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Title:
A Stellar Model-fitting Pipeline for Asteroseismic Data from the Kepler Mission
Authors:
Metcalfe, T. S.; Creevey, O. L.; Christensen-Dalsgaard, J.
Affiliation:
AA(High Altitude Observatory and Scientific Computing Division, NCAR, P.O. Box 3000, Boulder, CO 80307, USA ), AB(Instituto de Astrofísica de Canarias, 38205, La Laguna, Tenerife, Spain ; Newkirk Graduate Fellow, High Altitude Observatory, NCAR, P.O. Box 3000, Boulder, CO 80307, USA ; ), AC(Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark ; Affiliate Scientist, High Altitude Observatory, NCAR, P.O. Box 3000, Boulder, CO 80307, USA; )
Publication:
The Astrophysical Journal, Volume 699, Issue 1, pp. 373-382 (2009). (ApJ Homepage)
Publication Date:
07/2009
Origin:
IOP
ApJ Keywords:
methods: numerical, stars: interiors, stars: oscillations
DOI:
10.1088/0004-637X/699/1/373
Bibliographic Code:
2009ApJ...699..373M

Abstract

Over the past two decades, helioseismology has revolutionized our understanding of the interior structure and dynamics of the Sun. Asteroseismology will soon place this knowledge into a broader context by providing structural data for hundreds of Sun-like stars. Solar-like oscillations have already been detected from the ground in several stars, and NASA's Kepler mission is poised to unleash a flood of stellar pulsation data. Deriving reliable asteroseismic information from these observations demands a significant improvement in our analysis methods. In this paper, we report the initial results of our efforts to develop an objective stellar model-fitting pipeline for asteroseismic data. The cornerstone of our automated approach is an optimization method using a parallel genetic algorithm. We describe the details of the pipeline and we present the initial application to Sun-as-a-star data, yielding an optimal model that accurately reproduces the known solar properties.
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