Data-driven modeling of nonlinear materials in normal-conducting magnets
Accurate numerical modeling of normal-conducting accelerator magnets requires a reliable characterization of the iron saturation and hysteresis as well as a precise knowledge of the magnet geometry as built. Computations of the field quality are not easily achieving the accuracy required by the acce...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2022-05-01
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| Colecção: | Physical Review Accelerators and Beams |
| Acesso em linha: | http://doi.org/10.1103/PhysRevAccelBeams.25.052401 |
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