论文标题
系外行星大气检索的挑战
Outstanding Challenges of Exoplanet Atmospheric Retrievals
论文作者
论文摘要
长期以来，光谱检索一直是解释行星遥感观测值的强大工具。柔性，参数化的不可知论模型与反转算法结合，以直接从观察值推断大气特性，并且对物理假设的依赖最少。这种方法最初是用于应用于地球卫星数据的应用以及随后对其他太阳系行星的观察，并已成功地应用于过境，蚀，日食和相位曲线光谱。在这篇综述中，我们就准确检索有关大气化学，温度，云和空间可变性的信息的能力介绍了当前的最新技术；我们讨论了所使用的可用数据和建模策略的局限性；我们建议将来改进的方法。
Spectral retrieval has long been a powerful tool for interpreting planetary remote sensing observations. Flexible, parameterised, agnostic models are coupled with inversion algorithms in order to infer atmospheric properties directly from observations, with minimal reliance on physical assumptions. This approach, originally developed for application to Earth satellite data and subsequently observations of other Solar System planets, has been recently and successfully applied to transit, eclipse and phase curve spectra of transiting exoplanets. In this review, we present the current state-of-the-art in terms of our ability to accurately retrieve information about atmospheric chemistry, temperature, clouds and spatial variability; we discuss the limitations of this, both in the available data and modelling strategies used; and we recommend approaches for future improvement.
