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.

Two-dimensional distributions of the leading electron vs the leading muon $|d_{0}|$, for the events that pass the e$\mu$ preselection. Data events and $\tilde{t} \to b\ell$ signal events with a $\tilde{t}$ mass of 700 GeV and a proper decay length of 10 mm that correspond to 2018 data-taking conditions are shown. In each $|d_{0}|$-$|d_{0}|$ bin, the number of events divided by the bin area is plotted. The inclusive signal region covers the region between 100 $\mu$m and 10 cm in each $|d_{0}|$ variable shown.

Two-dimensional distributions of the leading vs the subleading electron $|d_0|$, for the events that pass the ee preselection. Data events and $\tilde{t} \to b\ell$ signal events with a $\tilde{t}$ mass of 700 GeV and a proper decay length of 10 mm that correspond to 2018 data-taking conditions are shown. In each $|d_{0}|$-$|d_{0}|$ bin, the number of events divided by the bin area is plotted. The inclusive signal region covers the region between 100 $\mu$m and 10 cm in each $|d_{0}|$ variable shown.

Two-dimensional distributions of the leading vs the subleading muon $|d_{0}|$, for the events that pass the $\mu\mu$ preselection. Data events and $\tilde{t} \to b\ell$ signal events with a $\tilde{t}$ mass of 700 GeV and a proper decay length of 10 mm that correspond to 2018 data-taking conditions are shown. In each $|d_{0}|$-$|d_{0}|$ bin, the number of events divided by the bin area is plotted. The inclusive signal region covers the region between 100 $\mu$m and 10 cm in each $|d_{0}|$ variable shown.

The number of observed and estimated background events in each channel and SR, with a representative signal overlaid. For each background estimate and signal yield, the total uncertainty (statistical plus systematic) is given. The distributions shown correspond to the events before the final maximum likelihood fit to the data.

The number of observed and estimated background events in each channel and SR in 2016, with a representative signal overlaid. For each background estimate and signal yield, the total uncertainty is given. The distributions shown correspond to the events before the final maximum likelihood fit to the data.

The number of observed and estimated background events in each channel and SR in 2017 and 2018, with a representative signal overlaid. For each background estimate and signal yield, the total uncertainty is given. The distributions shown correspond to the events before the final maximum likelihood fit to the data.

The observed 95% CL upper limits on the long-lived top squark production cross section, in the $c\tau_0$ -- mass plane, for the three channels combined. The $\tilde{t} \to b\ell $ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to b\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The observed 95% CL upper limits on the long-lived top squark production cross section, in the $c\tau_0$ -- mass plane, for the three channels combined. The $\tilde{t} \to d\ell$ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to d\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The observed 95% CL upper limits on the long-lived top squark production cross section, in the $c\tau_0$ -- mass plane, for the three channels combined. The $\tilde{t} \to b\ell $ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to b\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The observed 95% CL upper limits on the long-lived top squark production cross section, in the $c\tau_0$ -- mass plane, for the three channels combined. The $\tilde{t} \to d\ell$ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to d\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The 95% CL upper limits on the long-lived top squark proper decay length ($c\tau_0$) as a function of its mass, for the e$\mu$, ee, and $\mu\mu$ channels, and their combination. The $\tilde{t} \to b\ell $ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to b\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton.

The 95% CL upper limits on the long-lived top squark proper decay length ($c\tau_0$) as a function of its mass, for the e$\mu$, ee, and $\mu\mu$ channels, and their combination. The $\tilde{t} \to d\ell$ process is shown. These limits assume $\mathcal{B}(\tilde{t} \to d\ell)$ is 100%, and each lepton has an equal probability of being an electron, a muon, or a tau lepton.

The 95% CL constraints on the long-lived slepton $c\tau_{0}$ and mass. The $\tilde{\tau}$ and co-NLSP limits are shown for the three channels combined, while the $\tilde{e}$ and $\tilde{\mu}$ NLSP limits are shown for the ee and $\mu\mu$ channels, respectively. These limits assume that the superpartners of the left- and right-handed leptons are degenerate in mass and $\mathcal{B}(\tilde{\ell} \to \ell\tilde{G})$ is 100%. The area to the left of the solid curves represents the observed exclusion region, and the dashed lines indicate the expected limits.

