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Astroinformatics Challenges from Next-generation Radio Continuum Surveys

Published online by Cambridge University Press:  30 May 2017

Ray P. Norris Open the ORCID record for Ray P. Norris [Opens in a new window]
Ray P. Norris*
Affiliation:
Western Sydney University, Locked Bag 1797, Penrith South, NSW 1797, Australia email: raypnorris@gmail.com CSIRO Astronomy & Space Science, PO Box 76, Epping, NSW 1710, Australia
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Abstract

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The tens of millions of radio sources to be detected with next-generation surveys pose new challenges, quite apart from the obvious ones of processing speed and data volumes. For example, existing algorithms are inadequate for source extraction or cross-matching radio and optical/IR sources, and a new generation of algorithms are needed using machine learning and other techniques. The large numbers of sources enable new ways of testing astrophysical models, using a variety of “large-n astronomy” techniques such as statistical redshifts. Furthermore, while unexpected discoveries account for some of the most significant discoveries in astronomy, it will be difficult to discover the unexpected in large volumes of data, unless specific software is developed to mine the data for the unexpected.

Keywords

techniques: miscellaneousradio continuum: generalsurveyastronomical data bases: miscellaneous.
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 103 - 113
Copyright
Copyright © International Astronomical Union 2017 

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