论文标题
使用热木星的三维大气模型,高分辨率发射光谱的检测显着增加
A Significant Increase in Detection of High-Resolution Emission Spectra Using a Three-Dimensional Atmospheric Model of a Hot Jupiter
论文作者
论文摘要
高分辨率光谱学为新的,详细研究系外行星大气开辟了道路。有证据表明,该技术可以对这些行星的复杂的三维(3D)大气结构敏感。在这项工作中,我们对热木星HD 209458B的高分辨率(r〜100,000)CRIRES/VLT发射光谱进行了互相关分析。我们从行星的3D大气循环模型中生成模板发射光谱,该模型考虑了温度结构和大气运动 - - 风和行星旋转 - 由一维模型计算出的光谱错过。在此首次分析中,我们发现,使用从3D模型生成的模板光谱会产生地球信号的更重要的检测(6.9 Sigma),而不是我们测试的数百个一维模型中的任何一个(最多5.1 Sigma)。我们恢复了行星的热发射,其轨道运动以及CO在其大气中的存在,其意义很高。此外,我们分析了这种改进的检测中3D温度和化学结构的相对影响,包括CO和H2O的贡献,以及来自风和旋转的大气多普勒特征的作用。这项工作表明,热木星的3D大气结构在高分辨率下对其发射光谱具有一阶影响,并激励在高分辨率光谱分析中使用多维大气模型。
High resolution spectroscopy has opened the way for new, detailed study of exoplanet atmospheres. There is evidence that this technique can be sensitive to the complex, three-dimensional (3D) atmospheric structure of these planets. In this work, we perform cross correlation analysis on high resolution (R~100,000) CRIRES/VLT emission spectra of the Hot Jupiter HD 209458b. We generate template emission spectra from a 3D atmospheric circulation model of the planet, accounting for temperature structure and atmospheric motions---winds and planetary rotation---missed by spectra calculated from one-dimensional models. In this first-of-its-kind analysis, we find that using template spectra generated from a 3D model produces a more significant detection (6.9 sigma) of the planet's signal than any of the hundreds of one-dimensional models we tested (maximum of 5.1 sigma). We recover the planet's thermal emission, its orbital motion, and the presence of CO in its atmosphere at high significance. Additionally, we analyzed the relative influences of 3D temperature and chemical structures in this improved detection, including the contributions from CO and H2O, as well as the role of atmospheric Doppler signatures from winds and rotation. This work shows that the Hot Jupiter's 3D atmospheric structure has a first-order influence on its emission spectra at high resolution and motivates the use of multi-dimensional atmospheric models in high-resolution spectral analysis.