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

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

2008-05-12

arxiv.org/abs/0805.1689v1

Class.Quant.Grav.25:184011,2008

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

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

Scientific paper

10.1088/0264-9381/25/18/184011

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.

Affiliated with

Also associated with

No associations

Rating

Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-326108