Measured cross section in bins of $p_{\rm{T}}^{\rm{j}1}$.

Measured fractions in bins of $p_{\rm{T}}^{\rm{H}}$.

Measured fractions in bins of $|y^{\rm{H}}|$.

Measured fractions in bins of $N_{\rm{jets}}$.

Measured fractions in bins of $p_{\rm{T}}^{\rm{j1}}$.

Correlation matrix for the total uncertainty of the differential cross-section measurement in bins of $p_{\rm{T}}^{\rm{H}}$.

Correlation matrix for the total uncertainty of the differential cross-section measurement in bins of $|y^{\rm{H}}|$.

Correlation matrix for the total uncertainty of the differential cross-section measurement in bins of $N_{\rm{jets}}$.

Correlation matrix for the total uncertainty of the differential cross-section measurement in bins of $p_{\rm{T}}^{\rm{j1}}$.

Correlation matrix for the total uncertainty of the differential shape measurement in bins of $p_{\rm{T}}^{\rm{H}}$.

Correlation matrix for the total uncertainty of the differential shape measurement in bins of $|y^{\rm{H}}|$.

Correlation matrix for the total uncertainty of the differential shape measurement in bins of $N_{\rm{jets}}$.

Correlation matrix for the total uncertainty of the differential shape measurement in bins of $p_{\rm{T}}^{\rm{j1}}$.

The total $pp\to H$ cross section in the $H\to\gamma\gamma$ and $H\to ZZ^*\to 4\ell$ channels and their combination.

Breakdown of systematic uncertainties in percent for the measured fiducial cross section times leptonic branching ratio for Z/gamma* production in the Z/gamma* -> mu+mu- final state at 13TeV.

Measured fiducial cross section times leptonic branching ratio for Z/gamma* production in the combined Z/gamma* -> l+l- (l = e, mu) final state.

Measured total cross section times leptonic branching ratio for Z/gamma* production in the combined Z/gamma* -> l+ l- (l = e, mu) final state.

Measured total cross-section for ttbar events using e-mu events with b-tagged jets.

Correlation coefficients amongst the combined (Z/gamma^* -> l+ l-) where (l = e, mu) fiducial cross section and ttbar total cross section at 13, 8, and 7TeV.

Correlation coefficients amongst the combined (Z/gamma^* -> l+ l-) where (l = e, mu) fiducial cross section and ttbar total cross section at 13, 8, and 7TeV, omitting the common normalisation uncertainty due to the luminosity calibration and beam energy.

Z-boson and ttbar production cross-section single ratios at 13, 8, 7TeV. The beam-energy uncertainty, which largely cancels in the ratios, is included in the systematic uncertainty. In the first column, the total (TOT) cross sections are used for both numerator and denominator. In the second column, the total cross section is used for the numerator while the fiducial (FID) cross section is used for the denominator. In the third column, the fiducial cross sections are used for both numerator and denominator. Apart for the MZ requirement, the kinematic fiducial requirements listed below apply only to the fiducial cross sections. The luminosity uncertainty almost entirely cancels in some of the ratio measurements.

Z-boson and ttbar production cross-section double ratios at 13, 8, 7TeV. The beam-energy uncertainty, which largely cancels in the ratios, is included in the systematic uncertainty. In the first column, the total (TOT) cross sections are used for both ttbar and Z processes. In the second column, the total cross section is used for ttbar while the fiducial (FID) cross section is used for Z. In the third column, the fiducial cross sections are used for both ttbar and Z. Apart for the MZ requirement, the kinematic fiducial requirements listed below apply only to the fiducial cross sections.

$R_{pPb}$ as a function of $p_{T}$ integrated over rapidity range $-1.8<y*<1.3$ for the 0--90% centrality interval for the three geometric models: (a) Glauber, (b) Glauber-Gribov with $\omega_{\sigma}=0.11$ and (c) Glauber-Gribov with $\omega_{\sigma}=0.2$.

