Optimized operation of fusion devices demands detailed understanding of plasma transport, a problem that must be addressed with advances in both measurement and data analysis techniques. In this work, we adopt Bayesian inference methods to determine experimental particle transport, leveraging opportunities from high-resolution He-like ion spectra in a tokamak plasma. The Bayesian spectral fitting code is used to analyze resonance (w), forbidden (z), intercombination (x, y), and satellite (k, j) lines of He-like Ca following laser blow-off injections on Alcator C-Mod. This offers powerful transport constraints since these lines depend differently on electron temperature and density, but also differ in their relation to Li-like, He-like, and H-like ion densities, often the dominant Ca charge states over most of the C-Mod plasma radius. Using synthetic diagnostics based on the AURORA package, we demonstrate improved effectiveness of impurity transport inferences when spectroscopic data from a progressively larger number of lines are included.

中文翻译：

---

通过多原子线的贝叶斯光谱拟合的粒子传输约束

聚变装置的优化操作需要详细了解等离子体传输，必须通过测量和数据分析技术的进步来解决这个问题。在这项工作中，我们采用贝叶斯推理方法来确定实验粒子输运，利用托卡马克等离子体中高分辨率类氦离子光谱的机会。贝叶斯光谱拟合代码用于分析在 Alcator C-Mod 上激光吹离注射后类氦 Ca 的共振 (w)、禁止 (z)、相互组合 (x, y) 和卫星 (k, j) 线. 这提供了强大的传输限制，因为这些线取决于电子温度和密度，但它们与类锂、类氦和类氢离子密度的关系也不同，通常是大多数 C- Mod等离子半径。