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Performance study of global weight window generator based on particle density uniformity

He, P.; Wu, B.; Hao, L.; Sun, G.; Li, B.; Fischer, Ulrich

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 10$^{5}$ or more. It proves that the GWWG method is an effective tool for deep-penetration simulations using Monte Carlo method.

Verlagsausgabe §
DOI: 10.5445/IR/1000135211
Veröffentlicht am 12.07.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Neutronenphysik und Reaktortechnik (INR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-1-71382-724-5
KITopen-ID: 1000135211
HGF-Programm 31.03.08 (POF III, LK 01) Neutronik
Erschienen in PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Veranstaltung International Conference on Physics of Reactors (PHYSOR 2020), Online, 29.03.2020 – 02.04.2020
Verlag EDP Sciences
Seiten Art.-Nr.: 18005
Serie EPJ Web of Conferences ; 247
Schlagwörter SuperMC / Global variance reduction / Monte Carlo / Particle transport
Nachgewiesen in Dimensions
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