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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| Accès en ligne: | https://arxiv.org/abs/2507.12287 |
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| _version_ | 1866913944677908480 |
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| author | Trevisan, Gregorio L Sweeney, Ryan M Granetz, Robert S |
| author_facet | Trevisan, Gregorio L Sweeney, Ryan M Granetz, Robert S |
| contents | A magnetic separation algorithm originally introduced by Gauss has been revisited in recent years with application to magnetically-confined fusion experiments. The main result offered by Gauss' Separation Algorithm~(GSA) is a magnetic field computation that enables the decomposition of the contributions due to sources internal and external to a bounded volume through the generalized Virtual-Casing Principle. The present work applies GSA to simulations of the SPARC Primary Reference Discharge and demonstrates its separation capability on all phases of the shot, including the ramp-up during which significant currents on the passive structures often complicate the reconstruction of plasma equilibria. Such early results suggest a promising new way to study ramp-ups, disruptions, and vertical displacement events without any specific modeling assumption. Envisaged applications include reading magnetic data from experimental diagnostics and producing a new set of signals without external contributions to be used by downstream equilibrium codes for improved accuracy or speed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_12287 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation Trevisan, Gregorio L Sweeney, Ryan M Granetz, Robert S Plasma Physics Computational Physics A magnetic separation algorithm originally introduced by Gauss has been revisited in recent years with application to magnetically-confined fusion experiments. The main result offered by Gauss' Separation Algorithm~(GSA) is a magnetic field computation that enables the decomposition of the contributions due to sources internal and external to a bounded volume through the generalized Virtual-Casing Principle. The present work applies GSA to simulations of the SPARC Primary Reference Discharge and demonstrates its separation capability on all phases of the shot, including the ramp-up during which significant currents on the passive structures often complicate the reconstruction of plasma equilibria. Such early results suggest a promising new way to study ramp-ups, disruptions, and vertical displacement events without any specific modeling assumption. Envisaged applications include reading magnetic data from experimental diagnostics and producing a new set of signals without external contributions to be used by downstream equilibrium codes for improved accuracy or speed. |
| title | Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation |
| topic | Plasma Physics Computational Physics |
| url | https://arxiv.org/abs/2507.12287 |