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arXiv · 1805.05652

Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic

David Keitel·Gregory Ashton
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Abstract

The F-statistic is an established method to search for continuous gravitational waves from spinning neutron stars. Prix et al. (2011) introduced a variant for transient quasi-monochromatic signals. Possible astrophysical scenarios for such transients include glitching pulsars, newborn neutron stars and accreting systems. Here we present a new implementation of the transient F-statistic, using pyCUDA to leverage the power of modern graphics processing units (GPUs). The obtained speedup allows efficient searches over much wider parameter spaces, especially when using more realistic transient signal models including time-varying (e.g. exponentially decaying) amplitudes. Hence, it can enable comprehensive coverage of glitches in known nearby pulsars, improve the follow-up of outliers from continuous-wave searches, and might be an important ingredient for future blind all-sky searches for unknown neutron stars.

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David Keitel, Gregory Ashton. 2018-05-15. Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic. https://doi.org/10.1088/1361-6382%2Faade34

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