CMSTOP20006 ; CERNEP2023197  
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}} $) production are measured in protonproton collisions at a centerofmass energy of 13 TeV using a sample of events containing two oppositely charged leptons. The data were recorded with the CMS detector at the CERN LHC and correspond to an integrated luminosity of 138 fb$^{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 multidifferential cross sections.  
Links: eprint arXiv:2402.08486 [hepex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; CADI line (restricted) ; 
Figures  
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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. 
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Figure 2:
Distributions of $ p_{\mathrm{T}}(\mathrm{t}) $ (upper left), $ y(\mathrm{t}) $ (upper right), $ p_{\mathrm{T}}({\mathrm{t}\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. 
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Figure 2a:
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. 
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Figure 2b:
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. 
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Figure 2c:
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. 
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Figure 2d:
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. 
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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. 
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Figure 3a:
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. 
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Figure 3b:
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. 
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Figure 3c:
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. 
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Figure 3d:
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. 
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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 pseudodata 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 pseudodata to the predicted spectra. 
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Figure 4a:
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 pseudodata 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 pseudodata to the predicted spectra. 
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Figure 4b:
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 pseudodata 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 pseudodata to the predicted spectra. 
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Figure 5:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several partonlevel 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. 
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Figure 5a:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several partonlevel 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. 
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Figure 5b:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several partonlevel 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. 
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Figure 5c:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several partonlevel 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. 
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Figure 6:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particlelevel 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. 
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Figure 6a:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particlelevel 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. 
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Figure 6b:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particlelevel 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. 
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Figure 6c:
The various sources of systematic uncertainty and their relative contributions to the overall uncertainty are shown for several normalized particlelevel 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. 
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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 (`POWPYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of $ \chi^2 $ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data. 
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Figure 7a:
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 (`POWPYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of $ \chi^2 $ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data. 
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Figure 7b:
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 (`POWPYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of $ \chi^2 $ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data. 
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Figure 7c:
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 (`POWPYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of $ \chi^2 $ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data. 
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Figure 7d:
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 (`POWPYT') simulation are represented by a vertical bar on the corresponding points. For each MC model, a value of $ \chi^2 $ is reported that takes into account the measurement uncertainties. The lower panel in each plot shows the ratios of the predictions to the data. 
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Figure 8:
Normalized differential $ \mathrm{t} \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. 
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Figure 8a:
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. 
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Figure 8b:
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. 
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Figure 8c:
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. 
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Figure 8d:
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. 
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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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9a:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9b:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9c:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9d:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9e:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 9f:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 7. 
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Figure 10:
Normalized differential $ \mathrm{t} \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. 
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Figure 10a:
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. 
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Figure 10b:
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. 
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Figure 10c:
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. 
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Figure 10d:
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. 
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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. 
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Figure 11a:
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. 
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Figure 11b:
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. 
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Figure 11c:
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. 
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Figure 11d:
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. 
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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. 
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Figure 12a:
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. 
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Figure 12b:
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. 
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Figure 12c:
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. 
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Figure 12d:
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. 
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Figure 13:
Normalized $ [y(\mathrm{t}),\, p_{\mathrm{T}}(\mathrm{t})] $ cross sections measured at the parton level in the full phase space (upper) and at the particle level in a fiducial phase space (lower). The data are shown as filled circles with 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 (`POWPYT') 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 13a:
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 (`POWPYT') 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 13b:
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 (`POWPYT') 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 14a:
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 14b:
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 15a:
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 15b:
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 16a:
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 16b:
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 17a:
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. 
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Figure 17b:
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 18a:
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. 
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Figure 18b:
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 19a:
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 19b:
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 20a:
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 20b:
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 21a:
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 21b:
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 22a:
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. 
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Figure 22b:
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 (`POWPYT') 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 23a:
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 (`POWPYT') 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 23b:
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 (`POWPYT') 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 23c:
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 (`POWPYT') 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. 
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Figure 24a:
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 24b:
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 24c:
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. 
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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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 23. 
