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Search for new physics using unsupervised machine learning for anomaly detection in sqrt(s) = 13 TeV pp collisions recorded by the ATLAS detector at the LHC
Searches for new resonances in two-body invariant masses 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. An autoencoder network is trained with 1% randomly selected col...
Autor principal: | Cheng, Alkaid |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2869731 |
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