The cumulant $c_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.

The elliptic flow $v_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.

The elliptic flow $v_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.

The elliptic flow $v_2\{\text{LYZ}\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in PbPb collisions.

The elliptic flow $v_2\{6\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.

The elliptic flow $v_2\{8\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.

The elliptic flow $v_2\{\text{LYZ}\}$ extracted for all charged particles with $0.3 < p_T < 3.0$ GeV/c as a function of $N_{trk}^{offline}$ in pPb collisions.

The cumulant ratio $c_2\{6\}/v_2\{4\}$ as a function of $c_2\{4\}/v_2\{2\}$ in pPb collisions.

The cumulant ratio $c_2\{8\}/v_2\{6\}$ as a function of $c_2\{4\}/v_2\{2\}$ in pPb collisions.

The cumulant ratio $c_2\{6\}/v_2\{4\}$ as a function of $c_2\{4\}/v_2\{2\}$ in PbPb collisions.

The cumulant ratio $c_2\{8\}/v_2\{6\}$ as a function of $c_2\{4\}/v_2\{2\}$ in PbPb collisions.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K_{S}^{0}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the $N_{offline}^{trk}$ < 35 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 35 $\leq N_{offline}^{trk}$ < 60 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 60 $\leq N_{offline}^{trk}$ < 120 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in pPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in pPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.

The elliptic flow v2(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 120 $\leq N_{offline}^{trk}$ < 150 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 150 $\leq N_{offline}^{trk}$ < 185 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 220 multiplicity class in PbPb.

The elliptic flow per constituent quark v2(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 220 $\leq N_{offline}^{trk}$ < 260 multiplicity class in PbPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.

The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.

The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in PbPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for all charged particles as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $K^{0}_{S}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.

The triangular flow v3(2, $|\Delta\eta| > 2$) extracted for $\Lambda/\bar{\Lambda}$ as a function of $p_{T}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.

The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $K^{0}_{S}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.

The triangular flow per constituent quark v3(2, $|\Delta\eta| > 2$)/$n_{q}$ extracted for $\Lambda/\bar{\Lambda}$ as a function of transverse kinetic energy per constituent quark $KE_{T}/n_{q}$ from the correlation in the 185 $\leq N_{offline}^{trk}$ < 350 multiplicity class in pPb.

Parametrization factors for the $m_{t}$ dependence [see Eq. (4) in the paper] of $\sigma(tq)$, $\sigma(\bar tq)$, and $\sigma(t q+\bar t q)$.

The value of $|V_{tb}|^{2}$ is extracted by dividing the measured value of $\sigma(t q+\bar t q)$ by the prediction of the approximate NNLO calculation. The experimental and theoretical uncertainties are added in quadrature.

Event yields for the 2-jet-$\ell^{+}$ and 2-jet-$\ell^{-}$ HPR channels. The expectation for the signal and background yields correspond to the result of the binned maximum-likelihood fit described in Sec. $\mathrm{VI~D}$ in the paper. The uncertainty of the expectations is the normalization uncertainty of each process after the fit, as described in Sec. $\mathrm{VII~F}$ in the paper.

Migration matrix relating the parton level $p_{\mathrm{T}}(t)$ shown on the $y$ axis and the reconstruction level $p_{\mathrm{T}}(\ell \nu b)$ shown on the $x$ axis for the top-quark $p_{\mathrm{T}}$ distribution.

Migration matrix relating the parton level $p_{\mathrm{T}}(\bar t)$ shown on the $y$ axis and the reconstruction level $p_{\mathrm{T}}(\ell \nu b)$ shown on the $x$ axis for the top-antiquark $p_{\mathrm{T}}$ distribution.

Migration matrix relating the parton level $|y(t)|$ shown on the $y$ axis and the reconstruction level $|y(\ell \nu b)|$ shown on the $x$ axis for the top-quark $|y|$ distribution.

Migration matrix relating the parton level $|y(\bar t)|$ shown on the $y$ axis and the reconstruction level $|y(\ell \nu b)|$ shown on the $x$ axis for the top-antiquark $|y|$ distribution.

Differential t-channel top-quark production cross section as a function of $p_{\mathrm{T}}(t)$ with the uncertainties for each bin given in percent.

Differential t-channel top-quark production cross section as a function of $p_{\mathrm{T}}(\bar t)$ with the uncertainties for each bin given in percent.

