A Bayesian coincidence test for noise rejection in a gravitational-wave burst search
- Creators
- Cannon, Kipp C.
Abstract
In searches for gravitational-wave bursts, a standard technique used to reject noise is to discard burst event candidates that are not seen in coincidence in multiple detectors. A coincidence test in which Bayesian inference is used to measure how noise-like a tuple of events appears is presented here. This technique is shown to yield higher detection efficiencies for a given false alarm rate than do techniques based on per-parameter thresholds when applied to a toy model covering a broad class of event candidate populations. Also presented is the real-world example of a use of the technique for noise rejection in a time–frequency burst search conducted on simulated gravitational-wave detector data. Besides achieving a higher detection efficiency, the technique is significantly less challenging to implement well than is a per-parameter threshold method.
Additional Information
Copyright © Institute of Physics and IOP Publishing Limited 2008. Received 13 January 2008, in final form 5 April 2008. Published 7 May 2008. Print publication: Issue 10 (21 May 2008). I wish to thank Dr Ruslan Vaulin and Professor Jolien Creighton, University of Wisconsin-Milwaukee, for useful discussions and inspiration. This work was supported in part by the National Science Foundation under grant numbers PHY-0200852 and PHY-0421416. Technical Report No. LIGO-P070085-00-Z.Files
Name | Size | Download all |
---|---|---|
md5:fd7c912ad324e588893dbd82d96cafd4
|
588.6 kB | Preview Download |
Additional details
- Eprint ID
- 10505
- Resolver ID
- CaltechAUTHORS:CANcqg08
- Created
-
2008-05-12Created from EPrint's datestamp field
- Updated
-
2022-07-12Created from EPrint's last_modified field