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  Predicting the neutral hydrogen content of galaxies from optical data using machine learning

Rafieferantsoa, M., Andrianomena, S., & Davé, R. (2018). Predicting the neutral hydrogen content of galaxies from optical data using machine learning. Monthly Notices of the Royal Astronomical Society, 479(4), 4509-4525. doi:10.1093/mnras/sty1777.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-0AF1-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-0AF2-2
Genre: Journal Article

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 Creators:
Rafieferantsoa, Mika1, Author              
Andrianomena, Sambatra, Author
Davé, Romeel, Author
Affiliations:
1Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              

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Language(s): eng - English
 Dates: 2018-10
 Publication Status: Published in print
 Pages: -
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 Rev. Method: Peer
 Identifiers: DOI: 10.1093/mnras/sty1777
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Title: Monthly Notices of the Royal Astronomical Society
  Abbreviation : Mon. Not. Roy. Astron. Soc.
Source Genre: Journal
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Pages: - Volume / Issue: 479 (4) Sequence Number: - Start / End Page: 4509 - 4525 Identifier: ISSN: 0035-8711
ISSN: 1365-8711