Back to the formula - LHC edition

While neural networks offer an attractive way to numerically encode functions, actual formulas remain the language of theoretical particle physics. We use symbolic regression trained on matrix-element information to extract, for instance, optimal LHC observables. This way we invert the usual simulat...

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Bibliographic Details
Main Author: Anja Butter, Tilman Plehn, Nathalie Soybelman, Johann Brehmer
Format: Article
Language:English
Published: SciPost 2024-01-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.16.1.037