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Figure 25a:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 23. 
png pdf 
Figure 25b:
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 (`POWPYT') simulations with different values of $ m_{\mathrm{t}}^{\text{MC}} $. Further details can be found in the caption of Fig. 23. 
png pdf 
Figure 25c:
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 (`POWPYT') 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. 
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Figure 26a:
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 26b:
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. 
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Figure 28:
Normalized $ [\eta(\ell\overline{\ell}),\, p_{\mathrm{T}}(\ell\overline{\ell})] $ cross sections are shown for data (filled circles) and various MC predictions (other points). Further details can be found in the caption of Fig. 23. 
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 (`POWPYT') 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 30a:
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 (`POWPYT') 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 30b:
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 (`POWPYT') 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 30c:
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 (`POWPYT') 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 30d:
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 (`POWPYT') 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 (`POWPYT') 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 31a:
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 (`POWPYT') 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 31b:
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 (`POWPYT') 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 32a:
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 32b:
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 33a:
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 33b:
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 34a:
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 34b:
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 35a:
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 35b:
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 36a:
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 36b:
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 37a:
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 37b:
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 38a:
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 38b:
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 39a:
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 39b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 40a:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 40b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 40c:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 40d:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 41a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 41b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 41c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 41d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42e:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 42f:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 43a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 43b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 43c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 43d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 44a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 44b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 44c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 44d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 45a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 45b:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 45c:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 40. 
png pdf 
Figure 45d:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 46a:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 46b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 47a:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 47b:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 48a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 48b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 49a:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y({\mathrm{t}\overline{\mathrm{t}}} )] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 49b:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y({\mathrm{t}\overline{\mathrm{t}}} )] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 50a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 50b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 51a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 51b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 52a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 52b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 53a:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 53b:
Normalized $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 54a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 54b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 55a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 46. 
png pdf 
Figure 55b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', 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 56a:
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 (`POWPYT', 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 56b:
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 (`POWPYT', 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 56c:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 57a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 57b:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 57c:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 58a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 58b:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 58c:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 59a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 56. 
png pdf 
Figure 59b:
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 (`POWPYT', 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 (`POWPYT', 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 (`POWPYT', 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 (`POWPYT', 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 (`POWPYT') 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 63a:
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 (`POWPYT') 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 63b:
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 (`POWPYT') 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 63c:
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 (`POWPYT') 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 63d:
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 (`POWPYT') 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 (`POWPYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 63. 
png pdf 
Figure 64a:
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 (`POWPYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 63. 
png pdf 
Figure 64b:
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 (`POWPYT') simulation with various PDF sets (other points). Further details can be found in the caption of Fig. 63. 
png pdf 
Figure 64c:
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 (`POWPYT') 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 (`POWPYT') 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 65a:
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 (`POWPYT') 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 65b:
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 (`POWPYT') 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 65c:
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 (`POWPYT') 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 65d:
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 (`POWPYT') 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 66a:
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 66b:
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 66c:
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 66d:
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 67a:
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 67b:
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 67c:
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 67d:
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 67e:
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 67f:
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 68a:
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 68b:
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 68c:
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 68d:
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. 
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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 69a:
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 69b:
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 69c:
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 69d:
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 70a:
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 70b:
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 70c:
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 70d:
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 (`POWPYT') 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 71a:
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 (`POWPYT') 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 71b:
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 (`POWPYT') 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 72a:
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 72b:
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 73a:
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 73b:
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 74a:
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 74b:
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 75a:
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 75b:
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 76a:
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 76b:
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 77a:
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 77b:
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 78a:
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 78b:
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 79a:
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 79b:
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 80a:
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 80b:
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 (`POWPYT') 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 81a:
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 (`POWPYT') 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 81b:
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 (`POWPYT') 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 81c:
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 (`POWPYT') 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 82a:
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 82b:
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 82c:
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 83a:
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 83b:
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 83c:
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 84a:
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 84b:
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 (`POWPYT') 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 88a:
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 (`POWPYT') 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 88b:
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 (`POWPYT') 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 88c:
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 (`POWPYT') 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 88d:
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 (`POWPYT') 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 (`POWPYT') 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 89a:
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 (`POWPYT') 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 89b:
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 (`POWPYT') 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 90a:
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 90b:
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 91a:
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 91b:
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 92a:
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 92b:
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 93a:
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 93b:
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 94a:
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 94b:
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 95a:
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 95b:
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 96a:
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 96b:
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 97a:
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 97b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 98a:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 98b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 98c:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 98d:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 99a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 99b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 99c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 99d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100e:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 100f:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 101a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 101b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 101c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 101d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 102a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 102b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 102c:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 102d:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 103a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 103b:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 103c:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 98. 
