带电希格斯玻色子在双希格斯双重模型 Type-1 中的玻色衰变参数空间的可观测性

Ijaz Ahmed, Waqas Ahmad, M. Amjad, Jamil Muhammad
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摘要

本研究探讨了在I型双希格斯双t模型(2HDM)中通过其玻色衰变发现$H^{/pm}$的可能性,即$H^{/pm}/rightarrow W^/pm/phi$(其中$\phi$ = h或A)。主要目的是证明在应用了最近的实验和理论排除极限之后的可用参数空间。我们认为$m_{H^\pm}$ = 150 GeV是在$pp$碰撞中$H^\pm\rightarrow W^\pm\phi$ 衰变通道在$\sqrt{s}$ = 8、13和14 TeV下的最可能质量。我们还报告了现代机器学习方法在多变量技术中对通过弱相互作用与单顶夸克相关的重荷希格斯粒子产生的应用,通过提升决策树(BDT)、似然法(LH)和多层感知器(MLP)神经网络来证明其在最相关的标准模型背景下的可观测性。本作品内容可根据知识共享署名 3.0 许可条款使用。如需进一步传播本作品,必须注明作者、作品名称、期刊引文和 DOI。文章由 SCOAP3 资助,由中国物理学会、中国科学院高能物理研究所、中国科学院近代物理研究所和 IOP Publishing Ltd. 授权出版。
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Observability of Parameter Space for Charged Higgs Boson in its bosonic decays in Two Higgs Doublet Model Type-1
This study explores the possibility of discovering $H^{\pm}$ through its bosonic decays, i.e. $H^{\pm}\rightarrow W^\pm\phi$ (where $\phi$ = h or A), within the Type-I Two Higgs Doublet Model (2HDM). The main objective is to demonstrate the available parameter space after applying the recent experimental and theoretical exclusion limits. We suggest that for $m_{H^\pm}$ = 150 GeV is the most probable mass for the $H^\pm\rightarrow W^\pm\phi$ decay channel in $pp$ collisions at $\sqrt{s}$ = 8, 13 and 14 TeV. We also report the application of modern machine learning approach in multivariate technique on heavy charged Higgs production in association with single top quark through weak interaction to demonstrate its observability against the most relevant Standard Model backgrounds through the neural networks of Boosted Decision Tree (BDT), likelihood (LH) and Multilayer Perceptron (MLP). Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.
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