Best fit values of $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$ relative to their SM prediction from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\sigma(gg\to H\to WW)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{WW}$ from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The values involving cross sections are given for $\sqrt{s}$=8 TeV, assuming the SM values for $\sigma_i(7 \mathrm{TeV})/\sigma_i(8 \mathrm{TeV})$. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\sigma(gg\to H\to WW)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{WW}$ relative to their SM prediction from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS, and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The expected uncertainties in the measurements are also shown.

Best fit values of $\kappa_{gZ}= \kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and of the ratios of coupling modifiers, as defined in the most generic parameterisation described in the context of the $\kappa$ framework, from the combined analysis of the $\sqrt{s}$=7 and 8 TeV data. The results are shown for the combination of ATLAS and CMS and also separately for each experiment, together with their total uncertainties and their breakdown into the four components described in the text. The uncertainties in $\lambda_{tg}$ and $\lambda_{WZ}$, for which a negative solution is allowed, are calculated around the overall best fit value. The expected total uncertainties in the measurements are also shown. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Measured global signal strength $\mu$ and its total uncertainty, together with the breakdown of the uncertainty into its four components as defined in the text. The results are shown for the combination of ATLAS and CMS, and separately for each experiment. The expected uncertainty, with its breakdown, is also shown.

Measured signal strengths $\mu$ and their total uncertainties for different Higgs boson production processes. The results are shown for the combination of ATLAS and CMS, and separately for each experiment, for the combined $\sqrt{s}$=7 and 8 TeV data. The expected uncertainties in the measurements are also displayed. These results are obtained assuming that the Higgs boson branching fractions are the same as in the SM.

Measured signal strengths $\mu$ and their total uncertainties for different Higgs boson decay channels. The results are shown for the combination of ATLAS and CMS, and separately for each experiment, for the combined $\sqrt{s}$=7 and 8 TeV data. The expected uncertainties in the measurements are also displayed. These results are obtained assuming that the Higgs boson production process cross sections at $\sqrt{s}$ = 7 and 8 TeV are the same as in the SM.

Results of the ten-parameter fit of $\mu_F^f = \mu_{gg\mathrm{F}+ttH}^f$ and $\mu_V^f = \mu_{\mathrm{VBF}+VH}^f$ for each of the five decay channels. The results are shown for the combination of ATLAS and CMS, together with their measured and expected uncertainties. The measured results are also shown separately for each experiment.

Results of the six-parameter fit of the global ratio $\mu_V/\mu_F = \mu_{\mathrm{VBF}+VH}/\mu_{gg\mathrm{F}+ttH}$ together with $\mu_F^f$ for each of the five decay channels. The results are shown for the combination of ATLAS and CMS, together with their measured and expected uncertainties. The measured results are also shown separately for each experiment.

Fit results allowing BSM loop couplings, assuming that $|\kappa_{V}| \le$ 1, where $\kappa_{V}$ denotes $\kappa_{Z}$ or $\kappa_{W}$, and that $\mathrm{B_{BSM}} \ge$ 0. The results for the combination of ATLAS and CMS are reported with their measured and expected uncertainties. Also shown are the results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ interval is shown on a second line. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Fit results allowing BSM loop couplings, assuming that there are no additional BSM contributions to the Higgs boson width, i.e. $\mathrm{B_{BSM}}=0$. The results for the combination of ATLAS and CMS are reported with their measured and expected uncertainties. Also shown are the results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ interval is shown on a second line. When a parameter is constrained and reaches a boundary, namely $\mathrm{B_{BSM}}$ = 0, the uncertainty is not indicated. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Fit results for the parameterisation assuming the absence of BSM particles in the loops ($\mathrm{B_{BSM}}$=0). The results with their measured and expected uncertainties are reported for the combination of ATLAS and CMS, together with the individual results from each experiment. For the parameters with both signs allowed, the other 1$\sigma$ CL interval is shown on a second line. When a parameter is constrained and reaches a boundary, namely $|\kappa_\mu|$ = 0, the uncertainty is not indicated. For those parameters with no sensitivity to the sign, only the absolute values are shown.

