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.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted ratio of cross sections for inclusive isolated-photon production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $|\eta^{\gamma}|<0.6$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $0.6<|\eta^{\gamma}|<1.37$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.56<|\eta^{\gamma}|<1.81$.

Measured double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Predicted double ratio of cross sections for inclusive isolated-photon production and Z-boson production as a function of $E_{\rm T}^{\gamma}$ for $1.81<|\eta^{\gamma}|<2.37$.

Dijet mass distribution for the b-tagged category. Data, estimated background and uncertainties are shown. Events are collected using the combined trigger and contain a $E_T^{\gamma} > 95$ GeV photon and two $p_T^{jet} > 65$ GeV jets.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the flavour-inclusive category and masses below 450 GeV, for which the single-photon trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the flavour-inclusive category and masses above 450 GeV, for which the combined trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the b-tagged category and masses below 450 GeV, for which the single-photon trigger was used.

Upper limits on Gaussian-shape contributions to the dijet mass distributions from the b-tagged category and masses above 450 GeV, for which the combined trigger was used.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the flavour-inclusive category using the single-photon trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the flavour-inclusive category using the combined trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the b-tagged category using the single-photon trigger.

Kinematic acceptance values predicted for the $Z'$ model as a function of mass $m_{Z'}$ for the b-tagged category using the combined trigger.

Reconstruction efficiency for $Z'$ model, flavour inclusive category, single-photon trigger.

Reconstruction efficiency for $Z'$ model, flavour inclusive category, combined trigger.

Reconstruction efficiency for $Z'$ model, b-tagged category, single-photon trigger.

Reconstruction efficiency for $Z'$ model, b-tagged category, combined trigger.

Sequential impact of each requirement on the number of events passing the selection for the high-$E_T$ analysis.

Sequential impact of each requirement on the number of events passing the selection for the low-$E_T$ analysis.

Application of the modified ABCD method to the final high-$E_T$ and low-$E_T$ selections.

The extrapolated signal efficiencies as a function of proper decay length of the $s$ for several simulated samples in the low-$E_T$ selections.

The extrapolated signal efficiencies as a function of proper decay length of the $s$ for several simulated samples in the high-$E_T$ selections.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 5 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 15 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 40 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 55 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 100 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.

The observed limits, expected limits and $\pm 1 \sigma$ and $\pm 2 \sigma$ bands for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 400 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 5 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 15 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 125 ~\mathrm{GeV}$ and $m_{s} = 40 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 8 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 25 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 200 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 400 ~\mathrm{GeV}$ and $m_{s} = 100 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 600 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 50 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 150 ~\mathrm{GeV}$.

Combined limits for the CalRatio and MS analyses, for a model with $m_{\phi} = 1000 ~\mathrm{GeV}$ and $m_{s} = 400 ~\mathrm{GeV}$.

Figure 6a, Normalised differential D2 distribution for soft-drop groomed jets, Dijet selection

Figure 7a, Normalised differential ECF2 distribution for soft-drop groomed jets, Dijet selection

Figure 8a, Normalised differential ECF3 distribution for soft-drop groomed jets, Dijet selection

Figure 3b, Normalised differential Nsubjets distribution for soft-drop groomed jets, Top selection

Figure 4b, Normalised differential LHA distribution for soft-drop groomed jets, Top selection

Figure 5b, Normalised differential C2 distribution for soft-drop groomed jets, Top selection

Figure 6b, Normalised differential D2 distribution for soft-drop groomed jets, Top selection

Figure 7b, Normalised differential ECF2 distribution for soft-drop groomed jets, Top selection

Figure 8b, Normalised differential ECF3 distribution for soft-drop groomed jets, Top selection

Figure 9a, Normalised differential Tau21 distribution for soft-drop groomed jets, Top selection

Figure 9b, Normalised differential Tau32 distribution for soft-drop groomed jets, Top selection

Figure 3c, Normalised differential Nsubjets distribution for soft-drop groomed jets, W selection

Figure 4c, Normalised differential LHA distribution for soft-drop groomed jets, W selection

Figure 5c, Normalised differential C2 distribution for soft-drop groomed jets, W selection

Figure 6c, Normalised differential D2 distribution for soft-drop groomed jets, W selection

Figure 7c, Normalised differential ECF2 distribution for soft-drop groomed jets, W selection

Figure 8c, Normalised differential ECF3 distribution for soft-drop groomed jets, W selection

