Impact of electron transport models on capillary discharge plasmas

A. Diaw, S. J. Coleman, N. M. Cook, J. P. Edelen, E. C. Hansen, P. Tzeferacos

Research output: Contribution to journalArticlepeer-review

Abstract

Magnetohydrodynamics (MHD) can be used to model capillary discharge waveguides in laser-wakefield accelerators. However, the predictive capability of MHD can suffer due to poor microscopic closure models. Here, we study the impact of electron heating and thermal conduction on the capillary waveguide performance as part of an effort to understand and quantify uncertainties in modeling and designing next-generation plasma accelerators. To do so, we perform two-dimensional high-resolution MHD simulations using an argon-filled capillary discharge waveguide with three different electron transport coefficients models. The models tested include (i) Davies et al., (ii) Spitzer, and (iii) Epperlein-Haines (EH). We found that the EH model overestimates the electron temperature inside the channel by over 20% while predicting a lower azimuthal magnetic field. Moreover, the Spitzer model, often used in MHD simulations for plasma-based accelerators, predicts a significantly higher electron temperature than the other models suggest.

Original languageEnglish
Article number063101
JournalPhysics of Plasmas
Volume29
Issue number6
DOIs
StatePublished - Jun 1 2022
Externally publishedYes

Funding

This work was supported by the U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics under Award No. DE-SC0018719. The Flash Center for Computational Science acknowledges support by the U.S. DOE National Nuclear Security Administration (NNSA) under Subcontract Nos. 536203 and 630138 with Los Alamos National Laboratory, Subcontract No. B632670 with LLNL, and support from the Cooperative Agreement No. DE-NA0003856 to the Laboratory for Laser Energetics University of Rochester. Support from the U.S. DOE ARPA-E under Award No. DEAR0001272 is also acknowledged. The software used in this work was developed in part by the U.S. DOE NNSA-and U.S. DOE Office of Science-supported Flash Center for Computational Science at the University of Chicago and the University of Rochester. We would also like to acknowledge helpful discussions and input on discharge current profiles from Dr. Gregory Boyle.

FundersFunder number
Laboratory for Laser Energetics University of Rochester
U.S. DOE ARPA-EDEAR0001272
U.S. Department of Energy
Office of Science
National Nuclear Security Administration536203, 630138
High Energy PhysicsDE-SC0018719
University of Chicago
University of Rochester
Los Alamos National LaboratoryDE-NA0003856, B632670

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