R-Matrix Theory for Electron-Ion Collisions in Plasmas

TL;DR

This paper develops an R-matrix theoretical framework and numerical method to accurately compute electron-ion collision wavefunctions under plasma screening, improving plasma modeling and diagnostics.

Contribution

It introduces a general R-matrix approach for screened potentials and provides a numerical method to compute asymptotic wavefunctions for electron-ion collisions.

Findings

Debye screening modifies resonance structures and lowers excitation thresholds.

Collision strengths and rate coefficients follow approximate scaling laws.

Method enables efficient calculation of collision data in plasma conditions.

Abstract

Electron-atom collisions in warm dense plasmas are crucial for astrophysics and controlled fusion research, where calculating short-range scattering matrices under screening plasma potentials is essential. While electron-neutral atom collisions are tractable using the standard Riccati-Bessel wavefunctions in the asymptotic region, electron-ion collisions face challenges due to the extended range of the screened Coulomb potential, which lacks analytical solutions or numerical code packages for asymptotic regular and irregular wavefunctions. We introduce an R-matrix theoretical framework for general screened potentials and develop a numerical method to compute these asymptotic wavefunctions efficiently. Our approach yields short-range scattering phase shifts that remain invariant with respect to the matching point in the asymptotic region. Applying the Debye screening potential as an illustrative example, we calculate elastic and electron-impact excitation collision strengths for H-like ions (He, C, Ne) across varying temperatures and densities. The calculations show that Debye screening systematically modifies resonance structures and progressively lowers excitation thresholds. Nevertheless, the effective collision strengths and rate coefficients exhibit approximate scaling laws. These findings enable convenient access to electron collision data in plasma environments, advancing plasma diagnostics and modeling.