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  Bayesian treatment of prospective LISA parameter estimation for massive black hole mergers

Baker, J. G., & Marsat, S. (2017). Bayesian treatment of prospective LISA parameter estimation for massive black hole mergers. Journal of Physics: Conference Series, 840: 012051.

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JPCS_840_012051.pdf (Publisher version), 350KB
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IOP Publishing

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 Creators:
Baker, John G, Author
Marsat, Sylvain1, Author           
Affiliations:
1Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_1933290              

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 Dates: 2017
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1088/1742-6596/840/1/012051
 Degree: -

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Title: 11th International LISA Symposium
Place of Event: Zurich, Switzerland
Start-/End Date: 2016-09-05 - 2016-09-09

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Title: Journal of Physics: Conference Series
Source Genre: Journal
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Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 840 Sequence Number: 012051 Start / End Page: - Identifier: ISSN: 1742-6588
CoNE: https://pure.mpg.de/cone/journals/resource/111097776606042