A White Dwarf catalogue from Gaia-DR2 and the Virtual Observatory
F. M. Jim\'enez-Esteban, S. Torres, A. Rebassa-Mansergas, G., Skorobogatov, E. Solano, C. Cantero, C. Rodrigo

TL;DR
This paper presents a comprehensive Gaia-DR2 white dwarf catalogue, analyzing their properties and distributions, and deriving physical parameters using Virtual Observatory tools, significantly expanding the known local white dwarf sample.
Contribution
The study provides the largest volume-limited white dwarf sample within 100 pc, including detailed physical parameters and insights into their population characteristics and core compositions.
Findings
Gaia has identified nearly all white dwarfs within 100 pc.
The catalogue includes 8,555 white dwarfs within 100 pc, the most complete volume-limited sample to date.
The population is dominated by cool and massive white dwarfs, with a significant fraction having uncertain atmospheric compositions.
Abstract
We present a catalogue of 73,221 white dwarf candidates extracted from the astrometric and photometric data of the recently published Gaia DR2 catalogue. White dwarfs were selected from the Gaia Hertzsprung-Russell diagram with the aid of the most updated population synthesis simulator. Our analysis shows that Gaia has virtually identified all white dwarfs within 100 pc from the Sun. Hence, our sub-population of 8,555 white dwarfs within this distance limit and the colour range considered, , is the largest and most complete volume-limited sample of such objects to date. From this sub-sample we identified 8,343 CO-core and 212 ONe-core white dwarf candidates and derived a white dwarf space density of . A bifurcation in the Hertzsprung-Russell diagram for these sources, which our models do not predict, is clearly…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
