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DiRAC 2.5 - the pathway to DiRAC Phase 3

DiRAC 2.5 - the pathway to DiRAC Phase 3
DiRAC 2.5 - 通往 DiRAC 第 3 阶段的途径
批准号:
ST/P002307/1
负责人:
Mark Wilkinson
金额:
$50.97万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
关键词:

项目摘要

项目成果

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中文摘要
翻译
天文学、核物理学和粒子物理学领域的物理学家都致力于从非常基本的层面上理解宇宙的运作方式。从原子核深处的大型强子对撞机实验探测到的最小距离,到在太空中发现的最大规模的星系团,他们工作的距离尺度相差50个数量级。然而,科学挑战通过以下问题联系在一起:宇宙是如何开始的,它是如何演变的?宇宙的基本组成和结构是什么?它们是如何相互作用的?要取得进展,不仅需要新的天文观测和实验数据,还需要新的理论见解。对理论的理解越来越多地来自大规模计算,这些计算使我们能够非常准确地用数据来面对我们理论的后果,或者允许我们详细询问数据,以提取对我们的理论产生影响的信息。这些计算测试了我们拥有的最快的计算机,并推动了该领域的技术界限。它们还为培训学生学习最先进的代码优化、数据挖掘和可视化技术提供了一个极好的环境。DIRAC-2.5项目建立在DIRAC HPC设施的成功基础上,并将提供所需的资源,以支持2017年由STFC支持的所有科学领域的尖端研究。特别是,DIRAC-2.5将提供:1)达勒姆大学DIRAC超级计算机的计算能力增加2倍,该计算机专为需要大量计算机内存的模拟而设计。增强的系统将用于:(I)模拟产生引力波的两对黑洞的合并,例如LIGO财团最近发现的那些;(Ii)对宇宙中星系的形成和演化进行迄今最真实的模拟;(Iii)对太阳内部和行星内部进行详细的模拟。2)一种新的高性能计算机,其特殊的结构非常适合我们想要解决的理论问题,它利用大量数据作为输入或在计算的中间阶段产生。我们将解决的两个关键挑战是:(I)通过分析来自欧洲航天局的Gaia卫星的新数据来提高我们对银河系的理解,以及(Ii)通过提高对涉及夸克物质基本成分的罕见过程的理论预测的准确性,提高欧洲核子研究中心大型强子对撞机实验发现新物理的可能性。
英文摘要
Physicists across the astronomy, nuclear and particle physics communities are focussed on understanding how the Universe works at a very fundamental level. The distance scales with which they work vary by 50 orders of magnitude from the smallest distances probed by experiments at the Large Hadron Collider, deep within the atomic nucleus, to the largest scale galaxy clusters discovered out in space. The Science challenges, however, are linked through questions such as: How did the Universe begin and how is it evolving? and What are the fundamental constituents and fabric of the Universe and how do they interact?Progress requires new astronomical observations and experimental data but also new theoretical insights. Theoretical understanding comes increasingly from large-scale computations that allow us to confront the consequences of our theories very accurately with the data or allow us to interrogate the data in detail to extract information that has impact on our theories. These computations test the fastest computers that we have and push the boundaries of technology in this sector. They also provide an excellent environment for training students in state-of-the-art techniques for code optimisation and data mining and visualisation. The DiRAC-2.5 project builds on the success of the DiRAC HPC facility and will provide the resources neededto support cutting edge research during 2017 in all areas of science supported by STFC.In particular, DiRAC-2.5 will provide:1) A factor 2 increase in the computational power of the DiRAC supercomputer at the University of Durham, which is designed for simulations requiring large amounts of computer memory. The enhanced system will be used to:(i) simulate the merger of pairs of black holes which generate gravitational waves such as those recently discovered by the LIGO consortium;(ii) perform the most realistic simulations to date of the formation and evolution of galaxies in the Universe(iii) carry out detailed simulations of the interior of the sun and of planetary interiors.2) A new High Performance Computer whose particular architecture is well suited to the theoretical problems that we want to tackle that utilise large amounts of data, either as input or being generated at intermediate stages of our calculations. Two key challengesthat we will tackle are those of (i) improving our understanding of the Milky Way through analysis of new data from the European Space Agency's GAIA satellite and (ii) improving the potential of experiments at CERN's Large Hadron Collider for discoveryof new physics by increasing the accuracy of theoretical predictions for rare processes involving the fundamental constituents of matter known as quarks.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Bias and scatter in the Hubble diagram from cosmological large-scale structure
宇宙学大尺度结构的哈勃图中的偏差和散射
DOI: --
发表时间: 2018
期刊: arXiv e-prints
影响因子: --
作者: [Adamek Julian]
通讯作者: Adamek Julian
A Comparison of Chemical Models of Exoplanet Atmospheres Enabled by TauREx 3.1
TauREx 3.1 支持的系外行星大气化学模型比较
DOI: 10.3847/1538-4357/ac6dcd
发表时间: 2022
期刊: The Astrophysical Journal
影响因子: --
作者: [Al-Refaie A]
通讯作者: Al-Refaie A
Modelling massive-star feedback with Monte Carlo radiation hydrodynamics: photoionization and radiation pressure in a turbulent cloud
用蒙特卡罗辐射流体动力学模拟大质量恒星反馈:湍流云中的光电离和辐射压力
DOI: 10.48550/arxiv.1804.07309
发表时间: 2018
期刊:
影响因子: --
作者: [Ali A]
通讯作者: Ali A
DOI: 10.1088/1361-6382/aaeca5
发表时间: 2017-06
期刊: Classical and Quantum Gravity
影响因子: 3.5
作者: [J. Adamek;C. Clarkson;David Daverio;R. Durrer;M. Kunz]
通讯作者: J. Adamek;C. Clarkson;David Daverio;R. Durrer;M. Kunz
共 8 条
    DiRAC-3 Operations 2023-26 - Leicester Additional Grant
    • 批准号:
      ST/X005623/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $47.2万
    • 财政年份:
      2023
    • 负责人:
      Mark Wilkinson
    • 依托单位:
    DiRAC-3 Operations 2023-26 - Leicester
    • 批准号:
      ST/X000311/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $351.02万
    • 财政年份:
      2023
    • 负责人:
      Mark Wilkinson
    • 依托单位:
    ExCALIBUR HES - ARM Forge Software licence
    • 批准号:
      EP/Y006682/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $7.65万
    • 财政年份:
      2022
    • 负责人:
      Mark Wilkinson
    • 依托单位:
    DiRAC-3 Operations - 2022-23 extension - Leicester
    • 批准号:
      ST/W002787/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $117.39万
    • 财政年份:
      2022
    • 负责人:
      Mark Wilkinson
    • 依托单位:
    国内基金
    海外基金
    面向健康防护的局部气候分区高温-PM2.5复合暴露风险空间优化与行为导引研究
    • 批准号:
      2026JJ50444
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      彭芬
    • 依托单位:
    P/SV波空间任意入射下不规则海床场地2.5维地震反应统一分析方法
    • 批准号:
      2026JJ60199
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      周泽洋
    • 依托单位:
    湖南省典型PM2.5污染事件传输通道的遥感智能识别
    • 批准号:
      2026JJ60404
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      李沈鑫
    • 依托单位:
    NFE2L2/SLC7A11/GPX4信号轴介导的铁死亡在PM2.5致急性肺损伤中的机制研究
    • 批准号:
      2026JJ81714
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      罗力妍
    • 依托单位: