课题基金 / 基金详情

MRI: Development of a High-Throughput Computing Cluster for Gravitational-Wave Data Analysis and High-Energy Physics

MRI: Development of a High-Throughput Computing Cluster for Gravitational-Wave Data Analysis and High-Energy Physics
MRI:开发用于引力波数据分析和高能物理的高吞吐量计算集群
批准号:
1040231
负责人:
Duncan Brown
金额:
$79.11万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-10-01 至 2013-09-30

项目摘要

项目成果

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相关文献

中文摘要
翻译
激光干涉仪引力波天文台(LIGO)是全球引力波观测站网络的一部分,旨在利用引力波探索宇宙。大型强子对撞机(LHCb)实验利用高能粒子束的对撞来探索大爆炸后的情况,并了解今天宇宙中可见的物质-反物质不对称。这两个基础科学项目都需要大量的计算来完成它们的科学目标。该合同支持设计、建造和调试用于引力波天文学和高能物理的高通量计算集群。锡拉丘兹引力波小组的科学家将利用这个星系团开发敏感的数据分析算法,这将使先进的LIGO探测器能够直接探测到引力波,并使我们能够提取被探测到的信号中编码的天体物理信息。锡拉丘兹高能物理小组的成员将使用该仪器搜索LHCb数据,寻找超出我们目前对基本粒子理解的物理现象,并设计下一代b物理探测器。锡拉丘兹大学引力波和高能物理小组的博士后、研究生和本科生将参与该奖项所支持的仪器开发和研究,获得尖端计算技能的宝贵培训。通过该奖项开发的仪器将在锡拉丘兹大学建立一个LIGO二级计算中心。该设施将向LIGO科学合作组织的所有成员开放。LIGO科学合作组织是一个大型的多元化组织,其中许多成员来自少数民族服务机构和代表性不足的群体。该奖项将进一步发展国家的网络基础设施,使依赖高通量计算来实现其科学目标的两个物理团体之间的合作成为可能。该集群将被安置在新的锡拉丘兹大学绿色数据中心,激发公众对该仪器以及天文学、天体物理学和高能物理学的兴趣。
英文摘要
The Laser Interferometer Gravitational Wave Observatory (LIGO) forms part of a world-wide network of gravitational-wave observatories poised to explore the Universe using gravitational waves. The Large Hadron Collider beauty (LHCb) experiment uses colliding beams of high-energy particles to explore conditions just after the Big Bang and understand the matter-antimatter asymmetry seen in the universe today. Both of these fundamental science projects need massive amounts of computing to accomplish their scientific goals. This award supports the design, construction and commissioning of a high-throughput computing cluster for gravitational-wave astronomy and high-energy physics. Scientists from the Syracuse Gravitational-wave Group will use the cluster to develop sensitive data-analysis algorithms which will enable the direct detection of gravitational waves with the Advanced LIGO detectors and will allow us to extract the astrophysical information encoded in the detected signals. Members of the Syracuse High Energy Physics Group will use the instrument to search LHCb data for physics beyond our current understanding of fundamental particles, and to design the next generation of b-physics detectors.Postdocs, graduate and undergraduate students in the Syracuse gravitational-wave and high-energy physics groups will be involved in the instrument development and the research enabled by this award, gaining valuable training in cutting-edge computational skills. The instrument developed through this award will establish a LIGO Tier-2 compute center at Syracuse University. This facility will be available to all members of the LIGO Scientific Collaboration, a large, diverse organization with many members from minority-serving institutions and underrepresented groups. This award will further develop the nation's cyberinfrastructure by enabling collaboration between two physics communities which are dependent on high-throughput computing to accomplish their scientific goals. The cluster will be housed in the new Syracuse University Green Data Center, stimulating public interest in the instrument, as well as astronomy, astrophysics and high-energy physics.
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Collaborative Research: A Data Challenge for the Next Generation of Ground-Based Gravitational Wave Detectors
  • 批准号:
    2207264
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $21.0万
  • 财政年份:
    2022
  • 负责人:
    Duncan Brown
  • 依托单位:
Collaborative Research: EAGER: Advancing Reproducibility in Multi-Messenger Astrophysics
  • 批准号:
    2041878
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2020
  • 负责人:
    Duncan Brown
  • 依托单位:
WoU-MMA: Exploring the Universe with Gravitational Waves
  • 批准号:
    2011655
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $36.0万
  • 财政年份:
    2020
  • 负责人:
    Duncan Brown
  • 依托单位:
Collaborative Research: EAGER: Exploring and Advancing the State of the Art in Robust Science in Gravitational Wave Physics
  • 批准号:
    1823378
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.5万
  • 财政年份:
    2018
  • 负责人:
    Duncan Brown
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: