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    High-resolution imaging of the ATLBS regions: The radio source counts

    Access Status
    Open access via publisher
    Authors
    Thorat, K.
    Subrahmanyan, R.
    Saripalli, L.
    Ekers, Ronald
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Thorat, K. and Subrahmanyan, R. and Saripalli, L. and Ekers, R. 2013. High-resolution imaging of the ATLBS regions: The radio source counts. Astrophysical Journal. 762 (1).
    Source Title
    Astrophysical Journal
    DOI
    10.1088/0004-637X/762/1/16
    ISSN
    0004-637X
    School
    Curtin Institute of Radio Astronomy (Engineering)
    URI
    http://hdl.handle.net/20.500.11937/40930
    Collection
    • Curtin Research Publications
    Abstract

    The Australia Telescope Low-brightness Survey (ATLBS) regions have been mosaic imaged at a radio frequency of 1.4 GHz with 6? angular resolution and 72 µJy beam-1 rms noise. The images (centered at R.A. 00 h35m00s, decl. -67°00'00? and R.A. 00h59m17s, decl. - 67°00'00?, J2000 epoch) cover 8.42 deg2 sky area and have no artifacts or imaging errors above the image thermal noise. Multi-resolution radio and optical r-band images (made using the 4 m CTIO Blanco telescope) were used to recognize multi-component sources and prepare a source list; the detection threshold was 0.38 mJy in a low-resolution radio image made with beam FWHM of 50?. Radio source counts in the flux density range 0.4-8.7 mJy are estimated, with corrections applied for noise bias, effective area correction, and resolution bias. The resolution bias is mitigated using low-resolution radio images, while effects of source confusion are removed by using high-resolution images for identifying blended sources. Below 1 mJy the ATLBS counts are systematically lower than the previous estimates. Showing no evidence for an upturn down to 0.4 mJy, they do not require any changes in the radio source population down to the limit of the survey. The work suggests that automated image analysis for counts may be dependent on the ability of the imaging to reproduce connecting emission with low surface brightness and on the ability of the algorithm to recognize sources, which may require that source finding algorithms effectively work with multi-resolution and multi-wavelength data. The work underscores the importance of using source lists - as opposed to component lists - and correcting for the noise bias in order to precisely estimate counts close to the image noise and determine the upturn at sub-mJy flux density. © 2013. The American Astronomical Society. All rights reserved.

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