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Article Dans Une Revue Physics of Plasmas Année : 2019

Adaptive inverse ray-tracing for accurate and effcient modeling of cross beam energy transfer in hydrodynamics simulations

Résumé

Integrated hydrodynamics simulations of inertial confinement fusion rely on reduced physics models. To reproduce experimental trends, these models often feature tuning parameters, but this comes with a risk: over-tuning of one model can hide physics inadequacies in another. Ray-based models of cross-beam-energy transfer (CBET) represents one of these risks. Here we present an accurate and efficient model of CBET suitable for inline implementation in 3D hydrodynamics simulations. Inverse Ray Tracing (IRT) is used to compute the ray field in a 3D permittivity profile described on an unstructured tetrahedral mesh using the IFRIIT framework (Inline Field Reconstruction and Interaction using Inverse Tracing). CBET is accounted for through perturbations to the permittivity associated with ion acoustic waves driven by the overlapped fields. Large gradients in the permittivity are resolved by coupling the IRT to a recursive Adaptive Mesh Refinement (AMR) algorithm. The use of AMR also allows for the resolution of caustics, with accurate field reconstruction performed using the Etalon integral method. Comparisons of the model with wave-based solutions from the Laser Plasma Simulation Environment (LPSE) demonstrate its ability to control energy conservation and gain convergence through AMR depth only, without the use of ad hoc physical models or artificial tuning parameters.
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Dates et versions

hal-03022962 , version 1 (25-11-2020)

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Arnaud Colaïtis, R. k. Follett, J. P Palastro, I. Igumenshchev, V. Goncharov. Adaptive inverse ray-tracing for accurate and effcient modeling of cross beam energy transfer in hydrodynamics simulations. Physics of Plasmas, 2019, ⟨10.1063/1.5108777⟩. ⟨hal-03022962⟩
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