Scrape-Off-Layer Fast Ion (SOLFI) code

SOLFI数据集是由普林斯顿大学天体物理科学系开发的，用于模拟快速离子在托卡马克等离子体中的行为。该数据集包含20000条记录，旨在通过全轨道蒙特卡洛方法追踪离子轨道，包括核心和刮削层（SOL）区域。数据集的创建过程涉及复杂的物理模型和数值模拟，主要应用于研究快速离子对等离子体宏观稳定性的影响，以及在磁镜场中的行为。SOLFI数据集的目标是解决现代聚变反应堆设计中快速离子的约束和传输问题，特别是在球形托卡马克中。

The SOLFI dataset was developed by the Department of Astrophysical Sciences at Princeton University to simulate the behavior of fast ions in tokamak plasmas. This dataset contains 20,000 records, which aims to trace ion trajectories via the full-orbit Monte Carlo method, covering both the core and scrape-off layer (SOL) regions. The creation of the dataset involves complex physical models and numerical simulations, and it is primarily applied to study the effects of fast ions on the macroscopic stability of plasmas, as well as their behavior in magnetic mirror fields. The goal of the SOLFI dataset is to address the confinement and transport issues of fast ions in modern fusion reactor design, particularly in spherical tokamaks.