Methodology for Source Extraction in Radio Astronomical Data Cubes

Details Methodology for Source Extraction in Radio Astronomical Data Cubes Methodology for Source Extraction in Radio Astronomical Data Cubes

May 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21641503s&link_type=abstract

American Astronomical Society, AAS Meeting #216, #415.03; Bulletin of the American Astronomical Society, Vol. 41, p.825

Astronomy and Astrophysics

Astronomy

Scientific paper

Modern radio surveys produce extremely large 3-dimensional datasets that are becoming impossible to efficiently analyze by eye alone. Since these datasets are generally synthesized by combining data captured by a number of different radio telescope pointings, the degree of noise present is a function of position. As such, current computing algorithms designed to find radio sources in radio datasets (such as Source-Extractor) are plagued by false positives due to the amount of noise in unexpected regions. We created an algorithm in IDL that removes the novel noise pattern generated by this survey method and locates the radio sources within the dataset. While it has not yet been released for public use, the algorithm has successfully located and cataloged radio sources for the datasets used in testing.

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