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    A Matched Filter Technique for Slow Radio Transient Detection and First Demonstration with the Murchison Widefield Array

    260964.pdf (3.158Mb)
    Access Status
    Open access
    Authors
    Feng, L.
    Vaulin, R.
    Hewitt, J.
    Remillard, R.
    Kaplan, D.
    Murphy, T.
    Kudryavtseva, N.
    Hancock, Paul
    Bernardi, G.
    Bowman, J.
    Briggs, F.
    Cappallo, R.
    Deshpande, A.
    Gaensler, B.
    Greenhill, L.
    Hazelton, B.
    Johnston-Hollitt, M.
    Lonsdale, C.
    McWhirter, S.
    Mitchell, D.
    Morales, M.
    Morgan, E.
    Oberoi, D.
    Ord, S.
    Prabu, T.
    Shankar, N.
    Srivani, K.
    Subrahmanyan, R.
    Tingay, Steven
    Wayth, Randall
    Webster, R.
    Williams, Andrew
    Williams, C.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Feng, L. and Vaulin, R. and Hewitt, J. and Remillard, R. and Kaplan, D. and Murphy, T. and Kudryavtseva, N. et al. 2017. A Matched Filter Technique for Slow Radio Transient Detection and First Demonstration with the Murchison Widefield Array. Astronomical Journal. 153: 98.
    Source Title
    Astronomical Journal
    DOI
    10.3847/1538-3881/153/3/98
    ISSN
    0004-6256
    School
    Curtin Institute of Radio Astronomy (Physics)
    Remarks

    Copyright © 2017 The American Astronomical Society. All rights reserved.

    URI
    http://hdl.handle.net/20.500.11937/62347
    Collection
    • Curtin Research Publications
    Abstract

    Many astronomical sources produce transient phenomena at radio frequencies, but the transient sky at low frequencies ( < 300 MHz) remains relatively unexplored. Blind surveys with new wide-field radio instruments are setting increasingly stringent limits on the transient surface density on various timescales. Although many of these instruments are limited by classical confusion noise from an ensemble of faint, unresolved sources, one can in principle detect transients below the classical confusion limit to the extent that the classical confusion noise is independent of time. We develop a technique for detecting radio transients that is based on temporal matched filters applied directly to time series of images, rather than relying on source-finding algorithms applied to individual images. This technique has well-defined statistical properties and is applicable to variable and transient searches for both confusion-limited and non-confusion-limited instruments. Using the Murchison Widefield Array as an example, we demonstrate that the technique works well on real data despite the presence of classical confusion noise, sidelobe confusion noise, and other systematic errors. We searched for transients lasting between 2 minutes and 3 months. We found no transients and set improved upper limits on the transient surface density at 182 MHz for flux densities between ~20 and 200 mJy, providing the best limits to date for hour- and month-long transients.

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