Archana Pai et al 2002 Class. Quantum Grav. 19 1477 doi:10.1088/0264-9381/19/7/333
Computational cost for detecting inspiralling binaries using a network of laser interferometric detectors
Archana Pai1, Sukanta Bose2,3 and Sanjeev Dhurandhar1
Show affiliationsWe extend a coherent network data-analysis strategy developed earlier for detecting Newtonian waveforms to the case of post-Newtonian (PN) waveforms. Since the PN waveform depends on the individual masses of the inspiralling binary, the parameter-space dimension increases by one from that of the Newtonian case. We obtain the number of templates and estimate the computational costs for PN waveforms: for a lower mass limit of 1M
, for LIGO-I noise and with 3% maximum mismatch, the online computational speed requirement for single detector is a few Gflops; for a two-detector network it is hundreds of Gflops and for a three-detector network it is tens of Tflops. Apart from idealistic networks, we obtain results for realistic networks comprising of LIGO and VIRGO. Finally, we compare costs incurred in a coincidence detection strategy with those incurred in the coherent strategy detailed above.
- PACS
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04.80.Nn Gravitational wave detectors and experiments
07.05.Kf Data analysis: algorithms and implementation; data management
- MSC
- Subjects
- Dates
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Issue 7 (7 April 2002)
Received 1 October 2001, in final form 14 December 2001
Published 11 March 2002
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Computational cost for detecting inspiralling binaries using a network of laser interferometric detectors
Archana Pai et al 2002 Class. Quantum Grav. 19 1477
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