Estimation of stagnation performance metrics in magnetized liner inertial fusion experiments using Bayesian data assimilation

We present a new analysis methodology that allows for the self-consistent integration of multiple diagnostics including nuclear measurements, x-ray imaging, and x-ray power detectors to determine the primary stagnation parameters, such as temperature, pressure, stagnation volume, and mix fraction in...

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Veröffentlicht in:Physics of plasmas 2022-05, Vol.29 (5)
Hauptverfasser: Knapp, P. F., Glinsky, M. E., Schaeuble, M. A., Jennings, C. A., Evans, M., Gunning, J., Awe, T. J., Chandler, G. A., Geissel, M., Gomez, M. R., Hahn, K. D., Hansen, S. B., Harding, E. C., Harvey-Thompson, A. J., Humane, S., Klein, B. T., Mangan, M., Nagayama, T., Porwitzky, A. J., Ruiz, D. E., Schmit, P. F., Slutz, S. A., Smith, I. C., Weis, M. R., Yager-Elorriaga, D. A., Ampleford, D. J., Beckwith, K., Mattsson, T. R., Peterson, K. J., Sinars, D. B.
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Sprache:eng
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Zusammenfassung:We present a new analysis methodology that allows for the self-consistent integration of multiple diagnostics including nuclear measurements, x-ray imaging, and x-ray power detectors to determine the primary stagnation parameters, such as temperature, pressure, stagnation volume, and mix fraction in magnetized liner inertial fusion (MagLIF) experiments. The analysis uses a simplified model of the stagnation plasma in conjunction with a Bayesian inference framework to determine the most probable configuration that describes the experimental observations while simultaneously revealing the principal uncertainties in the analysis. We validate the approach by using a range of tests including analytic and three-dimensional MHD models. An ensemble of MagLIF experiments is analyzed, and the generalized Lawson criterion χ is estimated for all experiments.
ISSN:1070-664X
1089-7674
DOI:10.1063/5.0087115