Antenna subtraction for jet production observables in full colour at NNLO

Chen, X.; Gehrmann, T.; Glover, E.W.N.; Mo, J.

doi:10.1007/jhep10(2022)040

Antenna subtraction for jet production observables in full colour at NNLO

Chen, X.; Gehrmann, T.; Glover, E.W.N.; Mo, J.

Authors

X. Chen

T. Gehrmann

Professor Nigel Glover e.w.n.glover@durham.ac.uk
Professor

J. Mo

Abstract

We describe the details of the calculation of the full colour NNLO QCD corrections to jet production observables at the LHC with antenna subtraction. All relevant matrix elements for the process pp → jj at NNLO in full colour are colour-decomposed and given in a Nc and nf expansion, making identification of leading and subleading colour contributions transparent. The colour-ordered antenna subtraction method has previously successfully been used to construct the NNLO subtraction terms for processes with up to five partons or in the leading colour approximation. However, it is challenged by the more involved subleading colour structure of the squared matrix elements in processes with six or more partons. Here, we describe the methods needed to successfully construct the NNLO subtraction terms for the subleading colour contributions to dijet production within the antenna subtraction formalism.

Citation

Chen, X., Gehrmann, T., Glover, E., & Mo, J. (2022). Antenna subtraction for jet production observables in full colour at NNLO. Journal of High Energy Physics, 2022(10), Article 40. https://doi.org/10.1007/jhep10%282022%29040

Journal Article Type	Article
Acceptance Date	Sep 19, 2022
Online Publication Date	Oct 6, 2022
Publication Date	2022
Deposit Date	Oct 10, 2022
Publicly Available Date	Oct 10, 2022
Journal	Journal of High Energy Physics
Print ISSN	1126-6708
Publisher	Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed	Peer Reviewed
Volume	2022
Issue	10
Article Number	40
DOI	https://doi.org/10.1007/jhep10%282022%29040

Files

Published Journal Article (908 Kb)
PDF

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.