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|Title:||The ASKAP/EMU Source Finding Data Challenge||Authors:||Hopkins, A. M.
Whiting, M. T.
Chow, K. E.
Norris, R. P.
Franzen, T. M. O.
Hales, C. A.
Hancock, P. J.
Jurek, R. J.
Röttgering, H. J. A.
van der Horst, A. J.
|Issue Date:||2015||Journal:||PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA||Number:||32||First Page:||e037||Abstract:||The Evolutionary Map of the Universe (EMU) is a proposed radio continuum survey of the Southern Hemisphere up to declination + 30°, with the Australian Square Kilometre Array Pathfinder (ASKAP). EMU will use an automated source identification and measurement approach that is demonstrably optimal, to maximise the reliability and robustness of the resulting radio source catalogues. As a step toward this goal we conducted a "Data Challenge" to test a variety of source finders on simulated images. The aim is to quantify the accuracy and limitations of existing automated source finding and measurement approaches. The Challenge initiators also tested the current ASKAPsoft source-finding tool to establish how it could benefit from incorporating successful features of the other tools. As expected, most finders show completeness around 100% at ≈ 10σ dropping to about 10% by ≈ 5σ. Reliability is typically close to 100% at ≈ 10σ, with performance to lower sensitivities varying between finders. All finders show the expected trade-off, where a high completeness at low signal-to-noise gives a corresponding reduction in reliability, and vice versa. We conclude with a series of recommendations for improving the performance of the ASKAPsoft source-finding tool. <P />||Acknowledgments:||ACKNOWLEDGEMENTS We thank the referee for suggestions that have helped to improve the accuracy and presentation of this work. This work was supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. NS is the recipient of an ARC Future Fellowship. The LOFAR team acknowledges Hanno Spreeuw as the original developer of PySE. The IFCA team acknowledge Spanish MINECO Projects AYA2012-39475-C02-01 and Consolider-Ingenio 2010 CSD2010-00064. RPB has received funding from the European Union Seventh Framework Programme under grant agreement PIIF-GA-2012-332393. CF acknowledges financial support the ‘Agence Nationale de la Recherche’ through grant ANR-09-JCJC-0001-01 and ANR-14-CE23-0004-01. HG acknowledges financial support from the UnivEarthS Labex program of Sorbonne Paris Cité (ANR-10-LABX-0023 and ANR-11-IDEX-0005-02). PH has been supported by the Australian Research Council through the Super Science Fellowship grant FS100100033. SM and MP acknowledge funding from Contracts I/038/080/0 and I/029/12/0 from Agenzia Spaziale Italiana. JGN acknowledges financial support from the Spanish MINECO for a ‘Ramon y Cajal’ fellowship, cofunded by the European Social Fund. LR acknowledges support from the US National Science Foundation under grant AST12-11595 to the University of Minnesota. ES acknowledges support, at the date of this work, from the NASA Astrophysics Data Analysis Program grant NNX12AE18G. Parts of this research were supported by the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), under grant number CE110001020. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc.||URI:||http://hdl.handle.net/20.500.12386/24102||URL:||https://www.cambridge.org/core/journals/publications-of-the-astronomical-society-of-australia/article/askapemu-source-finding-data-challenge/A6C846F3ABB0105F026E3BD6B6EB9D19||ISSN:||1448-6083||DOI:||10.1017/pasa.2015.37||Bibcode ADS:||2015PASA...32...37H||Fulltext:||open|
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