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arXiv 1401.8155hep-exphysics.ins-det
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CMS粒子流算法

The CMS Particle Flow Algorithm

Florian Beaudette

摘要:

一个粒子流事件重建算法已成功地部署在CMS实验中,现在使用的大多数分析。它旨在通过结合所有子探测器的信息,单独识别和重建LHC质子-质子碰撞产生的每个粒子。由此产生的粒子流事件重建导致的射流和MET的重建,并为电子,μ子,和金牛座的识别性能得到改善。将描述该算法及其性能。调试阶段,在此期间,它被证明,该算法的执行预期从模拟到高水平的精度,将被介绍。最后,选择最近的改进CMS分析得到感谢粒子流算法将进行讨论。

英文摘要:

A particle flow event-reconstruction algorithm has been successfully deployed in the CMS experiment and is nowadays used by most of the analyses. It aims at identifying and reconstructing individually each particle arising from the LHC proton-proton collision, by combining the information from all the subdetectors. The resulting particle-flow event reconstruction leads to an improved performance for the reconstruction of jets and MET, and for the identification of electrons, muons, and taus. The algorithm and its performance will be described. The commissioning phase, during which it was demonstrated that the algorithm was performing as expected from the simulation up to a high level of precision, will be presented. Finally, a selection of recent improvements in the CMS analyses obtained thanks to the particle-flow algorithm will be discussed.

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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