Smart astronomy: using computational science to understand distant radio galaxies

智能天文学：利用计算科学来了解遥远的射电星系

• 批准号: SR0567109
• 负责人: Prof Michael Drinkwater
• 金额: $ 4.77万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Special Research Initiatives
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-09-09 至 2006-09-09
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/SR0567109
• 关键词: Smart; astronomy; using; computational; science

Radio galaxies are among the largest galaxies in the universe with their copious radio emission powered by massive black holes. Australian radio telescopes are very effective at tracing these massive galaxies back in time so we can measure how black holes formed and developed. These measurements depend on reliable identification of the radio sources with our optical telescopes to make vital measurements of their distances. Until now this identification process has been straightforward, but the next generation of studies will look so far back in time that the identification will become ambiguous. Our project will develop a software tool that applies techniques from computational science to overcome the ambiguity in this matching problem.

射电星系是宇宙中最大的星系之一，其丰富的射电发射由大质量黑洞提供动力。澳大利亚的射电望远镜在追踪这些大质量星系的时间上非常有效，所以我们可以测量黑洞是如何形成和发展的。这些测量依赖于我们的光学望远镜对射电源的可靠识别，从而对它们的距离进行重要的测量。到目前为止，这一鉴定过程一直是直截了当的，但下一代的研究将回顾过去，以至于鉴定将变得模糊。我们的项目将开发一个软件工具，应用计算科学的技术来克服这个匹配问题中的模糊性。