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

Abstract:
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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
http://www.aspbooks.org/a/volumes/table_of_contents/527

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-1756-3064


Publisher:
Astronomical Society of the Pacific
Pages:
671-674
Series:
Astronomical Society of the Pacific Conference Series
Series number:
527
Publication date:
2020-12-31
Acceptance date:
2019-10-05
Event title:
29th Annual Conference on Astronomical Data Analysis Software and Systems (ADASS XXIX)
Event location:
Groningen, the Netherlands
Event website:
https://www.adass2019.nl/
Event start date:
2019-10-06
Event end date:
2019-10-10
EISBN:
9781583819425
ISBN:
9781583819418


Language:
English
Keywords:
Pubs id:
1071373
Local pid:
pubs:1071373
Deposit date:
2020-07-07
ARK identifier:

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