Carleton Author

Christensen, Nelson

Department

Physics and Astronomy

Journal Title

Physical Review D

Publication Date

2007

Volume

75

Issue

6

First Page

1

Publisher

American Institute of Physics

Last Page

11

File Name

032_Christensen-Nelson_CoherentBayesianInferenceOnCompactBinaryInspirals.pdf

Keywords

gravitational waves, compact binary inspirals, coherent parameter estimation

Abstract

Presented in this paper is the description of a Markov chain Monte Carlo (MCMC) routine for conducting coherent parameter estimation for interferometric gravitational wave observations of an inspiral of binary compact objects using multiple detectors. Data from several interferometers are processed, and all nine parameters (ignoring spin) associated with the binary system are inferred, including the distance to the source, the masses, and the location on the sky. The data is matched with time-domain inspiral templates that are 2.5 post-Newtonian (PN) in phase and 2.0 PN in amplitude. We designed and tuned an MCMC sampler so that it is able to efficiently find the posterior mode(s) in the parameter space and perform the stochastic integration necessary for inference within a Bayesian framework. Our routine could be implemented as part of an inspiral detection pipeline for a world wide network of detectors. Examples are given for simulated signals and data as seen by the LIGO and Virgo detectors operating at their design sensitivity.

Rights Management

Carleton College does not own the copyright to this work and the work is available through the Carleton College Library following the original publisher's policies regarding self-archiving. For more information on the copyright status of this work, refer to the current copyright holder.

RoMEO Color

Green

Preprint Archiving

Yes

Postprint Archiving

Yes

Publisher PDF Archiving

Yes

Contributing Organization

Carleton College

Type

Article

Format

application/pdf

Language

English

Included in

Physics Commons

Share

COinS