Differential t-channel top-quark production cross section as a function of $|y(t)|$ with the uncertainties for each bin given in percent.

Differential t-channel top-quark production cross section as a function of $|y(\bar t)|$ with the uncertainties for each bin given in percent.

Normalized differential t-channel top-quark production cross section as a function of $p_{\mathrm{T}}(t)$ with the uncertainties for each bin given in percent.

Normalized differential t-channel top-quark production cross section as a function of $p_{\mathrm{T}}(\bar t)$ with the uncertainties for each bin given in percent.

Normalized differential t-channel top-quark production cross section as a function of $|y(t)|$ with the uncertainties for each bin given in percent.

Normalized differential t-channel top-quark production cross section as a function of $|y(\bar t)|$ with the uncertainties for each bin given in percent.

Comparison between the measured differential cross sections and the predictions from the NLO calculation using the MSTW2008 PDF set. For each variable and prediction a $\chi^{2}$ value is calculated with HERAfitter using the covariance matrix of each measured spectrum. The theory uncertainties of the predictions are treated as uncorrelated. The number of degrees of freedom (NDF) is equal to the number of bins in the measured spectrum.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, jet-vertex fraction, $b/\bar{b}$ acceptance, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets shape variation, and $t \bar{t}$ generator. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(\bar t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, mistag efficiency, $b/\bar{b}$ acceptance, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets shape variation, and $t \bar{t}$ generator. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, jet-vertex fraction, $b/\bar{b}$ acceptance, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets shape variation, $t \bar{t}$ generator, $t \bar{t}$ ISR/FSR, and unfolding. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(\bar t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, $b/\bar{b}$ acceptance, mistag efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets shape variation, $t \bar{t}$ generator, $t \bar{t}$ ISR/FSR, and unfolding. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The JES $\eta$ intercalibration uncertainty has a sign switch from the first to the second bin. For the $tq$ generator $+$ parton shower uncertainty a sign switch is denoted with $\mp$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, $b/\bar{b}$ acceptance, $c-$tagging efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, lepton uncertainties, $W+$ jets shape variation, and $t \bar{t}$ generator. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(\bar t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. Sign switches within one uncertainty are denoted with $\mp$ and $\pm$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, $b/\bar{b}$ acceptance, mistag efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, lepton uncertainties, $W+$ jets shape variation, and $t \bar{t}$ generator. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. Sign switches within one uncertainty are denoted with $\mp$ and $\pm$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, b-JES, jet-vertex fraction, $b/\bar{b}$ acceptance, $b-$tagging efficiency, $c-$tagging efficiency, mistag efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, lepton uncertainties, $W+$jets shape variation, $t \bar{t}$ generator, $t \bar{t}$ISR/FSR, and unfolding. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(\bar t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. Sign switches within one uncertainty are denoted with $\mp$ and $\pm$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content $:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, b-JES, jet energy resolution, jet-vertex fraction, $b/\bar{b}$ acceptance, $b-$tagging efficiency, $c-$ tagging efficiency, mistag efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, lepton uncertainties, $W+$ jets shape variation, $t \bar{t}$ generator, $t \bar{t}$ ISR/FSR, and unfolding. In cases when the uncertainty is report to be "$<1\%$" in the table of the paper the uncertainty is approximated by a value of $0.5\%$.

Statistical correlation matrices for the differential cross section as a function of $p_{\mathrm{T}}(t)$.

Statistical correlation matrices for the differential cross section as a function of $p_{\mathrm{T}}(\bar t)$.

Statistical correlation matrices for the differential cross section as a function of $|y(t)|$.

Statistical correlation matrices for the differential cross section as a function of $|y(\bar t)|$.

Statistical correlation matrices for the normalized differential cross section as a function of $p_{\mathrm{T}}(t)$.

Statistical correlation matrices for the normalized differential cross section as a function of $p_{\mathrm{T}}(\bar t)$.

Statistical correlation matrices for the normalized differential cross section as a function of $|y(t)|$.

Statistical correlation matrices for the normalized differential cross section as a function of $|y(\bar t)|$.

Fiducial $W+b$-jets cross-section correlations of statistical errors in the 1-jet region in bins of $p_T^{b-jet}$.

