Positron annihilation into two or three gammas in Geant4

IF 3.5 3区物理与天体物理 Q3 CHEMISTRY, PHYSICAL

Radiation Physics and Chemistry Pub Date : 2026-09-26 DOI:10.1016/j.radphyschem.2026.114505

J. Allison, A.V. Bagulya, D. Bernard, V.N. Ivanchenko, I. Semeniouk

引用次数: 0

Abstract

New models describing processes of positron annihilation into two and three gamma have been introduced into the Geant4 toolkit. A high energy extension of the annihilation of relativistic positrons with electrons in media takes into account first order radiative corrections. Annihilation at rest considers the creation and decay of ortho- and para-positronium states. The correlation of polarisation of emitted gammas is simulated and a method of sampling quantum correlations in positron annihilation to gamma-gamma is developed for the first time. Recommendations for the use of these models are provided, and the effect on simulation results is discussed.

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在Geant4中正电子湮灭成2或3个伽马

描述正电子湮灭成2和3伽马过程的新模型已被引入到Geant4工具包中。介质中相对论性正电子与电子湮灭的高能扩展考虑了一阶辐射修正。静止湮灭考虑了正电子态和准正电子态的产生和衰变。模拟了发射伽马的极化关系，并首次提出了正电子湮灭与γ - γ量子相关的采样方法。提出了使用这些模型的建议，并讨论了这些模型对仿真结果的影响。

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

Radiation Physics and Chemistry 化学-核科学技术

CiteScore

5.60

自引率

17.20%

发文量

574

审稿时长

12 weeks

期刊介绍： Radiation Physics and Chemistry is a multidisciplinary journal that provides a medium for publication of substantial and original papers, reviews, and short communications which focus on research and developments involving ionizing radiation in radiation physics, radiation chemistry and radiation processing. The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria. This could include papers that are very similar to previous publications, only with changed target substrates, employed materials, analyzed sites and experimental methods, report results without presenting new insights and/or hypothesis testing, or do not focus on the radiation effects.