Chinese | English

Search in the results

NAOC Open IR

Browse/Search Results:  1-10 of 10 Help

Selected(0)Clear Items/Page:    Sort:
Identification of BASS DR3 sources as stars, galaxies, and quasars by XGBoost 期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 卷号: 506, 期号: 2, 页码: 1651-1664
Authors:  Li, Changhua;  Zhang, Yanxia;  Cui, Chenzhou;  Fan, Dongwei;  Zhao, Yongheng;  Wu, Xue-Bing;  He, Boliang;  Xu, Yunfei;  Li, Shanshan;  Han, Jun;  Tao, Yihan;  Mi, Linying;  Yang, Hanxi;  Yang, Sisi
Favorite  |  View/Download：9/0  |  Submit date：2021/12/06
methods: data analysis  methods: statistical  astronomical data bases: miscellaneous  catalogues  stars: general  galaxies: general  
A novel stellar spectrum denoising method based on deep Bayesian modeling 期刊论文
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 卷号: 21, 期号: 7, 页码: 16
Authors:  Kang, Xin;  He, Shi-Yuan;  Zhang, Yan-Xia
Favorite  |  View/Download：7/0  |  Submit date：2021/12/06
methods  data analysis  methods  numerical  methods  statistical  techniques  spectroscopic  
A survey on machine learning based light curve analysis for variable astronomical sources 期刊论文
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021, 页码: 25
Authors:  Yu, Ce;  Li, Kun;  Zhang, Yanxia;  Xiao, Jian;  Cui, Chenzhou;  Tao, Yihan;  Tang, Shanjiang;  Sun, Chao;  Bi, Chongke
Favorite  |  View/Download：6/0  |  Submit date：2021/12/06
deep learning  light curve analysis  machine learning  variable  
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：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：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：6/0  |  Submit date：2021/12/06
methods: data analysis  methods: statistical  astronomical data bases: miscellaneous  catalogues  stars: general  galaxies: general  
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：8/0  |  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：3/0  |  Submit date：2021/12/06
astronomical databases: catalogs  (galaxies:) quasars: general  methods: statistical  techniques: miscellaneous  
Efficient selection of quasar candidates based on optical and infrared photometric data using machine learning 期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 卷号: 485, 期号: 4, 页码: 4539-4549
Authors:  Jin, Xin;  Zhang, Yanxia;  Zhang, Jingyi;  Zhao, Yongheng;  Wu, Xue-bing;  Fan, Dongwei
Favorite  |  View/Download：19/0  |  Submit date：2020/03/10
methods: statistical  astronomical data bases: miscellaneous  catalogues  galaxies: distances and redshifts  quasars: general