Fiducial $W+b$-jets cross-section correlations of systematic errors in the 1-jet region in bins of $p_T^{b-jet}$.

Fiducial $W+b$-jets cross-section correlations of statistical errors in the 1-jet region in bins of $p_T^{b-jet}$ without single-top subtraction.

Fiducial $W+b$-jets cross-section correlations of systematic errors in the 1-jet region in bins of $p_T^{b-jet}$ without single-top subtraction.

Measured fiducial $W+b$-jets cross-section in the 2-jet region with statistical and systematic uncertainties in bins of $p_T^{b-jet}$. Also shown are the cross sections obtained without single-top subtraction. UPDATE (04 MAY 2019): units corrected from nb/GeV to fb/GeV.

Fiducial $W+b$-jets cross-section correlations of statistical errors in the 2-jet region in bins of $p_T^{b-jet}$.

Fiducial $W+b$-jets cross-section correlations of systematic errors in the 2-jet region in bins of $p_T^{b-jet}$.

Fiducial $W+b$-jets cross-section correlations of statistical errors in the 2-jet region in bins of $p_T^{b-jet}$ without single-top subtraction.

Fiducial $W+b$-jets cross-section correlations of systematic errors in the 2-jet region in bins of $p_T^{b-jet}$ without single-top subtraction.

Multiplicative correction factors for non-perturbative effects and additive corrections for double-parton interactions, derived from the ALPGEN simulation, applied to the MCFM and POWHEG predictions for the comparisons with unfolded results. The non-perturbative uncertainties include the hadronization and underlying event modelling, while the DPI uncertainties are based on the ATLAS measurement of $\sigma_{\rm eff}$.

Multiplicative correction factors for non-perturbative effects and additive corrections for double-parton interactions, derived from the ALPGEN simulation, applied to the MCFM and POWHEG predictions for the comparisons with unfolded results. The non-perturbative uncertainties include the hadronization and underlying event modelling, while the DPI uncertainties are based on the ATLAS measurement of $\sigma_{\rm eff}$.

Theoretical NLO predictions for the $W+b$-jet fiducial cross-section for one lepton flavour calculated with the MCFM program, corrected for non-perturbative effects and DPI contributions.

Normalised fiducial cross section in bins of the leading lepton PT. Leading Lepton is the lepton in the final state with highest PT.

Correlations in the leading Lepton PT distribution.

Correlations in the PT distribution.

Normalised fiducial cross section in bins of the Mass of the WZ.

Correlations in the Mass distribution.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<2$.

$\sqrt{s} = 900$ GeV, $p_T > 500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 900$ GeV, $p_T > 500 $ MeV, $|\eta|<1$.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<1$.

$\sqrt{s} = 900$ GeV, $p_T > 500 $ MeV, $|\eta|<2$.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<2$.

$\sqrt{s} = 900$ GeV, $p_T > 500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 100 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 200 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 300 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 1000 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 1500 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 2000 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 7$ TeV, $\eta$ interval: $0.0 - 0.5$.

$\sqrt{s} = 7$ TeV, $\eta$ interval: $0.5 - 1.0$.

$\sqrt{s} = 7$ TeV, $\eta$ interval: $1.0 - 1.5$.

$\sqrt{s} = 7$ TeV, $\eta$ interval: $1.5 - 2.0$.

$\sqrt{s} = 7$ TeV, $\eta$ interval: $2.0 - 2.5$.

$\sqrt{s} = 7$ TeV, $p_T > 100 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 900$ GeV, $p_T > 100 $ MeV, $|\eta|<2.5$.

$\sqrt{s} = 900$ GeV, $p_T > 100 $ MeV, $|\eta|<2.5$.

Cross section as a function of DELTA(PHI) for leading jet transverse momentum > 56 GeV. . The (sys) error in the table is due to the limited MC statistics and is uncorrelated bin-to-bin. The other two systematic errors are correlated.

Cross section as a function of DELTA(PHI) for leading jet transverse momentum > 84 GeV. . The (sys) error in the table is due to the limited MC statistics and is uncorrelated bin-to-bin. The other two systematic errors are correlated.

Cross section as a function of DELTA(PHI) for leading jet transverse momentum > 120 GeV. . The (sys) error in the table is due to the limited MC statistics and is uncorrelated bin-to-bin. The other two systematic errors are correlated.