论文标题

大气检索生命和其他未来空间任务:减轻系统效应的重要性

Atmospheric retrievals for LIFE and other future space missions: the importance of mitigating systematic effects

论文作者

Alei, Eleonora, Konrad, Björn S., Mollière, Paul, Quanz, Sascha P., Angerhausen, Daniel, Ranganathan, Mohanakrishna, collaboration, the LIFE

论文摘要

大气检索研究对于确定未来发电任务的科学要求至关重要,例如外部球星的大干涉仪(Life)。异质吸收横截面的使用可能是在检索中系统效应的原因,这可能会偏向正确的大气表征。在这一贡献中,我们量化了线列表出处,扩展系数和线翼截止的影响,从观察者那里绕着10 pc的太阳恒星绕着地球双球星球进行了临界。通过改变允许使用贝叶斯检索框架的不透明度表,我们在相同的输入频谱上进行了四个不同的检索。我们发现,不透明度表引入的系统学可能会偏向于表面水平上大气压力的正确估计,并准确地检索了大气中某些物种的丰度(例如CO $ _2 $ _2 $和N $ _2 $ O)。我们认为,线机翼切断的差异可能是错误的主要来源。我们强调了需要更多的实验室和建模工作,以及主要辐射转移模型和贝叶斯检索框架的模型间比较。这在生活和未来一代任务的背景下尤其重要,以确定社区共同合作以准备分析即将到来的观察结果的问题和关键点。

Atmospheric retrieval studies are essential to determine the science requirements for future generation missions, such as the Large Interferometer for Exoplanets (LIFE). The use of heterogeneous absorption cross-sections might be the cause of systematic effects in retrievals, which could bias a correct characterization of the atmosphere. In this contribution we quantified the impact of differences in line list provenance, broadening coefficients, and line wing cut-offs in the retrieval of an Earth twin exoplanet orbiting a Sun-like star at 10 pc from the observer, as it would be observed with LIFE. We ran four different retrievals on the same input spectrum, by varying the opacity tables that the Bayesian retrieval framework was allowed to use. We found that the systematics introduced by the opacity tables could bias the correct estimation of the atmospheric pressure at the surface level, as well as an accurate retrieval of the abundance of some species in the atmosphere (such as CO$_2$ and N$_2$O). We argue that differences in the line wing cut-off might be the major source of errors. We highlight the need for more laboratory and modeling efforts, as well as inter-model comparisons of the main radiative transfer models and Bayesian retrieval frameworks. This is especially relevant in the context of LIFE and future generation missions, to identify issues and critical points for the community to jointly work together to prepare for the analysis of the upcoming observations.

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