Understanding Cryogenic Target Performance on OMEGA Using Statistics-Based Analysis with a 2-D DRACO Simulation Database
ORAL
Abstract
We present a statistical model based on advanced 2-D simulations that allow us to understand the origins behind observed fusion yield dependencies coupled with other observables. This model shows that these dependencies can be understood with physics models included in DRACO 2-D (Ref. [1]) and can systemically describe the impact of known perturbations (e.g., beam-port geometry, ice roughness, full smoothing by spectral dispersion imprint up to mode 50, etc.) on a measured yield. Using this method, the impact of unmodeled/unknown degradation sources can also be isolated. The latter is valuable for determining code improvements that will lead to accurate extrapolations of hydro-equivalent designs at multi-MJ laser facilities. These code improvements can then be better refined when including statistical modeling with other observables such as hot-spot size and areal density. This material is based upon work supported by the Department of Energy National Nuclear Security Administration under Award Number DE-NA0003856.
[1] P. B. Radha et al., Phys. Plasmas 12, 032702 (2005).
[1] P. B. Radha et al., Phys. Plasmas 12, 032702 (2005).
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Presenters
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Duc Cao
- Laboratory for Laser Energetics, U. of Rochester
- U. Rochester/LLE
- Laboratory for Laser Energetics, University of Rochester
- University of Rochester