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The Markov chain Monte Carlo methods offer practical procedures for detectingsignals characterized by a large number of parameters and under conditions oflow signal-to-noise ratio. We present a Metropolis-Hastings algorithm capableof inferring the spin and orientation parameters of a neutron star from itsperiodic gravitational wave signature seen by laser interferometric detector

Metropolis-Hastings algorithm for extracting periodic gravitational wave signals from laser interferometric detector data