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CMS-PAS-TOP-20-006
Measurement of differential cross sections for the production of top quark pairs and of additional jets in pp collisions at $\sqrt{s}= $ 13 TeV
Abstract: Differential cross sections for top quark pair ($\mathrm{t\bar{t}}$) production are measured in proton-proton collisions at a centre-of-mass energy of 13 TeV using a sample of events containing two oppositely charged leptons. The data were recorded with the CMS detector at the LHC and correspond to an integrated luminosity of 138 fb$^{-1}$. Differential cross sections are measured as functions of kinematic observables of the $\mathrm{t\bar{t}}$ system, the top quark and antiquark and their decay products, and the number of additional jets in the event not originating from the $\mathrm{t\bar{t}}$ decay. These cross sections are measured as function of one, two, or three variables and are presented at the parton and particle levels. The measurements are compared to standard model predictions of Monte Carlo event generators with next-to-leading-order accuracy in quantum chromodynamics (QCD) at matrix-element level interfaced to parton showers. Some of the measurements are also confronted with predictions beyond next-to-leading-order precision in QCD. The nominal predictions from all calculations, neglecting theoretical uncertainties, do not describe well several of the measured cross sections, and the deviations are found to be largest for the multi-differential cross sections. (This document has been revised with respect to the version dated March 14th, 2022.)
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Example of a Feynman diagram for $\mathrm{t\bar{t}}$ plus additional jet production in pp collisions and subsequent dileptonic decay of the $\mathrm{t\bar{t}}$ system.

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Figure 2:
Distributions of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (middle left), and ${N_{\text {jet}}}$ (lower right) obtained in selected events with the full kinematic reconstruction. The data with vertical bars corresponding to their statistical uncertainties are plotted together with distributions of simulated signal and background processes. The hatched regions depict the shape uncertainties in the signal and backgrounds (as detailed in Section 7). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.

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Figure 2-a:
Distributions of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (middle left), and ${N_{\text {jet}}}$ (lower right) obtained in selected events with the full kinematic reconstruction. The data with vertical bars corresponding to their statistical uncertainties are plotted together with distributions of simulated signal and background processes. The hatched regions depict the shape uncertainties in the signal and backgrounds (as detailed in Section 7). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.

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Figure 2-b:
Distributions of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (middle left), and ${N_{\text {jet}}}$ (lower right) obtained in selected events with the full kinematic reconstruction. The data with vertical bars corresponding to their statistical uncertainties are plotted together with distributions of simulated signal and background processes. The hatched regions depict the shape uncertainties in the signal and backgrounds (as detailed in Section 7). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.

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Figure 2-c:
Distributions of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (middle left), and ${N_{\text {jet}}}$ (lower right) obtained in selected events with the full kinematic reconstruction. The data with vertical bars corresponding to their statistical uncertainties are plotted together with distributions of simulated signal and background processes. The hatched regions depict the shape uncertainties in the signal and backgrounds (as detailed in Section 7). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.

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Figure 2-d:
Distributions of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (middle left), and ${N_{\text {jet}}}$ (lower right) obtained in selected events with the full kinematic reconstruction. The data with vertical bars corresponding to their statistical uncertainties are plotted together with distributions of simulated signal and background processes. The hatched regions depict the shape uncertainties in the signal and backgrounds (as detailed in Section 7). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.

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Figure 3:
Distributions of ${y( \mathrm{t\bar{t}})}$ (left) and ${m( \mathrm{t\bar{t}})}$ (right) obtained in selected events with the full (upper) and the loose kinematic reconstruction (lower). Further details can be found in the caption of Fig. 2.

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Figure 3-a:
Distributions of ${y( \mathrm{t\bar{t}})}$ (left) and ${m( \mathrm{t\bar{t}})}$ (right) obtained in selected events with the full (upper) and the loose kinematic reconstruction (lower). Further details can be found in the caption of Fig. 2.

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Figure 3-b:
Distributions of ${y( \mathrm{t\bar{t}})}$ (left) and ${m( \mathrm{t\bar{t}})}$ (right) obtained in selected events with the full (upper) and the loose kinematic reconstruction (lower). Further details can be found in the caption of Fig. 2.

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Figure 3-c:
Distributions of ${y( \mathrm{t\bar{t}})}$ (left) and ${m( \mathrm{t\bar{t}})}$ (right) obtained in selected events with the full (upper) and the loose kinematic reconstruction (lower). Further details can be found in the caption of Fig. 2.

