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dc.contributor.authorSchmalzried, Anthony
dc.contributor.authorLuque, Alejandro
dc.contributor.authorLehtinen, Nikolai Grigorievich
dc.date.accessioned2023-03-15T12:40:36Z
dc.date.available2023-03-15T12:40:36Z
dc.date.created2022-06-09T12:12:06Z
dc.date.issued2022
dc.identifier.issn0010-4655
dc.identifier.urihttps://hdl.handle.net/11250/3058422
dc.description.abstractIn the presence of an electric field, electrons would theoretically accelerate asymptotically to relativistic energies. However, regular collisions with air molecules limit the increase in electron energy. The stochastic nature of collisions leaves a theoretical probability that an electron elude inelastic collisions thereby accumulating an atypically high energy. Such an electron, under specific criteria, could be called a “thermal” or “cold runaway”. Depending on the electric field, the runaway probability might be too low to be computationally observed without resorting to Monte Carlo importance sampling. This article provides a method for fixing the spectral energy resolution of electrons through the combined methodology of Russian roulette and probabilistic splitting in order to render the study of runaway mechanism amenable to electron swarm simulations in various plasma physics applications.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEnhancing higher-energy spectral resolution for electron particle simulations in airen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumber108366en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.cpc.2022.108366
dc.identifier.cristin2030464
dc.source.journalComputer Physics Communicationsen_US
dc.identifier.citationComputer Physics Communications. 2022, 277, 108366.en_US
dc.source.volume277en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal