Catalogue of new Herbig Ae/Be and classical Be stars - A machine learning approach to Gaia DR2

Vioque, M, Oudmaijer, RD orcid.org/0000-0001-7703-3992, Schreiner, M et al. (4 more authors) (2020) Catalogue of new Herbig Ae/Be and classical Be stars - A machine learning approach to Gaia DR2. Astronomy & Astrophysics, 638. A21. ISSN 0004-6361

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © ESO 2020. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: catalogs; Hertzsprung-Russell and C-M diagrams; stars: emission-line; Be; stars: formation; stars: pre-main sequence; stars: variables: T Tauri; Herbig Ae/Be
Dates:
  • Published: 4 June 2020
  • Accepted: 27 April 2020
  • Published (online): 4 June 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) > Astrophysics (Leeds)
Funding Information:
FunderGrant number
EU - European Union676036
STFC (Science and Technology Facilities Council)ST/P005527/1
STFC (Science and Technology Facilities Council)ST/P00041X/1
STFC (Science and Technology Facilities Council)Not Known
Depositing User: Symplectic Publications
Date Deposited: 07 Jul 2020 13:52
Last Modified: 07 Jul 2020 13:52
Status: Published
Publisher: EDP Sciences
Identification Number: https://doi.org/10.1051/0004-6361/202037731
Related URLs:

Share / Export

Statistics