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    题名 作者 年代 出处 被引量
1LAMOST Experiment for Galactic Understanding and Exploration (LEGUE)——The survey's science plan显示文摘We describe the current plans for a spectroscopic survey of millions of stars in the Milky Way galaxy using the Guo Shou Jing Telescope (GSJT, formerly called the Large sky Area Multi-Object fiber Spectroscopic Telescope - LAMOST). The survey will obtain spectra for 2.5 million stars brighter than r < 19 during dark/grey time, and 5 million stars brighter than r < 17 or J < 16 on nights that are moonlit or have low transparency. The survey will begin in the fall of 2012, and will run for at least four years. The telescope's design constrains the optimal declination range for observations to 10 < δ < 50 , and site conditions lead to an emphasis on stars in the direction of the Galactic anticenter. The survey is divided into three parts with different target selection strategies: disk, anticenter, and spheroid. The resulting dataset will be used to study the merger history of the Milky Way, the substructure and evolution of the disks, the nature of the first generation of stars through identification of the lowest metallicity stars, and star formation through study of open clusters and OB associations. Detailed design of the LAMOST Experiment for Galactic Understanding and Exploration (LEGUE) survey will be completed in summer 2012, after a review of the results of the pilot survey.Li-Cai Deng Heidi Jo Newberg Chao Liu Jeffrey L. Carlin Timothy C. Beers Li Chen Hsu-Tai Lee Carl J. Grillmair Puragra Guhathakurta] Zhan-Wen Han Jin-Liang Hou Sebastien Lepine Jing Li Xiao-Wei Liu Kai-Ke Pan J. A. Sellwood Bo Wang Hong-Chi Wang Fan Yang Brian Yanny Hao-Tong Zhang Yue-Yang Zhang Zheng Zheng Zi Zhu 2012Research in Astronomy and Astrophysics2012,12,7:10
2The first data release(DR1) of the LAMOST regular survey显示文摘The Large sky Area Multi-Object Fiber Spectroscopic Telescope(LAMOST) general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio(SNR) ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters: late A,FGK-type stars with high quality spectra(1 061 918 entries), A-type stars(100 073 entries), and M-type stars(121 522 entries). This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.A-Li Luo Yong-Heng Zhao Gang Zhao Li-Cai Deng Xiao-Wei Liu Yi-Peng Jing Gang Wang Hao-Tong Zhang Jian-Rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-Ping Li Zhong-Rui Bai Yue Wu Yan Cai Shu-Yun Cao Zi-Huang Cao Jeffrey L.Carlin Hai-Yuan Chen Jian-Jun Chen Kun-Xin Chen Li Chen Xue-Lei Chen Xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui Yi-Qiao Dong Bing Du Dong-Wei Fan Lei Feng Jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin Guo Zhan-Wen Han Bo-Liang He Jin-Liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Zhi-Ying Huo Lei Jia Fang-Hua Jiang Xiang Jiang Zhi-Bo Jiang Ge Jin Xiao Kong Xu Kong Ya-Juan Lei Ai-Hua Li Chang-Hua Li Guang-Wei Li Hai-Ning Li Jian Li Qi Li Shuang Li Sha-Sha Li Xin-Nan Li Yan Li Yin-Bi Li Ye-Ping Li Yuan Liang Chien-Cheng Lin Chao Liu Gen-Rong Liu Guan-Qun Liu Zhi-Gang Liu Wen-Zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg Ji-Jun Ni Zhao-Xiang Qi Yong-Jun Qi Shi-Yin Shen Huo-Ming Shi Jing Song Yi-Han Song Ding-Qiang Su Hong-Jun Su Zheng-Hong Tang Qing-Sheng Tao Yuan Tian Dan Wang Da-Qi Wang Feng-Fei Wang Guo-Min Wang Hai Wang Hong-Chi Wang Jian Wang Jia-Ning Wang Jian-Ling Wang Jian-Ping Wang Jun-Xian Wang Lei Wang Meng-Xin Wang Shou-Guan Wang Shu-Qing Wang Xia Wang Ya-Nan Wang You Wang Yue-Fei Wang You-Fen Wang Peng Wei Ming-Zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu Xiao-Zheng Xing Ling-Zhe Xu Xin-Qi Xu Yan Xu Tai-Sheng Yan De-Hua Yang Hai-Feng Yang Hui-Qin Yang Ming Yang Zheng-Qiu Yao Yong Yu Hui Yuan Hai-Bo Yuan Hai-Long Yuan Wei-Min Yuan Chao Zhai En-Peng Zhang Hua-Wei Zhang Jian-Nan Zhang Li-Pin Zhang Wei Zhang Yong Zhang Yan-Xia Zhang Zheng-Chao Zhang Ming Zhao Fang Zhou Xu Zhou Jie Zhu Yong-Tian Zhu Si-Cheng Zou Fang Zuo 2015Research in Astronomy and Astrophysics2015,15,8:2
3帕金森病早期[^(99m)Tc]TRODAT-1SPECT成像分析与嗅觉鉴定相关Siderowf A. Newberg A. Chou K.L. 王孝文 2005世界核心医学期刊文摘(神经病学分册)2005,0,9:2
