Low-mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3: Mapping the star forming regions within 1.5 kpc

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00567133" target="_blank" >RIV/68378271:_____/22:00567133 - isvavai.cz</a>
Result on the web
<a href="https://hdl.handle.net/11104/0338402" target="_blank" >https://hdl.handle.net/11104/0338402</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/0004-6361/202243580" target="_blank" >10.1051/0004-6361/202243580</a>

Result language
angličtina
Original language name
Low-mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3: Mapping the star forming regions within 1.5 kpc
Original language description
We described a method based on machine learning to identify low-mass stars in clusters of the GAIA eDR3 catalogue. We used it to produce a catalogue with low-mass stars identified within 1.5 Kpc in the galactic plane. Such a catalogue will be the starting point for the study of the characteristics/properties of galactic low-mass stars.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10308 - Astronomy (including astrophysics,space science)

Project
<a href="/en/project/GM21-16583M" target="_blank" >GM21-16583M: New avenues in the hunt for dark energy</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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