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

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: the over-tuning of one model can hide physics inadequacies in another. The ray-based models...

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Bibliographic Details
Published in:Physics of plasmas 2019-07, Vol.26 (7)
Main Authors: Colaïtis, A., Follett, R. K., Palastro, J. P., Igumenschev, I., Goncharov, V.
Format: Article
Language:English
Subjects:
Adaptive algorithms
Alkalies
Computational fluid dynamics
Computer simulation
Energy conservation
Energy transfer
Etalons
Finite element method
Fluid flow
Fluid mechanics
Grid refinement (mathematics)
Hydrodynamics
Inertial confinement fusion
Ion acoustic waves
Laser plasmas
Mathematical models
Parameters
Permittivity
Plasma physics
Ray tracing
Reconstruction
Simulation
Stability
Tuning
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Summary: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: the over-tuning of one model can hide physics inadequacies in another. The ray-based models of cross-beam-energy transfer (CBET) represent this risk. 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 Inline Field Reconstruction and Interaction using Inverse Tracing framework. 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 demonstrate its ability to control energy conservation and gain convergence through the AMR depth only, without the use of ad hoc physical models or artificial tuning parameters.
ISSN:1070-664X
1089-7674
DOI:10.1063/1.5108777