Monte Carlo Simulations for the Optimization and Data Analysis of Experiments with Ultracold Neutrons

N. Ayres, E. Chanel, B. Clement, P. Harris, R. Picker, G. Pignol, W. Schreyer, G. Zsigmond
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引用次数: 2

Abstract

Ultracold neutrons (UCN) with kinetic energies up to 300 neV can be stored in material or magnetic confinements for hundreds of seconds. This makes them a very useful tool for probing fundamental symmetries of nature, by searching for charge-parity violation by a neutron electric dipole moment, and yielding important parameters for Big Bang nucleosynthesis, e.g. in neutron-lifetime measurements. Further increasing the intensity of UCN sources is crucial for next-generation experiments. Advanced Monte Carlo (MC) simulation codes are important in optimization of neutron optics of UCN sources and of experiments, but also in estimation of systematic effects, and in bench-marking of analysis codes. Here we will give a short overview of recent MC simulation activities in this field.
蒙特卡罗模拟用于超冷中子实验的优化和数据分析
动能高达300 neV的超冷中子(UCN)可以在材料或磁性容器中储存数百秒。这使得它们成为探测自然界基本对称性的非常有用的工具,通过中子电偶极矩搜索电荷宇称违反,并为大爆炸核合成提供重要参数,例如在中子寿命测量中。进一步提高UCN源的强度对下一代实验至关重要。先进的蒙特卡罗(MC)模拟代码在UCN源和实验中子光学的优化、系统效应的估计和分析代码的基准测试等方面具有重要意义。在这里,我们将简要概述该领域最近的MC模拟活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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