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arXiv 0903.0616astro-ph.SRastro-ph.EP
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开普勒任务星震数据的恒星模型拟合管道

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

T. S. Metcalfe, O. L. Creevey, J. Christensen-Dalsgaard

摘要:

在过去的二十年里,日震学彻底改变了我们对太阳内部结构和动力学的理解。天体地震学将很快通过提供数百颗类太阳恒星的结构数据,将这一知识置于更广泛的背景下。已经在几颗恒星的地面上探测到了类似太阳的振荡,美国宇航局的开普勒任务准备释放大量的恒星脉动数据。从这些观测中获得可靠的星震信息需要我们的分析方法有很大的改进。在本文中,我们报告的初步结果,我们努力开发一个客观的恒星模型拟合管道的asteroseisic数据。我们的自动化方法的基石是使用并行遗传算法的优化方法。我们描述了管道的细节,我们提出了太阳作为一个明星的数据的初始应用程序,产生一个最佳的模型,准确地再现已知的太阳能特性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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