The ASKAP/EMU Source Finding Data Challenge

A. M. Hopkins; M. T. Whiting; N. Seymour; K. E. Chow; R. P. Norris; L. Bonavera; R. Breton; D. Carbone; C. Ferrari; T. M O Franzen; H. Garsden; J. González-Nuevo; C. A. Hales; P. J. Hancock; G. Heald; D. Herranz; M. Huynh; R. J. Jurek; M. López-Caniego; M. Massardi; N. Mohan; S. Molinari; E. Orrù; R. Paladino; M. Pestalozzi; R. Pizzo; D. Rafferty; H. J A Röttgering; L. Rudnick; E. Schisano; A. Shulevski; J. Swinbank; R. Taylor; A. J. van der Horst

doi:10.1017/pasa.2015.37

The ASKAP/EMU Source Finding Data Challenge

A. M. Hopkins, M. T. Whiting, N. Seymour, K. E. Chow, R. P. Norris, L. Bonavera, R. Breton, D. Carbone, C. Ferrari, T. M O Franzen, H. Garsden, J. González-Nuevo, C. A. Hales, P. J. Hancock, G. Heald, D. Herranz, M. Huynh, R. J. Jurek, M. López-Caniego, M. MassardiN. Mohan, S. Molinari, E. Orrù, R. Paladino, M. Pestalozzi, R. Pizzo, D. Rafferty, H. J A Röttgering, L. Rudnick, E. Schisano, A. Shulevski, J. Swinbank, R. Taylor, A. J. van der Horst

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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.

Original language	English (US)
Article number	e037
Journal	Publications of the Astronomical Society of Australia
Volume	32
DOIs	https://doi.org/10.1017/pasa.2015.37
State	Published - Oct 19 2015

Bibliographical note

Publisher Copyright:
© 2015 Astronomical Society of Australia.

Keywords

methods: data analysis
radio continuum: general
techniques: image processing

Publisher link

10.1017/pasa.2015.37

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Hopkins, A. M., Whiting, M. T., Seymour, N., Chow, K. E., Norris, R. P., Bonavera, L., Breton, R., Carbone, D., Ferrari, C., Franzen, T. M. O., Garsden, H., González-Nuevo, J., Hales, C. A., Hancock, P. J., Heald, G., Herranz, D., Huynh, M., Jurek, R. J., López-Caniego, M., ... van der Horst, A. J. (2015). The ASKAP/EMU Source Finding Data Challenge. Publications of the Astronomical Society of Australia, 32, Article e037. https://doi.org/10.1017/pasa.2015.37

Hopkins, AM, Whiting, MT, Seymour, N, Chow, KE, Norris, RP, Bonavera, L, Breton, R, Carbone, D, Ferrari, C, Franzen, TMO, Garsden, H, González-Nuevo, J, Hales, CA, Hancock, PJ, Heald, G, Herranz, D, Huynh, M, Jurek, RJ, López-Caniego, M, Massardi, M, Mohan, N, Molinari, S, Orrù, E, Paladino, R, Pestalozzi, M, Pizzo, R, Rafferty, D, Röttgering, HJA, Rudnick, L, Schisano, E, Shulevski, A, Swinbank, J, Taylor, R & van der Horst, AJ 2015, 'The ASKAP/EMU Source Finding Data Challenge', Publications of the Astronomical Society of Australia, vol. 32, e037. https://doi.org/10.1017/pasa.2015.37

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title = "The ASKAP/EMU Source Finding Data Challenge",

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.",

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author = "Hopkins, {A. M.} and Whiting, {M. T.} and N. Seymour and Chow, {K. E.} and Norris, {R. P.} and L. Bonavera and R. Breton and D. Carbone and C. Ferrari and Franzen, {T. M O} and H. Garsden and J. Gonz{\'a}lez-Nuevo and Hales, {C. A.} and Hancock, {P. J.} and G. Heald and D. Herranz and M. Huynh and Jurek, {R. J.} and M. L{\'o}pez-Caniego and M. Massardi and N. Mohan and S. Molinari and E. Orr{\`u} and R. Paladino and M. Pestalozzi and R. Pizzo and D. Rafferty and R{\"o}ttgering, {H. J A} and L. Rudnick and E. Schisano and A. Shulevski and J. Swinbank and R. Taylor and {van der Horst}, {A. J.}",

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month = oct,

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doi = "10.1017/pasa.2015.37",

language = "English (US)",

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AU - Hopkins, A. M.

AU - Whiting, M. T.

AU - Seymour, N.

AU - Chow, K. E.

AU - Norris, R. P.

AU - Bonavera, L.

AU - Breton, R.

AU - Carbone, D.

AU - Ferrari, C.

AU - Franzen, T. M O

AU - Garsden, H.

AU - González-Nuevo, J.

AU - Hales, C. A.

AU - Hancock, P. J.

AU - Heald, G.

AU - Herranz, D.

AU - Huynh, M.

AU - Jurek, R. J.

AU - López-Caniego, M.

AU - Massardi, M.

AU - Mohan, N.

AU - Molinari, S.

AU - Orrù, E.

AU - Paladino, R.

AU - Pestalozzi, M.

AU - Pizzo, R.

AU - Rafferty, D.

AU - Röttgering, H. J A

AU - Rudnick, L.

AU - Schisano, E.

AU - Shulevski, A.

AU - Swinbank, J.

AU - Taylor, R.

AU - van der Horst, A. J.

PY - 2015/10/19

Y1 - 2015/10/19

N2 - 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.

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KW - methods: data analysis

KW - radio continuum: general

KW - techniques: image processing

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ER -

The ASKAP/EMU Source Finding Data Challenge

Abstract

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Keywords

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