Professor Daniel Maitre daniel.maitre@durham.ac.uk
Professor
Professor Daniel Maitre daniel.maitre@durham.ac.uk
Professor
Henry Truong henry.truong@durham.ac.uk
PGR Student Doctor of Philosophy
In this article we present an emulation strategy for one-loop matrix elements. This strategy is based on the factorisation properties of matrix elements and is an extension of the work presented in [1]. We show that a percent-level accuracy can be achieved even for large multiplicity processes. The point accuracy obtained is such that it dwarfs the statistical accuracy of the training sample which allows us to use our model to augment the size of the training set by orders of magnitude without additional evaluations of expensive one-loop matrix elements.
Maître, D., & Truong, H. (2023). One-loop matrix element emulation with factorisation awareness. Journal of High Energy Physics, 2023(5), Article 159. https://doi.org/10.1007/jhep05%282023%29159
Journal Article Type | Article |
---|---|
Acceptance Date | May 1, 2023 |
Online Publication Date | May 18, 2023 |
Publication Date | 2023 |
Deposit Date | Oct 9, 2023 |
Publicly Available Date | Oct 9, 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 | 5 |
Article Number | 159 |
DOI | https://doi.org/10.1007/jhep05%282023%29159 |
Keywords | Nuclear and High Energy Physics |
Public URL | https://durham-repository.worktribe.com/output/1787630 |
Published Journal Article
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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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