Ge Jin
University of Science and Technology of China
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Publication
Featured researches published by Ge Jin.
Research in Astronomy and Astrophysics | 2012
Xiangqun Cui; Yong-Heng Zhao; Yao-Quan Chu; Guoping Li; Qi Li; Li-Ping Zhang; Hong-Jun Su; Zheng-Qiu Yao; Ya-nan Wang; Xiao-Zheng Xing; Xinnan Li; Yongtian Zhu; Gang Wang; Bozhong Gu; A-Li Luo; Xin-Qi Xu; Zhenchao Zhang; Genrong Liu; Haotong Zhang; Dehua Yang; Shu-Yun Cao; Hai-Yuan Chen; Jian-Jun Chen; Kunxin Chen; Ying Chen; Jia-Ru Chu; Lei Feng; Xuefei Gong; Yonghui Hou; Hong-Zhuan Hu
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, also called the Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST’s special design allows both a large aperture (effective aperture of 3.6 m–4.9 m) and a wide field of view (FOV) (5 ° ). It has an innovative active reflecting Schmidt configuration which continuously changes the mirror’s surface that adjusts during the observation process and combines thin deformable mirror active optics with segmented active optics. Its primary mirror (6.67 m×6.05 m) and active Schmidt mirror (5.74 m×4.40 m) are both segmented, and composed of 37 and 24 hexagonal sub-mirrors respectively. By using a parallel controllable fiber positioning technique, the focal surface of 1.75 m in diameter can accommodate 4000 optical fibers. Also, LAMOST has 16 spectrographs with 32 CCD cameras. LAMOST will be the telescope with the highest rate of spectral acquisition. As a national large scientific project, the LAMOST project was formally proposed in 1996, and approved by the Chinese government in 1997. The construction started in 2001, was completed in 2008 and passed the official acceptance in June 2009. The LAMOST pilot survey was started in October 2011 and the spectroscopic survey will launch in September 2012. Up to now, LAMOST has released more than 480 000 spectra of objects. LAMOST will make an important contribution to the study of the large-scale structure of the Universe, structure and evolution of the Galaxy, and cross-identification of multiwaveband properties in celestial objects.
The Astrophysical Journal | 2013
Jeffrey L. Carlin; James DeLaunay; Heidi Jo Newberg; Licai Deng; Daniel Gole; Kathleen Grabowski; Ge Jin; Chao Liu; Xiaowei Liu; A-Li Luo; Haibo Yuan; Haotong Zhang; Gang Zhao; Yong-Heng Zhao
We find that Galactic disk stars near the anticenter exhibit velocity asymmetries in both the Galactocentric radial and vertical components across the midplane as well as azimuthally. These findings are based on Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic velocities for a sample of ~400, 000 F-type stars, combined with proper motions from the PPMXL catalog for which we have derived corrections to the zero points based in part on spectroscopically discovered galaxies and QSOs from LAMOST. In the region within 2xa0kpc outside the Suns radius and ±2xa0kpc from the Galactic midplane, we show that stars above the plane exhibit net outward radial motions with downward vertical velocities, while stars below the plane have roughly the opposite behavior. We discuss this in the context of other recent findings, and conclude that we are likely seeing the signature of vertical disturbances to the disk due to an external perturbation.
The Astrophysical Journal | 2014
Chao Liu; Licai Deng; Jeffrey L. Carlin; M. Smith; Jing Li; Heidi Jo Newberg; Shuang Gao; Fan Yang; Xiang-Xiang Xue; Yan Xu; Yueyang Zhang; Yu Xin; Yue Wu; Ge Jin
We present a support vector machine classifier to identify the K giant stars from the LAMOST survey directly using their spectral line features. The completeness of the identification is about 75% for tests based on LAMOST stellar parameters. The contamination in the identified K giant sample is lower than 2.5%. Applying the classification method to about 2 million LAMOST spectra observed during the pilot survey and the first year survey, we select 298,036 K giant candidates. The metallicities of the sample are also estimated with uncertainty of
Astrophysical Journal Supplement Series | 2015
P. De Cat; J. N. Fu; A. B. Ren; X. H. Yang; J. R. Shi; A-Li Luo; Ming Yang; Jia-Ning Wang; Huawei Zhang; Huo-Ming Shi; Wei Zhang; Subo Dong; G. Catanzaro; C. J. Corbally; A. Frasca; Richard O. Gray; J. Molenda Żakowicz; K. Uytterhoeven; Maryline Briquet; H. Bruntt; S. Frandsen; L. L. Kiss; D. W. Kurtz; M. Marconi; E. Niemczura; Roy Ostensen; Vincenzo Ripepi; B. Smalley; J. Southworth; R. Szabó
0.13sim0.29
The Astrophysical Journal | 2014
Subo Dong; Zheng Zheng; Zhaohuan Zhu; P. De Cat; J. N. Fu; Xiao-Hong Yang; Haotong Zhang; Ge Jin; Yong Zhang
,dex based on the equivalent widths of Mg
The Astrophysical Journal | 2014
Zheng Zheng; Jeffrey L. Carlin; Timothy C. Beers; Licai Deng; Carl J. Grillmair; Puragra Guhathakurta; Sebastien Lepine; Heidi Jo Newberg; Brian Yanny; Haotong Zhang; Chao Liu; Ge Jin; Yong Zhang
_{rm b}
The Astrophysical Journal | 2014
Jing Zhong; Li Chen; Chao Liu; Richard de Grijs; Jinliang Hou; Shiyin Shen; Zhengyi Shao; Jing Li; A-Li Luo; J. R. Shi; Haotong Zhang; Ming Yang; Licai Deng; Ge Jin; Yong Zhang; Yonghui Hou; Zhenchao Zhang
and iron lines. A Bayesian method is then developed to estimate the posterior probability of the distance for the K giant stars, based on the estimated metallicity and 2MASS photometry. The synthetic isochrone-based distance estimates have been calibrated using 7 globular clusters with a wide range of metallicities. The uncertainty of the estimated distance modulus at
Astronomy and Astrophysics | 2014
J. R. Ren; A. Rebassa-Mansergas; A-Li Luo; Yong-Heng Zhao; Maosheng Xiang; Xiaowei Liu; Gang Zhao; Ge Jin; Yong Zhang
K=11
The Astronomical Journal | 2013
Yueyang Zhang; Licai Deng; Chao Liu; Sebastien Lepine; Heidi Jo Newberg; Jeffrey L. Carlin; Kenneth Carrell; Fan Yang; Shuang Gao; Yan Xu; Jing Li; Haotong Zhang; Yong-Heng Zhao; A-Li Luo; Zhong-Rui Bai; Hai-Long Yuan; Ge Jin
,mag, which is the median brightness of the K giant sample, is about 0.6,mag, corresponding to
Monthly Notices of the Royal Astronomical Society | 2015
Qiran Xia; Chao Liu; Yan Xu; Shude Mao; Shuang Gao; Yonghui Hou; Ge Jin; Yong Zhang
sim30