SIMBAD references

2011ApJ...741..119M - Astrophys. J., 741, 119 (2011/November-2)

Granulation in red giants: observations by the Kepler mission and three-dimensional convection simulations.

MATHUR S., HEKKER S., TRAMPEDACH R., BALLOT J., KALLINGER T., BUZASI D., GARCIA R.A., HUBER D., JIMENEZ A., MOSSER B., BEDDING T.R., ELSWORTH Y., REGULO C., STELLO D., CHAPLIN W.J., DE RIDDER J., HALE S.J., KINEMUCHI K., KJELDSEN H., MULLALLY F. and THOMPSON S.E.

Abstract (from CDS):

The granulation pattern that we observe on the surface of the Sun is due to hot plasma rising to the photosphere where it cools down and descends back into the interior at the edges of granules. This is the visible manifestation of convection taking place in the outer part of the solar convection zone. Because red giants have deeper convection zones than the Sun, we cannot a priori assume that their granulation is a scaled version of solar granulation. Until now, neither observations nor one-dimensional analytical convection models could put constraints on granulation in red giants. With asteroseismology, this study can now be performed. We analyze ∼1000 red giants that have been observed by Kepler during 13 months. We fit the power spectra with Harvey-like profiles to retrieve the characteristics of the granulation (timescale τgran and power Pgran). We search for a correlation between these parameters and the global acoustic-mode parameter (the position of maximum power, νmax) as well as with stellar parameters (mass, radius, surface gravity (log g), and effective temperature (Teff)). We show that τeff∝ν–0.89 max and Pgran∝ν–1.90max, which is consistent with the theoretical predictions. We find that the granulation timescales of stars that belong to the red clump have similar values while the timescales of stars in the red giant branch are spread in a wider range. Finally, we show that realistic three-dimensional simulations of the surface convection in stars, spanning the (Teff, log g) range of our sample of red giants, match the Kepler observations well in terms of trends.

Abstract Copyright:

Journal keyword(s): methods: data analysis - stars: late-type

Simbad objects: 6

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