Hydra II: Characterisation of Aegean, Caesar, ProFound, PyBDSF, and Selavy source finders Article Swipe
M. M. Boyce
,
Andrew Hopkins
,
S. Riggi
,
L. Rudnick
,
M. Ramsay
,
C. L. Hale
,
J. Marvil
,
M. T. Whiting
,
P. Venkataraman
,
C. P. O’Dea
,
S. A. Baum
,
Yjan Gordon
,
A. N. Vantyghem
,
M. Dionyssiou
,
H. Andernach
,
J. D. Collier
,
J. English
,
B. Koribalski
,
D. A. Leahy
,
M. J. Michałowski
,
Samar Safi‐Harb
,
M. Vaccari
,
E. Alexander
,
Michael J. Cowley
,
A. D. Kapińska
,
A. S. G. Robotham
,
Hongming Tang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1017/pasa.2023.29
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1017/pasa.2023.29
We present a comparison between the performance of a selection of source finders (SFs) using a new software tool called Hydra. The companion paper, Paper I, introduced the Hydra tool and demonstrated its performance using simulated data. Here we apply Hydra to assess the performance of different source finders by analysing real observational data taken from the Evolutionary Map of the Universe (EMU) Pilot Survey. EMU is a wide-field radio continuum survey whose primary goal is to make a deep ( $20\mu$ Jy/beam RMS noise), intermediate angular resolution ( $15^{\prime\prime}$ ), 1 GHz survey of the entire sky south of $+30^{\circ}$ declination, and expecting to detect and catalogue up to 40 million sources. With the main EMU survey it is highly desirable to understand the performance of radio image SF software and to identify an approach that optimises source detection capabilities. Hydra has been developed to refine this process, as well as to deliver a range of metrics and source finding data products from multiple SFs. We present the performance of the five SFs tested here in terms of their completeness and reliability statistics, their flux density and source size measurements, and an exploration of case studies to highlight finder-specific limitations.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/pasa.2023.29
- OA Status
- hybrid
- Cited By
- 7
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379925216
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4379925216Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1017/pasa.2023.29Digital Object Identifier
- Title
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Hydra II: Characterisation of Aegean, Caesar, ProFound, PyBDSF, and Selavy source findersWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
M. M. Boyce, Andrew Hopkins, S. Riggi, L. Rudnick, M. Ramsay, C. L. Hale, J. Marvil, M. T. Whiting, P. Venkataraman, C. P. O’Dea, S. A. Baum, Yjan Gordon, A. N. Vantyghem, M. Dionyssiou, H. Andernach, J. D. Collier, J. English, B. Koribalski, D. A. Leahy, M. J. Michałowski, Samar Safi‐Harb, M. Vaccari, E. Alexander, Michael J. Cowley, A. D. Kapińska, A. S. G. Robotham, Hongming TangList of authors in order
- Landing page
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https://doi.org/10.1017/pasa.2023.29Publisher landing page
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1017/pasa.2023.29Direct OA link when available
- Concepts
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Lernaean Hydra, Declination, Physics, Sky, Software, Completeness (order theory), Computer science, Astronomy, Geography, Archaeology, Mathematical analysis, Mathematics, Programming languageTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 2, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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