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  Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries

Smith, R., Field, S. E., Blackburn, K., Haster, C.-J., Pürrer, M., Raymond, V., et al. (2016). Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries. Physical Review D, 94: 044031. doi:10.1103/PhysRevD.94.044031.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-7104-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-FA27-9
Genre: Journal Article

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 Creators:
Smith, Rory, Author
Field, Scott E., Author
Blackburn, Kent, Author
Haster, Carl-Johan, Author
Pürrer, Michael1, Author              
Raymond, Vivien1, Author              
Schmidt , Patricia, Author
Affiliations:
1Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_1933290              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Abstract: Inferring astrophysical information from gravitational waves emitted by compact binaries is one of the key science goals of gravitational-wave astronomy. In order to reach the full scientific potential of gravitational-wave experiments we require techniques to mitigate the cost of Bayesian inference, especially as gravitational-wave signal models and analyses become increasingly sophisticated and detailed. Reduced order models (ROMs) of gravitational waveforms can significantly reduce the computational cost of inference by removing redundant computations. In this paper we construct the first reduced order models of gravitational-wave signals that include the effects of spin-precession, inspiral, merger, and ringdown in compact object binaries, and which are valid for component masses describing binary neutron star, binary black hole and mixed binary systems. This work utilizes the waveform model known as "IMRPhenomPv2". Our ROM enables the use of a fast \textit{reduced order quadrature} (ROQ) integration rule which allows us to approximate Bayesian probability density functions at a greatly reduced computational cost. We find that the ROQ rule can be used to speed up inference by factors as high as 300 without introducing systematic bias. This corresponds to a reduction in computational time from around half a year to a half a day, for the longest duration/lowest mass signals. The ROM and ROQ rule are available with the main inference library of the LIGO Scientific Collaboration, LALInference.

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 Dates: 2016-04-27201620162016
 Publication Status: Published in print
 Pages: 18 pages, 12 figures
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 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1604.08253
URI: http://arxiv.org/abs/1604.08253
DOI: 10.1103/PhysRevD.94.044031
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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: 94 Sequence Number: 044031 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: /journals/resource/111088197762258