Výsledky vyhledávání - "Dupuis, Réjean J."

Dissertation/ Thesis

Bayesian searches for gravitational waves from pulsars

Autor: Dupuis, Réjean J.

Methods for searching for periodic gravitational wave signals from triaxial pulsars using interferometric gravitational wave detectors have been developed. Since the gravitational wave signals from pulsars are expected to be weak, long stretches of d

Externí odkaz: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425310

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Targeted searches for gravitational waves from radio pulsars

Autor: Dupuis, Réjean J.

Publikováno v: J.Phys.Conf.Ser. 32 (2006) 52-57

An overview of the searches for gravitational waves from radio pulsars with LIGO and GEO is given. We give a brief description of the algorithm used in these targeted searches and provide end-to-end validation of the technique through hardware inject

Externí odkaz: http://arxiv.org/abs/gr-qc/0509018

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Bayesian estimation of pulsar parameters from gravitational wave data

Autor: Dupuis, Réjean J., Woan, Graham

Publikováno v: Phys.Rev. D72 (2005) 102002

We present a method of searching for, and parameterizing, signals from known radio pulsars in data from interferometric gravitational wave detectors. This method has been applied to data from the LIGO and GEO 600 detectors to set upper limits on the

Externí odkaz: http://arxiv.org/abs/gr-qc/0508096

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Detecting gravitational radiation from neutron stars using a six-parameter adaptive MCMC method

Autor: Umstätter, Richard, Meyer, Renate, Dupuis, Réjean J., Veitch, John, Woan, Graham, Christensen, Nelson

Publikováno v: AIP Conf.Proc.735:336-343,2005

We present a Markov chain Monte Carlo technique for detecting gravitational radiation from a neutron star in laser interferometer data. The algorithm can estimate up to six unknown parameters of the target, including the rotation frequency and freque

Externí odkaz: http://arxiv.org/abs/gr-qc/0404025

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

Autor: Christensen, Nelson, Dupuis, Réjean J., Woan, Graham, Meyer, Renate

Publikováno v: Phys.Rev. D70 (2004) 022001

The Markov chain Monte Carlo methods offer practical procedures for detecting signals characterized by a large number of parameters and under conditions of low signal-to-noise ratio. We present a Metropolis-Hastings algorithm capable of inferring the

Externí odkaz: http://arxiv.org/abs/gr-qc/0402038

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