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Photo of Paul McMillan

Paul McMillan

Researcher

Photo of Paul McMillan

Climbing the cosmic ladder with stellar twins in RAVE with Gaia

Author

  • P. Jofré
  • G. Traven
  • K. Hawkins
  • G. Gilmore
  • J. L. Sanders
  • T. Mädler
  • M. Steinmetz
  • A. Kunder
  • G. Kordopatis
  • P. McMillan
  • O. Bienaymé
  • J. Bland-Hawthorn
  • B. K. Gibson
  • E. K. Grebel
  • U. Munari
  • J. E. J. Garcia Navarro
  • Q. A. Parker
  • W. A. Reid
  • G. Seabroke
  • T. Zwitter

Summary, in English

We apply the twin method to determine parallaxes to 232 545 stars of the RAVE survey using the parallaxes of Gaia DR1 as a reference. To search for twins in this large data set, we apply the t-student stochastic neighbour embedding projection that distributes the data according to their spectral morphology on a two-dimensional map. From this map, we choose the twin candidates for which we calculate a χ2 to select the best sets of twins. Our results show a competitive performance when compared to other model-dependent methods relying on stellar parameters and isochrones. The power of the method is shown by finding that the accuracy of our results is not significantly affected if the stars are normal or peculiar since the method is model free. We find twins for 60 per cent of the RAVE sample that are not contained in Tycho-Gaia Astrometric Solution (TGAS) or that have TGAS uncertainties that are larger than 20 per cent. We could determine parallaxes with typical errors of 28 per cent. We provide a complementary data set for the RAVE stars not covered by TGAS, or that have TGAS uncertainties which are larger than 20 per cent, with model-free parallaxes scaled to the Gaia measurements.

Department/s

  • Lund Observatory

Publishing year

2017

Language

English

Pages

2517-2533

Publication/Series

Monthly Notices of the Royal Astronomical Society

Volume

472

Issue

3

Document type

Journal article

Publisher

Oxford University Press

Topic

  • Astronomy, Astrophysics and Cosmology

Keywords

  • Methods:statistical
  • Stars:distances
  • Techniques:spectroscopic

Status

Published

ISBN/ISSN/Other

  • ISSN: 0035-8711