Probing the solar coronal magnetic field with physics-informed neural networks - Nature Astronomy

Artificialintelligence enables new insights into solar magneticfield skoltech NatureAstronomy

While the photospheric magnetic field of our Sun is routinely measured, its extent into the upper atmosphere is typically not accessible by direct observations. Here we present an approach for coronal magnetic-field extrapolation, using a neural network that integrates observational data and the physical force-free magnetic-field model.

We utilize meta-learning concepts to simulate the evolution of active region NOAA 11158. Our simulation of 5 days of observations at full cadence requires less than 12 hours of total computation time, allowing for real-time force-free magnetic-field extrapolations.

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