Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders

We study how to use deep variational autoencoders (VAEs) for a fast simulation of jets of particles at the Large Hadron Collider. We represent jets as a list of constituents, characterized by their momenta. Starting from a simulation of the jet before detector effects, we train a deep VAE to return...

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Detalles Bibliográficos
Autores principales: Touranakou, Mary, Chernyavskaya, Nadezda, Duarte, Javier, Gunopulos, Dimitrios, Kansal, Raghav, Orzari, Breno, Pierini, Maurizio, Tomei, Thiago, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: 2022
Materias:
hep-ph
Particle Physics - Phenomenology
hep-ex
Particle Physics - Experiment
cs.LG
Computing and Computers
physics.comp-ph
Other Fields of Physics
Acceso en línea:https://dx.doi.org/10.1088/2632-2153/ac7c56
http://cds.cern.ch/record/2804118

Internet

https://dx.doi.org/10.1088/2632-2153/ac7c56
http://cds.cern.ch/record/2804118

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