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Figure 3-d:
Distributions of ${y( \mathrm{t\bar{t}})}$ (left) and ${m( \mathrm{t\bar{t}})}$ (right) obtained in selected events with the full (upper) and the loose kinematic reconstruction (lower). Further details can be found in the caption of Fig. 2.

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Figure 4:
Reweighting test for the extraction of the normalized differential cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (left) and ${m(\ell \overline {\ell})}$ (right). The former cross section is measured at parton level in the full phase space and the latter at particle level in a fiducial phase space. The nominal $\mathrm{t\bar{t}}$ signal MC spectra are shown as dotted histograms and the assumed true spectra, obtained from reweighting, as solid histograms. The unfolded spectra, using pseudo-data based on the true spectra but using the nominal spectra for the detector corrections and bias vector in the regularization, are presented as open circles. The unfolded spectra with the regularization switched off are also shown (open triangles). The statistical uncertainties in the unfolded cross sections are represented by a vertical bar on the corresponding points. The lower panel in each plot shows the ratios of the pseudo-data to the predicted spectra.

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Figure 4-a:
Reweighting test for the extraction of the normalized differential cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (left) and ${m(\ell \overline {\ell})}$ (right). The former cross section is measured at parton level in the full phase space and the latter at particle level in a fiducial phase space. The nominal $\mathrm{t\bar{t}}$ signal MC spectra are shown as dotted histograms and the assumed true spectra, obtained from reweighting, as solid histograms. The unfolded spectra, using pseudo-data based on the true spectra but using the nominal spectra for the detector corrections and bias vector in the regularization, are presented as open circles. The unfolded spectra with the regularization switched off are also shown (open triangles). The statistical uncertainties in the unfolded cross sections are represented by a vertical bar on the corresponding points. The lower panel in each plot shows the ratios of the pseudo-data to the predicted spectra.

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Figure 4-b:
Reweighting test for the extraction of the normalized differential cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (left) and ${m(\ell \overline {\ell})}$ (right). The former cross section is measured at parton level in the full phase space and the latter at particle level in a fiducial phase space. The nominal $\mathrm{t\bar{t}}$ signal MC spectra are shown as dotted histograms and the assumed true spectra, obtained from reweighting, as solid histograms. The unfolded spectra, using pseudo-data based on the true spectra but using the nominal spectra for the detector corrections and bias vector in the regularization, are presented as open circles. The unfolded spectra with the regularization switched off are also shown (open triangles). The statistical uncertainties in the unfolded cross sections are represented by a vertical bar on the corresponding points. The lower panel in each plot shows the ratios of the pseudo-data to the predicted spectra.

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Figure 5:
The individual sources of systematic uncertainty in various parton-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 5-a:
The individual sources of systematic uncertainty in various parton-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 5-b:
The individual sources of systematic uncertainty in various parton-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 5-c:
The individual sources of systematic uncertainty in various parton-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 6:
The individual sources of systematic uncertainty in various particle-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 6-a:
The individual sources of systematic uncertainty in various particle-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 6-b:
The individual sources of systematic uncertainty in various particle-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 6-c:
The individual sources of systematic uncertainty in various particle-level measurements and their relative contributions to the overall uncertainty, separately for upward and downward variations. The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties summed in quadrature) are shown as dark and light bands, respectively.

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Figure 7:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 7-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 7-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 7-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 7-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 8:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 8-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 8-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 8-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 8-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 9:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-e:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 9-f:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The ${m( \mathrm{t\bar{t}})}$ distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 7.

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Figure 10:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 10-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 10-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 10-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 10-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 11:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 11-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 11-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 11-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 11-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 12:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 12-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 12-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 12-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 12-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 13:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 13-a:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 13-b:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 14:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 14-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 14-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 15:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 15-a:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 15-b:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 16:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 16-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 16-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 17:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 17-a:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 17-b:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 18:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 18-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 18-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 19:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 19-a:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 19-b:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 20:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 20-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 20-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 21:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 21-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 21-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 22:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 22-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 22-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 13.

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Figure 23:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. The cross sections are compared to various MC predictions (other points). For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 23-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. The cross sections are compared to various MC predictions (other points). For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 23-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. The cross sections are compared to various MC predictions (other points). For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 23-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. The cross sections are compared to various MC predictions (other points). For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 24:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 23.

