@INPROCEEDINGS{2011rrls.conf..145C, author = {{Catelan}, M.{Minniti}, D.{Lucas}, P.~W.{Alonso-Garc{‘{i}}a}, J.{Angeloni}, R.{Beam{‘{i}}n}, J.~C.{Bonatto}, C.{Borissova}, J.{Contreras}, C.{Cross}, N.{D{‘e}k{‘a}any}, I.{Emerson}, J.~P.{Eyheramendy}, S.{Geisler}, D.{Gonz{‘a}lez-Solares}, E.{Helminiak}, K.~G.{Hempel}, M.{Irwin}, M.~J.{Ivanov}, V.~D.{Jord{‘a}n}, A.{Kerins}, E.{Kurtev}, R.{Mauro}, F.{Moni Bidin}, C.{Navarrete}, C.{P{‘e}rez}, P.{Pichara}, K.{Read}, M.{Rejkuba}, M.{Saito}, R.~K.{Sale}, S.~E.{Toledo}, I.}, title = “{The Vista Variables in the V{‘{i}}a L{‘a}ctea (VVV) ESO Public Survey: Current StatusFirst Results}”, booktitle = {RR Lyrae Stars, Metal-Poor Stars, and the Galaxy}, year = 2011, archivePrefix = “arXiv”, eprint = {1105.1119}, primaryClass = “astro-ph.GA”, editor = {{McWilliam}, A.}, month = aug, pages = {145}, adsurl = {http://adsabs.harvard.edu/abs/2011rrls.conf..145C}, adsnote = {Provided by the SAO/NASA Astrophysics Data System}} (2012)

The Vista Variables in the Via Lactea (VVV) ESO Public Survey: Current Status and First Results

Revista : RR Lyrae Stars, Metal-Poor Stars, and the Galaxy
Volumen : 5
Páginas : 145
Tipo de publicación : Revistas

Abstract

Vista Variables in the Via Lactea (VVV) is an ESO Public Survey that is performing a variability survey of the Galactic bulge and part of the inner disk using ESO’s Visible and Infrared Survey Telescope for Astronomy (VISTA). The survey covers 520 deg^2 of sky area in the ZYJHK_S filters, for a total observing time of 1929 hours, including ~ 10^9 point sources and an estimated ~ 10^6 variable stars. Here we describe the current status of the VVV Survey, in addition to a variety of new results based on VVV data, including light curves for variable stars, newly discovered globular clusters, open clusters, and associations. A set of reddening-free indices based on the ZYJHK_S system is also introduced. Finally, we provide an overview of the VVV Templates Project, whose main goal is to derive well-defined light curve templates in the near-IR, for the automated classification of VVV light curves.