RG-CAT:EMU 试点巡天中的射电星系探测管道和目录

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder, Minh Huynh, Lars Petersson, X. Rosalind Wang, Andrew M. Hopkins, Heinz Andernach, Yjan Gordon, Simone Riggi, Miranda Yew, Evan J. Crawford, Bärbel Koribalski, Miroslav D. Filipović, Anna D. Kapińska, Stanislav Shabala, Tessa Vernstrom, Joshua R. Marvil
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引用次数: 0

摘要

我们提出了射电源探测和星表构建管道,以构建来自澳大利亚平方公里阵列探路者(ASKAP)望远镜开展的宇宙演化图(EMU-PS)270度2试点巡天中的第一份射电星系星表。探测管道使用 Gal-DINO 计算机视觉网络(Gupta 等人,2024 年)来预测射电形态和射电源边界框的类别,以及它们潜在的红外主机位置。我们发现,99%的射电源的预测边界框与地面实况边界框的交集大于 0.5,98%的预测宿主位置与评估集中的地面实况红外宿主在 3″ 以内。目录构建流水线使用经过训练的网络对射电和红外图像切面进行预测,这些预测基于使用 Selavy 源发现算法识别的射电成分目录。然后利用预测的置信度分数优先选择分数较高的 Selavy 组件,并将其首先纳入目录。结果共识别出 211625 个射电源,其中 201211 个被归类为紧凑型和未解决型。其余的 10,414 个被归类为扩展射电形态,包括 582 个 FR-I,5,602 个 FR-II,1,494 个 FR-x(不确定是 FR-I 还是 FR-II),2,375 个 R(单峰解析)射电星系,以及 361 个奇特和其他罕见形态。我们将目录中的射电源与红外和光学目录进行了交叉匹配,发现 73% 的射电星系与红外交叉匹配,36% 的射电星系与光度红移匹配。EMU-PS星表和这里介绍的探测管道将用于构建覆盖整个南天的EMU主巡天星表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
We present source detection and catalogue construction pipelines to build the first catalogue of radio galaxies from the 270 deg2 pilot survey of the Evolutionary Map of the Universe (EMU-PS) conducted with the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The detection pipeline uses Gal-DINO computer-vision networks (Gupta et al., 2024) to predict the categories of radio morphology and bounding boxes for radio sources, as well as their potential infrared host positions. The Gal-DINO network is trained and evaluated on approximately 5,000 visually inspected radio galaxies and their infrared hosts, encompassing both compact and extended radio morphologies.We find that the Intersection over Union (IoU) for the predicted and ground truth bounding boxes is larger than 0.5 for 99% of the radio sources, and 98% of predicted host positions are within 3″ of the ground truth infrared host in the evaluation set. The catalogue construction pipeline uses the predictions of the trained network on the radio and infrared image cutouts based on the catalogue of radio components identified using the Selavy source finder algorithm. Confidence scores of the predictions are then used to prioritize Selavy components with higher scores and incorporate them first into the catalogue. This results in identifications for a total of 211,625 radio sources, with 201,211 classified as compact and unresolved. The remaining 10,414 are categorized as extended radio morphologies, including 582 FR-I, 5,602 FR-II, 1,494 FR-x (uncertain whether FR-I or FR-II), 2,375 R (single-peak resolved) radio galaxies, and 361 with peculiar and other rare morphologies. Each source in the catalogue includes a confidence score.We cross-match the radio sources in the catalogue with the infrared and optical catalogues, finding infrared cross-matches for 73% and photometric redshifts for 36% of the radio galaxies. The EMU-PS catalogue and the detection pipelines presented here will be used towards constructing catalogues for the main EMU survey covering the full southern sky.
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
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.
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