The Noise Propagation Matrix Method (NPMM) has been extended to get the higher mode solutions. Previous studies show that the NPMM can be used to compute the dominance ratio (DR) of a system. It is essentially the same as the Coarse Mesh Projection Method (CMPM), both of which use the Noise Propagation Matrix (NPM) to determine the DR, either after finishing the Monte Carlo simulation or on-the-fly during the simulation. Since only the fundamental fission source information is explicitly utilized while the higher mode information is implicitly contained in the statistical noises, the NPMM usually requires thousands of cycles to get an approximated estimation of the DR. In this study, the NPMM is extended by simulating the higher modes expli...
A new Monte Carlo (MC) eigenvalue calculation scheme that substantially reduces the number of cycles...
This thesis is concerned with the development of mesh-input-free diagnostics for the determination o...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...
The noise propagation matrix method (NPMM) has been extended to get higher mode solutions. Previous ...
In order to accurately estimate uncertainty of fission source distribution in a Monte Carlo calculat...
Dynamic mode decomposition (DMD) is applied to assess the dominance ratio (the ratio of the second-l...
We describe recent experience and results from implementing a fission matrix capability into the MCN...
Fission source convergence in Monte Carlo criticality calculations can be difficult for some types o...
A general solution strategy of the modified power iteration method for calculating higher eigenmodes...
The Modified Power Method (MPM) has been implemented and applied to three-dimensional (3D) criticali...
International audienceThe knowledge of higher-order harmonics beyond the fundamental mode is importa...
International audienceA new Monte Carlo algorithm which solves transport equations of the neutron no...
A robust multivariate time series method has been established for the Monte Carlo calculation of neu...
In Monte Carlo (MC) criticality calculations, source error propagation through the stationary cycles...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
A new Monte Carlo (MC) eigenvalue calculation scheme that substantially reduces the number of cycles...
This thesis is concerned with the development of mesh-input-free diagnostics for the determination o...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...
The noise propagation matrix method (NPMM) has been extended to get higher mode solutions. Previous ...
In order to accurately estimate uncertainty of fission source distribution in a Monte Carlo calculat...
Dynamic mode decomposition (DMD) is applied to assess the dominance ratio (the ratio of the second-l...
We describe recent experience and results from implementing a fission matrix capability into the MCN...
Fission source convergence in Monte Carlo criticality calculations can be difficult for some types o...
A general solution strategy of the modified power iteration method for calculating higher eigenmodes...
The Modified Power Method (MPM) has been implemented and applied to three-dimensional (3D) criticali...
International audienceThe knowledge of higher-order harmonics beyond the fundamental mode is importa...
International audienceA new Monte Carlo algorithm which solves transport equations of the neutron no...
A robust multivariate time series method has been established for the Monte Carlo calculation of neu...
In Monte Carlo (MC) criticality calculations, source error propagation through the stationary cycles...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
A new Monte Carlo (MC) eigenvalue calculation scheme that substantially reduces the number of cycles...
This thesis is concerned with the development of mesh-input-free diagnostics for the determination o...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...