The observed 95% CL upper limits on the long-lived slepton production cross section, in the $c\tau_0$ -- mass plane. The co-NLSP limits are shown for the three channels combined. These limits assume that the superpartners of the left- and right-handed leptons are degenerate in mass and $\mathcal{B}(\tilde{\ell} \to \ell\tilde{G})$ is 100%. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The observed 95% CL upper limits on the long-lived slepton production cross section, in the $c\tau_0$ -- mass plane. The co-NLSP limits are shown for the three channels combined. These limits assume that the superpartners of the left- and right-handed leptons are degenerate in mass and $\mathcal{B}(\tilde{\ell} \to \ell\tilde{G})$ is 100%. The area to the left of the black curve represents the observed exclusion region, and the dashed red lines indicate the expected limits and their 68% confidence intervals.

The 95% CL upper limits on the $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ branching fraction as a function of $c\tau_0$, for a Higgs boson with a mass of 125 GeV and a long-lived scalar with a mass of 30 GeV or 50 GeV, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curve represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ as a function of $c\tau_0$, for a 300 GeV Higgs boson and several long-lived scalar masses, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ as a function of $c\tau_0$, for a 400 GeV Higgs boson and several long-lived scalar masses, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ as a function of $c\tau_0$, for a 600 GeV Higgs boson and several long-lived scalar masses, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ as a function of $c\tau_0$, for a 800 GeV Higgs boson and several long-lived scalar masses, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S}, \mathrm{S} \to \ell^{+}\ell^{-}$ as a function of $c\tau_0$, for a 1000 GeV Higgs boson and several long-lived scalar masses, for the three channels combined. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons or two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ branching fraction as a function of $c\tau_0$, for a Higgs boson with a mass of 125 GeV and a long-lived scalar with a mass of 30 GeV or 50 GeV, for the ee channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons. The area above the solid (dashed) curve represents the observed (expected) exclusion region. The curves are not smooth because very few ee channel events pass the preselection for the Higgs boson and scalar masses shown in this figure.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ as a function of $c\tau_0$, for a 600 GeV Higgs boson and several long-lived scalar masses, for the ee channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ as a function of $c\tau_0$, for a 1000 GeV Higgs boson and several long-lived scalar masses, for the ee channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two electrons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ branching fraction as a function of $c\tau_0$, for a Higgs boson with a mass of 125 GeV and a long-lived scalar with a mass of 30 GeV or 50 GeV, for the $\mu\mu$ channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two muons. The area above the solid (dashed) curve represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ as a function of $c\tau_0$, for a 600 GeV Higgs boson and several long-lived scalar masses, for the $\mu\mu$ channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

The 95% CL upper limits on the product of the cross section and branching fraction $\mathrm{H} \to \mathrm{S}\mathrm{S} \to 4\ell$ as a function of $c\tau_0$, for a 1000 GeV Higgs boson and several long-lived scalar masses, for the $\mu\mu$ channel only. These limits assume that $\mathcal{B}(H \to SS)=100\%$ and each S has a 50% probability of decaying to two muons. The area above the solid (dashed) curves represents the observed (expected) exclusion region.

Exclusion limit for BrHZX_BrXee

Exclusion limit for BrHZX_BrXmumu

Exclusion limit for BrHZX_BrXll

Exclusion limit for cah

Exclusion limit for cZh

Exclusion limit for kappa

Simulated signal, total background, and observed data in the signal category with exactly 1 b jet and 4 or more jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the prefit version.

Simulated signal, total background, and observed data in the signal category with 2 or more b jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the prefit version.

Simulated signal, total background, and observed data in the signal category with exactly 1 b jet and 2-3 jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the postfit version.

Simulated signal, total background, and observed data in the signal category with exactly 1 b jet and 4 or more jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the postfit version.

Simulated signal, total background, and observed data in the signal category with 2 or more b jets for the three data-taking years combined. For the uncertainty on the signal and background, both the total (systematic+statistical) and statistical uncertainties are provided. The uncertainty on the data is the (statistical) Poisson uncertainty. Note that this is the postfit version.

Absolute differential cross sections as a function of the transverse momentum of the Z boson candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the Z boson candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the Z boson candidate at parton level.

Absolute differential cross sections as a function of the transverse momentum of the Z boson candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the Z boson candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the Z boson candidate at particle level.

Absolute differential cross sections as a function of the transverse momentum of the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the recoiling jet at particle level.

Absolute differential cross sections as a function of the absolute pseudorapidity of the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the absolute pseudorapidity of the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the absolute pseudorapidity of the recoiling jet at particle level.

Absolute differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at parton level.

Absolute differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at particle level.

