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.
@article{arxiv.0903.0616,
title = {A Stellar Model-fitting Pipeline for Asteroseismic Data from the Kepler Mission},
author = {T. S. Metcalfe and O. L. Creevey and J. Christensen-Dalsgaard},
journal= {arXiv preprint arXiv:0903.0616},
year = {2009}
}
Comments
11 pages, 5 figs, 1 table, minor revisions, ApJ accepted