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

被引：0
|
作者：
Baker, John G. [1 ]
Marsat, Sylvain [2 ]
机构：
[1] NASA Goddard Space Flight Ctr, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
[2] Albert Einstein Inst, Muehlenberg 1, D-14476 Potsdam, Germany
来源：
11TH INTERNATIONAL LISA SYMPOSIUM | 2017年 / 840卷
关键词：
D O I：
10.1088/1742-6596/840/1/012051
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
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.
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