Back to the formula - LHC edition

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

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