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arXiv 0910.2764astro-ph.SR
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太阳型恒星开普勒观测振动参数的自动提取

Automated extraction of oscillation parameters for Kepler observations of solar-type stars

Daniel Huber, Dennis Stello, Timothy R. Bedding, William J. Chaplin, Torben Arentoft, Pierre-Olivier Quirion, Hans Kjeldsen

摘要:

最近发射的开普勒太空望远镜为系统研究大量类太阳恒星的振荡提供了机会。在asteroFLAG项目的框架内,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,例如最大功率频率(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寻找过剩功率,并使用缩放关系来估计粒化时间尺度作为背景建模的初始条件。通过大量的模拟,我们得到了可靠的不确定性nu_max和Delta_nu。我们已经在大约2000颗V~7-12星等的模拟开普勒星上测试了管道,并且能够正确地确定大约一半样本的nu_max和Delta_nu。对于大约20%的情况,返回的大频率间隔足够精确,可以确定恒星半径,精度为1%。我们的结论是,这里提出的方法是一个很有前途的方法来处理大量的数据预期从开普勒。

英文摘要:

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.

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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