied to remove non-collision backgrounds and detector noise.

Number of simulated events passing various stages of the selection in the leptonic mT2 analysis for two signal samples with the top squark decaying as STOP1 --> CHARGINO1+ BOTTOM -> W(*)+NEUTRALINO1+BOTTOM with unit probability. Event weights are applied to correct simulated events to data. "Isolation" includes the effects of tight ID for electrons and the isolation selection for both electrons and muons. "Cleaning cuts" refer to cuts applied to remove non-collision backgrounds and detector noise.

Number of simulated events passing various stages of the selection in the leptonic mT2 analysis for a signal sample with m(STOP1)=180 GeV and m(NEUTRALINO1) = 60 GeV, and with the top squark decaying as STOP1 --> W + BOTTOM + NEUTRALINO1 with unit probability. Event weights are applied to correct simulated events to data. "Isolation" includes the effects of tight ID for electrons and the isolation selection for both electrons and muons. "Cleaning cuts" refer to cuts applied to remove non-collision backgrounds and detector noise.

Number of simulated events passing various stages of the selection in the in the MVA analysis for all signal samples used to train the BDTG and with the top squark decaying as STOP1 --> TOP + NEUTRALINO1 with unit probability. Event weights are applied to correct simulated events to data. "Isolation" includes the effects of tight ID for electrons and the isolation selection for both electrons and muons. "Cleaning cuts" refer to cuts applied to remove non-collision backgrounds and detector noise. The index i in category (Ci) is the one reported in table 3 for each signal point, SF and DF.

Etmiss distribution for SRC1 after all selection requirements except those on Etmiss.

Etmiss distribution for SRC2 after all selection requirements except those on Etmiss.

Etmiss distribution for SRC3 after all selection requirements except those on Etmiss.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=100%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=100%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Observed exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Expected exclusion limit at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Nominal observed excluded cross sections at 95% CL in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario, once corrected by the recorded luminosity and the efficiency times acceptance of the model itself.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=75%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=50%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=25%.

Signal region (SR) combination providing the lowest expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where BR(stop --> top+neutralino)=0%.

Signal acceptance for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to top+neutralino. The acceptance is defined in Appendix A of arXiv:1403.4853.

Signal efficiency for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to top+neutralino.

Signal acceptance for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to b+chargino. The acceptance is defined in Appendix A of arXiv:1403.4853.

Signal efficiency for the different signal regions (SR) in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario with both stops decaying to b+chargino.

Number of generated Monte Carlo events in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino.

Number of generated Monte Carlo events in the ( M(STOP), M(NEUTRALINO) ) mass plane in the stop pair production scenario where both stops decay to b+chargino.

Stop signal production cross sections in the ( M(STOP), M(NEUTRALINO) ) mass plane.

Total experimental systematic uncertainty in percent on the signal yield for SRA1 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA2 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA3 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRA4 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRB in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC1 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC2 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Total experimental systematic uncertainty in percent on the signal yield for SRC3 in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario where both stops decay to top+neutralino. The uncertainty does not include Monte Carlo statistical uncertainties, nor theoretical uncertainties on the signal cross section.

Observed and expected CLs in the ( M(STOP), M(NEUTRALINO) ) mass plane for the stop pair production scenario. The value for the best expected signal region combination is shown.

Selection efficiency x Acceptance for a spin-0 resonance.

Reconstructed m_tt spectrum for the boosted selections.

Reconstructed m_tt spectrum for the resolved selections.

Reconstructed m_tt spectrum for the all the selections.

Limits on the production cross-section x branching ratio to tt final states as a function of the mass of Z'TC2.

Limits on the production cross-section x branching ratio to tt final states as a function of the mass of bulk RS KK graviton.

Limits on the production cross-section x branching ratio to tt final states as a function of the mass of bulk RS KK gluon.

Limits on the production cross-section x branching ratio to tt final states as a function of the mass of a scalar.

Limits on the production cross-section x branching ratio to tt final states as a function of the width of a 1TeV bulk RS KK gluon.

Limits on the production cross-section x branching ratio to tt final states as a function of the width of a 2TeV bulk RS KK gluon.

Limits on the production cross-section x branching ratio to tt final states as a function of the width of a 3TeV bulk RS KK gluon.

Migration from the true mtt values to the reconstructed mtt values for the resolved selection.

Migration from the true mtt values to the reconstructed mtt values for the boosted selection.

Observed limits on the effective theory mass scale M* as a function of the dark matter mass M(chi) at 90% confidence-level from combined mono-W-boson and mono-Z-boson signals for various operators.

Limits on chi-nucleon cross sections as a function of M(chi) at 90% confidence-level.

Limit on the Higgs boson cross section for decay to invisible particles divided by the cross section for decays to Standard Model particles as a function of M(Higgs) at 95% confidence-level.

Missing ET distribution in SR2B for stop GMSB model (data+/-stat, bkg+/-(stat+syst), signal+/-stat), m(stop1)=500 GeV, m(neutralino1)=400 GeV.

