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CMS-TOP-20-006 ; CERN-EP-2023-197

Differential cross section measurements for the production of top quark pairs and of additional jets using dilepton events from pp collisions at $ \sqrt{s} = $ 13 TeV

CMS Collaboration

13 February 2024

Accepted for publication in J. High Energy Phys.

Abstract: Differential cross sections for top quark pair ($ \mathrm{t} \overline{\mathrm{t}} $) production are measured in proton-proton collisions at a center-of-mass energy of 13 TeV using a sample of events containing two oppositely charged leptons. The data were recorded with the CMS detector at the CERN LHC and correspond to an integrated luminosity of 138 fb$^{-1}$. The differential cross sections are measured as functions of kinematic observables of the $ \mathrm{t} \overline{\mathrm{t}} $ system, the top quark and antiquark and their decay products, as well as of the number of additional jets in the event. The results are presented as functions of up to three variables and are corrected to the parton and particle levels. When compared to standard model predictions based on quantum chromodynamics at different levels of accuracy, it is found that the calculations do not always describe the observed data. The deviations are found to be largest for the multi-differential cross sections.

Links: e-print arXiv:2402.08486 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; CADI line (restricted) ;

Figures
png pdf	Figure 1: Illustration of a pp collision with $ \mathrm{t} \overline{\mathrm{t}} $ plus additional jet production and subsequent dilepton decay of the $ \mathrm{t} \overline{\mathrm{t}} $ system.
png pdf	Figure 2: Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and jet multiplicity (lower right) obtained in selected events with the full kinematic reconstruction. For the first two distributions, ``t'' refers to both top quark and antiquark. The three dilepton channels ($ \mathrm{e}^+\mathrm{e}^- $, $ \mu^{+}\mu^{-} $, and $ \mathrm{e}^\pm\mu^\mp $) are added together. 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 systematic shape uncertainties in the signal and backgrounds (as detailed in Section 8). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.
png pdf	Figure 2-a: Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and jet multiplicity (lower right) obtained in selected events with the full kinematic reconstruction. For the first two distributions, ``t'' refers to both top quark and antiquark. The three dilepton channels ($ \mathrm{e}^+\mathrm{e}^- $, $ \mu^{+}\mu^{-} $, and $ \mathrm{e}^\pm\mu^\mp $) are added together. 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 systematic shape uncertainties in the signal and backgrounds (as detailed in Section 8). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.
png pdf	Figure 2-b: Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and jet multiplicity (lower right) obtained in selected events with the full kinematic reconstruction. For the first two distributions, ``t'' refers to both top quark and antiquark. The three dilepton channels ($ \mathrm{e}^+\mathrm{e}^- $, $ \mu^{+}\mu^{-} $, and $ \mathrm{e}^\pm\mu^\mp $) are added together. 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 systematic shape uncertainties in the signal and backgrounds (as detailed in Section 8). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.
png pdf	Figure 2-c: Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and jet multiplicity (lower right) obtained in selected events with the full kinematic reconstruction. For the first two distributions, ``t'' refers to both top quark and antiquark. The three dilepton channels ($ \mathrm{e}^+\mathrm{e}^- $, $ \mu^{+}\mu^{-} $, and $ \mathrm{e}^\pm\mu^\mp $) are added together. 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 systematic shape uncertainties in the signal and backgrounds (as detailed in Section 8). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.
png pdf	Figure 2-d: Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and jet multiplicity (lower right) obtained in selected events with the full kinematic reconstruction. For the first two distributions, ``t'' refers to both top quark and antiquark. The three dilepton channels ($ \mathrm{e}^+\mathrm{e}^- $, $ \mu^{+}\mu^{-} $, and $ \mathrm{e}^\pm\mu^\mp $) are added together. 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 systematic shape uncertainties in the signal and backgrounds (as detailed in Section 8). The lower panel in each plot shows the ratio of the observed data event yields to those expected in the simulation.
png pdf	Figure 3: Distributions of $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (left) and $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 3-a: Distributions of $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (left) and $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 3-b: Distributions of $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (left) and $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 3-c: Distributions of $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (left) and $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 3-d: Distributions of $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (left) and $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 4: Reweighting test for the extraction of the normalized differential cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (left) and $ m(\ell\overline{\ell}) $ (right). The former cross section is measured at the parton level in the full phase space and the latter at the particle level in a fiducial phase space. The nominal $ \mathrm{t} \overline{\mathrm{t}} $ signal MC spectra are shown as dotted red histograms and the assumed true spectra, obtained from reweighting, as solid black 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 red circles. The unfolded spectra with the regularization switched off are also shown (open blue 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.
png pdf	Figure 4-a: Reweighting test for the extraction of the normalized differential cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (left) and $ m(\ell\overline{\ell}) $ (right). The former cross section is measured at the parton level in the full phase space and the latter at the particle level in a fiducial phase space. The nominal $ \mathrm{t} \overline{\mathrm{t}} $ signal MC spectra are shown as dotted red histograms and the assumed true spectra, obtained from reweighting, as solid black 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 red circles. The unfolded spectra with the regularization switched off are also shown (open blue 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.
png pdf	Figure 4-b: Reweighting test for the extraction of the normalized differential cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (left) and $ m(\ell\overline{\ell}) $ (right). The former cross section is measured at the parton level in the full phase space and the latter at the particle level in a fiducial phase space. The nominal $ \mathrm{t} \overline{\mathrm{t}} $ signal MC spectra are shown as dotted red histograms and the assumed true spectra, obtained from reweighting, as solid black 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 red circles. The unfolded spectra with the regularization switched off are also shown (open blue 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.
png pdf	Figure 5: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several parton-level measurements: absolute $ p_{\mathrm{T}}(\mathrm{t}) $ (upper), normalized $ p_{\mathrm{T}}(\mathrm{t}) $ (middle), and normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 7 and 16.
png pdf	Figure 5-a: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several parton-level measurements: absolute $ p_{\mathrm{T}}(\mathrm{t}) $ (upper), normalized $ p_{\mathrm{T}}(\mathrm{t}) $ (middle), and normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 7 and 16.
