使用贝叶斯多模态的快速自动振荡频率提取
Fast and automated oscillation frequency extraction using Bayesian multi-modality
摘要：
自从CoRoT、NASA开普勒和K2出现以来，被归类为低质量和中等质量恒星的数量随着时间的推移而迅速增加，现在占了几个$10^4$目标。随着最近NASA TESS太空任务的发射，我们已经确认进入了对振荡恒星进行全天观测的时代。TESS目前正在发布高质量的数据集，这些数据集已经允许对某些恒星进行27天的单次拍摄来表征和识别各个振荡模式。当欧空局的PLATO在未来十年内投入使用时，我们将面临对数十万颗恒星的观测，在这些恒星中，识别单个振荡模式将是可能的。然而，估计振荡模式的各个频率、振幅和寿命并不是一件容易的事情。这是因为类太阳振荡，特别是它们的演化版本，红巨星分支（RGB）振荡，可以从一个恒星到另一个恒星显着变化，这取决于其特定的演化阶段，质量，有效温度，金属丰度，以及其旋转和磁性水平。在这个角度来看，我将提出一种新的，快速的，强大的方式来获得个人的振荡模式频率的基础上获得的结果与\diamonds。我将表明，用这种新的方法获得的振荡频率可以达到约0.1%的精度和约0.01%的精度相比，已发表的文献值的RGB星KIC~12008916。
英文摘要：
Since the advent of CoRoT, and NASA Kepler and K2, the number of low- and intermediate-mass stars classified as pulsators has increased very rapidly with time, now accounting for several $10^4$ targets. With the recent launch of NASA TESS space mission, we have confirmed our entrance to the era of all-sky observations of oscillating stars. TESS is currently releasing good quality datasets that already allow for the characterization and identification of individual oscillation modes even from single 27-days shots on some stars. When ESA PLATO will become operative by the next decade, we will face the observation of several more hundred thousands stars where identifying individual oscillation modes will be possible. However, estimating the individual frequency, amplitude, and lifetime of the oscillation modes is not an easy task. This is because solar-like oscillations and especially their evolved version, the red giant branch (RGB) oscillations, can vary significantly from one star to another depending on its specific stage of the evolution, mass, effective temperature, metallicity, as well as on its level of rotation and magnetism. In this perspective I will present a novel, fast, and powerful way to derive individual oscillation mode frequencies by building on previous results obtained with \diamonds. I will show that the oscillation frequencies obtained with this new approach can reach precisions of about 0.1 % and accuracies of about 0.01 % when compared to published literature values for the RGB star KIC~12008916.
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。
