标题： 在CEPC上使用机器学习测试95 GeV标量粒子 显示英文标题

标题： Testing a 95 GeV Scalar at the CEPC with Machine Learning

摘要： 几个围绕$95\,$GeV 的过剩可能暗示了标准模型之外的额外轻标量粒子。 我们研究了 CEPC 在 Higgsstrahlung 通道$e^{+}e^{-}\!\to ZS$中检验此假设的能力，以及$Z\!\to\mu^{+}\mu^{-}$和$S\!\to\tau^{+}\tau^{-}$。 完整的探测器模拟显示，研究 95 GeV 轻标量的最佳质心能量是 210 GeV。 深度神经网络分类器将发现所需的亮度减少了一半。 在$L=500$ fb$^{-1}$处，CEPC可以探测到$\mu_{\tau\tau}^{ZS} = 0.116\ (0.150)$的信号强度，针对$\sqrt{s}=210\ (240)$GeV。 在翻转的N2HDM中，所有剩余样本的完整$5\sigma$覆盖需要在相应能量下进行$L = 0.9\ (1.4)$ab$^{-1}$。 这些结果确立了210 GeV运行，结合机器学习选择，作为在未来轻子对撞机上确认或反驳95 GeV过量现象的最有效策略。 显示英文摘要

摘要： Several possible excesses around $95\,$GeV hint at an additional light scalar beyond the Standard Model. We examine the capability of the CEPC to test this hypothesis in the Higgsstrahlung channel $e^{+}e^{-}\!\to ZS$ with $Z\!\to\mu^{+}\mu^{-}$ and $S\!\to\tau^{+}\tau^{-}$. Full detector simulation shows that the optimal center-of-mass energy to study the 95 GeV light scalar is 210 GeV. A deep neural network classifier reduces the luminosity required for discovery by half. At $L=500$ fb$^{-1}$, the CEPC can probe signal strengths down to $\mu_{\tau\tau}^{ZS} = 0.116\ (0.150)$ for $\sqrt{s}=210\ (240)$ GeV. A complete $5\sigma$ coverage of all surviving samples in the flipped N2HDM requires $L = 0.9\ (1.4)$ ab$^{-1}$ at the corresponding energies. These results establish a 210 GeV run, augmented by machine-learning selection, as the most efficient strategy to confirm or refute the 95 GeV excess at future lepton colliders.