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...
This paper presents the weight-window based variance reduction scheme recently implemented in the Se...
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, ...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
OpenMC is a community-driven open-source Monte Carlo neutron and photon transport simulation code. T...
Variance reduction methods in Monte Carlo calculations are essential especially for the design and a...
A method to automatically reduce the variance in global neutral particle Monte Carlo problems by usi...
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...
A global variance reduction (GVR) scheme with self-adaptive weight-window mesh was recently implemen...
We present an implementation of a general weight window generator for global variance reduction in G...
Released in 2009, the Serpent Monte Carlo code has established itself as a highly efficient and powe...
Monte Carlo (MC) simulations are often used in calculations of radiation transport to enable accurat...
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and s...
International audienceThis paper present a new variance reduction technique called Super Voxel Woodc...
This paper presents the weight-window based variance reduction scheme recently implemented in the Se...
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, ...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...
The variance reduction techniques are necessary for Monte Carlo calculations in which obtaining a de...
OpenMC is a community-driven open-source Monte Carlo neutron and photon transport simulation code. T...
Variance reduction methods in Monte Carlo calculations are essential especially for the design and a...
A method to automatically reduce the variance in global neutral particle Monte Carlo problems by usi...
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...
A global variance reduction (GVR) scheme with self-adaptive weight-window mesh was recently implemen...
We present an implementation of a general weight window generator for global variance reduction in G...
Released in 2009, the Serpent Monte Carlo code has established itself as a highly efficient and powe...
Monte Carlo (MC) simulations are often used in calculations of radiation transport to enable accurat...
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and s...
International audienceThis paper present a new variance reduction technique called Super Voxel Woodc...
This paper presents the weight-window based variance reduction scheme recently implemented in the Se...
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, ...
Variance reduction techniques are employed in Monte Carlo analyses to increase the number of partic...