Non-abelian factorisation for next-to-leading-power threshold logarithms
D. Bonocore, E. Laenen, L. Magnea, L. Vernazza, C. D. White
TL;DR
The paper tackles the challenge of next-to-leading-power (NLP) threshold logarithms in QCD by developing a fully non-abelian NLP factorisation framework. It introduces a non-abelian radiative jet function and next-to-soft structures, and demonstrates how to subtract overlapping soft-collinear contributions to avoid double counting. The authors derive an all-order NLP factorisation formula, compute the radiative jet function at one loop, and validate the approach by reproducing NLP threshold terms in Drell-Yan production up to NNLO, including double-real emission. This work marks a significant step toward a general NLP threshold resummation formalism applicable to a broad class of processes beyond the abelian or leading-power limits.
Abstract
Soft and collinear radiation is responsible for large corrections to many hadronic cross sections, near thresholds for the production of heavy final states. There is much interest in extending our understanding of this radiation to next-to-leading power (NLP) in the threshold expansion. In this paper, we generalise a previously proposed all-order NLP factorisation formula to include non-abelian corrections. We define a non-abelian radiative jet function, organising collinear enhancements at NLP, and compute it for quark jets at one loop. We discuss in detail the issue of double counting between soft and collinear regions. Finally, we verify our prescription by reproducing all NLP logarithms in Drell-Yan production up to NNLO, including those associated with double real emission. Our results constitute an important step in the development of a fully general resummation formalism for NLP threshold effects.
