Predict the shape of a fusion plasma (the magnetic equilibrium, $\psi$) from
control inputs and diagnostics alone — without magnetic sensors. Data comes from
two tokamaks:
DIII-D — General Atomics tokamak (San Diego, USA)
MAST — Mega Ampere Spherical Tokamak (Culham, UK)
In data-science terms this is an image-regression / control problem: predict a
2-D poloidal flux map (efit_psirz) at each EFIT timestep from coil currents
(the actuators)… See the full description on the dataset page: https://huggingface.co/datasets/Sophelio/fusion-equilibrium-challenge.