png pdf	Figure 5-b: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several parton-level measurements: absolute $ p_{\mathrm{T}}(\mathrm{t}) $ (upper), normalized $ p_{\mathrm{T}}(\mathrm{t}) $ (middle), and normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 7 and 16.
png pdf	Figure 5-c: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several parton-level measurements: absolute $ p_{\mathrm{T}}(\mathrm{t}) $ (upper), normalized $ p_{\mathrm{T}}(\mathrm{t}) $ (middle), and normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 7 and 16.
png pdf	Figure 6: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particle-level measurements: $ p_{\mathrm{T}} $ of the lepton (upper), $ p_{\mathrm{T}} $ of the leading b jet (middle), and $ N_{\text{jet}} $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 23, 24, and 30.
png pdf	Figure 6-a: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particle-level measurements: $ p_{\mathrm{T}} $ of the lepton (upper), $ p_{\mathrm{T}} $ of the leading b jet (middle), and $ N_{\text{jet}} $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 23, 24, and 30.
png pdf	Figure 6-b: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particle-level measurements: $ p_{\mathrm{T}} $ of the lepton (upper), $ p_{\mathrm{T}} $ of the leading b jet (middle), and $ N_{\text{jet}} $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 23, 24, and 30.
png pdf	Figure 6-c: The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particle-level measurements: $ p_{\mathrm{T}} $ of the lepton (upper), $ p_{\mathrm{T}} $ of the leading b jet (middle), and $ N_{\text{jet}} $ (lower). The statistical uncertainties and the total uncertainties (statistical and systematic uncertainties added in quadrature) are shown as grey and yellow bands, respectively. The ranges of the observables for a given bin number can be read off from the corresponding cross section distributions in Figs. 23, 24, and 30.
png pdf	Figure 7: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 7-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 7-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 7-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 7-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 8: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 8-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 8-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 8-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 8-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 9: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-e: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 9-f: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). The $ m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 10: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 10-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 10-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 10-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 10-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 11: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 11-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 11-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 11-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 11-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 12: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 12-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 12-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 12-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 12-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 14: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 14-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 14-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 15: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 15-a: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 15-b: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 16: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 16-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 16-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 17: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 17-a: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 17-b: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 18: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 18-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 18-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 19: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 19-a: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 19-b: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 20: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 20-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 20-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 21: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 21-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 21-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 22: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 22-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 22-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 23: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 23-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 23-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 23-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 24: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 23.
png pdf	Figure 24-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 23.
png pdf	Figure 24-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 23.
png pdf	Figure 24-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 23.
png pdf	Figure 25: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 25-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 25-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 25-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 26: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 26-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 26-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	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.
png pdf	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.
png pdf	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.
png pdf	Figure 30: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 30-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 30-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 30-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 30-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 31: 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 32: 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.
png pdf	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.
png pdf	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.
png pdf	Figure 33: Normalized $ [N_{\text{jet}},\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 33-a: Normalized $ [N_{\text{jet}},\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 33-b: Normalized $ [N_{\text{jet}},\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 34: Normalized $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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.
png pdf	Figure 34-a: Normalized $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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.
png pdf	Figure 34-b: Normalized $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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.
png pdf	Figure 35: Normalized $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 35-a: Normalized $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 35-b: Normalized $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 36: Normalized $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 36-a: Normalized $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 36-b: Normalized $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 37: Normalized $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 37-a: Normalized $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 37-b: Normalized $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 38: Normalized $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 38-a: Normalized $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 38-b: Normalized $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 39: Normalized $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 39-a: Normalized $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 39-b: Normalized $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 40: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 40-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 40-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 40-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 40-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 41: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 41-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 41-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 41-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 41-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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.
png pdf	Figure 42: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-e: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 42-f: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 43: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 43-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 43-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 43-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 43-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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.
png pdf	Figure 44: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 44-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 44-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 44-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 44-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 45: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 45-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 45-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 45-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	Figure 45-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 47: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 47-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 47-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 48: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 48-a: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 48-b: Normalized $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 49: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 49-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 49-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 50: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 50-a: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 50-b: Normalized $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 51: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 51-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 51-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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.
png pdf	Figure 52: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 52-a: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 52-b: Normalized $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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.
png pdf	Figure 53: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 53-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 53-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{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.
png pdf	Figure 54: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 54-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 54-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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.
png pdf	Figure 55: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 55-a: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 55-b: Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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.
png pdf	Figure 56: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 56-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 56-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 56-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 57: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{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.
png pdf	Figure 57-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{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.
png pdf	Figure 57-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{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.
png pdf	Figure 57-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{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.
png pdf	Figure 58: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 58-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 58-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 58-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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.
png pdf	Figure 59: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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.
png pdf	Figure 59-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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.
png pdf	Figure 59-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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.
png pdf	Figure 60: 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.
png pdf	Figure 61: 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.
png pdf	Figure 62: 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.
png pdf	Figure 63: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower right), measured at the parton level in the full phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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_\mathrm{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_\mathrm{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.
png pdf	Figure 63-a: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower right), measured at the parton level in the full phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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_\mathrm{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_\mathrm{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.
png pdf	Figure 63-b: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower right), measured at the parton level in the full phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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_\mathrm{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_\mathrm{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.
png pdf	Figure 63-c: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower right), measured at the parton level in the full phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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_\mathrm{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_\mathrm{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.
png pdf	Figure 63-d: Normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower left), and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower right), measured at the parton level in the full phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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_\mathrm{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_\mathrm{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.
png pdf	Figure 64: Normalized $ \log(\xi_{1}) $ (upper left), $ \log(\xi_{2}) $ (upper right), and $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower) 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. 63.
png pdf	Figure 64-a: Normalized $ \log(\xi_{1}) $ (upper left), $ \log(\xi_{2}) $ (upper right), and $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower) 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. 63.
png pdf	Figure 64-b: Normalized $ \log(\xi_{1}) $ (upper left), $ \log(\xi_{2}) $ (upper right), and $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower) 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. 63.
png pdf	Figure 64-c: Normalized $ \log(\xi_{1}) $ (upper left), $ \log(\xi_{2}) $ (upper right), and $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\mathrm{t}}} )|] $ (lower) 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. 63.
