A coherent method for the detection and parameter estimation of continuous gravitational wave signals using a pulsar timing array
The use of a high precision pulsar timing array is a promising approach to detecting gravitational waves in the very low frequency regime (10-6-10-9 Hz) that is complementary to ground-based efforts (e.g., LIGO, Virgo) at high frequencies (âˆ¼10-103 Hz) and space-based ones (e.g., LISA) at low frequencies (10-4-10-1 Hz). One of the target sources for pulsar timing arrays is individual supermassive black hole binaries which are expected to form in galactic mergers. In this paper, a likelihood-based method for detection and parameter estimation is presented for a monochromatic continuous gravitational wave signal emitted by such a source. The so-called pulsar terms in the signal that arise due to the breakdown of the long-wavelength approximation are explicitly taken into account in this method. In addition, the method accounts for equality and inequality constraints involved in the semi-analytical maximization of the likelihood over a subset of the parameters. The remaining parameters are maximized over numerically using Particle Swarm Optimization. Thus, the method presented here solves the monochromatic continuous wave detection and parameter estimation problem without invoking some of the approximations that have been used in earlier studies.
Yan Wang, et. al., (2014) A coherent method for the detection and parameter estimation of continuous gravitational wave signals using a pulsar timing array.Astrophysical Journal795:1. DOI: http://doi.org/10.1088/0004-637X/795/1/96
© Astrophysical Journal. This is the peer reviewed version of the following article: 'A coherent method for the detection and parameter estimation of continuous gravitational wave signals using a pulsar timing array', which has been published in final form at http://doi.org/10.1088/0004-637X/795/1/96. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.