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arXiv · 1404.4642

Method for estimation of gravitational-wave transient model parameters in frequency-time maps

Michael Coughlin·Nelson Christensen·Jonathan Gair·Shivaraj Kandhasamy·Eric Thrane
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Abstract

A common technique for detection of gravitational-wave signals is searching for excess power in frequency-time maps of gravitational-wave detector data. In the event of a detection, model selection and parameter estimation will be performed in order to explore the properties of the source. In this paper, we develop a Bayesian statistical method for extracting model-dependent parameters from observed gravitational-wave signals in frequency-time maps. We demonstrate the method by recovering the parameters of model gravitational-wave signals added to simulated advanced LIGO noise. We also characterize the performance of the method and discuss prospects for future work.

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Michael Coughlin, Nelson Christensen, Jonathan Gair, Shivaraj Kandhasamy, Eric Thrane. 2014-04-17. Method for estimation of gravitational-wave transient model parameters in frequency-time maps. https://doi.org/10.1088/0264-9381/31/16/165012

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