Half-Space Albedo Problem for Triplet Anlı-Güngör Scattering

IF 0.7 4区 工程技术 Q3 MATHEMATICS, APPLIED Journal of Computational and Theoretical Transport Pub Date : 2023-02-23 DOI:10.1080/23324309.2023.2218843
R. G. Türeci, D. Gülderen
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Abstract

Abstract Introduction The Anlı-Güngör (AG) scattering function which is written in triplet form is applied to the half-space albedo problem. The aim of the study is to compare the results of albedo between the triplet AG scattering and quadratic AG scattering. Methods The analytical calculations are performed by HN method. Since the HN method is based on the usage of the Case eigenfunctions, they should be derived for the interested in this study. The tabulated results are calculated for varying the secondary neutron number and the scattering parameter. Albedo values for the triplet anisotropic scattering are convergent. A special code is used to get the numerical values in Mathematica with high precision This code holds all numerical values and the results of all algebraic process as a rational number. Thus, the round-off errors in machine language are minimized. A second and completely different numerical process is performed with the Polynomial Regression (PR) and the Artificial Neural Network (ANN). The application of the PR and ANN algorithms are studied with the calculated albedo results in this study. This application is only data mining without performing any analytical calculation. Discussion The expectation is to get bigger albedo values than the quadratic AG scattering. But the results are surprising that the triplet and the quadratic albedo results are close to each other. The result of ANN is more successful than PR results. Moreover, the intermediate values that are not in the data set can also be successfully calculated.
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三重态Anlı-Güngör散射的半空间反照率问题
摘要简介将三元态形式的Anlı-Güngör (AG)散射函数应用于半空间反照率问题。研究的目的是比较三重态银散射和二次态银散射的反照率结果。方法采用HN法进行分析计算。由于HN方法是基于Case特征函数的使用,因此应该为对本研究感兴趣的人推导出它们。对二次中子数和散射参数的变化进行了计算。三态各向异性散射的反照率值是收敛的。使用特殊代码在Mathematica中获得高精度的数值,该代码将所有的数值和所有代数过程的结果保存为有理数。因此,机器语言的舍入误差被最小化。第二种完全不同的数值过程是用多项式回归(PR)和人工神经网络(ANN)进行的。结合反照率计算结果,研究了PR和ANN算法的应用。这个应用程序只是数据挖掘,不执行任何分析计算。期望得到比二次AG散射更大的反照率值。但令人惊讶的是,三重态反照率和二次反照率的结果非常接近。人工神经网络的结果比PR的结果更成功。此外,不在数据集中的中间值也可以成功计算。
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来源期刊
Journal of Computational and Theoretical Transport
Journal of Computational and Theoretical Transport Mathematics-Mathematical Physics
CiteScore
1.30
自引率
0.00%
发文量
15
期刊介绍: Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena. In addition, the journal encourages articles on uncertainty quantification related to these fields. Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.
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