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Autoencoders for anomaly detection at LHCb
In the following work, a Machine Learning tool that differentiates typical Standard Model events from Beyond Standard Model was developed. The algorithm, called Autoencoder, was able to successfully separate a specific low mass model of dark shower topology (soft bomb events) from Standard Model, sh...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2833850 |