False periodicities in quasar time-domain surveys

Open Access
Authors
  • M.J. Middleton
  • W.N. Alston
  • J.D. Scargle
  • W.M. Farr
Publication date 21-09-2016
Journal Monthly Notices of the Royal Astronomical Society
Volume | Issue number 461 | 3
Pages (from-to) 3145-3152
Organisations
  • Faculty of Science (FNWI) - Anton Pannekoek Institute for Astronomy (API)
Abstract
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.
Document type Article
Note This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2016. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Language English
Published at https://doi.org/10.1093/mnras/stw1412
Other links https://ui.adsabs.harvard.edu/abs/2016MNRAS.461.3145V/abstract
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