Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data

Details Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data

2001-02-05

arxiv.org/abs/gr-qc/0102018v1

Phys.Rev. D64 (2001) 022001

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

21 pages, 10 figures

Scientific paper

10.1103/PhysRevD.64.022001

We present a Bayesian approach to the problem of determining parameters for coalescing binary systems observed with laser interferometric detectors. By applying a Markov Chain Monte Carlo (MCMC) algorithm, specifically the Gibbs sampler, we demonstrate the potential that MCMC techniques may hold for the computation of posterior distributions of parameters of the binary system that created the gravity radiation signal. We describe the use of the Gibbs sampler method, and present examples whereby signals are detected and analyzed from within noisy data.

Affiliated with

Also associated with

No associations

Rating

Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data 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 Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-104703