Alfnoor：Ariel目标列表的检索模拟
Alfnoor: A Retrieval Simulation of the Ariel Target List
摘要：
在这项工作中，我们提出了Alfnoor，这是一种专门针对系外行星大气层人口研究进行优化的工具。Alfnoor将最新版本的检索算法TauREx 3与仪器噪声模拟器ArielRad相结合，可以同时检索分析大量的外大气样本。我们将此工具应用于Ariel候选行星列表，并专注于使用Tier-2模式（中等Ariel分辨率）在运输中观察到的氢主导的多云大气。作为第一个实验，我们随机化了痕量气体的丰度--从10 $^{-7}$到10 $^{-2}$ --包括H $_2$ O、CH $_4$、CO、CO $_2$和NH $_3$。这项工作允许估计的检测限制，为阿里尔层2和层3模式时，云的存在。在第二个实验中，我们在化学物质和地球的有效温度之间强加了一个任意的趋势。进行最后一个实验，要求在一定温度下通过平衡化学决定分子丰度。我们的研究结果证明了Ariel Tier-2和Tier-3调查揭示化学和相关行星参数之间趋势的能力。未来的工作将集中在月食数据，比氢重的大气层，并将应用于其他天文台。
英文摘要：
In this work, we present Alfnoor, a dedicated tool optimised for population studies of exoplanet atmospheres. Alfnoor combines the latest version of the retrieval algorithm TauREx 3, with the instrument noise simulator ArielRad and enables the simultaneous retrieval analysis of a large sample of exo-atmospheres. We applied this tool to the Ariel list of planetary candidates and focus on hydrogen dominated, cloudy atmospheres observed in transit with the Tier-2 mode (medium Ariel resolution). As a first experiment, we randomised the abundances - ranging from 10$^{-7}$ to 10$^{-2}$ - of the trace gases, which include H$_2$O, CH$_4$, CO, CO$_2$ and NH$_3$. This exercise allowed to estimate the detection limits for Ariel Tier-2 and Tier-3 modes when clouds are present. In a second experiment, we imposed an arbitrary trend between a chemical species and the effective temperature of the planet. A last experiment was run requiring molecular abundances being dictated by equilibrium chemistry at a certain temperature. Our results demonstrate the ability of Ariel Tier-2 and Tier-3 surveys to reveal trends between the chemistry and associated planetary parameters. Future work will focus on eclipse data, on atmospheres heavier than hydrogen and will be applied also to other observatories.
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