arxiv
PublishedOctober 13, 2026 at 4:00 AM
Local Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC
Publisher summary· verbatim
arXiv:2610.13437v1 Announce Type: new Abstract: Anomaly detection, the identification of collision events that deviate from Standard Model expectations, is one of the most promising model-agnostic strategies for new-physics searches at the Large Hadron Collider. Searching for rare events in learned
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Originally published on arxiv ↗