Summary of fit results for a parameterisation probing the ratios of coupling modifiers for up-type versus down-type fermions. The results for the combination of ATLAS and CMS are reported together with their measured and expected uncertainties. Also shown are the results from each experiment. The parameter $\kappa_{uu}$ is positive definite since $\kappa_H$ is always assumed to be positive. For the parameter $\lambda_{du}$, for which both signs are allowed, the other 1$\sigma$ CL interval is shown on a second line. Negative values for the parameter $\lambda_{Vu}$ are excluded by more than 4$\sigma$.

Summary of fit results for a parameterisation probing the ratios of coupling modifiers for leptons versus quarks. The results for the combination of ATLAS and CMS are reported together with their measured and expected uncertainties. Also shown are the results from each experiment. The parameter $\kappa_{qq}$ is positive definite since $\kappa_H$ is always assumed to be positive. For the parameter $\lambda_{lq}$, for which there is no sensitivity to the sign, only the absolute values are shown. Negative values for the parameter $\lambda_{Vq}$ are excluded by more than 4$\sigma$.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with 23 parameters, $\sigma_i\cdot\mathrm{B}^f$ for each specific channel $i\to H\to f$. Only 20 parameters are shown because the other three, corresponding to the $H\to ZZ$ decay channel for the $WH$, $ZH$, and $ttH$ production processes, are not measured with a meaningful precision.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with nine parameters, $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$.

Correlation matrix obtained from the fit combining the ATLAS and CMS data using the generic parameterisation with seven parameters, $\kappa_{gZ}=\kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and the ratios of coupling modifiers.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with 23 parameters, $\sigma_i\cdot\mathrm{B}^f$ for each specific channel $i\to H\to f$. Only 20 parameters are shown because the other three, corresponding to the $H\to ZZ$ decay channel for the $WH$, $ZH$, and $ttH$ production processes, are not measured with a meaningful precision.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with nine parameters, $\sigma(gg\to H\to ZZ)$, $\sigma_i/\sigma_{gg\mathrm{F}}$, and $\mathrm{B}^f/\mathrm{B}^{ZZ}$.

Expected correlation matrix obtained from the fit combining ATLAS and CMS pre-fit Asimov data sets using the generic parameterisation with seven parameters, $\kappa_{gZ}=\kappa_{g}\cdot\kappa_{Z} / \kappa_{H}$ and the ratios of coupling modifiers.

ATLAS+CMS combined best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

ATLAS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

CMS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{g}$,$\kappa_{\gamma}$) plane.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\gamma\gamma$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow ZZ$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow WW$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\tau\tau$ channel.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow bb$ channel.

ATLAS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

CMS best-fit and 68% and 95% CL negative log-likelihood contours in the ($\kappa_{F}$,$\kappa_{V}$) plane.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\gamma\gamma$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow ZZ$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow WW$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow\tau\tau$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% CL negative log-likelihood contour in the ($\kappa_{F}$,$\kappa_{V}$) plane for the $H\rightarrow bb$ channel, assuming $\kappa_{F}>0$.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow\gamma\gamma$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow ZZ$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow WW$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow\tau\tau$ channel.

Best-fit and 68% and 95% CL negative log-likelihood contours in the ($\mu^{f}_{gg\mathrm{F}+ttH}$,$\mu^{f}_{\mathrm{VBF}+VH}$) plane for the $H\rightarrow bb$ channel.

Model-independent constraints on the coupling strength modifier as a function of the heavy scalar boson mass, for a relative width of 2.5%.

Model-independent constraints on the coupling strength modifier as a function of the heavy scalar boson mass, for a relative width of 5.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy scalar boson mass, for a relative width of 10.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy scalar boson mass, for a relative width of 25.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 0.5%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 1.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 2.5%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 5.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 10.0%.

Model-independent constraints on the coupling strength modifier as a function of the heavy pseudoscalar boson mass, for a relative width of 25.0%.

Summary of typical systematic uncertainties for the signal.

