论文标题
横向矢量分解方法用于分析外球星形传输光谱的分析方法
Transverse Vector Decomposition Method for Analytical Inversion of Exoplanet Transit Spectra
论文作者
论文摘要
我们开发了一种新的方法来分析集合外球星形传输光谱和检索行星参数。该方法具有几何解释，并将每个观察到的光谱视为单个矢量$ \ vec r $在观察到的bin值的多维光谱空间中。我们将观察到的$ \ vec {r} $分解为与波长无关的组件$ \ vec {r} _ \并行$对应于所有观察到的bin的光谱平均值，而横向组件$ \ vec {r} _ \ vec {r} _ \ perp $哪些是ectiptent contipents contectertent和相关的化学信息。该方法允许我们提取没有任何事先假设或其他信息，大气中吸收剂的相对质量（或体积）混合比，尺度高度与恒星半径比，$ h/r_s $和大气温度。该方法通过增加复杂性的几个示例进行了说明和验证。
We develop a new method for analytical inversion of binned exoplanet transit spectra and for retrieval of planet parameters. The method has a geometrical interpretation and treats each observed spectrum as a single vector $\vec r$ in the multidimensional spectral space of observed bin values. We decompose the observed $\vec{r}$ into a wavelength-independent component $\vec{r}_\parallel$ corresponding to the spectral mean across all observed bins, and a transverse component $\vec{r}_\perp$ which is wavelength-dependent and contains the relevant information about the atmospheric chemistry. The method allows us to extract, without any prior assumptions or additional information, the relative mass (or volume) mixing ratios of the absorbers in the atmosphere, the scale height to stellar radius ratio, $H/R_S$, and the atmospheric temperature. The method is illustrated and validated with several examples of increasing complexity.
