Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62721
Title: Identifying deterministic signals in simulated gravitational wave data: algorithmic complexity and the surrogate data method
Authors: Zhao, Y
Small, M
Coward, D
Howell, E
Zhao, C
Ju, L
Blair, D
Issue Date: 2006
Publisher: Institute of Physics Publishing
Source: Classical and quantum gravity, 2006, v. 23, no. 5, p. 1801-14 How to cite?
Journal: Classical and quantum gravity 
Abstract: We describe the application of complexity estimation and the surrogate data method to identify deterministic dynamics in simulated gravitational wave (GW) data contaminated with white and coloured noises. The surrogate method uses algorithmic complexity as a discriminating statistic to decide if noisy data contain a statistically significant level of deterministic dynamics (the GW signal). The results illustrate that the complexity method is sensitive to a small amplitude simulated GW background (SNR down to 0.08 for white noise and 0.05 for coloured noise) and is also more robust than commonly used linear methods (autocorrelation or Fourier analysis).
URI: http://hdl.handle.net/10397/62721
ISSN: 0264-9381
EISSN: 1361-6382
DOI: 10.1088/0264-9381/23/5/019
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