Cross Section Calculation of H–He Collisions using Three-Electron Close-Coupling Method

IF 1.7 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Few-Body Systems Pub Date : 2024-12-11 DOI:10.1007/s00601-024-01974-6

Akinori Igarashi, Daiji Kato

引用次数: 0

Abstract

The three-electron atomic-orbital close-coupling method is applied to H–He collision. The cross sections are calculated for projectile excitations to H(2 s) and H(2p), ionizations of projectile H, single ionization of target He, and electron capture for incident energy of 0.5–30 keV. Some basis sets are adopted to see the convergence behavior of the cross section for each process. The electron-exchange effect is essential to obtain reasonable results. Although the results have not yet reached convergence, the agreement with the experimental data is as good as previous calculations or better.

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来源期刊

Few-Body Systems 物理-物理：综合

CiteScore

2.90

自引率

18.80%

发文量

审稿时长

6-12 weeks

期刊介绍： The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures. Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal. The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).