Computer Science
Scientific paper
Oct 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992stin...9425212s&link_type=abstract
Unknown
Computer Science
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.
Dhurandhar Sanjeev V.
Sathyaprakash Bangalore S.
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