Does a "stochastic" background of gravitational waves exist in the pulsar timing band?
Abstract
We investigate the effects of gravitational waves (GWs) from a simulated population of binary supermassive black holes (SMBHs) on pulsar timing array data sets. We construct a distribution describing the binary SMBH population from an existing semi-analytic galaxy formation model. Using realizations of the binary SMBH population generated from this distribution, we simulate pulsar timing data sets with GW-induced variations. We find that the statistics of these variations do not correspond to an isotropic, stochastic GW background. The "Hellings & Downs" correlations between simulated data sets for different pulsars are recovered on average, though the scatter of the correlation estimates is greater than expected for an isotropic, stochastic GW background. These results are attributable to the fact that just a few GW sources dominate the GW-induced variations in every Fourier frequency bin of a five-year data set. Current constraints on the amplitude of the GW signal from binary SMBHs will be biased. Individual binary systems are likely to be detectable in five-year pulsar timing array data sets where the noise is dominated by GW-induced variations. Searches for GWs in pulsar timing array data therefore need to account for the effects of individual sources of GWs.
Additional Information
© 2012 The American Astronomical Society. Received 2012 August 10; accepted 2012 October 11; published 2012 November 27. V.R. is a recipient of a John Stocker Postgraduate Scholarship from the Science and Industry Endowment Fund. J.S.B.W. acknowledges an Australian Research Council Laureate Fellowship. G.H. is the recipient of an Australian Research Council QEII Fellowship (project DP0878388). The Millennium and Millennium-II Simulation databases used in this paper and the web application providing online access to them were constructed as part of the activities of the German Astrophysical Virtual Observatory. We acknowledge use of the mpfit IDL routines of C. B. Markwardt. We thank W. Coles for his extensive and insightful comments into draft versions of the manuscript. We also thank the anonymous referee for comments that were useful in improving the manuscript.Attached Files
Published - Ravi_2012_ApJ_761_84.pdf
Accepted Version - 1210.3854.pdf
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Additional details
- Eprint ID
- 96632
- Resolver ID
- CaltechAUTHORS:20190621-140739565
- Science and Industry Endowment Fund
- DP0878388
- Australian Research Council
- Created
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2019-06-23Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field