引入针对具有同构拉格朗日量的暗物质模型的模型基准分析
Introducing Model Benchmark Analysis for dark matter models with isomorphic lagrangians
AI总结：
本文提出模型基准分析方法，将具有相似顶点拓扑但不同 Lorentz 和规范结构的同构暗物质模型归入共享参数空间的模型族，并以 CLIC 上轻子友好型暗费米子搜寻为例给出区分新物理情景的可观测量。
摘要：
在这项工作中，我们提出了一种粒子物理现象学的新颖方法，并将其命名为模型基准分析。我们考虑那些提供具有相似拓扑但不同 Lorentz 与规范结构的顶点的模型，我们将其称为同构模型。在这种设置下，每种理论的耦合常数具有相同的含义，即在描述拓扑等价的图这一意义上相同。因此，每个模型都像一张从参数空间到可观测空间的映射。这一定义使得可以将同构模型归入具有共同参数空间的模型族，并对每个模型执行计算。作为概念验证，我们获得了一些在 CLIC 上寻找轻子友好型暗费米子的指导原则，并鉴于可能在轻子对撞机上出现的新物理信号，作出了旨在区分超越标准模型情景的预测。我们展示了可用于帮助区分不同模型的各种可观测量。
英文摘要：
In this work, we propose a novel approach to particle physics phenomenology, which we dubbed as model benchmark analysis. We consider models that provide vertices with similar topology but different Lorentz and gauge structure, which we call isomorphic models. Under this setup, the coupling constants for each theory have the same meaning, in the sense that describe the topologically equivalent diagrams. Consequently, each model acts like a map of parameter space into the observable space. This definition allows to group isomorphic models into families with a common parameter space and perform calculations for each model. As a proof of concept, we obtained some guidelines for the search of leptophilic dark fermions at CLIC, making predictions oriented to discriminate between beyond the standard model scenarios in light of possible signals of new physics that could appear at lepton colliders. We present different observables that can be useful to help discriminating between models.
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