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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

Submitted to 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.

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