The total inelastic cross section.

The measured differential elastic cross section. In addition to the statistical and total systematic uncertainties, the following 22 systematic shifts are given, which are included in the profile fit with their signs: -- Constraints: Beam optics uncertainty obtained by varying the ALFA constraints in the optics fit -- QScan: Variation by +/- 0.1 % of the quadrupole strength -- Q2: Fit of the strength of Q2 using the best value for the strength of Q1 and Q3 -- Q5Q6: Variation of the strength of Q5 and Q6 by -0.2% as indicated by machine constraints -- MadX: Uncertainty related to the beam transport replacing matrix transport by MadX PTC tracking -- Qmisal: Uncertainty due to the mis-alignment of the quadrupoles in the beam line -- Q1Q3: Propagation of the optics fit uncertainty in the strenght of Q1 and Q3 on the differential elastic cross section -- Aopt: Alignment uncertainty from the optimization procedure -- Offv: Alignment uncertainty related to the vertical beam center offset -- Offh: Alignment uncertainty related to the horizontal beam center offset -- Ang: Alignment uncertainty related to the detector rotation in the x-y plane -- BGn: Uncertainty from the background normalization -- BGs: Uncertainty from the background shape -- MCres: Error from modelling of the detector response -- Slope: Residual dependence on the physics model estimated by varying the nuclear slope in the simulation by +/- 1 GeV^-2 -- Emit: Uncertainty from the emittance used to calculate beam divergence in the simulation -- Unf: Unfolding uncertainty from the data-driven closure test -- Trac: Uncertainty from the variation of the track reconstruction selection cuts -- Xing: Uncertainty from residual crossing angle in the horizontal plane -- Eff: Uncertainty from the reconstruction efficiency -- Lumi: Luminosity uncertainty (+/- 1.5%) -- Ebeam: Uncertainty from the nominal beam energy (+/- 0.65%) Small differences in the values given here compared to the published version are related to insignificant rounding issues.

The statistical covariance matrix for the differential elastic cross section.

The measured differential cross-section normalized to the bin width in values of the angle between the leptons in the leading reconstructed lepton pair for the 4 lepton channel. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties.

The measured differential cross-section normalized to the bin width in values of the rapidity difference between the reconstructed lepton pairs for the 4 lepton channel. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties.

The measured differential cross-section normalized to the bin width in values of the leading reconstructed dilepton pT for the 2 lepton, 2 neutrino channel. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties.

The measured differential cross-section normalized to the bin width in values of the angle between the dilepton pair for the 2 lepton, 2 neutrino channel. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties.

The measured differential cross-section normalized to the bin width in values of the transverse mass of the reconstructed diboson pair for the 2 lepton, 2 neutrino channel. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties.

The jet charge distribution standard deviation for kappa = 0.3 and the more central jet. Values are given in units of the positron charge, e.

The jet charge mean for kappa = 0.5 and the more forward jet. Values are given in units of the positron charge, e.

The jet charge distribution standard deviation for kappa = 0.5 and the more forward jet. Values are given in units of the positron charge, e.

The jet charge mean for kappa = 0.5 and the more central jet. Values are given in units of the positron charge, e.

The jet charge distribution standard deviation for kappa = 0.5 and the more central jet. Values are given in units of the positron charge, e.

The jet charge mean for kappa = 0.7 and the more forward jet. Values are given in units of the positron charge, e.

The jet charge distribution standard deviation for kappa = 0.7 and the more forward jet. Values are given in units of the positron charge, e.

The jet charge mean for kappa = 0.7 and the more central jet. Values are given in units of the positron charge, e.

The jet charge distribution standard deviation for kappa = 0.7 and the more central jet. Values are given in units of the positron charge, e.

$R_{pPb}$ 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 $\langle T_{Pb} \rangle$.

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.

Kinematic distributions for "extended SR selections" of the 2-tau channel, for mTsum in the Compressed SR selection without the mTsum>1400 GeV requirement. The last bin includes overflow events. Cited uncertainties are statistical uncertainties only. Signal predictions are overlaid for several benchmark models, normalised to their predicted cross sections. For the simplified model, "MM" refers to a medium mass splitting, with m(gluino)=1145 GeV and m(neutralino)=265 GeV; "HM" denotes a high mass splitting scenario, with m(gluino)=1305 GeV and m(neutralino)=105 GeV. The GMSB benchmark model corresponds to Lambda = 90 TeV and tanbeta = 40.

Kinematic distributions for "extended SR selections" of the 2-tau channel, for mTtau1+mTtau2 in the High-Mass SR selection without the mTtau1+mTtau2>350GeV requirement. The last bin includes overflow events. Cited uncertainties are statistical uncertainties only. Signal predictions are overlaid for several benchmark models, normalised to their predicted cross sections. For the simplified model, "MM" refers to a medium mass splitting, with m(gluino)=1145 GeV and m(neutralino)=265 GeV; "HM" denotes a high mass splitting scenario, with m(gluino)=1305 GeV and m(neutralino)=105 GeV. The GMSB benchmark model corresponds to Lambda = 90 TeV and tanbeta = 40.

