Bayesian inferences of electrical current delivered to shocked transmission lines

Hutchinson, T. M.; Ali, S. J.; Grim, G. P.; Meezan, N. B.; LeChien, K. R.

doi:10.1063/5.0168420

Title: Bayesian inferences of electrical current delivered to shocked transmission lines

Journal Article · 20 October 2023 · Journal of Applied Physics

DOI: https://doi.org/10.1063/5.0168420 · OSTI ID:2229591

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^[1]; LeChien, K. R. ^[1]

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Small radius Bdot measurements of electrical current delivered by pulsed power devices are routinely compromised by electrode/convolute plasmas endemic to multiterawatt transmission lines. Inferences of delivered current unaffected by these issues have recently been obtained by numerically optimizing consistency between model predictions and local experimental velocimetry data, but these are only unique for shockless velocity profiles. In the paper we describe a more general Bayesian method capable of inferring current despite the presence of shocks. Additionally, we describe uncertainty estimates and use of the technique on experimental data. This technique is the first to provide uncertainty estimates on the full current trace delivered to an inertial confinement fusion target.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344; NA0003870; AC04-94AL85000

OSTI ID:: 2229591

Report Number(s):: LLNL-JRNL-850408; 1076143; TRN: US2407480

Journal Information:: Journal of Applied Physics, Vol. 134, Issue 15; ISSN 0021-8979

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Title: Bayesian inferences of electrical current delivered to shocked transmission lines

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