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Bayesian Treatment of Prospective LISA Parameter Estimation for Massive Black Hole Mergers (2017)

Baker, John G. ; Marsat, Sylvain

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Publication Date: 2019-07-27

Description: A full understanding of LISA (Laser Interferometer Space Antenna)'s science capability will require accurate models of incident waveform signals and the instrumental response. While Fisher matrix analysis is useful for some estimates, a full Bayesian treatment is needed for important cases at the limit of LISA's capability. We will apply fast analysis algorithms enabling accurate treatment with EOB (effective-one-body) waveforms and the full-featured LISA response to study the significance of higher spherical harmonics and mergers in LISA analysis.

Keywords: Astrophysics

Type: GSFC-E-DAA-TN56728 , International LISA (Laser Interferometer Space Antenna) Symposium; 5ý9 Sep. 2016; Zurich; Switzerland|Journal of Physics: Conference Series; 840; 1; 012051

Format: text

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