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  Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method

Baghi, Q., Thorpe, I., Slutsky, J., Baker, J., Canton, T. D., Korsakova, N., et al. (in preparation). Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-46AB-D Version Permalink: http://hdl.handle.net/21.11116/0000-0004-46AF-9
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1907.04747.pdf (Preprint), 2MB
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 Creators:
Baghi, Quentin, Author
Thorpe, Ira, Author
Slutsky , Jacob1, Author
Baker, John, Author
Canton, Tito Dal, Author
Korsakova , Natalia1, Author
Karnesis, Nikos, Author
Affiliations:
1AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, Hannover, DE, ou_24009              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM,
 Abstract: By listening to gravity in the low frequency band, between 0.1 mHz and 1 Hz, the future space-based gravitational-wave observatory LISA will be able to detect tens of thousands of astrophysical sources from cosmic dawn to the present. The detection and characterization of all resolvable sources is a challenge in itself, but LISA data analysis will be further complicated by interruptions occurring in the interferometric measurements. These interruptions will be due to various causes occurring at various rates, such as laser frequency switches, high-gain antenna re-pointing, orbit corrections, or even unplanned random events. Extracting long-lasting gravitational-wave signals from gapped data raises problems such as noise leakage and increased computational complexity. We address these issues by using Bayesian data augmentation, a method that reintroduces the missing data as auxiliary variables in the sampling of the posterior distribution of astrophysical parameters. This provides a statistically consistent way to handle gaps while improving the sampling efficiency and mitigating leakage effects. We apply the method to the estimation of galactic binaries parameters with different gap patterns, and we compare the results to the case of complete data.

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 Dates: 2019-07-10
 Publication Status: Not specified
 Pages: 18 pages, 7 figures, accepted for publication in Phys. Rev. D
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1907.04747
URI: http://arxiv.org/abs/1907.04747
 Degree: -

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