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arXiv 1107.0179nucl-ex
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重离子与CMS碰撞中喷流的粒子喷注重建

Jet Reconstruction with Particle Flow in Heavy-Ion Collisions with CMS

Matthew Nguyen

摘要:

在粒子流方法中,来自所有可用的子检测器系统的信息被组合以重建所有稳定粒子。全球事件重建已被证明,以改善,特别是,分辨率的喷流能量和失踪的横向能量在pp碰撞相比,纯粹的量热测量。这种改进主要是通过将硅跟踪器中带电强子的精确动量测定与量热计中相关的能量沉积相结合来实现的。通过解析射流内部的单个颗粒,颗粒流降低了射流能量尺度对射流破碎模式的敏感性,这是已知的喷注重建中系统不确定性的最大来源之一。因此,粒子流重建是潜在的很好的适合于在重离子碰撞射流碎裂的潜在修改的研究。粒子流算法已被调整到重离子环境。介绍了使用反kT喷注重建算法对铅铅碰撞中颗粒流物体进行喷注重建的性能。

英文摘要:

In the particle-flow approach information from all available sub-detector systems is combined to reconstruct all stable particles. The global event reconstruction has been shown to improve, in particular, the resolution of jet energy and missing transverse energy in pp collisions compared to purely calorimetric measurements. This improvement is achieved primarily by combining the precise momentum determination of charged hadrons in the silicon tracker with the associated energy depositions in the calorimeters. By resolving individual particles inside jets, particle flow reduces the sensitivity of the jet energy scale to the jet fragmentation pattern, which is known to be one of the largest sources of systematic uncertainty in jet reconstruction. Particle flow reconstruction is thus potentially well-suited for the study of potential modifications to jet fragmentation in heavy-ion collisions. The particle flow algorithm has been adapted to the heavy-ion environment. The performance of jet reconstruction from particle flow objects in PbPb collisions using the anti-kT jet reconstruction algorithm is presented.

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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