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.

来自超级黑洞的喷气式会极大地影响星系在宇宙历史上的发展和变化。喷气机通过星际和星际培养基运输能量，影响何时何地形成恒星，并控制当今星系的大小和外观。我们在OU的团队开创了评估喷气机对他们的主机星系影响的方法，但是直到最近，我们对黑洞/银河相互作用的理解受到了以前的无线电调查的限制的极大阻碍，这些限制仅在高红移方面对最聪明的系统产生了偏见的观点，尤其是在高红移中的快速增长。我们在广播中的广告中遍布广泛的广告范围，这是广泛的广告范围的广告。我们在OU的小组在国际Lofar望远镜（www.lofar-surveys.org）的调查中发挥了领导作用。 LOFAS望远镜跨越了整个欧洲，其核心在荷兰以及从爱尔兰到波兰的车站。除了在迄今为止的各种天体物理环境中提供最深切的喷气式视图外，洛法斯在最低的无线电频率上的敏感性还提供了生命周期中各个阶段的独特视图，因为最低的频率可以检测到较旧的无线电等旧广播。天空。与主要调查并行，我们还可以访问新的SubarcSec成像，这些成像完全受益于LOFAS的国际基线，用于感兴趣的样品和对象。该博士学位项目将涉及使用这些丰富的新数据集来构建以前调查中未检测到的数千个低亮度喷气种群的样本，目的是确定有趣的人群，以供高分辨率和多波长随访。您将使用我们开发的新方法将仔细的喷气种群形态分类与有关HOS Galaxy特性和源年龄的信息结合在一起，以确定喷气活动和环境影响的典型生命周期如何取决于宿主星系和黑洞质量，大型环境以及这些周期如何随着红色速度而演变。