Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo

Marc van der Sluys; Vivien Raymond; Ilya Mandel; Christian Roever; Nelson Christensen; Vicky Kalogera; Renate Meyer; Alberto Vecchio

doi:10.1088/0264-9381/25/18/184011

Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo

General Relativity and Quantum Cosmology 2009-11-04 v1 Cosmology and Nongalactic Astrophysics Data Analysis, Statistics and Probability

Authors: Marc van der Sluys , Vivien Raymond , Ilya Mandel , Christian Roever , Nelson Christensen , Vicky Kalogera , Renate Meyer , Alberto Vecchio

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Abstract

We present a Markov-chain Monte-Carlo (MCMC) technique to study the source parameters of gravitational-wave signals from the inspirals of stellar-mass compact binaries detected with ground-based gravitational-wave detectors such as LIGO and Virgo, for the case where spin is present in the more massive compact object in the binary. We discuss aspects of the MCMC algorithm that allow us to sample the parameter space in an efficient way. We show sample runs that illustrate the possibilities of our MCMC code and the difficulties that we encounter.

Keywords

gravitational wave astronomy monte carlo algorithms monte carlo simulation

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@article{arxiv.0805.1689,
  title  = {Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo},
  author = {Marc van der Sluys and Vivien Raymond and Ilya Mandel and Christian Roever and Nelson Christensen and Vicky Kalogera and Renate Meyer and Alberto Vecchio},
  journal= {arXiv preprint arXiv:0805.1689},
  year   = {2009}
}

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10 pages, 2 figures, submitted to Classical and Quantum Gravity

Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo

Abstract

Keywords

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