Uncertainty quantification for virtual diagnostic of particle accelerators
Virtual diagnostic (VD) is a computational tool based on deep learning that can be used to predict a diagnostic output. VDs are especially useful in systems where measuring the output is invasive, limited, costly or runs the risk of altering the output. Given a prediction, it is necessary to relay h...
Na minha lista:
| Principais autores: | , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2021-07-01
|
| coleção: | Physical Review Accelerators and Beams |
| Acesso em linha: | http://doi.org/10.1103/PhysRevAccelBeams.24.074602 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|