Classification of the 100pc WDs Virtual Observatory Resource

Authors
  1. Jimenez-Esteban F.M.
  2. Torres S.
  3. Rebassa-Mansergas A.
  4. Cruz P.,Murillo-Ojeda R.
  5. Solano E.
  6. Rodrigo C. Camisassa M.E.
  7. Published by
    CDS
Abstract

The third data release of Gaia has provided low-resolution spectra for ~100000 white dwarfs (WDs) that, together with the excellent photometry and astrometry, represent an unrivalled benchmark for the study of this population. In this work, we first built a highly complete volume-limited sample consisting in 12718 WDs within 100pc from the Sun. The use of Virtual Observatory Spectral energy distribution Analyzer tool allowed us to perform an automated fitting of their spectral energy distributions to different atmospheric models. In particular, the use of spectrally derived Javalambre-Physics of the Accelerating Universe Astrophysical Survey photometry from Gaia spectra led to the classification of DA and non-DA WDs with an accuracy >90%, tested in already spectroscopically labelled objects. The excellent performance achieved was extended to practically the whole population of WDs with effective temperatures above 5500K. Our results show that while the A branch of the Gaia WD Hertzsprung-Russell diagram is practically populated by DA WDs, the B branch is largely formed by non-DAs (65%). The remaining 35% of DAs within the B branch implies a second peak at ~0.8M_{sun}_ in the DA mass distribution. Additionally, the Q branch and its extension to lower temperatures can be observed for both DA and non-DA objects due to core crystallization. Finally, we derived a detailed spectral evolution function, which confirms a slow increase of the fraction of non-DAs as the effective temperature decreases down to 10500K, where it reaches a maximum of 36% and then decreases for lower temperatures down to ~31%.

Keywords
  1. White dwarf stars
  2. Stellar distance
  3. Effective temperature
  4. Stellar masses
  5. Stellar spectral types
  6. Photometry
  7. Optical astronomy
Bibliographic source Bibcode
2023MNRAS.518.5106J
See also HTML
https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/518/5106
IVOA Identifier IVOID
ivo://CDS.VizieR/J/MNRAS/518/5106

Access

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http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/518/5106
https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/518/5106
http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/518/5106
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http://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/518/5106/catalog?
https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/518/5106/catalog?
http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/518/5106/catalog?

History

2022-12-28T10:10:42Z
Resource record created
2022-12-28T10:10:42Z
Created
2023-01-18T06:11:20Z
Updated

Contact

Name
CDS support team
Postal Address
CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France
E-Mail
cds-question@unistra.fr