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Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy

In the last seven years, Kaniadakis statistics, or [Formula: see text]-statistics, have been applied in reactor physics to obtain generalized nuclear data, which can encompass, for instance, situations that lie outside thermal equilibrium. In this sense, numerical and analytical solutions were devel...

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Autores principales: de Abreu, Willian Vieira, Maciel, João Márcio, Martinez, Aquilino Senra, Gonçalves, Alessandro da Cruz, Schmidt, Lucas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602334/
https://www.ncbi.nlm.nih.gov/pubmed/37420456
http://dx.doi.org/10.3390/e24101437
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author de Abreu, Willian Vieira
Maciel, João Márcio
Martinez, Aquilino Senra
Gonçalves, Alessandro da Cruz
Schmidt, Lucas
author_facet de Abreu, Willian Vieira
Maciel, João Márcio
Martinez, Aquilino Senra
Gonçalves, Alessandro da Cruz
Schmidt, Lucas
author_sort de Abreu, Willian Vieira
collection PubMed
description In the last seven years, Kaniadakis statistics, or [Formula: see text]-statistics, have been applied in reactor physics to obtain generalized nuclear data, which can encompass, for instance, situations that lie outside thermal equilibrium. In this sense, numerical and analytical solutions were developed for the Doppler broadening function using the [Formula: see text]-statistics. However, the accuracy and robustness of the developed solutions contemplating the κ distribution can only be appropriately verified if applied inside an official nuclear data processing code to calculate neutron cross-sections. Hence, the present work inserts an analytical solution for the deformed Doppler broadening cross-section inside the nuclear data processing code FRENDY, developed by the Japan Atomic Energy Agency. To do that, we applied a new computational method called the Faddeeva package, developed by MIT, to calculate error functions present in the analytical function. With this deformed solution inserted in the code, we were able to calculate, for the first time, deformed radiative capture cross-section data for four different nuclides. The usage of the Faddeeva package brought more accurate results when compared to other standard packages, reducing the percentage errors in the tail zone in relation to the numerical solution. The deformed cross-section data agreed with the expected behavior compared to the Maxwell–Boltzmann.
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spelling pubmed-96023342022-10-27 Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy de Abreu, Willian Vieira Maciel, João Márcio Martinez, Aquilino Senra Gonçalves, Alessandro da Cruz Schmidt, Lucas Entropy (Basel) Article In the last seven years, Kaniadakis statistics, or [Formula: see text]-statistics, have been applied in reactor physics to obtain generalized nuclear data, which can encompass, for instance, situations that lie outside thermal equilibrium. In this sense, numerical and analytical solutions were developed for the Doppler broadening function using the [Formula: see text]-statistics. However, the accuracy and robustness of the developed solutions contemplating the κ distribution can only be appropriately verified if applied inside an official nuclear data processing code to calculate neutron cross-sections. Hence, the present work inserts an analytical solution for the deformed Doppler broadening cross-section inside the nuclear data processing code FRENDY, developed by the Japan Atomic Energy Agency. To do that, we applied a new computational method called the Faddeeva package, developed by MIT, to calculate error functions present in the analytical function. With this deformed solution inserted in the code, we were able to calculate, for the first time, deformed radiative capture cross-section data for four different nuclides. The usage of the Faddeeva package brought more accurate results when compared to other standard packages, reducing the percentage errors in the tail zone in relation to the numerical solution. The deformed cross-section data agreed with the expected behavior compared to the Maxwell–Boltzmann. MDPI 2022-10-09 /pmc/articles/PMC9602334/ /pubmed/37420456 http://dx.doi.org/10.3390/e24101437 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Abreu, Willian Vieira
Maciel, João Márcio
Martinez, Aquilino Senra
Gonçalves, Alessandro da Cruz
Schmidt, Lucas
Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title_full Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title_fullStr Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title_full_unstemmed Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title_short Doppler Broadening of Neutron Cross-Sections Using Kaniadakis Entropy
title_sort doppler broadening of neutron cross-sections using kaniadakis entropy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602334/
https://www.ncbi.nlm.nih.gov/pubmed/37420456
http://dx.doi.org/10.3390/e24101437
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