Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider

We propose a novel approach to real-time anomaly detection at the Large Hadron Collider, aimed at enhancing the discovery potential for new fundamental phenomena in particle physics. Our method leverages the Latent Outlier Exposure technique and is evaluated using three distinct anomaly detection mo...

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Autores principales:	Thomas Dartnall Stern, Amit Kumar Mishra, James Michael Keaveney
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-02-01
Colección:	Computers
Materias:	anomaly detection unsupervised LHC particle physics autoencoder
Acceso en línea:	https://www.mdpi.com/2073-431X/14/3/79
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