The VVV Templates Project

dc.catalogadorpau
dc.contributor.authorContreras Ramos, R.
dc.contributor.authorCatelan, Marcio
dc.contributor.authorGran, F.
dc.contributor.authorNavarrete, C.
dc.contributor.authorAngeloni, R.
dc.contributor.authorAlonso-García, J.
dc.contributor.authorDékány, I.
dc.contributor.authorHajdu, G.
dc.contributor.authorHempel, M.
dc.contributor.authorJordán, A.
dc.contributor.authorTownsend, B.
dc.contributor.authorBorissova, J.
dc.contributor.authorNavarro, C.
dc.contributor.authorPichara, K.
dc.contributor.authorEyheramendy, S.
dc.date.accessioned2024-03-05T15:14:42Z
dc.date.available2024-03-05T15:14:42Z
dc.date.issued2014
dc.description.abstractUntil now, stellar variability in the near-IR has been a relatively ill-explored research field. In particular, the number of high-quality light curves is very limited and, even worse, many variability classes have not yet been observed in a sufficiently extensive way in the near-IR, so that good light curves are entirely lacking for some such classes. Since VVV is the first ever large survey dedicated to stellar variability in the near-infrared, the first problem we had to face has thus been the construction of a proper statistically significant database of high-quality (i.e., template) near-IR light curves for a significant sample of stars taken to be representative of the different variability classes under study. The main purpose of the VVV Templates Project is thus to build a large database of well-defined, high-quality, near-IR light curves for variable stars of different types, which will form the basis of the VVV automated classification algorithms...
dc.fuente.origenORCID
dc.identifier.urihttps://www.redalyc.org/articulo.oa?id=57121297140
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/84009
dc.information.autorucInstituto de Astrofísica; Catelan , Marcio; 0000-0001-6003-8877; 1001556
dc.language.isoen
dc.nota.accesocontenido completo
dc.rightsacceso abierto
dc.titleThe VVV Templates Project
dc.typepreprint
sipa.codpersvinculados1001556
sipa.trazabilidadORCID;2024-01-22
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