在质子加速器实验中寻找长寿命暗光子

Yehor Kyselov, Maksym Ovchynnikov
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引用次数: 0

摘要

对寿命前沿实验探索假想长寿命粒子参数空间的能力进行系统而统一的研究,是界定其参数空间的主要步骤之一。对于暗光子--与标准模型光子有动力学混合的假想大质量粒子--还没有进行过这样的分析。现有研究对暗光子现象学的假设各不相同,通常使用的是过时的模型,不能反映最新进展。在本文中,我们对生命前沿实验探测到的 GeV 尺度暗光子的参数空间进行了统一计算,划定了浆糊实验排除的区域和未来实验可以进入的区域。我们的方法结合了研究暗光子产生机制的最新进展,包括质子轫致辐射和与中性介子的混合,并利用了全部强子衰变。此外,我们还探讨了质子轫致辐射中的不确定性对暗光子参数空间的影响,发现它们可能会严重影响许多过去和未来实验的范围,包括最大探测质量。这些结果以可公开获取的格式提供,特别是通过在 \texttt{SensCalc}中实施更新的现象学模型--这是一个用于计算新物理粒子在寿命前沿实验中的事件率的统一工具,该工具得到了模块 \texttt{EventCalc}的补充,该模块对事件进行采样,类似于传统的蒙特卡罗发生器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searches for long-lived dark photons at proton accelerator experiments
A systematic and unified study of the ability of lifetime frontier experiments to explore the parameter space of hypothetical long-lived particles is one of the main steps in defining their parameter space. Such an analysis has not been conducted for dark photons -- hypothetical massive particles that have kinetic mixing with Standard Model photons. Existing studies have varied in their assumptions about dark photon phenomenology, often using outdated models that do not reflect recent advancements. In this paper, we present a unified calculation of the parameter space for GeV-scale dark photons probed by lifetime frontier experiments, delineating the regions excluded by past experiments and those accessible to future experiments. Our approach incorporates the latest advances in studying dark photon production mechanisms, including proton bremsstrahlung and mixing with neutral mesons, and utilizes the full palette of hadronic decays. Additionally, we explore the impact of uncertainties in proton bremsstrahlung on the dark photon parameter space, and find that they may severely affect the reach of many past and future experiments, including the maximal probed mass. The results are provided in a publicly accessible format, specifically through the implementation of the updated phenomenological models in \texttt{SensCalc} - a unified tool for calculating event rates of new physics particles at lifetime frontier experiments, that has been supplemented by the module \texttt{EventCalc} that samples events similar to traditional Monte Carlo generators.
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