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High-Fidelity Modeling Of Breakdown In Helium: Initiation Processes And Secondary Electron Emission

JOURNAL OF PHYSICS D-APPLIED PHYSICS(2021)

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Abstract
Understanding the role of physical processes contributing to breakdown is critical for many applications in which breakdown is undesirable, such as capacitors, and applications in which controlled breakdown is intended, such as plasma medicine, lightning protection, and materials processing. The electron emission from the cathode is a critical source of electrons which then undergo impact ionization to produce electrical breakdown. In this study, the role of secondary electron yields due to photons (gamma (ph)) and ions (gamma (i)) in direct current breakdown is investigated using a particle-in-cell direct simulation Monte Carlo model. The plasma studied is a one-dimensional discharge in 50 Torr of pure helium with a platinum cathode, gap size of 1.15 cm, and voltages of 1.2-1.8 kV. The current traces are compared with experimental measurements. Larger values of gamma (ph) generally result in a faster breakdown, while larger values of gamma (i) result in a larger maximum current. The 58.4 nm photons emitted from He(2(1)P) are the primary source of electrons at the cathode before the cathode fall is developed. Of the values of gamma (ph) and gamma (i) investigated, those which provide the best agreement with the experimental current measurements are gamma (ph) = 0.005 and gamma (i) = 0.01. These values are significantly lower than those in the literature for pristine platinum or for a graphitic carbon film which we speculate may cover the platinum. This difference is in part due to the limitations of a one-dimensional model but may also indicate surface conditions and exposure to a plasma can have a significant effect on the secondary electron yields. The effects of applied voltage and the current produced by a UV diode which was used to initiate the discharge, are also discussed.
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Key words
plasma modeling, low temperature plasmas, secondary electron emission, particle-in-cell modeling
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