Recent challenges in monitoring subsurface geological repositories intended for disposal of radioactive materials such as spent nuclear fuel call for new, innovative concepts that are facility independent, cost-effective, passive, and reliable. Once nuclear material is in place at these facilities, reverifying the inventory may no longer be feasible if continuity of knowledge is lost or unavailable to the inspectors. Using cosmic ray muons may present several potential advantages over conventional photon/neutron signatures, and their use in safeguards applications have only received attention in the past decade. However, there have been limited efforts to explore the integration of cosmic ray muons into repository safeguards and study potential gains, risks, and costs. This paper presents a Monte Carlo-based methodology to characterize the cosmic ray muon flux, including muon angular and energy differential distributions at depths representative of subsurface geological repositories. Since there have been limited measurements at these sites and a measurement made in one site is not always transferable to another site, the objective is to develop an efficient simulation method and useful parametrizations to provide a convenient tool for enabling muon simulations at any geological repository site. It is expected these results will provide a better understanding of how muons can be integrated into an existing geological repository safeguards framework.

监测用于处置放射性物质（例如乏核燃料）的地下地质处置库的最新挑战要求建立新的，创新的概念，这些概念必须独立于设施，具有成本效益，被动和可靠。一旦在这些设施中安装了核材料，如果知识的连续性丢失或检查员无法获得，对清单进行核查就不再可行。与传统的光子/中子特征相比，使用宇宙射线μ子可能具有几个潜在的优势，并且它们在保障应用中的使用仅在过去十年中受到关注。但是，在探索将宇宙射线μ子集成到存储库保障措施以及研究潜在的收益，风险和成本方面所做的努力有限。本文提出了一种基于蒙特卡洛的方法来表征宇宙射线μ子通量，包括代表地下地质库的深度处的μ子角和能量差分布。由于在这些站点上进行的测量有限，并且在一个站点上进行的测量并不总是可以转移到另一站点，因此目标是开发一种有效的模拟方法和有用的参数化方法，以提供一个方便的工具，以便在任何地质存储库站点上进行μon模拟。预期这些结果将更好地理解将μ子如何整合到现有的地质资料库保障框架中。由于在这些站点上进行的测量有限，并且在一个站点上进行的测量并不总是可以转移到另一站点，因此目标是开发一种有效的模拟方法和有用的参数化方法，以提供一个方便的工具，以便在任何地质存储库站点上进行μon模拟。预期这些结果将更好地理解将μ子如何整合到现有的地质资料库保障框架中。由于在这些站点上进行的测量有限，并且在一个站点上进行的测量并不总是可以转移到另一站点，因此目标是开发一种有效的模拟方法和有用的参数化方法，以提供一个方便的工具，以便在任何地质存储库站点上进行μon模拟。预期这些结果将更好地理解将μ子如何整合到现有的地质资料库保障框架中。