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Publications of the Astronomical Society of Australia Publications of the Astronomical Society of Australia Society
Publications of the Astronomical Society of Australia
RESEARCH ARTICLE (Open Access)

Comparison of Potential ASKAP Hi Survey Source Finders

A. Popping A E , R. Jurek B , T. Westmeier A , P. Serra A , L. Flöer D , M. Meyer A and B. Koribalski B
+ Author Affiliations
- Author Affiliations

A International Centre for Radio Astronomy Research (ICRAR), The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia

B Australia Telescope National Facility, CSIRO Astronomy and Space Science, PO Box 76, Epping, NSW 1710, Australia

C Netherlands Institute for Radio Astronomy (ASTRON), Postbus 2, 7990 AA Dwingeloo, The Netherlands

D Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany

E Corresponding author. Email: attila.popping@icrar.org

Publications of the Astronomical Society of Australia 29(3) 318-339 https://doi.org/10.1071/AS11067
Submitted: 8 November 2011  Accepted: 19 January 2012   Published: 24 February 2012

Journal Compilation © Astronomical Society of Australia 2012

Abstract

The large size of the ASKAP Hi surveys DINGO and WALLABY necessitates automated 3D source finding. A performance difference of a few percent corresponds to a significant number of galaxies being detected or undetected. As such, the performance of the automated source finding is of paramount importance to both of these surveys. We have analysed the performance of various source finders to determine which will allow us to meet our survey goals during the DINGO and WALLABY design studies. Here we present a comparison of the performance of five different methods of automated source finding. These source finders are duchamp, gamma-finder, a cnhi finder, a 2d–1d wavelet reconstruction finder and a sigma clipping method (s+c finder). Each source finder was applied to the same three-dimensional data cubes containing (a) point sources with a Gaussian velocity profile and (b) spatially extended model-galaxies with inclinations and rotation profiles. We focus on the completeness and reliability of each algorithm when comparing the performance of the different source finders.

Keywords: methods: data analysis


References

Boyce, P., 2003, MSc Dissertation, University of Cardiff

Deboer, D. R. et al., 2009, IEEEP, 97, 1507

Dewdney, P. E., Hall, P. J., Schilizzi, R. T. and Lazio, T. J. L., 2009, IEEEP, 97, 1482

Driver, S. P. et al., 1999, A&G, 50, 12

Flöer, L. and Winkel, B., 2012, PASA, 29, 244
Crossref | GoogleScholarGoogle Scholar |

Haynes, M. P. et al., 2011, AJ, 142, 170

Hibbard, J. E., van Gorkom, J. H., Rupen, M. P. and Schiminovich, D., 2001, ASPC, 240, 657

Johnston, S. et al., 2008, ExA, 22, 151

Jonas, J. L., 2009, IEEEP, 97, 1522

Jones, A. J., Evans, D., Margetts, S. & Durrant, P. J., 2002, in Heuristic and Optimization for Knowledge Discovery, ed. H. A. Abbass, C. S. Newton & R. Sarker (Hershey: Idea Group Publishing), 142

Jurek, R., 2012, PASA, 29, 251
Crossref | GoogleScholarGoogle Scholar |

Koribalski, B. S. & Staveley-Smith, L., 2009, ASKAP Survey Science Proposal

Koribalski, B. S. et al., 2004, AJ, 128, 16
| 1:CAS:528:DC%2BD2cXmsVagt7Y%3D&md5=7e2f111351d39252b92d0fdc54b66155CAS |

Meyer, M. J. et al., 2004, MNRAS, 350, 1195
Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXls1Sjurc%3D&md5=a45ea5e988dc074b2b07256ef6e8123aCAS |

Meyer, M., 2009, in Panoramic Radio Astronomy: Wide-field 1–2 GHz Research on Galaxy Evolution, ed. G. Heald & P. Serra, Proceedings of Science, PoS(PRA2009)015

Minchin, R. F. et al., 2003, MNRAS, 346, 787
Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXksVeluw%3D%3D&md5=59d741392ccfa81c0dc56bead90a29d7CAS |

Putman, M. E. et al., 2002, AJ, 123, 873

Serra, P., et al., 2011, MNRAS, submitted

Serra, P., Jurek, R. and Flöer, L., 2012, PASA, 29, 296
Crossref | GoogleScholarGoogle Scholar |

Springob, C. M. et al., 2005, ApJS, 160, 149
Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtVOltLrM&md5=cad0e3887dc85b70c3c31524f2de3d8fCAS |

Starck, J. L., Fadili, J. M., Digel, S., Zhang, B. and Chiang, J., 2009, A&A, 504, 641
| 1:CAS:528:DC%2BD1MXhtlWltb%2FK&md5=2fe64a2a0de6b31befa1832bb5853536CAS |

Stefansson, A., Koncar, N. and Jones, A. J., 1997, Neural Computing and Applications, 5, 131
Crossref | GoogleScholarGoogle Scholar |

Verheijen, M. A. W., Oosterloo, T. A., van Cappellen, W. A., Bakker, L., Ivashina, M. V. and van der Hulst, J. M., 2008, AIPC, 1035, 265
| 1:CAS:528:DC%2BD1cXpslSjt7s%3D&md5=7c0ea63b8a7ed621fd049d877fc5e414CAS |

Westmeier, T., Popping, A. and Serra, P., 2012, PASA, 29, 276
Crossref | GoogleScholarGoogle Scholar |

Whiting, M. T., 2011, MNRAS, arXiv1201.2710