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  Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

Veitch, J., Raymond, V., Farr, B., Farr, W. M., Graff, P., Vitale, S., et al. (2015). Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library. Physical Review D, 91(4): 042003. doi:10.1103/PhysRevD.91.042003.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-D2ED-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-D2EE-C
Genre: Journal Article
Other : Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

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 Creators:
Veitch, John, Author
Raymond, Vivien, Author
Farr, Benjamin, Author
Farr, Will M., Author
Graff, Philip, Author
Vitale, Salvatore, Author
Aylott, Ben, Author
Blackburn, Kent, Author
Christensen, Nelson, Author
Coughlin, Michael, Author
Del Pozzo, Walter, Author
Feroz, Farhan, Author
Gair, Jonathan, Author
Haster, Carl-Johan, Author
Kalogera, Vicky, Author
Littenberg, Tyson, Author
Mandel, Ilya, Author
O'Shaughnessy, Richard, Author
Pitkin, Matthew, Author
Rodriguez, Carl, Author
Röver, Christian1, Author              Sidery, Trevor, AuthorSmith, Rory, AuthorVan Der Sluys, Marc, AuthorVecchio, Alberto, AuthorVousden, Will, AuthorWade, Leslie, Author more..
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Abstract: The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star black hole binary and a binary black hole, where we show a cross-comparison of results obtained using three independent sampling algorithms. These systems were analysed with non-spinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analysing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space.

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 Dates: 2014-09-252015-02-162015
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1409.7215
DOI: 10.1103/PhysRevD.91.042003
DOI: 10.1103/PhysRevD.91.042003
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Title: Physical Review D
  Other : Phys. Rev. D.
Source Genre: Journal
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Publ. Info: Lancaster, Pa. : American Physical Society
Pages: - Volume / Issue: 91 (4) Sequence Number: 042003 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: /journals/resource/111088197762258