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Helioseismology

The Sun

Imaging flows, magnetic fields, and convection in the solar interior using acoustic oscillations.

The Sun rings like a bell. Millions of propagate through its interior, each one carrying a fingerprint of the medium it traversed. For thirty years, helioseismology has exploited this fact to measure the Sun's internal rotation, sound-speed profile, and helium abundance — but the field hit a wall. Convective velocities predicted by models are an order of magnitude larger than what observations reveal.

Our work focuses on resolving this 'convection conundrum' using deep inversion methods and convolutional neural networks trained on simulated solar oscillations. Recent results — published in Nature Astronomy — identified global-scale Rossby waves and magnetically modified oscillation modes that earlier analyses had overlooked.

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Evidence for global-scale magnetically modified Rossby waves in the Sun

Shravan Hanasoge, C Hanson

Nature Astronomy, 1-8 (2026)

Sun
Evidence for global-scale magnetically modified Rossby waves in the Sun

Understanding and predicting solar magnetism is critical for safeguarding satellites, planning space missions and mitigating the effects of space weather on modern infrastructure. However, the physical processes governing the solar cycle remain elusive. Here, applying methods of helioseismology on observations taken by the Helioseismic and Magnetic Imager, we report the possible detection of global magnetized inertial dispersions, a slow mode and a weaker, retrograde feature possibly consistent with the fast mode, whose dynamics are theorized to modulate the solar dynamo. These modes appear to be confined to layers r/R⊙≲ 0.98, exhibit amplitudes weaker than those of hydrodynamic Rossby waves and resonate at frequencies consistent with the presence of an effective large-scale toroidal magnetic field of strength ∼5ρ/ρS Gauss, where ρ is density and ρS ≈ 4 × 10−7g cm−3 is the surface density. If the toroidal field were to be located at the base of the convection zone (ρ ≈ 0.44 g cm−3), its amplitude would be \~5 × 103 G, consistent with helioseismic and other estimates. By mapping these motions in the surface layers, we uncover a window into the magnetic architecture of the Sun, offering a potential path towards more accurate forecasts of solar activity.

Team members

Collaborators

  • Google DeepMindComputing
  • Max Planck Institute for Solar System ResearchInternational
  • California Institute of TechnologyInternational
  • Google DeepMindInternational

For all peer-reviewed publications across the group, see the full publications page.

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