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Stellar cycles from photometric data: CoRoT stars

机译:来自光度学数据的恒星周期:CoRoT星

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Context. Until a few years ago, the amplitude variation in the photometric data had been explored to a limited extent mainly because of time resolution and photometric sensitivity limitations. This investigation is now possible thanks to the Kepler and CoRoT databases which provide a unique set of data for studying the nature of stellar variability cycles. Aims. The present study characterizes the amplitude variation in a sample of main-sequence stars with light curves collected using CoRoT exofield CCDs. Methods. We analyze potential stellar activity cycles by studying the variability amplitude over small boxes. The cycle periods and amplitudes were computed based on the Lomb-Scargle periodogram, harmonic fits, and visual inspection. As a first application of our approach, we considered the photometric data for 16 CoRoT FGK main sequence stars, revisited during the IRa01, LRa01 and LRa06 CoRoT runs. Results. The 16 CoRoT stars appear to follow the empirical relations between activity cycle periods (Pcyc) and the rotation period (Prot) found by previous works. In addition to the so-called A (active) and I (inactive) sequences previously identified, there is a possible third sequence, here named S (short-cycles) sequence. However, recovery fractions estimated from simulations suggest that only a half of our sample has confident cycle measurements. Therefore, more study is needed to verify our results, and Kepler data will clearly be useful for such a study. Overall, our procedure provides a key tool for exploring the CoRoT and Kepler databases to identify and characterize stellar cycle variability.
机译:上下文。直到几年前,由于时间分辨率和光度灵敏度的限制,对光度数据的幅度变化进行了有限的研究。开普勒(Kepler)和CoRoT数据库提供了一组独特的数据,用于研究恒星变异周期的性质,现在可以进行这项研究。目的本研究利用CoRoT外场CCD收集的光曲线来表征主序星样本中的振幅变化。方法。我们通过研究小盒子上的变异幅度来分析潜在的恒星活动周期。根据Lomb-Scargle周期图,谐波拟合和外观检查计算出周期和振幅。作为我们方法的第一个应用,我们考虑了在IRa01,LRa01和LRa06 CoRoT运行期间重新访问的16个CoRoT FGK主序列星的光度数据。结果。这16个CoRoT恒星似乎遵循活动周期周期(Pcyc)和先前工作发现的自转周期(Prot)之间的经验关系。除了先前确定的所谓的A(活动)和I(无效)序列外,还有可能的第三序列,此处称为S(短周期)序列。但是,根据模拟估算的回收率表明,我们样本中只有一半具有可信的循环测量结果。因此,需要更多的研究来验证我们的结果,开普勒数据显然将对此类研究有用。总体而言,我们的程序为探索CoRoT和开普勒数据库提供了关键工具,以识别和表征恒星周期的变异性。

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