A parallel algorithm for filtering gravitational waves from coalescing binaries

Computer Science

Scientific paper

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Binary Stars, Gravitational Waves, Matched Filters, Parallel Processing (Computers), Signal Detection, Connection Machine, Gravity Waves, Interferometry, Kernel Functions, Transputers, Waveforms

Scientific paper

Coalescing binary stars are perhaps the most promising sources for the observation of gravitational waves with laser interferometric gravity wave detectors. The waveform from these sources can be predicted with sufficient accuracy for matched filtering techniques to be applied. A parallel algorithm for detecting signals from coalescing compact binaries by the method of matched filtering is presented. The details of its implementation on a 256-node connection machine consisting of a network of transputers are also reported. The results of our analysis indicate that parallel processing is a promising approach to on-line analysis of data from gravitational wave detectors to filter out coalescing binary signals. The algorithm described is quite general in that the kernel of the algorithm is applicable to any set of matched filters.

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