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New Physics Agnostic Selections For New Physics Searches

We discuss a model-independent strategy for boosting new physics searches with the help of an unsupervised anomaly detection algorithm. Prior to a search, each input event is preprocessed by the algorithm - a variational autoencoder (VAE). Based on the loss assigned to each event, input data can be...

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Detalles Bibliográficos
Autores principales:	Woźniak, Kinga Anna, Cerri, Olmo, Duarte, Javier M, Möller, Torsten, Ngadiuba, Jennifer, Nguyen, Thong Q, Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch
Lenguaje:	eng
Publicado:	2020
Materias:	Computing and Computers Particle Physics - Experiment
Acceso en línea:	https://dx.doi.org/10.1051/epjconf/202024506039 http://cds.cern.ch/record/2752192

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