posted on 2016-11-18, 12:13authored byS. A. Vaughan, P. Uttley, A. G. Markowitz, D. Huppenkothen, M. J. Middleton, W. N. Alston, J. D. Scargle6, W. M. Farr
There have recently been several reports of apparently periodic variations in the light curves of quasars, e.g. PG 1302−102 by Graham et al. Any quasar showing periodic oscillations in brightness would be a strong candidate to be a close binary supermassive black hole and, in turn, a candidate for gravitational wave studies. However, normal quasars – powered by accretion on to a single, supermassive black hole – usually show stochastic variability over a wide range of time-scales. It is therefore important to carefully assess the methods for identifying periodic candidates from among a population dominated by stochastic variability. Using a Bayesian analysis of the light curve of PG 1302−102, we find that a simple stochastic process is preferred over a sinusoidal variation. We then discuss some of the problems one encounters when searching for rare, strictly periodic signals among a large number of irregularly sampled, stochastic time series, and use simulations of quasar light curves to illustrate these points. From a few thousand simulations of steep spectrum (‘red noise’) stochastic processes, we find many simulations that display few-cycle periodicity like that seen in PG 1302−102. We emphasize the importance of calibrating the false positive rate when the number of targets in a search is very large.
Funding
SV acknowledges support from STFC consolidated grant
ST/K001000/1. WNA acknowledges support from the European
Union Seventh Framework Programme (FP7/2013-2017) under
grant agreement n.312789, StrongGravity. MJM acknowledges support
from an STFC Ernest Rutherford fellowship. DH acknowledges
support by the Moore–Sloan Data Science Environment
at NYU. This research made use of NASA’s Astrophysics Data
System. The CSS survey is funded by the National Aeronautics
and Space Administration under Grant No. NNG05GF22G
issued through the Science Mission Directorate Near-Earth Objects
Observations Program. The CRTS survey is supported by the
US National Science Foundation under grants AST-0909182 and
AST-1313422
History
Citation
Monthly Notices of the Royal Astronomical Society, (September 21, 2016) 461 (3): 3145-3152.
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy
Version
VoR (Version of Record)
Published in
Monthly Notices of the Royal Astronomical Society
Publisher
Oxford University Press (OUP), Royal Astronomical Society