Stochastic template placement algorithm for gravitational wave data analysis

Journal Article · Sun Nov 15 00:00:00 EST 2009 · Physical Review. D, Particles Fields

DOI:https://doi.org/10.1103/PHYSREVD.80.104014· OSTI ID:21308631

Harry, I W; Sathyaprakash, B S ^[1]; Allen, B ^[2]

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1. School of Physics and Astronomy, Cardiff University, Queens Buildings, The Parade, Cardiff, CF24 3AA (United Kingdom)
2. Albert Einstein Institute, Hannover, Germany, and Department of Physics, University Wisconsin-Milwaukee, Milwaukee, Wisconsin, 53201 (United States)

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 then compared to the deterministically placed template banks that are currently used in gravitational wave data analysis.

• OSTI ID: 21308631
• Journal Information: Physical Review. D, Particles Fields, Vol. 80, Issue 10; Other Information: DOI: 10.1103/PhysRevD.80.104014; (c) 2009 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); ISSN 0556-2821
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
DATA ANALYSIS
GRAVITATIONAL WAVES
RANDOMNESS
SPACE
STOCHASTIC PROCESSES
WAVE FORMS