Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 508, Issue 3, Pages 3877-3896Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab2672
Keywords
catalogues; surveys; white dwarfs
Categories
Funding
- European Research Council under the European Union's Horizon 2020 Framework Programme [677706]
- European Union's Horizon 2020 Framework Programme [101004214]
- Gaia Multilateral Agreement
- Alfred P. Sloan Foundation
- U.S. DOE Office of Science
- Center for High Performance Computing at the University of Utah
- SDSS Collaboration including the Brazilian Participation Group
- Carnegie Institution for Science, Carnegie Mellon University, Center for Astrophysics \ Harvard Smithsonian
- Chilean Participation Group
- French Participation Group
- Instituto de Astrofisica de Canarias
- Johns Hopkins University
- Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
- Korean Participation Group
- Lawrence Berkeley National Laboratory
- Leibniz Institut fur Astrophysik Potsdam (AIP)
- Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
- Max-Planck-Institut fur Extraterrestrische Physik (MPE)
- National Astronomical Observatories of China
- New Mexico State University
- New York University
- University of Notre Dame
- Observatario Nacional/MCTI
- Ohio State University
- Pennsylvania State University
- Shanghai Astronomical Observatory
- United Kingdom Participation Group
- Universidad Nacional Autonoma de Mexico
- University of Arizona
- University of Colorado Boulder
- University of Oxford
- University of Portsmouth
- University of Utah
- University of Virginia
- University of Washington
- University of Wisconsin
- Vanderbilt University
- Yale University
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [138713538 - SFB 881]
Ask authors/readers for more resources
In this study, a catalogue of white dwarf candidates was presented based on Gaia Early Data Release 3 (EDR3) and compared with samples from Sloan Digital Sky Survey (SDSS). The distribution of these candidates was mapped in the Gaia absolute magnitude-colour space, and a probability of being a white dwarf was calculated for over 1.3 million sources. High-confidence white dwarf candidates were selected based on these calculations and stellar parameters were estimated using synthetic atmospheric models. The catalogue was found to have an overall completeness limit of 93% for white dwarfs with G <= 20 mag and effective temperature (T-eff) > 7000 K at high Galactic latitudes.
We present a catalogue of white dwarf candidates selected from Gaia Early Data Release 3 (EDR3). We applied several selection criteria in absolute magnitude, colour, and Gaia quality flags to remove objects with unreliable measurements while preserving most stars compatible with the white dwarf locus in the Hertzspning-Russell diagram. We then used a sample of over 30 000 spectroscopically confirmed white dwarfs and contaminants from the Sloan Digital Sky Survey (SDSS) to map the distribution of these objects in the Gaia absolute magnitude-colour space. Finally, we adopt the same method presented in our previous work on Gaia Data Release 2 (DR2) to calculate a probability of being a white dwarf (P-WD ) for similar or equal to 1.3 million sources that passed our quality selection. The P-WD values can be used to select a sample of similar or equal to 359 000 high-confidence white dwarf candidates. We calculated stellar parameters (effective temperature, surface gravity, and mass) for all these stars by fitting Gaia astrometry and photometry with synthetic pure-H, pure-He, and mixed H-He atmospheric models. We estimate an upper limit of 93 per cent for the overall completeness of our catalogue for white dwarfs with G <= 20 mag and effective temperature (T-eff) > 7000 K, at high Galactic latitudes (vertical bar b vertical bar > 20 degrees). Alongside the main catalogue we include a reduced proper motion extension containing similar or equal to 10 200 white dwarf candidates with unreliable parallax measurements that could, however, be identified on the basis of their proper motion. We also performed a cross-match of our catalogues with SDSS Data Release 16 (DR16) spectroscopy and provide spectral classification based on visual inspection for all resulting matches.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available