We search for photometric variability in more than 23 000 known and candidate white dwarfs (WDs), the largest ultraviolet survey compiled for a single study of WDs.We use GPHOTON, a publicly available calibration/reduction pipeline, to generate time-series photometry of WDs observed by GALEX. By implementing a system of weighted metrics, we select sources with variability due to pulsations and eclipses. Although GALEX observations have short baselines (.30 min), we identify intrinsic variability in sources as faint as Gaia G = 20 mag. With our ranking algorithm, we identify 48 new variable WDs in archival GALEX observations. We detect 40 new pulsators: 36 have hydrogen-dominated atmospheres (DAVs), including one possible massive DAV, and four are helium-dominated pulsators (DBVs). We also detect eight new eclipsing systems; five are new discoveries, and three were previously known spectroscopic binaries.We perform synthetic injections of the light curve of WD 1145+017, a system with known transiting debris, to test our ability to recover similar systems.We find that the 3σ maximum occurrence rate of WD 1145+017-like transiting objects is ≤0.5 per cent.
CITATION STYLE
Rowan, D. M., Tucker, M. A., Shappee, B. J., & Hermes, J. J. (2019). Detections and constraints on white dwarf variability from time-series GALEX observations. Monthly Notices of the Royal Astronomical Society, 486(4), 4574–4589. https://doi.org/10.1093/mnras/stz1116
Mendeley helps you to discover research relevant for your work.