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Zhang Yanx... [6]
Zhao Gang [3]
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Connections between galaxy properties and halo formation time in the cosmic web
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 507, 期号: 4, 页码: 5320-5330
Authors:
Zhang, Youcai
;
Yang, Xiaohu
;
Guo, Hong
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  |  
View/Download:5/0
  |  
Submit date:2021/12/06
methods: statistical
cosmology: observations
large-scale structure of Universe
SDSS-IV MaNGA: enhanced star formation in galactic-scale outflows
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 505, 期号: 1, 页码: 191-199
Authors:
Bao, Min
;
Chen, Yanmei
;
Yuan, Qirong
;
Shi, Yong
;
Bizyaev, Dmitry
;
Yu, Xiaoling
;
Feng, Shuai
;
Cao, Xiao
;
Gao, Yulong
;
Gu, Qiusheng
;
Yu, Ying
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  |  
View/Download:8/0
  |  
Submit date:2021/12/06
galaxies: abundances
galaxies: kinematics and dynamics
galaxies: star formation
Classification of 4XMM-DR9 sources by machine learning
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 503, 期号: 4, 页码: 5263-5273
Authors:
Zhang, Yanxia
;
Zhao, Yongheng
;
Wu, Xue-Bing
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  |  
View/Download:5/0
  |  
Submit date:2021/12/06
methods: data analysis
methods: statistical
astronomical data bases: miscellaneous
catalogues
stars: general
galaxies: general
Classification of 4XMM-DR9 sources by machine learning
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 503, 期号: 4, 页码: 5263-5273
Authors:
Zhang, Yanxia
;
Zhao, Yongheng
;
Wu, Xue-Bing
Favorite
  |  
View/Download:4/0
  |  
Submit date:2021/12/06
methods: data analysis
methods: statistical
astronomical data bases: miscellaneous
catalogues
stars: general
galaxies: general
Classification of 4XMM-DR9 sources by machine learning
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 503, 期号: 4, 页码: 5263-5273
Authors:
Zhang, Yanxia
;
Zhao, Yongheng
;
Wu, Xue-Bing
Favorite
  |  
View/Download:6/0
  |  
Submit date:2021/12/06
methods: data analysis
methods: statistical
astronomical data bases: miscellaneous
catalogues
stars: general
galaxies: general
Low-alpha metal-rich stars with sausage kinematics in the LAMOST survey: Are they from the Gaia-Sausage-Enceladus galaxy?
期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2021, 卷号: 64, 期号: 3, 页码: 13
Authors:
Zhao, Gang
;
Chen, Yuqin
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  |  
View/Download:5/0
  |  
Submit date:2021/12/06
Galactic halo
spiral arms and Galactic disk
chemical composition and chemical evolution
kinematics and dynamics
rotation
Low-alpha metal-rich stars with sausage kinematics in the LAMOST survey: Are they from the Gaia-Sausage-Enceladus galaxy?
期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2021, 卷号: 64, 期号: 3, 页码: 13
Authors:
Zhao, Gang
;
Chen, Yuqin
Favorite
  |  
View/Download:6/0
  |  
Submit date:2021/12/06
Galactic halo
spiral arms and Galactic disk
chemical composition and chemical evolution
kinematics and dynamics
rotation
Low-alpha metal-rich stars with sausage kinematics in the LAMOST survey: Are they from the Gaia-Sausage-Enceladus galaxy?
期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2021, 卷号: 64, 期号: 3, 页码: 13
Authors:
Zhao, Gang
;
Chen, Yuqin
Favorite
  |  
View/Download:5/0
  |  
Submit date:2021/12/06
Galactic halo
spiral arms and Galactic disk
chemical composition and chemical evolution
kinematics and dynamics
rotation
GeneticKNN: a weighted KNN approach supported by genetic algorithm for photometric redshift estimation of quasars
期刊论文
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 卷号: 21, 期号: 1, 页码: 13
Authors:
Han, Bo
;
Qiao, Li-Na
;
Chen, Jing-Lin
;
Zhang, Xian-Da
;
Zhang, Yan-Xia
;
Zhao, Yong-Heng
Favorite
  |  
View/Download:7/0
  |  
Submit date:2021/12/06
astronomical databases: catalogs
(galaxies:) quasars: general
methods: statistical
techniques: miscellaneous
GeneticKNN: a weighted KNN approach supported by genetic algorithm for photometric redshift estimation of quasars
期刊论文
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 卷号: 21, 期号: 1, 页码: 13
Authors:
Han, Bo
;
Qiao, Li-Na
;
Chen, Jing-Lin
;
Zhang, Xian-Da
;
Zhang, Yan-Xia
;
Zhao, Yong-Heng
Favorite
  |  
View/Download:7/0
  |  
Submit date:2021/12/06
astronomical databases: catalogs
(galaxies:) quasars: general
methods: statistical
techniques: miscellaneous