png pdf	Figure 65: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 65-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 65-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 65-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 65-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 66: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{t}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 66-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{t}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 66-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{t}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 66-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{t}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 66-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{t}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-e: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 67-f: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle) and $ y({\mathrm{t}\overline{\mathrm{t}}} ) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 65.
png pdf	Figure 68: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 65.
png pdf	Figure 68-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 65.
png pdf	Figure 68-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 65.
png pdf	Figure 68-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 65.
png pdf	Figure 68-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 65.
png pdf	Figure 69: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 65.
png pdf	Figure 69-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 65.
png pdf	Figure 69-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 65.
png pdf	Figure 69-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 65.
png pdf	Figure 69-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 65.
png pdf	Figure 70: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 65.
png pdf	Figure 70-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 65.
png pdf	Figure 70-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 65.
png pdf	Figure 70-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 65.
png pdf	Figure 70-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 65.
png pdf	Figure 71: 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 71-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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 71-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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 72: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 72-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 72-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 73: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 73-a: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 73-b: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 74: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 74-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 74-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 75: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 75-a: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 75-b: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 76: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 76-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 76-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 71.
png pdf	Figure 77: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 77-a: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 77-b: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 71.
png pdf	Figure 78: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 78-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 78-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 71.
png pdf	Figure 79: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 71.
png pdf	Figure 79-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 71.
png pdf	Figure 79-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 71.
png pdf	Figure 80: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 71.
png pdf	Figure 80-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 71.
png pdf	Figure 80-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 71.
png pdf	Figure 81: Absolute differential $ \mathrm{t} \overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 81-a: Absolute differential $ \mathrm{t} \overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 81-b: Absolute differential $ \mathrm{t} \overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 81-c: Absolute differential $ \mathrm{t} \overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 82: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 81.
png pdf	Figure 82-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 81.
png pdf	Figure 82-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 81.
png pdf	Figure 82-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower). Further details can be found in the caption of Fig. 81.
png pdf	Figure 83: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right) and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{b}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 81.
png pdf	Figure 83-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right) and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{b}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 81.
png pdf	Figure 83-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right) and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{b}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 81.
png pdf	Figure 83-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right) and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{b}}) $ (lower) are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 81.
png pdf	Figure 84: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 81.
png pdf	Figure 84-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 81.
png pdf	Figure 84-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 81.
png pdf	Figure 85: 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. 81.
png pdf	Figure 86: 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. 81.
png pdf	Figure 87: 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. 81.
png pdf	Figure 88: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 88-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 88-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 88-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 88-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as a function of $ N_{\text{jet}} $, for a minimum jet $ p_{\mathrm{T}} $ of 40 GeV (upper) 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 89: 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 grey and yellow bands indicating the statistical and total (sum in quadrature of statistical and systematic) uncertainties, respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 89-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 grey and yellow bands indicating the statistical and total (sum in quadrature of statistical and systematic) uncertainties, respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 89-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 grey and yellow bands indicating the statistical and total (sum in quadrature of statistical and systematic) uncertainties, respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 90: 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. 89.
png pdf	Figure 90-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. 89.
png pdf	Figure 90-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. 89.
png pdf	Figure 91: Absolute $ [N_{\text{jet}},p_{\mathrm{T}}({\mathrm{t}\overline{\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. 89.
png pdf	Figure 91-a: Absolute $ [N_{\text{jet}},p_{\mathrm{T}}({\mathrm{t}\overline{\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. 89.
png pdf	Figure 91-b: Absolute $ [N_{\text{jet}},p_{\mathrm{T}}({\mathrm{t}\overline{\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. 89.
png pdf	Figure 92: Absolute $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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. 89.
png pdf	Figure 92-a: Absolute $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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. 89.
png pdf	Figure 92-b: Absolute $ [N_{\text{jet}},\, m({\mathrm{t}\overline{\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. 89.
png pdf	Figure 93: Absolute $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 93-a: Absolute $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 93-b: Absolute $ [N_{\text{jet}},\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 94: Absolute $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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. 89.
png pdf	Figure 94-a: Absolute $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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. 89.
png pdf	Figure 94-b: Absolute $ [N_{\text{jet}},\, |\Delta \eta(\mathrm{t},\overline{\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. 89.
png pdf	Figure 95: Absolute $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 95-a: Absolute $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 95-b: Absolute $ [N^{0,1+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 96: Absolute $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 96-a: Absolute $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 96-b: Absolute $ [N^{0,1,2+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 97: Absolute $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 97-a: Absolute $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 97-b: Absolute $ [N^{0,1,2,3+}_{\text{jet}},\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 89.
png pdf	Figure 98: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 98-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 98-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 98-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 98-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper) and $ p_{\mathrm{T}}(\overline{\mathrm{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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 99: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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. 98.
png pdf	Figure 99-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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. 98.
png pdf	Figure 99-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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. 98.
png pdf	Figure 99-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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. 98.
png pdf	Figure 99-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ y(\mathrm{t}) $ (upper) and $ y(\overline{\mathrm{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. 98.
png pdf	Figure 100: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-e: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 100-f: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper), $ m({\mathrm{t}\overline{\mathrm{t}}} ) $ (middle), and $ y({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 101: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 98.
png pdf	Figure 101-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 98.
png pdf	Figure 101-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 98.
png pdf	Figure 101-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 98.
png pdf	Figure 101-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ |\Delta \phi(\mathrm{t},\overline{\mathrm{t}})| $ (upper) and $ |y(\mathrm{t})|-|y(\overline{\mathrm{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. 98.
png pdf	Figure 102: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 102-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 102-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 102-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 102-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\mathrm{t})/m({\mathrm{t}\overline{\mathrm{t}}} ) $ (upper) and $ p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} )/m({\mathrm{t}\overline{\mathrm{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. 98.
png pdf	Figure 103: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 98.
png pdf	Figure 103-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 98.
png pdf	Figure 103-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 98.
png pdf	Figure 103-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 98.
png pdf	Figure 103-d: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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. 98.
