This could help us improve our understanding of the Sun and its impact on space weather.
Our current capabilities to observe the Sun's magnetic field only allows us to see the surface of the Sun. However, the build-up and release of energy happen higher up in the corona, the Sun's atmosphere.AI has been leveraged to accelerate the pace of discovery in many fields of research ranging from drug discovery to computer science.
Composite of extreme ultraviolet observation and magnetic field . The magnetic field lines are obtained from the simulation and show agreement with the outlined structures in EUV.Doing so helped the researchers reach a comprehensive understanding of the connections between the phenomena observed and the underlying physics that was occurring on the solar surface.
To determine if the model worked, the researchers then simulated the evolution of a solar active region. The AI model needed just 12 hours of computation time to simulate the turn of events that would happen over the period of the next five days.The team then further used its computational system to study the free magnetic energy within the coronal volume. Events like CMEs are linked to coronal volume, and the observation of ultraviolet radiation confirmed the accuracy of the method.
"The use of AI techniques for numerical simulations allows us to better incorporate observational data and holds great potential to further advance our simulation capabilities," said Tatiana Podlachikova, associated professor at Skoltech, in the press release. "Our use of artificial intelligence in this context represents a transformative leap forward."
The rapid pace of computation achieved in these simulations helped the researchers make their predictions in near real time. "The computing speed holds significant promise for improving space weather forecasting and advancing our knowledge of the Sun’s behavior," Podlachikova added.
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