Finding and characterising AGN behind the Magellanic Clouds

寻找并描述麦哲伦星云背后的活动星系核

• 批准号: 2224079
• 金额: --
• 依托单位: Keele University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2224079
• 关键词: Finding; characterising; AGN; behind; Magellanic

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.

该项目的目的是在麦哲伦云系统方向探测到的数百万个点源中确定活动星系核，这些点源是通过大量的多波长测量探测到的，主要是麦哲伦云的VISTA测量、星系演化动因测量以及用澳大利亚SKAP路径发现器和MeerKAT进行的新的无线电测量。这将使用机器学习工具，如基于光谱学确认的训练集的随机森林监督学习，并确认光谱学有趣来源的性质，包括基尔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在宇宙学时间内已经演变，特别是从一般趋势中的“异常值”告诉我们这个过程。