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《天文和天体物理学研究(英文版)》 2010-08
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Test observations that search for metal-poor stars with the Guoshoujing Telescope (LAMOST)

Hai-Ning Li1,2, Gang Zhao1, Norbert Christlieb3, A-Li Luo1, Jing-Kun Zhao1, Yong-Heng Zhao1, Jian-Jun Chen1 and Zhong-Rui Bai1 1 Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China; 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3 Zentrum fr Astronomie der Universitt Heidelberg, Landessternwarte, Konigstuhl 12, 69117 Heidelberg, Germany  
Metal-deficient stars are regarded as fossils of the early generation of stars and therefore make crucial observational targets related to stellar astrophysics.They provide fundamental information and insights on properties of the very early stage of the chemical history of the Galaxy and have been investigated for decades.The unique design of the Guoshoujing Telescope (LAMOST), such as its large field and multi-object observational capability, enables it to be an excellent tool for searching for these metal-poor stars in the Milky Way.This work reports the result of test observations which search for metal-poor stars with LAMOST, during which nine candidate metal-poor stars with [Fe/H] ≤-1.0 were newly detected based on the low-resolution spectroscopic observations of the LAMOST commissioning data.The sample of stars demonstrates the efficiency of selecting from the input catalog, as well as the ability of LAMOST to enlarge the sample of metal-poor stars in the Milky Way.Furthermore, the sample of stars could be used for future calibrations of the LAMOST stellar pa-rameter pipeline.
【Fund】: The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST now called the Guoshoujing Telescope) is a National Major Scientific Project built by the Chinese Academy of Sciences;; supported by the National Natural Science Foundation of China (NSFC) (Grant No.10821061);; the National Basic Research Program of China (Program 973;Grant No.2007CB815103) and it has made use of the CAS database of SDSS3;; the Global Networks program of the University of Heidelberg and from Deutsche Forschungsgemeinschaft under grant CH 214/5-1
【CateGory Index】: P144
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