Work

One-loop matrix element emulation with factorisation awareness

Year: 2023

Type: article

Abstract: A bstract 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.

Source: Journal of High Energy Physics

DOI: 10.1007/jhep05(2023)159

Authors: D. Maître, H. Truong

Institution: Durham University

Language: English

Topic: Particle physics theoretical and experimental studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funder: Mainz Institute for Theoretical Physics, Johannes Gutenberg University Mainz

Award: G1394709509