scholarly journals Flux and reactive contributions to electron transport in methane.

2000 ◽  
Vol 53 (3) ◽  
pp. 437 ◽  
Author(s):  
K. F. Ness ◽  
A. M. Nolan
Keyword(s):  
Monte Carlo ◽  
Electron Transport ◽  
Energy Partitioning ◽  
Ionisation Energy ◽  
Boltzmann Equation Analysis ◽  
The Monte Carlo Method ◽  
Equation Analysis ◽  
Comparison Of The Results ◽  
Term Approximation ◽  
Good Agreement

A previously developed theoretical analysis (Nolan et al. 1997) is applied to the study of electron transport in methane for reduced electricfields in the range 1 to 1000 Td. The technique of analysis identifies the flux and reactive components of the measurable transport, without resort to the two-term approximation. A comparison of the results of the Monte Carlo method with those of a multiterm Boltzmann equation analysis (Ness and Robson 1986) shows good agreement. The sensitivity of the modelled electron transport to post-ionisation energy partitioning is studied by comparison of three ionisation energy partitioning regimes at moderate (300 Td) and high (1000 Td) values of the reduced electricfield.

scholarly journals A Monte-Carlo Simulation of the Behaviour of Electron Swarms in Hydrogen Using an Anisotropic Scattering Model

1978 ◽  
Vol 31 (4) ◽  
pp. 299 ◽  
Author(s):  
HA Blevin ◽  
J Fletcher ◽  
SR Hunter
Keyword(s):  
Experimental Data ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electron Transport ◽  
Anisotropic Scattering ◽  
Isotropic Scattering ◽  
Transport Parameters ◽  
Simulation Code ◽  
Scattering Model ◽  
Good Agreement

Hunter (1977) found that a Monte-Carlo simulation of electron swarms in hydrogen, based on an isotropic scattering model, produced discrepancies between the predicted and measured electron transport parameters. The present paper shows that, with an anisotropic scattering model, good agreement is obtained between the predicted and experimental data. The simulation code is used here to calculate various parameters which are not directly measurable.

scholarly journals Alignment of Dust Grains by Magnetic Relaxation: A Comparison Between Results Obtained by Two Different Methods

1973 ◽  
Vol 52 ◽  
pp. 187-189
Author(s):  
P. Cugnon
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Magnetic Relaxation ◽  
Planck Equation ◽  
Dust Grains ◽  
Fokker Planck Equation ◽  
The Monte Carlo Method ◽  
Good Agreement ◽  
Fokker Planck

This paper is devoted to a comparison between results obtained by Purcell and Spitzer (1971) using a Monte-Carlo method and by the author (1971) using a Fokker-Planck equation. It is shown that there is a good agreement between the results within the dispersion expected from the Monte-Carlo method.

Secondary Fluorescence of 3D Heterogeneous Materials Using a Hybrid Model

2020 ◽  
Vol 26 (3) ◽  
pp. 484-496
Author(s):  
Yu Yuan ◽  
Hendrix Demers ◽  
Xianglong Wang ◽  
Raynald Gauvin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Analytical Model ◽  
Hybrid Model ◽  
Three Dimensional ◽  
Heterogeneous Materials ◽  
X Ray ◽  
The Monte Carlo Method ◽  
Secondary Fluorescence ◽  
Good Agreement

AbstractIn electron probe microanalysis or scanning electron microscopy, the Monte Carlo method is widely used for modeling electron transport within specimens and calculating X-ray spectra. For an accurate simulation, the calculation of secondary fluorescence (SF) is necessary, especially for samples with complex geometries. In this study, we developed a program, using a hybrid model that combines the Monte Carlo simulation with an analytical model, to perform SF correction for three-dimensional (3D) heterogeneous materials. The Monte Carlo simulation is performed using MC X-ray, a Monte Carlo program, to obtain the 3D primary X-ray distribution, which becomes the input of the analytical model. The voxel-based calculation of MC X-ray enables the model to be applicable to arbitrary samples. We demonstrate the derivation of the analytical model in detail and present the 3D X-ray distributions for both primary and secondary fluorescence to illustrate the capability of our program. Examples for non-diffusion couples and spherical inclusions inside matrices are shown. The results of our program are compared with experimental data from references and with results from other Monte Carlo codes. They are found to be in good agreement.

