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 January 22, 2013 | Published + Submitted
Journal Article Open

Searching for gravitational waves from binary coalescence

Abstract

We describe the implementation of a search for gravitational waves from compact binary coalescences in LIGO and Virgo data. This all-sky, all-time, multidetector search for binary coalescence has been used to search data taken in recent LIGO and Virgo runs. The search is built around a matched filter analysis of the data, augmented by numerous signal consistency tests designed to distinguish artifacts of non- Gaussian detector noise from potential detections.We demonstrate the search performance using Gaussian noise and data from the fifth LIGO science run and demonstrate that the signal consistency tests are capable of mitigating the effect of non-Gaussian noise and providing a sensitivity comparable to that achieved in Gaussian noise.

Additional Information

© 2013 American Physical Society. Received 29 August 2012; published 22 January 2013. The authors would like to thank their colleagues in the LIGO Scientific Collaboration and Virgo Collaboration, and particularly the other members of the Compact Binary Coalescence Search Group. The authors gratefully acknowledge the support of the United States National Science Foundation, the Science and Technology Facilities Council of the United Kingdom, the Royal Society, the Max Planck Society, the National Aeronautics and Space Administration, Industry Canada and the Province of Ontario through the Ministry of Research and Innovation. 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-0757058.

Attached Files

Published - PhysRevD.87.024033.pdf

Submitted - 1208.3491v1.pdf

Files

PhysRevD.87.024033.pdf
Files (6.9 MB)
Name Size Download all
md5:f15437393e67126d129b14922d75aa92
3.4 MB Preview Download
md5:cb6099b216ef163b2d0d91a2be479a39
3.5 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 23, 2023