Cargando…
Machine learning-based heating detection from pressure measurements in the CERN Large Hadron Collider
Machine learning models are proposed to successfully detect heating from pressure measurements in synchrotron colliders. These models allow to analyze all the pressure measurements in the time available between two consecutive machine runs. The limits of simple heuristic-based algorithms arsing from...
| Autores principales: | , , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2020.164995 http://cds.cern.ch/record/2751450 |