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Figure 24-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 23.

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Figure 24-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 23.

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Figure 24-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 23.

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Figure 25:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 23.

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Figure 25-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 23.

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Figure 25-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 23.

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Figure 25-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). The distributions are also compared to POWHEG+PYTHIA-8 (`POW-PYT') simulations with different values of ${m_{\mathrm{t}}^{\text {MC}}}$. Further details can be found in the caption of Fig. 23.

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Figure 26:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 26-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 26-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 27:
Normalized $[ {|\eta (\ell \overline {\ell})|},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 28:
Normalized $[ {|\eta (\ell \overline {\ell})|},\,{{p_{\mathrm {T}}} (\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 29:
Normalized $[ {{p_{\mathrm {T}}} (\ell \overline {\ell})},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 30:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 30-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 30-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 30-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 30-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 31-a:
Normalized $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 31-b:
Normalized $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 32-a:
Normalized $[ {N_{\text {jet}}},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 32-b:
Normalized $[ {N_{\text {jet}}},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 33-a:
Normalized $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 33-b:
Normalized $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 34-a:
Normalized $[ {N_{\text {jet}}},\,{m( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 34-b:
Normalized $[ {N_{\text {jet}}},\,{m( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 35-a:
Normalized $[ {N_{\text {jet}}},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 35-b:
Normalized $[ {N_{\text {jet}}},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 36-a:
Normalized $[ {N_{\text {jet}}},\,{\Delta \eta (\mathrm{t},\mathrm{\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 36-b:
Normalized $[ {N_{\text {jet}}},\,{\Delta \eta (\mathrm{t},\mathrm{\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 37-a:
Normalized $[N^{0,1+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 37-b:
Normalized $[N^{0,1+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 38-a:
Normalized $[N^{0,1,2+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 38-b:
Normalized $[N^{0,1,2+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 39-a:
Normalized $[N^{0,1,2,3+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 39-b:
Normalized $[N^{0,1,2,3+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 31.

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Figure 40:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 40-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 40-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 40-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 40-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 41:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 41-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 41-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 41-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 41-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-e:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 42-f:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 43:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 43-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 43-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 43-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 43-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 44:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 44-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 44-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 44-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 44-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 40.

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Figure 45:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 40.

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Figure 45-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 40.

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Figure 45-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 40.

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Figure 45-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 40.

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Figure 45-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 40.

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Figure 46:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 46-a:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 46-b:
Normalized $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 47:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 47-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 47-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 48:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 48-a:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 48-b:
Normalized $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 49:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 49-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 49-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 50:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 50-a:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 50-b:
Normalized $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 51:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 51-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 51-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 52:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 46.

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Figure 52-a:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 46.

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Figure 52-b:
Normalized $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 46.

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Figure 53:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 53-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 53-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 54:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 54-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 54-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 55:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 55-a:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 55-b:
Normalized $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 46.

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Figure 56:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 56-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 56-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 56-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 57:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 57-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 57-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 57-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 58:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 58-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 58-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 58-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 59:
Normalized $[ {|\eta (\ell \overline {\ell})|},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 60:
Normalized $[ {|\eta (\ell \overline {\ell})|},\,{{p_{\mathrm {T}}} (\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 61:
Normalized $[ {{p_{\mathrm {T}}} (\ell \overline {\ell})},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 56.

