Computer Science
Scientific paper
Sep 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005cqgra..22s1349m&link_type=abstract
Classical and Quantum Gravity, Volume 22, Issue 18, pp. S1349-S1358 (2005).
Computer Science
5
Scientific paper
Gamma-ray burst (GRB) central engines are potentially strong gravitational wave (GW) sources. GRBs occur at the rate of ~1/day and several currently operating and planned observatories will maintain coverage of the gamma-ray window over the next decade. Data analysis strategies are required that can exploit multiple GRB triggers collected over a long span of time to expand the science reach of GW detectors beyond that possible with a single direct coincidence search. Such a strategy has been proposed earlier by Finn, Mohanty and Romano (FMR). In this paper, we formally derive multi-GRB search algorithms from principles of Frequentist statistical decision theory. The FMR approach is shown to be a special case where the duration of the GW signal from a GRB is of the same order as its expected offset from the gamma-ray counterpart. A new ad hoc statistic, based on plausible arguments, is also constructed and compared with the formally derived one.
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