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Searching for pulsars in extreme orbits -- GPU acceleration of the Fourier domain 'jerk' search

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arxiv 1911.01353 v1 pith:IQZNBRHV submitted 2019-11-04 astro-ph.IM

Searching for pulsars in extreme orbits -- GPU acceleration of the Fourier domain 'jerk' search

classification astro-ph.IM
keywords accelerationdomainfourierjerksearchransombinarymatched
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Binary pulsars are an important target for radio surveys because they present a natural laboratory for a wide range of astrophysics for example testing general relativity, including detection of gravitational waves. The orbital motion of a pulsar which is locked in a binary system causes a frequency shift (a Doppler shift) in their normally very periodic pulse emissions. These shifts cause a reduction in the sensitivity of traditional periodicity searches. To correct this smearing Ransom [2001], Ransom et al. [2002] developed the Fourier domain acceleration search (FDAS) which uses a matched filtering technique. This method is however limited to a constant pulsar acceleration. Therefore, Andersen and Ransom [2018] broadened the Fourier domain acceleration search to account also for a linear change in the acceleration by implementing the Fourier domain "jerk" search into the PRESTO software package. This extension increases the number of matched filters used significantly. We have implemented the Fourier domain "jerk" search (JERK) on GPUs using CUDA. We have achieved 90x performance increase when compared to the parallel implementation of JERK in PRESTO. This work is part of the AstroAccelerate project Armour et al. [2019], a many-core accelerated time-domain signal processing library for radio astronomy.

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    SKA-MID and SKA-LOW are predicted to discover 150–1700 new pulsars in Galactic globular clusters, more than doubling the current population of 345.