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Machine Learning Applied to Star-Galaxy-QSO Classification and Stellar Effective Temperature Regression
Bai, Yu1; Liu, JiFeng1,2; Wang, Song1; Yang, Fan2
刊名ASTRONOMICAL JOURNAL
2019
卷号157期号:1页码:9
关键词methods: data analysis stars: fundamental parameters techniques: photometric
ISSN号0004-6256
DOI10.3847/1538-3881/aaf009
英文摘要In modern astrophysics, machine learning has increasingly gained popularity with its incredibly powerful ability to make predictions or calculated suggestions for large amounts of data. We describe an application of the supervised machine-learning algorithm, random forests (RF), to the star/galaxy/QSO classification and the stellar effective temperature regression based on the combination of Large Sky Area Multi-Object Fiber Spectroscopic Telescope and Sloan Digital Sky Survey spectroscopic data. This combination enables us to obtain reliable predictions with one of the largest training samples ever used. The training samples are built with a nine-color data set of about three million objects for the classification and a seven-color data set of over one million stars for the regression. The performance of the classification and regression is examined with validation and blind tests on the objects in the RAdial Velocity Extension, 6dFGS, UV-bright Quasar Survey and Apache Point Observatory Galactic Evolution Experiment surveys. We demonstrate that RF is an effective algorithm, with classification accuracies higher than 99% for stars and galaxies, and higher than 94% for QSOs. These accuracies are higher than machine-learning results in former studies. The total standard deviations of the regression are smaller than 200 K, which is similar to those of some spectrum-based methods. The machine-learning algorithm with the broad-band photometry provides us with a more efficient approach for dealing with massive amounts of astrophysical data than do traditional color cuts and spectral energy distribution fits.
资助项目National Program on Key Research and Development Project[2016YFA0400804] ; National Natural Science Foundation of China (NSFC)[NSFC-11603038/11333004/11425313/11403056] ; NASA[NAS5-26555] ; NASA Office of Space Science[NNX09AF08G] ; National Development and Reform Commission ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Brazilian Participation Group ; Carnegie Institution for Science ; Carnegie Mellon University ; Chilean Participation Group ; French Participation Group ; Harvard-Smithsonian Center for Astrophysics ; Instituto de Astrofisica de Canarias ; Johns Hopkins University ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Lawrence Berkeley National 9 Laboratory ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; National Astronomical Observatories of China ; New Mexico State University ; New York University ; University of Notre Dame ; Observatario Nacional/MCTI ; Ohio State University ; Pennsylvania State University ; Shanghai Astronomical Observatory ; United Kingdom Participation Group ; Universidad Nacional Autonoma de Mexico ; University of Arizona ; University of Colorado Boulder ; University of Oxford ; University of Portsmouth ; University of Utah ; University of Virginia ; University of Washington ; University of Wisconsin ; Vanderbilt University ; Yale University
WOS关键词ROBUST MORPHOLOGICAL CLASSIFICATION ; SUPPORT VECTOR MACHINES ; ATMOSPHERIC PARAMETERS ; RANDOM FOREST ; FIELD ; RELEASE ; CATALOG
WOS研究方向Astronomy & Astrophysics
语种英语
出版者IOP PUBLISHING LTD
WOS记录号WOS:000453475100001
资助机构National Program on Key Research and Development Project ; National Program on Key Research and Development Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; NASA ; NASA ; NASA Office of Space Science ; NASA Office of Space Science ; National Development and Reform Commission ; National Development and Reform Commission ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; Brazilian Participation Group ; Brazilian Participation Group ; Carnegie Institution for Science ; Carnegie Institution for Science ; Carnegie Mellon University ; Carnegie Mellon University ; Chilean Participation Group ; Chilean Participation Group ; French Participation Group ; French Participation Group ; Harvard-Smithsonian Center for Astrophysics ; Harvard-Smithsonian Center for Astrophysics ; Instituto de Astrofisica de Canarias ; Instituto de Astrofisica de Canarias ; Johns Hopkins University ; Johns Hopkins University ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Lawrence Berkeley National 9 Laboratory ; Lawrence Berkeley National 9 Laboratory ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; National Astronomical Observatories of China ; National Astronomical Observatories of China ; New Mexico State University ; New Mexico State University ; New York University ; New York University ; University of Notre Dame ; University of Notre Dame ; Observatario Nacional/MCTI ; Observatario Nacional/MCTI ; Ohio State University ; Ohio State University ; Pennsylvania State University ; Pennsylvania State University ; Shanghai Astronomical Observatory ; Shanghai Astronomical Observatory ; United Kingdom Participation Group ; United Kingdom Participation Group ; Universidad Nacional Autonoma de Mexico ; Universidad Nacional Autonoma de Mexico ; University of Arizona ; University of Arizona ; University of Colorado Boulder ; University of Colorado Boulder ; University of Oxford ; University of Oxford ; University of Portsmouth ; University of Portsmouth ; University of Utah ; University of Utah ; University of Virginia ; University of Virginia ; University of Washington ; University of Washington ; University of Wisconsin ; University of Wisconsin ; Vanderbilt University ; Vanderbilt University ; Yale University ; Yale University ; National Program on Key Research and Development Project ; National Program on Key Research and Development Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; NASA ; NASA ; NASA Office of Space Science ; NASA Office of Space Science ; National Development and Reform Commission ; National Development and Reform Commission ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; Brazilian Participation Group ; Brazilian Participation Group ; Carnegie Institution for Science ; Carnegie Institution for Science ; Carnegie Mellon University ; Carnegie Mellon University ; Chilean Participation Group ; Chilean Participation Group ; French Participation Group ; French Participation Group ; Harvard-Smithsonian Center for Astrophysics ; Harvard-Smithsonian Center for Astrophysics ; Instituto de Astrofisica de Canarias ; Instituto de Astrofisica de Canarias ; Johns Hopkins University ; Johns Hopkins University ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Lawrence Berkeley National 9 Laboratory ; Lawrence Berkeley National 9 Laboratory ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; National Astronomical Observatories of China ; National Astronomical Observatories of China ; New Mexico State University ; New Mexico State University ; New York University ; New York University ; University of Notre Dame ; University of Notre Dame ; Observatario Nacional/MCTI ; Observatario Nacional/MCTI ; Ohio State University ; Ohio State University ; Pennsylvania State University ; Pennsylvania State University ; Shanghai Astronomical Observatory ; Shanghai Astronomical Observatory ; United Kingdom Participation Group ; United Kingdom Participation Group ; Universidad Nacional Autonoma de Mexico ; Universidad Nacional Autonoma de Mexico ; University of Arizona ; University of Arizona ; University of Colorado Boulder ; University of Colorado Boulder ; University of Oxford ; University of Oxford ; University of Portsmouth ; University of Portsmouth ; University of Utah ; University of Utah ; University of Virginia ; University of Virginia ; University of Washington ; University of Washington ; University of Wisconsin ; University of Wisconsin ; Vanderbilt University ; Vanderbilt University ; Yale University ; Yale University ; National Program on Key Research and Development Project ; National Program on Key Research and Development Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; NASA ; NASA ; NASA Office of Space Science ; NASA Office of Space Science ; National Development and Reform Commission ; National Development and Reform Commission ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; Brazilian Participation Group ; Brazilian Participation Group ; Carnegie Institution for Science ; Carnegie Institution for Science ; Carnegie Mellon University ; Carnegie Mellon University ; Chilean Participation Group ; Chilean Participation Group ; French Participation Group ; French Participation Group ; Harvard-Smithsonian Center for Astrophysics ; Harvard-Smithsonian Center for Astrophysics ; Instituto de Astrofisica de Canarias ; Instituto de Astrofisica de Canarias ; Johns Hopkins University ; Johns Hopkins University ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Lawrence Berkeley National 9 Laboratory ; Lawrence Berkeley National 9 Laboratory ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; National Astronomical Observatories of