Rapidity dependence of $R_{\mathrm{pPb}}$ for prompt $\psi$(2S) mesons at $\sqrt(s_{\textrm{NN}})=5.02 $ TeV, in three $p_{\mathrm{T}}$ ranges. The fully correlated global uncertainty of 4.2% is not included in the point-by-point uncertainty.

Transverse momentum dependence of $R_{\mathrm{pPb}}$ for prompt $\psi$(2S) mesons at $\sqrt(s_{\textrm{NN}})=5.02 $ TeV, in seven $y_{\mathrm{CM}}$ ranges. The fully correlated global uncertainty of 4.2% is not incuded in the point-by-point uncertainty.

The elliptic flow, $v_{2}$, for $\Omega^{-}$ as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow, $v_{2}$, for $D^{0}$ mesons as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $K^{0}_{S}$ as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Lambda$ as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Xi^{-}$ as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Omega^{-}$ as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $D^{0}$ mesons as a function of $p_{T}$ in pPb collision at 8.16 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in pPb collision at 8.16 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Lambda$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in pPb collision at 8.16 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Xi^{-}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in pPb collision at 8.16 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Omega^{-}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in pPb collision at 8.16 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $D^{0}$ meson as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in pPb collision at 8.16 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $K^{0}_{S}$ as a function of $p_{T}$ in PbPb collision at 5.02 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Lambda$ as a function of $p_{T}$ in PbPb collision at 5.02 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Xi^{-}$ as a function of $p_{T}$ in PbPb collision at 5.02 TeV.

The elliptic flow after correcting back-to-back jet contribution, $v_{2}^{sub}$, for $\Omega^{-}$ as a function of $p_{T}$ in PbPb collision at 5.02 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in PbPb collision at 5.02 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Lambda$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in PbPb collision at 5.02 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Xi^{-}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in PbPb collision at 5.02 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $\Omega^{-}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in PbPb collision at 5.02 TeV.

The elliptic flow per constituent quark after correcting back-to-back jet contribution, $v_{2}^{sub}/n_{q}$, for $D^{0}$ meson as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ in PbPb collision at 5.02 TeV.

The expected and observed constraints on chargino lifetime and mass. The ratio of the vacuum expectation values of the two Higgs doublets, $\tan \beta$, is fixed to 5 with $\mu > 0$, where $\mu$ is the higgsino mass parameter. The direct chargino production cross section includes both $\widetilde{\chi}^{0}_{1}\widetilde{\chi}^\pm_{1}$ and $\widetilde{\chi}^\pm_{1}\widetilde{\chi}^\mp_{1}$ production in roughly a 2:1 ratio for all chargino masses considered, and the branching fraction of $\widetilde{\chi}^\pm_{1} \rightarrow \widetilde{\chi}^{0}_{1}\mathrm{\pi^{\pm}}$ is set to 100%. Chargino masses that are less than those on the curve are excluded at 95% CL.

The observed 95% CL upper limits on the product of the cross section for direct production of charginos and their branching fraction to $\widetilde{\chi}^{0}_{1}\mathrm{\pi^{\pm}}$ as a function of chargino mass and lifetime. The ratio of the vacuum expectation values of the two Higgs doublets, $\tan \beta$, is fixed to 5 with $\mu > 0$, where $\mu$ is the higgsino mass parameter. The direct chargino production cross section includes both $\widetilde{\chi}^{0}_{1}\widetilde{\chi}^\pm_{1}$ and $\widetilde{\chi}^\pm_{1}\widetilde{\chi}^\mp_{1}$ production in roughly a 2:1 ratio for all chargino masses considered, and the branching fraction of $\widetilde{\chi}^\pm_{1} \rightarrow \widetilde{\chi}^{0}_{1}\mathrm{\pi^{\pm}}$ is set to 100%.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2015 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2016A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2016B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2015 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2016A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, with no generator-level filtering, while the numerator is the number of those events that are selected by the disappearing track signal selection, after being processed with the same reconstruction software used on the data. The acceptance corresponds to the 2016B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2015 data-taking period, corresponding to $2.7\,\text{fb}^{-1}$, after the application of each of the disappearing track selections for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$. The selections listed are cumulative, i.e., only the events and objects passing a given selection are considered in subsequent selections. The uncertainties shown include only the statistical uncertainty resulting from the limited sizes of the generated samples.

