Detection and estimation of unmodeled narrowband nonstationary signals: application of particle swarm optimization in gravitational wave data analysis

Authors

Soumya Mohanty, The University of Texas Rio Grande Valley

Document Type

Article

Publication Date

7-12-2014

Abstract

The extraction of weak signals from instrumental noise is a critical task in ongoing searches for gravitational waves. A detection and estimation method, made feasible by Particle Swarm Optimization, is presented for a particularly challenging class of signals expected from astrophysical sources.

Comments

Original published version available at https://doi.org/10.1145/2598394.2598439

Recommended Citation

Mohanty, Soumya D. "Detection and estimation of unmodeled narrowband nonstationary signals: application of particle swarm optimization in gravitational wave data analysis." Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. 2014. https://doi.org/10.1145/2598394.2598439

Publication Title

GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation

DOI

10.1145/2598394.2598439