METHES: A Monte Carlo collision code for the simulation of electron transport in low temperature plasmas

Rabie, Mohamed; Franck, Christian M.

doi:10.1016/j.cpc.2016.02.022

Cited by 72 publications

(88 citation statements)

References 26 publications

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“…The error bar is the standard deviation of these values, which could be seen as measure of the reproducibility for the measured distances, according to the introduced standard [2]. For calculations of Bolsig+ [21] version from 8/2012, and simulations of Methes [22] version from 06/2015 was used. Both simulation tools used the same cross section sets.…”

Section: Benchmark Resultsmentioning

confidence: 99%

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Haefliger

Franck

2018

Review of Scientific Instruments

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Abstract. A newly built Pulsed Townsend experimental setup which allows to measure both electron and ion currents is presented. Based on findings operating a previous experiment and on literature, the accuracy of the experimental input parameters was identified as necessary requirement to obtain accurate swarm parameters such as the effective ionization rate coefficient, the density-reduced mobility and the density-normalized longitudinal diffusion coefficient. The influence of the input parameters (gap distance, applied voltage, measured pressure and temperature) is analyzed in detail. An overall accuracy of ±0.5% in the density reduced electric field (E/N ) is achieved, which is close to the theoretically possible limit using the chosen components. The precision of the experimental results is higher than the accuracy. Through an extensive measurement campaign, the repeatability of our measurements proved to be high and similar to the precision. The reproducibility of results at identical (E/N ) is similar to the precision for different distances but decreases for varying pressures. For benchmark purposes, measurements for Ar, CO 2 and N 2 are presented and compared with our previous experimental setup, simulations and other experimental references.PACS numbers: 00.00, 20.00, 42.10 Submitted to: Rev. Sci. Instrum. 2 Definitions (from [1] based on GUM [2]):True value:Value that would be obtained by a perfect measurement, true values are indeterminate by nature. Accuracy:Closeness of the agreement between the result of a measurement and a true value of the measurand. Error:Difference between a measurement and the true value of the measurand. Precision:Closeness of agreement between independent measurements of a quantity under the same conditions. It is a measure of how well a measurement can be made without reference to a theoretical or true value (only in [1]). For example the ionization rate is determined by a linear regression of the log(I) versus time there a random noise affecting I would affect the obtained ionization rate. I is the measured current. Repeatability:Precision of results of successive, independent measurements carried out under the same conditions. Reproducibility: Precision of results of successive independent measurements carried out under different conditions. Uncertainty:Parameter, associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurand.

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Section: Benchmark Resultsmentioning

confidence: 99%

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Haefliger

Franck

2018

Review of Scientific Instruments

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“…The simple model for the three-body electron attachment to c-C 4 F 8 O described in section 4.1 enables us to quantitatively characterize the kinetic processes (8)(9)(10) by determining N sat , k sat and k quad . For measurements in the c-C 4 F 8 O/N 2 and c-C 4 F 8 O/CO 2 mixtures, the observed dependency of ν eff (N ) corresponds not to either limiting cases (i) and (ii) but to the general case (18), where N sat may be of the same order of magnitude as N (N sat ∼ N ).…”

Section: Rate Coefficients and Saturation Density For Three-body Attamentioning

confidence: 99%

“…It is common practice to calculate the effective ionization rate by solving the electron Boltzmann equation [8], or by means of Monte-Carlo simulations [9,10]. The required electron scattering cross sections can be obtained for instance by means of electron beam experiments [11].…”

Section: Introductionmentioning

confidence: 99%

“…Through the processes (8)(9)(10), the density of electrons is coupled with that of (C 4 F 8 O − ) * S . After a few τ , the growth of the electron number is exponential, with the rate [34,40] …”

mentioning

confidence: 99%

“…The mechanism (1-3) and (8)(9)(10) corresponds to a system of differential equations for the densities of electrons and ions. Through the processes (8)(9)(10), the density of electrons is coupled with that of (C 4 F 8 O − ) * S .…”

mentioning

confidence: 99%

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Electron attachment properties of c-C₄F₈O in different environments

Chachereau¹,

Fedor²,

Janečková³

et al. 2016

J. Phys. D: Appl. Phys.

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Abstract. The electron attachment properties of octafluorotetrahydrofuran (c-C 4 F 8 O) are investigated using two complementary experimental setups. The attachment and ionization cross sections of c-C 4 F 8 O are measured using an electron beam experiment. The effective ionization rate coefficient, electron drift velocity and electron diffusion coefficient in c-C 4 F 8 O diluted to concentrations lower than 0.6% in the buffer gases N 2 , CO 2 and Ar, are measured using a pulsed Townsend experiment. A kinetic model is proposed, which combines the results of the two experiments.

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Monte Carlo simulation of electron avalanches and avalanche size distributions in methane

Jovanović

Stamenković

Stankov

et al. 2018

Contributions to Plasma Physics

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The simulation of electron avalanches and avalanche size distributions in methane is presented in this paper. A model for electron transport under the influence of a constant electric field based on the Monte Carlo method is described in detail. The model is verified and then used to simulate the avalanche development, to calculate the number of electrons in the avalanche (avalanche size), and to determine the avalanche size distribution. The simulated avalanche size distributions in methane are compared with the experimental results, and a good agreement is observed. The influence of inter-electrode distance, pressure, and reduced electric field on the shape of the avalanche size distribution is discussed. The assumption from the literature that for a constant reduced electric field the shape of the reduced avalanche size distribution is independent of the mean size of the avalanche is confirmed for a wide range of experimental conditions. The simulations have shown that avalanche size distributions depend only on the reduced electric field, confirming the similarity principle. KEYWORDSavalanche size distribution, electron avalanche, Monte Carlo simulation, similarity principle 1

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METHES: A Monte Carlo collision code for the simulation of electron transport in low temperature plasmas

Cited by 72 publications

References 26 publications

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Electron attachment properties of c-C₄F₈O in different environments

Monte Carlo simulation of electron avalanches and avalanche size distributions in methane

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METHES: A Monte Carlo collision code for the simulation of electron transport in low temperature plasmas

Cited by 72 publications

References 26 publications

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Detailed precision and accuracy analysis of swarm parameters from a pulsed Townsend experiment

Electron attachment properties of c-C4F8O in different environments

Monte Carlo simulation of electron avalanches and avalanche size distributions in methane

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Product

Resources

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Electron attachment properties of c-C₄F₈O in different environments