Figure 9c, Normalised differential Tau21 distribution for soft-drop groomed jets, W selection

Figure 9d, Normalised differential Tau32 distribution for soft-drop groomed jets, W selection

Normalised differential Nsubjets distribution for trimmed jets, Dijet selection

Normalised differential LHA distribution for trimmed jets, Dijet selection

Normalised differential C2 distribution for trimmed jets, Dijet selection

Normalised differential D2 distribution for trimmed jets, Dijet selection

Normalised differential ECF2 distribution for trimmed jets, Dijet selection

Normalised differential ECF3 distribution for trimmed jets, Dijet selection

Normalised differential Nsubjets distribution for trimmed jets, Top selection

Normalised differential LHA distribution for trimmed jets, Top selection

Normalised differential C2 distribution for trimmed jets, Top selection

Normalised differential D2 distribution for trimmed jets, Top selection

Normalised differential ECF2 distribution for trimmed jets, Top selection

Normalised differential ECF3 distribution for trimmed jets, Top selection

Normalised differential Tau21 distribution for trimmed jets, Top selection

Normalised differential Tau32 distribution for trimmed jets, Top selection

Normalised differential Nsubjets distribution for trimmed jets, W selection

Normalised differential LHA distribution for trimmed jets, W selection

Normalised differential C2 distribution for trimmed jets, W selection

Normalised differential D2 distribution for trimmed jets, W selection

Normalised differential ECF2 distribution for trimmed jets, W selection

Normalised differential ECF3 distribution for trimmed jets, W selection

Normalised differential Tau21 distribution for trimmed jets, W selection

Normalised differential Tau32 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for soft-drop groomed jets, Top selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential LHA distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential C2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential D2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for soft-drop groomed jets, W selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, Dijet selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for trimmed jets, Top selection

Statistical correlation between bins in data for the normalised differential Nsubjets distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential LHA distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential C2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential D2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF2 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential ECF3 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau21 distribution for trimmed jets, W selection

Statistical correlation between bins in data for the normalised differential Tau32 distribution for trimmed jets, W selection

Distribution of the dimuon invariant mass for events passing the full selection.

Distribution of the dimuon invariant mass for events passing the full selection.

Distribution of the dimuon invariant mass for events passing the full selection.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the combined dilepton channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dielectron channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Expected upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Observed upper limits at 95% CL on the fiducial cross-section times branching ratio as a function of pole mass for the zero-width, 0.5%, 1.2%, 3%, 6% and 10% relative width signals for the dimuon channel.

Ratio of the observed limit to the Z'$_\mathrm{SSM}$ cross-section for the combination of the dielectron and dimuon channels. A number of previous ATLAS results at $\sqrt{s}$ = 7, 8, and 13 TeV are compared to the current search.

Ratio of the observed limit to the Z'$_\mathrm{SSM}$ cross-section for the combination of the dielectron and dimuon channels. A number of previous ATLAS results at $\sqrt{s}$ = 7, 8, and 13 TeV are compared to the current search.

Ratio of the observed limit to the Z'$_\mathrm{SSM}$ cross-section for the combination of the dielectron and dimuon channels. A number of previous ATLAS results at $\sqrt{s}$ = 7, 8, and 13 TeV are compared to the current search.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Observed 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_h,g_f\}$ with $g_f\equiv g_l=g_q$ for a resonance mass of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 3 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 4 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Expected 95% exclusion contours in the HVT parameter space $\{g_q,g_l\}$ with $g_h$ set to zero for a resonance masses of 5 TeV for the dilepton channel. The area outside the curves is excluded.

Dielectron and dimuon selection efficiency as a function of pole mass for spin-0, spin-1 and spin-2 resonances. Drell-Yan MC samples are used for the spin-1 efficiencies and correspond to the zero-width signal hypothesis. Spin-0 (spin-2) efficiencies are obtained from dedicated MC samples with relative widths in the range of 0-20% (1-13%) and are averaged over all available width assumptions.

Dielectron and dimuon selection efficiency as a function of pole mass for spin-0, spin-1 and spin-2 resonances. Drell-Yan MC samples are used for the spin-1 efficiencies and correspond to the zero-width signal hypothesis. Spin-0 (spin-2) efficiencies are obtained from dedicated MC samples with relative widths in the range of 0-20% (1-13%) and are averaged over all available width assumptions.

