[14] HEP软件基金会社区白皮书工作组-数据分析与解释

L. Bauerdick, M. Ritter, O. Gutsche, M. Sokoloff, N. Castro, M. Girone, T. Sakuma, P. Elmer, B. Bockelman, E. Sexton-Kennedy, G. Watts, J. Letts, F. Würthwein, C. Vuosalo, J. Pivarski, D. Katz, R. Bianchi, K. Cranmer, R. Gardner, S. McKee, B. Hegner, E. Rodrigues, D. Lange, C. Paus, J. Hernández, K. Pedro, B. Jayatilaka, L. Kreczko
{"title":"[14] HEP软件基金会社区白皮书工作组-数据分析与解释","authors":"L. Bauerdick, M. Ritter, O. Gutsche, M. Sokoloff, N. Castro, M. Girone, T. Sakuma, P. Elmer, B. Bockelman, E. Sexton-Kennedy, G. Watts, J. Letts, F. Würthwein, C. Vuosalo, J. Pivarski, D. Katz, R. Bianchi, K. Cranmer, R. Gardner, S. McKee, B. Hegner, E. Rodrigues, D. Lange, C. Paus, J. Hernández, K. Pedro, B. Jayatilaka, L. Kreczko","doi":"10.2172/1436702","DOIUrl":null,"url":null,"abstract":"At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.","PeriodicalId":8424,"journal":{"name":"arXiv: Computational Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"arXiv : HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation\",\"authors\":\"L. Bauerdick, M. Ritter, O. Gutsche, M. Sokoloff, N. Castro, M. Girone, T. Sakuma, P. Elmer, B. Bockelman, E. Sexton-Kennedy, G. Watts, J. Letts, F. Würthwein, C. Vuosalo, J. Pivarski, D. Katz, R. Bianchi, K. Cranmer, R. Gardner, S. McKee, B. Hegner, E. Rodrigues, D. Lange, C. Paus, J. Hernández, K. Pedro, B. Jayatilaka, L. Kreczko\",\"doi\":\"10.2172/1436702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.\",\"PeriodicalId\":8424,\"journal\":{\"name\":\"arXiv: Computational Physics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv: Computational Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2172/1436702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2172/1436702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

实验高能物理(HEP)的核心是开发能够对新现象提供灵敏度的设施和仪器。通过分析和解释HEP实验中复杂探测器的数据,我们对自然最基本的理解得到了提升。数据分析系统的目标是在计算和人力资源的限制下,在最短的时间内实现数据的最大可能的科学潜力。为了实现这一目标,未来的分析系统应该使物理学家能够以高水平的交互性、再现性和吞吐量访问数据。作为HEP软件基金会社区白皮书流程的一部分,成立了一个数据分析和解释工作组,以评估HEP数据分析的挑战和机遇,并为该领域未来十年的活动制定路线图。本报告介绍了数据分析和解释工作组的主要调查结果和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
arXiv : HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation
At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modeling and computation for non-equilibrium gas dynamics: Beyond single relaxation time kinetic models Space-time computation and visualization of the electromagnetic fields and potentials generated by moving point charges Sparse Gaussian process potentials: Application to lithium diffusivity in superionic conducting solid electrolytes Reduced ionic diffusion by the dynamic electron–ion collisions in warm dense hydrogen HL-LHC Computing Review: Common Tools and Community Software
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1