Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning
author
Bazarov, A.
Benito Castano, Maria
Hütsi, Gert
Kipper, Rain
Pata, Joosep
Põder, Sven
statement of authorship
A. Bazarov, M. Benito, G. Hütsi, R. Kipper, J. Pata, S. Põder
source
Astronomy and Computing
publisher
Elsevier
journal volume number month
vol. 41
year of publication
2022
pages
art. 100667, 10 p. : ill
url
https://doi.org/10.1016/j.ascom.2022.100667
subject term
Linnutee
galaktikad
tehisõpe
tumeaine
keyword
Machine learning
Dark matter
Dark subhalos
Gaia mission
Milky Way
ISSN
2213-1337
notes
Põder, Sven oli 2021-2025 TalTech loodusteaduskonna küberneetika instituudi doktorant
Bibliogr. p. 9-10
classifier
1.1
TalTech department
küberneetika instituut
language
inglise