Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era

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SEEK ID: https://publications.h-its.org/publications/1164

SEEK ID: https://publications.h-its.org/publications/1164

DOI: 10.1093/mnras/staa1890

Research Groups: Astroinformatics

Publication type: Journal

Journal: Monthly Notices of the Royal Astronomical Society

Citation: Monthly Notices of the Royal Astronomical Society 497(3):2730-2758

Date Published: 1st Sep 2020

Registered Mode: by DOI

Authors: T J Galvin, M T Huynh, R P Norris, X R Wang, E Hopkins, K Polsterer, N O Ralph, A N O’Brien, G H Heald

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Galvin, T. J., Huynh, M. T., Norris, R. P., Wang, X. R., Hopkins, E., Polsterer, K., Ralph, N. O., O’Brien, A. N., & Heald, G. H. (2020). Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era. In Monthly Notices of the Royal Astronomical Society (Vol. 497, Issue 3, pp. 2730–2758). Oxford University Press (OUP). https://doi.org/10.1093/mnras/staa1890
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Created: 11th Jan 2021 at 12:31

Last updated: 5th Mar 2024 at 21:24

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