Numbers of observed events for all signal regions, including predicted background contributions and expected signal yields.

Limits on anomalous quartic couplings at 95% CL.

Expected and observed 95% CL upper limits on the cross section times the branching ratio sigma(P P --> W+- a)B(a --> W+- W-+) as a function of ALP mass

Expected and observed 95% CL upper limits on the photophobic ALP model parameter 1/f_a as a function of ALP mass.

Observed signal strength, and observed signal cross section.

The timing distribution of the backgrounds predicted to contribute to the signal region, compared to those for a representative signal model. The time is defined by the jet in the event with the largest $t_{\mathrm{jet}}$ passing the relevant selection. The distributions for the major backgrounds are taken from control regions and normalized to the predictions. The observed data is shown by the black points.

The distribution (normalized to unity) of $\mathrm{HEF}$ for a data sample enriched in beam halo and noise jets (satisfying $|\eta| < 1.48$, $p_\mathrm{T} > 30 \,\mathrm{GeV}$, $PV_{\rm track}^{\rm fraction} < 1/12$, $t_{\mathrm{jet}} < -3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20\,\mathrm{GeV}$ and $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}} < 0.4$) and for signal jets passing signal region selections (except on $\mathrm{HEF}$).

Selection efficiencies for the GMSB model with $m_{\tilde{g}}=2400$ and various proper decay lengths

The product of the acceptance and efficiency in the $c\tau_{0}$ vs. $m_{\tilde{g}}$ plane for the GMSB model, after all requirements.

The distribution (normalized to unity) of $E_{\mathrm{HCAL}}$ for a data sample enriched in beam halo and noise jets (satisfying $|\eta| < 1.48$, $p_\mathrm{T} > 30 \,\mathrm{GeV}$, $PV_{\rm track}^{\rm fraction} < 1/12$, $t_{\mathrm{jet}} < -3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20\,\mathrm{GeV}$ and $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}} < 0.4$) and for signal jets passing signal region selections (except on $E_{\mathrm{HCAL}}$).

Selection efficiencies for the GMSB model with $m_{\tilde{g}}=3000$ and various proper decay lengths

The observed upper limits at $95\%$ CL for the gluino pair production cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed.

The observed upper limits at $95\%$ CL for the gluino pair production cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed.

The distribution (normalized to unity) of $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}}$ for data sample enriched in jets from noise (satisfying $|\eta| < 1.48$, $p_\mathrm{T} > 30\,\mathrm{GeV}$, $PV_{\rm track}^{\rm fraction} > 1/12$, $\mathrm{HEF} > 0.2$, $t_{\mathrm{jet}} < -3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20 \,\mathrm{GeV}$ and $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}} < 0.8$) and for signal jets passing signal region selections (except on $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}}$ and $t^{\mathrm{RMS}}_\mathrm{jet}$)

The observed and expected upper limits at $95\%$ CL on the gluino pair production cross section for a gluino GMSB model with $m_{\tilde{g}}=2400$ GeV. The one (two) standard deviation variation in the expected limit is shown in the inner green (outer yellow) band. The blue solid line shows the observed limit obtained by the CMS displaced jet search

The distribution (normalized to unity) of $t^{\mathrm{RMS}}_\mathrm{jet}$ for data sample enriched in jets from noise (satisfying $|\eta| < 1.48$, $p_\mathrm{T} > 30\,\mathrm{GeV}$, $PV_{\rm track}^{\rm fraction} > 1/12$, $\mathrm{HEF} > 0.2$, $t_{\mathrm{jet}} < -3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20 \,\mathrm{GeV}$ and $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}} < 0.8$) and for signal jets passing signal region selections (except on $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}}$ and $t^{\mathrm{RMS}}_\mathrm{jet}$)

The distribution (normalized to unity) of $PV_{\rm track}^{\rm fraction}$ for a data sample enriched in main bunch backgrounds (satisfying $p_\mathrm{T} > 30\,\mathrm{GeV}$, $|\eta| < 1.48$, $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}} < 0.8$, $|t_{\mathrm{jet}}| < 3\,\mathrm{ns}$ and $E_{\mathrm{ECAL}} >20\,\mathrm{GeV}$) and for signal jets passing signal selections (except on $PV_{\rm track}^{\rm fraction}$).

