标题： 高斯分离算法用于SPARC PRD模拟的磁场分解 显示英文标题

标题： Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation

摘要： 一种由高斯最初引入的磁分离算法近年来被重新研究，并应用于磁约束聚变实验。 高斯分离算法（GSA）的主要成果是一种磁场计算，它通过广义虚拟套筒原理实现了对来源于有限体积内部和外部源的贡献的分解。 本研究将GSA应用于SPARC主参考放电的模拟，并展示了其在放电所有阶段的分离能力，包括在电流在被动结构上显著增加的上升阶段，这通常会使得等离子体平衡的重建变得复杂。 这些早期结果表明了一种有前景的新方法来研究上升阶段、中断和垂直位移事件，而无需任何特定的建模假设。 预期的应用包括从实验诊断中读取磁数据，并生成一组新的信号，以消除外部贡献，供下游平衡代码使用，以提高准确性或速度。 显示英文摘要

摘要： 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.