19–22 Apr 2022
University of Bern
Europe/Zurich timezone

NLP Endpoint Factorization and Resummation for Off-Diagonal Channels

21 Apr 2022, 11:00
20m
Room 220, Hauptgebäude (University of Bern)

Room 220, Hauptgebäude

University of Bern

NLP

Speaker

Julian Strohm

Description

The off-diagonal partonic channels do not contribute at leading power in hard scattering but appear first at next-to-leading power (NLP). In contrast to the diagonal channels, leading logarithms are already non-trivial and resummation requires new, refined methods. Techniques developed at leading power cannot be readily utilized since endpoint divergences spoil NLP factorization. In four dimensions, NLP factorization formulae are only well defined after careful treatment of the endpoint regions.

We present a factorization formula, which is free of endpoint divergences in four dimensions. This factorization formula allows us to resum next-to-leading-power logarithms with (almost) standard RGE methods.

Primary authors

Martin Beneke (Technische Universitaet Muenchen (DE)) Mathias Garny (Technische Universitaet Muenchen (DE)) Sebastian Jaskiewicz (Technical University of Munich) Julian Strohm Robert Szafron (Brookhaven National Laboratory) Leonardo Vernazza (Nikhef) Jian Wang (Shandong University)

Presentation materials