DiRAC2.5 Operations: The DiRAC Project Office 2017-2020

DiRAC2.5 运营：DiRAC 项目办公室 2017-2020

• 批准号: ST/R001049/1
• 负责人: Jeremy Yates
• 金额: $ 27.58万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FR001049%2F1
• 关键词: DiRAC2.5; Operations; DiRAC; Project; Office

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 addition to the existing DiRAC-2 services, from April 2017 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 at Cambridge 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. 3) An additional 3500 compute cores on the DiRAC Complexity supercomputer at Leicester which will make it possible to carry out simulations of some of the most complex physical situation in the Universe. These include:(i) the formation of stars in clusters - for the first time it will be possible to follow the formation of stars many times more massive than the sun; (ii) the accretion of gas onto supermassive black holes, the most efficient means of extracting energy from matter and the enginewhich drives galaxy formation and evolution.4) A team of three research software engineers who will help DiRAC researchers to ensure their scientific codes to extractthe best possible performance from the hardware components of the DiRAC clusters. These highly skilled programmers willincrease the effective computational power of the DiRAC facility during 2017.

天文学、核物理和粒子物理学界的物理学家们专注于理解宇宙在非常基础的层面上是如何运作的。他们工作的距离尺度变化了50个数量级，从大型强子对撞机实验探测的最小距离，原子核深处，到太空中发现的最大尺度星系团。然而，科学挑战是通过诸如宇宙是如何开始的以及它是如何演变的问题联系在一起的。宇宙的基本组成和结构是什么，它们是如何相互作用的？进步需要新的天文观测和实验数据，但也需要新的理论见解。理论理解越来越多地来自大规模计算，这使我们能够非常准确地用数据来面对我们理论的后果，或者让我们能够详细地询问数据，以提取对我们理论有影响的信息。这些计算测试了我们拥有的最快的计算机，并推动了这一领域的技术边界。他们还提供了一个良好的环境，培养学生在国家的最先进的技术，代码优化和数据挖掘和可视化。DiRAC-2.5项目建立在DiRAC HPC设施的成功基础上，将提供所需的资源，以支持2017年STFC支持的所有科学领域的前沿研究。除了现有的DiRAC-2服务，从2017年4月起，DiRAC-2.5将提供：1）达勒姆大学的DiRAC超级计算机的计算能力提高2倍，该超级计算机专为需要大量计算机内存的模拟而设计。增强后的系统将用于：㈠模拟产生引力波的成对黑洞的合并，如LIGO财团最近发现的引力波; ㈡对宇宙中星系的形成和演变进行迄今为止最逼真的模拟; ㈢对太阳内部和行星群进行详细的模拟。剑桥的一台新的高性能计算机，其特殊的架构非常适合我们想要解决的利用大量数据的理论问题，或者作为输入，或者在我们计算的中间阶段生成。我们将应对的两个关键挑战是：（i）通过分析欧洲航天局GAIA卫星的新数据，提高我们对银河系的理解;（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潜力。3)在莱斯特的DiRAC复杂性超级计算机上增加3500个计算核心，这将使模拟宇宙中一些最复杂的物理情况成为可能。其中包括：（一）星团中恒星的形成-这将是第一次有可能跟踪比太阳质量大许多倍的恒星的形成;（ii）气体在超大质量黑洞上的吸积，这是从物质中提取能量的最有效手段，也是驱动星系形成和演化的引擎。一个由三名研究软件工程师组成的团队，他们将帮助DiRAC研究人员确保他们的科学代码从硬件中提取最佳性能DiRAC集群的组成部分。这些高技能的程序员将在2017年提高DiRAC设施的有效计算能力。

项目成果

Star cluster formation and feedback in different environments of a Milky Way-like galaxy

• DOI: 10.1093/mnras/stad1917
• 发表时间: 2023-06
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: A. Ali;C. Dobbs;T. Bending;A. Buckner;A. Pettitt

Energy Transport during 3D Small-scale Reconnection Driven by Anisotropic Plasma Turbulence

• DOI: 10.3847/1538-4357/ac8667
• 发表时间: 2022-08
• 期刊: The Astrophysical Journal
• 作者: Jeffersson A. Agudelo Rueda;D. Verscharen;R. Wicks;C. Owen;G. Nicolaou;K. Germaschewski;A. Walsh;I. Zouganelis;S. V. Domínguez

Stellar winds and photoionization in a spiral arm

旋臂中的恒星风和光电离

• DOI: 10.1093/mnras/stac025
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Ali A

TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals

• DOI: 10.3847/1538-4357/ac0252
• 发表时间: 2021-08-01
• 期刊: ASTROPHYSICAL JOURNAL
• 影响因子: 4.9
• 作者: Al-Refaie, A. F.;Changeat, Q.;Tinetti, G.
• 通讯作者: Tinetti, G.

Cosmological evolution of semilocal string networks.

半局域弦网络的宇宙演化。

• DOI: 10.1098/rsta.2019.0004
• 发表时间: 2019
• 期刊: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
• 作者: Achúcarro A