png pdf	Figure 104: 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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 104-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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 104-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 grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 105: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 105-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 105-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 106: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 106-a: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 106-b: Absolute $ [p_{\mathrm{T}}(\mathrm{t}),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 107: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 107-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 107-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 108: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 108-a: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 108-b: Absolute $ [|y({\mathrm{t}\overline{\mathrm{t}}} )|,\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 109: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 109-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 109-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}({\mathrm{t}\overline{\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. 104.
png pdf	Figure 110: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 110-a: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 110-b: Absolute $ [p_{\mathrm{T}}({\mathrm{t}\overline{\mathrm{t}}} ),\, m({\mathrm{t}\overline{\mathrm{t}}} ),\, |y({\mathrm{t}\overline{\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. 104.
png pdf	Figure 111: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 111-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 111-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{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. 104.
png pdf	Figure 112: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 104.
png pdf	Figure 112-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 104.
png pdf	Figure 112-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \eta(\mathrm{t},\overline{\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. 104.
png pdf	Figure 113: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 104.
png pdf	Figure 113-a: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 104.
png pdf	Figure 113-b: Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, |\Delta \phi(\mathrm{t},\overline{\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. 104.
png pdf	Figure 114: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 114-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 114-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 114-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions 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), measured at the particle level in a fiducial phase space. The data are shown as filled circles with grey and yellow bands indicating the statistical and total uncertainties (statistical and systematic uncertainties added in quadrature), respectively. For each distribution, the number of degrees of freedom (dof) is also provided. 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.
png pdf	Figure 115: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower) d-NLO precision (other points). 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. 114.
png pdf	Figure 115-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower) d-NLO precision (other points). 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. 114.
png pdf	Figure 115-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower) d-NLO precision (other points). 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. 114.
png pdf	Figure 115-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of the $ p_{\mathrm{T}} $ of the leading (upper left) and trailing (upper right) b jet, and $ (p_{\mathrm{T}}(\mathrm{b}) + p_{\mathrm{T}}(\overline{\mathrm{b}}))/(p_{\mathrm{T}}(\mathrm{t}) + p_{\mathrm{T}}(\overline{\mathrm{t}})) $ (lower) d-NLO precision (other points). 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. 114.
png pdf	Figure 116: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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. 114.
png pdf	Figure 116-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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. 114.
png pdf	Figure 116-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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. 114.
png pdf	Figure 116-c: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ m(\ell\overline{\ell}) $ (upper left), $ m(\mathrm{b}\overline{\mathrm{b}}) $ (upper right), and $ m(\ell\overline{\ell}\mathrm{b}\overline{\mathrm{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. 114.
png pdf	Figure 117: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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. 114.
png pdf	Figure 117-a: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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. 114.
png pdf	Figure 117-b: Absolute differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections as functions of $ p_{\mathrm{T}}(\ell\overline{\ell}) $ (left) and $ |\eta(\ell\overline{\ell})| $ (right) 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. 114.
png pdf	Figure 118: 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. 114.
png pdf	Figure 119: 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. 114.
png pdf	Figure 120: 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. 114.

Tables
png pdf	Table 1: The $ \chi^2 $ values and dof of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 2: The $ \chi^2 $ values and dof of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 3: The $ \chi^2 $ values and dof of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 4: The $ \chi^2 $ values and dof of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 5: The $ \chi^2 $ values and dof of the measured normalized single-differential cross sections for lepton and b-jet kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
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, are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
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, are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 8: The $ \chi^2 $ values and dof of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 9: The $ \chi^2 $ values and dof of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 10: The $ \chi^2 $ values and dof of the measured normalized single-differential cross sections for lepton and b-jet kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 11: The $ \chi^2 $ values and dof of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 12: The $ \chi^2 $ values and dof of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 13: The $ \chi^2 $ values and dof of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 14: The $ \chi^2 $ values and dof of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 15: The $ \chi^2 $ values and dof of the measured absolute single-differential cross sections for lepton and b-jet kinematic observables at the particle level are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 16: 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, are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 17: 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, are shown with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 18: The $ \chi^2 $ values and dof of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 19: The $ \chi^2 $ values and dof of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 20: The $ \chi^2 $ values and dof of the measured absolute single-differential cross sections for lepton and b-jet kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The corresponding $ \chi^2 $ values including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 21: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 22: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 23: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 24: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 25: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized single-differential cross sections for lepton and b-jet kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 26: The $ p $-values are shown for the $ \chi^2 $ tests 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. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 27: The $ p $-values are shown for the $ \chi^2 $ tests 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. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 28: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 29: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 30: The $ p $-values are shown for the $ \chi^2 $ tests of the measured normalized single-differential cross sections for lepton and b-jet kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 31: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 32: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 33: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the parton level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 34: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 35: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute single-differential cross sections for lepton and b-jet kinematic observables at the particle level with respect to the predictions of various MC generators. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 36: The $ p $-values are shown for the $ \chi^2 $ tests 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. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 37: The $ p $-values are shown for the $ \chi^2 $ tests 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. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. For POW+PYT, the $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 38: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute single-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 39: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute multi-differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicated with the brackets (w. unc.).
png pdf	Table 40: The $ p $-values are shown for the $ \chi^2 $ tests of the measured absolute single-differential cross \\ sections for lepton and b-jet kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POW-PYT') simulation and the STRIPPER NNLO calculation. The $ \chi^2 $ values are calculated taking only measurement uncertainties into account and excluding theory uncertainties. The $ p $-values of the $ \chi^2 $ tests including theory uncertainties are indicat ed with the brackets (w. unc.).

