Finding and characterising AGN behind the Magellanic Clouds

该项目旨在通过大量的多波长观测，在麦哲伦云系统方向探测到的数百万个点源中确定活跃的星系核(AGN)，主要是VISTA对麦哲伦云的探测、对星系演化动因的探测以及与澳大利亚SKAP、天文望远镜和气象卫星联合进行的新射电探测。这将使用机器学习工具，如基于光谱确认的训练集的随机森林监督学习，并利用光谱学确认感兴趣的来源的性质，包括来自Keele在南部非洲大型望远镜(SALT)上的时间。正在解决的主要科学问题是，宇宙活动星系核活动是如何随着宇宙时间的推移而演变的，特别是来自一般趋势的“异常值”告诉我们关于这一过程的信息。

The project aims to identify Active Galactic Nuclei (AGN) among the manymillions of point sources detected in the direction of the MagellanicClouds system by a plethora of multiwavelength surveys, principally theVISTA survey of the Magellanic Clouds (VMC), Surveying the Agents ofGalaxy Evolution (SAGE) and new radio surveys with the Australian SKAPathfinder and MeerKAT. This will use machine learning tools such asRandom Forest supervised learning based on spectroscopically confirmedtraining sets, and confirm the nature of interesting sources withspectroscopy including from Keele's time on the Southern African LargeTelescope (SALT). The main scientific question that is being addressed ishow universal AGN activity has evolved over cosmological time, and inparticular what "outliers" from general trends tell us about this process.