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  A statistical veto method employing an amplitude consistency check

Hild, S., Ajith, P., Hewitson, M., Grote, H., & Smith, J. R. (2007). A statistical veto method employing an amplitude consistency check. Classical and Quantum Gravity, 24(15), 3783-3798. doi:10.1088/0264-9381/24/15/001.

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Hild, Stefan1, Author           
Ajith, P.1, 2, 3, Author
Hewitson, Martin2, Author           
Grote, Hartmut1, Author           
Smith, J. R.1, 2, 3, Author
Affiliations:
1Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24010              
2Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              
3AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24009              

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 Abstract: Statistical veto methods are commonly used to reduce the list of candidate gravitational wave (GW) events which are detected as transient (burst) signals in the main output of GW detectors. If a burst event in the GW channel is coincident with an event in a veto channel (where the veto channel does not contain any GW signal), it is possible to veto the event from the GW channel with a low 'false-veto' rate. Unfortunately, many promising veto channels are interferometer channels which can, at some level, contain traces of any detected GW signal. In this case, the application of a 'standard statistical veto' could have a high false-veto rate. We will present an extension to the standard statistical veto method that includes an 'amplitude consistency check'. This method allows the application of statistical vetoes derived from interferometer channels containing GW information with a low false-veto rate. By applying a statistical veto with an amplitude consistency check to data from the GEO 600 detector, veto efficiencies between 5 and 20%, together with a use-percentage of up to 80%, were obtained. The robustness of this veto method was also confirmed by hardware injections. The burst triggers were generated using the mHACR detection algorithm.

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 Dates: 2007
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Title: Classical and Quantum Gravity
Source Genre: Journal
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Pages: - Volume / Issue: 24 (15) Sequence Number: - Start / End Page: 3783 - 3798 Identifier: -