Dielectron and dimuon selection efficiency as a function of pole mass for spin-0, spin-1 and spin-2 resonances. Drell-Yan MC samples are used for the spin-1 efficiencies and correspond to the zero-width signal hypothesis. Spin-0 (spin-2) efficiencies are obtained from dedicated MC samples with relative widths in the range of 0-20% (1-13%) and are averaged over all available width assumptions.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dielectron channel.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dielectron channel.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dielectron channel.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dimuon channel.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dimuon channel.

Description of the $m_{\ell\ell}^{\mathrm{true}}$-dependence for the seven relative mass resolution parameters in the dimuon channel.

Et distribution

NchRec distribution

v_2{2}, 3-subevent, 0.5<pT<5.0 GeV

v_2{2}, 3-subevent, 1.0<pT<5.0 GeV

v_2{2}, 3-subevent, 1.5<pT<5.0 GeV

v_2{2}, 3-subevent, 2.0<pT<5.0 GeV

v_3{2}, 3-subevent, 0.5<pT<5.0 GeV

v_3{2}, 3-subevent, 1.0<pT<5.0 GeV

v_3{2}, 3-subevent, 1.5<pT<5.0 GeV

v_3{2}, 3-subevent, 2.0<pT<5.0 GeV

v_4{2}, 3-subevent, 0.5<pT<5.0 GeV

v_4{2}, 3-subevent, 1.0<pT<5.0 GeV

v_4{2}, 3-subevent, 1.5<pT<5.0 GeV

v_4{2}, 3-subevent, 2.0<pT<5.0 GeV

nc_2{4}, standard, 0.5<pT<5.0 GeV

nc_2{4}, standard, 1.0<pT<5.0 GeV

nc_2{4}, standard, 1.5<pT<5.0 GeV

nc_2{4}, standard, 2.0<pT<5.0 GeV

nc_3{4}, standard, 0.5<pT<5.0 GeV

nc_3{4}, standard, 1.0<pT<5.0 GeV

nc_3{4}, standard, 1.5<pT<5.0 GeV

nc_3{4}, standard, 2.0<pT<5.0 GeV

nc_4{4}, standard, 0.5<pT<5.0 GeV

nc_4{4}, standard, 1.0<pT<5.0 GeV

nc_4{4}, standard, 1.5<pT<5.0 GeV

nc_4{4}, standard, 2.0<pT<5.0 GeV

nc_2{4}, 3-subevent, 0.5<pT<5.0 GeV

nc_2{4}, 3-subevent, 1.0<pT<5.0 GeV

nc_2{4}, 3-subevent, 1.5<pT<5.0 GeV

nc_2{4}, 3-subevent, 2.0<pT<5.0 GeV

nc_3{4}, 3-subevent, 0.5<pT<5.0 GeV

nc_3{4}, 3-subevent, 1.0<pT<5.0 GeV

nc_3{4}, 3-subevent, 1.5<pT<5.0 GeV

nc_3{4}, 3-subevent, 2.0<pT<5.0 GeV

nc_4{4}, 3-subevent, 0.5<pT<5.0 GeV

nc_4{4}, 3-subevent, 1.0<pT<5.0 GeV

nc_4{4}, 3-subevent, 1.5<pT<5.0 GeV

nc_4{4}, 3-subevent, 2.0<pT<5.0 GeV

v_2{4} / v_2{2}, standard, 0.5<pT<5.0 GeV

v_2{4} / v_2{2}, standard, 1.0<pT<5.0 GeV

v_2{4} / v_2{2}, standard, 1.5<pT<5.0 GeV

v_2{4} / v_2{2}, standard, 2.0<pT<5.0 GeV

v_3{4} / v_3{2}, standard, 0.5<pT<5.0 GeV

v_3{4} / v_3{2}, standard, 1.0<pT<5.0 GeV

v_3{4} / v_3{2}, standard, 1.5<pT<5.0 GeV

v_3{4} / v_3{2}, standard, 2.0<pT<5.0 GeV

v_4{4} / v_4{2}, standard, 0.5<pT<5.0 GeV