Summary

A measurement of differential top quark pair ($ \mathrm{t} \overline{\mathrm{t}} $) production cross sections in proton-proton 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} \overline{\mathrm{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} \overline{\mathrm{t}} $ decay. The measurements are performed as functions of single observables, 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 two compared to the previous analyses [26,27] which are based on the 2016 data set. Predictions of several next-to-leading-order (NLO) Monte Carlo (MC) 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 many of the measured cross sections in their full kinematic range. The predicted transverse momentum $ p_{\mathrm{T}} $ distributions of the top quark and antiquark are harder than observed in the data, and the rapidity distributions are more central. The invariant mass and rapidity distributions of the $ \mathrm{t} \overline{\mathrm{t}} $ system are reasonably well described by the models overall. The predictions for the $ \mathrm{t} \overline{\mathrm{t}} $ transverse momentum distribution differ from the data even more than the top quark and antiquark distributions do; none of them provides a good description of the data. Double- and triple-differential cross sections show large model-to-data discrepancies, for instance the effect of a harder top quark $ p_{\mathrm{T}} $ spectrum $ p_{\mathrm{T}}(\mathrm{t}) $ in the models is pronounced at high $ m({\mathrm{t}\overline{\mathrm{t}}} ) $. Differential 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 $ p_{\mathrm{T}} $ spectra than seen in the data. For the leptons, this effect is somewhat enhanced and furthermore the dilepton invariant mass spectrum is harder in the models than in the data. The distribution of the multiplicity of additional jets in $ \mathrm{t} \overline{\mathrm{t}} $ events shows varying level of agreement between data and the models. When considered as a function of jet multiplicity, the evolution of the shapes of $ \mathrm{t} \overline{\mathrm{t}} $, top quark and antiquark kinematic distributions is different for the models and for data. 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 distributions were also compared to a variety of theoretical predictions beyond NLO precision. For observables of the top quark and the $ \mathrm{t} \overline{\mathrm{t}} $ system, these predictions provide descriptions of the data that are of similar or improved quality, compared to the MC model best describing each variable, except for some of the kinematic spectra for which the theory scale uncertainties are large. For observables associated with the leptons and b jets, the quality of the tested next-to-NLO model is on average comparable to but not better than that of the NLO MC models. Comparing several kinematic distributions of the top quark and the $ \mathrm{t} \overline{\mathrm{t}} $ system to NLO MC models using various parton distribution function (PDF) sets, clear differences are observed which indicate a sensitivity to PDFs that could be exploited in future PDF fits. For each distribution, the quality of the description of the data by the models has been assessed with a $ \chi^2 $ test statistic. When only the measurement uncertainties are taken into account in the calculation (i.e., neglecting the uncertainties on the predictions), the $ p $-values obtained from the $ \chi^2 $ tests are in general close to zero, pointing to a poor description of the data by the nominal models. The inclusion of the uncertainties on the predictions leads, in many cases, to substantially reduced $ \chi^2 $ values with reasonable $ p $-values. However, for several distributions, and in particular for a larger fraction of the multi-differential distributions, the observed differences between data and simulation still remain significant, providing important input for future theoretical predictions.

References
1	Particle Data Group Collaboration	Review of Particle Physics	PTEP 2022 (2022) 083C01
2	N. Kidonakis	NNNLO soft-gluon corrections for the top-quark $ p_{\mathrm{T}} $ and rapidity distributions	PRD 91 (2015) 031501	1411.2633
3	N. Kidonakis	Top-quark double-differential distributions at approximate N$ ^3 $LO	PRD 101 (2020) 074006	1912.10362
4	M. Czakon, D. Heymes, and A. Mitov	High-precision differential predictions for top-quark pairs at the LHC	PRL 116 (2016) 082003	1511.00549
5	M. Czakon et al.	Top-pair production at the LHC through NNLO QCD and NLO EW	JHEP 10 (2017) 186	1705.04105
6	M. Czakon et al.	Resummation for (boosted) top-quark pair production at NNLO+NNLL' in QCD	JHEP 05 (2018) 149	1803.07623
7	S. Catani et al.	Top-quark pair production at the LHC: Fully differential QCD predictions at NNLO	JHEP 07 (2019) 100	1906.06535
8	M. Czakon, A. Mitov, and R. Poncelet	NNLO QCD corrections to leptonic observables in top-quark pair production and decay	JHEP 05 (2021) 212	2008.11133
9	ATLAS Collaboration	Measurements of top quark pair relative differential cross sections with ATLAS in pp collisions at $ \sqrt{s}= $ 7 TeV	EPJC 73 (2013) 2261	1207.5644
10	CMS Collaboration	Measurement of differential top-quark pair production cross sections in pp collisions at $ \sqrt{s}= $ 7 TeV	EPJC 73 (2013) 2339	CMS-TOP-11-013 1211.2220
11	ATLAS Collaboration	Measurements of normalized differential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ production in pp collisions at $ \sqrt{s}= $ 7 TeV using the ATLAS detector	Phys. Rev. D 90 07, 2014 link	1407.0371
