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Journal Article

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

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Rafieferantsoa,  Mika
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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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.


Cite as: https://hdl.handle.net/21.11116/0000-0002-0AF1-3
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