Generative Adversarial Networks for fast simulation

Deep Learning techniques are being studied for different applications by the HEP community: in this talk, we discuss the case of detector simulation. The need for simulated events, expected in the future for LHC experiments and their High Luminosity upgrades, is increasing dramatically and requires...

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Detalles Bibliográficos
Autores principales: Carminati, Federico, Khattak, Gulrukh, Loncar, Vladimir, Nguyen, Thong Q, Pierini, Maurizio, Brito Da Rocha, Ricardo, Samaras-Tsakiris, Konstantinos, Vallecorsa, Sofia, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: IOP 2020
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/1525/1/012064
http://cds.cern.ch/record/2725602

Internet

https://dx.doi.org/10.1088/1742-6596/1525/1/012064
http://cds.cern.ch/record/2725602

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