Method for estimation of gravitational-wave transient model parameters   in frequency-time maps
  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. 
Michael Coughlin, Nelson Christensen, Jonathan Gair, Shivaraj   Kandhasamy, Eric Thrane
gr-qc