论文标题
阿里尔任务的检索挑战练习
A retrieval challenge exercise for the Ariel mission
论文作者
论文摘要
Ariel任务将于2029年推出，将为1000个系外行星提供光谱信息，为比较系外行星学提供了前所未有的机会。检索代码 - 参数大气模型和反转算法 - 代表解释Ariel数据的首选工具。确保可以通过这些工具产生可靠且一致的结果是该任务的关键准备步骤。在这里，我们提出了检索挑战的结果。我们使用五个不同的系外行星检索代码来分析相同的合成数据集，并测试a）每个人恢复正确的输入解决方案的能力和b）结果的一致性。我们发现，通常在这五个代码之间有很好的一致性，在大多数情况下，正确的解决方案被恢复。这证明了检索对系外行星的过境光谱的可重复性，即使代码以前没有相互对立。
The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an inversion algorithm - represent the tool of choice for interpreting Ariel data. Ensuring that reliable and consistent results can be produced by these tools is a critical preparatory step for the mission. Here, we present the results of a retrieval challenge. We use five different exoplanet retrieval codes to analyse the same synthetic datasets, and test a) the ability of each to recover the correct input solution and b) the consistency of the results. We find that generally there is very good agreement between the five codes, and in the majority of cases the correct solutions are recovered. This demonstrates the reproducibility of retrievals for transit spectra of exoplanets, even when codes are not previously benchmarked against each other.
