Accelerating Monte Carlo Shielding Calculations in TRIPOLI-4 with a Deterministic Adjoint Flux

M. Nowak (1) , D. Mancusi (1) , D. Sciannandrone (1) , E. Masiello (1) , H. Louvin (1) , E. Dumonteil (2)

1 SERMA - Service d’Études des Réacteurs et de Mathématiques Appliquées
2 IRSN - Institut de Radioprotection et de Sûreté Nucléaire

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.

Domaines: Physique [physics]

M. Nowak, D. Mancusi, D. Sciannandrone, E. Masiello, H. Louvin, et al.. Accelerating Monte Carlo Shielding Calculations in TRIPOLI-4 with a Deterministic Adjoint Flux. Nuclear Science and Engineering, 2019, 193 (9), pp.966-981. ⟨10.1080/00295639.2019.1578568⟩. ⟨hal-03149128⟩