Monte Carlo Simulation of Negative Ion Collection by a Rocket-Borne Mass Spectrometer

1978 ◽  
Author(s):  
Takashi Sugimura
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Mass Spectrometer ◽  
Negative Ion

Monte Carlo simulation of negative ion production in the negative hydrogen ion source

2000 ◽  
Vol 71 (2) ◽  
pp. 883-886 ◽  
Author(s):  
M. Uematsu ◽  
T. Morishita ◽  
A. Hatayama ◽  
T. Sakurabayashi ◽  
M. Ogasawara
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ion Source ◽  
Hydrogen Ion ◽  
Negative Ion ◽  
Ion Production ◽  
Negative Hydrogen Ion

scholarly journals Monte Carlo Simulation of Transport Process of Electron and Negative Ion Swarms in Oxygen

1977 ◽  
Vol 97 (9) ◽  
pp. 449-456
Author(s):  
Ikuo Okada ◽  
Yosuke Sakai ◽  
Hiroaki Tagashira ◽  
Saburo Sakamoto
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Transport Process ◽  
Negative Ion

NUMERICAL SIMULATION OF THE FORMATION AND PROPAGATION OF STREAMER

2007 ◽  
Vol 18 (06) ◽  
pp. 957-971 ◽  
Author(s):  
A. SETTAOUTI ◽  
L. SETTAOUTI
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electric Fields ◽  
Sulfur Hexafluoride ◽  
Industrial Applications ◽  
Negative Ion ◽  
The Past ◽  
Ion Distributions ◽  
Streamer Propagation

There has been considerable interest in non-thermal discharges over the past decade due to the increased number of industrial applications. The properties of discharges in electronegative gases are most frequently used for technological applications. For the improvement of performance in these applications, it is necessary to understand discharge dynamics experimentally and numerically. In this paper, a Monte Carlo simulation is carried out in sulfur hexafluoride (SF6) in uniform electric fields. The streamer propagation, electron, positive and negative ion distributions and space charge fields are studied in detail as time increases.

Monte Carlo simulation of negative ion transport in the negative ion source (Camembert III)

2002 ◽  
Vol 73 (2) ◽  
pp. 1048-1050 ◽  
Author(s):  
T. Sakurabayashi ◽  
A. Hatayama ◽  
K. Miyamoto ◽  
M. Ogasawara ◽  
M. Bacal
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ion Transport ◽  
Ion Source ◽  
Negative Ion

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

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