Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-27T00:45:30.567Z Has data issue: false hasContentIssue false

Application of convection simulations to oscillation excitation and local helioseismology

Published online by Cambridge University Press:  01 August 2006

Robert F. Stein
Affiliation:
Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA email: [email protected]
David Benson
Affiliation:
Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA email: [email protected]
Dali Georgobiani
Affiliation:
Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA email: [email protected]
Åke Nordlund
Affiliation:
Niels Bohr Institute, Copenhagen University, Juliane Maries Vej 30, DK–2100, København Ø, DK email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Excitation of f- and p- modes by Reynolds stresses and entropy fluctuations is reviewed. Approximations made to allow semi-analytic analysis are discussed. The spectrum of solar convection is presented and shown to NOT be separable into independent spatial and temporal factors. An appropriate fitting formula is presented.

Time-distance local helioseismology has been analyzed using numerical simulations. One approach is simulation of solar surface convection on supergranule scales (48 Mm wide by 20 Mm deep). A surface shear layer develops. There is a continuous increase in the horizontal scale of the convective motions with increasing depth. Some small granular scale downflows at the surface are swept sideways by diverging larger scale upflows from below to merge into stronger downdrafts in these larger downflow boundaries. Elsewhere, some granular downflows have to beat their way against the upflows from below are halted. These simulations have a rich spectrum of f- and p- modes that turn within the computational domain. Cross-correlations between each surface location and each location below the surface reveals the wave propagation pattern from the surface. Waves at the surface that propagate into the interior, spread horizontally and are refracted back toward the surface. Time-distance diagrams have been constructed and inverted to determine the subsurface flows, which can then be compared with the average flows in the simulation.

A second approach calculates the propagation of linearized waves through a fixed, but non-uniform, background state. Some examples of such analysis are presented.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2007

References

Georgobiani, D., Zhao, J., Kosovichev, A., Benson, D., Stein, R. F., & Nordlund, Å. 2007, ApJ (in press)Google Scholar
Goldreich, P., Murray, N., & Kumar, P. 1994, ApJ 424, 466CrossRefGoogle Scholar
Jefferies, S. M., McIntosh, S. W., Armstrong, J. D., Bogdan, T. J., Cacciani, A., & Fleck, B. 2006, ApJl 648, L151CrossRefGoogle Scholar
Nordlund, A. 1982, A. & A. 107, 1Google Scholar
Nordlund, Å. & Stein, R. F. 2001, ApJ 546, 576CrossRefGoogle Scholar
Samadi, R. & Goupil, M.-J. 2001, A & A 370, 136CrossRefGoogle Scholar
Samadi, R., Goupil, M.-J., & Lebreton, Y. 2001, A & A 370, 147CrossRefGoogle Scholar
Samadi, R., Nordlund, Å., Stein, R. F., Goupil, M. J., & Roxburgh, I. 2003, A. & A. 404, 1129CrossRefGoogle Scholar
Schunker, H. & Cally, P. S. 2006, MNRAS 1003Google Scholar
Stein, R., Georgobiani, D., Trampedach, R., Ludwig, H.-G., & Nordlund, Å. 2004, Sol. Phys. 220, 229CrossRefGoogle Scholar
Stein, R. F. & Nordlund, Å. 2001, ApJ 546, 585CrossRefGoogle Scholar
Stein, R. F. & Nordlund, Å. 2003, in Hubeny, I., Mihalas, D., Werner, K. (eds.), ASP Conf. Ser. 288: Stellar Atmosphere Modeling, 519Google Scholar