China ; National Astronomical Observatories of China ; New Mexico State University ; New Mexico State University ; New York University ; New York University ; University of Notre Dame ; University of Notre Dame ; Observatario Nacional/MCTI ; Observatario Nacional/MCTI ; Ohio State University ; Ohio State University ; Pennsylvania State University ; Pennsylvania State University ; Shanghai Astronomical Observatory ; Shanghai Astronomical Observatory ; United Kingdom Participation Group ; United Kingdom Participation Group ; Universidad Nacional Autonoma de Mexico ; Universidad Nacional Autonoma de Mexico ; University of Arizona ; University of Arizona ; University of Colorado Boulder ; University of Colorado Boulder ; University of Oxford ; University of Oxford ; University of Portsmouth ; University of Portsmouth ; University of Utah ; University of Utah ; University of Virginia ; University of Virginia ; University of Washington ; University of Washington ; University of Wisconsin ; University of Wisconsin ; Vanderbilt University ; Vanderbilt University ; Yale University ; Yale University ; National Program on Key Research and Development Project ; National Program on Key Research and Development Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; NASA ; NASA ; NASA Office of Space Science ; NASA Office of Space Science ; National Development and Reform Commission ; National Development and Reform Commission ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; Brazilian Participation Group ; Brazilian Participation Group ; Carnegie Institution for Science ; Carnegie Institution for Science ; Carnegie Mellon University ; Carnegie Mellon University ; Chilean Participation Group ; Chilean Participation Group ; French Participation Group ; French Participation Group ; Harvard-Smithsonian Center for Astrophysics ; Harvard-Smithsonian Center for Astrophysics ; Instituto de Astrofisica de Canarias ; Instituto de Astrofisica de Canarias ; Johns Hopkins University ; Johns Hopkins University ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo ; Lawrence Berkeley National 9 Laboratory ; Lawrence Berkeley National 9 Laboratory ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Leibniz Institut fur Astrophysik Potsdam (AIP) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astronomie (MPIA Heidelberg) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Astrophysik (MPA Garching) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; Max-Planck-Institut fur Extraterrestrische Physik (MPE) ; National Astronomical Observatories of China ; National Astronomical Observatories of China ; New Mexico State University ; New Mexico State University ; New York University ; New York University ; University of Notre Dame ; University of Notre Dame ; Observatario Nacional/MCTI ; Observatario Nacional/MCTI ; Ohio State University ; Ohio State University ; Pennsylvania State University ; Pennsylvania State University ; Shanghai Astronomical Observatory ; Shanghai Astronomical Observatory ; United Kingdom Participation Group ; United Kingdom Participation Group ; Universidad Nacional Autonoma de Mexico ; Universidad Nacional Autonoma de Mexico ; University of Arizona ; University of Arizona ; University of Colorado Boulder ; University of Colorado Boulder ; University of Oxford ; University of Oxford ; University of Portsmouth ; University of Portsmouth ; University of Utah ; University of Utah ; University of Virginia ; University of Virginia ; University of Washington ; University of Washington ; University of Wisconsin ; University of Wisconsin ; Vanderbilt University ; Vanderbilt University ; Yale University ; Yale University
内容类型期刊论文
源URL[http://ir.bao.ac.cn/handle/114a11/23858]  
专题中国科学院国家天文台
通讯作者Bai, Yu
作者单位1.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, 20A Datun Rd, Beijing 100012, Peoples R China
2.Univ Chinese Acad Sci, Coll Astron & Space Sci, Beijing 100049, Peoples R China
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GB/T 7714
Bai, Yu,Liu, JiFeng,Wang, Song,et al. Machine Learning Applied to Star-Galaxy-QSO Classification and Stellar Effective Temperature Regression[J]. ASTRONOMICAL JOURNAL,2019,157(1):9.
APA Bai, Yu,Liu, JiFeng,Wang, Song,&Yang, Fan.(2019).Machine Learning Applied to Star-Galaxy-QSO Classification and Stellar Effective Temperature Regression.ASTRONOMICAL JOURNAL,157(1),9.
MLA Bai, Yu,et al."Machine Learning Applied to Star-Galaxy-QSO Classification and Stellar Effective Temperature Regression".ASTRONOMICAL JOURNAL 157.1(2019):9.
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