白矮主序双星光谱的参数自动测量研究

白矮主序双星是一类致密的双星系统, 主星是一颗白矮星，伴星是一颗小质量的M型主序星。白矮主序双星光谱的数量相对较少，但对该类天体的研究对于进一步理解密近双星的演化, 特别是公共包层演化的物理机制等重要的天体物理热点有积极的意义。SDSS-DR12是美国SLOAN巡天望远镜发布的最新数据，基于前期实验在其中发现的4, 140个白矮主序双星光谱，通过最小二乘法对这些光谱进行分解后，使用模板匹配方法，测量了这批样本中两个子星的基本参数，包括有效温度、重力加速度、金属丰度等，并对结果进行了分析和统计，进一步丰富了白矮主序双星模板库。白矮主序双星的参数测量的主要问题是计算量大，在实验中使用了GPU技术，提高了匹配效率，在海量光谱处理方向进行了有益尝试。实验结果表明该方法对大型巡天望远镜的海量光谱参数自动处理有较重要的应用价值。

Research on Automatic Parameter Measurement of WDMS Spectra

White dwarf main-sequence star (WDMS)is a detached binary star system consisting of a white dwarf primary (WD) and a low-mass main-sequence (MS)companion.Despite the relatively smaller number of WDMS spectra,WDMS has positive significance to the study of evolution of close binaries,especially the evolution of common envelope (CE).The Sloan Digital Sky Survey (SDSS)released the latest data (DR12)which was the final data release of the SDSS-III,containing all SDSS observa-tions.Based on the WDMS spectra identified in previous work,in this paper,we proposed an automatic and efficient method for measuring parameters of WDMS spectra.Least square method was used to decompose the WDMS spectra and the basic parame-ters including effective temperature、surface gravity and metallicity derived by template matching.Graphical processing units (GPU)was carried out to solve the problem of large computation in parallel mode.Experiment result showed that our code gave excellent performance and accuracy for spectra decomposition and had a 32.128X speedup compared with the serial CPU pro-gram.