v_4{4} / v_4{2}, standard, 1.0<pT<5.0 GeV

v_4{4} / v_4{2}, standard, 1.5<pT<5.0 GeV

v_4{4} / v_4{2}, standard, 2.0<pT<5.0 GeV

nc_2{6}, standard, 0.5<pT<5.0 GeV

nc_2{6}, standard, 1.0<pT<5.0 GeV

nc_2{6}, standard, 1.5<pT<5.0 GeV

nc_2{6}, standard, 2.0<pT<5.0 GeV

nc_3{6}, standard, 0.5<pT<5.0 GeV

nc_3{6}, standard, 1.0<pT<5.0 GeV

nc_3{6}, standard, 1.5<pT<5.0 GeV

nc_3{6}, standard, 2.0<pT<5.0 GeV

nc_4{6}, standard, 0.5<pT<5.0 GeV

nc_4{6}, standard, 1.0<pT<5.0 GeV

nc_4{6}, standard, 1.5<pT<5.0 GeV

nc_4{6}, standard, 2.0<pT<5.0 GeV

v_2{6} / v_2{4}, standard, 0.5<pT<5.0 GeV

v_2{6} / v_2{4}, standard, 1.0<pT<5.0 GeV

v_2{6} / v_2{4}, standard, 1.5<pT<5.0 GeV

v_2{6} / v_2{4}, standard, 2.0<pT<5.0 GeV

c_1{4}, standard, 0.5<pT<5.0 GeV

c_1{4}, standard, 1.0<pT<5.0 GeV

c_1{4}, standard, 1.5<pT<5.0 GeV

c_1{4}, standard, 2.0<pT<5.0 GeV

c_1{4}, 3-subevent, 0.5<pT<5.0 GeV

c_1{4}, 3-subevent, 1.0<pT<5.0 GeV

c_1{4}, 3-subevent, 1.5<pT<5.0 GeV

c_1{4}, 3-subevent, 2.0<pT<5.0 GeV

v_1{4}, standard, 1.5<pT<5.0 GeV

v_1{4}, standard, 2.0<pT<5.0 GeV

v_1{4}, 3-subevent, 1.5<pT<5.0 GeV

v_1{4}, 3-subevent, 2.0<pT<5.0 GeV

nsc_2_3{4}, standard, 0.5<pT<5.0 GeV

nsc_2_3{4}, standard, 1.0<pT<5.0 GeV

nsc_2_3{4}, standard, 1.5<pT<5.0 GeV

nsc_2_3{4}, standard, 2.0<pT<5.0 GeV

nsc_2_3{4}, 3-subevent, 0.5<pT<5.0 GeV

nsc_2_3{4}, 3-subevent, 1.0<pT<5.0 GeV

nsc_2_3{4}, 3-subevent, 1.5<pT<5.0 GeV

nsc_2_3{4}, 3-subevent, 2.0<pT<5.0 GeV

nsc_2_4{4}, standard, 0.5<pT<5.0 GeV

nsc_2_4{4}, standard, 1.0<pT<5.0 GeV

nsc_2_4{4}, standard, 1.5<pT<5.0 GeV

nsc_2_4{4}, standard, 2.0<pT<5.0 GeV

nsc_2_4{4}, 3-subevent, 0.5<pT<5.0 GeV

nsc_2_4{4}, 3-subevent, 1.0<pT<5.0 GeV

nsc_2_4{4}, 3-subevent, 1.5<pT<5.0 GeV

nsc_2_4{4}, 3-subevent, 2.0<pT<5.0 GeV

nac_2{3}, standard, 0.5<pT<5.0 GeV

nac_2{3}, standard, 1.0<pT<5.0 GeV

nac_2{3}, standard, 1.5<pT<5.0 GeV

nac_2{3}, standard, 2.0<pT<5.0 GeV

nac_2{3}, 3-subevent, 0.5<pT<5.0 GeV

nac_2{3}, 3-subevent, 1.0<pT<5.0 GeV

nac_2{3}, 3-subevent, 1.5<pT<5.0 GeV

nac_2{3}, 3-subevent, 2.0<pT<5.0 GeV

v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_2{2, Et}, 3-subevent, 1.0<pT<5.0 GeV

v_2{2, Et}, 3-subevent, 1.5<pT<5.0 GeV

v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_3{2, Et}, 3-subevent, 1.0<pT<5.0 GeV

v_3{2, Et}, 3-subevent, 1.5<pT<5.0 GeV

v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_4{2, Et}, 3-subevent, 1.0<pT<5.0 GeV

v_4{2, Et}, 3-subevent, 1.5<pT<5.0 GeV

v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_2{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV

v_2{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV

v_2{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV

v_2{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV

v_3{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV

v_3{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV

v_3{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV

v_3{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV

v_4{2, Nch}, 3-subevent, 0.5<pT<5.0 GeV

v_4{2, Nch}, 3-subevent, 1.0<pT<5.0 GeV

v_4{2, Nch}, 3-subevent, 1.5<pT<5.0 GeV

v_4{2, Nch}, 3-subevent, 2.0<pT<5.0 GeV

v_2{2, Nch} / v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_2{2, Nch} / v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_3{2, Nch} / v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_3{2, Nch} / v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_4{2, Nch} / v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_4{2, Nch} / v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_2{2, Nch} / v_2{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_2{2, Nch} / v_2{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_3{2, Nch} / v_3{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_3{2, Nch} / v_3{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

v_4{2, Nch} / v_4{2, Et}, 3-subevent, 0.5<pT<5.0 GeV

v_4{2, Nch} / v_4{2, Et}, 3-subevent, 2.0<pT<5.0 GeV

nc_2{4, Et}, standard, 0.5<pT<5.0 GeV

nc_2{4, Et}, standard, 1.0<pT<5.0 GeV

nc_2{4, Et}, standard, 1.5<pT<5.0 GeV

nc_2{4, Et}, standard, 2.0<pT<5.0 GeV

nc_3{4, Et}, standard, 0.5<pT<5.0 GeV

nc_3{4, Et}, standard, 1.0<pT<5.0 GeV

nc_3{4, Et}, standard, 1.5<pT<5.0 GeV

nc_3{4, Et}, standard, 2.0<pT<5.0 GeV

nc_4{4, Et}, standard, 0.5<pT<5.0 GeV

nc_4{4, Et}, standard, 1.0<pT<5.0 GeV

nc_4{4, Et}, standard, 1.5<pT<5.0 GeV

nc_4{4, Et}, standard, 2.0<pT<5.0 GeV

nc_2{4, Nch}, standard, 0.5<pT<5.0 GeV

nc_2{4, Nch}, standard, 1.0<pT<5.0 GeV

nc_2{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_2{4, Nch}, standard, 2.0<pT<5.0 GeV

nc_3{4, Nch}, standard, 0.5<pT<5.0 GeV

nc_3{4, Nch}, standard, 1.0<pT<5.0 GeV

nc_3{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_3{4, Nch}, standard, 2.0<pT<5.0 GeV

nc_4{4, Nch}, standard, 0.5<pT<5.0 GeV

nc_4{4, Nch}, standard, 1.0<pT<5.0 GeV

nc_4{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_4{4, Nch}, standard, 2.0<pT<5.0 GeV

nc_2{4, Et}, standard, 1.5<pT<5.0 GeV

nc_2{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_3{4, Et}, standard, 1.5<pT<5.0 GeV

nc_3{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_4{4, Et}, standard, 1.5<pT<5.0 GeV

