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Finding quadruply imaged quasars with machine learning – I. Methods.

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Title: Finding quadruply imaged quasars with machine learning – I. Methods.
Authors: Akhazhanov, A1,2, More, A3,4, Amini, A5, Hazlett, C5,6, Treu, T7, tt@astro.ucla.edu, Birrer, S8, Shajib, A9, Liao, K10, Lemon, C11, Agnello, A12, Nord, B9,13,14, Aguena, M15, Allam, S13, Andrade-Oliveira, F15,16, Annis, J13, Brooks, D17, Buckley-Geer, E9,13, Burke, D L18,19, Carnero Rosell, A15, Carrasco Kind, M20,21
Source: Monthly Notices of the Royal Astronomical Society; Jun2022, Vol. 522 Issue 2, p2407-2421, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Notices+of+the+Royal+Astronomical+Society%22">Monthly Notices of the Royal Astronomical Society</searchLink>; Jun2022, Vol. 522 Issue 2, p2407-2421, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157011804
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              Text: Jun2022
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