Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-20T02:47:53.127Z Has data issue: false hasContentIssue false
  • English
  • Français

Assessing the Accuracy of Radio Astronomy Source-Finding Algorithms

Published online by Cambridge University Press:  02 January 2013

S. Westerlund ,
C. Harris  and
T. Westmeier
S. Westerlund*
Affiliation:
ICRAR/University of Western Australia, M468 35 Stirling Highway, Crawley, WA 6009, Australia
C. Harris
Affiliation:
ICRAR/University of Western Australia, M468 35 Stirling Highway, Crawley, WA 6009, Australia
T. Westmeier
Affiliation:
ICRAR/University of Western Australia, M468 35 Stirling Highway, Crawley, WA 6009, Australia
*
BCorresponding author. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This work presents a method for determining the accuracy of a source finder algorithm for spectral line radio astronomy data and the Source Finder Accuracy Evaluator (SFAE), a program that implements this method. The accuracy of a source finder is defined in terms of its completeness, reliability, and accuracy of the parameterisation of the sources that were found. These values are calculated by executing the source finder on an image with a known source catalogue, then comparing the output of the source finder to the known catalogue. The intended uses of SFAE include determining the most accurate source finders for use in a survey, determining the types of radio sources a particular source finder is capable of accurately locating, and identifying optimum parameters and areas of improvement for these algorithms. This paper demonstrates a sample of accuracy information that can be obtained through this method, using a simulated ASKAP data cube and the duchamp source finder.

Keywords

methods: data analysis
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 29 , Special Issue 3: Source Finding and Visualisation , 2012 , pp. 301 - 308
Copyright
Copyright © Astronomical Society of Australia 2012

References

Barnes, D. G., et al. , 2001, MNRAS, 322, 486CrossRefGoogle Scholar
DeBoer, D., et al. , 2009, Proc. IEEE, 97, 1507CrossRefGoogle Scholar
Edmonds, J. & Karp, R. M., 1972, JACM, 19, 248CrossRefGoogle Scholar
Koribalski, B. S. & Staveley-Smith, L., 2009, Proposal for WALLABY: Widef ield ASKAP L-Band Legacy All-Sky Blind Survey, available at http://www.atnf.csiro.au/research/WALLABY/proposal.html, last accessed 2011 September 9Google Scholar
Kuhn, H., 1955, Nav. Res. Log., 2, 83CrossRefGoogle Scholar
Meyer, M., et al. , 2004, MNRAS, 350, 1195CrossRefGoogle Scholar
Obreschkow, D., Klöckner, H.-R., Heywood, I., Levrier, F. & Rawlings, S., 2009, ApJ, 703, 1890CrossRefGoogle Scholar
Sault, B. & Killeen, N., 2008, Miriad Multichannel Image Reconstruction, Image Analysis and Display Users Guide, available at http://www.atnf.csiro.au/computing/software/miriad/, last accessed 2010 December 15Google Scholar
Warren, B. E., 2011, Sky Tessellation Patterns for Field Placement for the All-Sky HI Survey WALLABY, Tech. Rep.Google Scholar
Westerlund, S., 2010, iVEC Internship Report, available at http://www.icrar.org/__data/assets/pdf_file/0006/1750866/stefan_westerlund_ivec_report.pdf, last accessed 2011 July 21Google Scholar
Whiting, M. T., 2012, MNRAS, in press (ArXiv 1201.2710)Google Scholar
Whiting, M., 2010, ASKAP Simulations, Set #2, available at http://www.atnf.csiro.au/people/Matthew.Whiting/ASKAPsimulations, last accessed 2010 December 15Google Scholar
Zwaan, M. A., et al. , 2004, MNRAS, 350, 1210CrossRefGoogle Scholar