Aura-3D: A Three-dimensional Atmospheric Retrieval Framework for Exoplanet Transmission Spectra

Aura-3D: A Three-dimensional Atmospheric Retrieval Framework for Exoplanet Transmission Spectra
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Aura-3D:系外行星传输光谱的三维大气反演框架

DOI:
10.3847/1538-4357/ac7c09
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发表时间:
2022
期刊:
The Astrophysical Journal
影响因子:
--
通讯作者:
N. Madhusudhan
N. Madhusudhan
中科院分区:
--
文献类型:
--
作者:
M. C. Nixon;N. Madhusudhan

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大气检索的系外行星传输光谱允许的昼夜终结者区域的组成和结构的限制。在过去,这种检索通常假设一维(1D)的温度结构,足以解释现存的观测。然而,越来越多的数据质量预期从系外行星光谱与詹姆斯韦伯太空望远镜(JWST)的动机考虑多维大气检索。我们提出了光环-3D,系外行星传输光谱的三维大气检索框架。Aura-3D包括一个前向模型,该模型能够快速计算给定大气结构的三维几何结构中的透射光谱,因此可以用于大气反演以及计算大气环流模型(GCM)的光谱。为了有效地探索可能的三维温度结构的空间检索,我们开发了一个参数化的三维压力-温度分布,它可以准确地表示方位角平均温度结构的热木星GCM的范围。我们应用我们的检索框架模拟JWST观测热木星透射光谱,获得准确的估计昼夜温度变化的整个终结者以及化学物种的丰度。我们展示了一个例子的模型热木星透射光谱,传统的一维检索JWST质量的数据返回有偏见的丰度估计,而检索,包括昼夜温度梯度可以准确地检索到真正的丰度。我们的正演模型也有能力,包括不均匀的化学以及可变的云/雾。这个新的检索框架打开了领域,详细的多维大气特性使用传输光谱的系外行星在JWST时代。
Atmospheric retrievals of exoplanet transmission spectra allow constraints on the composition and structure of the day–night terminator region. Such retrievals in the past have typically assumed one-dimensional (1D) temperature structures which were adequate to explain extant observations. However, the increasing data quality expected from exoplanet spectroscopy with the James Webb Space Telescope (JWST) motivates considerations of multidimensional atmospheric retrievals. We present Aura-3D, a three-dimensional atmospheric retrieval framework for exoplanet transmission spectra. Aura-3D includes a forward model that enables rapid computation of transmission spectra in 3D geometry for a given atmospheric structure and can, therefore, be used for atmospheric retrievals as well as for computing spectra from general circulation models (GCMs). In order to efficiently explore the space of possible 3D temperature structures in retrievals, we develop a parametric 3D pressure–temperature profile which can accurately represent azimuthally averaged temperature structures of a range of hot Jupiter GCMs. We apply our retrieval framework to simulated JWST observations of hot Jupiter transmission spectra, obtaining accurate estimates of the day–night temperature variation across the terminator as well as the abundances of chemical species. We demonstrate an example of a model hot Jupiter transmission spectrum for which a traditional 1D retrieval of JWST-quality data returns biased abundance estimates, whereas a retrieval including a day–night temperature gradient can accurately retrieve the true abundances. Our forward model also has the capability to include inhomogeneous chemistry as well as variable clouds/hazes. This new retrieval framework opens the field to detailed multidimensional atmospheric characterization using transmission spectra of exoplanets in the JWST era.
DOI: 10.1093/mnras/sty2544
发表时间: 2018-10
影响因子: 4.8
作者:
Arazi Pinhas;N. Madhusudhan;S. Gandhi;R. MacDonald
通讯作者: Arazi Pinhas;N. Madhusudhan;S. Gandhi;R. MacDonald
DOI: 10.1007/s10686-018-9598-x
发表时间: 2018-09
影响因子: 3
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DOI: 10.1093/mnras/stt2011
发表时间: 2014-01-01
影响因子: 4.8
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DOI: 10.1093/mnras/stx804
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影响因子: 4.8
作者:
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影响因子: 4.8
作者:
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