MCMC exploration of supermassive black hole binary inspirals

被引：37

作者：

Cornish, Neil J. ^{[1
]}

Porter, Edward K. ^{[1
]}

机构：

[1] Montana State Univ, Dept Phys, Bozeman, MT 59717 USA

来源：

CLASSICAL AND QUANTUM GRAVITY | 2006年 / 23卷 / 19期

关键词：

D O I：

10.1088/0264-9381/23/19/S15

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The Laser Interferometer Space Antenna will be able to detect the inspiral and merger of super massive black hole binaries (SMBHBs) anywhere in the universe. Standard matched filtering techniques can be used to detect and characterize these systems. Markov Chain Monte Carlo (MCMC) methods are ideally suited to this and other LISA data analysis problems as they are able to efficiently handle models with large dimensions. Here we compare the posterior parameter distributions derived by an MCMC algorithm with the distributions predicted by the Fisher information matrix. We find excellent agreement for the extrinsic parameters, while the Fisher matrix slightly overestimates errors in the intrinsic parameters.

引用

页码：S761 / S767

页数：7

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