论文标题
使用自旋时期来限制潮汐质量因子
Constraining Tidal Quality Factor using Spin Period in Eclipsing Binaries
论文作者
论文摘要
在潮汐影响下二进制对象的演变对系统的预期观察性质产生了巨大影响。随着发现大量的近距离热木星系统,并从开普勒和苔丝等任务中远程黯然失色,必须了解潮汐对其形成和观察到的特性的影响程度。在二进制系统的情况下,取决于恒星和轨道之间的角动量交换,有效的潮汐耗散可以导致恒星向上或旋转和/或自旋轨道同步。我们将开普勒任务中的黯淡二进制系统与文献中可用的恒星和轨道参数相结合,以创建适合分析潮汐耗散的41个黯淡的二进制文件的目录。从经验上讲,使用修改的潮汐质量因子($ q _ {\ star}^{'} $)对潮汐耗散的效率进行参数化。我们在$ q _ {\ star}^{'} $上使用观察到的二进制二进制系统中的主星的旋转周期找到了约束。我们在潮汐,恒星进化以及恒星角动量对磁风的综合影响下计算二进制系统的详细演变,并执行马尔可夫链蒙特卡洛模拟,以说明观察到的数据中的不确定性。我们的分析表明,$ \ log_ {10} {q^{'} _ {\ star}} = 7.818 \ pm0.035 $可以在我们示例中几乎所有系统中重现观察到的主星旋转。
Evolution of binary objects under the influence of tides drastically affects the expected observational properties of the system. With the discovery of a large number of close-in hot Jupiter systems and eclipsing binaries from missions such as Kepler and TESS, it has become imperative to understand the extent of tidal influence on their formation and observed properties. In the case of binary systems, an efficient tidal dissipation can lead to either spin up or spin down of the stars and/or spin-orbit synchronization, depending upon the exchange of angular momentum between the star and the orbit. We combine the eclipsing binary systems from the Kepler mission with stellar and orbital parameters available in the literature to create a catalog of 41 eclipsing binaries suitable for analysis of tidal dissipation. Empirically, the efficiency of tidal dissipation is parameterized using a modified Tidal Quality Factor($Q_{\star}^{'}$). We find constraints on $Q_{\star}^{'}$ using the observed rotation period of the primary star in the eclipsing binary systems. We calculate detailed evolutions of binary systems under the combined influence of tides, stellar evolution, and loss of stellar angular momentum to magnetic winds, and perform Markov Chain Monte Carlo simulations to account for the uncertainties in the observed data. Our analysis shows that $\log_{10}{Q^{'}_{\star}}=7.818\pm0.035$ can reproduce the observed primary star spin in almost all systems in our sample.