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科研机构
国家天文台 [225]
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期刊论文 [225]
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2020 [7]
2019 [34]
2018 [35]
2017 [33]
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The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2020, 卷号: 492, 期号: 3, 页码: 4189-4215
作者:
Icaza-Lizaola, M.
;
Vargas-Magana, M.
;
Fromenteau, S.
;
Alam, S.
;
Camacho, B.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/09/26
surveys
dark energy
large-scale structure of Universe
Tracking Downflows from the Chromosphere to the Photosphere in a Solar Arch Filament System
期刊论文
The Astrophysical Journal, 2020, 卷号: 890, 期号: 1
作者:
González Manrique,Sergio Javier
;
Kuckein,Christoph
;
Pastor Yabar,Adur
;
Diercke,Andrea
;
Collados,Manuel
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  |  
浏览/下载:5/0
  |  
提交时间:2021/09/26
Solar chromosphere
Solar photosphere
Observational astronomy
Astronomy data analysis
High resolution spectroscopy
The Multi-object Spectroscopy Observation of Seven Interacting Galaxy Pairs: Metallicity Gradients and Star Formation Distributions
期刊论文
Publications of the Astronomical Society of the Pacific, 2020, 卷号: 132, 期号: 1009
作者:
Zhang,Bing-qing
;
Cao,Chen
;
Xu,Cong K.
;
Zhou,Zhi-min
;
Wu,Hong
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2020/03/10
galaxies: abundances
galaxies: evolution
galaxies: interactions
galaxies: star formation
Hii regions
techniques: spectroscopic
Classification for Unrecognized Spectra in LAMOST DR6 Using Generalization of Convolutional Neural Networks
期刊论文
Publications of the Astronomical Society of the Pacific, 2020, 卷号: 132, 期号: 1008
作者:
Zheng,Zi-Peng
;
Qiu,Bo
;
Luo,A-Li
;
Li,Yin-Bi
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/03/10
catalogs
methods: data analysis
techniques: spectroscopic
Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample
期刊论文
The Astronomical Journal, 2020, 卷号: 159, 期号: 2
作者:
Hou,Wen
;
Luo,A-li
;
Li,Yin-Bi
;
Qin,Li
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/03/10
Cataclysmic variable stars
Dwarf novae
Nova-like variable stars
Catalogs
Astronomy data analysis
Photometric and Spectroscopic Studies of Superoutbursts of Three Dwarf Novae Independently Identified by the SVOM/GWAC System in 2018
期刊论文
The Astronomical Journal, 2020, 卷号: 159, 期号: 2
作者:
Wang,J.
;
Li,H. L.
;
Xin,L. P.
;
Han,X. H.
;
Meng,X. M.
收藏
  |  
浏览/下载:5/0
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提交时间:2020/03/10
Dwarf novae
WZ Sagittae stars
Cataclysmic variable stars
Observational astronomy
Astronomical methods
Automatic patrol telescopes
RR Lyrae Star Candidates from SDSS Databases by Cost-sensitive Random Forests
期刊论文
The Astrophysical Journal Supplement Series, 2020, 卷号: 246, 期号: 1
作者:
Zhang,Jingyi
;
Zhang,Yanxia
;
Zhao,Yongheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/03/10
RR Lyrae variable stars
Stellar types
Astronomy databases
Metallicity
Random Forests
Astrostatistics
Astronomy data analysis
The Sloan Digital Sky Survey Reverberation Mapping Project: Initial C iv?Lag Results from Four Years of Data
期刊论文
The Astrophysical Journal, 2019, 卷号: 887, 期号: 1
作者:
Grier,C. J.
;
Shen,Yue
;
Horne,Keith
;
Brandt,W. N.
;
Trump,J. R.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/03/10
Reverberation mapping
Quasars
Active galactic nuclei
Supermassive black holes
Searching for Hot Subdwarf Stars from the LAMOST Spectra. III. Classification of Hot Subdwarf Stars in the Fourth Data Release of LAMOST Using a Deep Learning Method
期刊论文
ASTROPHYSICAL JOURNAL, 2019, 卷号: 886, 期号: 2, 页码: 10
作者:
Bu, Yude
;
Zeng, Jingjing
;
Lei, Zhenxin
;
Yi, Zhenping
收藏
  |  
浏览/下载:12/0
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提交时间:2020/03/10
methods: data analysis
stars: statistics
subdwarfs
Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra
期刊论文
The Astrophysical Journal Supplement Series, 2019, 卷号: 245, 期号: 2
作者:
Xiang,Maosheng
;
Ting,Yuan-Sen
;
Rix,Hans-Walter
;
Sandford,Nathan
;
Buder,Sven
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/03/10
Spectroscopy
Spectroscopic binary stars
Stellar atmospheres
Stellar abundances
Astronomy databases
Stellar properties
Stellar spectral lines
Astronomy data analysis
Sky surveys
Fundamental parameters of stars
Milky Way Galaxy
Astronomy data modeling
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