The distribution (normalized to unity) of $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}}$ for a data sample enriched in beam halo (satisfying $p_\mathrm{T} > 30\,\mathrm{GeV}$, $|\eta| < 1.48$, $PV_{\rm track}^{\rm fraction} < 1/12$, $\mathrm{HEF} < 0.2$, $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}} < 0.4$, $t_{\mathrm{jet}} < -3\,\mathrm{ns}$ and $E_{\mathrm{ECAL}} > 20\,\mathrm{GeV}$) and for signal jets passing signal selections (except on $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}}$)

The distribution (normalized to unity) of $\mathrm{max}(\Delta \phi_{\mathrm{DT}})$ for a data sample enriched in cosmic muons (satisfying $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}} < 0.8$, $p_\mathrm{T} > 30\,\mathrm{GeV}$, $|\eta| < 1.48$, $PV_{\rm track}^{\rm fraction} < 1/12$, $\mathrm{HEF} > 0.2$, $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}} < 0.4$, $t_{\mathrm{jet}} > 3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20\,\mathrm{GeV}$ and failing the HCAL noise rejection quality filters) and for signal jets passing signal selections (except on $\mathrm{max}(\Delta \phi_{\mathrm{DT}})$).

The distribution (normalized to unity) of $\mathrm{max}(\Delta \phi_{\mathrm{RPC}})$ for a data sample enriched in cosmic muons (satisfying $E^{\mathrm{CSC}}_\mathrm{ECAL}/E_{\mathrm{ECAL}} < 0.8$, $p_\mathrm{T} > 30\,\mathrm{GeV}$, $|\eta| < 1.48$, $PV_{\rm track}^{\rm fraction} < 1/12$, $\mathrm{HEF} > 0.2$, $t^{\mathrm{RMS}}_\mathrm{jet}/t_{\mathrm{jet}} < 0.4$, $t_{\mathrm{jet}} > 3\,\mathrm{ns}$, $E_{\mathrm{ECAL}} > 20\,\mathrm{GeV}$ and failing the HCAL noise rejection quality filters) and for signal jets passing signal selections (except on $\mathrm{max}(\Delta \phi_{\mathrm{RPC}})$).

Distribution of $t_{\mathrm{jet}}$ for jets with the full Run 2 dataset with no cleaning selection applied (a) and after all jet cleaning selections are applied (b) in events satisfying the trigger requirements and satisfying $p_T^\mathrm{miss} > 300$. The jets are required to pass an inverted selection of $PV_{\rm track}^{\rm fraction} > 1/12$ to enrich the sample in those originating from main and satellite bunch backgrounds. The cleaning selections are shown to reduce the backgrounds by many orders of magnitude.

Distribution of $t_{\mathrm{jet}}$ for jets with the full Run 2 dataset in events satisfying the trigger requirements and satisfying $p_T^\mathrm{miss} < 300$. The jets are required to pass an inverted selection of $PV_{\rm track}^{\rm fraction} > 1/12$ to enrich the sample in those originating from main and satellite bunch backgrounds (all other jet cleaning selections are applied). Clear contributions from jets from satellite bunch collisions can be seen peaked around -5, 5 and 10 ns.

Contribution to the delayed time of jets from the $\beta$ of the gluino is plotted against the delay contribution from the difference (assuming straight line paths) between the path taken by the gluino and the particle forming the jet from the path length for a particle travelling directly to the same position on the ECAL barrel for gluino $c\tau_{0} = 10$ m and mass of 1000 Gev (top) and 3000 GeV (bottom). The dominant contribution is shown to be the gluino $\beta$.

