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Compressing PDF sets using generative adversarial networks
We present a compression algorithm for parton densities using synthetic replicas generated from the training of a generative adversarial network (GAN). The generated replicas are used to further enhance the statistics of a given Monte Carlo PDF set prior to compression. This results in a compression...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1140/epjc/s10052-021-09338-8 http://cds.cern.ch/record/2764309 |