Enabling Gravitational-Wave Astronomy on the LIGO Data Grid

在 LIGO 数据网格上实现引力波天文学

基本信息

  • 批准号:
    0600953
  • 负责人:
  • 金额:
    $ 775万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-11-01 至 2012-10-31
  • 项目状态:
    已结题

项目摘要

Counted among the most dramatic predictions of general relativity are black holes and gravitational waves. Scientists are now poised to probe general relativity, black holes and the early universe using the Laser Interferometer Gravitational-wave Observatory (LIGO) as an astronomical tool. The success of LIGO's long-term observing campaign is predicated on continuing timely analysis of the observational data. To achieve this non-trivial computational task, LIGO has successfully adopted the grid computing model and has been at the forefront of its application for data-intensive observational science. This award supports the LIGO Data Grid, a distributed computational facility developed specifically to meet the significant computational needs of gravitational-wave astronomy. It provides personnel to support, enhance and deploy software and grid-services on the LIGO Data Grid. It addresses the needs of the community of gravitational-wave physicists involved in LIGO data analysis, and will have significant impact in that area. The LIGO Data Grid also tests grid concepts at both the high level of grand ideas and at the detailed level of tools in everyday use for a large scientific experiment. This experience will have broad relevance for other grid and information technology initiatives. Finally, this award will provide training for students, scientists and computer specialists in the use of emerging cyber-technology which has applications outside LIGO's endeavor.
广义相对论中最引人注目的预言包括黑洞和引力波。科学家们现在正准备利用激光干涉仪引力波天文台(LIGO)作为一种天文工具来探测广义相对论、黑洞和早期宇宙。LIGO长期观测活动的成功取决于对观测数据的持续及时分析。为了完成这一重要的计算任务,LIGO成功地采用了网格计算模型,并将其应用于数据密集型观测科学的前沿。该奖项支持LIGO数据网格,这是一种专门为满足引力波天文学的重要计算需求而开发的分布式计算设施。它提供人员来支持、增强和部署LIGO数据网格上的软件和网格服务。它解决了参与LIGO数据分析的引力波物理学家社区的需求,并将在该领域产生重大影响。LIGO数据网格还在一个大型科学实验的日常使用中,在高层次的宏大构想和详细的工具层面上测试网格概念。这一经验将对其他网格和信息技术倡议具有广泛的相关性。最后,该奖项将为学生、科学家和计算机专家提供培训,帮助他们使用新兴的网络技术,这些技术在LIGO的努力之外也有应用。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Patrick Brady其他文献

Mo1762 Long-Term Outcomes Following Endoscopic vs. Transduodenal Ampullectomies for Ampullary Adenomas
  • DOI:
    10.1016/s0016-5085(13)64137-2
  • 发表时间:
    2013-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Abhishek Mathur;Sharona B. Ross;Carrie E. Ryan;Kenneth Luberice;Franka Co;Paul Toomey;Arthi Sanjeevi;Patrick Brady;Alexander Rosemurgy
  • 通讯作者:
    Alexander Rosemurgy
P80 Mixed Methods Evaluation of Healthy Schools’ Healthy Students: Implementation and Outcomes From a School-Based Intervention
  • DOI:
    10.1016/j.jneb.2019.05.456
  • 发表时间:
    2019-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Natoshia Askelson;Patrick Brady;Grace Ryan;Youn Soo Jung;Phuong Nguyen;Carrie Scheidel
  • 通讯作者:
    Carrie Scheidel
2022 Minnesota Statewide Food Shelf Survey: Availability and Importance of Foods by Participant Characteristics
  • DOI:
    10.1016/j.jneb.2024.05.032
  • 发表时间:
    2024-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Francine Overcash;Patrick Brady;Abby Gold;Beth Labenz;Marla Reicks;Susannah West
  • 通讯作者:
    Susannah West
Mo1256 – Prevalence and Predictors of Gastrointestinal Bleeding in Patients with Temporary Mechanical Circulatory Support Devices: A Nationwide Perspective
  • DOI:
    10.1016/s0016-5085(19)38771-2
  • 发表时间:
    2019-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Shruti Mony;Ishani Shah;Mohit Pahuja;Ananya Das;Patrick Brady
  • 通讯作者:
    Patrick Brady
FP5 Lessons Learned From the Healthy Schools Healthy Students Project: Strategies to Improve Future Team Nutrition Interventions
  • DOI:
    10.1016/j.jneb.2019.05.366
  • 发表时间:
    2019-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Natoshia Askelson;Patrick Brady;Grace Ryan;Carrie Scheidel
  • 通讯作者:
    Carrie Scheidel

Patrick Brady的其他文献

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{{ truncateString('Patrick Brady', 18)}}的其他基金

Data Handling and Analysis Infrastructure for Gravitational-Wave Astronomy
引力波天文学的数据处理和分析基础设施
  • 批准号:
    2110594
  • 财政年份:
    2021
  • 资助金额:
    $ 775万
  • 项目类别:
    Continuing Grant
A Framework for Data Intensive Discovery in Multimessenger Astrophysics
多信使天体物理学中的数据密集型发现框架
  • 批准号:
    1934752
  • 财政年份:
    2019
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant
Collaborative Research: Community Planning for Scalable Cyberinfrastructure to Support Multi-Messenger Astrophysics
合作研究:支持多信使天体物理学的可扩展网络基础设施的社区规划
  • 批准号:
    1841625
  • 财政年份:
    2018
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant
Data Handling and Analysis Infrastructure for Gravitational-wave Astronomy
引力波天文学的数据处理和分析基础设施
  • 批准号:
    1700765
  • 财政年份:
    2017
  • 资助金额:
    $ 775万
  • 项目类别:
    Continuing Grant
MRI: Acquisition of a High-Capacity Data Analysis System for Gravitational-Wave Detection with Advanced LIGO
MRI:使用先进的 LIGO 获取用于引力波检测的大容量数据分析系统
  • 批准号:
    1626190
  • 财政年份:
    2016
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant
Data Handling and Analysis Infrastructure for Advanced LIGO and Beyond
适用于高级 LIGO 及其他领域的数据处理和分析基础设施
  • 批准号:
    1104371
  • 财政年份:
    2011
  • 资助金额:
    $ 775万
  • 项目类别:
    Continuing Grant
MRI: Development of high-performance computing facility for gravitational-wave data analysis
MRI:开发用于引力波数据分析的高性能计算设备
  • 批准号:
    0923409
  • 财政年份:
    2009
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant
Gravitational Waves and the Physics of Strong Gravitational Fields
引力波和强引力场物理学
  • 批准号:
    9970821
  • 财政年份:
    1999
  • 资助金额:
    $ 775万
  • 项目类别:
    Continuing Grant
Acquisition of Basic Analytical Equipment for the Study of Rocks, Groundwaters, and other Aqueous Solutions
购置用于研究岩石、地下水和其他水溶液的基本分析设备
  • 批准号:
    9104844
  • 财政年份:
    1991
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant
Experimental Investigation of Silicate Growth Mechanisms
硅酸盐生长机制的实验研究
  • 批准号:
    9104849
  • 财政年份:
    1991
  • 资助金额:
    $ 775万
  • 项目类别:
    Standard Grant

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Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark Supercooled Phase Transition
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通过 LIGO 数据质量调查实现可靠的爆发引力波检测
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新申请人:利用引力波观测站网络快速观测紧凑型双星合并
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