Non-Global Logarithms, Factorization, and the Soft Substructure of Jets
Andrew J. Larkoski, Ian Moult, Duff Neill
TL;DR
This work tackles non-global logarithms (NGLs) in jet observables by proposing a factorization framework that uses multi-differential measurements to isolate in-jet and out-of-jet scales. Through soft-subjet factorization in SCET and the introduction of the dressed gluon approximation, the authors demonstrate RG-based resummation of NGLs and connect to the Banfi-Marchesini-Smye (BMS) equation. One- and two-dressed-gluon results reproduce leading NGL behavior with sub-percent accuracy over relevant LHC-like ranges and reveal the buffer-region dynamics near jet boundaries. The approach provides a systematic path toward all-orders NGL resummation for jet substructure and suggests avenues for subleading corrections and improved Monte Carlo implementations.
Abstract
An outstanding problem in QCD and jet physics is the factorization and resummation of logarithms that arise due to phase space constraints, so-called non-global logarithms (NGLs). In this paper, we show that NGLs can be factorized and resummed down to an unresolved infrared scale by making sufficiently many measurements on a jet or other restricted phase space region. Resummation is accomplished by renormalization group evolution of the objects in the factorization theorem and anomalous dimensions can be calculated to any perturbative accuracy and with any number of colors. To connect with the NGLs of more inclusive measurements, we present a novel perturbative expansion which is controlled by the volume of the allowed phase space for unresolved emissions. Arbitrary accuracy can be obtained by making more and more measurements so to resolve lower and lower scales. We find that even a minimal number of measurements produces agreement with Monte Carlo methods for leading-logarithmic resummation of NGLs at the sub-percent level over the full dynamical range relevant for the Large Hadron Collider. We also discuss other applications of our factorization theorem to soft jet dynamics and how to extend to higher-order accuracy.
