Abstract Accurate reconstruction of tokamak equilibria requires precise measurements of magnetic fields and magnetic flux, which is essential for effective plasma control and optimization. To reconstruct equilibria, code like equilibrium fitting code (EFIT) solves the nonlinear Grad–Shafranov equation. This depends on the traditional algorithms achieved by iteratively minimizing the discrepancy between predicted and measured edge electromagnetic diagnostic signals. The iterative methods face hig
Reconstruction of poloidal magnetic fluxes on EAST based on neural networks with edge electromagnetic diagnostics
Xiangze Xia·Jinping Qian·Jian Liu·Zixi Liu·Xiaodong Wu·Chenguang Wan·Xiaohe Wu·Xiang Gao·Guoqiang Li·Zhengping Luo·Feifei Long
