The WFCAM multiwavelength Variable Star Catalog

Context. Stellar variability in the near-infrared (NIR) remains largely unexplored. The exploitation of public science archives with data-mining methods offers a perspective for a time-domain exploration of the NIR sky. Aims. We perform a comprehensive search for stellar variability using the optic...

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Principais autores: Lopes, C. E. Ferreira, Dékány, I., Catelan, M., Cross, N. J. G., Angeloni, R., Leão, I. C., Medeiros, José Renan de
Formato: article
Idioma:English
Publicado em: EDP Sciences
Assuntos:
Stars: variables: general
Infrared: stars
Dust, extinction
Stars: formation
Techniques: photometric
Methods: analytical
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/29086
https://doi.org/10.1051/0004-6361/201423793
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spelling ri-123456789-290862020-05-31T07:53:13Z The WFCAM multiwavelength Variable Star Catalog Lopes, C. E. Ferreira Dékány, I. Catelan, M. Cross, N. J. G. Angeloni, R. Leão, I. C. Medeiros, José Renan de Stars: variables: general Infrared: stars Dust, extinction Stars: formation Techniques: photometric Methods: analytical Context. Stellar variability in the near-infrared (NIR) remains largely unexplored. The exploitation of public science archives with data-mining methods offers a perspective for a time-domain exploration of the NIR sky. Aims. We perform a comprehensive search for stellar variability using the optical-NIR multiband photometric data in the public Calibration Database of the WFCAM Science Archive (WSA), with the aim of contributing to the general census of variable stars and of extending the current scarce inventory of accurate NIR light curves for a number of variable star classes. Methods. Standard data-mining methods were applied to extract and fine-tune time-series data from the WSA. We introduced new variability indices designed for multiband data with correlated sampling, and applied them for preselecting variable star candidates, i.e., light curves that are dominated by correlated variations, from noise-dominated ones. Preselection criteria were established by robust numerical tests for evaluating the response of variability indices to the colored noise characteristic of the data. We performed a period search using the string-length minimization method on an initial catalog of 6551 variable star candidates preselected by variability indices. Further frequency analysis was performed on positive candidates using three additional methods in combination, in order to cope with aliasing. Results. We find 275 periodic variable stars and an additional 44 objects with suspected variability with uncertain periods or apparently aperiodic variation. Only 44 of these objects had been previously known, including 11 RR Lyrae stars on the outskirts of the globular cluster M 3 (NGC 5272). We provide a preliminary classification of the new variable stars that have well-measured light curves, but the variability types of a large number of objects remain ambiguous. We classify most of the new variables as contact binary stars, but we also find several pulsating stars, among which 34 are probably new field RR Lyrae, and 3 are likely Cepheids. We also identify 32 highly reddened variable objects close to previously known dark nebulae, suggesting that these are embedded young stellar objects. We publish our results and all light curve data as the WFCAM Variable Star Catalog. 2020-05-28T12:53:13Z 2020-05-28T12:53:13Z 2015 article MEDEIROS, José Renan de et al. The WFCAM multiwavelength Variable Star Catalog. Astronomy & Astrophysics (Berlin. Print), v. 573, p. A100, 2015. ISSN 1432-0746 versão online. DOI https://doi.org/10.1051/0004-6361/201423793. Disponível em: https://www.aanda.org/articles/aa/abs/2015/01/aa23793-14/aa23793-14.html. Acesso em: 28 maio 2020. Reproduzido com permissão da Astronomy & Astrophysics, © ESO. 0004-6361 (print), 1432-0746 (online) https://repositorio.ufrn.br/jspui/handle/123456789/29086 https://doi.org/10.1051/0004-6361/201423793 en application/pdf EDP Sciences
institution Repositório Institucional
collection RI - UFRN
language English
topic Stars: variables: general
Infrared: stars
Dust, extinction
Stars: formation
Techniques: photometric
Methods: analytical
spellingShingle Stars: variables: general
Infrared: stars
Dust, extinction
Stars: formation
Techniques: photometric
Methods: analytical
Lopes, C. E. Ferreira
Dékány, I.
Catelan, M.
Cross, N. J. G.
Angeloni, R.
Leão, I. C.
Medeiros, José Renan de
The WFCAM multiwavelength Variable Star Catalog
description Context. Stellar variability in the near-infrared (NIR) remains largely unexplored. The exploitation of public science archives with data-mining methods offers a perspective for a time-domain exploration of the NIR sky. Aims. We perform a comprehensive search for stellar variability using the optical-NIR multiband photometric data in the public Calibration Database of the WFCAM Science Archive (WSA), with the aim of contributing to the general census of variable stars and of extending the current scarce inventory of accurate NIR light curves for a number of variable star classes. Methods. Standard data-mining methods were applied to extract and fine-tune time-series data from the WSA. We introduced new variability indices designed for multiband data with correlated sampling, and applied them for preselecting variable star candidates, i.e., light curves that are dominated by correlated variations, from noise-dominated ones. Preselection criteria were established by robust numerical tests for evaluating the response of variability indices to the colored noise characteristic of the data. We performed a period search using the string-length minimization method on an initial catalog of 6551 variable star candidates preselected by variability indices. Further frequency analysis was performed on positive candidates using three additional methods in combination, in order to cope with aliasing. Results. We find 275 periodic variable stars and an additional 44 objects with suspected variability with uncertain periods or apparently aperiodic variation. Only 44 of these objects had been previously known, including 11 RR Lyrae stars on the outskirts of the globular cluster M 3 (NGC 5272). We provide a preliminary classification of the new variable stars that have well-measured light curves, but the variability types of a large number of objects remain ambiguous. We classify most of the new variables as contact binary stars, but we also find several pulsating stars, among which 34 are probably new field RR Lyrae, and 3 are likely Cepheids. We also identify 32 highly reddened variable objects close to previously known dark nebulae, suggesting that these are embedded young stellar objects. We publish our results and all light curve data as the WFCAM Variable Star Catalog.
format article
author Lopes, C. E. Ferreira
Dékány, I.
Catelan, M.
Cross, N. J. G.
Angeloni, R.
Leão, I. C.
Medeiros, José Renan de
author_facet Lopes, C. E. Ferreira
Dékány, I.
Catelan, M.
Cross, N. J. G.
Angeloni, R.
Leão, I. C.
Medeiros, José Renan de
author_sort Lopes, C. E. Ferreira
title The WFCAM multiwavelength Variable Star Catalog
title_short The WFCAM multiwavelength Variable Star Catalog
title_full The WFCAM multiwavelength Variable Star Catalog
title_fullStr The WFCAM multiwavelength Variable Star Catalog
title_full_unstemmed The WFCAM multiwavelength Variable Star Catalog
title_sort wfcam multiwavelength variable star catalog
publisher EDP Sciences
publishDate 2020
url https://repositorio.ufrn.br/jspui/handle/123456789/29086
https://doi.org/10.1051/0004-6361/201423793
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