$R_{pPb}$ values as a function of $p_{T}$ in the 0--90% centrality interval averaged over $|y*|<0.5$.The $\langle T_{Pb} \rangle$ value for the ATLAS centrality correction is calculated with the Glauber model. The total systematic uncertainties, which include the uncertainty in $\langle T_{Pb} \rangle$, are indicated by lines of the same colour. Strict quantitative agreement is not expected as each measurement uses different rapidity intervals for the centrality determination and apply different event selection criteria to reject diffractive collisions.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

Measured charge asymmetry, $A_c$, values for the electron and muon channels combined after unfolding as a function of the $t\bar{t}$ transverse momentum, $p_{{\rm T}, t\bar{t}}$. The quoted uncertainties include statistical and systematic components after the marginalisation.

Correlation coefficients $\rho_{i,j}$ for the statistical and systematic uncertainties between the $i$-th and $j$-th bin of the differential $A_c$ measurement as a function of the $t\bar{t}$ invariant mass, $m_{t\bar{t}}$.

Correlation coefficients $\rho_{i,j}$ for the statistical and systematic uncertainties between the $i$-th and $j$-th bin of the differential $A_c$ measurement as a function of the $t\bar{t}$ velocity along the z-axis, $\beta_{z,t\bar{t}}$.

Correlation coefficients $\rho_{i,j}$ for the statistical and systematic uncertainties between the $i$-th and $j$-th bin of the differential $A_c$ measurement as a function of the transverse momentum, $p_{{\rm T}, t\bar{t}}$.

Ratios of integrated fiducial CC and NC cross sections obtained from the combination of electron and muon channels with statistical (stat) and systematic (syst) uncertainties. The common fiducial regions are defined in Section 2.3.

Total cross sections times leptonic branching ratios obtained from the combination of electron and muon channels with statistical and systematic uncertainties, for $W^+$, $W^-$, their sum and the $Z/\gamma^*$ process measured at $\sqrt{s}=7$ TeV. The $Z/\gamma^*$ cross section is defined for the dilepton mass window $m_{\ell\ell} = 66 - 116$ GeV. The uncertainties denote the statistical (stat), the experimental systematic (syst), the luminosity (lumi), and acceptance extrapolation (acc) contributions.

Ratios of total CC and NC cross sections obtained from the combination of electron and muon channels with statistical and systematic uncertainties. The $Z/\gamma^*$ cross section is defined for the dilepton mass window $m_{\ell\ell} = 66 - 116$ GeV. The uncertainties denote the statistical (stat), the experimental systematic (syst), and acceptance extrapolation (acc) contributions.

The correlation coefficients of the $W^+$, $W^-$ and $Z$ fiducial cross-section measurements.

Measurement of the electron-to-muon cross-section ratios for the $W$ and $Z$ production, $R_W$ and $R_Z$. The uncertainties denote the statistical (stat) and the experimental systematic (syst) contributions.

Differential cross section for the $W^+ \to \ell^+\nu$ processes combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the $W^- \to \ell^-\bar{\nu}$ processes combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $46 < m_{\ell\ell} < 66$ GeV combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the forward $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the forward $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV combined from $\ell = e, \mu$ decays extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the $W^- \to e^-\bar{\nu}$ process extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the $W^+ \to e^+\nu$ process extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to ee$ process in the invariant mass region $46 < m_{\ell\ell} < 66$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to ee$ process in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the forward $Z/\gamma^* \to ee$ process in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to ee$ process in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the forward $Z/\gamma^* \to ee$ process in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the $W^- \to \mu^-\bar{\nu}$ process extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the $W^+ \to \mu^+\nu$ process extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \mu\mu$ process in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \mu\mu$ process in the invariant mass region $46 < m_{\ell\ell} < 66$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Differential cross section for the central $Z/\gamma^* \to \mu\mu$ process in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV extrapolated to the common fiducial region. The statistical, uncorrelated systematic, correlated systematic and luminosity uncertainties are given in percent.

Values of $E(W[Z])$ and $A(W[Z])$ correction factors for integrated $W\to\ell\nu$ and $Z\to\ell\ell$ measurements together with the total estimated uncertainties in percent. The separate electron and muon measurements are divided by the $E(W[Z])$ factors, as defined in Eq.(8), to correct them to the corresponding common fiducial region. The $A(W[Z])$ factors, defined in Eq. (9), are used to extract a total cross section. Finally, the ratios of $A(W[Z])$ correction factors are given for four combinations of $W^+$, $W^-$ and $Z$ treating all components of the $A(W[Z])$ uncertainties as correlated between processes, which is relevant for the acceptance uncertainties on the total cross-section ratios.

