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Power dissipation analysis in N2O RF discharges using Monte Carlo modelling

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dc.contributor.author Yousfi, M
dc.contributor.author Younis, G
dc.contributor.author Despax, B
dc.contributor.author Caquineau, H
dc.date.accessioned 2019-06-10T12:51:35Z
dc.date.available 2019-06-10T12:51:35Z
dc.date.issued 2007-03-16
dc.identifier.uri http://e-biblio.univ-mosta.dz/handle/123456789/10768
dc.description.abstract In this paper, a microscopic approach for the calculation of partial and total power dissipation from energy losses by collisions is considered and applied in the case of N2O low pressure RF discharges. This approach is based on a Monte Carlo technique in a particle model permitting sampling of the energy deposited by different inelastic electron–N2O collisions. The calculated power densities presented in this paper are in good agreement with the experimental results and those obtained by the classical macroscopic formula based on spatio-temporal integration of the product of current density and electrical field. This microscopic approach presents, however, a major advantage in comparison with the classical method (which only offers the possibility to calculate the global power dissipation) by making possible the calculation of all the power density terms, thereby permitting one to examine the relative contribution of each collision process in the power dissipation. Its application to N2O electronegative discharges, at 503K gas temperature, several RF voltages and two different gas pressures shows how the power is dissipated through electron–gas processes. The power density variation is found to be proportional to the electron density variation brought about by the changes in attachment (i.e. e +N2O → N2 + O−), detachment (i.e. NO− + N2O → NO+N2O + e) and ionization (i.e. e + N2O → N2O+ + 2e) processes. The role of each of these processes is fully studied with our particle model in order to explain the dissipated power variation. en_US
dc.publisher Journal of Physics D: Applied Physics en_US
dc.title Power dissipation analysis in N2O RF discharges using Monte Carlo modelling en_US
dc.type Article en_US


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