Predicted signal yields for the 2016A data-taking period, corresponding to $8.3\,\text{fb}^{-1}$, after the application of each of the disappearing track selections for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$. The selections listed are cumulative, i.e., only the events and objects passing a given selection are considered in subsequent selections. The uncertainties shown include only the statistical uncertainty resulting from the limited sizes of the generated samples.

Predicted signal yields for the 2016B data-taking period, corresponding to $27.4\,\text{fb}^{-1}$, after the application of each of the disappearing track selections for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$. The selections listed are cumulative, i.e., only the events and objects passing a given selection are considered in subsequent selections. The uncertainties shown include only the statistical uncertainty resulting from the limited sizes of the generated samples.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of inclusive jet multiplicity, $N_{\text{jets}}^{\text{min}}$.

Measured cross section for Z+jets as a function of the transverse momementum of the Z boson, $p_{\text{T}}(\text{Z})$, for events with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momementum of the Z boson, $p_{\text{T}}(\text{Z})$, for events with at least one jet.

Measured cross section for Z+jets as a function of the transverse momenum of the first jet, $p_{\text{T}}(\text{j}_1)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the first jet, $p_{\text{T}}(\text{j}_1)$.

Measured cross section for Z+jets as a function of the transverse momenum of the second jet, $p_{\text{T}}(\text{j}_2)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the second jet, $p_{\text{T}}(\text{j}_2)$.

Measured cross section for Z+jets as a function of the transverse momenum of the third jet, $p_{\text{T}}(\text{j}_3)$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momenum of the third jet, $p_{\text{T}}(\text{j}_3)$.

Measured cross section for Z+jets as a function of the absolute rapidity of the first jet, $|y(\text{j}_1)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the first jet, $|y(\text{j}_1)|$.

Measured cross section for Z+jets as a function of the absolute rapidity of the second jet, $|y(\text{j}_2)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the second jet, $|y(\text{j}_2)|$.

Measured cross section for Z+jets as a function of the absolute rapidity of the third jet, $|y(\text{j}_3)|$, and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the absolute rapidity of the third jet, $|y(\text{j}_3)|$.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least one jet.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least two jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least two jets.

Measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least three jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the $H_{\text{T}}$ observable for event with at least three jets.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least one jet and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least one jet.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least two jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least two jets.

Measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least three jets and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the transverse momentum balance between the Z boson and the accompanying jets, $p_{\text{T}}^{\text{bal}}$, for events with at least three jets.

Measured cross section for Z+jets as a function of the JZB variable with no restriction on $p_{\text{T}}(\text{Z})$ and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable with no restriction on $p_{\text{T}}(\text{Z})$.

Measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})\leq50\,$GeV) and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})\leq50\,$GeV).

Measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})>50\,$GeV and breakdown of the relative uncertainty.

Bin-to-bin correlation in the measured cross section for Z+jets as a function of the JZB variable for $p_{\text{T}}(\text{Z})>50\,$GeV.

The test statistic q as a function of $\mu_{\mathrm{ttH}}$ for all decay modes at 7+8 TeV and at 13 TeV, separately, and for all decay modes at all CM energies. The expected SM result for the overall combination is also shown.

Expected and observed upper limits at the 95% CL on the pp --> X --> ZZ cross section as a function of $m_X$ with $\Gamma_X$=10 GeV in VBF production mode.

Expected and observed upper limits at the 95% CL on the pp --> X --> ZZ cross section as a function of $m_X$ with $\Gamma_X$=100 GeV with VBF fraction profiled.

