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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/43NH2C2
Repositorysid.inpe.br/plutao/2020/12.07.13.57
Last Update2020:12.09.15.26.37 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2020/12.07.13.57.16
Metadata Last Update2022:01.04.01.31.18 (UTC) administrator
DOI10.1093/mnras/staa1352
ISSN0035-8711
Labellattes: 4656875806985353 15 BeaminAMPMSCCLRBPBJLCHLHA:2020:VIVaVí
Citation KeyFerreiraLopesCCMHLAJBLHAPPSBBCMR:2020:VIVaVí
TitleThe VISTA Variables in the Vía Láctea infrared variability catalogue (VIVA-I)
Year2020
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size8709 KiB
2. Context
Author 1 Ferreira Lopes, Carlos Eduardo
 2 Cross, N. J. G.
 3 Catelan, M.
 4 Minniti, D.
 5 Hempel, M.
 6 Lucas, P. W.
 7 Angeloni, R.
 8 Jablonski, Francisco José
 9 Braga, V. F.
10 Leão, I. C.
11 Herpich, F. R.
12 Alonso-García, J.
13 Papageorgiou, A.
14 Pichara, K.
15 Saito, R. K.
16 Bradley, A. J.
17 Beamin, J. C.
18 Cortés, C.
19 Medeiros, J. R. de
20 Russell, Christopher M. P.
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JH4Q
ORCID 1 0000-0002-8525-7977
Group 1 AST-CEA-SESPG-INPE-MCTIC-GOV-BR
 2
 3
 4
 5
 6
 7
 8 DIDAS-CGCEA-INPE-MCTIC-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Uni ersity of Edinburgh
 3 Pontificia Universidad Catolica de Chil
 4 Millennium Institute of Astrophysics
 5 Universidad Andres Bello
 6 University of Hertfordshire
 7 Universidad de La Serena
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Millennium Institute of Astrophysics
10 Universidade Federal do Rio Grande do Norte (UFRN)
11 Universidade de São Paulo (USP)
12 Millennium Institute of Astrophysics
13 Universidad Catolica de Chile
14 Millennium Institute of Astrophysics
15 Universidade Federal de Santa Catarina (UFSC)
16 University of Edinburgh
17 Universidad Autonoma de Chile
18 Universidad Metropolitana de la Educacion
19 Universidade Federal do Rio Grande do Norte (UFRN)
20 Universidad Catolica de Chile
Author e-Mail Address 1 carlos.lopes@inpe.br
JournalRoyal Astronomical Society. Monthly Notices
Volume496
Number2
Pages1730-1756
History (UTC)2020-12-07 13:57:16 :: lattes -> administrator ::
2020-12-09 15:14:55 :: administrator -> lattes :: 2020
2020-12-09 15:26:38 :: lattes -> administrator :: 2020
2022-01-04 01:31:18 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordscatalogues – survey – methods: data analysis – methods: statistical – astronomical data bases: miscellaneous – stars: variables: general
AbstractHigh 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.
AreaCEA
Arrangement 1urlib.net > Fonds > Produção anterior à 2021 > DIDAS > The VISTA Variables...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > AST > The VISTA Variables...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/43NH2C2
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/43NH2C2
Languageen
Target Filelopes_vista.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ETR8EH
8JMKD3MGPCW/3F2NE4L
Citing Item Listsid.inpe.br/bibdigital/2013/10.01.00.07 3
sid.inpe.br/bibdigital/2013/10.12.16.06 3
DisseminationPORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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