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DOE OSTI · 1969119

Understanding the fusion yield dependencies in OMEGA DT-layered implosion experiments using a physics-based statistical mapping model

Abstract

Improving the performance of inertial confinement fusion implosions requires physics models that can accurately predict the response to changes in the experimental inputs. Good predictive capability has been demonstrated for the fusion yield using a statistical mapping of simulated outcomes to experimental data [Gopalaswamy et al., Nature 565(771), 581–586 (2019)]. In this paper, a physics-based statistical mapping approach is used to extract and quantify all the major sources of degradation of fusion yield for direct-drive implosions on the OMEGA laser. Here, the yield is found to be dependent on the age of the deuterium tritium fill, the ℓ = 1 asymmetry in the implosion core, the laser beam-to-target size ratio, and parameters related to the hydrodynamic stability. A controlled set of experiments were carried out where only the target fill age was varied while keeping all other parameters constant. The measurements were found to be in excellent agreement with the fill age dependency inferred using the mapping model. In addition, a new implosion design was created, guided by the statistical mapping model by optimizing the trade-offs between increased laser energy coupling at larger target size and the degradations caused by the laser beam-to-target size ratio and hydrodynamic instabilities. When experimentally performed, an increased fusion yield was demonstrated in targets with larger diameters.

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BibTeXRIS

Lees, Arnee, Betti, Riccardo, Knauer, James P., Gopalaswamy, Varchas, Patel, Dhrumir, Woo, Ka Ming, Anderson, Ken S., Campbell, E. Michael, Cao, Duc, Carroll-Nellenback, Jonathan, Epstein, Reuben, Forrest, Chad J., Goncharov, Valeri N., Harding, David R., Hu, Suxing, Igumenshchev, Igor V., Janezic, Roger T., Mannion, Owen M., Radha, P. Bahukutumbi, Regan, Sean P., Shvydky, Alex, Shah, Rahul C., Shmayda, Walter T., Stoeckl, Christian, Theobald, Wolfgang, Thomas, Cliff A.. 2023-01-19. Understanding the fusion yield dependencies in OMEGA DT-layered implosion experiments using a physics-based statistical mapping model. https://doi.org/10.1063/5.0106515

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