nc_4{4, Nch}, standard, 1.5<pT<5.0 GeV

nc_2{6, Et}, standard, 0.5<pT<5.0 GeV

nc_2{6, Et}, standard, 1.0<pT<5.0 GeV

nc_2{6, Et}, standard, 1.5<pT<5.0 GeV

nc_2{6, Et}, standard, 2.0<pT<5.0 GeV

nc_2{6, Nch}, standard, 0.5<pT<5.0 GeV

nc_2{6, Nch}, standard, 1.0<pT<5.0 GeV

nc_2{6, Nch}, standard, 1.5<pT<5.0 GeV

nc_2{6, Nch}, standard, 2.0<pT<5.0 GeV

nc_2{6, Et}, standard, 1.5<pT<5.0 GeV

nc_2{6, Nch}, standard, 1.5<pT<5.0 GeV

v_2{6, Et} / v_2{4, Et}, standard, 0.5<pT<5.0 GeV

v_2{6, Et} / v_2{4, Et}, standard, 1.0<pT<5.0 GeV

v_2{6, Et} / v_2{4, Et}, standard, 1.5<pT<5.0 GeV

v_2{6, Et} / v_2{4, Et}, standard, 2.0<pT<5.0 GeV

v_2{6, Nch} / v_2{4, Nch}, standard, 0.5<pT<5.0 GeV

v_2{6, Nch} / v_2{4, Nch}, standard, 1.0<pT<5.0 GeV

v_2{6, Nch} / v_2{4, Nch}, standard, 1.5<pT<5.0 GeV

v_2{6, Nch} / v_2{4, Nch}, standard, 2.0<pT<5.0 GeV

nsc_2_3{4, Et}, standard, 0.5<pT<5.0 GeV

nsc_2_3{4, Et}, standard, 1.0<pT<5.0 GeV

nsc_2_3{4, Et}, standard, 1.5<pT<5.0 GeV

nsc_2_3{4, Et}, standard, 2.0<pT<5.0 GeV

nsc_2_4{4, Et}, standard, 0.5<pT<5.0 GeV

nsc_2_4{4, Et}, standard, 1.0<pT<5.0 GeV

nsc_2_4{4, Et}, standard, 1.5<pT<5.0 GeV

nsc_2_4{4, Et}, standard, 2.0<pT<5.0 GeV

nac_2{3, Et}, standard, 0.5<pT<5.0 GeV

nac_2{3, Et}, standard, 1.0<pT<5.0 GeV

nac_2{3, Et}, standard, 1.5<pT<5.0 GeV

nac_2{3, Et}, standard, 2.0<pT<5.0 GeV

nsc_2_3{4, Nch}, standard, 0.5<pT<5.0 GeV

nsc_2_3{4, Nch}, standard, 1.0<pT<5.0 GeV

nsc_2_3{4, Nch}, standard, 1.5<pT<5.0 GeV

nsc_2_3{4, Nch}, standard, 2.0<pT<5.0 GeV

nsc_2_4{4, Nch}, standard, 0.5<pT<5.0 GeV

nsc_2_4{4, Nch}, standard, 1.0<pT<5.0 GeV

nsc_2_4{4, Nch}, standard, 1.5<pT<5.0 GeV

nsc_2_4{4, Nch}, standard, 2.0<pT<5.0 GeV

nac_2{3, Nch}, standard, 0.5<pT<5.0 GeV

nac_2{3, Nch}, standard, 1.0<pT<5.0 GeV

nac_2{3, Nch}, standard, 1.5<pT<5.0 GeV

nac_2{3, Nch}, standard, 2.0<pT<5.0 GeV

nsc_2_3{4, Et}, standard, 1.5<pT<5.0 GeV

nsc_2_3{4, Nch}, standard, 1.5<pT<5.0 GeV

nsc_2_4{4, Et}, standard, 1.5<pT<5.0 GeV

nsc_2_4{4, Nch}, standard, 1.5<pT<5.0 GeV

nac_2{3, Et}, standard, 1.5<pT<5.0 GeV

nac_2{3, Nch}, standard, 1.5<pT<5.0 GeV

v_2{4}, standard, 0.5<pT<5.0 GeV

v_2{4}, standard, 1.0<pT<5.0 GeV

v_2{4}, standard, 1.5<pT<5.0 GeV

v_2{4}, standard, 2.0<pT<5.0 GeV

v_2{4, Et}, standard, 0.5<pT<5.0 GeV

v_2{4, Et}, standard, 1.0<pT<5.0 GeV

v_2{4, Et}, standard, 1.5<pT<5.0 GeV

v_2{4, Et}, standard, 2.0<pT<5.0 GeV

v_2{4, Nch}, standard, 0.5<pT<5.0 GeV

v_2{4, Nch}, standard, 1.0<pT<5.0 GeV

v_2{4, Nch}, standard, 1.5<pT<5.0 GeV

v_2{4, Nch}, standard, 2.0<pT<5.0 GeV

v_3{4}, standard, 0.5<pT<5.0 GeV

v_3{4}, standard, 1.0<pT<5.0 GeV

v_3{4}, standard, 1.5<pT<5.0 GeV

v_3{4}, standard, 2.0<pT<5.0 GeV

v_3{4, Et}, standard, 0.5<pT<5.0 GeV

v_3{4, Et}, standard, 1.0<pT<5.0 GeV

v_3{4, Et}, standard, 1.5<pT<5.0 GeV

v_3{4, Et}, standard, 2.0<pT<5.0 GeV

v_3{4, Nch}, standard, 0.5<pT<5.0 GeV

v_3{4, Nch}, standard, 1.0<pT<5.0 GeV

v_3{4, Nch}, standard, 1.5<pT<5.0 GeV

v_3{4, Nch}, standard, 2.0<pT<5.0 GeV

