中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
国家天文台 [10]
采集方式
OAI收割 [10]
内容类型
期刊论文 [10]
发表日期
2020 [1]
2019 [2]
2018 [2]
2017 [1]
2016 [2]
2014 [1]
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专题:国家天文台
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Rare Object Search From Low-S/N Stellar Spectra in SDSS
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 66475-66488
作者:
Wu, Minglei
;
Pan, Jingchang
;
Yi, Zhenping
;
Wei, Peng
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/12/06
Principal component analysis
Search problems
Astronomy
Support vector machines
Wavelength division multiplexing
Feature extraction
Random forests
SDSS
stellar spectra
machine learning
rare object search
SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library—First Release
期刊论文
OAI收割
The Astrophysical Journal, 2019, 卷号: 883, 期号: 2
作者:
Yan,Renbin
;
Chen,Yanping
;
Lazarz,Daniel
;
Bizyaev,Dmitry
;
Maraston,Claudia
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2020/03/10
catalogs
Galaxy: stellar content
stars: fundamental parameters
stars: general
techniques: spectroscopic
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library
期刊论文
OAI收割
The Astrophysical Journal Supplement Series, 2019, 卷号: 240, 期号: 2
作者:
Aguado,D. S.
;
Ahumada,Romina
;
Almeida,Andrés
;
Anderson,Scott F.
;
Andrews,Brett H.
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2020/03/10
atlases
catalogs
surveys
LAMOST Observations in the Kepler Field. II. Database of the Low-resolution Spectra from the Five-year Regular Survey
期刊论文
OAI收割
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2018, 卷号: 238, 期号: 2, 页码: 10
作者:
Zong, Weikai
;
Fu, Jian-Ning
;
De Cat, Peter
;
Shi, Jianrong
;
Luo, Ali
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2020/03/10
astronomical databases: miscellaneous
stars: fundamental parameters
stars: general
stars: statistics
techniques: spectroscopic
Recovering stellar population parameters via two full-spectrum fitting algorithms in the absence of model uncertainties
期刊论文
OAI收割
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2018, 卷号: 478, 期号: 2, 页码: 2633-2649
作者:
Ge, Junqiang
;
Yan, Renbin
;
Cappellari, Michele
;
Mao, Shude
;
Li, Hongyu
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/03/10
galaxies: evolution
galaxies: fundamental parameters
galaxies: stellar content
LAMOST Spectroscopic Survey of the Galactic Anticentre (LSS-GAC): the second release of value-added catalogues
期刊论文
OAI收割
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2017, 卷号: 467, 期号: 2, 页码: 1890-1914
作者:
Xiang, M. -S.
;
Liu, X. -W.
;
Yuan, H. -B.
;
Huo, Z. -Y.
;
Huang, Y.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2017/05/25
techniques: spectroscopic
Galaxy: abundance
Galaxy: disc
Galaxy: evolution
Galaxy: formation
THE LAMOST SPECTROSCOPIC SURVEY OF STAR CLUSTERS IN M31. II. METALLICITIES, AGES, AND MASSES
期刊论文
OAI收割
ASTRONOMICAL JOURNAL, 2016, 卷号: 152, 期号: 2
作者:
Chen, Bingqiu
;
Liu, Xiaowei
;
Xiang, Maosheng
;
Yuan, Haibo
;
Huang, Yang
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2016/10/26
galaxies: star clusters: general
galaxies: star clusters: individual (M31)
THE LAMOST SPECTROSCOPIC SURVEY OF STAR CLUSTERS IN M31. II. METALLICITIES, AGES, AND MASSES
期刊论文
OAI收割
ASTRONOMICAL JOURNAL, 2016, 卷号: 152, 期号: 2
作者:
Chen, Bingqiu
;
Liu, Xiaowei
;
Xiang, Maosheng
;
Yuan, Haibo
;
Huang, Yang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2016/10/26
galaxies: star clusters: general
galaxies: star clusters: individual (M31)
ON THE CONSTRUCTION OF A NEW STELLAR CLASSIFICATION TEMPLATE LIBRARY FOR THE LAMOST SPECTRAL ANALYSIS PIPELINE
期刊论文
OAI收割
ASTRONOMICAL JOURNAL, 2014, 卷号: 147, 期号: 5
作者:
Wei, Peng
;
Luo, Ali
;
Li, Yinbi
;
Tu, Liangping
;
Wang, Fengfei
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2016/11/30
methods: data analysis
methods: statistical
surveys
A NEW SYNTHETIC LIBRARY OF THE NEAR-INFRARED Ca II TRIPLET INDICES. I. INDEX DEFINITION, CALIBRATION, AND RELATIONS WITH STELLAR ATMOSPHERIC PARAMETERS
期刊论文
OAI收割
ASTRONOMICAL JOURNAL, 2012, 卷号: 143, 期号: 2
作者:
Du, W.
;
Luo, A. L.
;
Zhao, Y. H.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2016/11/24
galaxies: stellar content
methods: data analysis
methods: statistical
stars: fundamental parameters
stars: late-type
techniques: spectroscopic