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This article explores the critical need for the Stellar Observation Network Group (SONG) in modeling the near-surface layers of stars. We currently face challenges such as convection, turbulence, and low-temperature opacities that introduce discrepancies between observed and modeled frequencies. Low-frequency modes, especially l=3, are essential for accurate inversions and diagnostics. By integrating these modes, SONG aims to enhance our understanding of stellar physics, improve modeling accuracy, and provide clearer insights into the behavior of stars.
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Why We Need SONG Sarbani Basu Yale University
Image courtesy J. Christensen-Dalsgaard
We do not know how to model the near surface layers of stars. Problems • convection/turbulence • Atmospheres • Low temperature opacities • Treatment of radiation in optically thin layers • ….. The PESKY SURFACE TERM These problems introduce a frequency dependent offset between observed and modelled frequencies.
Same interior physics could still give rise to different surface terms
Low Frequencies will help in modelling by defining the surface term
l=3 modes will allow inversions A HermitianEigenvalue problem, therefore use the variational principle:
The Best Kepler Modeset (so far) Low frequency modes will made a huge difference
Conclusions • Low-frequency modes will help us to model stars better. • l=3 modes will help us invert frequency differences between a star and its model to determine how good a model is. • SONG will be able to provide both low-frequency modes, as well as l=3 modes ERGO WE NEED SONG