Documentation scienceplus.abes.fr version Bêta

À propos de : Identification of red high proper-motion objects in Tycho-2 and 2MASS catalogues using Virtual Observatory tools        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Identification of red high proper-motion objects in Tycho-2 and 2MASS catalogues using Virtual Observatory tools
Date
has manifestation of work
related by
Author
Abstract
  • Aims. With available Virtual Observatory tools, we looked for new M dwarfs in the solar neighbourhood and M giants with high tangential velocities. Methods. From an all-sky cross-match between the optical Tycho-2 and the near-infrared 2MASS catalogues, we selected objects with proper motions μ  >  50 mas yr -1 and very red VT −  Ks colours. For the most interesting targets, we collected multi-wavelength photometry, constructed spectral energy distributions, estimated effective temperatures and surface gravities from fits to atmospheric models, performed time-series analysis of ASAS V-band light curves, and assigned spectral types from low-resolution spectroscopy obtained with CAFOS at the 2.2 m Calar Alto telescope. Results. We got a sample of 59 bright red high proper-motion objects, including fifty red giants, four red dwarfs, and five objects reported in this work for the first time. The five new stars have magnitudes VT  ≈  10.8-11.3 mag, reduced proper motions midway between known dwarfs and giants, near-infrared colours typical of giants, and effective temperatures Teff  ≈  2900-3400 K. From our time-series analysis, we discovered a long secondary period in Ruber 4 and an extremely long primary period in Ruber 6. With the CAFOS spectra, we confirmed the red giant nature of Ruber 7 and 8, the last of which seems to be one of the brightest metal-poor M giants ever identified.
article type
publisher identifier
  • aa18375-11
Date Copyrighted
Rights
  • © ESO, 2012
Rights Holder
  • ESO
is part of this journal
is primary topic of



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata