论文标题
外部大气表征中即将来临的不透明度挑战
The Impending Opacity Challenge in Exoplanet Atmospheric Characterization
论文作者
论文摘要
随着新一代的观察者在本十年的网上上线，需要重新发明外球星氛围的过程。目前，当前主要在乐器方面，表征瓶颈很快将支持用于将光谱转化为大气特性的模型。我们出色和大气模型所产生的局限性已经得到强调。 Here, we show that the current limitations of the opacity models used to decode exoplanet spectra propagate into an accuracy wall at ~0.5-1.0 dex (i.e., 3 to 10x) on the atmospheric properties, which is an order of magnitude above the precision targeted by JWST Cycle 1 programs and needed for, e.g., meaningful C/O-ratio constraints and biosignatures identification.我们使用九种不同的不透明度模型进行灵敏度分析，发现大多数检索产生和谐拟合，因为补偿以> 5 $σ$偏见的形式上的衍生的大气参数偏向于上述精度壁上的转换。我们建议一种两层方法来减轻涉及新检索程序的问题，并指导了不透明度数据，标准化和最佳传播。
With a new generation of observatories coming online this decade, the process of characterizing exoplanet atmospheres will need to be reinvented. Currently mostly on the instrumental side, characterization bottlenecks will soon stand by the models used to translate spectra into atmospheric properties. Limitations stemming from our stellar and atmospheric models have already been highlighted. Here, we show that the current limitations of the opacity models used to decode exoplanet spectra propagate into an accuracy wall at ~0.5-1.0 dex (i.e., 3 to 10x) on the atmospheric properties, which is an order of magnitude above the precision targeted by JWST Cycle 1 programs and needed for, e.g., meaningful C/O-ratio constraints and biosignatures identification. We perform a sensitivity analysis using nine different opacity models and find that most of the retrievals produce harmonious fits owing to compensations in the form of >5$σ$ biases on the derived atmospheric parameters translating in the aforementioned accuracy wall. We suggest a two-tier approach to alleviate this problem involving a new retrieval procedure and guided improvements in opacity data, their standardization and optimal dissemination.
