Professor Daniel Maitre daniel.maitre@durham.ac.uk
Professor
One-loop matrix element emulation with factorisation awareness
Maître, D.; Truong, H.
Authors
Henry Truong henry.truong@durham.ac.uk
PGR Student Doctor of Philosophy
Abstract
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.
Citation
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 |
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 |
Files
Published Journal Article
(1.7 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
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.
You might also like
Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples
(2023)
Journal Article
Machine learning and LHC event generation
(2023)
Journal Article
Multi-variable integration with a neural network
(2023)
Journal Article
A factorisation-aware Matrix element emulator
(2021)
Journal Article
Two-Loop Five-Parton Leading-Colour Finite Remainders in the Spinor-Helicity Formalism
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search