Expected and observed upper limits at the 95% CL on the pp --> X --> ZZ cross section as a function of $m_X$ with $\Gamma_X$=100 GeV in VBF production mode.

Observed upper limits at the 95% CL on the pp --> X --> ZZ cross section as a function of $m_X$ and $\Gamma_X$ values when VBF fraction is profiled.

Observed upper limits at the 95% CL on the pp --> X --> ZZ cross section as a function of $m_X$ and $\Gamma_X$ values in VBF production mode.

Distribution of $m_{jj}$ in data and simulation for events in the signal regions of the low-mass search. The points show the data while the filled histograms show the background contributions. The gray band shows the statistical and systematic uncertainties in the background, while the dashed vertical region ("Higgs") shows the expected SM Higgs boson mass range, which is excluded from this analysis. A 600 GeV bulk graviton signal prediction is represented by the black dashed histogram; for visibility, the signal cross-section is increased by a factor of 50. The background normalization is derived from the final fit to the $m_{VZ}$ observable in data.

The m$_{j}$ distributions of the events in data, compared to the expected background shape, for the high-mass analysis in the electron channel, for the high-purity category. The expected background shape is extracted from a fit to the data sidebands (Z+jets) or derived from simulation ("top quark" and "VV"). The dashed region around the background sum represents the uncertainty in the Z+jets distribution, while the dashed vertical region ("Higgs") shows the expected SM Higgs boson mass range, excluded from the analysis.

The m$_{j}$ distributions of the events in data, compared to the expected background shape, for the high-mass analysis in the electron channel, for the low-purity category. The expected background shape is extracted from a fit to the data sidebands (Z+jets) or derived from simulation ("top quark" and "VV"). The dashed region around the background sum represents the uncertainty in the Z+jets distribution, while the dashed vertical region ("Higgs") shows the expected SM Higgs boson mass range, excluded from the analysis.

The m$_{j}$ distributions of the events in data, compared to the expected background shape, for the high-mass analysis in the muon channel, for the high-purity category. The expected background shape is extracted from a fit to the data sidebands (Z+jets) or derived from simulation ("top quark" and "VV"). The dashed region around the background sum represents the uncertainty in the Z+jets distribution, while the dashed vertical region ("Higgs") shows the expected SM Higgs boson mass range, excluded from the analysis.

The m$_{j}$ distributions of the events in data, compared to the expected background shape, for the high-mass analysis in the muon channel, for the low-purity category. The expected background shape is extracted from a fit to the data sidebands (Z+jets) or derived from simulation ("top quark" and "VV"). The dashed region around the background sum represents the uncertainty in the Z+jets distribution, while the dashed vertical region ("Higgs") shows the expected SM Higgs boson mass range, excluded from the analysis.

Expected and observed distributions of the resonance candidate mass $m_{\text{VZ}}$ in the high-mass analysis, in the electron channel, high-purity category. The shaded area represents the post-fit uncertainty in the background. The expected contribution from W' signal candidates with mass $m_{\text{X}} = 2000$ GeV, normalized to a cross section of 100 fb$^{-1}$, is also shown.

Expected and observed distributions of the resonance candidate mass $m_{\text{VZ}}$ in the high-mass analysis, in the electron channel, low-purity category. The shaded area represents the post-fit uncertainty in the background. The expected contribution from W' signal candidates with mass $m_{\text{X}} = 2000$ GeV, normalized to a cross section of 100 fb$^{-1}$, is also shown.

Expected and observed distributions of the resonance candidate mass $m_{\text{VZ}}$ in the high-mass analysis, in the muon channel, high-purity category. The shaded area represents the post-fit uncertainty in the background. The expected contribution from W' signal candidates with mass $m_{\text{X}} = 2000$ GeV, normalized to a cross section of 100 fb$^{-1}$, is also shown.

