论文标题
用机器学习检测到的四边形结构的独特的,带环的无线电源
A unique, ring-like radio source with quadrilateral structure detected with machine learning
论文作者
论文摘要
我们使用机器学习异常检测框架天文学报告了Meerkat Galaxy群集遗产调查(MGCL)中发现独特对象的发现。这个奇怪的,类似环的来源距离以Abell 209为中心的MGCLS场30',并且不容易通过简单的物理模型来解释。在红移0.55处假定的主机星系时,光度(10^25 w/hz)与强大的射电星系相当。该来源由175 kpc的发射环,四边形增强的亮度区域,与无线电飞机相似,两个“耳朵”隔开了368 kpc,以及一个弥散的信封。所有结构看起来都陡峭,范围为-1.0至-1.5。除亮斑(<10%)外,该环具有高极化(25%)。我们将此来源与最近在ASKAP数据中发现的奇数无线电圆圈进行了比较,并讨论了几种可能的物理模型,包括Starburst活动的终止冲击,最终的射电星系和超大型黑洞合并事件。没有简单的模型可以轻松解释源的观察到的结构。这项工作以及其他最新发现都证明了无监督的机器学习在挖掘大型数据集中为科学有趣的来源的力量。
We report the discovery of a unique object in the MeerKAT Galaxy Cluster Legacy Survey (MGCLS) using the machine learning anomaly detection framework Astronomaly. This strange, ring-like source is 30' from the MGCLS field centred on Abell 209, and is not readily explained by simple physical models. With an assumed host galaxy at redshift 0.55, the luminosity (10^25 W/Hz) is comparable to powerful radio galaxies. The source consists of a ring of emission 175 kpc across, quadrilateral enhanced brightness regions bearing resemblance to radio jets, two "ears" separated by 368 kpc, and a diffuse envelope. All of the structures appear spectrally steep, ranging from -1.0 to -1.5. The ring has high polarization (25%) except on the bright patches (<10%). We compare this source to the Odd Radio Circles recently discovered in ASKAP data and discuss several possible physical models, including a termination shock from starburst activity, an end-on radio galaxy, and a supermassive black hole merger event. No simple model can easily explain the observed structure of the source. This work, as well as other recent discoveries, demonstrates the power of unsupervised machine learning in mining large datasets for scientifically interesting sources.