Nuclear data users’ requirements for uncertainty data started already in the seventies, when several fast reactor projects did use extensively “statistical data adjustments” to meet data improvement for core and shielding design. However, it was only ∼20–30 years later that a major effort started to produce scientifically based covariance data and in particular since ∼2005. Most work has been done since then with spectacular achievements and enhanced understanding both of the uncertainty evaluation process and of the data utilization in V&V. This paper summarizes some key developments and still open challenges
Although the importance of covariances has been recognized by the nuclear community, there appears t...
In the [eV;MeV] energy range, modelling of the neutron induced reactions are based on nuclear reacti...
The growing need for covariance information to accompany the evaluated cross section data libraries ...
Nuclear data users’ requirements for uncertainty data started already in the seventies, when several...
In the last decade or so, estimating uncertainties associated with nuclear data has become an almost...
The NCSP is a comprehensive program established to help assure continued safe, efficient operations ...
In modern nuclear technology, integral reactor parameter uncertainty evaluation plays a crucial role...
Two distinct methods of propagation for basic nuclear data uncertainties to large scale systems will...
This paper reports on the generation and testing of the covariance matrix associated with the resona...
This paper reports on the generation and testing of the covariance matrix associated with the resona...
Abstract. Covariance data are required to correctly assess uncertainties in design parameters in nuc...
The impact of the current nuclear data library covariances such as in ENDF/B-VII.1, JEFF-3.2, JENDL-...
Covariance evaluations at the China Nuclear Data Center focus on the cross sections of structural ma...
The error estimation for calculated quantities relies on nuclear data uncertainty information availa...
This paper describes the effect of input uncertainties on a set of integral parameters (kinf, nuclid...
Although the importance of covariances has been recognized by the nuclear community, there appears t...
In the [eV;MeV] energy range, modelling of the neutron induced reactions are based on nuclear reacti...
The growing need for covariance information to accompany the evaluated cross section data libraries ...
Nuclear data users’ requirements for uncertainty data started already in the seventies, when several...
In the last decade or so, estimating uncertainties associated with nuclear data has become an almost...
The NCSP is a comprehensive program established to help assure continued safe, efficient operations ...
In modern nuclear technology, integral reactor parameter uncertainty evaluation plays a crucial role...
Two distinct methods of propagation for basic nuclear data uncertainties to large scale systems will...
This paper reports on the generation and testing of the covariance matrix associated with the resona...
This paper reports on the generation and testing of the covariance matrix associated with the resona...
Abstract. Covariance data are required to correctly assess uncertainties in design parameters in nuc...
The impact of the current nuclear data library covariances such as in ENDF/B-VII.1, JEFF-3.2, JENDL-...
Covariance evaluations at the China Nuclear Data Center focus on the cross sections of structural ma...
The error estimation for calculated quantities relies on nuclear data uncertainty information availa...
This paper describes the effect of input uncertainties on a set of integral parameters (kinf, nuclid...
Although the importance of covariances has been recognized by the nuclear community, there appears t...
In the [eV;MeV] energy range, modelling of the neutron induced reactions are based on nuclear reacti...
The growing need for covariance information to accompany the evaluated cross section data libraries ...