English

Electron-impact ionization rates for neutral He, Li, and Be in the Tsallis framework

General Physics 2026-05-06 v1

Abstract

The single-ionization rate coefficient of a plasma neutral depends both on the microscopic electron-impact cross section and on the macroscopic shape of the electron energy distribution function (EEDF). We present a reproducible benchmark and sensitivity study -- not a new theory -- of these two effects for the three lightest neutrals He, Li, and Be, combining the recommended Bell~\textit{et~al.}\ (1983) cross sections with a properly normalized two-temperature Tsallis qq-generalized EEDF and varying qq on both sides of the Maxwellian limit and the hot-electron fraction fhotf_{\mathrm{hot}} at Thot=10TbulkT_{\mathrm{hot}}=10\,T_{\mathrm{bulk}}. The calculation cleanly separates two independent uncertainty axes -- cross-section model (Bell vs.\ Lotz) and EEDF shape (Maxwellian vs.\ Tsallis). The Bell--Lotz spread on τM\tau_M is small for He (within about 7%7\%), moderate for Be (17%\lesssim 17\%), and largest for Li (up to +95%+95\% at T=1T=1~keV); sub-extensive distributions (q<1q<1) suppress ionization through a hard tail cut-off, while super-extensive distributions (q>1q>1) enhance low-temperature ionization through a κ\kappa-like power-law tail with κ=1/(q1)\kappa=1/(q-1). The quantitatively safest non-Maxwellian cases are q=1q=1 and q=1.2q=1.2 (κ=5\kappa=5), which lie inside the finite-mean-energy regime; the cases q=1.4q=1.4 and q=1.6q=1.6 are retained as heavy-tail stress tests and should be read as qualitative trends rather than as quantitatively reliable predictions. Both EEDF effects scale with Ip/kBTI_p/k_BT, so He responds most strongly and Li least. The full numerical pipeline is released as a persistent reproducibility package, intended as a drop-in non-Maxwellian ionization module for collisional-radiative and ionization-balance modelling of light-neutral plasmas.

Keywords

Cite

@article{arxiv.2605.02929,
  title  = {Electron-impact ionization rates for neutral He, Li, and Be in the Tsallis framework},
  author = {Abdelmalek Boumali},
  journal= {arXiv preprint arXiv:2605.02929},
  year   = {2026}
}