Acceptance in the Lambda and tan(beta) plane. Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

Efficiency in the Lambda and tan(beta) plane. Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

Total systematic and theoretical signal uncertainty in the Lambda and tan(beta) plane. Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

The observed CLS values in the Lambda and tan(beta) plane. Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

The number of generated GMSB signal events in the Lambda and tan(beta) plane. Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

The total signal production cross section in the Lambda and tan(beta) plane in pb Note that bins with zero content in both Lambda abd Tan(Beta) have been omitted.

Expected 95% C.L. exclusion limits in the Mmess = 250 TeV, N5 = 3, mu > 0, Cgrav = 1 slice of GMSB in the Lambda and tan(beta) plane.

Observed 95% C.L. exclusion limits in the Mmess = 250 TeV, N5 = 3, mu > 0, Cgrav = 1 slice of GMSB in the Lambda and tan(beta) plane.

The distrubution of second leading jet pT for SR1 for the combined EE and MUMU channels. Tabulated are the observed Data rates and the Standard Model predictions as well as the distributions expected for two signal scenarios, both with an STOP mass of 250 GeV, and NEUTRALINO1 masses of 100 GeV and 220 GeV respectively. The last pT bin includes the number of overflow events for both data abd SM expectation.

The observed exclusion limits at 95% C.L. (using the CLs prescription) in the stop-neutralino1 mass plane, assuming direct stop pair production in the framework of GMSB models with light higgsinos.

The expected exclusion limits at 95% C.L. (using the CLs prescription) in the stop-neutralino1 mass plane, assuming direct stop pair production in the framework of GMSB models with light higgsinos.

The +1sigma contour around the median of the expected exclusion limits at 95% C.L. (using the CLs prescription) in the stop-neutralino1 mass plane, assuming direct stop pair production in the framework of GMSB models with light higgsinos.

The -1sigma contour around the median of the expected exclusion limits at 95% C.L. (using the CLs prescription) in the stop-neutralino1 mass plane, assuming direct stop pair production in the framework of GMSB models with light higgsinos.

The acceptance, using prompt leptons only, in the stop1-neutralino1 mass plane for SR1 and SR2.

The efficiancy in the stop1-neutralino1 mass plane for SR1 and SR2.

The total systematic uncertainty, including both theoretical and experimental uncertainties, in the stop1-neutralino1 mass plane for SR1 and SR2.

The CLs values in the stop1-neutralino1 mass plane for SR1 and SR2.

The number of generated MC events for each signal point in the stop1-neutralino1 mass plane before applying the dilepton filter efficiency. After that, 25K events per point are simulated.

The cross section of stop1-stop1 in the stop1-neutralino1 mass plane.

Transverse momentum distribution for the second leading lepton for events in the SR2 signal region for DATA and SM predictions.

Transverse momentum distribution for the third leading lepton for events in the SR1 signal region for DATA and SM predictions.

Transverse momentum distribution for the third leading lepton for events in the SR2 signal region for DATA and SM predictions.

Missing transverse energy for events in the SR1 signal region for DATA and SM predictions.

Missing transverse energy for events in the SR2 signal region for DATA and SM predictions.

Invariant mass of the same-flavour-opposite-sign (SFOS) lepton pair for events in the SR1 signal region for DATA and SM predictions.

The Cross Section in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Cross Section in signal region SR1 for the SUSY simplified model grid.

The Number of generated Events in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Number of generated Events in signal region SR1 for the SUSY simplified model grid.

The Efficiency in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Efficiency in signal region SR1 for the SUSY simplified model grid.

The Acceptance in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Acceptance in signal region SR1 for the SUSY simplified model grid.

The Acceptance*Efficiency in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Acceptance*Efficiency in signal region SR1 for the SUSY simplified model grid.

The Systematic Uncertainty of the data (excluding the Monte Carlo) in signal region SR1 for the SUSY pMSSM model with M1=100 GeV grid.

The Systematic Uncertainty of the data (excluding the Monte Carlo) in signal region SR1 for the SUSY simplified model grid.

CL values for the pMSSM with M1=100 GeV model grid for the SR1 signal region.

CL values for the simplified model model grid for the SR1 signal region.

INVARIANT YIELDS

RAA

RAA

RAA

RAA

pT AVERAGE RAA

Sloss

Sloss

Sloss

n_eff(xT)

n_eff(xT)

n_eff(xT)

n_eff(xT)

$J/\psi$ invariant yield as a function of $p_T$ for each centrality at $|y|$ < 0.35. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality at $|y|$ < 0.35. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality at $|y|$ < 0.35. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality at $|y|$ < 0.35. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ invariant yield as a function of $p_T$ for each centrality for −2.2 < $y$ < −1.2. The type C systematic uncertainty for each distribution is given as a percentage in the legend. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ nuclear modification factor, $R_{dAu}$, as a function of $p_T$ for (a) backward rapidity 0–100% centrality integrated $d$+Au collisions. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ nuclear modification factor, $R_{dAu}$, as a function of $p_T$ for (b) midrapidity 0–100% centrality integrated $d$+Au collisions. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ nuclear modification factor, $R_{dAu}$, as a function of $p_T$ for (c) forward rapidity 0–100% centrality integrated $d$+Au collisions. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for a) central events at −2.2 < $y$ < −1.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for b) midcentral events at −2.2 < $y$ < −1.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for c) midperipheral events at −2.2 < $y$ < −1.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for d) peripheral events at −2.2 < $y$ < −1.2. The 60–88% $R_{dAu}$ point at $p_T$ = 5.75 GeV/$c$ has been left off the figure, as it is above the plotted range and has very large uncertainties, however it is included in the table. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $e^+e^-$ $R_{dAu}$, as a function of $p_T$ for a) central, b) midcentral, c) midperipheral, and d) peripheral events at $|y|$ < 0.35. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for a) central events at 1.2 < $y$ < 2.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for b) midcentral events at 1.2 < $y$ < 2.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for c) midperipheral events at 1.2 < $y$ < 2.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

$J/\psi$ —> $\mu^+\mu^-$ $R_{dAu}$, as a function of $p_T$ for d) peripheral events at 1.2 < $y$ < 2.2. Type A represents uncertainties that are uncorrelated from point to point, Type B represents uncertainties that are correlated from point to point, and Type C represents uncertainties in the overall normalization.

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.

The measured fraction of events, the gap fraction, surviving the veto cut of having no additional jets in the |rapidity| interval < 2.1 having a transverse momentum greater than Q, as a function of Q.

The measured fraction of events, the gap fraction, surviving the veto cut of having no events with the scalar sum of the transverse momentum of additional jets in the |rapidity| interval < 0.8 greater than Q, as a function of Q.

The measured fraction of events, the gap fraction, surviving the veto cut of having no events with the scalar sum of the transverse momentum of additional jets in the |rapidity| interval 0.8-1.5 greater than Q, as a function of Q.

The measured fraction of events, the gap fraction, surviving the veto cut of having no events with the scalar sum of the transverse momentum of additional jets in the |rapidity| interval 1.5-2.1 greater than Q, as a function of Q.

The measured fraction of events, the gap fraction, surviving the veto cut of having no events with the scalar sum of the transverse momentum of additional jets in the |rapidity| interval < 2.1 greater than Q, as a function of Q.

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval < 0.8.

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval 0.8 TO 1.5.

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval 1.5 TO 2.1.

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval < 2.1.

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval < 0.8.

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval 0.8 TO 1.5.

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval 1.5 TO 2.1.

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval < 2.1.