Hunting for Rare Treasure with Machine Learning: Gravitational Lensing and Glitches in the Euclid space telescope and Vera Rubin Observatory

利用机器学习寻找稀有宝藏：欧几里得太空望远镜和维拉鲁宾天文台的引力透镜和故障

• 批准号: 2888074
• 金额: --
• 依托单位: The Open University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2888074
• 关键词: Hunting; Rare; Treasure; Machine; Learning

Jets from supermassive black holes dramatically affect how galaxies grow and change over the history of the universe. Jets transport energy through the interstellar and intergalactic medium, influencing when and where stars are formed, and controlling the size and appearance of present-day galaxies. Our team at the OU have pioneered methods of assessing the impact of jets on their host galaxies, but until recently our understanding of black-hole/galaxy interplay was greatly hindered by the limits of previous radio surveys that give a biased view of only the brightest systems, particularly at high redshifts.We are in a period of rapid growth in the field of radio astronomy, with new technology enabling very deep, wide-area views of the radio Universe. Our group at the OU has a leading role in surveys with the International LOFAR Telescope (www.lofar-surveys.org). The LOFAS telescope spans all of Europe, with its core in the Netherlands, and stations from Ireland to Poland. As well as providing the deepest view of jets to date, across a wide range of astrophysical environments, LOFAS's sensitivity at the lowest radio frequencies provides a unique view of jets at all stages in their life cycles, because the lowest frequencies enable the detection of older radio plasma.The second data release of the LOFAR surveys will take place in 2022, and contain around 4 million radio sources, making it the biggest ever survey of the radio sky. In parallel to the main survey we also have access to new subarcsec imaging that fully benefits from LOFAS's international baselines for samples and objects of interest. This PhD project will involve using these rich new datasets to construct samples of thousands of low-luminosity jet populations not detected in previous surveys with the aim of identifying interesting populations for high-resolution and multi-wavelength follow up. You will combine careful morphological classification of jet populations, using new methods we have developed, with information about hos galaxy properties and source ages to determine how typical life cycles of jet activity and environmental impact depend on host galaxy and black hole mass, large-scale environment, and how these cycles evolve with redshift.

来自超大质量黑洞的喷流极大地影响着星系在宇宙历史中的生长和变化。喷流通过星际和星系际介质传输能量，影响恒星形成的时间和地点，并控制当今星系的大小和外观。我们在开放大学的团队开创了评估喷流对其宿主星系影响的方法，但直到最近，我们对黑洞/星系相互作用的理解还受到以前射电勘测的限制的极大阻碍，这些勘测只对最亮的系统给出了偏见，特别是在高红移的情况下。我们正处于射电天文学领域快速发展的时期，新技术使得射电宇宙的深度、广域视图成为可能。我们 OU 的团队在国际 LOFAR 望远镜 (www.lofar-surveys.org) 的调查中发挥着主导作用。 LOFAS 望远镜横跨整个欧洲，其核心位于荷兰，站点从爱尔兰到波兰。除了提供迄今为止在各种天体物理环境中最深入的射流视图之外，LOFAS 对最低无线电频率的灵敏度还提供了射流生命周期各个阶段的独特视图，因为最低频率能够检测较旧的无线电等离子体。LOFAR 调查的第二次数据发布将于 2022 年进行，包含约 400 万个无线电源，使其成为有史以来最大的射电调查 天空。在进行主要调查的同时，我们还可以获得新的亚弧秒成像，该成像充分受益于 LOFAS 的样本和感兴趣物体的国际基线。该博士项目将涉及使用这些丰富的新数据集来构建先前调查中未检测到的数千个低光度喷流种群的样本，目的是识别有趣的种群以进行高分辨率和多波长的跟踪。您将使用我们开发的新方法，将喷流种群的仔细形态分类与主星系属性和源年龄的信息结合起来，以确定喷流活动和环境影响的典型生命周期如何依赖于主星系和黑洞质量、大尺度环境，以及这些周期如何随红移演化。