Algorithms for the Detection of G.W. Bursts

Details Algorithms for the Detection of G.W. Bursts Algorithms for the Detection of G.W. Bursts

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002nmgm.meet.1906o&link_type=abstract

"THE NINTH MARCEL GROSSMANN MEETING On Recent Developments in Theoretical and Experimental General Relativity, Gravitation and R

Physics

Scientific paper

We review the digital processing algorithms we have devised to estimate signal and noise parameters in a resonant g.w. detector. Signal is assumed as a broad band g.w. burst without spectral structures in the detector bandwidth, and a matched-adaptive Wiener filter is used to estimate its amplitude and arrival time up to μsec accuracy. Noise is modeled as an AR(4)MA(4) process and the 8 parameters are evaluated hourly to account for its slow non- stationarieties. A crucial point for the setup of the Wiener filter is the separation of gaussian noise from spurious excitations. We have also implemented likelihood testing of the Wiener filter performances which leads to a standard χ2 test to discriminate candidate events from spurious ones.

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