会议论文详细信息
11th International LISA Symposium | |
Bayesian treatment of prospective LISA parameter estimation for massive black hole mergers | |
Baker, John G.^1 ; Marsat, Sylvain^2 | |
NASA - Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt | |
MD | |
20771, United States^1 | |
Albert Einstein Institut, Am Muehlenberg 1, Potsdam-Golm | |
14476, Germany^2 | |
关键词: Bayesian; Fast analysis; Incident waveform; Instrumental response; Massive black holes; Matrix analysis; Spherical harmonics; Wave forms; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/840/1/012051/pdf DOI : 10.1088/1742-6596/840/1/012051 |
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来源: IOP | |
【 摘 要 】
A full understanding of LISA'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 waveforms and the full-featured LISA response to study the significance of higher spherical harmonics and mergers in LISA analysis.
【 预 览 】
Files | Size | Format | View |
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Bayesian treatment of prospective LISA parameter estimation for massive black hole mergers | 354KB | download |