Hybrid collisional-radiative modeling for high-fidelity atomic kinetics
Prashant Sharma, Christopher J. Fontes, Mark Zammit, James Colgan, Nathan Garland, Xian-Zhu Tang
TL;DR
This work addresses the computational cost of high-fidelity collisional-radiative modeling by developing hybrid schemes that retain fine-structure detail for lower-lying states while statistically averaging higher-lying states into superconfigurations. Implemented within the Fusion Collisional-Radiative (FCR) code and using FAC-generated atomic data, two variants—Hybrid-($n_ ext{valence}+4$) and Hybrid-($n_ ext{valence}$)—balance accuracy and efficiency across He, Li, and Be. Benchmark comparisons against fully FS CR calculations show that Hybrid-($n_ ext{valence}+4$) reproduces radiative power loss, average charge, and effective charge to within a few percent for most conditions, while the reduced hybrid exhibits larger deviations at low temperatures where metastable populations are important; efficiency gains are substantial (up to $\sim$25× for Be and $\sim$6–18× for the other elements). The approach enables scalable, predictive plasma modeling for fusion, astrophysical, and laboratory plasmas, and can be extended to higher-$Z$ ions and non-Maxwellian electron distributions in future work.
Abstract
The fidelity of collisional-radiative (CR) models is critical for advancing our understanding of radiative properties and ionization balance in fusion plasmas. In this work, we present and evaluate hybrid CR schemes that combine fine-structure resolution with superconfiguration averaging, offering a practical compromise between accuracy and computational efficiency. Two hybrid CR models are developed for helium, lithium, and beryllium, retaining detailed fine-structure states up to selected principal quantum numbers, while higher-lying states are statistically averaged to form superconfigurations. These models are applied to compute radiative power loss, as well as average and effective charge states, across a wide range of electron temperatures and densities. The results are benchmarked against a fully fine-structure-resolved CR model to assess the accuracy of the hybrid approach. The findings demonstrate the versatility of hybrid CR schemes and their suitability for detailed plasma simulations where predictive fidelity must be balanced with computational cost.
