1. Mining experimental magnetized liner inertial fusion data: Trends in stagnation morphology.
- Author
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Lewis, William E., Yager-Elorriaga, David A., Jennings, Christopher A., Fein, Jeffrey R., Shipley, Gabriel A., Porwitzky, Andrew, Awe, Thomas J., Gomez, Matthew R., Harding, Eric C., Harvey-Thompson, Adam J., Knapp, Patrick F., Mannion, Owen M., Ruiz, Daniel E., Schaeuble, Marc-Andre, Slutz, Stephen A., Weis, Matthew R., Woolstrum, Jeffrey, Ampleford, David J., and Shulenburger, Luke
- Subjects
X-ray imaging ,COLUMNS ,MULTISENSOR data fusion ,REGRESSION analysis ,LINEAR statistical models ,INERTIAL confinement fusion - Abstract
In magnetized liner inertial fusion (MagLIF), a cylindrical liner filled with fusion fuel is imploded with the goal of producing a one-dimensional plasma column at thermonuclear conditions. However, structures attributed to three-dimensional effects are observed in self-emission x-ray images. Despite this, the impact of many experimental inputs on the column morphology has not been characterized. We demonstrate the use of a linear regression analysis to explore correlations between morphology and a wide variety of experimental inputs across 57 MagLIF experiments. Results indicate the possibility of several unexplored effects. For example, we demonstrate that increasing the initial magnetic field correlates with improved stability. Although intuitively expected, this has never been quantitatively assessed in integrated MagLIF experiments. We also demonstrate that azimuthal drive asymmetries resulting from the geometry of the "current return can" appear to measurably impact the morphology. In conjunction with several counterintuitive null results, we expect the observed correlations will encourage further experimental, theoretical, and simulation-based studies. Finally, we note that the method used in this work is general and may be applied to explore not only correlations between input conditions and morphology but also with other experimentally measured quantities. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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