Absolute differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at parton level.

Absolute differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at particle level.

Absolute differential cross sections as a function of the invariant mass of the three-lepton system at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the three-lepton system at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the three-lepton system at parton level.

Absolute differential cross sections as a function of the invariant mass of the three-lepton system at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the three-lepton system at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the three-lepton system at particle level.

Absolute differential cross sections as a function of the transverse momentum of the top candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the top candidate at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the top candidate at parton level.

Absolute differential cross sections as a function of the transverse momentum of the top candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the top candidate at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the transverse momentum of the top candidate at particle level.

Absolute differential cross sections as a function of the invariant mass of the top-Z system at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the top-Z system at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the top-Z system at parton level.

Absolute differential cross sections as a function of the invariant mass of the top-Z system at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the top-Z system at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the invariant mass of the top-Z system at particle level.

Absolute differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the spectator quark at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the spectator quark at parton level.

Covariance matrix for the measurement of the differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the spectator quark at parton level.

Absolute differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the recoiling jet at particle level.

Covariance matrix for the measurement of the differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the recoiling jet at particle level.

Normalized differential cross sections as a function of the transverse momentum of the Z boson candidate at parton level.

Normalized differential cross sections as a function of the transverse momentum of the Z boson candidate at particle level.

Normalized differential cross sections as a function of the transverse momentum of the recoiling jet at parton level.

Normalized differential cross sections as a function of the absolute pseudorapidity of the recoiling jet at particle level.

Normalized differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at parton level.

Normalized differential cross sections as a function of the difference in azimuthal angle of the leptons, associated to the Z boson candidate at particle level.

Normalized differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at parton level.

Normalized differential cross sections as a function of the transverse momentum of the leptons, associated to the top candidate at particle level.

Normalized differential cross sections as a function of the invariant mass of the three-lepton system at parton level.

Normalized differential cross sections as a function of the invariant mass of the three-lepton system at particle level.

Normalized differential cross sections as a function of the transverse momentum of the top candidate at parton level.

Normalized differential cross sections as a function of the transverse momentum of the top candidate at particle level.

Normalized differential cross sections as a function of the invariant mass of the top-Z system at parton level.

Normalized differential cross sections as a function of the invariant mass of the top-Z system at particle level.

Normalized differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the spectator quark at parton level.

Normalized differential cross sections as a function of the cosine of the top polarization angle, measured in respect to the recoiling jet at particle level.

Likelihood scan of the top quark spin asymmetry.

Upper limits on the production cross section times branching fraction of the b* RH hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the b* VL hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the B+b hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

Upper limits on the production cross section times branching fraction of the B+t hypothesis at a 95% CL. Dashed colored lines show the expected limits from the l+jets and all-hadronic channels, where the latter start at resonance masses of 1.4 TeV. The observed and expected limits from the combination are shown as solid and dashed black lines, respectively. The green and yellow bands show the 68 and 95% confidence intervals on the combined expected limits.

The inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ measured in $1.5 < |y| < 2.0$ for jets clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ measured in $|y| < 0.5$ for jets clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$.

The inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ measured in $0.5 < |y| < 1.0$ for jets clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$.

The inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ measured in $1.0 < |y| < 1.5$ for jets clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$.

The inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ measured in $1.5 < |y| < 2.0$ for jets clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $|y| < 0.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $0.5 < |y| < 1.0$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.0 < |y| < 1.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The correlation matrix at the particle level of inclusive jet production cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets in $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used to perform the unfolding.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The corrections were calculated by Dittmaier, Huss, Speckner.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

The values correspond to the average of the corrections obtained with \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++.

SR1 diboson invariant mass distribution in the resolved tagged category after fitting the signal and sideband regions using a signal (ALP linear ZZ) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the boosted untagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the boosted tagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV.

SR2 diboson invariant mass distribution in the resolved untagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

SR2 diboson invariant mass distribution in the resolved tagged category after fitting the signal and sideband regions using a signal (ALP chiral ZH) plus background model. The last bin includes events with diboson invariant masses up to 3000 GeV. The signal is normalized to the 95% CL cross section limit at $f_a$ = 3 TeV (the scale factor used in the original figure for better visibility is not applied here).

Observed and expected 95% CL upper limit on $\sigma \mathcal{B}$(G -> ZZ) as a function of the resonance mass, taking into account all statistical and systematic uncertainties. The electron and muon channels and the various categories used in the analysis are combined. The inner green band and the outer yellow band represent the 68 and 95% coverage of the expected limits in the background-only hypothesis.

