Self-consistent electron-THF cross sections derived using data-driven swarm analysis with a neural network model

Stokes, P.W.;Casey, M.J.E.;Cocks, D. G.;De Urquijo, J.;Garcia, G.;Brunger, M.J.;White, R.D.

Abstract

We present a set of self-consistent cross sections for electron transport in gaseous tetrahydrofuran (THF), that refines the set published in our previous study [1] by proposing modifications to the quasielastic momentum transfer, neutral dissociation, ionisation and electron attachment cross sections. These adjustments are made through the analysis of pulsed-Townsend swarm transport coefficients, for electron transport in pure THF and in mixtures of THF with argon. To automate this analysis, we employ a neural network model that is trained to solve this inverse swarm problem for realistic cross sections from the LXCat project. The accuracy, completeness and self-consistency of the proposed refined THF cross section set is assessed by comparing the analyzed swarm transport coefficient measurements to those simulated via the numerical solution of Boltzmann's equation.

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Plasma Sources Science and Technology

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1361-6595

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IOP Publishing

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DOI

10.1088/1361-6595/abb4f6