Distribution of the missing ET for data and the SM expectation in the one-lepton plus 2 jet channel.

Observed 95 PCT exclusion limit in the M(gluino), M(sbottom) plane obtained with the zero-lepton channel data.

Expected 95 PCT exclusion limit in the M(gluino), M(sbottom) plane obtained with the zero-lepton channel data.

Observed and expected 95 PCT CL upper limits on the gluino-mediated and stop pair production cross section as a function of the gluino mass for a stop mass od 180 GeV, for the one-lepton analysis.

Observed and expected 95 PCT CL upper limits on the gluino-mediated and stop pair production cross section as a function of the gluino mass for a stop mass od 210 GeV, for the one-lepton analysis.

Observed 95 PCT CL exclusion limits from the zero-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Expected 95 PCT CL exclusion limits from the zero-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Observed 95 PCT CL exclusion limits from the one-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Expected 95 PCT CL exclusion limits from the one-lepton analysis on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Observed 95 PCT CL exclusion limits from the combined zero and one-lepton analyses on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Expected 95 PCT CL exclusion limits from the combined zero and one-lepton analyses on the MSUGRA/CMSSM scenario with tan(beta) = 40, A0 = 0 and MU > 0.

Expected 95% CL exclusion limit in the sbottom-neutralino mass plane.

Expected +1 sigma exclusion limit in the sbottom-neutralino mass plane.

Expected -1 sigma exclusion limit in the sbottom-neutralino mass plane.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 0.8 to 6.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 6.8 to 12.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 12.8 to 18.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 18.8 to 24.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 24.8 to 30.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 30.8 to 36.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 36.8 to 42.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 42.8 to 48.8.

The observed 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta) over the tan(beta) region 48.8 to 51.2.

The observed and expected 95% CL limits on the minimal GMSB model parameters Lambda and tan(beta).

The acceptance, efficiency and their product in the Lambda-Tan(Beta)-plane for M_mess=250 TeV, N_5=3 and C_grav=1.

The relative systematic uncertainty from the selection, theoretical and statistical uncertainities and their combined values.

The observed 95% CL upper limits on the visible and production cross sections in the Lambda-Tan(Beta) plane for stau and slepton NLSP production in the minimal GMSB model.

Normalised cross-section as a function of the mass of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the mass of Cambridge-Aachen jets with R=1.2 after splitting and filtering.

Normalised cross-section as a function of the mass of Cambridge-Aachen jets with R=1.2 after splitting and filtering.

Normalised cross-section as a function of the mass of Cambridge-Aachen jets with R=1.2 after splitting and filtering.

Normalised cross-section as a function of the mass of Cambridge-Aachen jets with R=1.2 after splitting and filtering.

Normalised cross-section as a function of the mass of anti-kT jets with R=1.0.

Normalised cross-section as a function of the mass of anti-kT jets with R=1.0.

Normalised cross-section as a function of the mass of anti-kT jets with R=1.0.

Normalised cross-section as a function of the mass of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d12) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d12) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d12) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d12) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d23) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d23) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d23) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the the splitting scale variable sqrt(d23) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(12) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(12) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(12) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(12) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of Cambridge-Aachen jets with R=1.2.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(21) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(21) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(21) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(21) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of anti-kT jets with R=1.0.

Normalised cross-section as a function of the N-subjettiness ratio variable tau(32) of anti-kT jets with R=1.0.

95 PCT confidence lower limits to M(1/2).

Parametrization of the $A_{X}$ factor, defined as the fraction of diphoton resonances satisfying the fiducial acceptance at the particle level, as function of $m_{X}$ obtained from the narrow width simulated signal samples produced in gluon fusion.

The correction factor, $C_{X}$, defined as the ratio between the number of reconstructed signal events passing the analysis cuts and the number of signal events at the particle level generated within the fiducial volume, and acceptance correction factor, $A_{X}$, defined as the fraction of diphoton resonances satisfying the fiducial acceptance at the particle level. Both are computed for NWA spin-0 models as a function of $m_{X}$.

Effect of event selections on a scalar MC signal sample generated for $m_{X}$ = 15 GeV and on the data. For the MC sample, the efficiencies are shown after applying event weights and a truth level filter that requires two photons with $p^{\gamma\gamma}_{T}>40$ GeV; for the data, the absolute yields are shown. The initial yields for data include a trigger preselection that is the OR of a list of single photon and diphoton triggers. The "2 $loose$ photons" step includes the kinematic acceptance cuts.

Parameterization of the Double Sided Crystal Ball function parameters describing the scalar mass resolution model as a function of $m_{X}$ [GeV].

Distribution of $m_{\mathrm{JJ}}$ in the SR (black points) compared to the background-only expectation, where the shape is derived from the CR and the normalisation is fitted in the SR.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model A (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model A (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model A, the predicted cross-section is shown for $g_q=0.05$ and $g_{q_d} = 0.2$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model B (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model B (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model B, the predicted cross-section is shown for $g_q=0.15$ and $g_{q_d} = 0.5$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model C (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model C (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model C, the predicted cross-section is shown for $g_q=0.15$ and $g_{q_d}= 0.5$.

Observed and expected limits at 95% CL on the cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model D (see the text for details). The darker and lighter shaded bands around the expected limits represent the $\pm 1 \sigma$ and $\pm 2 \sigma$ uncertainty range, respectively.

The predicted theory cross-section times branching ratio for the production of dark quarks through a $Z^\prime$ as a function of the $Z^\prime$ mass for model D (see the text for details). In the theory model, a universal coupling of the $Z^\prime$ to each SM quark $g_q$ is assumed and the dark quarks are all represented by one species with an effective coupling $g_{q_d}$ to the $Z^\prime$. For model D, the predicted cross-section is shown for $g_q=0.05$ and $g_{q_d} = 0.2$.

Relative efficiency (in %) of each stage of the analysis selection with respect to the previous one for models A through D and $m_{Z^\prime}=2.5$ TeV. Approximately 90000 events were generated per signal mass hypothesis.

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.

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.