Hydra I: an extensible multi-source-finder comparison and cataloguing tool

M. M. Boyce; A. M. Hopkins; S. Riggi; L. Rudnick; M. Ramsay; C. L. Hale; J. Marvil; M. T. Whiting; P. Venkataraman; C. P. O'Dea; S. A. Baum; Y. A. Gordon; A. N. Vantyghem; M. Dionyssiou; H. Andernach; J. D. Collier; J. English; B. S. Koribalski; D. Leahy; M. J. Michałowski; S. Safi-Harb; M. Vaccari; E. L. Alexander; M. Cowley; A. D. Kapinska; A. S. G. Robotham; H. Tang

doi:10.1017/pasa.2023.24

Hydra I: an extensible multi-source-finder comparison and cataloguing tool

M. M. Boyce^*, A. M. Hopkins, S. Riggi, L. Rudnick, M. Ramsay, C. L. Hale, J. Marvil, M. T. Whiting, P. Venkataraman, C. P. O'Dea, S. A. Baum, Y. A. Gordon, A. N. Vantyghem, M. Dionyssiou, H. Andernach, J. D. Collier, J. English, B. S. Koribalski, D. Leahy, M. J. MichałowskiS. Safi-Harb, M. Vaccari, E. L. Alexander, M. Cowley, A. D. Kapinska, A. S. G. Robotham, H. Tang

^*Corresponding author for this work

Australian Astronomical Optics

Research output: Contribution to journal › Article › peer-review

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Abstract

The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the performance of radio image source finder (SF) software and to identify an approach that optimises source detection capabilities. We have created Hydra to be an extensible multi-SF and cataloguing tool that can be used to compare and evaluate different SFs. Hydra, which currently includes the SFs Aegean, Caesar, ProFound, PyBDSF, and Selavy, provides for the addition of new SFs through containerisation and configuration files. The SF input RMS noise and island parameters are optimised to a 90% ‘percentage real detections’ threshold (calculated from the difference between detections in the real and inverted images), to enable comparison between SFs. Hydra provides completeness and reliability diagnostics through observed-deep (D) and generated-shallow (S) images, as well as other statistics. In addition, it has a visual inspection tool for comparing residual images through various selection filters, such as S/N bins in completeness or reliability. The tool allows the user to easily compare and evaluate different SFs in order to choose their desired SF, or a combination thereof. This paper is part one of a two part series. In this paper we introduce the Hydra software suite and validate its D/S metrics using simulated data. The companion paper demonstrates the utility of Hydra by comparing the performance of SFs using both simulated and real images.

Original language	English
Article number	e028
Pages (from-to)	1-24
Number of pages	24
Journal	Publications of the Astronomical Society of Australia
Volume	40
DOIs	https://doi.org/10.1017/pasa.2023.24
Publication status	Published - 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

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

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10.1017/pasa.2023.24Licence: CC BY

Publisher version (open access)Final published version, 3.56 MBLicence: CC BY

Cite this

Boyce, M. M., Hopkins, A. M., Riggi, S., Rudnick, L., Ramsay, M., Hale, C. L., Marvil, J., Whiting, M. T., Venkataraman, P., O'Dea, C. P., Baum, S. A., Gordon, Y. A., Vantyghem, A. N., Dionyssiou, M., Andernach, H., Collier, J. D., English, J., Koribalski, B. S., Leahy, D., ... Tang, H. (2023). Hydra I: an extensible multi-source-finder comparison and cataloguing tool. Publications of the Astronomical Society of Australia, 40, 1-24. Article e028. https://doi.org/10.1017/pasa.2023.24

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title = "Hydra I: an extensible multi-source-finder comparison and cataloguing tool",

abstract = "The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the performance of radio image source finder (SF) software and to identify an approach that optimises source detection capabilities. We have created Hydra to be an extensible multi-SF and cataloguing tool that can be used to compare and evaluate different SFs. Hydra, which currently includes the SFs Aegean, Caesar, ProFound, PyBDSF, and Selavy, provides for the addition of new SFs through containerisation and configuration files. The SF input RMS noise and island parameters are optimised to a 90\% {\textquoteleft}percentage real detections{\textquoteright} threshold (calculated from the difference between detections in the real and inverted images), to enable comparison between SFs. Hydra provides completeness and reliability diagnostics through observed-deep (D) and generated-shallow (S) images, as well as other statistics. In addition, it has a visual inspection tool for comparing residual images through various selection filters, such as S/N bins in completeness or reliability. The tool allows the user to easily compare and evaluate different SFs in order to choose their desired SF, or a combination thereof. This paper is part one of a two part series. In this paper we introduce the Hydra software suite and validate its D/S metrics using simulated data. The companion paper demonstrates the utility of Hydra by comparing the performance of SFs using both simulated and real images.",

keywords = "methods: data analysis, radio continuum: general, techniques: image processing",

