LISA source confusion: Identification and characterization of signals
- ,
- ,
- Martin Hendry(,)
- Auckland U. and
- Carleton Coll. and
- Glasgow U.
- Renate Meyer(,)
- Auckland U. and
- Carleton Coll. and
- Glasgow U.
- Vimal Simha()
- Auckland U. and
- Carleton Coll. and
- Glasgow U.
11 pages
Published in:
- Class.Quant.Grav. 22 (2005) S901-S912
Contribution to:
e-Print:
- gr-qc/0503121 [gr-qc]
View in:
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Abstract: (arXiv)
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.- 02.70.Lq
- 06.20.Dq
- 04.80.Nn
- talk: Annecy 2004/12/15
- gravitational radiation: particle source
- LISA
- statistical analysis: Bayesian
- signal processing
- background
- data analysis method
References(9)
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