Speaker
Chang Wu
(University of Göttingen / Technion)
Description
High-precision all-order calculations can only be performed for a narrow class of observables, which are sensitive to radiation over the entire final state phase-space. When phase-space boundaries are introduced, the resummation is affected by so-called non-global logarithms, which have an intricate all-order structure. In this talk, we present a first-principle calculation for the leading-order non-global logarithms in large-$N_c$ limit, and some improvements for higher-order and resummed results are proposed with artificial neural networks, which can dramatically speed up needed theory calculations. And the impact of the finite-$N_c$ corrections is discussed in the end.
Authors
Chang Wu
(University of Göttingen / Technion)
Dr
Simone Marzani
(Università di Genova and INFN Genova)
Michael Spannowsky
(IPPP Durham)
Marco Bellagente
(Universität Heidelberg)
