Performance of Particle Swarm Optimization on the fully-coherent all-sky search for gravitational waves from compact binary coalescences
Thilina S. Weerathunga, Soumya D. Mohanty
TL;DR
This paper investigates the use of Particle Swarm Optimization to perform fully-coherent all-sky gravitational wave searches more efficiently, reducing computational costs significantly compared to traditional grid-based methods.
Contribution
It demonstrates that PSO can effectively conduct fully-coherent searches with substantially fewer likelihood evaluations, improving computational efficiency in gravitational wave data analysis.
Findings
PSO achieves < 1/10 the likelihood evaluations of grid-based searches.
PSO successfully detects simulated gravitational wave signals.
The method maintains sensitivity comparable to traditional approaches.
Abstract
Fully-coherent all-sky search for gravitational wave (GW) signals from the coalescence of compact object binaries is a computationally expensive task. Approximations, such as semi-coherent coincidence searches, are currently used to circumvent the computational barrier with a concomitant loss in sensitivity. We explore the effectiveness of Particle Swarm Optimization (PSO) in addressing this problem. Our results, using a simulated network of detectors with initial LIGO design sensitivities and a realistic signal strength, show that PSO can successfully deliver a fully-coherent all-sky search with < 1/10 the number of likelihood evaluations needed for a grid-based search.
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