Machine-learning techniques for model-independent searches in dijet final states
Anomaly detection methods used in a recent search for new phenomena by CMS at the CERN LHC are presented. The methods use machine learning to detect anomalous jets produced in the decay of new massive particles without depending on a specific theory model. The effectiveness of these approaches in en...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IOP Publishing
2026-01-01
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| Collection: | Machine Learning: Science and Technology |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1088/2632-2153/ae7d87 |
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