Astronomy and Astrophysics – Astrophysics
Scientific paper
2005-12-19
Astron.J.131:1923-1933,2006
Astronomy and Astrophysics
Astrophysics
AJ, accepted for publication 15 Dec 2005
Scientific paper
10.1086/500585
We present variability and multi-wavelength photometric information for the 933 known quasars in the QUEST Variability Survey. These quasars are grouped into variable and non-variable populations based on measured variability confidence levels. In a time-limited synoptic survey, we detect an anti-correlation between redshift and the likelihood of variability. Our comparison of variability likelihood to radio, IR, and X-ray data is consistent with earlier quasar studies. Using already-known quasars as a template, we introduce a light curve morphology algorithm that provides an efficient method for discriminating variable quasars from periodic variable objects in the absence of spectroscopic information. The establishment of statistically robust trends and efficient, non-spectroscopic selection algorithms will aid in quasar identification and categorization in upcoming massive synoptic surveys. Finally, we report on three interesting variable quasars, including variability confirmation of the BL Lac candidate PKS 1222+037.
Brunner Robert J.
Rengstorf Adam W.
Wilhite Brian C.
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