Program: GN-2013A-Q-89
Title: | Uncovering the faintest cataclysmic variables in the SDSS footprint |
PI: | Paula Szkody |
Co-I(s): | Pablo Rodriguez-Gil, Elme Breedt, Andrew Drake, Boris Gaensicke, Matthias Schreiber |
Abstract
Cataclysmic variables are an excellent benchmark population to test, calibrate, and develop binary population synthesis models. The Sloan Digital Sky Survey (SDSS) produced the deepest and most homogenous CV sample to date, highlighting the importance of the faintest systems to confirm and calibrate models. The spectroscopic completeness of SDSS plummets below i=19.1 however, and it is exactly in this range that the composition of the Galactic CV population undergoes a major change. Towards fainter magnitudes the fraction of low-luminosity systems increase and probably dominate the space density of CVs. We propose here to extend the depth of the SDSS CV sample by obtaining GMOS spectra of faint CV candidates in the SDSS footprint, to complement previous Gemini and GTC observations.
Publications using this program's data
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[data]
[ADS] 1000 cataclysmic variables from the Catalina Real-time Transient Survey