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A White Dwarf catalogue from Gaia-DR2 and the Virtual Observatory (1807.02559v2)

Published 6 Jul 2018 in astro-ph.SR

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, $-\,0.52<(G_{\rm BP}-G_{\rm RP})<0.80$, 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 $4.9\pm0.4\times10{-3}\,{\rm pc{-3}}$. A bifurcation in the Hertzsprung-Russell diagram for these sources, which our models do not predict, is clearly visible. We used the Virtual Observatory tool VOSA to derive effective temperatures and luminosities for our sources by fitting their spectral energy distributions, that we built from the UV to the NIR using publicly available photometry through the Virtual Observatory. From these parameters, we derived the white dwarf radii. Interpolating the radii and effective temperatures in hydrogen-rich white dwarf cooling sequences, we derived the surface gravities and masses. The Gaia 100 pc white dwarf population is clearly dominated by cool ($\sim$ 8,000 K) objects and reveals a significant population of massive ($M \sim 0.8 M_{\odot}$) white dwarfs, of which no more than $\sim$ $30-40 \%$ can be attributed to hydrogen-deficient atmospheres, and whose origin remains uncertain.

Citations (65)

Summary

Catalogue of White Dwarf Candidates from Gaia-DR2 and the Virtual Observatory

This paper presents a comprehensive catalogue of white dwarf candidates extracted from the Gaia Data Release 2 (DR2) and analyzed with the Virtual Observatory. White dwarfs, as evolutionary endpoints of stars with masses ≤ 10 ± 2 M☉, are abundant yet significant for understanding stellar evolution and galactic history. Leveraging Gaia's outstanding astrometric and photometric capabilities, the authors have compiled a catalogue that promises to be a valuable resource for further astrophysical research.

Methodology

The catalogue was constructed using a Monte Carlo-based population synthesis simulator to identify white dwarfs from the Gaia Hertzsprung-Russell diagram, focusing on those within 100 pc of the Sun. The meticulous methodology involved modeling the synthetic population of white dwarfs across the different Galactic components, including the thin and thick disks and the halo. The paper demonstrates that Gaia, with its current capabilities, offers a nearly complete identification of all white dwarfs within this distance, ensuring a comprehensive sample that surpasses previous efforts both in size and accuracy.

Key Results

  • Catalogue Composition: The catalogue includes 73,221 white dwarf candidates, with a specific focus on 8,555 within the 100 pc radius. This represents the largest and most complete volume-limited sample currently available.
  • Density Estimation: From the sub-sample within 100 pc, a space density of $4.9\pm0.4\times10^{-3}\,{\rm pc^{-3}$ was derived, aligning with previous studies.
  • Bifurcation in the HR Diagram: The analysis revealed a bifurcation within the HR diagram, unanticipated by current models, highlighting discrepancies that could inspire future lines of inquiry.
  • Massive White Dwarf Population: The paper identifies an excess population of massive white dwarfs, not entirely attributable to hydrogen-deficient atmospheres and raising questions about their origins, potentially linked to binary mergers or other less explored mechanisms.

Implications and Future Research

The findings hold significant implications for theoretical models of white dwarf cooling sequences and Galactic evolution. The catalogue's depth and accuracy pave the way for future theoretical and observational studies, particularly in elucidating the formation and characteristics of massive white dwarfs as well as refining initial-to-final mass relation theories. The discrepancies observed, such as the bifurcation and excess mass issue, underscore the necessity for updated astrophysical models and may prompt new theoretical developments in stellar evolution and population synthesis.

Conclusion

By leveraging Gaia DR2's unsurpassed astrometric accuracy and integrating Virtual Observatory tools, this catalogue offers a transformative resource for astronomy. This work sets a new standard for white dwarf studies, both in the scope of data and methodological rigor, providing an empirical basis often lacking in theoretical models. The richness of this dataset encourages further scrutiny and promises to contribute substantially to our understanding of the Galaxy's stellar populations.

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