论文标题
Galah调查:多个恒星和我们的银河系。 I.一种用于得出FGK二进制恒星特性的综合方法
The GALAH survey: Multiple stars and our Galaxy. I. A comprehensive method for deriving properties of FGK binary stars
论文作者
论文摘要
二进制恒星系统构成了银河恒星的很大一部分。它们作为研究恒星内发生的物理过程的实验室很有用,当使用恒星观察来研究银河系的结构和演变时,必须正确考虑。我们提出了12760个特征良好的双线光谱二进制样品,这些样品适用于二元人群的统计研究。使用T-分布的随机邻居嵌入(T-SNE)分类和GALAH光谱的互相关分析,将它们视为SB2。该样本主要由矮人组成,其中大量的恒星和巨型分支的几十个成员组成。计算主要和次要星的参数($ t _ {\ rm eff [1,2]} $,$ \ log g _ {[1,2]} $,[fe/h],$ v_ {r [1,2]} $ $ r _ {[1,2]} $和$ e(b-v)$),我们使用了一种贝叶斯方法,其中包括Gaia dr2的视差先验,Galah的Spectra,以及来自Apass,Gaia Dr2,2mass和Wise的明显幅度。派生出的恒星物业及其分布显示了趋势,这些趋势对于近距离的近亲($ <$ 10 au),质量比$ 0.5 \ leq Q \ leq 1 $。这些二进制恒星的衍生金属性在统计上低于相同幅度限制样品的单矮星的金属性。
Binary stellar systems form a large fraction of the Galaxy's stars. They are useful as laboratories for studying the physical processes taking place within stars, and must be correctly taken into account when observations of stars are used to study the structure and evolution of the Galaxy. We present a sample of 12760 well-characterised double-lined spectroscopic binaries that are appropriate for statistical studies of the binary populations. They were detected as SB2s using a t-distributed stochastic neighbour embedding (t-SNE) classification and a cross-correlation analysis of GALAH spectra. This sample consists mostly of dwarfs, with a significant fraction of evolved stars and several dozen members of the giant branch. To compute parameters of the primary and secondary star ($T_{\rm eff[1,2]}$, $\log g_{[1,2]}$, [Fe/H], $V_{r[1,2]}$, $v_{\rm mic[1,2]}$, $v_{\rm broad[1,2]}$, $R_{[1,2]}$, and $E(B-V)$), we used a Bayesian approach that includes a parallax prior from Gaia DR2, spectra from GALAH, and apparent magnitudes from APASS, Gaia DR2, 2MASS, and WISE. The derived stellar properties and their distributions show trends that are expected for a population of close binaries (a $<$ 10 AU) with mass ratios $0.5 \leq q \leq 1$. The derived metallicity of these binary stars is statistically lower than that of single dwarf stars from the same magnitude-limited sample.