v_4{4}, standard, 0.5<pT<5.0 GeV

v_4{4}, standard, 1.0<pT<5.0 GeV

v_4{4}, standard, 1.5<pT<5.0 GeV

v_4{4}, standard, 2.0<pT<5.0 GeV

v_4{4, Et}, standard, 0.5<pT<5.0 GeV

v_4{4, Et}, standard, 1.0<pT<5.0 GeV

v_4{4, Et}, standard, 1.5<pT<5.0 GeV

v_4{4, Et}, standard, 2.0<pT<5.0 GeV

v_4{4, Nch}, standard, 0.5<pT<5.0 GeV

v_4{4, Nch}, standard, 1.0<pT<5.0 GeV

v_4{4, Nch}, standard, 1.5<pT<5.0 GeV

v_4{4, Nch}, standard, 2.0<pT<5.0 GeV

v_2{6}, standard, 0.5<pT<5.0 GeV

v_2{6}, standard, 1.0<pT<5.0 GeV

v_2{6}, standard, 1.5<pT<5.0 GeV

v_2{6}, standard, 2.0<pT<5.0 GeV

v_2{6, Et}, standard, 0.5<pT<5.0 GeV

v_2{6, Et}, standard, 1.0<pT<5.0 GeV

v_2{6, Et}, standard, 1.5<pT<5.0 GeV

v_2{6, Et}, standard, 2.0<pT<5.0 GeV

v_2{6, Nch}, standard, 0.5<pT<5.0 GeV

v_2{6, Nch}, standard, 1.0<pT<5.0 GeV

v_2{6, Nch}, standard, 1.5<pT<5.0 GeV

v_2{6, Nch}, standard, 2.0<pT<5.0 GeV

sc_2_3{4}, standard, 0.5<pT<5.0 GeV

sc_2_3{4}, standard, 1.0<pT<5.0 GeV

sc_2_3{4}, standard, 1.5<pT<5.0 GeV

sc_2_3{4}, standard, 2.0<pT<5.0 GeV

sc_2_3{4}, 3-subevent, 0.5<pT<5.0 GeV

sc_2_3{4}, 3-subevent, 1.0<pT<5.0 GeV

sc_2_3{4}, 3-subevent, 1.5<pT<5.0 GeV

sc_2_3{4}, 3-subevent, 2.0<pT<5.0 GeV

sc_2_4{4}, standard, 0.5<pT<5.0 GeV

sc_2_4{4}, standard, 1.0<pT<5.0 GeV

sc_2_4{4}, standard, 1.5<pT<5.0 GeV

sc_2_4{4}, standard, 2.0<pT<5.0 GeV

sc_2_4{4}, 3-subevent, 0.5<pT<5.0 GeV

sc_2_4{4}, 3-subevent, 1.0<pT<5.0 GeV

sc_2_4{4}, 3-subevent, 1.5<pT<5.0 GeV

sc_2_4{4}, 3-subevent, 2.0<pT<5.0 GeV

ac_2{3}, standard, 0.5<pT<5.0 GeV

ac_2{3}, standard, 1.0<pT<5.0 GeV

ac_2{3}, standard, 1.5<pT<5.0 GeV

ac_2{3}, standard, 2.0<pT<5.0 GeV

ac_2{3}, 3-subevent, 0.5<pT<5.0 GeV

ac_2{3}, 3-subevent, 1.0<pT<5.0 GeV

ac_2{3}, 3-subevent, 1.5<pT<5.0 GeV

ac_2{3}, 3-subevent, 2.0<pT<5.0 GeV

The measured fiducial production cross-sections times branching ratio for $W^+\rightarrow\mu^+\nu$ and $W^-\rightarrow\mu^-\bar{\nu}$, their sum, and their ratio for data

The measured fiducial production cross-sections times branching ratio for $W^+\rightarrow\mu^+ u$ and $W^-\rightarrow\mu^-\bar{\nu}$, their sum, and their ratio for the predictions from DYNNLO (CT14 NNLO PDF set)

Size of the $W^{+}$ the cross-section (differential in $\eta_{\mu}$, as a function of $|\eta_{\mu}|$. The central values are provided along with the statistical and systematic uncertainties together with the sign information. gThe uncertainties are given in percent.

Size of the $W^{+}$ the cross-section (differential in $\eta_{\mu}$, as a function of $|\eta_{\mu}|$. The central values are provided along with the statistical and systematic uncertainties together with the sign information. gThe uncertainties are given in percent.

Size of the asymmetry as a function of $|\eta_{\mu}|$. The central values are provided along with the statistical and systematic uncertainties together with the sign information. The uncertainties are given as an absolute difference from the nominal.