Ensemble simulations of inertial confinement fusion implosions
Journal Article
·
· Statistical Analysis and Data Mining
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
The achievement of inertial confinement fusion ignition on the National Ignition Facility relies on the collection and interpretation of a limited (and expensive) set of experimental data. These data are therefore supplemented with state-of-the-art multi-dimensional radiation-hydrodynamic simulations to provide a better understanding of implosion dynamics and behavior. We present a relatively large number (~4000) of systematically perturbed 2D simulations to probe our understanding of low-mode fuel and ablator asymmetries seeded by asymmetric illumination. We find that Gaussian process surrogate models are able to predict both the total neutron yield and the degradation in performance due to asymmetries. Furthermore, the surrogates are then applied to simulations containing new sources of degradation to quantify the impact of the new source.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1346130
- Report Number(s):
- LLNL-PROC--694784
- Journal Information:
- Statistical Analysis and Data Mining, Journal Name: Statistical Analysis and Data Mining Journal Issue: 4 Vol. 10; ISSN 1932-1864
- Publisher:
- WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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