Fitting a deep generative hadronization model
Abstract Hadronization is a critical step in the simulation of high-energy particle and nuclear physics experiments. As there is no first principles understanding of this process, physically-inspired hadronization models have a large number of parameters that are fit to data. Deep generative models...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
SpringerOpen
2023-09-01
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| Colección: | Journal of High Energy Physics |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/JHEP09(2023)084 |
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