Nearby young moving groups with machine learning

Nearby young stellar moving groups have been identified by many research groups with different methods and criteria, giving rise to caution regarding the reality of some groups. We aim to utilize moving groups in an unbiased way to create a list of unambiguously recognizable moving groups and their members. For the analysis, two unsupervised machine-learning algorithms (K-means and Agglomerative Clustering) are applied to previously known bona fide members of nine moving groups from our previous study. As a result of this study, we recovered six previously known groups (AB Doradus, Argus, {beta} Pic, Carina, TWA and Volans-Carina). Three other known groups are recognized as well; however, they are combined into two new separate groups (ThOr+Columba and TucHor+Columba).

Cone search capability for table J/MNRAS/489/2189/table2 (bona fide members of the newly defined groups)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/489/2189
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/489/2189
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/489/2189
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/489/2189
Provenance
Creator Lee J.; Song I.
Publisher CDS
Publication Year 2023
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy