LISA source confusion: identification and characterization of signals

Details LISA source confusion: identification and characterization of signals LISA source confusion: identification and characterization of signals

2005-03-30

arxiv.org/abs/gr-qc/0503121v1

Class.Quant.Grav. 22 (2005) S901-S912

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

Proceedings of GWDAW9, submitted to Classical and Quantum Gravity

Scientific paper

10.1088/0264-9381/22/18/S04

The Laser Interferometer Space Antenna (LISA) is expected to detect gravitational radiation from a large number of compact binary systems. We present a method by which these signals can be identified and have their parameters estimated. Our approach uses Bayesian inference, specifically the application of a Markov chain Monte Carlo method. The simulation study that we present here considers a large number of sinusoidal signals in noise, and our method estimates the number of periodic signals present in the data, the parameters for these signals and the noise level. The method is significantly better than classical spectral techniques at performing these tasks and does not use stopping criteria for estimating the number of signals present.

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