The recently developed method of fast Total Monte Carlo to propagate nuclear data uncertainties was applied to the Martin-Hoogenboom benchmark. For each of the more than 6 million local power tallies, the uncertainty due to nuclear data uncertainties was calculated, based on random variation of data for 235U, 238U, 239Pu and H in H2O thermal scattering. In the center of the core region, the nuclear data uncertainty is 0.9%. Towards the edges of the core, this uncertainty increases to roughly 3%
Two distinct methods of propagation for basic nuclear data uncertainties to large scale systems will...
A correlated sampling technique has been implemented to estimate the impact of cross section modific...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
The aim of this work is to review different Monte Carlo techniques used to propagate nuclear data un...
An uncertainty propagation methodology based on the Monte Carlo method is applied to PWR nuclear des...
An uncertainty propagation methodology based on the Monte Carlo method is applied to PWR nuclear des...
The applications of nuclear physics are many with one important being nuclear power, which can help ...
Precise assessment of propagated nuclear data uncertainties in integral reactor quantities is necess...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
Nuclear data uncertainty propagation based on stochastic sampling ( SS) is becoming more attractive ...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
An uncertainty propagation methodology based on Monte Carlo method is applied to PWR nuclear design ...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
In this paper, the impact of the thermal scattering data for H in H20 is estimated on criticality be...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
Two distinct methods of propagation for basic nuclear data uncertainties to large scale systems will...
A correlated sampling technique has been implemented to estimate the impact of cross section modific...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
The aim of this work is to review different Monte Carlo techniques used to propagate nuclear data un...
An uncertainty propagation methodology based on the Monte Carlo method is applied to PWR nuclear des...
An uncertainty propagation methodology based on the Monte Carlo method is applied to PWR nuclear des...
The applications of nuclear physics are many with one important being nuclear power, which can help ...
Precise assessment of propagated nuclear data uncertainties in integral reactor quantities is necess...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
Nuclear data uncertainty propagation based on stochastic sampling ( SS) is becoming more attractive ...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
An uncertainty propagation methodology based on Monte Carlo method is applied to PWR nuclear design ...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
In this paper, the impact of the thermal scattering data for H in H20 is estimated on criticality be...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
Two distinct methods of propagation for basic nuclear data uncertainties to large scale systems will...
A correlated sampling technique has been implemented to estimate the impact of cross section modific...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...