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  The search for spinning black hole binaries in mock LISA data using a genetic algorithm

Petiteau, A., Shang, Y., Babak, S., & Feroz, F. (2010). The search for spinning black hole binaries in mock LISA data using a genetic algorithm. Physical Review D., 81: 104016. doi:10.1103/PhysRevD.81.104016.

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1001.5380 (Preprint), 3MB
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1001.5380
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File downloaded from arXiv at 2010-06-11 10:33
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 Creators:
Petiteau, Antoine, Author
Shang, Yu, Author
Babak, Stanislav1, Author           
Feroz, Farhan, Author
Affiliations:
1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_24013              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc
 Abstract: Coalescing massive Black Hole binaries are the strongest and probably the most important gravitational wave sources in the LISA band. The spin and orbital precessions bring complexity in the waveform and make the likelihood surface richer in structure as compared to the non-spinning case. We introduce an extended multimodal genetic algorithm which utilizes the properties of the signal and the detector response function to analyze the data from the third round of mock LISA data challenge (MLDC 3.2). The performance of this method is comparable, if not better, to already existing algorithms. We have found all five sources present in MLDC 3.2 and recovered the coalescence time, chirp mass, mass ratio and sky location with reasonable accuracy. As for the orbital angular momentum and two spins of the Black Holes, we have found a large number of widely separated modes in the parameter space with similar maximum likelihood values.

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 Dates: 2010-01-292010
 Publication Status: Issued
 Pages: 25 pages, 9 figures
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 Table of Contents: -
 Rev. Type: -
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Title: Physical Review D.
  Alternative Title : Phys. Rev. D.
Source Genre: Journal
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Publ. Info: Lancaster, Pa. : Published for the American Physical Society by the American Institute of Physics
Pages: - Volume / Issue: 81 Sequence Number: 104016 Start / End Page: - Identifier: Other: 111088197762258
Other: 0556-2821