We examine the robustness of collider phenomenology predictions for a dark sector scenario with QCD-like properties. Pair production of dark quarks at the LHC can result in a wide variety of signatures, depending on the details of the new physics model. A particularly challenging signal results when prompt production induces a parton shower that yields a high multiplicity of collimated dark hadrons with subsequent decays to Standard Model hadrons. The final states contain jets whose substructure encodes their non-QCD origin. This is a relatively subtle signature of strongly coupled beyond the Standard Model dynamics, and thus it is crucial that analyses incorporate systematic errors to account for the approximations that are being made when modeling the signal. We estimate theoretical uncertainties for a canonical substructure observable designed to be sensitive to the gauge structure of the underlying object, the two-point energy correlator $e_2^{(\beta)}$, by computing envelopes between resummed analytic distributions and numerical results from Pythia. We explore the separability against the QCD background as the confinement scale, number of colors, number of flavors, and dark quark masses are varied. Additionally, we investigate the uncertainties inherent to modeling dark sector hadronization. Simple estimates are provided that quantify one's ability to distinguish these dark sector jets from the overwhelming QCD background. Such a search would benefit from theory advances to improve the predictions, and the increase in statistics using the additional data to be collected at the high luminosity LHC.

中文翻译：

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暗区阵雨喷流子结构

我们检查了对具有类似 QCD 特性的暗扇区场景的对撞机现象学预测的稳健性。大型强子对撞机中暗夸克的成对产生会产生各种各样的特征，这取决于新物理模型的细节。当迅速产生导致产生大量准直暗强子并随后衰变成标准模型强子的部分子簇射时，会产生一个特别具有挑战性的信号。最终状态包含其子结构编码其非 QCD 起源的喷流。这是超出标准模型动力学的强耦合的一个相对微妙的特征，因此分析包含系统误差以解释信号建模时所做的近似是至关重要的。我们通过计算重新求和的解析分布和数值结果之间的包络，估计设计为对底层物体的规范结构敏感的规范子结构可观测量的理论不确定性，两点能量相关器 $e_2^{(\beta)}$皮提亚。我们探索了相对于 QCD 背景的可分离性，因为限制尺度、颜色数量、味道数量和暗夸克质量是不同的。此外，我们研究了暗扇区强子化建模固有的不确定性。提供了简单的估计，量化了人们将这些暗扇形喷流与压倒性的 QCD 背景区分开来的能力。这种搜索将受益于理论进步以改进预测，