4Mapping the Milky Way with LAMOSTⅠ:method and overview显示文摘We present a statistical method to derive the stellar density profiles of the Milky Way from spectroscopic survey data,taking into account selection effects.We assume the selection function,which can be altered during observations and data reductions,of the spectroscopic survey is based on photometric colors and magnitude.Then the underlying selection function for a line-of-sight can be recovered well by comparing the distribution of the spectroscopic stars in a color-magnitude plane with that of the photometric dataset.Subsequently,the stellar density profile along a line-of-sight can be derived from the spectroscopically measured stellar density profile multiplied by the selection function.The method is validated using Galaxia mock data with two different selection functions.We demonstrate that the derived stellar density profiles reconstruct the true ones well not only for the full set of targets,but also for sub-populations selected from the full dataset.Finally,the method is applied to map the density profiles for the Galactic disk and halo,using the LAMOST RGB stars.The Galactic disk extends to about R=19 kpc,where the disk still contributes about 10% to the total stellar surface density.Beyond this radius,the disk smoothly transitions to the halo without any truncation,bending or breaking.Moreover,no over-density corresponding to the Monoceros ring is found in the Galactic anti-center direction.The disk shows moderate north–south asymmetry at radii larger than 12 kpc.On the other hand,the R–Z tomographic map directly shows that the stellar halo is substantially oblate within a Galactocentric radius of 20 kpc and gradually becomes nearly spherical beyond 30 kpc.Chao Liu Yan Xu Jun-Chen Wan Hai-Feng Wang Jeffrey L.Carlin Li-Cai Deng Heidi Jo Newberg Zi-Huang Cao Yong-Hui Hou Yue-Fei Wang Yong Zhang 2017Research in Astronomy and Astrophysics2017,17,9:2
5Nonlinear shear instabilities of alongshore currents over barred beaches 显示文摘Slinn D N Allen J S Newberger P A 1998Journal of Geophysical Research1998,103,18:1
6Preemptive patenting and the persistence of monopoly显示文摘Gilbert Richard J David MG Newberg 1982American Economic Review1982,72,3:1
7Meditation effects on cognitive function and cerebral blood flow in subjects with memory loss: a preliminary study显示文摘Newberg AB Wintering N Khalsa DS 2010J Alzheimers Dis2010,20,2:1
8The measurement of regional cerebral blood flow during the complex cognitive task of meditation:a preliminary SPECT study显示文摘Newberg A Alavi A Baime M et a1 0,,02:1
9Protective Effect of Solanum nigrum Leaves Extract on Immobilization Stress Induced Changes in Rat’s Brain显示文摘Syed Kashif Zaidi Md. Nasrul Hoda Shams Tabrez Shakeel Ahmed Ansari Mohammad Alam Jafri Mohd Shahnawaz Khan Shirin Hasan Mohammed H. Alqahtani Adel Mohammed Abuzenadah Naheed Banu Andrew Newberg 2014Evidence-Based Complementary and Alternative Medicine2014,,:1
10 TRODAT-1 SPECT imaging correlates with odor identification in early Parkinson disease显示文摘Siderowf A Newberg A Chou KL 2005Neurology2005,64,10:1
11Determination of cerebral function with FDG-PET imaging in neuropsychiatfic disorders显示文摘Newberg A Alavi A 2002Seminars in Nuclear Medicine2002,32,1:1
12Systemic and cerebral effects of isoflurane -induced hypotension in dogs 显示文摘Newberg LA Milde JH Michenfelder JD 1984Anesthesiology1984,60,6:1
13Imaging of stress fractures in the athlete显示文摘Damon J Spitz Arthur H Newberg 2002Radiologic Clinics of North America2002,,2:1
14Neurobiology of bipolar disorder显示文摘Newberg AR Catapano LA Zarate CA 2008Expert Rev Neurother2008,8,1:1
15Down syndrome: prenatal risk assessment and diag- nosis显示文摘Newberger DS 2000Am Faro Physician2000,62,4:1
16Biodistribution and imaging with 123I-ADAM:a serotonin transporter imaging agent显示文摘Andrew B Newberg Karl Plossl P David Mozley 2004J Nucl Med2004,45,5:1
17Computed tomography of joint injures显示文摘 1990Radio Clin North Am1990,28,:1
18TRODAT-1 SPECT imaging correlates with odor identification in early Par- kinson disease显示文摘Siderowf A Newberg A Chou K 2005Neurology2005,64,10:1
19A metabolic imaging severity rating sevetity rating scale for the assessment of cognitive impairment显示文摘Newberg A Correr A Udeshi M 2003Clin Nucl Med2003,28,:1
20Spine radiographs in patients with lowback pain显示文摘Frymoyer J W Newberg A 1984Bone&Joint Surgery1984,66,:1
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