A Stellar Model-fitting Pipeline for Asteroseismic Data from the Kepler Mission

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.

11 pages, 5 figs, 1 table, minor revisions, ApJ accepted

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• Constraining magnetic-activity modulations in 3~solar-like stars observed by CoRoT and NARVAL
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• Asteroseismic Inference of Subgiant Evolutionary Parameters with Deep Learning
• Detection of l=4 and l=5 modes in 12 years of solar VIRGO-SPM data --- Tests on Kepler observations of 16 Cyg A and B
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• Asteroseismology and Spectropolarimetry of the Exoplanet Host Star $\lambda$ Serpentis
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• Testing abundance-age relations beyond solar analogues with Kepler LEGACY stars
• AMP: A Science-driven Web-based Application for the TeraGrid
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• Stellar dating using chemical clocks and Bayesian inference
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• Bayesian inference of stellar parameters based on 1D stellar models coupled with 3D envelopes
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