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Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection with the ATLAS detector
Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb−1 of 𝑝𝑝 collisions at √𝑠 = 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2866670 |