Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation
Abstract
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.
Keywords
Cite
@article{arxiv.2507.12287,
title = {Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation},
author = {Gregorio L Trevisan and Ryan M Sweeney and Robert S Granetz},
journal= {arXiv preprint arXiv:2507.12287},
year = {2025}
}