首页> 外文期刊>The European physical journal, C. Particles and fields >A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets
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A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets

机译:基于k均值聚类的射流重态重构新射流算法

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摘要

A jet algorithm based on the k-means clustering procedure is proposed which can be used for the invariant-mass reconstruction of heavy states decaying to hadronic jets. The proposed algorithm was tested by reconstructing e~+e~-→tt→6 jets and e~+e~-→W~+W~-→4 jets processes at s~2(1/2) = 500 GeV using a Monte Carlo simulation. It was shown that the algorithm has a reconstruction efficiency similar to traditional jet-finding algorithms, and leads to 25% and 40% improvement of the top-quark and W mass resolution, respectively, compared to the kT (Durham) algorithm. In addition, it is expected that the peak positions measured with the new algorithm have smaller systematical uncertainty.
机译:提出了一种基于k均值聚类算法的射流算法,该算法可用于重质衰变到强子射流的不变质量重建。通过在s〜2(1/2)= 500 GeV下重建e〜+ e〜-→tt→6喷射和e〜+ e〜-→W〜+ W〜-→4喷射过程来测试该算法。蒙特卡洛模拟。结果表明,该算法的重建效率类似于传统的喷射发现算法,与kT(Durham)算法相比,分别提高了顶夸克和W质量分辨率25%和40%。另外,预期用新算法测量的峰位置具有较小的系统不确定性。

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