Missing ET distribution in SR2C for stop GMSB model (data+/-stat, bkg+/-(stat+syst), signal+/-stat), m(stop1)=500 GeV, m(neutralino1)=400 GeV.

met_sr3a (data+/-stat, bkg+/-(stat+syst), signal+/-stat).

met_sr3b (data+/-stat, bkg+/-(stat+syst), signal+/-stat).

Expected exclusion limits at 95% CL for stop2 grid.

Expected exclusion limits +1sigma at 95% CL for stop2 grid.

Expected exclusion limits -1sigma at 95% CL for stop2 grid.

Observed exclusion limits at 95% CL for stop2 grid.

Observed exclusion limits +1sigma SUSY cross section uncertainty at 95% CL for stop2 grid.

Observed exclusion limits -1sigma SUSY cross section uncertainty at 95% CL for stop2 grid.

t2_350_n1_20_Observed.

t2_350_n1_20_Expected.

t2_500_n1_20_Observed.

t2_500_n1_20_Expected.

t2_500_n1_120_Observed.

t2_500_n1_120_Expected.

Expected exclusion limits at 95% CL for stop GMSB model.

Expected exclusion limits +1sigma at 95% CL for stop GMSB model.

Expected exclusion limits -1sigma at 95% CL for stop GMSB model.

Observed exclusion limits at 95% CL for stop GMSB model.

Observed exclusion limits +1sigma SUSY cross section uncertainty at 95% CL for stop GMSB model.

Observed exclusion limits -1sigma SUSY cross section uncertainty at 95% CL for stop GMSB model.

met_3l2j (data+/-stat, bkg+/-(stat+syst), signal+/-stat).

met_3l3j (data+/-stat, bkg+/-(stat+syst), signal+/-stat).

The best expected signal region for stop2 model, where 1 and 2 mean SR3A and SR3B.

The best expected signal region for stop GMSB model, where 1 and 2 mean SR2A and SR2B.

The best expected signal region for stop2 mass 350 GeV and neutralino1 mass 20 GeV, where 1 and 2 mean SR3A and SR3B.

The best expected signal region for stop2 mass 500 GeV and neutralino1 mass 20 GeV, where 1 and 2 mean SR3A and SR3B.

The best expected signal region for stop2 mass 500 GeV and neutralino1 mass 120 GeV, where 1 and 2 mean SR3A and SR3B.

Observed upper limit on the signal cross section for stop2 grid.

Number of generated MC events for stop Natural GMSB model.

Cross section for stop Natural GMSB model.

xsec_stop2.

Ntot_stop2.

Acceptance of stop GMSB model for SR2A.

Efficiency of stop GMSB model for SR2A.

Number of expected signal events of stop GMSB model for SR2A.

Total systematic uncertainty of stop GMSB model for SR2A.

Observed CL_s of stop GMSB model for SR2A.

Expected CL_s of stop GMSB model for SR2A.

Acceptance of stop GMSB model for SR2B.

Efficiency of stop GMSB model for SR2B.

Number of expected signal events of stop GMSB model for SR2B.

Total systematic uncertainty of stop GMSB model for SR2B.

Observed CL_s of stop GMSB model for SR2B.

Expected CL_s of stop GMSB model for SR2B.

Acceptance of stop GMSB model for SR2C.

Efficiency of stop GMSB model for SR2C.

Number of expected signal events of stop GMSB model for SR2C.

Total systematic uncertainty of stop GMSB model for SR2C.

Observed CL_s of stop GMSB model for SR2C.

Expected CL_s of stop GMSB model for SR2C.

Nexp_SR3A.

RelUnc_SR3A.

Acc_SR3A.

Eff_SR3A.

CLsExp_SR3A.

CLs_SR3A.

Nexp_SR3B.

RelUnc_SR3B.

Acc_SR3B.

Eff_SR3B.

CLsExp_SR3B.

CLs_SR3B.

Selection acceptance times efficiency as a function of WPRIME mass at truth level for left- and right-handed WPRIME MC. The total efficiency curves correspond to the sum of the efficiencies of the one b-tag and two b-tag categories.

Cutflow (efficiency with respect to total number of events in %) for several WPRIME masses in the left-handed and in the right-handed model for hadronic top-quark decays.

Overview of the signal acceptance times efficiency (A x Eff) for the hadronic top-quark decay for both categories, the predicted cross section times branching ratio to TOP BOTTOM, as well as the observed 95% CL limit on the cross section times branching ratio for several WPRIME masses in the left-handed and in the right-handed model. The expected signal event yields in the two categories for 20.3 fb-1 of 8 TeV data are also shown.

For events in the low-ETmiss validation region, the M(l tau) distribution in VR1taua.

For events in the low-ETmiss validation region, the MT2max distribution in VR2taua.

For events in the high-ETmiss + b-tagged jet validation region, the ETmiss distribution in VR0taunoZb.

For events in the high-ETmiss + b-tagged jet validation region, the ETmiss distribution in VR0tauZb.

