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Stochastic template placement algorithm for gravitational wave data analysis
2009
Physical Review D
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This paper presents an algorithm for constructing matched-filter template banks in an arbitrary parameter space. The method places templates at random, then removes those which are "too close" together. The properties and optimality of stochastic template banks generated in this manner are investigated for some simple models. The effectiveness of these template banks for gravitational wave searches for binary inspiral waveforms is also examined. The properties of a stochastic template bank are
doi:10.1103/physrevd.80.104014
fatcat:tdj5p4dyuvev7hcnsilcpwhwfm