Particle-based fast jet simulation at the LHC with variational autoencoders
Particle-based fast jet simulation at the LHC with variational autoencoders
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Author / Creator
Univ. of California, San Diego, CA (United States) , California Institute of Technology (CalTech), Pasadena, CA (United States) , Touranakou, Mary , Chernyavskaya, Nadezda , Duarte, Javier , Gunopulos, Dimitrios , Kansal, Raghav , Orzari, Breno , Pierini, Maurizio , Tomei, Thiago and Vlimant, Jean-Roch
Publisher
United States: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
United States: IOP Publishing
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Scope and Contents
Contents
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 the corresponding list of constituents after detec...
Alternative Titles
Full title
Particle-based fast jet simulation at the LHC with variational autoencoders
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Primary Identifiers
Record Identifier
TN_cdi_osti_scitechconnect_1875993
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_osti_scitechconnect_1875993
Other Identifiers
ISSN
2632-2153
E-ISSN
2632-2153
