M. Boyce, A. Hopkins, S. Riggi, L. Rudnick, M. Ramsay, C. Hale, J. Marvil, M. Whiting, P. Venkataraman, C. O’Dea, S. Baum, Y. Gordon, A. Vantyghem, M. Dionyssiou, H. Andernach, J. Collier, J. English, B. Koribalski, D. Leahy, M. Michałowski, S. Safi-Harb, M. Vaccari, Elaine L. Alexander, M. Cowley, A. Kapinska, A. Robotham, H. Tang
{"title":"Hydra II: Characterisation of Aegean, Caesar, ProFound, PyBDSF, and Selavy source finders","authors":"M. Boyce, A. Hopkins, S. Riggi, L. Rudnick, M. Ramsay, C. Hale, J. Marvil, M. Whiting, P. Venkataraman, C. O’Dea, S. Baum, Y. Gordon, A. Vantyghem, M. Dionyssiou, H. Andernach, J. Collier, J. English, B. Koribalski, D. Leahy, M. Michałowski, S. Safi-Harb, M. Vaccari, Elaine L. Alexander, M. Cowley, A. Kapinska, A. Robotham, H. Tang","doi":"10.1017/pasa.2023.29","DOIUrl":null,"url":null,"abstract":"Abstract 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 ( \n$20\\mu$\n Jy/beam RMS noise), intermediate angular resolution ( \n$15^{\\prime\\prime}$\n ), 1 GHz survey of the entire sky south of \n$+30^{\\circ}$\n 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.","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1017/pasa.2023.29","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract 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.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.