VVV: star formation and embedded clusters

DOI

We aim to locate previously unknown stellar clusters using the VISTA variables in the Via Lactea Survey (VVV) catalogue data. The method fits a mixture model of Gaussian densities and background noise and uses the expectation maximization algorithm to pre-filtered near-infrared survey stellar catalogue data; it was developed by the authors for the UKIDSS Galactic Plane Survey (GPS). The search located 88 previously unknown candidates, most of which are embedded stellar cluster candidates, and 39 previously unknown sites of star formation in the 562deg^2^ covered by VVV in the Galactic bulge and the southern disk.

Cone search capability for table J/A+A/562/A115/sources (Sources of interest found in the VISTA Variables in the Via Lactea Survey (VVV): cluster candidates, star formation candidates, faint nebulae and other sources)

Identifier
DOI http://doi.org/10.26093/cds/vizier.35620115
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+A/562/A115
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/562/A115
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/562/A115
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+A/562/A115
Provenance
Creator Solin O.; Haikala L.; Ukkonen E.
Publisher CDS
Publication Year 2014
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; Cosmology; Natural Sciences; Physics; Stellar Astronomy