An independent test of the photometric selection of white dwarf candidates using LAMOST DR3
N. P. Gentile Fusillo, A. Rebassa-Mansergas, B. T. G\"ansicke, X.-W., Liu, J. J. Ren, D. Koester, Y. Zhan, Y. Hou, Y. Wang, M. Yang

TL;DR
This study independently tests a photometric white dwarf selection method using LAMOST spectroscopic data, confirming its effectiveness in identifying white dwarfs without relying on spectroscopy.
Contribution
It validates a previously developed photometric selection technique for white dwarfs by applying it to LAMOST data and confirming its reliability.
Findings
High efficiency in discriminating white dwarfs from contaminants
Confirmed 309 new white dwarfs in LAMOST sample
Demonstrated applicability of the method to other photometric surveys
Abstract
In Gentile Fusillo et al. (2015) we developed a selection method for white dwarf candidates which makes use of photometry, colours and proper motions to calculate a probability of being a white dwarf (Pwd). The application of our method to the Sloan Digital Sky Survey (SDSS) data release 10 resulted in nearly 66,000 photometrically selected objects with a derived Pwd, approximately 21000 of which are high confidence white dwarf candidates. Here we present an independent test of our selection method based on a sample of spectroscopically confirmed white dwarfs from the LAMOST (Large Sky Area Multi-Fiber Spectroscopic Telescope) survey. We do this by cross matching all our 66,000 SDSS photometric white dwarf candidates with the over 4 million spectra available in the third data release of LAMOST. This results in 1673 white dwarf candidates with no previous SDSS spectroscopy, but…
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