用自动流水线分析类太阳振荡
Analysing solar-like oscillations with an automatic pipeline
摘要：
开普勒任务将在未来几年内提供大量的星震数据，其中数百颗类似太阳的恒星将成为目标。恒星的数量及其观测长度代表着在理解CoRoT和MOST任务已经启动的恒星演化方面向前迈出了一步。到目前为止，观测目标的缓慢节奏允许对每颗恒星进行单独和个性化的分析。在开普勒的调查阶段，这将是不可能的。这就是为什么在AsteroFLAG团队中，我们一直在为开普勒类太阳振荡星开发自动管道的原因。我们的代码首先找到p模式功率存在的频率范围，在拟合背景之后，它寻找模式振幅以及p模式峰的中心频率。因此，在该区域中可以推断出对大分离的良好估计。如果信噪比足够高，则代码通过对功率谱进行全局拟合来获得p模式的特性。在这里，我们将首先描述该管道的一些功能及其在AsteroFLAG合成数据中的应用，以检查代码的有效性。
英文摘要：
Kepler mission will provide a huge amount of asteroseismic data during the next few years, among which hundreds of solar-like stars will be targeted. The amount of stars and their observation length represent a step forward in the comprehension of the stellar evolution that has already been initiated by CoRoT and MOST missions. Up to now, the slow cadence of observed targets allowed an individual and personalized analysis of each star. During the survey phase of Kepler, this will be impossible. This is the reason why, within the AsteroFLAG team, we have been developing automatic pipelines for the Kepler solar-like oscillation stars. Our code starts by finding the frequency-range where p-mode power is present and, after fitting the background, it looks for the mode amplitudes as well as the central frequency of the p-mode hump. A good estimation of the large separation can thus be inferred in this region. If the signal to noise is high enough, the code obtains the characteristics of the p modes by doing a global fitting on the power spectrum. Here, we will first describe a few features of this pipeline and its application to AsteroFLAG synthetic data to check the validity of the code.
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。
