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In Gentile Fusillo et al. (2015) we developed a selection method for whitedwarf candidates which makes use of photometry, colours and proper motions tocalculate a probability of being a white dwarf (Pwd). The application of ourmethod to the Sloan Digital Sky Survey (SDSS) data release 10 resulted innearly 66,000 photometrically selected objects with a derived Pwd,approximately 21000 of which are high confidence white dwarf candidates. Herewe present an independent test of our selection method based on a sample ofspectroscopically confirmed white dwarfs from the LAMOST (Large Sky AreaMulti-Fiber Spectroscopic Telescope) survey. We do this by cross matching allour $\sim$66,000 SDSS photometric white dwarf candidates with the over 4million spectra available in the third data release of LAMOST. This results in1673 white dwarf candidates with no previous SDSS spectroscopy, but withavailable LAMOST spectra. Among these objects we identify 309 genuine whitedwarfs. We find that our Pwd can efficiently discriminate between confirmedLAMOST white dwarfs and contaminants. Our white dwarf candidate selectionmethod can be applied to any multi-band photometric survey and in this work weconclusively confirm its reliability in selecting white dwarfs without recourseto spectroscopy. We also discuss the spectroscopic completeness of white dwarfsin LAMOST, as well as deriving effective temperatures, surface gravities andmasses for the hydrogen-rich atmosphere white dwarfs in the newly identifiedLAMOST sample.

An independent test of the photometric selection of white dwarf candidates using LAMOST DR3