The University of Hawai‘i Institute for Astronomy has released an AI system that reconstructs the Sun’s magnetic field in three dimensions with unprecedented accuracy. The Haleakalā Disambiguation Decoder processes data from the NSF Daniel K. Inouye Solar Telescope to nail down the field’s true direction and height. The algorithm fuses telescope observations with the physics rule that magnetic fields form closed loops, eliminating long-standing measurement gaps. Peer-reviewed tests on calm zones, active regions, and sunspots validate its precision, and the findings appear in the Astrophysical Journal. The sharper 3D maps expose electric currents and other structures that drive solar flares and coronal mass ejections. Researchers say this clarity strengthens space-weather forecasts, buying extra time to shield satellites, power grids, and communications.
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