Bazarov, A., Benito, M., Hütsi, G., Kipper, R., Pata, J., Põder, S.

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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

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Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastul

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