12	ATLAS Collaboration	Differential top-antitop cross section measurements as a function of observables constructed from final-state particles using pp collisions at $ \sqrt{s}= $ 7 TeV in the ATLAS detector	JHEP 06 (2015) 100	1502.05923
13	ATLAS Collaboration	Measurement of top quark pair differential cross sections in the dilepton channel in pp collisions at $ \sqrt{s}= $ 7 and 8 TeV with ATLAS	PRD 94 (2016) 092003	1607.07281
14	CMS Collaboration	Measurement of the differential cross section for top quark pair production in pp collisions at $ \sqrt{s}= $ 8 TeV	EPJC 75 (2015) 542	CMS-TOP-12-028 1505.04480
15	ATLAS Collaboration	Measurements of top-quark pair differential cross sections in the lepton+jets channel in pp collisions at $ \sqrt{s}= $ 8 TeV using the ATLAS detector	EPJC 76 (2016) 538	1511.04716
16	ATLAS Collaboration	Measurement of the differential cross section of highly boosted top quarks as a function of their transverse momentum in $ \sqrt{s}= $ 8 TeV proton-proton collisions using the ATLAS detector	PRD 93 (2016) 032009	1510.03818
17	CMS Collaboration	Measurement of the $ \mathrm{t} \overline{\mathrm{t}} $ production cross section in the all-jets final state in pp collisions at $ \sqrt{s}= $ 8 TeV	EPJC 76 (2016) 128	CMS-TOP-14-018 1509.06076
18	CMS Collaboration	Measurement of the integrated and differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections for high-$ p_{\mathrm{T}} $ top quarks in pp collisions at $ \sqrt{s}= $ 8 TeV	PRD 94 (2016) 072002	CMS-TOP-14-012 1605.00116
19	CMS Collaboration	Measurement of double-differential cross sections for top quark pair production in pp collisions at $ \sqrt{s}= $ 8 TeV and impact on parton distribution functions	EPJC 77 (2017) 459	CMS-TOP-14-013 1703.01630
20	ATLAS Collaboration	Measurement of the top-quark mass in $ {\mathrm{t}\overline{\mathrm{t}}} + $ 1-jet events collected with the ATLAS detector in pp collisions at $ \sqrt{s}= $ 8 TeV	JHEP 11 (2019) 150	1905.02302
21	CMS Collaboration	Measurement of differential cross sections for top quark pair production using the lepton+jets final state in proton-proton collisions at 13 TeV	PRD 95 (2017) 092001	CMS-TOP-16-008 1610.04191
22	ATLAS Collaboration	Measurement of jet activity produced in top-quark events with an electron, a muon and two b-tagged jets in the final state in pp collisions at $ \sqrt{s}= $ 13 TeV with the ATLAS detector	EPJC 77 (2017) 220	1610.09978
23	ATLAS Collaboration	Measurements of top-quark pair differential cross sections in the $ {\mathrm{e}}{\mu} $ channel in pp collisions at $ \sqrt{s}= $ 13 TeV using the ATLAS detector	EPJC 77 (2017) 292	1612.05220
24	CMS Collaboration	Measurement of normalized differential $ \mathrm{t} \overline{\mathrm{t}} $ cross sections in the dilepton channel from pp collisions at $ \sqrt{s}= $ 13 TeV	JHEP 04 (2018) 060	CMS-TOP-16-007 1708.07638
25	CMS Collaboration	Measurement of differential cross sections for the production of top quark pairs and of additional jets in lepton+jets events from pp collisions at $ \sqrt{s}= $ 13 TeV	PRD 97 (2018) 112003	CMS-TOP-17-002 1803.08856
26	CMS Collaboration	Measurements of $ \mathrm{t} \overline{\mathrm{t}} $ differential cross sections in proton-proton collisions at $ \sqrt{s}= $ 13 TeV using events containing two leptons	JHEP 02 (2019) 149	CMS-TOP-17-014 1811.06625
27	CMS Collaboration	Measurement of $ \mathrm{t} \overline{\mathrm{t}} $ normalised multi-differential cross sections in pp collisions at $ \sqrt{s}= $ 13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions	EPJC 80 (2020) 658	CMS-TOP-18-004 1904.05237
28	ATLAS Collaboration	Measurements of top-quark pair differential and double-differential cross sections in the $ \ell $+jets channel with pp collisions at $ \sqrt{s}= $ 13 TeV using the ATLAS detector	EPJC 79 (2019) 1028	1908.07305
29	ATLAS Collaboration	Measurement of the $ \mathrm{t} \overline{\mathrm{t}} $ production cross section and lepton differential distributions in $ {\mathrm{e}}{\mu} $ dilepton events from pp collisions at $ \sqrt{s}= $ 13 TeV with the ATLAS detector	EPJC 80 (2020) 528	1910.08819
30	ATLAS Collaboration	Measurements of top-quark pair single- and double-differential cross sections in the all-hadronic channel in pp collisions at $ \sqrt{s}= $ 13 TeV using the ATLAS detector	JHEP 01 (2021) 033	2006.09274
31	CMS Collaboration	Measurement of differential $ \mathrm{t} \overline{\mathrm{t}} $ production cross sections in the full kinematic range using lepton+jets events from proton-proton collisions at $ \sqrt{s}= $ 13 TeV	PRD 104 (2021) 092013	CMS-TOP-20-001 2108.02803
32	CMS Collaboration	HEPData record for this analysis	link
33	CMS Collaboration	The CMS trigger system	JINST 12 (2017) P01020	CMS-TRG-12-001 1609.02366
34	CMS Collaboration	The CMS experiment at the CERN LHC	JINST 3 (2008) S08004
35	NNPDF Collaboration	Unbiased global determination of parton distributions and their uncertainties at NNLO and LO	NPB 855 (2012) 153	1107.2652
36	NNPDF Collaboration	Parton distributions from high-precision collider data	EPJC 77 (2017) 663	1706.00428
37	P. Nason	A new method for combining NLO QCD with shower Monte Carlo algorithms	JHEP 11 (2004) 040	hep-ph/0409146
38	S. Frixione, P. Nason, and C. Oleari	Matching NLO QCD computations with parton shower simulations: the POWHEG method	JHEP 11 (2007) 070	0709.2092
39	S. Alioli, P. Nason, C. Oleari, and E. Re	A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX	JHEP 06 (2010) 043	1002.2581
40	S. Frixione, P. Nason, and G. Ridolfi	A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction	JHEP 09 (2007) 126	0707.3088
