CERN Accelerating science

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: Post-fit distributions of \ttbar signal and backgrounds compared with data for the observables used in the fiducial cross-section fit. The hatched bands represent combined statistical and systematic uncertainties, after propagating the constraints and correlations obtained from the fit to data. All background categories except single top and $W$+jets are combined in one category called Other bkg. The first and last bins contain underflow and overflow events, respectively. : Caption not extracted

: Post-fit distributions of \ttbar signal and backgrounds compared with data for the observables used in the fiducial cross-section fit. The hatched bands represent combined statistical and systematic uncertainties, after propagating the constraints and correlations obtained from the fit to data. All background categories except single top and $W$+jets are combined in one category called Other bkg. The first and last bins contain underflow and overflow events, respectively. : Caption not extracted

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: : Pre-fit (top) and post-fit (bottom) distributions of the scalar sum of jet transverse momenta in the event ($H_{\textrm{T}}$) in SR1 (left), the fourth largest jet \pt in SR2 (middle) and the lepton \pt in SR3 (right) for the fiducial cross-section measurement. The hatched bands represent combined statistical and systematic uncertainties. The first and last bins contain underflow and overflow events, respectively.

: : Pre-fit (top) and post-fit (bottom) distributions of the scalar sum of jet transverse momenta in the event ($H_{\textrm{T}}$) in SR1 (left), the fourth largest jet \pt in SR2 (middle) and the lepton \pt in SR3 (right) for the fiducial cross-section measurement. The hatched bands represent combined statistical and systematic uncertainties. The first and last bins contain underflow and overflow events, respectively.

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Ranking plot showing the effect of the ten most important systematic uncertainties on the measured cross-section, normalised to the predicted value, in the inclusive fit to data. The impact of each NP, $\Delta \sigma_{\text{inc}}/\sigma^{\text{pred.}}_{\text{inc}}$, is computed by comparing the nominal best-fit value of $\sigma_{\text{inc}}/\sigma^{\text{pred}}_{\text{inc}}$ with the result of the fit when fixing the considered nuisance parameter to its best-fit value, $\hat{\theta}$, shifted by its pre-fit and post-fit uncertainties $\pm \Delta \theta$ ($\pm \Delta \hat{\theta})$. The empty boxes show the pre-fit impact while the filled boxes show the post-fit impact of each nuisance parameter on the result. The black dots represent the post-fit value (pull) of each NP where the pre-fit value is subtracted, while the black line represents the post-fit uncertainty normalised to the pre-fit uncertainty. The ``JES (pile-up subtraction)'' is one of the 29 components of the JES uncertainty, the ``FSR model SR1'' is the FSR scale uncertainty in SR1 and the ``PDF4LHC NP4'' is one of the 30 independent PDF variations. Other components are described in Section~\ref{sec:systematics}.

Ranking plot showing the effect of the ten most important systematic uncertainties on the measured cross-section, normalised to the predicted value, in the inclusive fit to data. The impact of each NP, $\Delta \sigma_{\text{inc}}/\sigma^{\text{pred.}}_{\text{inc}}$, is computed by comparing the nominal best-fit value of $\sigma_{\text{inc}}/\sigma^{\text{pred}}_{\text{inc}}$ with the result of the fit when fixing the considered nuisance parameter to its best-fit value, $\hat{\theta}$, shifted by its pre-fit and post-fit uncertainties $\pm \Delta \theta$ ($\pm \Delta \hat{\theta})$. The empty boxes show the pre-fit impact while the filled boxes show the post-fit impact of each nuisance parameter on the result. The black dots represent the post-fit value (pull) of each NP where the pre-fit value is subtracted, while the black line represents the post-fit uncertainty normalised to the pre-fit uncertainty.