Prospects for gravitational-wave detection and supermassive black hole astrophysics with pulsar timing arrays
Abstract
Large-area sky surveys show that massive galaxies undergo at least one major merger in a Hubble time. Ongoing pulsar timing array (PTA) experiments are aimed at measuring the gravitational-wave (GW) emission from binary supermassive black holes (SMBHs) at the centres of galaxy merger remnants. In this paper, using the latest observational estimates for a range of galaxy properties and scaling relations, we predict the amplitude of the GW background generated by the binary SMBH population. We also predict the numbers of individual binary SMBH GW sources. We predict the characteristic strain amplitude of the GW background to lie in the range 5.1 × 10^(−16) < A_(yr) < 2.4 × 10^(−15) at a frequency of (1 yr)−1, with 95 per cent confidence. Higher values within this range, which correspond to the more commonly preferred choice of galaxy merger time-scale, will fall within the expected sensitivity ranges of existing PTA projects in the next few years. In contrast, we find that a PTA consisting of at least 100 pulsars observed with next-generation radio telescopes will be required to detect continuous-wave GWs from binary SMBHs. We further suggest that GW memory bursts from coalescing SMBH pairs are not viable sources for PTAs. Both the GW background and individual GW source counts are dominated by binaries formed in mergers between early-type galaxies of masses ≳ 5 × 10^(10) M_⊙ at redshifts ≲ 1.5. Uncertainties in the galaxy merger time-scale and the SMBH mass–galaxy bulge mass relation dominate the uncertainty in our predictions.
Additional Information
© 2015 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2014 December 13. Received 2014 November 26; in original form 2014 June 19. The authors thank Alberto Sesana for useful discussions and Justin Ellis for sharing results on predicted sensitivity curves. The authors also acknowledge the comments of the anonymous referee, which helped to significantly improve the manuscript. VR is a recipient of a John Stocker Postgraduate Scholarship from the Science and Industry Endowment Fund and JSBW acknowledges an Australian Research Council Laureate Fellowship. GH is supported by an Australian Research Council Future Fellowship. This work was performed on the swinSTAR supercomputer at the Swinburne University of Technology.Attached Files
Published - stu2659.pdf
Accepted Version - 1406.5297.pdf
Files
1406.5297.pdf
Additional details
Identifiers
- Eprint ID
- 96725
- Resolver ID
- CaltechAUTHORS:20190626-101118376
Related works
- Describes
- https://arxiv.org/abs/1406.5297 (URL)
Funding
- Science and Industry Endowment Fund
- Australian Research Council
Dates
- Created
-
2019-06-26Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field