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arXiv 1604.05596physics.ins-dethep-ex
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Tesla在高能物理实时数据分析中的应用

Tesla : an application for real-time data analysis in High Energy Physics

R. Aaij, S. Amato, L. Anderlini, S. Benson, M. Cattaneo, M. Clemencic, B. Couturier, M. Frank, V. V. Gligorov, T. Head, C. Jones, I. Komarov, O. Lupton, R. Mate… 展开作者

R. Aaij, S. Amato, L. Anderlini, S. Benson, M. Cattaneo, M. Clemencic, B. Couturier, M. Frank, V. V. Gligorov, T. Head, C. Jones, I. Komarov, O. Lupton, R. Matev, G. Raven, B. Sciascia, T. Skwarnicki, P. Spradlin, S. Stahl, B. Storaci, M. Vesterinen

摘要:

在LHC第一次长时间关闭时对LHCb计算基础设施的升级允许通过软件触发器计算高质量的衰变信息,使得单独的离线事件重建变得不必要。此外,被触发的候选的存储空间比否则将需要被持久化的整个原始事件小一个数量级。Tesla遵循LHCb着名物理学家命名惯例,是一款旨在处理触发器计算的信息的应用程序,其结果输出用于直接执行物理测量。

英文摘要:

Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla, following the LHCb renowned physicist naming convention, is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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