Helium line intensities have been utilized to measure the electron density, n _e , and temperature, T _e , by comparing measured line intensities to a collisional-radiative model (CRM). In this study, we use multiple regression analysis to train a model of the helium line intensities and n _e /T _e obtained from a Thomson scattering system in the linear plasma device Magnum-PSI; based on the trained model, we predict n _e and T _e from line intensities. We show that this method can also obtain radial profiles of n _e and T _e . We discuss appropriate selections of line pairs for the prediction based on the multiple regression analysis. A big advantage of this method against the standard technique using CRM is that modeling of atomic population distributions is not required, which sometimes needs to take into account various effects such as radiation trapping, transport of helium atoms in metastable states, etc.

通过将测量的线强度与碰撞辐射模型 (CRM) 进行比较，氦线强度已被用于测量电子密度n _e和温度T _e。在这项研究中，我们使用多元回归分析来训练从线性等离子体设备 Magnum-PSI 中的汤姆森散射系统获得的氦线强度和n _e / T _e模型；基于训练好的模型，我们根据线强度预测n _e和T _e。我们表明，这种方法也可以获得n _e和T _{e 的}径向轮廓 . We discuss appropriate selections of line pairs for the prediction based on the multiple regression analysis. 与使用 CRM 的标准技术相比，这种方法的一大优势是不需要对原子群分布进行建模，这有时需要考虑各种影响，例如辐射俘获、亚稳态氦原子的传输等。