Reply to ‘Comment on the paper N. A. Dyatko, I. V. Kochetov and A. P. Napartovich ‘Non-thermal plasma instabilities induced by deformation of the electron energy distribution function’,<i>Plasma Sources Sci. Technol</i>.<b>23</b>(2014) 043001’

Dyatko, N. A.; Кочетов, И. В.; Napartovich, A. P.

doi:10.1088/0963-0252/25/1/018002

Cited by 23 publications

(73 citation statements)

References 6 publications

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“…Other gases, like SF 6 , CF 3 I, hydrofluoroolefine, He + H 2 O generated interest in swarm experiments because of their relevance to global warming, high voltage insulation, and biomedicine [15][16][17][18]. Particular transport effects [19][20][21] in specific gas mixtures (like negative differential conductivity) also motivate further experimental studies.…”

Section: Introductionmentioning

confidence: 99%

Scanning drift tube measurements of electron transport parameters in different gases: argon, synthetic air, methane and deuterium

Korolov¹,

Vass²

2016

J. Phys. D: Appl. Phys.

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Measurements of transport coefficients of electrons in a scanning drift tube apparatus are reported for different gases: argon, synthetic air, methane and deuterium. The experimental system allows the spatio-temporal development of the electron swarms ('swarm maps') to be recorded and this information, when compared with the profiles predicted by theory, makes it possible to determine the 'time-of-flight' transport coefficients: the bulk drift velocity, the longitudinal diffusion coefficient and the effective ionization coefficient, in a well-defined way. From these data, the effective Townsend ionization coefficient is determined as well. The swarm maps provide, additionally, direct, unambiguous information about the hydrodynamic/ non-hydrodynamic regimes of the swarms, aiding the selection of the proper regions applicable for the determination of the transport coefficients.

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Section: Introductionmentioning

confidence: 99%

Scanning drift tube measurements of electron transport parameters in different gases: argon, synthetic air, methane and deuterium

Korolov¹,

Vass²

2016

J. Phys. D: Appl. Phys.

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“…In the equations, v d is the electron drift velocity,

n_{N_{2}}

is the density of nitrogen, and

k_{e x c}^{N_{2} (C - B)}

is the excitation rate constant of nitrogen optical emission by electron impact. We solve the Boltzmann equation for the argon/air gas mixture (0.5/0.5) in a local approximation for different reduced electric field strengths and calculate the respective excitation rate constants for electron impact and drift velocity. With these calculated parameters, the measured current density and the nitrogen optical emission we can solve the system of equations (1 and 2) and thereby determine the average electron density.…”

Section: Resultsmentioning

confidence: 99%

Micro‐plasmoids in self organized filamentary dielectric barrier discharges

Engelhardt

Kogelheide

Stapelmann

et al. 2016

Plasma Processes & Polymers

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A filamentary dielectric barrier discharge (DBD) is ignited on a silicon wafer under atmospheric pressure conditions in a mixture of argon and air (0.5/0.5) in two different modes, namely a stochastically ignited filamentary discharge and a self‐organized filamentary discharge by the application of high voltage (HV) pulses at two repetition frequencies, 0.5 and 5 kHz. The discharge conditions are characterized by optical emission spectroscopy and current–voltage measurements. The silicon wafer surface treated with the DBD is studied with an electron microscope. The formation of a homogeneous silicon oxide layer is observed after treatment under a stochastically filamentary DBD. Whereas, in the self‐organized filamentary DBD, etching tracks (thin channels) and blisters are produced on the silicon wafer surface, which are interpreted as tracks of plasmoids, namely plasma objects without any direct contact to a power supply. The transition between the different filamentary modes of the DBD plasma occurs in the presented study through an increase of the repetition frequency of HV pulses, but it can also be caused by small silicon splinters on the wafer surface. The splinters cause ignitions in stable positions, and therefore induce a combination of discharge modes, namely stochastically and self‐organized DBD mode. In close proximity to the splinters, tracks of plasmoids are observed, even in the DBD at low frequency.

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“…As this ensures conservation of the number of particles, we consider a spatially homogeneous system. [25], as gure 27. In that gure the labelling of the H and L curves was exchanged as a misprint.)…”

Section: Particle Simulationmentioning

confidence: 99%

“…The number of steady state and stable solutions of (1) depends on the shape of the Φ( ) T e function. Figure 1(a) shows this function together with the ( ) H T e and ( ) L T e functions [25], for Xe at = E n / 0.035 Td, and a gas temperature of = T 300 H T e and ( ) L T e curves exhibit a 'wavy' behavior and cross each other at three points. As a consequence, the Φ( ) T e function has an 'inverse-N-type' shape and is equal to zero at three T e values.…”

Section: Qualitative Explanation Of the Eedf Bistability Effect In Ramentioning

confidence: 99%

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Bistable solutions for the electron energy distribution function in electron swarms in xenon: a comparison between the results of first-principles particle simulations and conventional Boltzmann equation analysis

Dyatko

2015

Plasma Sources Sci. Technol.

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At low reduced electric elds the electron energy distribution function in heavy noble gases can take two distinct shapes. This 'bistability effect'-in which electron-electron (Coulomb) collisions play an essential role-is analyzed here for Xe with a Boltzmann equation approach and with a rst principles particle simulation method. The solution of the Boltzmann equation adopts the usual approximations of (i) searching for the distribution function in the form of two terms ('two-term approximation'), (ii) neglecting the Coulomb part of the collision integral for the anisotropic part of the distribution function, (iii) treating Coulomb collisions as binary events, and (iv) truncating the range of the electron-electron interaction beyond a characteristic distance. The particle-based simulation method avoids these approximations: the many-body interactions within the electron gas with a true (un-truncated) Coulomb potential are described by a molecular dynamics algorithm, while the collisions between electrons and the background gas atoms are treated with Monte Carlo simulation. We nd a good general agreement between the results of the two techniques, which con rms, to a certain extent, the approximations used in the solution of the Boltzmann equation. The differences observed between the results are believed to originate from these approximations and from the presence of statistical noise in the particle simulations.

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Reply to ‘Comment on the paper N. A. Dyatko, I. V. Kochetov and A. P. Napartovich ‘Non-thermal plasma instabilities induced by deformation of the electron energy distribution function’,Plasma Sources Sci. Technol.23(2014) 043001’

Abstract: In this reply we respond to the comment made by E A Bogdanov, M V Krasilnikov and A A Kudryavtsev on our review 'Non-thermal plasma instabilities induced by deformation of the electron energy distribution function'.

Cited by 23 publications

References 6 publications

Scanning drift tube measurements of electron transport parameters in different gases: argon, synthetic air, methane and deuterium

Scanning drift tube measurements of electron transport parameters in different gases: argon, synthetic air, methane and deuterium

Micro‐plasmoids in self organized filamentary dielectric barrier discharges

Bistable solutions for the electron energy distribution function in electron swarms in xenon: a comparison between the results of first-principles particle simulations and conventional Boltzmann equation analysis

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