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Figure 62:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${m( \mathrm{t\bar{t}})}$ (bottom left), and ${y( \mathrm{t\bar{t}})}$ (bottom right), measured at the parton level in the full phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets. The nominal prediction (open circles) uses the PDF set NNPDF3.1 at NNLO accuracy, assuming a top quark mass value of 172.5 GeV and $\alpha _s = 0.118$. The alternative PDF sets (other points) constitute NNPDF3.1, CT14, ABMP16, MMHT2014, and HERAPDF2.0 at NLO accuracy and assume the same values for the top quark mass and $\alpha _s$ as the nominal NNPDF3.1 NNLO PDF set. The estimated uncertainties in the nominal prediction are represented by a vertical bar on the corresponding points. For each PDF set, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 62-a:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${m( \mathrm{t\bar{t}})}$ (bottom left), and ${y( \mathrm{t\bar{t}})}$ (bottom right), measured at the parton level in the full phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets. The nominal prediction (open circles) uses the PDF set NNPDF3.1 at NNLO accuracy, assuming a top quark mass value of 172.5 GeV and $\alpha _s = 0.118$. The alternative PDF sets (other points) constitute NNPDF3.1, CT14, ABMP16, MMHT2014, and HERAPDF2.0 at NLO accuracy and assume the same values for the top quark mass and $\alpha _s$ as the nominal NNPDF3.1 NNLO PDF set. The estimated uncertainties in the nominal prediction are represented by a vertical bar on the corresponding points. For each PDF set, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 62-b:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${m( \mathrm{t\bar{t}})}$ (bottom left), and ${y( \mathrm{t\bar{t}})}$ (bottom right), measured at the parton level in the full phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets. The nominal prediction (open circles) uses the PDF set NNPDF3.1 at NNLO accuracy, assuming a top quark mass value of 172.5 GeV and $\alpha _s = 0.118$. The alternative PDF sets (other points) constitute NNPDF3.1, CT14, ABMP16, MMHT2014, and HERAPDF2.0 at NLO accuracy and assume the same values for the top quark mass and $\alpha _s$ as the nominal NNPDF3.1 NNLO PDF set. The estimated uncertainties in the nominal prediction are represented by a vertical bar on the corresponding points. For each PDF set, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 62-c:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${m( \mathrm{t\bar{t}})}$ (bottom left), and ${y( \mathrm{t\bar{t}})}$ (bottom right), measured at the parton level in the full phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets. The nominal prediction (open circles) uses the PDF set NNPDF3.1 at NNLO accuracy, assuming a top quark mass value of 172.5 GeV and $\alpha _s = 0.118$. The alternative PDF sets (other points) constitute NNPDF3.1, CT14, ABMP16, MMHT2014, and HERAPDF2.0 at NLO accuracy and assume the same values for the top quark mass and $\alpha _s$ as the nominal NNPDF3.1 NNLO PDF set. The estimated uncertainties in the nominal prediction are represented by a vertical bar on the corresponding points. For each PDF set, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 62-d:
Normalized differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper left), ${y(\mathrm{t})}$ (upper right), ${m( \mathrm{t\bar{t}})}$ (bottom left), and ${y( \mathrm{t\bar{t}})}$ (bottom right), measured at the parton level in the full phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets. The nominal prediction (open circles) uses the PDF set NNPDF3.1 at NNLO accuracy, assuming a top quark mass value of 172.5 GeV and $\alpha _s = 0.118$. The alternative PDF sets (other points) constitute NNPDF3.1, CT14, ABMP16, MMHT2014, and HERAPDF2.0 at NLO accuracy and assume the same values for the top quark mass and $\alpha _s$ as the nominal NNPDF3.1 NNLO PDF set. The estimated uncertainties in the nominal prediction are represented by a vertical bar on the corresponding points. For each PDF set, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 63:
Normalized ${\log(\xi _{1})}$ (upper left), ${\log(\xi _{2})}$ (upper right), and $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ (bottom) cross sections are shown for data (filled circles) and predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 62.

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Figure 63-a:
Normalized ${\log(\xi _{1})}$ (upper left), ${\log(\xi _{2})}$ (upper right), and $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ (bottom) cross sections are shown for data (filled circles) and predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 62.

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Figure 63-b:
Normalized ${\log(\xi _{1})}$ (upper left), ${\log(\xi _{2})}$ (upper right), and $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ (bottom) cross sections are shown for data (filled circles) and predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 62.

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Figure 63-c:
Normalized ${\log(\xi _{1})}$ (upper left), ${\log(\xi _{2})}$ (upper right), and $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ (bottom) cross sections are shown for data (filled circles) and predictions from the POWHEG+PYTHIA-8 (`POW-PYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 62.

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Figure 64:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 64-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 64-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 64-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 64-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 65:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 65-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 65-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 65-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 65-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 66:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-e:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 66-f:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle) and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 7.

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Figure 67:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 67-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 67-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 67-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 67-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 68:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 68-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 68-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 68-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 68-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 69:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 69-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 69-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 69-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 69-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for the data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 64.

