Reducing Binary Confusion Noise
Author(s) -
K. Hayama
Publication year - 2004
Publication title -
progress of theoretical physics
Language(s) - English
Resource type - Journals
eISSN - 1347-4081
pISSN - 0033-068X
DOI - 10.1143/ptp.111.13
Subject(s) - noise (video) , physics , confusion , waveform , gravitational wave , binary number , signal (programming language) , white noise , wavelet , gravitational wave astronomy , acoustics , computer science , gravitational wave observatory , telecommunications , artificial intelligence , astrophysics , mathematics , quantum mechanics , psychology , arithmetic , voltage , psychoanalysis , image (mathematics) , programming language
It is expected that proposed space-based interferometers, such as LISA and DECIGO, will detect so many gravitational wave signals from compact binaries that it will not be possible to resolve these gravitational wave signals in the low frequency band. Such unresolved signals result in confusion noise in detecting other gravitational wave signals, such as signals from merger, and ringdown of super-massive black holes, and so on. In this paper, we analyze characteristics of this confusion noise in wavelet space and extract a typical level of this noise. Then, we propose a data analysis method to reduce the confusion noise using a typical noise level and derive an approximate form of a burst signal subject to such confusion noise. By use of a computer simulation, we show that our method can reduce the influence of confusion noise and obtain an approximate waveform of the desired signal with high accuracy.
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