Application of Kalman filtering technique for evaluation of neutron cross section data of 100Mo (n, 2n) 99Mo reaction

In this paper, for the first time, evaluation of neutron cross section data of 100Mo (n, 2n) 99Mo reaction is performed using experimental data available in IAEA-EXFOR database library and nuclear model-based data generated using Talys 1.9 code by applying a novel method of combining Kalman filterin...

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Vydané v:	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Ročník 1020
Hlavní autori:	Ram, Sangeetha Prasanna, Nair, Jayalekshmi, Suryanarayana, Saraswatula Venkata, Ganesan, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 21.12.2021
Predmet:	Covariance analysis Kalman filtering technique Machine learning regression algorithms Nuclear data evaluation Nuclear data evaluation Kalman filtering technique Machine learning regression algorithms Covariance analysis
ISSN:	0168-9002, 1872-9576
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