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Figure 70:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 70-a:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 70-b:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 71:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 71-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 71-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 72:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 72-a:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 72-b:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 73:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 73-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 73-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 74:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 74-a:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 74-b:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 75:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 75-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 75-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 76:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 76-a:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 76-b:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 77:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 77-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 77-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 78:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 78-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 78-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 79:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 79-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 79-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 70.

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Figure 80:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 80-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 80-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 80-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 81:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 80.

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Figure 81-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 80.

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Figure 81-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 80.

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Figure 81-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower). Further details can be found in the caption of Fig. 80.

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Figure 82:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right) and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 82-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right) and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 82-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right) and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 82-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right) and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 83:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 83-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 83-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\ell \overline {\ell})}$ (left) and ${|\eta (\ell \overline {\ell})|}$ (right) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23.

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Figure 84:
Absolute $[ {|\eta (\ell \overline {\ell})|},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 85:
Absolute $[ {|\eta (\ell \overline {\ell})|},\,{{p_{\mathrm {T}}} (\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 86:
Absolute $[ {{p_{\mathrm {T}}} (\ell \overline {\ell})},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 80.

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Figure 87:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 87-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 87-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 87-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 87-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${N_{\text {jet}}}$, for a minimum jet ${p_{\mathrm {T}}}$ of 40 GeV (upper) and and 100 GeV (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 88-a:
Absolute $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total (sum in quadrature of statistical and systematic) uncertainties, respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 88-b:
Absolute $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total (sum in quadrature of statistical and systematic) uncertainties, respectively. The cross sections are compared to various MC predictions (other points). The estimated uncertainties in the POWHEG+PYTHIA-8 (`POW-PYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 89-a:
Absolute $[ {N_{\text {jet}}},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 89-b:
Absolute $[ {N_{\text {jet}}},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 90-a:
Absolute $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 90-b:
Absolute $[ {N_{\text {jet}}},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 91-a:
Absolute $[ {N_{\text {jet}}},\,{m( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 91-b:
Absolute $[ {N_{\text {jet}}},\,{m( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 92-a:
Absolute $[ {N_{\text {jet}}},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 92-b:
Absolute $[ {N_{\text {jet}}},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 93-a:
Absolute $[ {N_{\text {jet}}},\,{\Delta \eta (\mathrm{t},\mathrm{\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 93-b:
Absolute $[ {N_{\text {jet}}},\,{\Delta \eta (\mathrm{t},\mathrm{\bar{t}})} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 94-a:
Absolute $[N^{0,1+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 94-b:
Absolute $[N^{0,1+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 95-a:
Absolute $[N^{0,1,2+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 95-b:
Absolute $[N^{0,1,2+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 96-a:
Absolute $[N^{0,1,2,3+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 96-b:
Absolute $[N^{0,1,2,3+}_{\text {jet}},\, {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 88.

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Figure 97:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 97-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 97-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 97-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 97-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} (\mathrm{t})}$ (upper) and ${{p_{\mathrm {T}}} (\mathrm{\bar{t}})}$ (lower), measured at the parton level in the full phase space (left) and at the particle level in a fiducial phase space (right). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 98:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 98-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 98-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 98-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 98-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${y(\mathrm{t})}$ (upper) and ${y(\mathrm{\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-e:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 99-f:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})}$ (upper), ${m( \mathrm{t\bar{t}})}$ (middle), and ${y( \mathrm{t\bar{t}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 100:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 100-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 100-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 100-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 100-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|}$ (upper) and ${|y(\mathrm{t})|-|y(\mathrm{\bar{t}})|}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 101:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 101-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 101-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 101-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 101-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of $ {{p_{\mathrm {T}}} (\mathrm{t})} / {m( \mathrm{t\bar{t}})}$ (upper) and $ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} / {{m( \mathrm{t\bar{t}})}}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 97.

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Figure 102:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 97.

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Figure 102-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 97.

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Figure 102-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 97.

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Figure 102-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 97.

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Figure 102-d:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${\log(\xi _{1})}$ (upper) and ${\log(\xi _{2})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 97.

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Figure 103:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 103-a:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 103-b:
Absolute $[ {|y(\mathrm{t})|},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and various theoretical predictions with beyond-NLO precision (other points). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 104:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 104-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 104-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} (\mathrm{t})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 105:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 105-a:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 105-b:
Absolute $[ {{p_{\mathrm {T}}} (\mathrm{t})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 106:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 106-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 106-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y( \mathrm{t\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 107:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 107-a:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 107-b:
Absolute $[ {|y( \mathrm{t\bar{t}})|},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 108:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 108-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 108-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 109:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and StripperOnly NNLO calculation (stars). Further details can be found in the caption of Fig. 103.

