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

dc.contributor.authorThorat, K.
dc.contributor.authorSubrahmanyan, Ravi
dc.contributor.authorSaripalli, Lakshmi
dc.contributor.authorEkers, R.D.
dc.date.accessioned2013-01-29T06:58:17Z
dc.date.available2013-01-29T06:58:17Z
dc.date.issued2013-01
dc.descriptionRestricted Access. An open-access version is available at arXiv.org. Articles older than 2 years are open to all at the journal siteen
dc.description.abstractThe 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. 00h35m00s, 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.en
dc.identifier.citationThe Astrophysical Journal , 2013, Vol,762, p16en
dc.identifier.issn0004-637X
dc.identifier.issn1538-4357 (Online)
dc.identifier.urihttp://hdl.handle.net/2289/5386
dc.language.isoenen
dc.publisherIOP Publishing for the American Astronomical Societyen
dc.relation.urihttp://arxiv.org/abs/1202.0134en
dc.relation.urihttp://dx.doi.org/10.1088/0004-637X/762/1/16en
dc.relation.urihttp://adsabs.harvard.edu/abs/2013ApJ...762...16Ten
dc.rights2013 The American Astronomical Societyen
dc.subjectcatalogs methodsen
dc.subjectdata analysis radio continuumen
dc.subjectgalaxies surveysen
dc.titleHigh-resolution imaging of the ATLBS regions:The radio source countsen
dc.typeArticleen

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