author = "Boyce, \{M. M.\} and Hopkins, \{A. M.\} and S. Riggi and L. Rudnick and M. Ramsay and Hale, \{C. L.\} and J. Marvil and Whiting, \{M. T.\} and P. Venkataraman and O'Dea, \{C. P.\} and Baum, \{S. A.\} and Gordon, \{Y. A.\} and Vantyghem, \{A. N.\} and M. Dionyssiou and H. Andernach and Collier, \{J. D.\} and J. English and Koribalski, \{B. S.\} and D. Leahy and Micha{\l}owski, \{M. J.\} and S. Safi-Harb and M. Vaccari and Alexander, \{E. L.\} and M. Cowley and Kapinska, \{A. D.\} and Robotham, \{A. S. G.\} and H. Tang",

note = "Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2023",

doi = "10.1017/pasa.2023.24",

language = "English",

volume = "40",

pages = "1--24",

journal = "Publications of the Astronomical Society of Australia",

issn = "1323-3580",

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Boyce, MM, Hopkins, AM, Riggi, S, Rudnick, L, Ramsay, M, Hale, CL, Marvil, J, Whiting, MT, Venkataraman, P, O'Dea, CP, Baum, SA, Gordon, YA, Vantyghem, AN, Dionyssiou, M, Andernach, H, Collier, JD, English, J, Koribalski, BS, Leahy, D, Michałowski, MJ, Safi-Harb, S, Vaccari, M, Alexander, EL, Cowley, M, Kapinska, AD, Robotham, ASG & Tang, H 2023, 'Hydra I: an extensible multi-source-finder comparison and cataloguing tool', Publications of the Astronomical Society of Australia, vol. 40, e028, pp. 1-24. https://doi.org/10.1017/pasa.2023.24

TY - JOUR

T1 - Hydra I

T2 - an extensible multi-source-finder comparison and cataloguing tool

AU - Boyce, M. M.

AU - Hopkins, A. M.

AU - Riggi, S.

AU - Rudnick, L.

AU - Ramsay, M.

AU - Hale, C. L.

AU - Marvil, J.

AU - Whiting, M. T.

AU - Venkataraman, P.

AU - O'Dea, C. P.

AU - Baum, S. A.

AU - Gordon, Y. A.

AU - Vantyghem, A. N.

AU - Dionyssiou, M.

AU - Andernach, H.

AU - Collier, J. D.

AU - English, J.

AU - Koribalski, B. S.

AU - Leahy, D.

AU - Michałowski, M. J.

AU - Safi-Harb, S.

AU - Vaccari, M.

AU - Alexander, E. L.

AU - Cowley, M.

AU - Kapinska, A. D.

AU - Robotham, A. S. G.

AU - Tang, H.

N1 - Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2023

Y1 - 2023

N2 - The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the performance of radio image source finder (SF) software and to identify an approach that optimises source detection capabilities. We have created Hydra to be an extensible multi-SF and cataloguing tool that can be used to compare and evaluate different SFs. Hydra, which currently includes the SFs Aegean, Caesar, ProFound, PyBDSF, and Selavy, provides for the addition of new SFs through containerisation and configuration files. The SF input RMS noise and island parameters are optimised to a 90% ‘percentage real detections’ threshold (calculated from the difference between detections in the real and inverted images), to enable comparison between SFs. Hydra provides completeness and reliability diagnostics through observed-deep (D) and generated-shallow (S) images, as well as other statistics. In addition, it has a visual inspection tool for comparing residual images through various selection filters, such as S/N bins in completeness or reliability. The tool allows the user to easily compare and evaluate different SFs in order to choose their desired SF, or a combination thereof. This paper is part one of a two part series. In this paper we introduce the Hydra software suite and validate its D/S metrics using simulated data. The companion paper demonstrates the utility of Hydra by comparing the performance of SFs using both simulated and real images.

AB - The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the performance of radio image source finder (SF) software and to identify an approach that optimises source detection capabilities. We have created Hydra to be an extensible multi-SF and cataloguing tool that can be used to compare and evaluate different SFs. Hydra, which currently includes the SFs Aegean, Caesar, ProFound, PyBDSF, and Selavy, provides for the addition of new SFs through containerisation and configuration files. The SF input RMS noise and island parameters are optimised to a 90% ‘percentage real detections’ threshold (calculated from the difference between detections in the real and inverted images), to enable comparison between SFs. Hydra provides completeness and reliability diagnostics through observed-deep (D) and generated-shallow (S) images, as well as other statistics. In addition, it has a visual inspection tool for comparing residual images through various selection filters, such as S/N bins in completeness or reliability. The tool allows the user to easily compare and evaluate different SFs in order to choose their desired SF, or a combination thereof. This paper is part one of a two part series. In this paper we introduce the Hydra software suite and validate its D/S metrics using simulated data. The companion paper demonstrates the utility of Hydra by comparing the performance of SFs using both simulated and real images.

KW - methods: data analysis

KW - radio continuum: general

KW - techniques: image processing

UR - https://www.scopus.com/pages/publications/85162231253

UR - http://purl.org/au-research/grants/arc/FT200100375

U2 - 10.1017/pasa.2023.24

DO - 10.1017/pasa.2023.24

M3 - Article

AN - SCOPUS:85162231253

SN - 1323-3580

VL - 40

SP - 1

EP - 24

JO - Publications of the Astronomical Society of Australia

JF - Publications of the Astronomical Society of Australia

M1 - e028

ER -

Hydra I: an extensible multi-source-finder comparison and cataloguing tool

Abstract

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Keywords

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