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Figure 109-a:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and StripperOnly NNLO calculation (stars). Further details can be found in the caption of Fig. 103.

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Figure 109-b:
Absolute $[ {{p_{\mathrm {T}}} ( \mathrm{t\bar{t}})},\,{m( \mathrm{t\bar{t}})},\,{y( \mathrm{t\bar{t}})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and StripperOnly NNLO calculation (stars). Further details can be found in the caption of Fig. 103.

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Figure 110:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 110-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 110-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|y(\mathrm{t})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 111:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 111-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 111-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \eta (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 112:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 112-a:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 112-b:
Absolute $[ {m( \mathrm{t\bar{t}})},\,{|\Delta \phi (\mathrm{t},\mathrm{\bar{t}})|} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and various theoretical predictions with beyond-NLO precision (other points). Further details can be found in the caption of Fig. 103.

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Figure 113:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 113-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 113-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 113-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${p_{\mathrm {T}}}$ of the lepton (upper left), of the ratio of the trailing and leading lepton ${p_{\mathrm {T}}}$ (upper right), and of the ratio of lepton and top antiquark ${p_{\mathrm {T}}}$ (lower middle), measured at the particle level in a fiducial phase space. The data are shown as filled circles with dark and light bands indicating the statistical and total uncertainties (statistical and systematic uncertainties summed in quadrature), respectively. The cross sections are compared to predictions from the POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation and Stripper NNLO calculation (stars). The estimated uncertainties in the predictions are represented by a vertical bar on the corresponding points. For each model, a value of ${\chi ^2}$ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data.

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Figure 114:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

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Figure 114-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

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Figure 114-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

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Figure 114-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of the ${p_{\mathrm {T}}}$ of the leading (upper left) and trailing (upper right) b jet, and $( {{p_{\mathrm {T}}}}(\rm {b})+ {{p_{\mathrm {T}}}}(\mathrm{b\bar{b}}))/( {{p_{\mathrm {T}}}}(\rm {t})+ {{p_{\mathrm {T}}}}(\mathrm{\bar{t}}))$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

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Figure 115:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 115-a:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 115-b:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 115-c:
Absolute differential $\mathrm{t\bar{t}}$ production cross sections as a function of ${m(\ell \overline {\ell})}$ (upper left), ${m(\mathrm{b} \mathrm{\bar{b}})}$ (upper right), and ${m(\ell \overline {\ell}\mathrm{b} \mathrm{\bar{b}})}$ (lower) are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 116:
Absolute $[ {|\eta (\ell \overline {\ell})|},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 117:
Absolute $[ {|\eta (\ell \overline {\ell})|},\,{{p_{\mathrm {T}}} (\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.

png pdf
Figure 118:
Absolute $[ {{p_{\mathrm {T}}} (\ell \overline {\ell})},\,{m(\ell \overline {\ell})} ]$ cross sections are shown for data (filled circles), POWHEG+PYTHIA-8 (`POW-PYT', open circles) simulation, and Stripper NNLO calculation (stars). Further details can be found in the caption of Fig. 113.
Tables

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Table 1:
The ${\chi ^2}$ values and dof of the measured normalized single-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at parton level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 2:
The ${\chi ^2}$ values and dof of the measured normalized single-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 3:
The ${\chi ^2}$ values and dof of the measured normalized multi-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at parton level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 4:
The ${\chi ^2}$ values and dof of the measured normalized multi-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 5:
The ${\chi ^2}$ values and dof of the measured normalized differential cross sections for lepton and b-jet kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 6:
The ${\chi ^2}$ values and dof of the measured normalized differential cross sections as a function of the additional-jet multiplicity in the events, at the parton level of the top quark and antiquark, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 7:
The ${\chi ^2}$ values and dof of the measured normalized differential cross sections as a function of the additional-jet multiplicity in the events, at the particle level of the top quark and antiquark, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 8:
The ${\chi ^2}$ values and dof of the measured absolute single-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at parton level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 9:
The ${\chi ^2}$ values and dof of the measured absolute single-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the uncertainties in the predictions are not.

