Estimating the parameters of gravitational waves from neutron stars using an adaptive MCMC method

Details Estimating the parameters of gravitational waves from neutron stars using an adaptive MCMC method Estimating the parameters of gravitational waves from neutron stars using an adaptive MCMC method

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004cqgra..21s1655u&link_type=abstract

Classical and Quantum Gravity, Volume 21, Issue 20, pp. S1655-S1665 (2004).

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We present a Bayesian Markov chain Monte Carlo technique for estimating the astrophysical parameters of gravitational radiation signals from a neutron star in laser interferometer data. This computational algorithm can estimate up to six unknown parameters of the target, including the rotation frequency and frequency derivative, using reparametrization, delayed rejection and simulated annealing. We highlight how a simple extension of the method, distributed over multiple computer processors, will allow for a search over a narrow frequency band. The ultimate goal of this research is to search for sources at known locations, but uncertain spin parameters; an example would be SN1987A.

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