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Published August 15, 2016 | Submitted + Published
Journal Article Open

Enabling high confidence detections of gravitational-wave bursts


Extracting astrophysical information from gravitational-wave detections is a well-posed problem and thoroughly studied when detailed models for the waveforms are available. However, one motivation for the field of gravitational-wave astronomy is the potential for new discoveries. Recognizing and characterizing unanticipated signals requires data analysis techniques which do not depend on theoretical predictions for the gravitational waveform. Past searches for short-duration unmodeled gravitational-wave signals have been hampered by transient noise artifacts, or "glitches," in the detectors. We have put forth the BayesWave algorithm to differentiate between generic gravitational-wave transients and glitches, and to provide robust waveform reconstruction and characterization of the astrophysical signals. Here we study BayesWave's capabilities for rejecting glitches while assigning high confidence to detection candidates through analytic approximations to the Bayesian evidence. Analytic results are tested with numerical experiments by adding simulated gravitational-wave transient signals to LIGO data collected between 2009 and 2010 and found to be in good agreement.

Additional Information

© 2016 American Physical Society. Received 1 December 2015; published 25 August 2016. We acknowledge numerous discussions with Reed Essick, Erik Katsavounidis, and Salvatore Vitale which helped motivate the detailed analytic derivation of the evidence in the Appendix; James Clark for thorough comments and suggestions on an earlier draft of this paper; Sergey Klimenko and Francesco Salemi for help finding and understanding the cWB output files; and Kent Blackburn, Vicky Kalogera, Tjonnie Li, Patricia Schmidt, and Michele Vallisneri for helpful conversations about this work. T. B. L. acknowledges the support of NSF LIGO grant, Awards No. PHY-1307020, No. PHY-1506439. 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. This paper carries LIGO Document Number LIGO-P1500083.

Attached Files

Published - PhysRevD.94.044050.pdf

Submitted - 1511.08752v1.pdf


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August 20, 2023
October 20, 2023