A photometric selection of White Dwarf candidates in SDSS DR10
Nicola Pietro Gentile Fusillo, Boris T. Gaensicke, Sandra Greiss

TL;DR
This paper introduces a photometric method to select white dwarf candidates in SDSS data by calculating a probability score, enabling identification without spectroscopy and revealing many previously unconfirmed white dwarfs.
Contribution
The authors develop a novel probabilistic selection method based on colour and proper motion, applicable to large surveys, improving white dwarf candidate identification efficiency.
Findings
Identified approximately 23,000 high-fidelity white dwarf candidates.
Discovered over 14,000 new high-confidence white dwarf candidates.
Revealed that SDSS spectroscopic coverage of white dwarfs is about 40% complete.
Abstract
We present a method which uses cuts in colour-colour and reduced proper motion-colour space to select white dwarfs without the recourse to spectroscopy while allowing an adjustable compromise between completeness and efficiency. Rather than just producing a list of white dwarf candidates, our method calculates a probability of being a white dwarf (Pwd) for any object with available multi band photometry and proper motion. We applied this method to all objects in the SDSS DR10 photometric footprint and to a few selected sources in DR7 which did not have reliable photometry in DR9 or DR10. This application results in a sample of 61969 DR10 and 3799 DR7 photometric sources with calculated Pwd from which it is possible to select a sample of ~23000 high-fidelity white dwarf candidates with Teff >~ 7000 K and <= 19. This sample contains over 14000 high confidence white dwarfs candidates which…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysical Phenomena and Observations