Observed and expected 95% CL upper limit on $\sigma \mathcal{B}$(W' -> ZW) as a function of the resonance mass, taking into account all statistical and systematic uncertainties. The electron and muon channels and the various categories used in the analysis are combined. The inner green band and the outer yellow band represent the 68 and 95% coverage of the expected limits in the background-only hypothesis.

Observed and expected 95% CL upper limit on the product of the ALP coupling to gluons and the coupling to Z bosons as a function of the mass scale $f_a$ for ALP masses smaller than 100 GeV.

Observed and expected 95% CL upper limit on the product of the ALP coupling to gluons and the chiral $a_\widetilde{2D}$ coupling as a function of the mass scale $f_a$ for ALP masses smaller than 100 GeV.

The $m_{lJ}$ distribution in the boosted DY control region, muon channel.

The $m_{lljj}$ distribution in the resolved flavor control region.

The $m_{lJ}$ distribution in the boosted flavor control region, with electron jet.

The $m_{lJ}$ distribution in the boosted flavor control region, with muon jet

The $m_{lljj}$ distribution in the resolved signal region, electron channel.

The $m_{lljj}$ distribution in the resolved signal region, muon channel.

The $m_{lJ}$ distribution in the boosted signal region, electron channel.

The $m_{lJ}$ distribution in the boosted signal region, muon channel.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = m_{W_{R}}/2$ GeV in the electron channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = m_{W_{R}}/2$ GeV in the muon channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = 200$ GeV in the electron channel. The red solid lines represent the values expected from the theory.

The expected and observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ for $m_{N} = 200$ GeV in the muon channel. The red solid lines represent the values expected from the theory.

The observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ divided by the theory cross sections in the electron channel. The observed exclusions are shown for the resolved (solid green), boosted (solid blue), and combined (solid black) channels, along with the expected exclusion for the combined result (dotted black). The dash-dotted lines represent the one standard deviation of the expected exclusion. The observed exclusions from the previous search performed by the CMS Collaboration (arXiv:1803.11116) is also shown in magenta.

The observed $95\%$ CL upper limits on the production cross section times the branching fraction $\sigma (\mathrm{p}\mathrm{p} \rightarrow W_{R}) \mathcal{B}(W_{R} \rightarrow \mathrm{e}\mathrm{e}\mathrm{q}\overline{\mathrm{q}'})$ divided by the theory cross sections in the muon channel. The observed exclusions are shown for the resolved (solid green), boosted (solid blue), and combined (solid black) channels, along with the expected exclusion for the combined result (dotted black). The dash-dotted lines represent the one standard deviation of the expected exclusion. The observed exclusions from the previous search performed by the CMS Collaboration (arXiv:1803.11116) is also shown in magenta.

Relative uncertainties in the total yields of the signal and background predictions.

Covariance matrix for all bins used in the background-only fit of the electron channel of this analysis. There are 243 bins in total, 81 for every data-taking year. For every year, each region has nine bins and the bins are grouped by rergion in the following order: ee boosted DY CR, #mu-jet flavor CR, ee resolved DY CR, resolved flavor CR, ee boosted SR, ee resolved SR, #mu#mu boosted DY CR, e-jet flavor CR, and #mu#mu resolved DY CR.

Covariance matrix for all bins used in the background-only fit of the muon channel of this analysis. There are 243 bins in total, 81 for every data-taking year. For every year, each region has nine bins and the bins are grouped by rergion in the following order: ee boosted DY CR, #mu-jet flavor CR, ee resolved DY CR, #mu#mu boosted DY CR, e-jet flavor CR, $#mu#mu$ resolved DY CR, resolved flavor CR, #mu#mu boosted SR, and the #mu#mu resolved SR.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2016 data-taking period, corresponding to $35.9\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dielectron channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $m_{W_{R}} = 0.3$, 0.4, and 0.5 TeV and $m_{N} = 0.2$ TeV signal hypotheses for the boosted , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (3.0,1.4)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (4.0,2.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Predicted signal yields for the 2018 data-taking period, corresponding to $59.7\,\text{fb}^{-1}$, after the application of each search requirement for the $(m_{W_{R}},m_{N}) = (5.0,3.0)$ TeV signal hypothesis for the resolved , dimuon channel.The requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements.

Cross sections calculated to next-to-leading (NLO) accuracy