The observed upper limits at $95\%$ CL for the gluino pair production cross section relative to the theoretical cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected upper limits at $95\%$ CL for the gluino pair production cross section relative to the theoretical cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected plus 1 $\sigma_{\mathrm{experiment}}$ upper limits at $95\%$ CL for the gluino pair production cross section relative to the theoretical cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected minus 1 $\sigma_{\mathrm{experiment}}$ upper limits at $95\%$ CL for the gluino pair production cross section relative to the theoretical cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected upper limits at $95\%$ CL for the gluino pair production cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected plus 1 $\sigma_{\mathrm{experiment}}$ upper limits at $95\%$ CL for the gluino pair production cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

The expected minus 1 $\sigma_{\mathrm{experiment}}$ upper limits at $95\%$ CL for the gluino pair production cross section in the GMSB model, shown in the plane of $m_{\tilde{g}}$ and $c\tau_{0}$. A branching fraction of $100\%$ for the gluino decay to a gluon and a gravitino is assumed. The area below the thick black curve represents the observed exclusion region, while the dashed red lines indicate the expected limits and their $\pm 1$ standard deviation ranges from experimental uncertainties. The thin black lines show the effect of the theoretical uncertainties on the signal cross section.

P-value for H(A) -> ZA(H) -> bbbar production as a function of mA and mH. The limits are computed using the asymptotic CLs method, combining the ee and μμ channels.

The dijet mass distribution in data and simulated background events after requiring all the analysis selections, for μμ + ee events. The various signal hypotheses displayed have been scaled to a cross section of 1 pb for display purposes.

The llbb mass distribution in data and simulated background events after requiring all the analysis selections, for μμ + ee events. The various signal hypotheses displayed have been scaled to a cross section of 1 pb for display purposes.

The rho distributions for the same-flavour category events corresponding to a signal hypothesis with mH = 261 GeV and mA = 150 GeV. The signal is normalised to its theoretical cross section.

The rho distributions for the mixed-flavour category events corresponding to a signal hypothesis with mH = 261 GeV and mA = 150 GeV.

The rho distributions for the same-flavour category events corresponding to a signal hypothesis with mH = 442 GeV and mA = 193 GeV. The signal is normalised to its theoretical cross section.

The rho distributions for the mixed-flavour category events corresponding to a signal hypothesis with mH = 442 GeV and mA = 193 GeV.

2-dimensional aTGC limits in lepton + jet events in WW and WZ production

2-dimensional aTGC limits in lepton + jet events in WW and WZ production

2-dimensional aTGC limits in LEP paramatrization in lepton + jet events in WW and WZ production

2-dimensional aTGC limits in LEP paramatrization in lepton + jet events in WW and WZ production

2-dimensional aTGC limits in LEP paramatrization in lepton + jet events in WW and WZ production

Event yields for the same-sign dilepton mu+mu category.

Event yields for the same-sign dilepton mu+e category.

Event yields for the multilepton event categories Explanation of categories: C1 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C2 - 3 lepton, 0 tau, 0 OSSF, >=1 b-tag, ST in 600 to 1000 C3 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 1000 to 1500 C4 - 3 lepton, 0 tau, 0 OSSF, >=1 b-tag, ST in 1000 to 1500 C5 - 3 lepton, 0 tau, 1 OSSF, 0 b-tag, off-Z, ST in 600 to 1000 C6 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C7 - 3 lepton, 1 tau, 0 OSSF, >=1 b-tag, ST in 600 to 1000 C8 - 3 lepton, 1 tau, 0 OSSF, >=1 b-tag, ST in 1000 to 1500 C9 - 3 lepton, 0 tau, 0 OSSF, 0 b-tag, ST in 600 to 1000 C10 - 3 lepton, 0 tau, 1 OSSF, 0 b-tag, off-Z, ST in 1000 to 1500 C11 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 1000 to 1500 C12 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, on-Z, ST in 600 to 1000 C13 - 3 lepton, 0 tau, 0 OSSF, 0 b-tag, ST in 1000 to 1500 C14 - 3 lepton, 1 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C15 - 3 lepton, 1 tau, 0 OSSF, 0 b-tag, ST in 600 to 1000 C16 - 3 lepton, 1 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 1000 to 1500 C17 - 4 lepton, 1 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C18 - 4 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C19 - 3 lepton, 1 tau, 0 OSSF, 0 b-tag, ST in 100 to 1500 C20 - 4 lepton, 0 tau, 2 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C21 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, on-Z, ST in 1000 to 1500 C22 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 300 to 600 C23 - 3 lepton, 0 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 1500 to 2000 C24 - 3 lepton, 1 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 600 to 1000 C25 - 3 lepton, 0 tau, 1 OSSF, 0 b-tag, off-Z, ST in 600 to 1000 C26 - 4 lepton, 1 tau, 1 OSSF, >=1 b-tag, off-Z, ST in 300 to 600 Note: "n/a" signifies a category which does not contribute for a given signal hypothesis.

