| Overview of the LAMOST survey in the first decade | |
Yan, Hongliang1,2; Li, Haining1; Wang, Song1; Zong, Weikai3; Yuan, Haibo3; Xiang, Maosheng4; Huang, Yang5; Xie, Jiwei6,7; Dong, Subo8; Yuan, Hailong1; Bi, Shaolan3; Chu, Yaoquan9; Cui, Xiangqun10,11; Deng, Licai1; Fu, Jianning3; Han ZW(韩占文)12 ; Hou, Jinliang2,13; Li, Guoping10,11; Liu, Chao2,14; Liu, Jifeng1,2,15; Liu, Xiaowei5; Luo, Ali1,2; Shi, Jianrong1,2; Wu, Xuebing8,16; Zhang, Haotong1; Zhao, Gang1,2; Zhao, Yongheng1,2
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| 发表期刊 | INNOVATION
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| 2022-03-29 | |
| 卷号 | 3期号:2 |
| DOI | 10.1016/j.xinn.2022.100224 |
| 产权排序 | 第12完成单位 |
| 收录类别 | EI ; ESCI |
| 摘要 | The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), also known as the Guoshoujing Telescope, is a major national scientific facility for astronomical research located in Xinglong, China. Beginning with a pilot survey in 2011, LAMOST has been surveying the night sky for more than 10 years. The LAMOST survey covers various objects in the Universe, from normal stars to peculiar ones, from the Milky Way to other galaxies, and from stellar black holes and their companions to quasars that ignite ancient galaxies. Until the latest data release 8, the LAMOST survey has released spectra for more than 10 million stars, 220,000 galaxies, and 71,000 quasars. With this largest celestial spectra database ever constructed, LAMOST has helped astronomers to deepen their understanding of the Universe, especially for our Milky Way galaxy and the millions of stars within it. In this article, we briefly review the characteristics, observations, and scientific achievements of LAMOST. In particular, we show how astrophysical knowledge about the Milky Way has been improved by LAMOST data. |
| 资助项目 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11988101] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11973049] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11933004] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11890694] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12090040] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12090042] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12090043] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12090044] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11833002] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11833006] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12022304] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11835057] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11973052] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11633005] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[12173007] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11933001] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11703035] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[U2031203] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[U1531244] ; National Key R&D Program of China[2019YFA0405100] ; National Key R&D Program of China[2019YFA0405500] ; National Key R&D Program of China[2019YFA0405502] ; National Key R&D Program of China[2019YFA0405503] ; National Key R&D Program of China[2019YFA0405504] ; National Key R&D Program of China[2016YFA0400804] ; National Key R&D Program of China[2019YFA0405000] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences[XDB34020205] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences[XDB41000000] ; Youth Innovation Promotion Association of the Chinese Academy of Sci-ences[2019060] ; Youth Innovation Promotion Association of the Chinese Academy of Sci-ences[Y202017] ; Youth Innovation Promotion Association of the Chinese Academy of Sci-ences[2019057] ; Youth Innovation Promotion Association of the Chinese Academy of Sci-ences[2020060] ; NAOC Nebula Talents Program ; Guoshoujing Telescope (LAMOST) ; National Major Scientific Project built by the Chinese Academy of Sciences ; Chinese Academy of SciencesChinese Academy of Sciences |
| 项目资助者 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)[11988101, 11973049, 11933004, 11890694, 12090040, 12090042, 12090043, 12090044, 11833002, 11833006, 12022304, 11835057, 11973052, 11633005, 12173007, 11933001, 11703035, U2031203, U1531244] ; National Key R&D Program of China[2019YFA0405100, 2019YFA0405500, 2019YFA0405502, 2019YFA0405503, 2019YFA0405504, 2016YFA0400804, 2019YFA0405000] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences[XDB34020205, XDB41000000] ; Youth Innovation Promotion Association of the Chinese Academy of Sci-ences[2019060, Y202017, 2019057, 2020060] ; NAOC Nebula Talents Program ; Guoshoujing Telescope (LAMOST) ; National Major Scientific Project built by the Chinese Academy of Sciences ; Chinese Academy of SciencesChinese Academy of Sciences |
| 语种 | 英语 |
| 学科领域 | 天文学 ; 恒星与银河系 ; 恒星天文学 |
| 文章类型 | Review |
| 出版者 | ELSEVIER SCIENCE INC |
| 出版地 | STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA |
| ISSN | 2666-6758 |
| URL | 查看原文 |
| WOS记录号 | WOS:000782121000002 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| 关键词[WOS] | RED-GIANT BRANCH ; MILKY-WAY ; SPECTROSCOPIC SURVEY ; ANDROMEDA GALAXY ; METALLICITY GRADIENTS ; SOLAR NEIGHBORHOOD ; PRISTINE SURVEY ; GALACTIC DISK ; MAIN-SEQUENCE ; POOR STARS |
| EI入藏号 | 20220073590 |
| EI主题词 | Galaxies |
| EI分类号 | 657.2 Extraterrestrial Physics and Stellar Phenomena |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 版本 | 出版稿 |
| 条目标识符 | http://ir.ynao.ac.cn/handle/114a53/25078 |
| 专题 | 大样本恒星演化研究组 |
| 通讯作者 | Zhao, Yongheng |
| 作者单位 | 1.CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Beijing 100101, China; 2.School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China; 3.Department of Astronomy, Beijing Normal University, Beijing 100875, China; 4.Max-Planck Institute for Astronomy, Königstuhl, 69117, Heidelberg, Germany; 5.South-Western Institute for Astronomy Research, Yunnan University, Kunming 650500, China; 6.School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China; 7.Key Laboratory of Modern Astronomy and Astrophysics, Ministry of Education, Nanjing University, Nanjing 210093, China; 8.Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing 100871, China; 9.University of Science and Technology of China, Hefei 230026, China; 10.National Astronomical Observatories/Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences, Nanjing 210042, China; 11.CAS Key Laboratory of Astronomical Optics & Technology, Nanjing Institute of Astronomical Optics & Technology, Nanjing 210042, China; 12.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China; 13.Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; 14.Key Laboratory of Space Astronomy and Technology, National Astronomical Observatories, CAS, Beijing 100101, China; 15.WHU-NAOC Joint Center for Astronomy, Wuhan University, Wuhan 430072, China; 16.Department of Astronomy, School of Physics, Peking University, Beijing 100871, China |
| 推荐引用方式 GB/T 7714 | Yan, Hongliang,Li, Haining,Wang, Song,et al. Overview of the LAMOST survey in the first decade[J]. INNOVATION,2022,3(2). |
| APA | Yan, Hongliang.,Li, Haining.,Wang, Song.,Zong, Weikai.,Yuan, Haibo.,...&Zhao, Yongheng.(2022).Overview of the LAMOST survey in the first decade.INNOVATION,3(2). |
| MLA | Yan, Hongliang,et al."Overview of the LAMOST survey in the first decade".INNOVATION 3.2(2022). |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Overview of the LAMO（6973KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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