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Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning

author
statement of authorship
A. Bazarov, M. Benito, G. Hütsi, R. Kipper, J. Pata, S. Põder
source
Astronomy and Computing
publisher
journal volume number month
vol. 41
year of publication
pages
art. 100667, 10 p. : ill
url
ISSN
2213-1337
notes
Põder, Sven oli 2021-2025 TalTech loodusteaduskonna küberneetika instituudi doktorant
Bibliogr. p. 9-10
language
inglise
subject term
keyword
Machine learning
Dark matter
Dark subhalos
Gaia mission
Milky Way
Bazarov, A., Benito, M., Hütsi, G., Kipper, R., Pata, J., Põder, S. Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning // Astronomy and Computing (2022) vol. 41, art. 100667, 10 p. : ill. https://doi.org/10.1016/j.ascom.2022.100667