Kinematic distributions for "extended SR selections" of the 2-tau channel, for HT in the GMSB SR selection without the HT > 1700 GeV requirement. The last bin includes overflow events. Cited uncertainties are statistical uncertainties only. Signal predictions are overlaid for several benchmark models, normalised to their predicted cross sections. For the simplified model, "MM" refers to a medium mass splitting, with m(gluino)=1145 GeV and m(neutralino)=265 GeV; "HM" denotes a high mass splitting scenario, with m(gluino)=1305 GeV and m(neutralino)=105 GeV. The GMSB benchmark model corresponds to Lambda = 90 TeV and tanbeta = 40.

Expected exclusion contour at the 95% confidence level for the simplified model of gluino pair production, based on the combined results from the 1tau and 2tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data.

Observed exclusion contour at the 95% confidence level for the simplified model of gluino pair production, based on the combined results from the 1tau and 2tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data.

Expected exclusion contour at the 95% confidence level for the simplified model of gluino pair production, based on results from the 2tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data.

Expected exclusion contour at the 95% confidence level for the simplified model of gluino pair production, based on results from the 1tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data.

Observed exclusion contours at the 95% confidence level for the gauge-mediated supersymmetry-breaking model, based on results from the 2 tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data. Additional model parameters are M(mess) = 250 TeV, N5 = 3, mu>0 and Cgrav =1.

Expected exclusion contours at the 95% confidence level for the gauge-mediated supersymmetry-breaking model, based on results from the 2 tau channel. The result is obtained using 3.2 fb-1 of sqrt(s) = 13 TeV ATLAS data. Additional model parameters are M(mess) = 250 TeV, N5 = 3, mu>0 and Cgrav =1.

Observed upper cross section limits in pb for the simplified model of gluino pair production for the combination of all SRs.

Best expected signal region for the simplified model of gluino pair production. The respective SR has been used in the combination of the results.

Acceptance for the gluino production simplified model grid in the Compressed 1tau signal region.

Efficiency for the gluino production simplified model grid in the Compressed 1tau signal region.

Acceptance times Efficiency for the gluino production simplified model grid in the Compressed 1tau signal region.

Acceptance for the gluino production simplified model grid in the medium mass 1tau signal region.

Efficiency for the gluino production simplified model grid in the medium mass 1tau signal region.

Acceptance times Efficiency for the gluino production simplified model grid in the medium mass 1tau signal region.

Acceptance for the gluino production simplified model grid in the high mass 1tau signal region.

Efficiency for the gluino production simplified model grid in the high mass 1tau signal region.

Acceptance times Efficiency for the gluino production simplified model grid in the high mass 1tau signal region.

Acceptance for the gluino production simplified model grid in the compressed 2tau signal region.

Efficiency for the gluino production simplified model grid in the compressed 2tau signal region.

Acceptance times Efficiency for the gluino production simplified model grid in the compressed 2tau signal region.

Acceptance for the gluino production simplified model grid in the high mass 2tau signal region.

Efficiency for the gluino production simplified model grid in the high mass 2tau signal region.

Acceptance times Efficiency for the gluino production simplified model grid in the high mass 2tau signal region.

Acceptance for the GMSB model grid in the 2tau signal region.

Efficiency for the GMSB model grid in the 2tau signal region.

Acceptance times Efficiency for the GMSB model grid in the 2tau signal region.

Ratio of fiducial cross sections measured for $W^{\pm} Z$ production at $\sqrt{s}=13$ TeV and $\sqrt{s}=8$ TeV. The first systematic uncertainty is the combined systematic uncertainty excluding the luminosity uncertainty, the second is the luminosity uncertainty.

Ratio of fiducial cross sections measured for $W^{+} Z$ and $W^{-} Z$ production.

Cross section extrapolated to total phase space and all W and Z boson decays. The first systematic uncertainty is the combined systematic uncertainty excluding theory and luminosity uncertainties, the second is the theory uncertainty and the third is the luminosity uncertainty.

The measured fiducial cross sections are corrected to the dressed level. The ratio of $C_{WZ}^{\textrm{dressed}}/C_{WZ}^{\textrm{Born}}$ factors presented in this table can be used to correct fiducial integrated cross sections from dressed to Born level.

Measured fiducial cross section as a function of the exclusive jet multiplicity, where jets are particle level jets with anti-kt R=0.4. The first systematic uncertainty is the combined systematic uncertainty excluding theory and luminosity uncertainties, the second is the luminosity uncertainty. The last bin is a cross section for all events above the lower end of the bin.

The total cross section is measured at dressed level and can also be corrected to Born level use this acceptance correction factor.

Correlation matrix for the total uncertainties, including all sources of systematic and statistical uncertainties, for the differential cross section as a function of the exclusive jet multiplicity.

All correlated systematic relative uncertainties in percent on measured differential cross section as a function of the exclusive jet multiplicity.

Expected 95% CL lower limit on the VLQ $T$ mass as a function of the decay branching ratios into $W b$ and $Ht$.

Observed 95% CL lower limit on the VLQ $T$ mass as a function of the decay branching ratios into $W b$ and $Ht$.

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.