Anomaly-detection-with-transformer-model-in-HEP

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Unsupervised anomaly detection has become a pivotal technique for model-independent searches for new physics at the LHC. In high-energy physics (HEP), anomaly detection is employed to identify rare, outlier events in collision data that deviate significantly from expected distributions.

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Created on

July 11, 2025

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