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Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description
We investigate how a Generative Adversarial Network could be used to generate a list of particle four-momenta from LHC proton collisions, allowing one to define a generative model that could abstract from the irregularities of typical detector geometries. As an example of application, we show how su...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1525/1/012081 http://cds.cern.ch/record/2705530 |