标题： 一种适用于太阳类似振荡的恒星模型拟合流程 显示英文标题

标题： A Stellar Model-fitting Pipeline for Solar-like Oscillations

摘要： 在过去二十年中，日震学彻底改变了我们对太阳内部结构和动力学的理解。 恒星地震学很快将通过提供数百颗类太阳恒星的结构数据，将这种知识置于更广泛的背景下。 已经在地面检测到几颗恒星的类太阳振荡，并且 NASA的开普勒任务即将释放大量恒星脉动数据。 从这些观测中得出可靠的恒星地震信息需要我们的分析方法有显著改进。 我们报告了我们开发恒星模型拟合管道以用于恒星地震数据的初步结果。 我们自动方法的核心是一种使用并行遗传算法的优化方法。 我们描述了管道的细节，并展示了其在太阳作为恒星数据上的初步应用，得到了一个准确再现已知太阳特性的最佳模型。 显示英文摘要

摘要： Over the past two decades, helioseismology has revolutionized our understanding of the interior structure and dynamics of the Sun. Asteroseismology will soon place this knowledge into a broader context by providing structural data for hundreds of Sun-like stars. Solar-like oscillations have already been detected from the ground in several stars, and NASA's Kepler mission is poised to unleash a flood of stellar pulsation data. Deriving reliable asteroseismic information from these observations demands a significant improvement in our analysis methods. We report the initial results of our efforts to develop an objective stellar model-fitting pipeline for asteroseismic data. The cornerstone of our automated approach is an optimization method using a parallel genetic algorithm. We describe the details of the pipeline and we present the initial application to Sun-as-a-star data, yielding an optimal model that accurately reproduces the known solar properties.