Values of $E(W)$ correction factors for the differential $W\to\ell\nu$ measurements together with the total estimated uncertainties in percent. The separate electron and muon measurements are divided by the $E(W)$ factors, as defined in Eq.(8), to correct them to the corresponding common fiducial region. This only affects the bin of highest $\eta_\ell$, all other $E(W)$ factors are exactly 1 without uncertainties.

Values of $E(Z)$ correction factors for the differential $Z/\gamma^*\to e^+e^-$ measurements together with the total estimated uncertainties in percent. The separate electron and muon measurements are divided by the $E(Z)$ factors, as defined in Eq.(8), to correct them to the corresponding common fiducial region.

Values of $E(Z)$ correction factors for the differential $Z/\gamma^*\to \mu^+\mu^-$ measurements together with the total estimated uncertainties in percent. The separate electron and muon measurements are divided by the $E(Z)$ factors, as defined in Eq.(8), to correct them to the corresponding common fiducial region.

Values of $E(Z)$ correction factors for the differential forward $Z/\gamma^*\to e^+e^-$ measurements together with the total estimated uncertainties in percent. The separate electron and muon measurements are divided by the $E(Z)$ factors, as defined in Eq.(8), to correct them to the corresponding common fiducial region.

Correlation coefficients between integrated cross sections extrapolated to the total phase space, $\sigma^\mathrm{tot}_{W \to \ell\nu}$ and $\sigma^\mathrm{tot}_{Z/\gamma^* \to \ell\ell}$ for four combinations of $W^+, W^-, W^{\pm}$ and $Z$. Values are given including and excluding the luminosity uncertainties.

Correlation coefficients between integrated fiducial cross sections in electron and muon channels for $W^{\pm}$ and $Z$. Values are given including and excluding the luminosity uncertainties.

The differential W charge asymmetry $A_{\ell}$ as defined in Eq. (19) from the combined electron and muon channel measurements. All uncertainties are quoted in % with respect to the $A_{\ell}$ values. The statistical (stat), uncorrelated (uncor) and correlated (cor) systematic uncertainties are reported.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the integrated common fiducial cross sections using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the $W^+ \to \ell^+\nu$ process using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the $W^- \to \ell^-\bar{\nu}$ process$ using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial W charge asymmetry $A_{\ell}$ using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $46 < m_{\ell\ell} < 66$ GeV using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups. The term 'EW' quantifies the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised ($\pm$). All predictions are corrected for leading two-loop EW contributions.

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups. The term 'EW' quantifies the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised ($\pm$).

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the central $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups. The term 'EW' quantifies the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised ($\pm$).

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the forward $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups. The term 'EW' quantifies the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised ($\pm$).

Combined NNLO QCD and NLO EW predictions as defined in Eq. (15), c.f. Section 6.1.2 and Ref. [110] Chapter III.2.3, for the differential common fiducial cross sections for the forward $Z/\gamma^* \to \ell\ell$ processes in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV using Table 15 input parameters and various NNLO PDFs. The given uncertainties correspond to the statistical accuracy from the numerical DYNNLO 1.5 integration (stat) and the PDF uncertainties, where the latter are evaluated following the different prescriptions of the PDF groups. The term 'EW' quantifies the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised ($\pm$).

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential $W^+ \to \ell^+\nu$ process. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses FEWZ 3.1.b2 for the NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors of 2 and 0.5, respectively. The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions are negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential $W^- \to \ell^-\bar{\nu}$ process. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses FEWZ 3.1.b2 for the NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors of 2 and 0.5, respectively. The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions are negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential central $Z/\gamma^* \to \ell\ell$ process in the invariant mass region $46 < m_{\ell\ell} < 66$ GeV. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses the FEWZ 3.1.b2 NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors 2 and 0.5, respectively. The factors $K_{EW}$ quantify the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised (EW up/down). The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions is negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential central $Z/\gamma^* \to \ell\ell$ process in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses the FEWZ 3.1.b2 NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors 2 and 0.5, respectively. The factors $K_{EW}$ quantify the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised (EW up/down). The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions is negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential central $Z/\gamma^* \to \ell\ell$ process in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses the FEWZ 3.1.b2 NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors 2 and 0.5, respectively. The factors $K_{EW}$ quantify the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised (EW up/down). The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions is negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential forward $Z/\gamma^* \to \ell\ell$ process in the invariant mass region $66 < m_{\ell\ell} < 116$ GeV. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses the FEWZ 3.1.b2 NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors 2 and 0.5, respectively. The factors $K_{EW}$ quantify the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised (EW up/down). The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions is negligible.

