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Information Content of JWST NIRSpec Transmission Spectra of Warm Neptunes

机译：温暖Neptunes JWST NIRSPEC传输谱的信息内容

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Warm Neptunes offer a rich opportunity for understanding exo-atmospheric chemistry. With the upcoming James Webb Space Telescope (JWST), there is a need to elucidate the balance between investments in telescope time versus scientific yield. We use the supervised machine-learning method of the random forest to perform an information content (IC) analysis on a 11-parameter model of transmission spectra from the various NIRSpec modes. The three bluest medium-resolution NIRSpec modes (0.7–1.27 μm, 0.97–1.84 μm, 1.66–3.07 μm) are insensitive to the presence of CO. The reddest medium-resolution mode (2.87–5.10 μm) is sensitive to all of the molecules assumed in our model: CO, CO2, CH4, C2H2, H2O, HCN, and NH3. It competes effectively with the three bluest modes on the information encoded on cloud abundance and particle size. It is also competitive with the low-resolution prism mode (0.6–5.3 μm) on the inference of every parameter except for the temperature and ammonia abundance. We recommend astronomers to use the reddest medium-resolution NIRSpec mode for studying the atmospheric chemistry of 800–1200 K warm Neptunes; its corresponding high-resolution counterpart offers diminishing returns. We compare our findings to previous JWST IC analyses that favor the blue orders and suggest that the reliance on chemical equilibrium could lead to biased outcomes if this assumption does not apply. A simple, pressure-independent diagnostic for identifying chemical disequilibrium is proposed based on measuring the abundances of H2O, CO, and CO2.
机译：温暖的Neptunes为理解外部大气化学提供了丰富的机会。随着即将到来的詹姆斯韦伯太空望远镜（JWST），需要阐明望远镜时间与科学收益率的投资之间的平衡。我们使用随机森林的监督机器学习方法对来自各种NIRSPEC模式的传输光谱的11参数模型进行信息内容（IC）分析。三种蓝色中分辨率Nirspec模式（0.7-1.27μm，0.97-1.84μm，1.66-3.07μm）对CO的存在不敏感。Reddest中分辨率模式（2.87-5.10μm）对所有内容敏感在我们的模型中假设的分子：CO，CO2，CH4，C 2 H 2，H 2 O，HCN和NH3。它有效地竞争了在云丰度和粒度上编码的信息上的三种蓝色模式。除了温度和氨丰度之外，它也具有低分辨率棱镜模式（0.6-5.3μm）的低分辨率棱镜模式（0.6-5.3μm）。我们推荐天文学家使用Reddest中分辨率的NIRSPEC模式研究800-1200 K温暖NEPTUNES的大气化学;其相应的高分辨率对应物提供了递减递减。我们将我们的调查结果与以前的JWST IC分析进行比较，并建议如果这种假设不适用，则依赖化学均衡可能导致偏见的结果。基于测量H2O，CO和CO2的丰度，提出了一种简单的压力无关的诊断，用于鉴定化学不平衡。

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