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arXiv 1208.3115hep-ph
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用神经网络逼近CLIC的Z_1玻色子产生截面

An Approximation to the Cross Sections of Z_l Boson Production at CLIC by Using Neural Networks

S. Akkoyun, S. O. Kara

摘要:

本文利用人工神经网络研究了CLIC(Compact Linear Collider)上亲轻子Z_1玻色子的可能动力学行为。这些假设的有质量玻色子Z_1是通过过程e+e- -> M+M-得到的。对于这些高度非线性的数据,通过适当的前馈神经网络,我们构造了一致的经验物理公式(EPF),这些ANN-EPF可以用来导出进一步的物理函数,这些物理函数可能与研究Z_1有关。

英文摘要:

In this work, the possible dynamics associated with leptophilic Z_l boson at CLIC (Compact Linear Collider) have been investigated by using artificial neural networks (ANNs). These hypotetic massive boson Z_l have been shown through the process e+e- -> M+M-. Furthermore, the invariant mass distributions for final muons have been consistently predicted by using ANN. For these highly non-linear data, we have constructed consistent empirical physical formulas (EPFs) by appropriate feed- forward ANN. These ANN-EPFs can be used to derive further physical functions which could be relevant to studying Z_l.

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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