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Anomaly Detection with Artificial Intelligence: Post-mortem analysis of LHC ion beam losses during high-energy beam dumps
The analysis of beam losses and detection of anomalies during particle collision experiments in the Large Hadron Collider is of paramount importance to ensure the integrity and safety of the machine’s equipment. This study addresses the research gap by focusing on the post-mortem detection of anomal...
Autor principal: | Schumacher, Thorsten Martin |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2867280 |
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