• Tue, May 12, 2026

by: Phys.org

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  • Thu, May 14, 2026

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AI-Driven Helioseismic Mapping: Unveiling the Sun's Interior

AI uses helioseismic mapping to identify solar flares and monitor the solar dynamo by analyzing acoustic anomalies.

Key Technical Details and Findings

  • Helioseismic Mapping: AI is used to process Doppler shift data to map the internal velocity of plasma, providing a 3D visualization of the solar interior.
  • Pattern Recognition: The neural networks can distinguish between "background noise" and specific acoustic anomalies that correlate with the emergence of magnetic flux.
  • Predictive Window: The AI system identifies the signatures of impending solar flares hours or even days before they reach the photosphere.
  • Data Processing Scale: The AI handles terabytes of real-time data from solar observatories, identifying frequency shifts that are too minute for human detection.
  • Internal Dynamics: The research provides new evidence on the solar dynamo, the process by which the Sun generates its magnetic field.

Beyond immediate practical applications, this research deepens the fundamental understanding of stellar physics. The "acoustic heartbeat" is not a steady rhythm but a fluctuating one, influenced by the solar cycle. By observing how these oscillations change over an 11-year period, astronomers can better understand the lifecycle of stars and the mechanisms that drive stellar evolution.

As the AI models continue to evolve, the goal is to move toward a real-time "solar weather map" that integrates acoustic data with visual imaging. This holistic approach will allow scientists to monitor the Sun's internal health and activity with the same precision that cardiologists use to monitor a human heart, ensuring that humanity is better prepared for the volatility of our nearest star.


Read the Full Phys.org Article at:
https://phys.org/news/2026-05-scientists-ai-sun-acoustic-heartbeat.html