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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...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1103/PhysRevAccelBeams.25.052401 http://cds.cern.ch/record/2812715 |