Mutual Neutralization in Collisions of \(\text {B}^+\) and \(\text {H}^-\)

IF 1.8 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Few-Body Systems Pub Date : 2025-08-13 DOI:10.1007/s00601-025-02004-9

Berna Arslanoglu, Monja Begau, Ann E. Orel, Åsa Larson

引用次数: 0

Abstract

Motivated by the need to model the plasma at ITER, the cross section - both total and differential - and branching ratios for mutual neutralization in collisions of \(\text {B}^+\) with \(\text {H}^-\) are calculated using a close coupling approach. Potential energy curves and non-adiabatic coupling elements of seven electronic states of BH in \(^1\Sigma ^+\) symmetry are computed using the multireference configuration interaction method.

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\(\text {B}^+\)和碰撞中的相互中和作用 \(\text {H}^-\)

由于需要在ITER上对等离子体进行建模，使用紧密耦合方法计算了\(\text {B}^+\)与\(\text {H}^-\)碰撞时相互中和的横截面（包括总横截面和微分横截面）和分支比。采用多参考组态相互作用方法计算了BH在\(^1\Sigma ^+\)对称下的7个电子态的势能曲线和非绝热耦合元。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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).