Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 7, 2008 | public
Journal Article Open

Robust Bayesian detection of unmodelled bursts

Abstract

We develop a Bayesian treatment of the problem of detecting unmodelled gravitational wave bursts using the new global network of interferometric detectors. We also compare this Bayesian treatment with existing coherent methods, and demonstrate that the existing methods make implicit assumptions on the distribution of signals that make them sub-optimal for realistic signal populations.

Additional Information

Copyright © Institute of Physics and IOP Publishing Limited 2008. Received 31 October 2007, in final form 17 January 2008. Published 15 May 2008. Print publication: Issue 11 (7 June 2008). We would like to thank Shourov Chatterji, Albert Lazzarini and Andrew Moylan. AS and GW were supported by the LIGO Visitors Program. AS was supported by the Australian Research Council. Part of this research was performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. MT was supported under research task 05-BEFS05-0014. PJS was supported in part by STFC grant PP/F001096/1. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation and operates under cooperative agreement PHY-0107417. This document has been assigned LIGO Document Number LIGO-P070119-00-Z. INVITED AMALDI TALK. Special Issue: Proceedings of the 18th International Conference on General Relativity and Gravitation (GRG18) and 7th Edoardo Amaldi Conference on Gravitational Waves (Amaldi7), Sydney, Australia, July 2007 http://www.iop.org/EJ/toc/0264-9381/25/11

Files

SEAcqg08.pdf
Files (127.3 kB)
Name Size Download all
md5:8ac1c31e65bbec712bf496d690bdf818
127.3 kB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 16, 2023