Detection of CO absorption in the atmosphere of the hot Jupiter HD 189733b
Detection of CO absorption in the atmosphere of the hot Jupiter HD 189733b
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DOI：
10.1051/epjconf/20134711003
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
F. Rodler;M. Kurster;J. Barnes
中科院分区：
文献类型：
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作者：
F. Rodler;M. Kurster;J. Barnes
通过使用凯克II近红外光谱仪（NIRSPEC）进行的时间序列光谱观测，我们研究了近轨道凌日太阳系外巨行星HD 189733 b的大气层。特别是，我们打算测量由一氧化碳（CO）产生的2.3微米左右的密集吸收线森林。预计CO存在于行星大气中，尽管尚未声称检测到这种分子。为了确定最适合的数据分析方法，我们创建了行星大气的人造光谱，并通过文献中的三种方法进行分析，即去卷积方法、通过卡方最小化进行的数据建模和互相关。结果，我们发现互相关和chi^2数据建模系统地显示出比反褶积方法更高的灵敏度。我们分析了NIRSPEC数据的互相关和检测CO吸收在HD 189733b的日侧光谱在已知的行星径向速度半振幅与3.4西格玛的信心。
With time-series spectroscopic observations taken with the Near Infrared Spectrometer (NIRSPEC) at Keck II, we investigated the atmosphere of the close orbiting transiting extrasolar giant planet, HD 189733b. In particular, we intended to measure the dense absorption line forest around 2.3 micron, which is produced by carbon monoxide (CO). CO is expected to be present in the planetary atmosphere, although no detection of this molecule has been claimed yet. To identify the best suited data analysis method, we created artificial spectra of planetary atmospheres and analyzed them by three approaches found in the literature, the deconvolution method, data modeling via chi^2-minimization, and cross-correlation. As a result, we found that cross-correlation and chi^2-data modeling show systematically a higher sensitivity than the deconvolution method. We analyzed the NIRSPEC data with cross-correlation and detect CO absorption in the day-side spectrum of HD 189733b at the known planetary radial velocity semi-amplitude with 3.4 sigma confidence.