Overview of semi-sinusoidal stellar variability with the CoRoT satellite ↠â†â&dagger
Tipo
Artigo de revisão
Data de publicação
2013
Periódico
Astronomy and Astrophysics
Citações (Scopus)
35
Autores
De Medeiros J.R.
Ferreira Lopes C.E.
Leao I.C.
Canto Martins B.L.
Catelan M.
Baglin A.
Vieira S.
Bravo J.P.
Cortes C.
De Freitas D.B.
Janot-Pacheco E.
Maciel S.C.
Melo C.H.F.
Osorio Y.
Porto De Mello G.F.
Valio A.
Ferreira Lopes C.E.
Leao I.C.
Canto Martins B.L.
Catelan M.
Baglin A.
Vieira S.
Bravo J.P.
Cortes C.
De Freitas D.B.
Janot-Pacheco E.
Maciel S.C.
Melo C.H.F.
Osorio Y.
Porto De Mello G.F.
Valio A.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
Context. To date, the CoRoT space mission has produced more than 124 471 light curves. Classifying these curves in terms of unambiguous variability behavior is mandatory for obtaining an unbiased statistical view on their controlling root-causes. Aims. The present study provides an overview of semi-sinusoidal light curves observed by the CoRoT exo-field CCDs. Methods. We selected a sample of 4206 light curves presenting well-defined semi-sinusoidal signatures. The variability periods were computed based on Lomb-Scargle periodograms, harmonic fits, and visual inspection. Results. Color-period diagrams for the present sample show the trend of an increase of the variability periods as long as the stars evolve. This evolutionary behavior is also noticed when comparing the period distribution in the Galactic center and anti-center directions. These aspects indicate a compatibility with stellar rotation, although more information is needed to confirm their root-causes. Considering this possibility, we identified a subset of three Sun-like candidates by their photometric period. Finally, the variability period versus color diagram behavior was found to be highly dependent on the reddening correction. © 2013 ESO.
Descrição
Palavras-chave
Assuntos Scopus
Galactic Center , General-stars , Period distributions , Photometric , Stellar rotation , Techniques , Variables , Visual inspection