Automated extraction of oscillation parameters for Kepler observations of solar-type stars
Automated extraction of oscillation parameters for Kepler observations of solar-type stars
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DOI：
10.1553/cia160s74
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发表时间：
2009-10
期刊：
影响因子：
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通讯作者：
D. Huber;D. Stello;T. Bedding;W. Chaplin;T. Arentoft;P. Quirion;H. Kjeldsen
中科院分区：
文献类型：
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作者：
D. Huber;D. Stello;T. Bedding;W. Chaplin;T. Arentoft;P. Quirion;H. Kjeldsen
最近发射的开普勒太空望远镜为系统地研究大量类太阳恒星的振荡提供了机会。在asteroFLAG项目的框架下，我们开发了一个自动化管道来估计大量时间序列的全局振荡参数，如最大功率频率（nu_max）和大频率间隔（Delta_nu）。我们提出了一种基于自相关函数的有效方法来发现多余功率，并使用缩放关系来估计造粒时间尺度作为背景建模的初始条件。我们通过广泛的模拟得到了nu_max和Delta_nu的可靠不确定性。我们在大约2000颗星等为V~7 ~ 12的模拟开普勒恒星上测试了该管道，并能够正确地确定大约一半样本的nu_max和Delta_nu。对于大约20%，返回的大频率间隔足以精确到1%的精度来确定恒星半径。我们得出的结论是，这里提出的方法是一种有前途的方法，可以处理来自开普勒的大量数据。
The recent launch of the Kepler space telescope brings the opportunity to study oscillations systematically in large numbers of solar-like stars. In the framework of the asteroFLAG project, we have developed an automated pipeline to estimate global oscillation parameters, such as the frequency of maximum power (nu_max) and the large frequency spacing (Delta_nu), for a large number of time series. We present an effective method based on the autocorrelation function to find excess power and use a scaling relation to estimate granulation timescales as initial conditions for background modelling. We derive reliable uncertainties for nu_max and Delta_nu through extensive simulations. We have tested the pipeline on about 2000 simulated Kepler stars with magnitudes of V~7-12 and were able to correctly determine nu_max and Delta_nu for about half of the sample. For about 20%, the returned large frequency spacing is accurate enough to determine stellar radii to a 1% precision. We conclude that the methods presented here are a promising approach to process the large amount of data expected from Kepler.