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  Pulsar Timing Array Analysis for Black Hole Backgrounds

Cornish, N. J., & Sesana, A. (2013). Pulsar Timing Array Analysis for Black Hole Backgrounds. Classical and quantum gravity, 30(22): 224005. doi:doi:10.1088/0264-9381/30/22/224005.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-F731-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-F732-6
Genre: Journal Article

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1305.0326.pdf (Preprint), 4KB
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 Creators:
Cornish, Neil J., Author
Sesana, A.1, Author              
Affiliations:
1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:24013              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc,Astrophysics, Cosmology and Extragalactic Astrophysics, astro-ph.CO
 Abstract: An astrophysical population of supermassive black hole binaries is thought to be the strongest source of gravitational waves in the frequency range covered by Pulsar Timing Arrays (PTAs). A potential cause for concern is that the standard cross-correlation method used in PTA data analysis assumes that the signals are isotropically distributed and Gaussian random, while the signals from a black hole population are likely to be anisotropic and deterministic. Here we argue that while the conventional analysis is not optimal, it is not hopeless either, as the standard Hellings-Downs correlation curve turns out to hold for point sources, and the small effective number of signal samples blurs the distinction between Gaussian and deterministic signals. Possible improvements to the standard cross-correlation analysis that account for the anisotropy of the signal are discussed.

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 Dates: 2013-05-012013
 Publication Status: Published in print
 Pages: 10 pages, 5 figures
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 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1305.0326
DOI: doi:10.1088/0264-9381/30/22/224005
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Title: Classical and quantum gravity
Source Genre: Journal
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Publ. Info: Bristol, U.K. : Institute of Physics
Pages: - Volume / Issue: 30 (22) Sequence Number: 224005 Start / End Page: - Identifier: ISSN: 0264-9381
CoNE: http://pubman.mpdl.mpg.de/cone/journals/resource/954925513480_1