The miniJPAS survey: White dwarf science with 56 optical filters
C. L\'opez-Sanjuan, P.-E. Tremblay, A. Ederoclite, H. V\'azquez, Rami\'o, A. J. Cenarro, A. Mar\'in-Franch, J. Varela, S. Akras, M. A., Guerrero, F. M. Jim\'enez-Esteban, R. Lopes de Oliveira, A. L. Chies-Santos,, J. A. Fern\'andez-Ontiveros, R. Abramo, J. Alcaniz, N. Ben\'itez

TL;DR
The miniJPAS survey demonstrates that low-resolution optical photo-spectra can effectively classify and analyze white dwarf populations, estimating their temperatures, compositions, and detecting metals, thus enhancing white dwarf studies beyond Gaia's limits.
Contribution
This study shows that miniJPAS's 56-filter data enables accurate classification and characterization of white dwarfs, including temperature and composition, with potential to discover new faint white dwarfs.
Findings
White dwarfs classified with 99% confidence into H- and He-dominated types.
Effective temperature estimated with 2% uncertainty, comparable to spectroscopy.
Detection of calcium and metals in white dwarf atmospheres down to r ~ 21.5 mag.
Abstract
We analyze the white dwarf population in miniJPAS, the first square degree observed with 56 medium-band, 145 A in width optical filters by the Javalambre Physics of the accelerating Universe Astrophysical Survey (J-PAS), to provide a data-based forecast for the white dwarf science with low-resolution (R ~ 50) photo-spectra. We define the sample of the bluest point-like sources in miniJPAS with r < 21.5 mag, point-like probability larger than 0.5, (u-r) < 0.80 mag, and (g-i) < 0.25 mag. This sample comprises 33 sources with spectroscopic information, 11 white dwarfs and 22 QSOs. We estimate the effective temperature (Teff), the surface gravity, and the composition of the white dwarf population by a Bayesian fitting to the observed photo-spectra. The miniJPAS data permit the classification of the observed white dwarfs into H-dominated and He-dominated with 99% confidence, and the…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Adaptive optics and wavefront sensing · Astronomy and Astrophysical Research
