Cargando…
Simulating the LHCb hadron calorimeter with generative adversarial networks
Generative adversarial networks are known as a tool for fast simulation of data. Our aim is to research and develop a physical application of these tools by simulating LHCb hadron calorimeter (HCAL) in order to speed up the Monte Carlo datasets production.
| Autores principales: | , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1393/ncc/i2019-19197-3 http://cds.cern.ch/record/2834891 |