Automatic determination of stellar atmospheric parameters and construction of stellar spectral templates of the Guoshoujing Telescope (LAMOST)

Automatic determination of stellar atmospheric parameters and construction of stellar spectral templates of the Guoshoujing Telescope (LAMOST)
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DOI:
10.1088/1674-4527/11/8/006
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发表时间:
2011-05
影响因子:
1.8
通讯作者:
Yue Wu;A. Luo;Haining Li;Jian-rong Shi;P. Prugniel;Yan-chun Liang;Yongheng Zhao;Jian-Na Zhang
Yue Wu;A. Luo;Haining Li;Jian-rong Shi;P. Prugniel;Yan-chun Liang;Yongheng Zhao;Jian-Na Zhang
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Yue Wu;A. Luo;Haining Li;Jian-rong Shi;P. Prugniel;Yan-chun Liang;Yongheng Zhao;Jian-Na Zhang

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一些光谱测量已经进行或计划研究银河系的起源。它们的开发需要可靠的自动化方法和软件来测量恒星的基本参数。采用ULySS软件包,我们测试了不同分辨率和信噪比(SNR)对恒星大气参数(有效温度Teff、表面重力log g和金属丰度[Fe/H])测量的影响。我们表明,ULySS是可靠的,用于确定这些参数与中等分辨率的光谱(R 2000)。然后,我们应用该方法测量了从郭守敬望远镜(LAMOST)调试数据库中选取的771颗恒星的参数。结果与SDSS/SEGUE恒星参数管道(SSPP)进行了比较,我们得出的精度为167 K,0.34 dex,和0.16 dex的Teff,log g和[Fe/H]分别。此外,这些恒星中的120个被选择来构建LAMOST的主要恒星光谱模板库(版本1.0),并将作为LAMOST自动参数化管道的基本成分进行部署。
A number of spectroscopic surveys have been carried out or are planned to study the origin of the Milky Way. Their exploitation requires reliable automated methods and softwares to measure the fundamental parameters of the stars. Adopting the ULySS package, we have tested the effect of different resolutions and signal-to-noise ratios (SNR) on the measurement of the stellar atmospheric parameters (effective temperature Teff, surface gravity log g, and metallicity [Fe/H]). We show that ULySS is reliable for determining these parameters with medium-resolution spectra (R ∼ 2000). Then, we applied the method to measure the parameters of 771 stars selected in the commissioning database of the Guoshoujing Telescope (LAMOST). The results were compared with the SDSS/SEGUE Stellar Parameter Pipeline (SSPP), and we derived precisions of 167 K, 0.34 dex, and 0.16 dex for Teff, log g and [Fe/H] respectively. Furthermore, 120 of these stars are selected to construct the primary stellar spectral template library (Version 1.0) of LAMOST, and will be deployed as basic ingredients for the LAMOST automated parametrization pipeline.