scholarly journals Application of the Monte Carlo Method for the Estimation of Uncertainty in Radiofrequency Field Spot Measurements

2015 ◽  
Vol 15 (2) ◽  
pp. 72-76 ◽  
Author(s):  
S. Iakovidis ◽  
C. Apostolidis ◽  
T. Samaras
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Field Measurements ◽  
Reference Levels ◽  
Input Quantity ◽  
The Monte Carlo Method ◽  
Nonnormal Distribution ◽  
Comparative Results ◽  
Comparison Of The Results ◽  
Output Quantity

Abstract The objective of the present work is the application of the Monte Carlo method (GUMS1) for evaluating uncertainty in electromagnetic field measurements and the comparison of the results with the ones obtained using the 'standard' method (GUM). In particular, the two methods are applied in order to evaluate the field measurement uncertainty using a frequency selective radiation meter and the Total Exposure Quotient (TEQ) uncertainty. Comparative results are presented in order to highlight cases where GUMS1 results deviate significantly from the ones obtained using GUM, such as the presence of a non-linear mathematical model connecting the inputs with the output quantity (case of the TEQ model) or the presence of a dominant nonnormal distribution of an input quantity (case of U-shaped mismatch uncertainty). The deviation of the results obtained from the two methods can even lead to different decisions regarding the conformance with the exposure reference levels.

scholarly journals Evaluation of Average Directional Effective Emissivities of Isothermal Cylindrical-inner-cone Cavitties Using Monte-Carlo Method

2017 ◽  
Vol 27 (4) ◽  
pp. 357 ◽  
Author(s):  
Minh Nguyen Quang ◽  
Binh Nguyen Van
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Geometrical Parameters ◽  
Time Saving ◽  
Infrared Spectral Range ◽  
Reflection Model ◽  
The Monte Carlo Method ◽  
Infrared Spectral ◽  
Cavity Design ◽  
Good Agreement

We have used the Monte Carlo method based on theory of successive reflections and ray tracing to calculate the average normal directional effective emissivities of isothermal cylindrical-inner-cone cavities for various geometrical parameters. A simplified specular-directional diffuse reflection model was applied in our calculations for cavities working in the infrared spectral range. Our results are in good agreement comparing with what obtained by other authors. The algorithm developed by us has an advantage in simplicity and time saving of calculations. It can be used in blackbody cavity design considerations, especially in the cylindrical-inner-cone cases.

Drift velocity in GaN semiconductors: Monte Carlo simulation and comparison with experimental measurements

2020 ◽  
Vol 26 (4) ◽  
pp. 263-271
Author(s):  
Evgenia Kablukova ◽  
Karl Sabelfeld ◽  
Dmitrii Y. Protasov ◽  
Konstantin S. Zhuravlev
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electron Transport ◽  
Drift Velocity ◽  
Experimental Studies ◽  
Experimental Measurements ◽  
Deformation Potential ◽  
Monte Carlo Algorithms ◽  
Simulation Results ◽  
Good Agreement

AbstractMonte Carlo algorithms are developed to simulate the electron transport in semiconductors. In particular, the drift velocity in GaN semiconductors is calculated, and a comparison with experimental measurements is discussed. Explicit expressions for the scattering probabilities and distributions of the scattering angle of electrons on polar optical and intervalley phonons, and acoustic deformation potential as well are given. A good agreement of the simulation results and the experimental measurements reveals that the M-L valley is located at 0.7 eV higher than the Γ-valley. This value agrees with other experimental studies, while it is lower compared to ab initio calculations.

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