Expected and observed distributions of the resonance candidate mass $m_{\text{VZ}}$ in the high-mass analysis, in the muon channel, low-purity category. The shaded area represents the post-fit uncertainty in the background. The expected contribution from W' signal candidates with mass $m_{\text{X}} = 2000$ GeV, normalized to a cross section of 100 fb$^{-1}$, is also shown.

Sideband $m_{ZV}$ distribution for the low-mass search in the merged V, untagged category, after fitting the sideband data alone. The points show the data while the filled histograms show the background contributions. Electron and muon categories are combined. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{ZV}$; the bin widths are indicated by the horizontal error bars.

Sideband $m_{ZV}$ distribution for the low-mass search in the merged V, tagged category, after fitting the sideband data alone. The points show the data while the filled histograms show the background contributions. Electron and muon categories are combined. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{ZV}$; the bin widths are indicated by the horizontal error bars.

Sideband $m_{ZV}$ distribution for the low-mass search in the resolved V, untagged category, after fitting the sideband data alone. The points show the data while the filled histograms show the background contributions. Electron and muon categories are combined. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{ZV}$; the bin widths are indicated by the horizontal error bars.

Sideband $m_{ZV}$ distribution for the low-mass search in the resolved V, tagged category, after fitting the sideband data alone. The points show the data while the filled histograms show the background contributions. Electron and muon categories are combined. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{ZV}$; the bin widths are indicated by the horizontal error bars.

The signal region $m_{VZ}$ distribution for the low-mass search, in the the merged V, untagged category, after fitting the signal and sideband regions. Electron and muon categories are combined. A 600 GeV bulk graviton signal prediction is represented by the black dashed histogram. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{VZ}$; the bin widths are indicated by the horizontal error bars.

The signal region $m_{VZ}$ distribution for the low-mass search, in the the merged V, tagged category, after fitting the signal and sideband regions. Electron and muon categories are combined. A 600 GeV bulk graviton signal prediction is represented by the black dashed histogram. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{VZ}$; the bin widths are indicated by the horizontal error bars.

The signal region $m_{VZ}$ distribution for the low-mass search, in the the resolved V, untagged category, after fitting the signal and sideband regions. Electron and muon categories are combined. A 600 GeV bulk graviton signal prediction is represented by the black dashed histogram. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{VZ}$; the bin widths are indicated by the horizontal error bars.

The signal region $m_{VZ}$ distribution for the low-mass search, in the the resolved V, tagged category, after fitting the signal and sideband regions. Electron and muon categories are combined. A 600 GeV bulk graviton signal prediction is represented by the black dashed histogram. The gray band indicates the statistical and post-fit systematic uncertainties in the normalization and shape of the background. Larger bin widths are used at higher values of $m_{VZ}$; the bin widths are indicated by the horizontal error bars.

Observed and expected 95% CL upper limit on $\sigma_{W'} Br(W' \to ZW)$ 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 together. The green (inner) and yellow (outer) bands represent the 68% and 95% coverage of the expected limit in the background-only hypothesis.

Observed and expected 95% CL upper limit on $\sigma_{G} Br(G \to ZZ)$ 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 together. The green (inner) and yellow (outer) bands represent the 68% and 95% coverage of the expected limit in the background-only hypothesis.

Observed local p-values for W' narrow resonances as a function of the resonance mass.

Observed local p-values for G narrow resonances as a function of the resonance mass.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of Additional jets.

Covariance matrix of absolute cross section at particle level as a function of Additional jets.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Absolute cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Absolute cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Absolute cross section at particle level as a function of $|\eta(b_\text{l})|$.

Absolute cross section at particle level as a function of $|\eta(b_\text{h})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{1})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{2})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{3})|$.

Absolute cross section at particle level as a function of $|\eta(j_\text{4})|$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Absolute cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Covariance matrix of absolute cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of Additional jets.

Covariance matrix of normalized cross section at particle level as a function of Additional jets.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of Additional jets vs. $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at particle level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at particle level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at particle level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{l})$.

Normalized cross section at particle level as a function of $p_\text{T}(b_\text{h})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{W2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{1})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{2})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{3})$.

