An Automated Tool to Detect Variable Sources in the Vista Variables in the Vía Láctea Survey: The VVV Variables (V4) Catalog of Tiles d001 and d002

N. Medina, J. Borissova, A. Bayo, R. Kurtev, C. Navarro Molina, M. Kuhn, N. Kumar, P. W. Lucas, M. Catelan, D. Minniti, L. C. Smith

Resultado de la investigación: Article

  • 2 Citas

Resumen

Time-varying phenomena are one of the most substantial sources of astrophysical information, and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search for and analyze variable sources in the near-infrared K s band using the data from the VISTA Variables in the Vía Láctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices calculated from time series generated with point-spread function (PSF) photometry of sources under analysis. In particular, we used two main indices, the total amplitude and the eta index η, to identify variable sources. Once the variable objects are identified, periods are determined with generalized Lomb-Scargle periodograms and the information potential metric. Variability classes are assigned according to a compromise between comparisons with VVV templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to the discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition, nine open-cluster candidates projected in the region are analyzed, and the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey Hα color cuts.

IdiomaEnglish
Número de artículo11
PublicaciónAstrophysical Journal
Volumen864
Número de edición1
DOI
EstadoPublished - 1 sep 2018

Huella dactilar

tiles
catalogs
astronomy
near infrared
time series
index
open clusters
point spread functions
European Southern Observatory
photometry
astrophysics
templates
color
stars

Keywords

    ASJC Scopus subject areas

    • Astronomy and Astrophysics
    • Space and Planetary Science

    Citar esto

    Medina, N. ; Borissova, J. ; Bayo, A. ; Kurtev, R. ; Navarro Molina, C. ; Kuhn, M. ; Kumar, N. ; Lucas, P. W. ; Catelan, M. ; Minniti, D. ; Smith, L. C. / An Automated Tool to Detect Variable Sources in the Vista Variables in the Vía Láctea Survey : The VVV Variables (V4) Catalog of Tiles d001 and d002. En: Astrophysical Journal. 2018 ; Vol. 864, N.º 1.
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    title = "An Automated Tool to Detect Variable Sources in the Vista Variables in the V{\'i}a L{\'a}ctea Survey: The VVV Variables (V4) Catalog of Tiles d001 and d002",
    abstract = "Time-varying phenomena are one of the most substantial sources of astrophysical information, and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search for and analyze variable sources in the near-infrared K s band using the data from the VISTA Variables in the V{\'i}a L{\'a}ctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices calculated from time series generated with point-spread function (PSF) photometry of sources under analysis. In particular, we used two main indices, the total amplitude and the eta index η, to identify variable sources. Once the variable objects are identified, periods are determined with generalized Lomb-Scargle periodograms and the information potential metric. Variability classes are assigned according to a compromise between comparisons with VVV templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to the discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition, nine open-cluster candidates projected in the region are analyzed, and the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey Hα color cuts.",
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    author = "N. Medina and J. Borissova and A. Bayo and R. Kurtev and {Navarro Molina}, C. and M. Kuhn and N. Kumar and Lucas, {P. W.} and M. Catelan and D. Minniti and Smith, {L. C.}",
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    Medina, N, Borissova, J, Bayo, A, Kurtev, R, Navarro Molina, C, Kuhn, M, Kumar, N, Lucas, PW, Catelan, M, Minniti, D & Smith, LC 2018, 'An Automated Tool to Detect Variable Sources in the Vista Variables in the Vía Láctea Survey: The VVV Variables (V4) Catalog of Tiles d001 and d002' Astrophysical Journal, vol. 864, n.º 1, 11. https://doi.org/10.3847/1538-4357/aacc65

    An Automated Tool to Detect Variable Sources in the Vista Variables in the Vía Láctea Survey : The VVV Variables (V4) Catalog of Tiles d001 and d002. / Medina, N.; Borissova, J.; Bayo, A.; Kurtev, R.; Navarro Molina, C.; Kuhn, M.; Kumar, N.; Lucas, P. W.; Catelan, M.; Minniti, D.; Smith, L. C.

    En: Astrophysical Journal, Vol. 864, N.º 1, 11, 01.09.2018.

    Resultado de la investigación: Article

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    T2 - Astrophysical Journal

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    AU - Borissova, J.

    AU - Bayo, A.

    AU - Kurtev, R.

    AU - Navarro Molina, C.

    AU - Kuhn, M.

    AU - Kumar, N.

    AU - Lucas, P. W.

    AU - Catelan, M.

    AU - Minniti, D.

    AU - Smith, L. C.

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    N2 - Time-varying phenomena are one of the most substantial sources of astrophysical information, and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search for and analyze variable sources in the near-infrared K s band using the data from the VISTA Variables in the Vía Láctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices calculated from time series generated with point-spread function (PSF) photometry of sources under analysis. In particular, we used two main indices, the total amplitude and the eta index η, to identify variable sources. Once the variable objects are identified, periods are determined with generalized Lomb-Scargle periodograms and the information potential metric. Variability classes are assigned according to a compromise between comparisons with VVV templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to the discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition, nine open-cluster candidates projected in the region are analyzed, and the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey Hα color cuts.

    AB - Time-varying phenomena are one of the most substantial sources of astrophysical information, and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search for and analyze variable sources in the near-infrared K s band using the data from the VISTA Variables in the Vía Láctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices calculated from time series generated with point-spread function (PSF) photometry of sources under analysis. In particular, we used two main indices, the total amplitude and the eta index η, to identify variable sources. Once the variable objects are identified, periods are determined with generalized Lomb-Scargle periodograms and the information potential metric. Variability classes are assigned according to a compromise between comparisons with VVV templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to the discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition, nine open-cluster candidates projected in the region are analyzed, and the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey Hα color cuts.

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    KW - open clusters and associations: general

    KW - stars: pre-main sequence

    KW - techniques: photometric

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