Event yields for the all-hadronic event categories.

Event yields for the opposite sign dilepton event categories.

Cross section limits for all branching ratio combinations.

$\mathrm{M_{\mathrm{T}}}$ distribution for the $\mathrm{e}\mu$ control region.

$\mathrm{M_{\mathrm{T}}}$ distribution for the WZ control region.

$\mathrm{M_{\mathrm{T}}}$ distribution for the ZZ control region.

$\mathrm{M_{\mathrm{T}}}$ distribution for the signal region, events with $|\eta_{\gamma}|<1$.

$\mathrm{M_{\mathrm{T}}}$ distribution for the signal region, events with $|\eta_{\gamma}|>1$.

Muon reconstruction, identification, and isolation efficiency as a function of $|\eta|$ and $\mathrm{p_\mathrm{T}}$.

Photon efficiency as a function of $|\eta|$ and $\mathrm{p_\mathrm{T}}$.

Expected yields for different processes after several selection stages. The preselection requires two leptons and at least one photon with $\mathrm{p_\mathrm{T}}$ larger than 25, 20, and 25 GeV, respectively; in addition the dilepton $\mathrm{p_\mathrm{T}}$ must be larger than 60 GeV, and the $\mathrm{p_\mathrm{T}}^{\mathrm{miss}}$ larger than 70 GeV. The signal prediction corresponds to $0.1 \sigma_{\mathrm{\mathrm{ZH}}}$ at $m_{H}$ = 125 GeV.

Expected and observed upper limits at 95\% confidence level on the product of $\sigma_{\mathrm{\mathrm{ZH}}}$ and $\mathcal{B}$($\mathrm{H}$ -> $\mathrm{invisible}+\gamma$) as a function of $m_{\mathrm{\mathrm{H}}}$.

Correlation matrix for the asymmetries as a function of $p_\text{T}^\mathrm{t\bar{t}}$ in the fiducial phase space. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $m_\mathrm{t\bar{t}}$ in the fiducial phase space, using three bins in $m_\mathrm{t\bar{t}}$. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $m_\mathrm{t\bar{t}}$ in the fiducial phase space, using three bins in $m_\mathrm{t\bar{t}}$. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $m_\mathrm{t\bar{t}}$ in the fiducial phase space, using six bins in $m_\mathrm{t\bar{t}}$. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $m_\mathrm{t\bar{t}}$ in the fiducial phase space, using six bins in $m_\mathrm{t\bar{t}}$. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $|y_\mathrm{t\bar{t}}|$ in the full phase space. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $|y_\mathrm{t\bar{t}}|$ in the full phase space. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $p_\text{T}^\mathrm{t\bar{t}}$ in the full phase space. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $p_\text{T}^\mathrm{t\bar{t}}$ in the full phase space. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $m_\mathrm{t\bar{t}}$ in the full phase space, using three bins in $m_\mathrm{t\bar{t}}$. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $m_\mathrm{t\bar{t}}$ in the full phase space, using three bins in $m_\mathrm{t\bar{t}}$. Both statistical and systematic effects are considered.

Corrected asymmetry as a function of $m_\mathrm{t\bar{t}}$ in the full phase space, using six bins in $m_\mathrm{t\bar{t}}$. The value 9999 is used as a placeholder for infinity. The correlation matrix for these values can be found in a separate table.

