Electric field determination in air plasmas from intensity ratio of nitrogen spectral bands: I. Sensitivity analysis and uncertainty quantification of dominant processes

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Publikace nespadá pod Fakultu sportovních studií, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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OBRUSNÍK Adam BÍLEK Petr HODER Tomáš ŠIMEK Milan BONAVENTURA Zdeněk

Rok publikování 2018
Druh Článek v odborném periodiku
Časopis / Zdroj PLASMA SOURCES SCIENCE & TECHNOLOGY
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www The ratio of the spectral band intensities of the first negative and second positive spectral systems of molecular nitrogen is a well recognized method for indirect determination of the electric field.
Doi http://dx.doi.org/10.1088/1361-6595/aad663
Klíčová slova electric field; air kinetics; sensitivity analysis; uncertainty quantification; optical emission spectroscopy; cross-sections; nitrogen spectral bands
Popis The ratio of the spectral band intensities of the first negative and second positive spectral systems of molecular nitrogen is a well recognized method for indirect determination of the electric field. It is applied for various plasmas, e.g. barrier and corona discharges for industrial applications or geophysical plasmas occurring in the Earth's atmosphere. The method relies on the dependence of the intensity ratio R(E/N) of selected bands on the reduced electric field strength. Both experimental and theoretical approaches have been used to determine this dependence, yet there still is a rather large spread in the data available in literature. The primary aim of this work is to quantify the overall uncertainty of the theoretical R(E/N) dependence and identify the main sources of this uncertainty. As the first step we perform sensitivity analysis on a full N-2/O-2 plasma kinetics model to find a minimal set of processes that are influential for the R(E/N) dependence. It is found to be in agreement with simplified kinetic models generally used. Subsequently, we utilize Monte Carlo-based uncertainty quantification to provide a confidence band for the electric field obtained from the theoretical R(E/N) dependence. Finally, subsequent steps are proposed to significantly reduce the uncertainty of the method.
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