Gravitational-Wave Data Analysis.
Formalism and Sample Applications: The Gaussian Case

Piotr Jaranowski 
Faculty of Physics
University of Białystok
Lipowa 41
15–424 Białystok, Poland

Andrzej Królak 
Institute of Mathematics
Polish Academy of Sciences
Śniadeckich 8
00–956 Warsaw, Poland

Major update of lrr-2005-3 (see article history and change log for details.)


The article reviews the statistical theory of signal detection in application to analysis of deterministic gravitational-wave signals in the noise of a detector. Statistical foundations for the theory of signal detection and parameter estimation are presented. Several tools needed for both theoretical evaluation of the optimal data analysis methods and for their practical implementation are introduced. They include optimal signal-to-noise ratio, Fisher matrix, false alarm and detection probabilities, ℱ-statistic, template placement, and fitting factor. These tools apply to the case of signals buried in a stationary and Gaussian noise. Algorithms to efficiently implement the optimal data analysis techniques are discussed. Formulas are given for a general gravitational-wave signal that includes as special cases most of the deterministic signals of interest.

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