IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection

Anomaly detection through employing machine learning techniques has emerged as a novel powerful tool in the search for new physics beyond the Standard Model. Historically similar to the development of jet observables, theoretical consistency has not always assumed a central role in the fast developm...

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Bibliographic Details
Main Authors: Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
anomaly detection
graph neural network
high energy physics
IRC safety
anomalous jets
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.943135/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.943135/full

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