Anomaly-aware summary statistic from data batches

Signal-agnostic data exploration based on machine learning could unveil very subtle statistical deviations of collider data from the expected Standard Model of particle physics. The beneficial impact of a large training sample on machine learning solutions motivates the exploration of increasingly l...

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Bibliographic Details
Main Author: Grosso, G.
Other Authors: Massachusetts Institute of Technology. Laboratory for Nuclear Science
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2024
Online Access:https://hdl.handle.net/1721.1/157890