PERFORMANCE STUDY OF GLOBAL WEIGHT WINDOW GENERATOR BASED ON PARTICLE DENSITY UNIFORMITY

Peng He,Peng He,Bin Wu,Bin Wu,Guangyao Sun,Ulrich Fischer,Lijuan Hao,Lijuan Hao,Bin Li,Bin Li

doi:10.1051/epjconf/202124718005

Peng He, Peng He + Show 8 more

Open Access

https://doi.org/10.1051/epjconf/202124718005

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Abstract

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 needed, the acceleration effect (FOMG) can reach 105 or more. It proves that the GWWG method is an effective tool for deep-penetration simulations using Monte Carlo method.

Highlights

Monte Carlo (MC) is a high precision simulation method which is widely used in particle transport simulation
Two typical deep-penetration cases in both fission and fusion applications, the ISPRA-Fe benchmark case and the radiation loads on TF Coils in European HCPB DEMO, have been calculated with SuperMC using global weight window generator (GWWG) method to show the performance of GWWG method
It could be seen that the GWWG method could significantly improve the convergence speed of the global calculation results

Summary

Introduction

Monte Carlo (MC) is a high precision simulation method which is widely used in particle transport simulation. In MC method, the transport process of particle in phase space is simulated using the principle of random sampling. In the deep-penetration shielding calculation, a large number of particles must be simulated to ensure that there are enough particles reached the tally area. It costs huge amount of computing resources. It is a challenge to improve computational efficiency to get reliable results in as little time as possible for deep-penetration shielding cases in the MC simulation. By setting appropriate weight window parameters, it is possible to uniformly sample particles in the whole phase space, achieving a global variance reduction (GVR)

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Conclusion