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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Veröffentlicht in:	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Jg. 1020
Hauptverfasser:	Ram, Sangeetha Prasanna, Nair, Jayalekshmi, Suryanarayana, Saraswatula Venkata, Ganesan, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 21.12.2021
Schlagworte:	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
Online-Zugang:	Volltext
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