Spectral classification of the 100 pc white dwarf population from Gaia-DR3 and the Virtual Observatory
F. M. Jim\'enez-Esteban, S. Torres, A. Rebassa-Mansergas, P. Cruz, R., Murillo-Ojeda, E. Solano, C. Rodrigo, M. E. Camisassa

TL;DR
This study utilizes Gaia-DR3 spectra and the Virtual Observatory to classify and analyze the spectral types and evolutionary trends of approximately 100,000 white dwarfs within 100 parsecs, revealing detailed population characteristics.
Contribution
We developed an automated spectral classification method for Gaia white dwarfs achieving over 90% accuracy, and provided new insights into their spectral evolution and mass distribution.
Findings
DA WDs dominate the A branch of the HR diagram.
Non-DAs constitute 65% of the B branch.
The non-DA fraction peaks at 36% around 10,500 K.
Abstract
The third data release of Gaia has provided low resolution spectra for ~100,000 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 12,718 WDs within 100 pc from the Sun. The use of VOSA tool allowed us to perform an automated fitting of their spectral energy distributions to different atmospheric models. In particular, the use of spectrally derived J-PAS 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 5500 K. Our results show that, while the A branch of the Gaia WD Hertzsprung-Russell…
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