Measuring the anomalous quartic gauge couplings in the W+W− → W+W− process at muon collider using artificial neural networks
Measuring the anomalous quartic gauge couplings in the W+W− → W+W− process at muon collider using artificial neural networks
复制标题
使用人工神经网络测量 μ 子对撞机 W W － W W 过程中的反常四次规范耦合
DOI：
10.1007/jhep09(2022)074
复制
发表时间：
2022
影响因子：
5.4
通讯作者：
Yu-Chen Guo
中科院分区：
文献类型：
--
作者：
Ji-Chong Yang;Xue-Ying Han;Zhi-Bin Qin;Tong Li;Yu-Chen Guo
μ子对撞机提供了一个独特的机会来研究矢量玻色子散射过程和8维算子的异常四次规范耦合（aQGC）。由于末态更清晰，在μ子对撞机上更容易解码子过程和某些操作耦合。本文试图识别WW → WW排斥散射中的反常WWWW耦合。由于一个aQGC可以由多个8维算子诱导，因此研究一个耦合可以帮助限制不同的算子。同时，将WW → WW过程单独提出，有助于研究么正性界。对应于反常WWWW耦合的矢量玻色子散射过程是μ+μ− → $ nu nu overline{nu}overline {nu } $$。vv.ν.嗯。ν.嗯。在末态有四个（反）中微子，这给唯象学研究带来了麻烦。本文采用机器学习的方法来解决这一问题。我们发现，人工神经网络有助于提取W+W− → W+W−的贡献，并重建子过程的质心能量，这在标准模型有效场论的研究中具有重要意义。在μ子对撞机上用$$ sqrt{s} $$计算了8维算符的灵敏度和期望约束。S. = 30 TeV。我们证明了人工神经网络在末态多中微子过程的唯象研究中表现出巨大的潜力。
The muon collider provides a unique opportunity to study the vector boson scattering processes and dimension-8 operators contributing to anomalous quartic gauge couplings (aQGCs). Because of the cleaner final state, it is easier to decode subprocess and certain operator couplings at a muon collider. We attempt to identify the anomalous WWWW coupling in the exclusive WW → WW scattering in this paper. Since one aQGC can be induced by multiple dimension-8 operators, the study of one coupling can help to confine different operators. Meanwhile, singling out the WW → WW process can help to study the unitarity bounds. The vector boson scattering process corresponding to the anomalous WWWW coupling is μ+μ− → $$ nu nu overline{nu}overline{nu } $$. νν. ν. ¯. ν. ¯. ℓ+ℓ−, with four (anti-)neutrinos in the final state, which brings troubles in phenomenological studies. In this paper, the machine learning method is used to tackle this problem. We find that, the artificial neural network is helpful to extract the W+W− → W+W− contribution, and reconstruct the center of mass energy of the subprocess which is important in the study of the Standard Model effective field theory. The sensitivities and the expected constraints on the dimension-8 operators at the muon collider with $$ sqrt{s} $$. s. = 30 TeV are presented. We demonstrate that the artificial neural networks exhibit great potential in the phenomenological study of processes with multiple neutrinos in the final state.