New Statistical Techniques for Galactic Archaeology

银河考古学的新统计技术

• 批准号: DP160100637
• 负责人: Prof John Lattanzio
• 金额: $ 24.14万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-05-26 至 2019-08-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160100637
• 关键词: New; Statistical; Techniques; Galactic; Archaeology

This project aims to develop methods that will enable us to exploit new astronomical data. A revolution is under way in stellar astronomy, with new space satellites and Australian survey instruments about to reveal the composition of millions of stars. These data hold the promise of disentangling the origin of our galaxy through identification of star-forming groups that have long ago dispersed into our galaxy. We can also learn about the nuclear and stellar processes that were active in long-dead stars, and hence explain why the Universe is the way it is. This project aims to extend the powerful Minimum Message Length method, never before used in astronomy, to handle this data. This would put us in a unique position to extract new knowledge from the data that will arrive in the next one to five years.

该项目旨在开发方法，使我们能够利用新的天文数据。恒星天文学正在发生一场革命，新的太空卫星和澳大利亚的调查仪器即将揭示数百万颗恒星的组成。这些数据有希望通过识别很久以前分散到我们星系中的恒星形成群体来解开我们星系的起源。我们还可以了解在长期死亡的恒星中活跃的核和恒星过程，从而解释为什么宇宙是这样的。该项目旨在扩展强大的最小消息长度方法，以前从未在天文学中使用过，以处理这些数据。这将使我们处于一个独特的位置，可以从未来一到五年的数据中提取新的知识。