Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark

We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton-proton collisions at the Large Hadron Collider. Anomaly detection based on ALAD matches performances reached by Variational Autoencoders, with a substantial improvement in...

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Detalles Bibliográficos
Autores principales: Knapp, Oliver, Cerri, Olmo, Dissertori, Guenther, Nguyen, Thong Q., Pierini, Maurizio, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: 2020
Materias:
hep-ph
Particle Physics - Phenomenology
cs.LG
Computing and Computers
hep-ex
Particle Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1140/epjp/s13360-021-01109-4
http://cds.cern.ch/record/2723971

Internet

https://dx.doi.org/10.1140/epjp/s13360-021-01109-4
http://cds.cern.ch/record/2723971

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