Correlation matrix for the asymmetries as a function of $m_\mathrm{t\bar{t}}$ in the full phase space, using six bins in $m_\mathrm{t\bar{t}}$. Both statistical and systematic effects are considered.

Normalized differential W+W- cross section as a function of the leading lepton pT. Both statistical and systematic uncertainties are included. Results are computed in a fiducial region defined by requiring zero jets at particle level with varying jet pT thresholds and requiring prompt leptons with pT > 20 GeV and abs(eta) < 2.5, before final-state radiation.

Normalized differential W+W- cross section as a function of the dilepton system. Both statistical and systematic uncertainties are included. Results are computed in a fiducial region defined by requiring zero jets at particle level with varying jet pT thresholds and requiring prompt leptons with pT > 20 GeV and abs(eta) < 2.5, before final-state radiation.

Normalized differential W+W- cross section as a function of the invariant mass. Both statistical and systematic uncertainties are included. Results are computed in a fiducial region defined by requiring zero jets at particle level with varying jet pT thresholds and requiring prompt leptons with pT > 20 GeV and abs(eta) < 2.5, before final-state radiation.

Normalized differential W+W- cross section as a function of the angular separation between leptons. Both statistical and systematic uncertainties are included. Results are computed in a fiducial region defined by requiring zero jets at particle level with varying jet pT thresholds and requiring prompt leptons with pT > 20 GeV and abs(eta) < 2.5, before final-state radiation.

Measured cWWW/LAMBDA^2, cW/LAMBDA^2, and cB/LAMBDA^2 coupling constants.

Measured 95% CL interval of the cWWW/LAMBDA^2, cW/LAMBDA^2, and cB/LAMBDA^2 coupling constants.

The 95% CL upper limits on the production cross section times the branching fraction as a function of mA in the case of a b-associated production and an intrinsic width corresponding to 10% of the mass

The 95% CL upper limits on the production cross section times the branching fraction as a function of mA in the case of a gluon fusion production

The 95% CL upper limits on the production cross section times the branching fraction as a function of mA in the case of a gluon fusion production and an intrinsic width corresponding to 10% of the mass

Measurement of $m_{t}$ as a function of the number of jets with pT>30 GeV.

Measurement of $m_{t}$ as a function of the pT of the b jet assigned to the hadronic decay branch.

Measurement of $m_{t}$ as a function of the pseudorapidity of the b jet assigned to the hadronic decay branch.

Measurement of $m_{t}$ as a function of the $\Delta R$ between the b jets.

Measurement of $m_{t}$ as a function of the $\Delta R$ between the light-quark jets.

The combined $\sqrt{s}$ = 7 and 8 TeV measurements of $m_{t}$ for each of the top-antitop decay channels and the combined result.

Unfolded measurements of AFB in each M-|y| bin (e+e-).

Covariance matrix of Drell-Yan AFB in muon channel for |y|<1 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for |y|<1 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for |y|<1 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for |y|<1 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1<|y|<1.25 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1<|y|<1.25 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1<|y|<1.25 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1<|y|<1.25 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.25<|y|<1.5 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.25<|y|<1.5 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.25<|y|<1.5 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.25<|y|<1.5 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.5<|y|<2.4 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.5<|y|<2.4 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.5<|y|<2.4 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in muon channel for 1.5<|y|<2.4 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for |y|<1 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for |y|<1 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for |y|<1 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for |y|<1 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1<|y|<1.25 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1<|y|<1.25 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1<|y|<1.25 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1<|y|<1.25 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.25|y|<1.5 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.25|y|<1.5 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.25|y|<1.5 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.25|y|<1.5 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.5<|y|<2.4 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.5<|y|<2.4 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.5<|y|<2.4 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 1.5<|y|<2.4 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 2.4<|y|<5 for cos(theta)<0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 2.4<|y|<5 for cos(theta)<0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 2.4<|y|<5 for cos(theta)>0 and cos(theta)<0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Covariance matrix of Drell-Yan AFB in electron channel for 2.4<|y|<5 for cos(theta)>0 and cos(theta)>0. The covariance matrix is built in 2 dimensions, 14x14(mass) for cos(theta), --, -+, +-, ++ combination where + means positive cos(theta) and - implies the negative cos(theta).

