arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.00173hep-ph
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识别最小复合暗物质

Identifying Minimal Composite Dark Matter

Shuai Xu, Sibo Zheng

AI总结:

本文从强动力学中识别最小复合标量暗物质,通过直接探测和对撞机限制,对比基本标量暗物质,提出区分两种模型的关键特征。

摘要:

我们尝试从具有TeV量级特征质量的强动力学中识别最小复合标量暗物质。我们提供了来自暗物质直接探测和对撞机设施的直接影响与间接限制。与基本标量暗物质相比,我们的结果表明,在复合标量暗物质中,消失的共振质量区域、在特定质量区域内较小的自旋无关暗物质-核子散射截面,以及在高亮度大型强子对撞机(HL-LHC)上的缺失,说明了如何区分这两种暗物质模型。

英文摘要:

We attempt to identify the minimal composite scalar dark matter from strong dynamics with the characteristic mass of order TeV scale. We provide both direct and indirect limits from dark matter direct detections and collider facilities. Compared to a fundamental scalar dark matter, our results show that in the composite scalar dark matter the disappearing resonant mass region, the smaller spin-independent dark matter-nucleon scattering cross section in certain mass region, and the absence at the HL-LHC illustrate how to differentiate these two dark matter models.

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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