For events in the high-ETmiss + b-tagged jet validation region, the ETmiss distribution in VR1taub.

For events in the high-ETmiss + b-tagged jet validation region, the ETmiss distribution in VR2taub.

Expected distributions of SM background events and observed data distributions in the binned signal regions SR0taua.

The distribution of ETmiss in the summation of all SR0taua regions prior to the requirements on this variable.

The distribution of MT in the summation of all SR0taua regions prior to the requirements on this variable.

The distribution of M(SFOS) in the summation of all SR0taua regions prior to the requirements on this variable.

Expected distribution of SM background events and observed data distribution for the MIN(DELTA(PHI(ll))) variable in the SR0taub region, prior to the requirements on this variable.

Expected distribution of SM background events and observed data distribution for the ETmiss variable in the SR1tau region, prior to the requirements on this variable.

Expected distribution of SM background events and observed data distribution for the MT2max variable in the SR2taua region, prior to the requirements on this variable.

Expected distribution of SM background events and observed data distribution for the M(tau tau) variable in the SR2taub region, prior to the requirements on this variable.

Observed 95% CL exclusion contour for chargino and neutralino production in the sleptonL-mediated simplified model.

Expected 95% CL exclusion contour for chargino and neutralino production in the sleptonL-mediated simplified model.

Observed 95% CL exclusion contour for chargino and neutralino production in the WZ-mediated simplified model.

Expected 95% CL exclusion contour for chargino and neutralino production in the WZ-mediated simplified model.

Observed 95% CL exclusion contour for chargino and neutralino production in the stauL-mediated simplified model.

Expected 95% CL exclusion contour for chargino and neutralino production in the stauL-mediated simplified model.

Observed 95% CL exclusion contour for chargino and neutralino production in the Wh-mediated simplified model.

Expected 95% CL exclusion contour for chargino and neutralino production in the Wh-mediated simplified model.

Observed 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 100 GeV.

Expected 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 100 GeV.

Observed 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 140 GeV.

Expected 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 140 GeV.

Observed 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 250 GeV.

Expected 95% CL exclusion contour in the pMSSM model with sleptons and M1 = 250 GeV.

Observed 95% CL exclusion contour in the pMSSM model with staus.

Expected 95% CL exclusion contour in the pMSSM model with staus.

Observed 95% CL exclusion contour in the pMSSM model with no sleptons.

Expected 95% CL exclusion contour in the pMSSM model with no sleptons.

Excluded model cross-sections at 95% confidence level for the slepL-mediated simplified model.

Excluded model cross-sections at 95% confidence level for WZ-mediated simplified model.

Excluded model cross-sections at 95% confidence level for stauL-mediated simplified model.

Excluded model cross-sections at 95% confidence level for Wh-mediated simplified model.

Number of generated signal events for slepL-mediated simplified model.

Number of generated signal events for WZ-mediated simplified model.

Number of generated signal events for stauL-mediated simplified model.

Number of generated signal events for Wh-mediated simplified model.

Cross-sections for slepL-mediated simplified model.

Cross-sections for WZ-mediated simplified model.

Cross-sections for stauL-mediated simplified model.

Cross-sections for Wh-mediated simplified model.

Acceptance for slepL-mediated simplified model using SR0taua bin 20.

Acceptance for WZ-mediated simplified model using SR0taua bin 16.

Acceptance for stauL-mediated simplified model using SR2taua.

Acceptance for Wh-mediated simplified model using SR2taub.

Efficiency for slepL-mediated simplified model using SR0taua bin 20.

Efficiency for WZ-mediated simplified model using SR0taua bin 16.

Efficiency for stauL-mediated simplified model using SR2taua.

Efficiency for Wh-mediated simplified model using SR2taub.

The total experimental uncertainty, not including Monte Carlo statistics, for the slepL-mediated simplified model using SR0taua bin 20.

The total experimental uncertainty, not including Monte Carlo statistics, for the WZ-mediated simplified model using SR0taua bin 16.

The total experimental uncertainty, not including Monte Carlo statistics, for the stauL-mediated simplified model using SR2taua.

The total experimental uncertainty, not including Monte Carlo statistics, for the Wh-mediated simplified model using SR2taub.

The expected CL for slepL-mediated simplified model using SR0taua bin 20, using pseudo-experiments.

The expected CL for WZ-mediated simplified model using SR0taua bin 16, using pseudo-experiments.

The expected CL for stauL-mediated simplified model using SR2taua, using pseudo-experiments.

The expected CL for Wh-mediated simplified model using SR2taub, using pseudo-experiments.

The observed CL for slepL-mediated simplified model using SR0taua bin 20, using pseudo-experiments.

The observed CL for WZ-mediated simplified model using SR0taua bin 16, using pseudo-experiments.

The observed CL for stauL-mediated simplified model using SR2taua, using pseudo-experiments.

The observed CL for Wh-mediated simplified model using SR2taub, using pseudo-experiments.