41	CMS Collaboration	Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements	EPJC 80 (2020) 4	CMS-GEN-17-001 1903.12179
42	T. Sjöstrand et al.	An introduction to PYTHIA 8.2	Comput. Phys. Commun. 191 (2015) 159	1410.3012
43	J. Alwall et al.	The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations	JHEP 07 (2014) 079	1405.0301
44	R. Frederix and S. Frixione	Merging meets matching in MC@NLO	JHEP 12 (2012) 061	1209.6215
45	P. Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk	Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations	JHEP 03 (2013) 015	1212.3460
46	J. Bellm et al.	HERWIG 7.0/ HERWIG++ 3.0 release note	EPJC 76 (2016) 196	1512.01178
47	CMS Collaboration	Development and validation of HERWIG 7 tunes from CMS underlying-event measurements	EPJC 81 (2021) 312	CMS-GEN-19-001 2011.03422
48	S. Alioli, P. Nason, C. Oleari, and E. Re	NLO single-top production matched with shower in POWHEG: $ s $- and $ t $-channel contributions	JHEP 09 (2009) 111	0907.4076
49	R. Frederix, E. Re, and P. Torrielli	Single-top $ t $-channel hadroproduction in the four-flavour scheme with POWHEG and aMC@NLO	JHEP 09 (2012) 130	1207.5391
50	E. Re	Single-top $ {\mathrm{W}}{\mathrm{t}} $-channel production matched with parton showers using the POWHEG method	EPJC 71 (2011) 1547	1009.2450
51	CMS Collaboration	Investigations of the impact of the parton shower tuning in PYTHIA in the modelling of $ \mathrm{t} \overline{\mathrm{t}} $ at $ \sqrt{s}= $ 8 and 13 TeV	CMS Physics Analysis Summary, 2016 CMS-PAS-TOP-16-021	CMS-PAS-TOP-16-021
52	CMS Collaboration	Event generator tunes obtained from underlying event and multiparton scattering measurements	EPJC 76 (2016) 155	CMS-GEN-14-001 1512.00815
53	P. Skands, S. Carrazza, and J. Rojo	Tuning PYTHIA 8.1: the Monash 2013 Tune	EPJC 74 (2014) 3024	1404.5630
54	NNPDF Collaboration	Parton distributions for the LHC Run II	JHEP 04 (2015) 040	1410.8849
55	M. L. Mangano, M. Moretti, F. Piccinini, and M. Treccani	Matching matrix elements and shower evolution for top-quark production in hadronic collisions	JHEP 01 (2007) 013	hep-ex/0611129
56	S. Mrenna and P. Richardson	Matching matrix elements and parton showers with HERWIG and PYTHIA	JHEP 05 (2004) 040	hep-ph/0312274
57	P. Kant et al.	HatHor for single top-quark production: Updated predictions and uncertainty estimates for single top-quark production in hadronic collisions	Comput. Phys. Commun. 191 (2015) 74	1406.4403
58	N. Kidonakis	Two-loop soft anomalous dimensions for single top quark associated production with $ \mathrm{W^-} $ or $ {\mathrm{H}}^- $	PRD 82 (2010) 054018
59	Y. Li and F. Petriello	Combining QCD and electroweak corrections to dilepton production in FEWZ	PRD 86 (2012) 094034	1208.5967
60	J. M. Campbell, R. K. Ellis, and C. Williams	Vector boson pair production at the LHC	JHEP 07 (2011) 018	1105.0020
61	M. Czakon and A. Mitov	TOP++: a program for the calculation of the top-pair cross section at hadron colliders	Comput. Phys. Commun. 185 (2014) 2930	1112.5675
62	M. Cacciari et al.	Top-pair production at hadron colliders with next-to-next-to-leading logarithmic soft-gluon resummation	PLB 710 (2012) 612	1111.5869
63	P. B ä rnreuther, M. Czakon, and A. Mitov	Percent level precision physics at the Tevatron: first genuine NNLO QCD corrections to $ {\mathrm{q}}{\overline{\mathrm{q}}}\rightarrow {\mathrm{t}\overline{\mathrm{t}}} +{\mathrm{X}} $	PRL 109 (2012) 132001	1204.5201
64	M. Czakon and A. Mitov	NNLO corrections to top-pair production at hadron colliders: the all-fermionic scattering channels	JHEP 12 (2012) 054	1207.0236
65	M. Czakon and A. Mitov	NNLO corrections to top-pair production at hadron colliders: the quark-gluon reaction	JHEP 01 (2013) 080	1210.6832
66	M. Beneke, P. Falgari, S. Klein, and C. Schwinn	Hadronic top-quark pair production with NNLL threshold resummation	NPB 855 (2012) 695	1109.1536
67	M. Czakon, P. Fiedler, and A. Mitov	Total top-quark pair-production cross section at hadron colliders through $ \mathcal{O}({\alpha_s}^4) $	PRL 110 (2013) 252004	1303.6254
68	GEANT4 Collaboration	GEANT4---a simulation toolkit	NIM A 506 (2003) 250
69	ATLAS Collaboration	Measurement of the inelastic proton-proton cross section at $ \sqrt{s}= $ 13 TeV with the ATLAS detector at the LHC	PRL 117 (2016) 182002	1606.02625
70	CMS Collaboration	Particle-flow reconstruction and global event description with the CMS detector	JINST 12 (2017) P10003	CMS-PRF-14-001 1706.04965
71	CMS Collaboration	Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid	CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015 CDS
72	CMS Collaboration	Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC	JINST 16 (2021) P05014	CMS-EGM-17-001 2012.06888
73	CMS Collaboration	Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV	JINST 13 (2018) P06015	CMS-MUO-16-001 1804.04528
74	M. Cacciari, G. P. Salam, and G. Soyez	The anti-$ k_{\mathrm{T}} $ jet clustering algorithm	JHEP 04 (2008) 063	0802.1189
75	M. Cacciari, G. P. Salam, and G. Soyez	FastJet user manual	EPJC 72 (2012) 1896	1111.6097
76	CMS Collaboration	Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV	JINST 12 (2017) P02014	CMS-JME-13-004 1607.03663
77	CMS Collaboration	Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV	JINST 13 (2018) P05011	CMS-BTV-16-002 1712.07158
78	CMS Collaboration	A Deep Neural Network for simultaneous estimation of b jet energy and resolution	Comput. Softw. Big Sci. 4 (2020) 10	CMS-HIG-18-027 1912.06046
79	CMS Collaboration	Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector	JINST 14 (2019) P07004	CMS-JME-17-001 1903.06078
80	D. Bertolini, P. Harris, M. Low, and N. Tran	Pileup per particle identification	JHEP 10 (2014) 59	1407.6013
