The ability to predict which patterns are formed in brain scans when imagining a celery or an airplane, based on how these concepts as words co-occur in texts, suggests that it is possible to model me
Covariance matrix of the Absolute differential cross-section as function of $p_{T}^{t,1}$ at particle level in the resolved topology, accounting for the statistical and systematic uncertainties.
