Cargando…
Water Cherenkov detector reconstruction by Generative Adversarial Neural networks
In a variety of physics experiment it can be beneficial to have targets with very large mass. One of the most cost effective ways to do so is using water. One important characteristic of water is that as light moves trough it approximately 3/4 of the speed of light in vacuum. When a charged particle t...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2783321 |