81	I. Korol	Measurement of Double Differential $ \mathrm{t} \overline{\mathrm{t}} $ Production Cross Sections with the CMS Detector	PhD thesis, Universität Hamburg, 2016 link
82	R. J. Barlow and C. Beeston	Fitting using finite Monte Carlo samples	Comput. Phys. Commun. 77 (1993) 219
83	R. Brun and F. Rademakers	ROOT: An object oriented data analysis framework	NIM A 389 (1997) 81
84	S. Schmitt	TUnfold: an algorithm for correcting migration effects in high energy physics	JINST 7 (2012) T10003	1205.6201
85	A. N. Tikhonov	Solution of incorrectly formulated problems and the regularization method	Sov. Math. Dokl. 4 (1963) 1035
86	S. Schmitt	Data unfolding methods in high energy physics	Eur. Phys. J. Web Conf. 137 (2017) 11008	1611.01927
87	CMS Collaboration	Object definitions for top quark analyses at the particle level	CMS Note CERN-CMS-NOTE-2017-004, 2017 CDS
88	M. Cacciari, G. P. Salam, and G. Soyez	The catchment area of jets	JHEP 04 (2008) 005	0802.1188
89	CMS Collaboration	Precision luminosity measurement in proton-proton collisions at $ \sqrt{s} = $ 13 TeV in 2015 and 2016 at CMS	EPJC 81 (2021) 800	CMS-LUM-17-003 2104.01927
90	CMS Collaboration	CMS Luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV	CMS Physics Analysis Summary, 2018 CMS-PAS-LUM-17-004	CMS-PAS-LUM-17-004
91	CMS Collaboration	CMS Luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV	CMS Physics Analysis Summary, 2019 CMS-PAS-LUM-18-002	CMS-PAS-LUM-18-002
92	CMS Collaboration	Measurement of the Drell-Yan cross section in pp collisions at $ \sqrt{s}= $ 7 TeV	JHEP 10 (2011) 007	CMS-EWK-10-007 1108.0566
93	CMS Collaboration	Measurement of the top quark pair production cross section in proton-proton collisions at $ \sqrt{s} = $ 13 TeV	PRL 116 (2016) 052002	CMS-TOP-15-003 1510.05302
94	CMS Collaboration	Measurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at $ \sqrt{s} = $ 13 TeV	EPJC 81 (2021) 378	CMS-HIG-19-008 2011.03652
95	S. Argyropoulos and T. Sjöstrand	Effects of color reconnection on $ \mathrm{t} \overline{\mathrm{t}} $ final states at the LHC	JHEP 11 (2014) 043	1407.6653
96	J. R. Christiansen and P. Z. Skands	String formation beyond leading colour	JHEP 08 (2015) 003	1505.01681
97	M. B ä hr et al.	HERWIG++ physics and manual	EPJC 58 (2008) 639	0803.0883
98	CMS Collaboration	Running of the top quark mass from proton-proton collisions at $ \sqrt{s} = $ 13 TeV	PLB 803 (2020) 135263	CMS-TOP-19-007 1909.09193
99	T. Chwalek and F. D é liot	Top quark asymmetries	Universe 8 (2022) 622
100	M. Diehl	Theory uncertainties	in Data analysis in high energy physics: A practical guide to statistical methods, O. Behnke, K. Kröninger, T. Schörner-Sadenius, and G. Schott, eds, 2013 link
101	M. Grazzini, S. Kallweit, and M. Wiesemann	Fully differential NNLO computations with MATRIX	EPJC 78 (2018) 537	1711.06631
102	S. Catani et al.	Top-quark pair hadroproduction at next-to-next-to-leading order in QCD	PRD 99 (2019) 051501	1901.04005
103	F. Buccioni et al.	OpenLoops 2	EPJC 79 (2019) 866	1907.13071
104	F. Cascioli, P. Maierhofer, and S. Pozzorini	Scattering amplitudes with Open Loops	PRL 108 (2012) 111601	1111.5206
105	A. Denner, S. Dittmaier, and L. Hofer	Collier: a fortran-based Complex One-Loop LIbrary in Extended Regularizations	Comput. Phys. Commun. 212 (2017) 220	1604.06792
106	S. Catani et al.	Vector boson production at hadron colliders: hard-collinear coefficients at the NNLO	EPJC 72 (2012) 2195	1209.0158
107	S. Catani and M. Grazzini	An NNLO subtraction formalism in hadron collisions and its application to Higgs boson production at the LHC	PRL 98 (2007) 222002	hep-ph/0703012
108	M. Czakon	A novel subtraction scheme for double-real radiation at NNLO	PLB 693 (2010) 259	1005.0274
109	M. Czakon and D. Heymes	Four-dimensional formulation of the sector-improved residue subtraction scheme	NPB 890 (2014) 152	1408.2500
110	M. Czakon	Double-real radiation in hadronic top quark pair production as a proof of a certain concept	NPB 849 (2011) 250	1101.0642
111	P. F. Monni et al.	MiNNLO$ _{\text {PS}} $: a new method to match NNLO QCD to parton showers	JHEP 05 (2020) 143	1908.06987
112	P. F. Monni, E. Re, and M. Wiesemann	MiNNLO$ _{\text {PS}} $: optimizing 2 $ \rightarrow $ 1 hadronic processes	EPJC 80 (2020) 1075	2006.04133
113	J. Mazzitelli et al.	Top-pair production at the LHC with MINNLO$ _{PS} $	JHEP 04 (2022) 079	2112.12135
114	K. Hamilton, P. Nason, and G. Zanderighi	MINLO: Multi-scale improved NLO	JHEP 10 (2012) 155	1206.3572
115	K. Hamilton, P. Nason, C. Oleari, and G. Zanderighi	Merging $ {\mathrm{H}/\mathrm{W}/\mathrm{Z}} $ + 0 and 1 jet at NLO with no merging scale: a path to parton shower + NNLO matching	JHEP 05 (2013) 082	1212.4504
116	S. Dulat et al.	New parton distribution functions from a global analysis of quantum chromodynamics	Phys. Rev. D 93 033006, 2016 link	1506.07443
117	S. Alekhin, J. Blümlein, and S. Moch	NLO PDFs from the ABMP16 fit	EPJC 78 (2018) 477	1803.07537
118	L. A. Harland-Lang, A. D. Martin, P. Motylinski, and R. S. Thorne	Parton distributions in the LHC era: MMHT 2014 PDFs	EPJC 75 (2015) 204	1412.3989
119	H1 and ZEUS Collaborations	Combination of measurements of inclusive deep inelastic $ {\mathrm{e}^\pm\mathrm{p}} $ scattering cross sections and QCD analysis of HERA data	EPJC 75 (2015) 580	1506.06042
120	J. Butterworth et al.	PDF4LHC recommendations for LHC Run II	JPG 43 (2016) 023001	1510.03865
121	A. Accardi et al.	A critical appraisal and evaluation of modern PDFs	EPJC 76 (2016) 471	1603.08906

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