Volume 562, February 2014
|Number of page(s)||15|
|Section||Catalogs and data|
|Published online||17 February 2014|
Mining the VVV: star formation and embedded clusters
University of Helsinki, Department of Computer
Science, PO Box
University of Helsinki,
2 Finnish Centre for Astronomy with ESO, University of Turku, Väisäläntie 20, 21500 Piikkiö, Finland
3 University of Helsinki, Department of Physics, Division of Geophysics and Astronomy, PO Box 64, 00014 University of Helsinki, Finland
Received: 22 October 2013
Accepted: 20 December 2013
Aims. We aim to locate previously unknown stellar clusters using the VISTA variables in the Vía Láctea Survey (VVV) catalogue data.
Methods. 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).
Results. 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 562 deg2 covered by VVV in the Galactic bulge and the southern disk.
Key words: open clusters and associations: general / methods: statistical / catalogs / surveys / infrared: stars
© ESO, 2014
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