Collaborative Research: SI2-SSI: Data-Intensive Analysis for High Energy Physics (DIANA/HEP)
Collaborative Research: SI2-SSI: Data-Intensive Analysis for High Energy Physics (DIANA/HEP)
批准号:
1450319
负责人:
Michael Sokoloff
金额:
$100.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-05-01 至 2022-04-30
中文摘要
先进的软件在大型科学项目中发挥着基础作用。DIANA/HEP(高能物理数据密集分析)的主要目标是开发最先进的实验工具,以获取,减少和分析PB级数据。通过修改和添加社区广泛使用的软件包来提高性能、互操作性和协作工具,将使用户能够更充分地利用CERN大型强子对撞机(LHC)和其他设施获得的数据。这些实验正在解决物理学的核心问题:物质的基本成分是什么?它们是如何相互作用的?随着2012年希格斯玻色子的发现,粒子物理学的标准模型已经完成。它对已知的粒子和力提供了极好的描述。 然而,最有趣的问题仍然悬而未决:弥漫在宇宙中的暗物质是什么?时空是否有额外的对称性,或超越我们所知的三维空间?是什么机制使希格斯玻色子的质量不受巨大的量子修正的影响?下一代实验将收集艾字节级的数据样本来提供答案。分析这些数据将需要新的和更好的工具。首先,该项目将提供所需的CPU和IO性能,以减少探索新想法所需的迭代时间。它将开发软件,以有效地利用新兴的多核和多核硬件。它将为更高层次的合作分析建立基础设施,建立在希格斯玻色子发现所使用的成功模式的基础上,并使理论界和实验界之间能够进行更深入的交流。戴安娜?的产品将坐在根框架,已经使用的HEP社区超过10000粒子和核物理学家。通过提高与更大的科学软件生态系统的互操作性,DIANA将把其他学科的最佳实践和算法纳入HEP。同样,该项目将使其计算的见解,工具,以及与协作分析,数据保存标准,以及将软件作为研究产品的最佳实践相关的新想法提供给更大的科学界。 最后,为了提高HEP下一代软件工程师的质量,DIANA将举办一个关于分析工具的年度研讨会,并建立一个奖学金计划。
英文摘要
Advanced software plays a fundamental role for large scientific projects. The primary goal of DIANA/HEP (Data Intensive ANAlysis for High Energy Physics) is developing state-of-the-art tools for experiments that acquire, reduce, and analyze petabytes of data. Improving performance, interoperability, and collaborative tools through modifications and additions to packages broadly used by the community will allow users to more fully exploit the data being acquired at CERN's Large Hadron Collider (LHC) and other facilities. These experiments are addressing questions at the heart of physics: What are the underlying constituents of matter? And how do they interact? With the discovery of the Higgs boson in 2012, the Standard Model of particle physics is complete. It provides an excellent description of known particles and forces. However, the most interesting questions remain open: What is the dark matter which pervades the universe? Does space-time have additional symmetries or extend beyond the 3 spatial dimensions we know? What is the mechanism stabilizing the Higgs boson mass from enormous quantum corrections? The next generation of experiments will collect exabyte-scale data samples to provide answers. Analyzing this data will require new and better tools. First, the project will provide the CPU and IO performance needed to reduce the iteration time so crucial to explore new ideas. It will develop software to effectively exploit emerging many- and multi-core hardware. It will establish infrastructure for a higher-level of collaborative analysis, building on the successful patterns used for the Higgs boson discovery and enabling a deeper communication between the theoretical community and the experimental community. DIANA?s products will sit in the ROOT framework, already used by the HEP community of more than 10000 particle and nuclear physicists. By improving interoperability with the larger scientific software ecosystem, DIANA will incorporate best practices and algorithms from other disciplines into HEP. Similarly, the project will make its computing insights, tools, and novel ideas related to collaborative analysis, standards for data preservation, and best practices for treating software as a research product available to the larger scientific community. Finally, to improve the quality of the next generation of software engineers in HEP, DIANA will host an annual workshop on analysis tools and establish a fellowship program.
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Experimental Flavor Physics
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批准号:2208983
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项目类别:Standard Grant
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资助金额:$60.0万
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负责人:Michael Sokoloff
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Experimental Flavor Physics
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批准号:1806260
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项目类别:Continuing Grant
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资助金额:$59.0万
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负责人:Michael Sokoloff
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依托单位:
Collaborative Research: SI2:SSE: Extending the Physics Reach of LHCb in Run 3 Using Machine Learning in the Real-Time Data Ingestion and Reduction System
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批准号:1740102
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项目类别:Standard Grant
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资助金额:$22.46万
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Collaborative Research: S2I2: Cncp: Conceptualization of an S2I2 Institute for High Energy Physics
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财政年份:2016
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负责人:Michael Sokoloff
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依托单位:
Experimental Flavor Physics
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批准号:1505719
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项目类别:Continuing Grant
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资助金额:$60.0万
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财政年份:2015
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负责人:Michael Sokoloff
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依托单位:
Enabling High Energy Physics at the Information Frontier Using GPUs and Other Many/Multi-Core Architectures
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批准号:1414736
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项目类别:Continuing Grant
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资助金额:$66.0万
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财政年份:2014
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负责人:Michael Sokoloff
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依托单位:
Collaborative Research: Construction of the Upstream Tracker for the LHCb Upgrade
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批准号:1433120
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项目类别:Continuing Grant
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资助金额:$18.5万
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财政年份:2014
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负责人:Michael Sokoloff
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依托单位:
Physics at Flavor Factories
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批准号:1205805
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项目类别:Continuing Grant
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资助金额:$90.0万
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财政年份:2012
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负责人:Michael Sokoloff
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依托单位:
Physics at Flavor Factories
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批准号:1068530
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项目类别:Standard Grant
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资助金额:$11.0万
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财政年份:2011
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负责人:Michael Sokoloff
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依托单位:
Enabling Physics Research at the Information Frontier Using GPUs
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批准号:1005530
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项目类别:Continuing Grant
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资助金额:$43.74万
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财政年份:2010
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负责人:Michael Sokoloff
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依托单位:
Studies in Experimental Particle Physics
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批准号:0757876
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项目类别:Continuing Grant
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资助金额:$64.5万
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财政年份:2008
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负责人:Michael Sokoloff
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依托单位:
Heavy Quark Physics at Babar
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批准号:0457336
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2005
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负责人:Michael Sokoloff
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依托单位:
国内基金
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