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Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoencoder training does not depend on any specific new physics signature, the proposed procedure doesn’t make specific assump...

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Detalles Bibliográficos
Autores principales:	Cerri, Olmo, Nguyen, Thong Q., Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch
Lenguaje:	eng
Publicado:	2018
Materias:	hep-ph Particle Physics - Phenomenology cs.LG Computing and Computers hep-ex Particle Physics - Experiment
Acceso en línea:	https://dx.doi.org/10.1007/JHEP05(2019)036 http://cds.cern.ch/record/2650952

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