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  Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

Ashton, G., & Prix, R. (2018). Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates. Physical Review D, 97: 103020. doi:10.1103/PhysRevD.97.103020.

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 Creators:
Ashton, G.1, Author           
Prix, R.1, 2, Author           
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              
2Searching for Continuous Gravitational Waves, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, Hannover, DE, ou_2630691              

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Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 Abstract: Leveraging Markov chain Monte Carlo (MCMC) optimization of the F-statistic, we introduce a method for the hierarchical follow-up of continuous gravitational wave candidates identified by wide-parameter space semi-coherent searches. We demonstrate parameter estimation for continuous wave sources and develop a framework and tools to understand and control the effective size of the parameter space, critical to the success of the method. Monte Carlo tests of simulated signals in noise demonstrate that this method is close to the theoretical optimal performance.

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 Dates: 2018-02-152018-05-30
 Publication Status: Issued
 Pages: 15 pages, 9 figures, 3 tables
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 Table of Contents: -
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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: 97 Sequence Number: 103020 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: https://pure.mpg.de/cone/journals/resource/111088197762258