Electron-neutral collision cross sections for H2O: II. Anisotropic scattering and assessment of the validity of the two-term approximation

Maik Budde (Corresponding author), Tiago Cunha Dias, Luca Vialetto, Nuno Pinhão, Vasco L. Guerra, Tiago Silva

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

7 Citaten (Scopus)
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Samenvatting

This work proposes a complete and consistent set of cross sections (CS) for electron collisions with water gas molecules to be published in the IST-Lisbon database on LXCat. The set is validated by the electron swarm analysis technique. The anisotropic angular distribution of electrons in rotational collisions is considered by means of the Born approximation in a two-term Boltzmann solver (LisbOn KInetics two-term Boltzmann solver (LoKI-B)) and a Monte Carlo simulations code (LoKI-MC), both freely available as open-source codes. The inclusion of electron anisotropic scattering in rotational collisions significantly improves the agreement between calculations and measurements of the electron drift velocity, reduced mobility, characteristic energy, reduced Townsend ionisation coefficient, reduced effective Townsend coefficient and reduced attachment coefficient. The MC simulations are deemed more accurate and shown to yield similar results as LoKI-B with the proposed set. The use of LoKI-MC also validates the set of CSs against parameters that cannot be obtained by LoKI-B, such as the longitudinal diffusion coefficient or the bulk transport coefficients.
Originele taal-2Engels
Artikelnummer255201
Aantal pagina's11
TijdschriftJournal of Physics D: Applied Physics
Volume56
Nummer van het tijdschrift25
DOI's
StatusGepubliceerd - 22 jun. 2023

Financiering

We acknowledge the valuable comments of Luís Lemos Alves. This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement MSCA ITN 813393, by Portuguese FCT-Fundação para a Ciência e a Tecnologia, under Projects UIDB/50010/2020, UIDP/50010/2020 and PTDC/FIS-PLA/1616/2021 (PARADiSE), Grant PD/BD/ 150414/2019 (PD-F APPLAuSE), and EXPL/FIS-PLA/0076/2021. LV acknowledges fundings from Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 434434223—SFB 1461.

FinanciersFinanciernummer
European Union’s Horizon Europe research and innovation programmeMSCA ITN 813393
Deutsche Forschungsgemeinschaft434434223—SFB 1461
Fundacao para a Ciencia e Tecnologia (FCT)PTDC/FIS-PLA/1616/2021, UIDP/50010/2020, EXPL/FIS-PLA/0076/2021, UIDB/50010/2020, PD/BD/ 150414/2019

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