Browsing by Author "de Urquijo, J."

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    Self-consistent electron–THF cross sections derived using data-driven swarm analysis with a neural network model
    (Bristol : IOP Publ., 2020) Stokes, P.W.; Casey, M.J.E.; Cocks, D.G.; de Urquijo, J.; García, G.; Brunger, M.J.; White, R.D.
    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.