Nuclear data and applications at the nuclear safety and radioprotection institute: Analysis, evaluation and application

L. Leal; N. Leclaire; F. Fernex; A. Jinaphanh; I. Duhamel

doi:10.1016/j.anucene.2019.06.013

Nuclear data and applications at the nuclear safety and radioprotection institute: Analysis, evaluation and application

L. Leal, N. Leclaire, F. Fernex, A. Jinaphanh, I. Duhamel

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The Institut de Radioprotection et de Sûreté Nucléaire (IRSN) is the French public service expert in nuclear and radiation risks with activities that cover all the related scientific and technical issues. IRSN provides expertise in support of radiation protection and nuclear safety risks. A great deal of research work carried out at IRSN concerns the improvement of computational tools and data used on a daily basis by nuclear safety assessment experts. Particularly in this paper the approach used to improve data quality and its uncertainties is presented. Computation tools and nuclear data evaluation methodology are discussed.

Original language	English
Pages (from-to)	244-249
Number of pages	6
Journal	Annals of Nuclear Energy
Volume	134
DOIs	https://doi.org/10.1016/j.anucene.2019.06.013
State	Published - Dec 2019
Externally published	Yes

Keywords

Data evaluation
Differential and integral data
Nuclear data
Uncertainty

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10.1016/j.anucene.2019.06.013

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title = "Nuclear data and applications at the nuclear safety and radioprotection institute: Analysis, evaluation and application",

abstract = "The Institut de Radioprotection et de S{\^u}ret{\'e} Nucl{\'e}aire (IRSN) is the French public service expert in nuclear and radiation risks with activities that cover all the related scientific and technical issues. IRSN provides expertise in support of radiation protection and nuclear safety risks. A great deal of research work carried out at IRSN concerns the improvement of computational tools and data used on a daily basis by nuclear safety assessment experts. Particularly in this paper the approach used to improve data quality and its uncertainties is presented. Computation tools and nuclear data evaluation methodology are discussed.",

keywords = "Data evaluation, Differential and integral data, Nuclear data, Uncertainty",

author = "L. Leal and N. Leclaire and F. Fernex and A. Jinaphanh and I. Duhamel",

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year = "2019",

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doi = "10.1016/j.anucene.2019.06.013",

language = "English",

volume = "134",

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T1 - Nuclear data and applications at the nuclear safety and radioprotection institute

T2 - Analysis, evaluation and application

AU - Leal, L.

AU - Leclaire, N.

AU - Fernex, F.

AU - Jinaphanh, A.

AU - Duhamel, I.

PY - 2019/12

Y1 - 2019/12

N2 - The Institut de Radioprotection et de Sûreté Nucléaire (IRSN) is the French public service expert in nuclear and radiation risks with activities that cover all the related scientific and technical issues. IRSN provides expertise in support of radiation protection and nuclear safety risks. A great deal of research work carried out at IRSN concerns the improvement of computational tools and data used on a daily basis by nuclear safety assessment experts. Particularly in this paper the approach used to improve data quality and its uncertainties is presented. Computation tools and nuclear data evaluation methodology are discussed.

AB - The Institut de Radioprotection et de Sûreté Nucléaire (IRSN) is the French public service expert in nuclear and radiation risks with activities that cover all the related scientific and technical issues. IRSN provides expertise in support of radiation protection and nuclear safety risks. A great deal of research work carried out at IRSN concerns the improvement of computational tools and data used on a daily basis by nuclear safety assessment experts. Particularly in this paper the approach used to improve data quality and its uncertainties is presented. Computation tools and nuclear data evaluation methodology are discussed.

KW - Data evaluation

KW - Differential and integral data

KW - Nuclear data

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/85067233474

U2 - 10.1016/j.anucene.2019.06.013

DO - 10.1016/j.anucene.2019.06.013

M3 - Article

AN - SCOPUS:85067233474

SN - 0306-4549

VL - 134

SP - 244

EP - 249

JO - Annals of Nuclear Energy

JF - Annals of Nuclear Energy

ER -

Nuclear data and applications at the nuclear safety and radioprotection institute: Analysis, evaluation and application

Abstract

Keywords

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