用SAMGrid重新处理D0数据

F. Villeneuve-Séguier
{"title":"用SAMGrid重新处理D0数据","authors":"F. Villeneuve-Séguier","doi":"10.1109/E-SCIENCE.2005.70","DOIUrl":null,"url":null,"abstract":"The DOslash experiment studies proton-antiproton collisions at the Tevatron collider based at Fermilab. Reprocessing, managing and distributing the large amount of real data coming from the detector as well as generating sufficient Monte Carlo data are some of the challenges faced by the DOslash collaboration. SAMGrid combines the SAM data handling system with the necessary job and information management allowing us to use the distributed computing resources in the various worldwide computing centers. This is one of the first large scale grid applications in high energy physics (in particular as we are using real data). After successful Monte Carlo production and a limited data reprocessing in the winter of 2003/04, the next milestone will be the reprocessing of the full current data set by this autumn/winter. It consists of ~500 TB of data, encompassing one billion events","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"26 1","pages":"557-561"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reprocessing D0 Data with SAMGrid\",\"authors\":\"F. Villeneuve-Séguier\",\"doi\":\"10.1109/E-SCIENCE.2005.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The DOslash experiment studies proton-antiproton collisions at the Tevatron collider based at Fermilab. Reprocessing, managing and distributing the large amount of real data coming from the detector as well as generating sufficient Monte Carlo data are some of the challenges faced by the DOslash collaboration. SAMGrid combines the SAM data handling system with the necessary job and information management allowing us to use the distributed computing resources in the various worldwide computing centers. This is one of the first large scale grid applications in high energy physics (in particular as we are using real data). After successful Monte Carlo production and a limited data reprocessing in the winter of 2003/04, the next milestone will be the reprocessing of the full current data set by this autumn/winter. It consists of ~500 TB of data, encompassing one billion events\",\"PeriodicalId\":6364,\"journal\":{\"name\":\"2012 IEEE 8th International Conference on E-Science\",\"volume\":\"26 1\",\"pages\":\"557-561\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 8th International Conference on E-Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/E-SCIENCE.2005.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on E-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/E-SCIENCE.2005.70","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

DOslash实验在费米实验室的Tevatron对撞机上研究质子-反质子碰撞。重新处理、管理和分发来自探测器的大量真实数据以及生成足够的蒙特卡罗数据是DOslash合作面临的一些挑战。SAMGrid将SAM数据处理系统与必要的作业和信息管理相结合,使我们能够在各种全球计算中心中使用分布式计算资源。这是在高能物理领域的第一个大规模网格应用之一(特别是当我们使用真实数据时)。在2003/04年冬季成功的蒙特卡罗生产和有限的数据再处理之后,下一个里程碑将是在今年秋冬之前对全部当前数据集进行再处理。它包含约500tb的数据,包含10亿个事件
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
Reprocessing D0 Data with SAMGrid
The DOslash experiment studies proton-antiproton collisions at the Tevatron collider based at Fermilab. Reprocessing, managing and distributing the large amount of real data coming from the detector as well as generating sufficient Monte Carlo data are some of the challenges faced by the DOslash collaboration. SAMGrid combines the SAM data handling system with the necessary job and information management allowing us to use the distributed computing resources in the various worldwide computing centers. This is one of the first large scale grid applications in high energy physics (in particular as we are using real data). After successful Monte Carlo production and a limited data reprocessing in the winter of 2003/04, the next milestone will be the reprocessing of the full current data set by this autumn/winter. It consists of ~500 TB of data, encompassing one billion events
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
Scientific Workflow Interchanging through Patterns: Reversals and Lessons Learned Shape Analysis Using the Spectral Graph Wavelet Transform Provenance analysis: Towards quality provenance Fast confidential search for bio-medical data using Bloom filters and Homomorphic Cryptography Calibration of watershed models using cloud computing
×
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