Anomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC

Kyle Metzger, Lana Xu, Mia Sodini +4

Anomaly detection - identifying deviations from Standard Model predictions - is a key challenge at the Large Hadron Collider due to the size and complexity of its datasets. This is…