Exploring the properties of nuclear matter in extreme environments.

探索极端环境中核物质的特性。

• 批准号: 2604882
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2604882
• 关键词: Exploring; properties; nuclear; matter; extreme

In 2015, Advanced LIGO and Virgo detected the first ever gravitational wave signal from inspiralling binary neutron stars. This breakthrough detection allowed us to explore the properties of dense nuclear matter within neutron stars. However, the underlying model describing nuclear matter at extremely high pressures and densities found within neutron stars is currently unknown though it is expected to be highly complex and non-linear.We propose a project with LIGO-India collaborators to probe the properties of nuclear matter in extreme environments. This project will exploit world-leading, STFC-funded expertise on gravitational waves and machine learning at the University of Glasgow to develop a means of modelling the state of matter (equation of state) within neutron stars based on the gravitational wave signals observed as a result of binary neutron star inspiral and merger.Novelty of the research methodology:Machine learning approaches, in particular normalising flows, have been shown to be well-suited to exploring the parameter space of non-linear systems. Additionally, the use of machine learning will allow for rapid inference of the equation of state of neutron stars from observed gravitational wave signals. Rapid inference will be crucial for astronomers across the globe who will use this information to plan their searches for electromagnetic counterparts associated with the binary neutron star mergers, where time is of the essence for rapidly fading counterpart signals.Alignment to Research Council's strategies and research areas:STFC have funded the development of key elements of the Advanced LIGO and A+ projects. One of the key targets for Advanced LIGO and A+ are gravitational waves from binary neutron stars. The developed analysis should become a key component for the delivery of public alerts of gravitational wave transients observed by Advanced LIGO and the global gravitational wave network.Any companies or collaborators involved:We will be collaborating with members of LIGO-India for this project.Additionally, The student and supervisor will be working within the LIGO Scientific Collaboration

2015年，Advanced LIGO和Virgo探测到了有史以来第一个来自螺旋双星的引力波信号。这一突破性的探测使我们能够探索中子星内致密核物质的性质。然而，在中子星内发现的极高压力和密度下描述核物质的基本模型目前尚不清楚，尽管预计它将是高度复杂和非线性的。我们提出了一个与LIGO印度合作者的项目，以探测极端环境下核物质的性质。该项目将利用格拉斯哥大学世界领先的STFC资助的引力波和机器学习专业知识，开发一种模拟物质状态的方法根据中子星星螺旋上升和合并产生的引力波信号，计算中子星内部的状态方程。研究方法的新奇：机器学习方法，特别是标准化流程，已被证明非常适合探索非线性系统的参数空间。此外，机器学习的使用将允许从观测到的引力波信号中快速推断中子星的状态方程。快速推断对于地球仪的天文学家来说至关重要，他们将利用这些信息来计划他们对与双中子星星合并相关的电磁对应物的搜索，其中时间对于快速衰减的对应物信号至关重要。与研究理事会的战略和研究领域保持一致：STFC资助了高级LIGO和A+项目的关键元素的开发。先进LIGO和A+的关键目标之一是来自双中子星的引力波。我们的分析将成为高级LIGO和全球引力波网络观测到的引力波瞬变公共警报的关键组成部分。任何参与的公司或合作者：我们将与LIGO印度成员合作进行该项目。此外，学生和导师将在LIGO科学合作组织内工作。