Calculation of Reaction Rate and Uncertainty for d(p,γ)3He and 3He(d,p)4He Using Bayesian Statistical Approach in Astrophysics

IF 1.4 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Iranian Journal of Science and Technology, Transactions A: Science Pub Date : 2024-04-08 DOI:10.1007/s40995-024-01610-2
Seyyed Soheil Esmaeili, Abbas Ghasemizad, Omid Naserghodsi
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Abstract

One of the most important issues in nuclear astrophysics is the lithium problem, which is the disagreement between the theoretical and experimental values of the lithium abundance of the Big Bang nucleosynthesis. Solving this problem or establishing compatibility between the two mentioned values can be considered as the confirmation of one part of the Big Bang Theory. Bayesian statistics is one of the most recent methods used to improve the calculation accuracy of the abundance of primary nuclei after the Big Bang and their reaction rates. In this study, Bayesian statistics is used to fit the S-factor and also calculate the rate of astrophysical reactions d(p,γ)3He and 3He(d,p)4He using available experimental data. The results of this study are in good agreement with similar Bayesian researches, and can be considered as an improvement compared to the results of the other (non-Bayesian) methods.

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利用天体物理学中的贝叶斯统计方法计算 d(p,γ)3He 和 3He(d,p)4He 的反应速率和不确定性
核天体物理学中最重要的问题之一是锂问题,即大爆炸核合成的锂丰度理论值和实验值之间的分歧。解决这个问题或建立上述两个数值之间的兼容性,可以说是对宇宙大爆炸理论的一个部分的证实。贝叶斯统计是用于提高大爆炸后原核丰度及其反应速率计算精度的最新方法之一。在这项研究中,贝叶斯统计法被用来拟合 S 因子,并利用现有的实验数据计算天体物理反应 d(p,γ)3He 和 3He(d,p)4He 的速率。这项研究的结果与类似的贝叶斯研究结果非常一致,与其他(非贝叶斯)方法的结果相比,可以说是一种改进。
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来源期刊
CiteScore
4.00
自引率
5.90%
发文量
122
审稿时长
>12 weeks
期刊介绍: The aim of this journal is to foster the growth of scientific research among Iranian scientists and to provide a medium which brings the fruits of their research to the attention of the world’s scientific community. The journal publishes original research findings – which may be theoretical, experimental or both - reviews, techniques, and comments spanning all subjects in the field of basic sciences, including Physics, Chemistry, Mathematics, Statistics, Biology and Earth Sciences
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