Regression analysis of experimental reaction cross-section data of 241Am(n, 2n)240 Am

被引：1

作者：

Phatak., Tejashree S. ^{[1
]}

Nair, Jayalekshmi ^{[2
]}

Ram, Sangeetha Prasanna ^{[2
]}

Roy, B. J. ^{[3
]}

Mohanto, G. ^{[3
]}

机构：

[1] VES Inst Technol, Dept Elect, Mumbai 400074, Maharashtra, India

[2] VES Inst Technol, Dept Instrumentat, Mumbai 400074, Maharashtra, India

[3] Bhabha Atom Res Ctr, Nucl Phys Div, Mumbai 400085, Maharashtra, India

来源：

15TH INTERNATIONAL CONFERENCE ON NUCLEAR DATA FOR SCIENCE AND TECHNOLOGY, ND2022 | 2023年 / 284卷

关键词：

D O I：

10.1051/epjconf/202328414016

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Pre-processing of neutron reaction cross-section is essential in the nuclear data evaluation. This work aims to pre-process experimental cross-section data of (241) Am (n, 2n) (240) Am neutron reaction. Pre-processing of the experimental data includes re-normalization, removal of the outliers, integrating multiple cross-section values at single energy to single cross-section value, and regression on the cleaned experimental data. To remove outliers from the data, standardized residual and studentized residual have been used. For integration of multiple cross-section values to single cross-section value, the weighted average method has been used. Regression on the cleaned experimental data has been accomplished using the Gaussian Process Regression (GPR) and Polynomial Regression (PR), and the performance of both regression methods has been studied using statistical indices such as the determination of coefficient (R-2) and the sum of the square of residual (SSres).

引用

页数：3

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