Nominal NNLO QCD + NLO EW $K_f$-factors as defined in Eq. (20) for the differential forward $Z/\gamma^* \to \ell\ell$ process in the invariant mass region $116 < m_{\ell\ell} < 150$ GeV. The $K_f$-factor is calculated as ratio of the best NNLO QCD + NLO EW prediction to the NLO QCD calculation using the MCFM/APPLGRID calculation, both using the ATLAS-epWZ12 NNLO PDF set, c.f. Section 7.1. In addition to the nominal $K_f$-factor, a full set of alternative $K$-factors is presented reflecting the following systematic variations, c.f. Tables 19 and 21. The factor $K_{FEWZ}$ uses the FEWZ 3.1.b2 NNLO QCD prediction, combined with NLO EW. The factors $K_\mu$ reflect the variation of the renormalisation and factorisations scales ($\mu_R, \mu_F$ up/down) by factors 2 and 0.5, respectively. The factors $K_{EW}$ quantify the deviation in case of using the NNLO QCD and NLO EW combination procedure as defined in Eq. (13) from the nominal prescription in Eq. (15), where the effect is symmetrised (EW up/down). The statistical uncertainty on each $K_f$-factor (stat) is obtained from the NNLO QCD calculation, while the numerical uncertainties from all other contributions is negligible.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the integrated common fiducial cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties are negligible on these correction factors.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial $W^+ \to e^+\nu$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial $W^- \to e^-\bar{\nu}$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial $W^+ \to \mu^+\nu$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial $W^- \to \mu^-\bar{\nu}$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial central $Z/\gamma^* \to ee$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial central $Z/\gamma^* \to \mu\mu$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Correction factors estimated from Powheg+Pythia6+Photos samples, c.f. Section 2.2, to convert the differential common fiducial forward $Z/\gamma^* \to ee$ cross-section measurements from Born QED level, c.f. Section 6.1.2, to a "dressed" and "bare" QED FSR definition. The "dressed" level is obtained from the charged final-state lepton(s) combined with all FSR photons within a cone R, as defined in Footnote 1, of R<0.1. The "bare" level is obtained from the charged final-state lepton(s) after QED FSR losses. The factors $C_{dressed}$ ($C_{bare}$) are defined as the ratio of the dressed (bare) to the Born QED level cross sections. The statistical uncertainties (stat) are given.

Parton-level normalized $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level normalized $t\bar t$ differential cross-sections for the $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level normalized $t\bar t$ differential cross-sections for the $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 7 TeV. The cross-sections in the last bins include events (if any) beyond of the bin edges. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for the $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 7 TeV. The cross-sections in the last bins include events (if any) beyond of the bin edges. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for the $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 7 TeV. The cross-sections in the last bins include events (if any) beyond of the bin edges. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for the $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Parton-level absolute $t\bar t$ differential cross-sections for the $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The uncertainties quoted in the second column represent the statistical and systematic uncertainties added in quadrature.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are in units of 10$^{-6}$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are in units of 10$^{-6}$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are unit-less.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are in units of 10$^{-6}$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are in units of 10$^{-6}$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are unit-less.

Full covariance matrix of the absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are in units of pb$^2$ GeV$^{-2}$.

Full covariance matrix of the absolute $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are in units of pb$^2$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 7 TeV. The elements of the covariance matrix are pb$^2$.

Full covariance matrix of the absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are in units of pb$^2$ GeV$^{-2}$.

Full covariance matrix of the absolute $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are in units of pb$^2$ GeV$^{-2}$.

