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    WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy

    212706_139280_andre.pdf (4.589Mb)
    Access Status
    Open access
    Authors
    Offringa, A.
    McKinley, B.
    Hurley-Walker, Natasha
    Briggs, F.
    Wayth, Randall
    Kaplan, D.
    Bell, M.
    Feng, L.
    Neben, A.
    Hughes, J.
    Rhee, J.
    Murphy, T.
    Bhat, Ramesh
    Bernardi, G.
    Bowman, J.
    Cappallo, R.
    Corey, B.
    Deshpande, A.
    Emrich, David
    Ewall-Wice, A.
    Gaensler, B.
    Goeke, R.
    Greenhill, L.
    Hazelton, B.
    Hindson, L.
    Johnston-Hollitt, M.
    Jacobs, D.
    Kasper, J.
    Kratzenberg, E.
    Lenc, E.
    Lonsdale, C.
    Lynch, M.
    McWhirter, S.
    Mitchell, D.
    Morales, M.
    Morgan, E.
    Kudryavtseva, N.
    Oberoi, D.
    Ord, S.
    Pindor, B.
    Procopio, P.
    Prabu, T.
    Riding, J.
    Roshi, A.
    Shankar, N.
    Srivani, K.
    Subrahmanyan, R.
    Tingay, Steven
    Waterson, Mark
    Webster, R.
    Whitney, A.
    Williams, A.
    Williams, C.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Offringa, A. and McKinley, B. and Hurley-Walker, N. and Briggs, F. and Wayth, R. and Kaplan, D.L. and Bell, M. et al. 2014. WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy. Monthly Notices of the Royal Astronomical Society. 444 (1): pp. 606-619.
    Source Title
    Monthly Notices of the Royal Astronomical Society
    DOI
    10.1093/mnras/stu1368
    ISSN
    0035-8711
    School
    Curtin Institute of Radio Astronomy
    Remarks

    This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society, ©: 2014, The Authors, Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

    URI
    http://hdl.handle.net/20.500.11937/30694
    Collection
    • Curtin Research Publications
    Abstract

    Astronomical wide-field imaging of interferometric radio data is computationally expensive, especially for the large data volumes created by modern non-coplanar many-element arrays. We present a new wide-field interferometric imager that uses the w-stacking algorithm and can make use of the w-snapshot algorithm. The performance dependences of CASA's w-projection and our new imager are analysed and analytical functions are derived that describe the required computing cost for both imagers. On data from the Murchison Widefield Array, we find our new method to be an order of magnitude faster than w-projection, as well as being capable of full-sky imaging at full resolution and with correct polarization correction. We predict the computing costs for several other arrays and estimate that our imager is a factor of 2–12 faster, depending on the array configuration. We estimate the computing cost for imaging the low-frequency Square Kilometre Array observations to be 60 PetaFLOPS with current techniques. We find that combining w-stacking with the w-snapshot algorithm does not significantly improve computing requirements over pure w-stacking. The source code of our new imager is publicly released.

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