Brown dwarf spectra contain a wealth of information about their molecularabundances, temperature structure, and gravity. We present a new data drivenretrieval approach, previously used in planetary atmosphere studies, to extractthe molecular abundances and temperature structure from brown dwarf spectra.The feasibility of the approach is first demonstrated on a synthetic browndwarf spectrum. Given typical spectral resolutions, wavelength coverage, andnoise properties precisions of tens of percent can be obtained for themolecular abundances and 10s-100s K on the temperature profile. The techniqueis then applied to the well studied brown dwarf, Gl 570D. From this spectralretrieval the spectroscopic radius is constrained to be 0.75 - 0.83$R_{\mathrm{J}}$, $\log(g)$ to be 5.13 - 5.46 and $T_{\mathrm{eff}}$ to bebetween 804 and 849 K. Estimates for the range of abundances and allowedtemperature profiles are also derived. The results from our retrieval approachare in agreement with the self-consistent grid modeling results of Saumon et al(2006). This new approach will allow us to address issues of compositionaldifferences between brown dwarfs and possibly their formation environments,disequilibrium chemistry, missing physics in current grid modeling approachesas well as a many other issues.
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机译:褐矮星光谱包含有关其分子丰度,温度结构和重力的大量信息。我们提出了一种新的数据驱动的检索方法,该方法以前在行星大气研究中用于从褐矮光谱中提取分子丰度和温度结构。该方法的可行性首先在合成褐矮光谱中得到了证明。给定典型的光谱分辨率,对于温度分布上的分子丰度和10s-100s K,可以获得数十%的波长覆盖率和噪声特性精度。然后将该技术应用于经过充分研究的褐矮星Gl 570D。从该光谱检索中,光谱半径被约束为0.75-0.83 $ R _ {\ mathrm {J}} $,$ \ log(g)$为5.13-5.46和$ T _ {\ mathrm {eff}} $在804之间和849K。还得出了丰度范围和允许的温度曲线的估计值。我们的检索方法得到的结果与Saumon等人(2006年)的自洽网格建模结果一致。这种新方法将使我们能够解决棕矮星及其形成环境之间的成分差异问题,不平衡化学反应,当前网格建模方法中缺少的物理现象以及许多其他问题。
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