Full covariance matrix of the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The elements of the covariance matrix are pb$^2$.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the normalized $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 7 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system mass $m_{t\bar t}$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system transverse momentum $p_{T, t\bar t}$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Statistical bin-to-bin correlations in the absolute $t\bar t$ differential cross-sections for $t\bar t$ system absolute rapidity $|y_{t\bar t}|$ at $\sqrt{s}$ = 8 TeV. The off-diagonal correlations mainly due to bin migrations in unfolding and the normalization condition.

Data minus non-Zjj backgrounds in the EW-enriched fiducial region, statistical errors included

The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour (+1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour (-1$\sigma$) for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.1 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving a vector operator with couplings $g_{q}$ = 0.25, $g_{\chi}$ =1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The observed 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($+1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour ($-1\sigma$) for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The expected 95% CL exclusion contour for a simplified model of dark-matter production involving for a vector operator with couplings $g_{q}$ = 0.1, $g_{\chi}$ = 1 and $g_{l}$ = 0.01 as a function of the dark-matter mass $m_{\chi}$ and the mediator mass $m_{\mathrm{med}}$. The plane under the limit curve is excluded.

The 90% CL exclusion limit on the $\chi$-proton scattering cross section in a simplifed model of dark-matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The 90% CL exclusion limit on the $\chi$-nucleon scattering cross section in a simplifed model of dark-matter production involving a vector operator, Dirac DM and couplings $g_{q}$ = 0.25, $g_{\chi}$ = 1 and $g_{l}$ = 0 as a function of the dark-matter mass $m_{\chi}$.

The observed and expected 95% CL limits on M* for a dimension-7 operator EFT model with a contact interaction of type $\gamma\gamma\chi\chi$ as a function of dark-matter mass $m_{\chi}$.

The observed and expected limit at 95% CL on the production cross section of a $Z\gamma$ resonance as a function of its mass.

The observed 95% CL upper limits on signal strength $\mu$, the ratio of the experimental limit to the predicted signal cross section, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$ = 0.25 and $g_{\chi}$ = 1 as a function of the DM and the mediator particle masses. The bound on $\mu$ only applies for choices of couplings that yield the same kinematic distributions as the benchmark model.

Acceptance, in %, for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.

Fiducial reconstruction efficiencies in the three inclusive signal regions for a simplified model of dark matter production involving an axial-vector operator, Dirac DM and couplings $g_{q}$= 0.25 and $g_{\chi}$ = 1 for various $m_{\chi}$ and $m_{\textrm{med}}$ values. It is constant as a function of $m_{\chi}$ for a fixed $m_{\textrm{med}}$ in the region $m_{\textrm{med}}>2m_{\chi}$.

The sumPT distribution in the Z+jets control region (electron channel). Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

The sumPT distribution in the Z+jets control region (muon channel). Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

The sumPT distribution in the ttbar control region (electron channel). Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

The sumPT distribution in the ttbar control region (muon channel). Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

The sumPT distribution in the electron channel. The selection is that of the signal regions except for the final requirement on sumPT. Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

The sumPT distribution in the muon channel. The selection is that of the signal regions except for the final requirement on sumPT. Expected background yields are given along with the total background uncertainty. The ttbar, W+jets and Z+jets backgrounds are normalised by the factors 0.95, 0.81 and 1.01 as obtained from the background likelihood fit. The single-top-quark and diboson background normalisations are taken from the simulation. The multijet background is obtained using a data-driven method. Additionally, the likelihood fit may constrain nuisance parameters for certain systematic uncertainties, altering the normalisation and shape of some of the distributions.

Expected and observed exclusion contours in the MTH, MD plane for models of rotating black holes with two, four and six extra dimensions simulated with Charybdis2 1.0.4. Masses below the corresponding lines are excluded.

Measured non-prompt J/psi differential cross-section multiplied by branching ratio. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity, the second is the luminosity.

Measured prompt J/psi differential cross-section multiplied by branching ratio. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity, the second is the luminosity.

Measured non-prompt J/psi differential cross-section multiplied by branching ratio. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity, the second is the luminosity.

Measured forward-backward production ratio.

Measured forward-backward production ratio.