English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/persons/resource/persons205385

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

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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: http://hdl.handle.net/21.11116/0000-0002-0AF1-3
Abstract
There is no abstract available