破译恒星合唱：apollinaire，一个Python 3模块，用于helio和asteroseismology中的贝叶斯峰值装袋
Deciphering stellar chorus: apollinaire, a Python 3 module for Bayesian peakbagging in helio- and asteroseismology
摘要：
自星震革命以来，有效、可靠地提取恒星振荡模式参数一直是现代恒星物理研究的重点之一。在日震学和星震学领域，这些方法通常被称为峰袋法。我们在本文中介绍了apollinaire模块，这是一个新的Python 3开源马尔可夫链蒙特卡罗（MCMC）框架，专用于峰值装袋。必要的理论框架，以了解MCMC峰值装袋方法磁盘集成的日光和asteroseismic观测进行了广泛的描述。特别是，我们提出的模型，用于估计后验概率函数的峰值装袋框架。然后提供apollinaire模块的描述。我们解释了该模块如何实现恒星背景，p模式的全球模式和个人模式参数提取。考虑到仪器的特殊性，恒星倾角，旋转分裂，和不对称性，该模块允许拟合各种各样的p模式模型适合太阳以及恒星数据分析与不同的仪器。经过验证，通过蒙特卡洛拟合试验的合成数据，该模块是基准比较其输出与其他峰值装袋代码获得的结果。本文分析了GOLF观测的89个一年子系列的PSD。还从Kepler LEGACY样本中选择了六颗星，以展示代码对星震数据的处理能力。我们用apollinaire提取的参数与文献中提出的参数吻合良好，证明了该模块的精度和可靠性。
英文摘要：
Since the asteroseismic revolution, availability of efficient and reliable methods to extract stellar-oscillation mode parameters has been one of the keystone of modern stellar physics. In the helio- and asteroseismology fields, these methods are usually referred as peakbagging. We introduce in this paper the apollinaire module, a new Python 3 open-source Markov Chains Monte Carlo (MCMC) framework dedicated to peakbagging. The theoretical framework necessary to understand MCMC peakbagging methods for disk-integrated helio- and asteroseismic observations are extensively described. In particular, we present the models that are used to estimate the posterior probability function in a peakbagging framework. A description of the apollinaire module is then provided. We explain how the module enables stellar background, p-mode global pattern and individual-mode parameters extraction. By taking into account instrumental specificities, stellar inclination angle, rotational splittings, and asymmetries, the module allows fitting a large variety of p-mode models suited for solar as well as stellar data analysis with different instruments. After having been validated through a Monte Carlo fitting trial on synthetic data, the module is benchmarked by comparing its outputs with results obtained with other peakbagging codes. An analysis of the PSD of 89 one-year subseries of GOLF observations is performed. Six stars are also selected from the Kepler LEGACY sample in order to demonstrate the code abilities on asteroseismic data. The parameters we extract with apollinaire are in good agreement with those presented in the literature and demonstrate the precision and reliability of the module.
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