论文标题
迅速旋转的红色巨人的表面磁性:单恒星与近距离二进制恒星
Surface magnetism of rapidly rotating red giants: single versus close binary stars
论文作者
论文摘要
根据Dynamo理论,具有对流信封的恒星有效地产生了表面磁场,当旋转周期短于对流周转时间时,它们以星形,faculae,flares的形式表现为磁性活动。大多数红色巨人在扩展时经历了明显的旋转,旋转缓慢,没有斑点。但是,基于NASA开普勒任务观察到的大约4500个红色巨人的样本,先前的一项研究表明,大约8%的显示斑点,包括约15%属于近距离二进制系统。在这里,我们阐明了一个令人困惑的事实:对于少于80天的旋转期,属于近距离二进制系统的红色巨人显示出比具有相似旋转周期和物理特性的单个红色巨人大的数量级的光度调制。我们调查二进制功能是在潮汐锁定系统时会导致较大的磁场,还是单个二进制恒星和近距离二进制恒星上的不同斑点分布可以解释这一事实。为此,由于Lamost的调查,我们在以前的工作中研究的4465颗恒星的CAII H&K线中的色球层发射。我们表明,与单恒星相比,具有自旋轨道共振的近二元构型中的红色巨人表现出明显更大的色球发射,这表明潮汐锁定在固定的旋转周期内导致更大的磁场。除了带来有趣的新观察物来研究二进制系统的演变外,该结果还可以用来根据机器学习来区分自动管道中的二进制红色巨人。
According to dynamo theory, stars with convective envelopes efficiently generate surface magnetic fields, which manifest as magnetic activity in the form of starspots, faculae, flares, when their rotation period is shorter than their convective turnover time. Most red giants, having undergone significant spin down while expanding, have slow rotation and no spots. However, based on a sample of about 4500 red giants observed by the NASA Kepler mission, a previous study showed that about 8 % display spots, including about 15 % that belong to close binary systems. Here, we shed light on a puzzling fact: for rotation periods less than 80 days, a red giant that belongs to a close binary system displays a photometric modulation about an order of magnitude larger than that of a single red giant with similar rotational period and physical properties. We investigate whether binarity leads to larger magnetic fields when tides lock systems, or if a different spot distribution on single versus close binary stars can explain this fact. For this, we measure the chromospheric emission in the CaII H & K lines of 3130 of the 4465 stars studied in a previous work thanks to the LAMOST survey. We show that red giants in a close-binary configuration with spin-orbit resonance display significantly larger chromospheric emission than single stars, suggesting that tidal locking leads to larger magnetic fields at a fixed rotational period. Beyond bringing interesting new observables to study the evolution of binary systems, this result could be used to distinguish single versus binary red giants in automatic pipelines based on machine learning.