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Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks.

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Title: Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks.
Authors: Cheng, Ting-Yun1,2, ting-yun.cheng@durham.ac.uk, Conselice, Christopher J2,3, Aragón-Salamanca, Alfonso2, Aguena, M4,5, Allam, S6, Andrade-Oliveira, F5,7, Annis, J6, Bluck, A F L8,9, Brooks, D10, Burke, D L11,12, Carrasco Kind, M13,14, Carretero, J15, Choi, A16, Costanzi, M17,18,19, da Costa, L N5,20, Pereira, M E S21, De Vicente, J22, Diehl, H T6, Drlica-Wagner, A6,23,24, Eckert, K25
Source: Monthly Notices of the Royal Astronomical Society; Nov2021, Vol. 507 Issue 3, p4425-4444, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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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>; Nov2021, Vol. 507 Issue 3, p4425-4444, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152652285
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