png pdf
Table 10:
The ${\chi ^2}$ values and dof of the measured absolute multi-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at parton level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 11:
The ${\chi ^2}$ values and dof of the measured absolute multi-differential cross sections for $\mathrm{t\bar{t}}$ and top quark kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 12:
The ${\chi ^2}$ values and dof of the measured absolute differential cross sections for lepton and b-jet kinematic observables at particle level, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 13:
The ${\chi ^2}$ values and dof of the measured absolute differential cross sections as a function of the additional-jet multiplicity in the events, at the parton level of the top quark and antiquark, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.

png pdf
Table 14:
The ${\chi ^2}$ values and dof of the measured absolute differential cross sections as a function of the additional-jet multiplicity in the events, at the particle level of the top quark and antiquark, with respect to the predictions of various MC generators. Measurement uncertainties are taken into account in the calculation of ${\chi ^2}$, though the theoretical uncertainties in the predictions are not.
Summary
A measurement of differential $\mathrm{t\bar{t}}$ production cross sections in pp collisions at $\sqrt{s} = $ 13 TeV was presented, performed with events containing two oppositely charged leptons (electrons or muons). The data used in this analysis were recorded in the years 2016 through 2018 with the CMS detector at the LHC and correspond to an integrated luminosity of 138 fb$^{-1}$. Differential cross sections are measured as functions of kinematical observables of the $\mathrm{t\bar{t}}$ system, the top quark and antiquark and their decay products, and the total number of additional jets in the event not originating from the $\mathrm{t\bar{t}}$ decay. The measurements are performed as function of one observable, or simultaneously as functions of two or three kinematic variables. The differential cross sections are defined both with particle-level objects in a fiducial phase space close to that of the detector acceptance and with parton-level top quarks in the full phase space. Overall, both the statistical and the systematic uncertainties in the measurements are improved by a factor of about $2$ compared to the previous analyses [29,30] that are based on the 2016 data only.

Predictions of several NLO Monte Carlo event generators that differ in the hard matrix element, parton shower, and hadronization models, were compared to the data. The predictions of these MC models, without taking theoretical uncertainties into account, generally fail to describe a large fraction of the measured cross sections. The calculations predict the top quark and antiquark to have harder transverse momentum and more-central rapidity distributions than observed in the data. The invariant mass and rapidity distributions of the $\mathrm{t\bar{t}}$ system are reasonably well described by the models overall. For the $\mathrm{t\bar{t}}$ transverse momentum spectrum, the predictions exhibit larger differences and none of them provides a good description of the data. Double- and triple-differential cross sections show enhanced model-to-data discrepancies, for instance the effect of a harder ${{p_{\mathrm {T}}} (\mathrm{t})}$ spectrum in the models is pronounced at high ${m( \mathrm{t\bar{t}})}$. Cross sections as functions of kinematic observables of the leptons and b jets originating from the decay of the top quark and antiquark are measured with high precision. Overall, the observed trends for these objects follow those for the top quarks and antiquarks, with the models predicting harder transverse momentum spectra than seen in the data. For the leptons, this effect is somewhat enhanced and also the dilepton invariant mass spectrum is harder in the models than in the data. The distribution of the multiplicity of additional jets in the $\mathrm{t\bar{t}}$ events shows clear differences between the models that are resolved by the data. The studies of the $\mathrm{t\bar{t}}$ and top quark and antiquark kinematical distributions as a function of the jet multiplicity show multiplicity-dependent shape differences between data and models. There is an indication that the trend of harder ${{p_{\mathrm {T}}} (\mathrm{t})}$ distributions in the models is localized at small jet multiplicities.

Selected kinematic spectra were also compared to a variety of predictions beyond NLO precision. For observables of the top quark and the $\mathrm{t\bar{t}}$ systems, these predictions provide descriptions of the data that are of similar or improved quality, compared to the MC models, except for kinematic spectra where the theory scale uncertainties are large. For observables of the leptons and b jets, the tested NNLO model provides a data description quality that is on average comparable but not better than that of the NLO MC models. Comparing several kinematic distributions of the top quark and the $\mathrm{t\bar{t}}$ system to NLO MC models using different PDF sets, the data clearly provide some power for discriminating between some of the tested sets.
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Compact Muon Solenoid
LHC, CERN