The ASKAP/EMU Source Finding Data Challenge
- Creators
- Hopkins, A.
- Whiting, M.
- Seymour, N.
- Chow, K.
- Norris, R.
- Bonavera, L.
- Breton, R.
- Carbone, D.
- Ferrari, C.
- Franzen, T.
- Garsden, H.
- González-Nuevo, J.
- Hales, C.
- Hancock, P.
- Heald, G.
- Herranz, D.
- Huynh, M.
- Jurek, R.
- López-Caniego, M.
- Massardi, M.
- Mohan, N.
- Molinari, S.
- Orrù, E.
- Paladino, R.
- Pestalozzi, M.
- Pizzo, R.
- Rafferty, D.
- Röttgering, H.
- Rudnick, L.
- Schisano, E.
- Shulevski, A.
- Swinbank, J.
- Taylor, R.
- van Der Horst, A.
- Others:
- The Royal College Sciences
- International Center for Radio Astronomy Research ; Curtin University [Perth] ; Planning and Transport Research Centre (PATREC)-Planning and Transport Research Centre (PATREC)
- CSIRO Astronomy and Space Science ; Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO)
- University of Amsterdam [Amsterdam] (UvA)
- Joseph Louis LAGRANGE (LAGRANGE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)
- Harvard-Smithsonian Center for Astrophysics (CfA) ; Harvard University [Cambridge]-Smithsonian Institution
- Netherlands Institute for Radio Astronomy (ASTRON)
- Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Direction Centre-Est (Cerema Direction Centre-Est) ; Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)
Description
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.
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-03648691
- URN
- urn:oai:HAL:hal-03648691v1
- Origin repository
- UNICA