Normalized cross section at particle level as a function of $p_\text{T}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $p_\text{T}(\mathrm{jet})$.

Normalized cross section at particle level as a function of $|\eta(b_\text{l})|$.

Normalized cross section at particle level as a function of $|\eta(b_\text{h})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{W2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{1})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{2})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{3})|$.

Normalized cross section at particle level as a function of $|\eta(j_\text{4})|$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $|\eta(\text{jet})|$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_{\text{j}_\text{t}}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_{\text{j}_\text{t}}$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{l})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(b_\text{h})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{W2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{1})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{2})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{3})$.

Normalized cross section at particle level as a function of $\Delta R_\text{t}(j_\text{4})$.

Covariance matrix of normalized cross section at particle level as a function of Jet type vs. $\Delta R_\text{t}$.

gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

gap fraction at particle level.

Covariance matrix of gap fraction at particle level.

jet multiplicities for $p_{T}(jet) > 30.0$ GeV.

jet multiplicities for $p_{T}(jet) > 50.0$ GeV.

jet multiplicities for $p_{T}(jet) > 75.0$ GeV.

jet multiplicities for $p_{T}(jet) > 100.0$ GeV.

Covariance matrix of jet multiplicities with different pT(jet) thresholds.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of absolute cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of absolute cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of absolute cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{high})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{low})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{l})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{l})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Covariance matrix of normalized cross section at the parton level as a function of $|y(\text{t}_\text{h})|$ vs. $p_\text{T}(\text{t}_\text{h})$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Covariance matrix of normalized cross section at the parton level as a function of $M(\text{t}\bar{\text{t}})$ vs. $|y(\text{t}\bar{\text{t}})|$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Covariance matrix of normalized cross section at the parton level as a function of $p_\text{T}(\text{t}_\text{h})$ vs. $M(\text{t}\bar{\text{t}})$.

Normalized dijet angular distribution for events with 4.2 < dijet mass < 4.8 TeV.

Normalized dijet angular distribution for events with 3.6 < dijet mass < 4.2 TeV.

Normalized dijet angular distribution for events with 3.0 < dijet mass < 3.6 TeV.

Normalized dijet angular distribution for events with 2.4 < dijet mass < 3.0 TeV.

The 95% CL upper limits on the quark coupling gq, as a function of mass, for an axialvector or vector DM mediator with gDM = 1.0 and mDM = 1 GeV.

Electroweak correction factors for events with dijet mass > 6.0 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 5.4 < dijet mass < 6.0 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 4.8 < dijet mass < 5.4 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 4.2 < dijet mass < 4.8 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 3.6 < dijet mass < 4.2 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 3.0 < dijet mass < 3.6 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Electroweak correction factors for events with 2.4 < dijet mass < 3.0 TeV computed by the authors of JHEP 11 (2012) 095 (arXiv:1210.0438).

Covariance matrix for 1 < CHI < 2.

Covariance matrix for 2 < CHI < 3.

Covariance matrix for 3 < CHI < 4.

Covariance matrix for 4 < CHI < 5.

Covariance matrix for 5 < CHI < 6.

Covariance matrix for 6 < CHI < 7.

Covariance matrix for 7 < CHI < 8.

Covariance matrix for 8 < CHI < 9.

Covariance matrix for 9 < CHI < 10.

Covariance matrix for 10 < CHI < 12.

Covariance matrix for 12 < CHI < 14.

Covariance matrix for 14 < CHI < 16.

NLO QCD+EW prediction and benchmark signal predictions for dijet mass > 6.0 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 5.4 < dijet mass < 6.0 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 4.8 < dijet mass < 5.4 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 4.2 < dijet mass < 4.8 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 3.6 < dijet mass < 4.2 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 3.0 < dijet mass < 3.6 TeV.

NLO QCD+EW prediction and benchmark signal predictions for 2.4 < dijet mass < 3.0 TeV.