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Search for new physics using unsupervised machine learning for anomaly detection with ATLAS
Searches for new resonances in two-body invariant mass distributions are performed using an unsupervised anomaly detection technique in events produced in pp collisions at a center-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. Studies are conducted in data containing at least o...
Autor principal: | Zhang, Rui |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2861647 |
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