png pdf 
Figure 103d:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 104a:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 104b:
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 (`POWPYT', open circles) simulation and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 105a:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 105b:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, p_{\mathrm{T}}(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 106a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 106b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 107a:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y({\mathrm{t}\overline{\mathrm{t}}} )] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 107b:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y({\mathrm{t}\overline{\mathrm{t}}} )] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 108a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 108b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 109a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 109b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 110a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 110b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 111a:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 111b:
Absolute $ [m({\mathrm{t}\overline{\mathrm{t}}} ),\, y(\mathrm{t})] $ cross sections are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 112a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 112b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 113a:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO precision (other points). Further details can be found in the caption of Fig. 104. 
png pdf 
Figure 113b:
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 (`POWPYT', open circles) simulation, and various theoretical predictions with beyondNLO 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 (`POWPYT', 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 114a:
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 (`POWPYT', 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 114b:
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 (`POWPYT', 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 114c:
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 (`POWPYT', 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) dNLO precision (other points). are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 115a:
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) dNLO precision (other points). are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 115b:
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) dNLO precision (other points). are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 115c:
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) dNLO precision (other points). are shown for data (filled circles), POWHEG + PYTHIA 8 (`POWPYT', 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 116a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 116b:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 116c:
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 (`POWPYT', 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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 117a:
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 (`POWPYT', open circles) simulation, and STRIPPER NNLO calculation (stars). Further details can be found in the caption of Fig. 114. 
png pdf 
Figure 117b:
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 (`POWPYT', 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 (`POWPYT', 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 (`POWPYT', 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 (`POWPYT', 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 singledifferential 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 singledifferential 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 multidifferential 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 multidifferential 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 singledifferential cross sections for lepton and bjet 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 additionaljet 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 additionaljet 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 singledifferential 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 (`POWPYT') 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 multidifferential 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 (`POWPYT') 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 singledifferential cross sections for lepton and bjet kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 singledifferential 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 singledifferential 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 multidifferential 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 multidifferential 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 singledifferential cross sections for lepton and bjet 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 additionaljet 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 additionaljet 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 singledifferential 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 (`POWPYT') 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 multidifferential 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 (`POWPYT') 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 singledifferential cross sections for lepton and bjet kinematic observables at the particle level are shown with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 singledifferential 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 singledifferential 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 multidifferential 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 multidifferential 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 singledifferential cross sections for lepton and bjet 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 additionaljet 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 additionaljet 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 singledifferential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 multidifferential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 singledifferential cross sections for lepton and bjet kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 singledifferential 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 singledifferential 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 multidifferential 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 multidifferential 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 singledifferential cross sections for lepton and bjet 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 additionaljet 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 additionaljet 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 singledifferential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 multidifferential cross sections for $ \mathrm{t} \overline{\mathrm{t}} $ and top quark kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 singledifferential cross \\ sections for lepton and bjet kinematic observables at the particle level with respect to the POWHEG + PYTHIA 8 (`POWPYT') 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 protonproton 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 particlelevel objects in a fiducial phase space close to that of the detector acceptance and with partonlevel 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 nexttoleadingorder (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 tripledifferential cross sections show large modeltodata 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 nexttoNLO 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 multidifferential distributions, the observed differences between data and simulation still remain significant, providing important input for future theoretical predictions. 
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Compact Muon Solenoid LHC, CERN 