论文标题
高密度介质中单个被困离子的动力学：一种随机方法
The dynamics of a single trapped ion in a high density media: a stochastic approach
论文作者
论文摘要
基于Langevin方程，实现了随机配方，以描述超速原子浴中捕获离子的动力学，包括过量的微功能。在杂交分析数方法中描述了离子动力学，其中将离子视为热浴中的经典杂质。结果，离子能量的时间演变和分布来自研究交感神经冷却过程。此外，在不同随机噪声项下的离子动力学也被认为可以获得有关浴场性能在系统能量传输过程中的作用的信息。最后，从该公式获得的结果与采用更传统的蒙特卡洛方法获得的结果形成对比。
Based on the Langevin equation, a stochastic formulation is implemented to describe the dynamics of a trapped ion in a bath of ultracold atoms, including an excess of micromotion. The ion dynamics is described following a hybrid analytical-numerical approach in which the ion is treated as a classical impurity in a thermal bath. As a result, the ion energy's time evolution and distribution are derived from studying the sympathetic cooling process. Furthermore, the ion dynamics under different stochastic noise terms is also considered to gain information on the bath properties' role in the system's energy transfer processes. Finally, the results obtained from this formulation are contrasted with those obtained with a more traditional Monte Carlo approach.
