Selection of quasar candidates from combined radio and optical surveys using neural networks
Author:
Publisher
Oxford University Press (OUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://academic.oup.com/mnras/article-pdf/353/1/211/18656298/353-1-211.pdf
Reference22 articles.
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2. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Releases 6 to 9;The Astrophysical Journal Supplement Series;2023-03-01
3. DATA MINING AND MACHINE LEARNING IN ASTRONOMY;International Journal of Modern Physics D;2010-07
4. Use of neural networks for the identification of newz≥ 3.6 QSOs from FIRST-SDSS DR5;Monthly Notices of the Royal Astronomical Society;2008-11-21
5. Support vector machines and kd-tree for separating quasars from large survey data bases;Monthly Notices of the Royal Astronomical Society;2008-05
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