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arXiv · 1710.08919

VIRAC: The VVV Infrared Astrometric Catalogue

L. C. Smith·P. W. Lucas·R. Kurtev·R. Smart·D. Minniti·J. Borissova·H. R. A Jones·Z. H. Zhang·F. Marocco·C. Contreras Peña·M. Gromadzki·M. A. Kuhn·J. E. Drew·D. J. Pinfield·L. R. Bedin
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Abstract

We present VIRAC version 1, a near-infrared proper motion and parallax catalogue of the VISTA VVV survey for 312,587,642 unique sources averaged across all overlapping pawprint and tile images covering 560 deg$^2$ of the bulge of the Milky Way and southern disk. The catalogue includes 119 million high quality proper motion measurements, of which 47 million have statistical uncertainties below 1 mas yr$^{-1}$. In the 11$<K_s<$14 magnitude range the high quality motions have a median uncertainty of 0.67 mas yr$^{-1}$. The catalogue also includes 6,935 sources with quality-controlled 5 $\sigma$ parallaxes with a median uncertainty of 1.1 mas. The parallaxes show reasonable agreement with the TYCHO-Gaia Astrometric Solution (TGAS), though caution is advised for data with modest significance. The SQL database housing the data is made available via the web. We give example applications for studies of Galactic structure, nearby objects (low mass stars and brown dwarfs, subdwarfs, white dwarfs) and kinematic distance measurements of YSOs. Nearby objects discovered include LTT 7251 B, an L7 benchmark companion to a G dwarf with over 20 published elemental abundances, a bright L sub-dwarf, VVV 1256-6202, with extremely blue colours and nine new members of the 25 pc sample. We also demonstrate why this catalogue remains useful in the era of Gaia. Future versions will be based on profile fitting photometry, use the Gaia absolute reference frame and incorporate the longer time baseline of the VVV extended survey (VVVX).

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L. C. Smith, P. W. Lucas, R. Kurtev, R. Smart, D. Minniti, J. Borissova, H. R. A Jones, Z. H. Zhang, F. Marocco, C. Contreras Peña, M. Gromadzki, M. A. Kuhn, J. E. Drew, D. J. Pinfield, L. R. Bedin. 2017-10-24. VIRAC: The VVV Infrared Astrometric Catalogue. https://doi.org/10.1093/mnras%2Fstx2789

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