Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches

Abstract

The $\mathcal{F}$-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the $\mathcal{F}$-statistic is presented which accelerates the existing "resampling" algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is $17.2$ GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.

arXiv commentAccepted for publication in Classical and Quantum Gravity. 19 pages, 4 figures

References in corpus (34)

• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• Advanced LIGO
• The ATNF Pulsar Catalogue
• Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection
• KAGRA: 2.5 Generation Interferometric Gravitational Wave Detector
• Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
• Searching for periodic sources with LIGO
• Matching matched filtering with deep networks in gravitational-wave astronomy
• Gravitational waves from known pulsars: results from the initial detector era
• Method for all-sky searches of continuous gravitational wave signals using the frequency-Hough transform
• Gravitational Waves: Sources, Detectors and Searches
• Recent searches for continuous gravitational waves
• Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015-2017 LIGO Data
• Parallelized Inference for Gravitational-Wave Astronomy
• Bayesian estimation of pulsar parameters from gravitational wave data
• Gravitational-wave constraints on the equatorial ellipticity of millisecond pulsars
• Targeted search for continuous gravitational waves: Bayesian versus maximum-likelihood statistics
• Hidden Markov model tracking of continuous gravitational waves from a neutron star with wandering spin
• Deep-Learning continuous gravitational waves
• Accelerating parameter inference with graphics processing units
• All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data
• Search for gravitational waves from Scorpius X-1 in the second Advanced LIGO observing run with an improved hidden Markov model
• Search for Continuous Gravitational Waves: Optimal StackSlide method at fixed computing cost
• Hidden Markov model tracking of continuous gravitational waves from a binary neutron star with wandering spin. II. Binary orbital phase tracking
• Parameter-space metric for all-sky semicoherent searches for gravitational-wave pulsars
• Flat parameter-space metric for all-sky searches for gravitational-wave pulsars
• Implementing a semicoherent search for continuous gravitational waves using optimally-constructed template banks
• Implementation of barycentric resampling for continuous wave searches in gravitational wave data
• Discovery of Millisecond Pulsars in the Globular Cluster Omega Centauri
• New searches for continuous gravitational waves from seven fast pulsars
• The search for continuous gravitational waves from small-ellipticity sources at low frequencies
• Deep exploration for continuous gravitational waves at 171--172 Hz in LIGO second observing run data
• Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic
• Resampling to accelerate cross-correlation searches for continuous gravitational waves from binary systems

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• Searches for Continuous-Wave Gravitational Radiation
• Searches for continuous gravitational waves from neutron stars: A twenty-year retrospective
• Implementation of a new weave-based search pipeline for continuous gravitational waves from known binary systems
• How much spin wandering can continuous gravitational wave search algorithms handle?
• One-stop strategy to search for long-duration gravitational-wave signals
• Learning to detect continuous gravitational waves: an open data-analysis competition