Boltzmann equation and Monte Carlo studies of electron transport in resistive plate chambers

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

“…Electron transport in a gas subject to electric fields is crucial for various applications such as gas based radiation detectors [1,2], plasma processing [3] and high-voltage insulation [4]. Simulations support the understanding of the fundamental processes but are also technologically relevant for the design of equipment.…”

“…Therefore, it is often unclear whether the source of possible discrepancies between the results of BOLSIG+ and MAGBOLTZ arise from different cross section sets or from numerical approximations such as the two-term approximation. Furthermore, BOLSIG+ and MAGBOLTZ do not provide bulk transport data, whereas the distinction between flux and bulk transport parameters might be important for plasma modeling and the derivation of cross sections from measured transport data [19][20][21][22].…”

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

“…[7,8] In order to explain this deviation, numerous statistical models were proposed. [14][15][16][17][18][19][20][21][22][23] A kinetic model for the evolution of electron population, accompanied by measurements of electron avalanches at a constant electric field and pressure and at different gap lengths, in methane was presented in ref. [13] Besides the statistical models, other models for the description of avalanche development have been proposed.…”

“…The Monte Carlo simulation technique has often been used to analyse electron avalanches under various conditions. [19][20][21][22][23] In order to determine the fluctuation of the gas amplification factor, a Monte Carlo simulation of the electron avalanche was carried out. [15] Kondo et al [16] developed a statistical theory for electron avalanches with successors and compared it with the results obtained by Monte Carlo simulation.…”

“…[15] Kondo et al [16] developed a statistical theory for electron avalanches with successors and compared it with the results obtained by Monte Carlo simulation. In a series of papers, [21][22][23] a microscopic Monte Carlo approach was used to model the resistive plate chamber and to study electron avalanche fluctuations. Kunhardt et al [17] used the Monte Carlo method to simulate the spatial development of the electron avalanche in nitrogen and to calculate the electron energy distribution function, the probability distribution for the avalanche size, and the ionization probability.…”