Learning the latent structure of collider events

Abstract We describe a technique to learn the underlying structure of collider events directly from the data, without having a particular theoretical model in mind. It allows to infer aspects of the theoretical model that may have given rise to this structure, and can be used to cluster or classify...

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Bibliographic Details
Main Authors: B. M. Dillon, D. A. Faroughy, J. F. Kamenik, M. Szewc
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Journal of High Energy Physics
Subjects:
Online Access:http://link.springer.com/article/10.1007/JHEP10(2020)206