Fig. 7. The 95% CL exclusion limit on $\sigma (pp \to H)\mathcal{B}(H \to \mu\mu\gamma)$, with $m_{\mu\mu}$ < 20 GeV, for a Higgs-like particle, as a function of the mass hypothesis, $m_{H}$.

For the tu$\gamma$ signal channel, the total number of observed selected events in the data (N$_{obs}$), the SM expectations (N$_{SM}$), the efficiencies ($\epsilon$), and the upper limits on the cross sections $\sigma_{fid}$ at the 95% CL in the fiducial region, without and with a requirement on the presence of a single accompanying b jet.

For the tc$\gamma$ signal channel, the total number of observed selected events in the data (N$_{obs}$), the SM expectations (N$_{SM}$), the efficiencies ($\epsilon$), and the upper limits on the cross sections $\sigma_{fid}$ at the 95% CL in the fiducial region, without and with a requirement on the presence of a single accompanying b jet.

Expected and observed measurements of the cross section and signal strength with 68% CL ranges and significances for t$\mathrm{\bar{t}}$W, in SS dilepton and 3$\ell$ channels.

Expected and observed measurements of the cross section and signal strength with 68% CL ranges and significances for t$\mathrm{\bar{t}}$Z, in OS dilepton, 3$\ell$, and 4$\ell$ channels.

Constraints from this t$\mathrm{\bar{t}}$Z and t$\mathrm{\bar{t}}$W measurement on selected dimension-six operators.

Distributions of the b-tagging efficiency as a function of the mistag rate of charm jets for pp collisions in a PYTHIA simulation.

Distributions of the b-tagging efficiency as a function of the mistag rate of light jets for pPb collisions in a PYTHIA+HIJING simulation.

Distributions of the b-tagging efficiency as a function of the mistag rate of charm jets for pPb collisions in a PYTHIA+HIJING simulation.

Distributions of the Secondary Vertex Mass after applying the SSV tagger selection.

b-jet cross-sections in pPb, scaled by the Glauber nuclear overlap function, as well as a b-jet cross-section from a PYTHIA simulation from -2.5 < eta_CM < -1.5.

b-jet cross-sections in pPb, scaled by the Glauber nuclear overlap function, as well as a b-jet cross-section from a PYTHIA simulation from -1.5 < eta_CM < -0.5 (x 10^2).

b-jet cross-sections in pPb, scaled by the Glauber nuclear overlap function, as well as a b-jet cross-section from a PYTHIA simulation from -0.5 < eta_CM < 0.5 (x10^4).

b-jet cross-sections in pPb, scaled by the Glauber nuclear overlap function, as well as a b-jet cross-section from a PYTHIA simulation from 0.5 < eta_CM < 1.5 (x10^6).

b-jet RpA (PYTHIA) from 0.5 < eta_CM < 1.5.

b-jet RpA (PYTHIA) from -0.5 < eta_CM < 0.5.

b-jet RpA (PYTHIA) from -1.5 < eta_CM < -0.5.

b-jet RpA (PYTHIA) from -2.5 < eta_CM < -1.5.

b-jet Fraction.

b-jet RpA(PYTHIA).

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\gamma\gamma}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of ||$y^{\gamma\gamma}$|| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $N_\rm{jets}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $p_\rm{T}^\rm{j1}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of |$y^{\gamma\gamma}-y^{\rm{j1}}$| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $m_\rm{jj}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \eta^{\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\gamma\gamma,\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of $\Delta \phi^{\rm{jj}}$ as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.

Values of the pp $\to$ H $\to \gamma\gamma$ differential cross sections as a function of |$\eta^{\gamma\gamma}-(\eta^{\rm{j1}}+\eta^{\rm{j2}})/2$| as measured in data. For each observable the fit to $m_{\gamma\gamma}$ is performed simultaneously in all the bins. Since the signal mass is profiled for each observable, the best fit $\hat{m}_{\rm{H}}$ varies from observable to observable.