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arXiv physics/0402039physics.data-anphysics.ins-det
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粒子物理实验中的模式识别与事件重建

Pattern Recognition and Event Reconstruction in Particle Physics Experiments

Rainer Mankel

摘要:

本文综述了现代高能物理实验中的模式识别和事件重构方法。在简要介绍了粒子探测器和统计评价的基本概念后,对轨道模式识别的全局和局部方法进行了评述,指出了各自的优缺点。然后,重点转移到方法,估计粒子的特性,从模式识别相关的信号。最后,简要讨论了事件的全球重建。

英文摘要:

This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different approaches in global and local methods of track pattern recognition are reviewed with their typical strengths and shortcomings. The emphasis is then moved to methods which estimate the particle properties from the signals which pattern recognition has associated. Finally, the global reconstruction of the event is briefly addressed.

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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