Seyyed Soheil Esmaeili, Abbas Ghasemizad, Omid Naserghodsi
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引用次数: 0
Abstract
One of the best methods to investigate and calculate a desired quantity using available limited data is the Bayesian statistical method, which has been recently entered the field of nuclear astrophysics and can be used to evaluate the astrophysical S-factors, the cross sections and, as a result, the nuclear reaction rates of Big Bang Nucleosynthesis. This study tries to calculate the astrophysical S-factor and the rate of reaction T(d,n)4He as an important astrophysical reaction with the help of this method in energies lower that electron repulsive barrier, and for this purpose, it uses the R-Software, which leads to improved results in comparison with the non-Bayesian methods for the mentioned reaction rate.
贝叶斯统计方法是利用现有有限数据研究和计算所需数量的最佳方法之一,该方法最近已进入核天体物理学领域,可用于评估大爆炸核合成的天体物理 S 因子、截面以及核反应速率。本研究试图利用这种方法计算天体物理 S 因子和 T(d,n)4He(一种重要的天体物理反应)在低于电子斥力势垒的能量下的反应速率,为此,它使用了 R 软件,与非贝叶斯方法相比,该软件改进了上述反应速率的计算结果。
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.