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arXiv 2602.02720hep-ph
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在HL-LHC上区分维度6和维度8效应的νSMEFT

Differentiating Dimension-6 and Dimension-8 Effects in $ν$SMEFT at the HL-LHC

Institute of Physics(印度物理研究所);Homi Bhabha National Institute(霍米·巴巴国立研究所);Institute for Particle Physics Phenomenology, Department of Physics, Durham University(达勒姆大学粒子物理现象学研究所)

Manimala Mitra, Shakeel Ur Rahaman, Subham Saha, Michael Spannowsky

AI总结:

本文研究了在HL-LHC上区分νSMEFT中维度6和维度8效应的方法,通过分析代表性算符的碰撞现象学,证明维度8效应可通过提升决策树分析与维度6效应区分。

摘要:

我们研究了在标准模型有效场论中引入右旋中微子(νSMEFT)的维度8效应。利用希尔伯特级数形式化方法,我们推导了完整的维度8算符基,并确认与现有分类一致,提供了一个超越传统维度6截断的系统框架。我们分析了代表性算符O_{N²q²B}^{(1,2)}在高亮度LHC上的对撞机现象学。所产生的特征包括右旋中微子与喷注的成对产生,随后衰变为电子-喷注最终状态,可能具有潜在的位移顶点。由于类似的最终状态由主导的维度6算符生成,我们明确探讨维度8贡献是否能从维度6效应中实验区分。利用基于动力学可观察量的提升决策树分析,我们证明维度8信号可以可靠地区分每个相关的维度6假设。我们的结果表明,νSMEFT中的维度8算符可以产生实验上可分辨的特征,并应在对撞机EFT解释中被包括。

英文摘要:

We study dimension-eight effects in the Standard Model Effective Field Theory extended by right-handed neutrinos ($ν$SMEFT). Using the Hilbert series formalism, we derive the complete basis of dimension-eight operators and confirm agreement with existing classifications, providing a systematic framework beyond the conventional dimension-six truncation. We analyse the collider phenomenology of the representative operator $\mathcal{O}_{N^{2}q^{2}B}^{(1,2)}$ at the High-Luminosity LHC. The resulting signatures involve pair production of right-handed neutrinos in association with jets, followed by decays into electron-jet final states with potentially displaced vertices. Since similar final states are generated by leading dimension-six operators, we explicitly address whether dimension-eight contributions can be experimentally distinguished from dimension-six effects. Using a Boosted Decision Tree analysis based on kinematic observables, we show that the dimension-eight signal can be reliably separated from each relevant dimension-six hypothesis. Our results demonstrate that dimension-eight operators in the $ν$SMEFT can give rise to experimentally resolvable signatures and should be included in collider EFT interpretations.

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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