Stellarator Equilibrium Reconstruction with DESC

We present new capabilities in DESC [2,3,4,5] for the 3D stellarator equilibrium experimental reconstruction problem. The 3D equilibrium reconstruction problem conventionally requires many expensive 3D equilibrium solves in order to acquire the derivative information necessary for matching the synthetic diagnostic signals to the measured signals [1]. DESC’s automatic differentiation enables methods that use fewer solves per reconstruction iteration, resulting in more efficient, faster optimization. Results will be shown using these capabilities to perform reconstruction and compare DESC to other reconstruction codes and literature.

[1] Hanson et. al., NF (2009).

[2] Dudt, D. & Kolemen, E. PoP (2020).

[3] Panici, D. et al. JPP (2023).

[4] Conlin, R. et al. JPP (2023).

[5] Dudt, D. et al. JPP (2023).