8 pags., 11 figs. ; 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. ; The authors gratefully acknowledge the financial support of the Australian Research Council through the Discovery Projects Scheme (Grant #DP180101655). JdeU thanks PAPIIT-UNAM, Project IN118520 for support. GG acknowledges support from the Spanish Ministerio de Ciencia, Innovacion y Universidades-MICIU (Projects FIS2016-80440 and PID2019-104727RB-C21) and CSIC (Project LINKA 20085).


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

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



    Erscheinungsdatum :

    2020-10-16



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Neural network prediction of the topside electron content over the Euro-African sector derived from Swarm-A measurements

    Abuelezz, Ola A. / Mahrous, Ayman M. / Cilliers, Pierre J. et al. | Elsevier | 2020


    Analysis of swarm behavior using compound eye and neural network control

    Kramper, Wolfgang / Wanker, Ralf / Zimmermann, Karl-Heinz | BASE | 2012

    Freier Zugriff