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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...
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| Lenguaje: | eng |
| Publicado: |
2023
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| Acceso en línea: | http://cds.cern.ch/record/2867979 |