@Article{FerreiraLopesCCMHLAJBLHAPPSBBCMR:2020:VIVaVí,
               author = "Ferreira Lopes, Carlos Eduardo and Cross, N. J. G. and Catelan, M. 
                         and Minniti, D. and Hempel, M. and Lucas, P. W. and Angeloni, R. 
                         and Jablonski, Francisco Jos{\'e} and Braga, V. F. and Le{\~a}o, 
                         I. C. and Herpich, F. R. and Alonso-Garc{\'{\i}}a, J. and 
                         Papageorgiou, A. and Pichara, K. and Saito, R. K. and Bradley, A. 
                         J. and Beamin, J. C. and Cort{\'e}s, C. and Medeiros, J. R. de 
                         and Russell, Christopher M. P.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Uni ersity 
                         of Edinburgh} and {Pontificia Universidad Catolica de Chil} and 
                         {Millennium Institute of Astrophysics} and {Universidad Andres 
                         Bello} and {University of Hertfordshire} and {Universidad de La 
                         Serena} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Millennium Institute of Astrophysics} and {Universidade Federal 
                         do Rio Grande do Norte (UFRN)} and {Universidade de S{\~a}o Paulo 
                         (USP)} and {Millennium Institute of Astrophysics} and {Universidad 
                         Catolica de Chile} and {Millennium Institute of Astrophysics} and 
                         {Universidade Federal de Santa Catarina (UFSC)} and {University of 
                         Edinburgh} and {Universidad Autonoma de Chile} and {Universidad 
                         Metropolitana de la Educacion} and {Universidade Federal do Rio 
                         Grande do Norte (UFRN)} and {Universidad Catolica de Chile}",
                title = "The VISTA Variables in the V{\'{\i}}a L{\'a}ctea infrared 
                         variability catalogue (VIVA-I)",
              journal = "Royal Astronomical Society. Monthly Notices",
                 year = "2020",
               volume = "496",
               number = "2",
                pages = "1730--1756",
             keywords = "catalogues – survey – methods: data analysis – methods: 
                         statistical – astronomical data bases: miscellaneous – stars: 
                         variables: general.",
             abstract = "High extinction and crowding create a natural limitation for 
                         optical surveys towards the central regions of the Milky Way, 
                         where the gas and dust are mainly confined. Large-scale 
                         near-infrared (IR) surveys of the Galactic plane and bulge are a 
                         good opportunity to explore open scientific questions as well as 
                         to test our capability to explore future data sets efficiently. 
                         Thanks to the VISTA Variables in the V´\ıa Lactea (VVV) ESO 
                         public survey, it is now possible to explore ´ a large number of 
                         objects in those regions. This paper addresses the variability 
                         analysis of all VVV point sources having more than 10 observations 
                         in VVVDR4 using a novel approach. In total, the near-IR light 
                         curves of 288 378 769 sources were analysed using methods 
                         developed in the New Insight Into Time Series Analysis project. As 
                         a result, we present a complete sample having 44 998 752 variable 
                         star candidates (VVV-CVSC), which include accurate individual 
                         coordinates, near-IR magnitudes (Z,Y,J, and Hs), extinctions 
                         A(Ks), variability indices, periods, amplitudes, among other 
                         parameters to assess the science. Unfortunately, a side effect of 
                         having a highly complete sample, is also having a high level of 
                         contamination by non-variable (contamination ratio of 
                         non-variables to variables is slightly over 10:1). To deal with 
                         this, we also provide some flags and parameters that can be used 
                         by the community to decrease the number of variable candidates 
                         without heavily decreasing the completeness of the sample. In 
                         particular, we cross-identified 339 601 of our sources with Simbad 
                         and AAVSO data bases, which provide us with information for these 
                         objects at other wavelengths. This subsample constitutes a unique 
                         resource to study the corresponding near-IR variability of known 
                         sources as well as to assess the IR variability related with X-ray 
                         and gamma-ray sources. On the other hand, the other \∼99.5 
                         per cent sources in our sample constitutes a number of potentially 
                         new objects with variability information for the heavily crowded 
                         and reddened regions of the Galactic plane and bulge. The present 
                         results also provide an important queryable resource to perform 
                         variability analysis and to characterize ongoing and future 
                         surveys like TESS and LSST.",
                  doi = "10.1093/mnras/staa1352",
                  url = "http://dx.doi.org/10.1093/mnras/staa1352",
                 issn = "0035-8711",
                label = "lattes: 4656875806985353 15 
                         BeaminAMPMSCCLRBPBJLCHLHA:2020:VIVaV{\'{\i}}",
             language = "en",
           targetfile = "lopes_vista.pdf",
        urlaccessdate = "13 maio 2024"
}