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Photon splitting corrections to soft-photon resummation

Flower, Lois; Schönherr, Marek

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Authors

Lois Flower lois.flower@durham.ac.uk
PGR Student Doctor of Philosophy

Marek Schönherr



Abstract

In this paper we present an algorithm to add photon-splitting corrections to the Yennie-Frautschi-Suura-style soft-photon resummation available in the SHERPA MonteCarlo event generator. Photon-splitting corrections enter at NNLO in QED and, as these effects are not incorporated in the standard QED FSR resummations, their size is larger than the pure hard photon-emission corrections at the same order. We introduce different lepton dressing strategies which incorporate further leptons and hadrons in addition to the customary photons, and discuss their sensitivity to dressing parameters such as the cone size. Finally, we quantify the effects of photon splittings into charged fermions and scalars under different such dressing strategies on Z → e+e− decays and find effects of up to 1% for suitably inclusive dressing strategies independent of the dressing cone size, and up to 9% if only photons are used in the dressing procedure with large dressing cones.

Citation

Flower, L., & Schönherr, M. (2023). Photon splitting corrections to soft-photon resummation. Journal of High Energy Physics, 2023(3), https://doi.org/10.1007/jhep03%282023%29238

Journal Article Type Article
Acceptance Date Mar 20, 2023
Online Publication Date Mar 29, 2023
Publication Date 2023
Deposit Date Jun 19, 2023
Publicly Available Date Jun 19, 2023
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Electronic ISSN 1029-8479
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2023
Issue 3
DOI https://doi.org/10.1007/jhep03%282023%29238
Public URL https://durham-repository.worktribe.com/output/1169978

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.






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