YNAO OpenIR  > 大样本恒星演化研究组
基于LAMOST光谱的白矮星证认研究
其他题名Research on White Dwarf Identification Based on LAMOST Spectroscopy
蔡靖豪
学位类型硕士
导师韩占文 ; 邢丽峰
2023-07-01
学位授予单位中国科学院大学
学位授予地点北京
学位专业天体物理
关键词白矮星 LAMOST 光谱
摘要白矮星是中小质量(0.8 𝑀⊙ < 𝑀 < 7 𝑀⊙)恒星晚期演化残留下来的恒星内核,其代表了宇宙中 95% 以上的天体的最终宿命。白矮星包含了恒星诞生到死亡的诸多信息。就单颗白矮星而言,可用于验证恒星的演化理论,其中包括演化末期的后AGB阶段的物质损失率,这也直接影响恒星的初始-终止质量关系。白矮星也是多星系统演化的可能结果,Toonen等人于2017年估计25%∼30%的白矮星是双星或多星并合后演化的结果,而已被发现的质量小于0.4𝑀⊙的白矮星通常被认为是双星演化的结果。因此白矮星也可被用于验证双星演化理论的正确性。白矮星致密的简并内核代表了极端条件下理论物理理想的实验室。对白矮星冷却演化轨迹和冷却模型的研究使得白矮星可以作为各恒星族独立的年龄和距离指示器,并提供了一个独立的宇宙时钟来限制银河系各个星族恒星的年龄。通过对白矮星星族的星族的研究,可以反演银河系恒星形成率等星系演化的重要特征。白矮星星族性质的研究需要综合白矮星的空间密度、光度函数等信息,而这些信息的获取需要一个大量的、均匀的、且定义明确的白矮星样本。 早期由于观测仪器的限制,对白矮星的光谱证认工作效率低下。最近二十年GALEX(Galaxy Evolution Explorer)、SDSS(The Sloan Digital Sky Survey)、GAIA(Global Astrometric Interferometer for Astrophysics)、LAMOST(Large Sky Area Multi-Object Fiber Spectroscopy Telescope)等大型巡天项目的开展,极大地提高了测光、光谱等天体物理信息获取的数量,白矮星的搜寻工作得以获得了快速的发展。 这里我们使用了LAMOST第八次数据释放(DR8) 低分辨率光谱数据,结合GAIA的高精度测光和周年视差数据识别白矮星。我们根据白矮星光谱的特征谱线和谱线较大的展宽,在LAMOST DR8中总共找到了4692个白矮星和85个激变变星。经过与已发布的LAMOST、GAIA、SDSS白矮星星表对比,该白矮星样本的完备性为80%,分类的准确性达到99%,因此我们的识别方法非常准确,最终得到的LAMOST白矮星样本很好地反映了不同类型的白矮星在GAIA H-R图上的分布。
其他摘要White dwarfs are stellar cores left over from the late evolution of middle and small mass (0.8 𝑀⊙ < 𝑀 < 7 𝑀⊙) stars, which represent the ultimate fate of more than 95% of the celestial objects in the universe. White dwarfs contain a lot of information about stars from birth to death. A single white dwarf can be used to verify the evolution theory of stars, including the material loss rate in the post AGB stage at the end of the evolution, which also directly affects the star's initial-to-final mass relation. White dwarfs are also possible results of the evolution of multiple star systems. It is estimated that 25% ∼ 30% of white dwarfs are the results of the evolution after merging, and white dwarfs with mass less than 0.4𝑀⊙ that have been found are generally considered as the results of the evolution of binary stars. Therefore, white dwarfs can also be used to verify the correctness of the theory of binary stars evolution. The compact degenerate core of white dwarf represents an ideal laboratory of theoretical physics under extreme conditions. The research on the cooling sequence and cooling model of white dwarf makes it possible to use the white dwarf as an independent age and distance indicator for various star populations, and provides an independent cosmic clock to limit the ages of stars in each star population in the Milky Way. Through the study of white dwarf populations, we can invert the important characteristics of galaxy evolution such as star formation rate of the Milky Way. The study of the properties of the white dwarf populations needs to integrate the spatial density, luminosity function and other information of the white dwarf, and the acquisition of these information needs a large number of uniform and well-defined white dwarf samples. In the early days, due to the limitation of observation instruments, the spectral identification of white dwarfs was inefficient. In the past two decades, the development of large-scale sky surveys, such as GALEX (Galaxy Evolution Explorer), SDSS (The Sloan Digital Sky Survey), GAIA (Global Astronomic Interferometer for Astrophysics), LAMOST (Large Sky Area Multi Object Fiber Spectroscope Telescope), has greatly increased the number of astrophysical information acquisition, such as photometry and spectrum, and the search for white dwarf has made great progress. Here we use the low resolution spectral data of LAMOST's eighth data release (DR8), combined with GAIA's high-precision photometry and parallax data, to identify white dwarfs. According to the characteristic spectral lines of the white dwarf spectrum and the larger broadening of the spectral lines, we have identified a total of 4692 white dwarf systems and 85 cataclysmic variable star systems in LAMOST DR8. After comparison, the completeness of the white dwarf sample is 80%, and the classification accuracy is 99%, so our identification is very accurate. The final LAMOST white dwarfs sample can well reflect the distribution of different types of white dwarf in the GAIA H-R diagram.
学科领域天文学
学科门类理学 ; 理学::天文学
页数0
语种中文
文献类型学位论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/26398
专题大样本恒星演化研究组
作者单位中国科学院云南天文台
第一作者单位中国科学院云南天文台
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蔡靖豪. 基于LAMOST光谱的白矮星证认研究[D]. 北京. 中国科学院大学,2023.
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