The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a detailed calculation result for a large and complex model is required. The GVR method named as global weight window generator (GWWG) was proposed by the FDS team. In this paper, two typical calculation examples, ISPRA-Fe benchmark in SINBAD (Shielding Integral Benchmark Archive Database) and TF Coils (Toroidal Field coils) of European HCPB DEMO (Helium Cooled Pebble Bed demonstration fusion plant), are used to study the performance of GWWG method. It can be seen from the calculation results that the GWWG method has a significant effect in accelerating the Monte Carlo calculation. Especially when the global convergence calculation results are ne...
High-thoughput calculations at the DFT level already require sophisticated scripts for job generatio...
As technical support of the French Nuclear Safety Authority, IRSN has been developing the MORET Mont...
One of challenges of the Monte Carlo full core simulations is to obtain acceptable statistical varia...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
Released in 2009, the Serpent Monte Carlo code has established itself as a highly efficient and powe...
Variance reduction methods in Monte Carlo calculations are essential especially for the design and a...
We present an implementation of a general weight window generator for global variance reduction in G...
A method to automatically reduce the variance in global neutral particle Monte Carlo problems by usi...
OpenMC is a community-driven open-source Monte Carlo neutron and photon transport simulation code. T...
A global variance reduction (GVR) scheme with self-adaptive weight-window mesh was recently implemen...
In many reactor calculations, high fidelity, high accuracy results are required only in a small spat...
The weight window variance reduction method in the general-purpose Monte Carlo N-Particle radiation ...
Graduation date: 2011Adjoint-derived weight windowing is a hybrid deterministic/Monte Carlo method t...
It is well known that multi-group (MG) Monte Carlo (MC) calculations can run significantly faster th...
High-thoughput calculations at the DFT level already require sophisticated scripts for job generatio...
As technical support of the French Nuclear Safety Authority, IRSN has been developing the MORET Mont...
One of challenges of the Monte Carlo full core simulations is to obtain acceptable statistical varia...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
Released in 2009, the Serpent Monte Carlo code has established itself as a highly efficient and powe...
Variance reduction methods in Monte Carlo calculations are essential especially for the design and a...
We present an implementation of a general weight window generator for global variance reduction in G...
A method to automatically reduce the variance in global neutral particle Monte Carlo problems by usi...
OpenMC is a community-driven open-source Monte Carlo neutron and photon transport simulation code. T...
A global variance reduction (GVR) scheme with self-adaptive weight-window mesh was recently implemen...
In many reactor calculations, high fidelity, high accuracy results are required only in a small spat...
The weight window variance reduction method in the general-purpose Monte Carlo N-Particle radiation ...
Graduation date: 2011Adjoint-derived weight windowing is a hybrid deterministic/Monte Carlo method t...
It is well known that multi-group (MG) Monte Carlo (MC) calculations can run significantly faster th...
High-thoughput calculations at the DFT level already require sophisticated scripts for job generatio...
As technical support of the French Nuclear Safety Authority, IRSN has been developing the MORET Mont...
One of challenges of the Monte Carlo full core simulations is to obtain acceptable statistical varia...