Accelerating Monte Carlo Shielding Calculations in TRIPOLI-4 with a Deterministic Adjoint Flux
Autor: | Eric Dumonteil, Davide Mancusi, H. Louvin, Michel Nowak, Daniele Sciannandrone, Emiliano Masiello |
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Přispěvatelé: | Service des Réacteurs et de Mathématiques Appliquées (SERMA), Département de Modélisation des Systèmes et Structures (DM2S), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Service d’Études des Réacteurs et de Mathématiques Appliquées (SERMA) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Physics
[PHYS]Physics [physics] 010308 nuclear & particles physics business.industry Radiation field Monte Carlo method Detector 0211 other engineering and technologies Flux 02 engineering and technology 01 natural sciences Particle transport Computational physics Nuclear Energy and Engineering 0103 physical sciences Electromagnetic shielding 021108 energy Radiation protection business |
Zdroj: | Nuclear Science and Engineering Nuclear Science and Engineering, 2019, 193 (9), pp.966-981. ⟨10.1080/00295639.2019.1578568⟩ |
DOI: | 10.1080/00295639.2019.1578568⟩ |
Popis: | In radiation protection studies, the goal is to estimate the response of a detector exposed to a strongly attenuated radiation field. Monte Carlo (MC) particle transport codes give the possibility to efficiently solve for such responses using several variance-reduction (VR) methods that help allocating more CPU time to the simulation of highly contributing histories. The TRIPOLI-4® MC particle transport code offers two main methods, the exponential transform and adaptive multilevel splitting (AMS), which rely on the definition of a suitable importance map. In this paper, we present an implementation of a generalized Consistent Adjoint Driven Importance Sampling (CADIS) methodology for TRIPOLI-4. The implementation relies on coupling with the IDT code, a deterministic solver for the Boltzmann adjoint transport equation, for the generation of importance maps. We study the performance of both VR methods present in TRIPOLI-4 in this setting. In particular, to our knowledge, this is the first time that a CADIS-like methodology has been applied to AMS. © 2019, © 2019 American Nuclear Society. |
Databáze: | OpenAIRE |
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