Litcius/Paper detail

Improvements of the on-the-fly MC variance reduction technique with dynamic WW upper bounds

Yu Zheng, Yuefeng Qiu, Peng Lu, Yixue Chen, U. Fischer, Songlin Liu

2022Nuclear Fusion10 citationsDOI

Abstract

Abstract This paper presents the recent progress in the development of the on-the-fly global variance reduction (OTF-GVR) method for Monte Carlo (MC) shielding calculations. OTF-GVR method provides on-the-fly weight window mesh (WWM) generation along with the particle transport simulation. In the previous study, the solution for the so-called ‘long-history’ problem, in which particles are unnecessarily over-split, is empirical and not fully effective. In this work, an innovative method using dynamic WWM upper bounds was proposed, which diminishes the over-splitting particles by relaxing the weight-windows upper bounds. This method has been proven effective through applications for several fusion reactors and neutron source facilities, with excellent performances over analogue simulations and variance reduction runs using common GVR methods.

Topics & Concepts

Variance reductionReduction (mathematics)Variance (accounting)Divergence (linguistics)Upper and lower boundsComputer scienceWindow (computing)Monte Carlo methodWork (physics)Mathematical optimizationOn the flyApplied mathematicsPhysicsMathematicsStatisticsThermodynamicsMathematical analysisOperating systemBusinessPhilosophyAccountingGeometryLinguisticsNuclear reactor physics and engineeringFusion materials and technologiesNuclear Materials and Properties