arXiv 2403.202932024-03hep-ph

在伽马-伽马对撞机上利用多变量技术探测重带电希格斯玻色子

Probing Heavy Charged Higgs Boson Using Multivariate Technique at Gamma-Gamma Collider

Ijaz Ahmed, Abdul Quddus, Jamil Muhammad, Muhammad Shoaib, Saba Shafaq

备注：: 23 pages, 10 figures
发表信息：: Chinese Physics (2024)

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AI总结：

本研究在双希格斯二重态模型下，利用伽马-伽马对撞机，通过多变量技术（BDT、LikelihoodD、MLP）探测重带电希格斯玻色子，分析其产生截面和衰变通道，并评估信号与标准模型背景的可区分性。

摘要：

当前研究在双希格斯二重态模型背景下，探讨了通过光子-光子碰撞产生带电希格斯粒子的过程，包括电弱和量子电动力学辐射的一圈级散射振幅。已对平面（$m_{ϕ^{0}}, \sqrt{s}$）上的截面进行了扫描，研究$γγ\rightarrow H^{+}H^{-}$过程。采用了三个特定的数值情景：低-$m_{H}$、非对齐和短级联。因此，使用$h^{0}$表示低-$m_{H^{0}}$情景，使用$H^{0}$表示非对齐和短级联情景，并应用了新的实验和理论约束。在所有情景中检查了带电希格斯粒子的衰变通道，并对截面进行了分析，结果表明在低能量下所有情景的截面均一致地更高。然而，随着$\sqrt{s}$的增加，所有基准情景的截面在1 TeV处达到峰值。衰变通道的分支比表明，对于非对齐情景，当$BR(H^{\pm} \rightarrow W^{\pm} H^{0})$在$m_{H^{0}}$较大值处下降时，衰变模式$W^{\pm} h^{0}$占主导；对于短级联情景，主要衰变模式仍为$t\bar{b}$，而在低-$m_{H}$情景中，主要衰变通道为$W^{\pm} h^{0}$。\n在我们的研究中，我们采用当代机器学习方法，在3 TeV伽马-伽马对撞机上研究高能希格斯玻色子的产生。我们使用了多变量方法，如提升决策树（BDT）、似然度（LikelihoodD）和多层感知器（MLP），以展示重带电希格斯玻色子相对于最显著的标准模型背景的可观测性。对每个切割值测量了信号效率的纯度和背景抑制。

英文摘要：

The current study explores the production of charged Higgs particles through photon-photon collisions within the Two Higgs Doublet Model context, including one-loop-level scattering amplitude of Electroweak and QED radiation. The cross-section has been scanned for plane ($m_{ϕ^{0}}, \sqrt{s}$) investigating the process of $γγ\rightarrow H^{+}H^{-}$. Three particular numerical scenarios low-$m_{H}$, non-alignment, and short-cascade are employed. Hence using $h^{0}$ for low-$m_{H^{0}}$ and $H^{0}$ for non-alignment and short-cascade scenario, the new experimental and theoretical constraints are applied.The decay channels for charged Higgs particles are examined in all the scenarios along with the analysis for cross-sections revealing that at low energy it is consistently higher for all scenarios. However as $\sqrt{s}$ increases, it reaches a peak value at 1$~$TeV for all benchmark scenarios. The branching ratio of the decay channels indicates that for non-alignment, the mode of decay $W^{\pm} h^{0}$ takes control %{} when $BR(H^{\pm} \rightarrow W^{\pm} H^{0})$ decreases at larger values of $m_{H^{0}}$.} and for short cascade the prominent decay mode remains $t\bar{b}$, while in the low-$m_{H}$ the dominant decay channel is of $W^{\pm} h^{0}$. In our research, we employ contemporary machine-learning methodologies to investigate the production of high-energy Higgs Bosons within a 3$ $TeV Gamma-Gamma collider. We have used multivariate approaches such as Boosted Decision Trees (BDT), LikelihoodD, and Multilayer Perceptron (MLP) to show the observability of heavy-charged Higgs Bosons versus the most significant Standard Model backgrounds. The purity of the signal efficiency and background rejection are measured for each cut value.

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