论文标题

对大气检索准确性的行星质量不确定性的分析

Analysis of the planetary mass uncertainties on the accuracy of atmospherical retrieval

论文作者

Di Maio, C., Changeat, Q., Benatti, S., Micela, G.

论文摘要

表征系外行星大气的性质取决于几个相互联系的参数,这使得很难独立确定它们。行星质量在确定大气的规模高度方面发挥了作用,与气体平均分子量的贡献相似。我们研究了行星质量知识在光谱检索中的相关性,这些案例确定了在ESA M4 Ariel任务的背景下,需要清晰或多云,多云,原发性或次要气氛以及相关精度以及相关的精度。我们使用Taurex模拟了Ariel任务参考样本的代表目标的Ariel传输光谱,假设情况不同:热木星的原始浑浊大气和热的海王星,以及也表现出云的超级地球的次要气氛。我们提取了有关大气的各种特性的信息。我们还测试了信噪比如何影响不同波长范围的大气检索。我们准确地检索了原始的大气组成,而不是与清晰大气的质量不确定性,而我们发现高海拔云的不确定性增加了。我们强调了信噪比在光谱的瑞利散射区域中的重要性。对于次要大气案例,即使在存在云的情况下,质量不确定性不超过50%就足以检索大气参数。我们的分析表明,即使在最坏的情况下,质量精度水平为50%足以产生可靠的检索,而大气检索的质量也足以产生任何行星质量,也可能导致云朵的原发性大气以及次要大气中的偏见。

Characterising the properties of exoplanet atmospheres relies on several interconnected parameters, which makes it difficult to determine them independently. Planetary mass plays a role in determining the scale height of atmospheres, similarly to the contribution from the average molecular weight of the gas. We investigate the relevance of planetary mass knowledge in spectral retrievals, identifying cases where mass measurements are needed for clear or cloudy and primary or secondary atmospheres, along with the relevant precision, in the context of the ESA M4 Ariel Mission. We used TauREx to simulate the Ariel transmission spectra of representative targets of the Ariel mission reference sample, assuming different scenarios: a primordial cloudy atmosphere of a hot Jupiter and a hot Neptune, as well as the secondary atmosphere of a super-Earth that also exhibits a cloud presence. We extracted information on the various properties of the atmospheres for the cases of unknown mass or mass with different uncertainties. We also tested how the signal-to-noise ratio impacts atmospheric retrieval for different wavelength ranges. We accurately retrieved the primordial atmospheric composition independently from mass uncertainties for clear atmospheres, while we found that the uncertainties increased for high altitude clouds. We highlight the importance of the signal-to-noise ratio in the Rayleigh scattering region of the spectrum. For the secondary atmosphere cases, a mass uncertainty no larger than 50% is sufficient to retrieve the atmospheric parameters, even in the presence of clouds. Our analysis suggests that even in the worst-case scenario, a 50% mass precision level is enough for producing reliable retrievals, while an atmospheric retrieval without any knowledge of a planetary mass could lead to biases in cloudy primary atmospheres as well as in secondary atmospheres.

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