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    A GPU based Transient Dedisersion Search Engine for CRAFT

    154778_154778.pdf (935.5Kb)
    Access Status
    Open access
    Authors
    Dodson, R.
    Harris, C.
    Pal, S.
    Wayth, Randall
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Dodson, Richard and Harris, Christopher and Pal, Sabyasachi and Wayth, Randall. 2010. A GPU based Transient Dedisersion Search Engine for CRAFT, ISKAF 2010 Science Meeting, Jun 10 2010. Assen, Netherlands: Proceedings of Science.
    Source Title
    Proceedings of the ISKAF2010 Science Meeting
    Source Conference
    ISKAF2010 Science Meeting
    School
    Curtin Institute of Radio Astronomy
    Remarks

    Copyright © 2010 Proceedings of Science. Additional Information: The author(s) and right holder(s) of such contributions grant(s) to all users a free, irrevocable, worldwide, right of access to, and a license to copy, use, distribute, transmit and display the work publicly and to make and distribute derivative works, in any digital medium for any responsible purpose, subject to proper attribution of authorship (community standards, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now), as well as the right to make small numbers of printed copies for their personal use.

    URI
    http://hdl.handle.net/20.500.11937/24755
    Collection
    • Curtin Research Publications
    Abstract

    The Commensal Realtime ASKAP Fast Transient Survey (CRAFT[5]) will search the ASKAP data stream for fast (< 5sec) transient events, associated with the most extreme conditions in the Universe. The CRAFT search will run in parallel with all normal observing on ASKAP, giving a tremendous advance in the transient parameter space which can be searched. ASKAP offers high sensitivity, high resolution, and continous observations of a significant portion of the sky. However, to search across the wide field of view and at the data rates which are being provided by ASKAP is extremely challenging. Nevertheless, as reported here, we are on track to achieve the goals as laid out in the Survey Science Proposal. Using GPUs as a simple highly parallel compute-engine we can monitor the full field of view with a 5(sigma) sensitivity of ~Jy for a millisecond event covering the astronomically significant range of DMs. After that trigger detection we can download the beamformer data-buffer and image the sky at full sensitivity and spatial resolution with an arbitary frequency and time resolution.

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