Following the release and initial testing period of the NEA’s Nuclear Data Sensitivity Tool [1], new features have been designed and implemented in order to expand its uncertainty analysis capabilities. The aim is to provide a free online tool for integral benchmark testing, that is both efficient and comprehensive, meeting the needs of the nuclear data and benchmark testing communities. New features include access to P1 sensitivities for neutron scattering angular distribution [2] and constrained Chi sensitivities for the prompt fission neutron energy sampling. Both of these are compatible with covariance data accessed via the JANIS nuclear data software, enabling propagation of the resultant uncertainties in keff to a large series of inte...
This article describes the nuclear data covariance analysis of an experimental design for a neutron ...
The accuracy and precision of nuclear data is of great importance to many fields, including nuclear ...
International audienceThe paper presents IRSN's results of the OECD/NEA WPEC Subgroup 33 benchmark e...
The OECD Nuclear Energy Agency (NEA) has developed and maintains several products that are used in t...
Providing reliable estimates of the nuclear data contribution to the uncertainty of well-known integ...
Uncertainty propagation to keff using a Total Monte Carlo sampling process is commonly used to solve...
A critical examination of the role of uncertainty assessment, target accuracies, role of integral ex...
Concerns within the nuclear data community led to substantial increases of Neutron Data Standards (N...
The selection, testing, verification and benchmarking of evaluated nuclear data consists, in practic...
International audienceThe development of bias estimation methodologies has been a great tool for dat...
Nuclear data (ND) sensitivity and uncertainty (S/U) quantification in shielding applications is perf...
Abstract. The GANDR project was initiated by the IAEA in 2001 with several ambitious goals, includin...
reaction rates, reactivity worths, spent fuel isotopic concentrations, etc., must be caused by the i...
The GANDR project was initiated by the IAEA in 2001 with several ambitious goals, including the even...
The work scope of this project related to the Work Packages of “Uncertainty Reduction Analyses” with...
This article describes the nuclear data covariance analysis of an experimental design for a neutron ...
The accuracy and precision of nuclear data is of great importance to many fields, including nuclear ...
International audienceThe paper presents IRSN's results of the OECD/NEA WPEC Subgroup 33 benchmark e...
The OECD Nuclear Energy Agency (NEA) has developed and maintains several products that are used in t...
Providing reliable estimates of the nuclear data contribution to the uncertainty of well-known integ...
Uncertainty propagation to keff using a Total Monte Carlo sampling process is commonly used to solve...
A critical examination of the role of uncertainty assessment, target accuracies, role of integral ex...
Concerns within the nuclear data community led to substantial increases of Neutron Data Standards (N...
The selection, testing, verification and benchmarking of evaluated nuclear data consists, in practic...
International audienceThe development of bias estimation methodologies has been a great tool for dat...
Nuclear data (ND) sensitivity and uncertainty (S/U) quantification in shielding applications is perf...
Abstract. The GANDR project was initiated by the IAEA in 2001 with several ambitious goals, includin...
reaction rates, reactivity worths, spent fuel isotopic concentrations, etc., must be caused by the i...
The GANDR project was initiated by the IAEA in 2001 with several ambitious goals, including the even...
The work scope of this project related to the Work Packages of “Uncertainty Reduction Analyses” with...
This article describes the nuclear data covariance analysis of an experimental design for a neutron ...
The accuracy and precision of nuclear data is of great importance to many fields, including nuclear ...
International audienceThe paper presents IRSN's results of the OECD/NEA WPEC Subgroup 33 benchmark e...