Scattering rates due to lineal dislocations in heterostructures for the Monte Carlo charge transport simulation

1998 ◽  
Vol 73 (1) ◽  
pp. 70-72 ◽  
Author(s):  
Michel Abou-Khalil ◽  
Toshiaki Matsui ◽  
Zahia Bougrioua ◽  
Roman Maciejko ◽  
Ke Wu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Charge Transport ◽  
Transport Simulation ◽  
Scattering Rates

scholarly journals Srna - Monte Carlo codes for proton transport simulation in combined and voxelized geometries

2002 ◽  
Vol 17 (1-2) ◽  
pp. 27-36 ◽  
Author(s):  
Radovan Ilic ◽  
Darko Lalic ◽  
Srboljub Stankovic
Keyword(s):  
Monte Carlo ◽  
Proton Transport ◽  
Transition Probabilities ◽  
Three Dimensional ◽  
Monte Carlo Techniques ◽  
Transport Simulation ◽  
Distribution Calculation ◽  
Beam Characterization ◽  
Positron Emitters ◽  
Tomography Data

This paper describes new Monte Carlo codes for proton transport simulations in complex geometrical forms and in materials of different composition. The SRNA codes were developed for three dimensional (3D) dose distribution calculation in proton therapy and dosimetry. The model of these codes is based on the theory of proton multiple scattering and a simple model of compound nucleus decay. The developed package consists of two codes: SRNA-2KG and SRNA-VOX. The first code simulates proton transport in combined geometry that can be described by planes and second order surfaces. The second one uses the voxelized geometry of material zones and is specifically adopted for the application of patient computer tomography data. Transition probabilities for both codes are given by the SRNADAT program. In this paper, we will present the models and algorithms of our programs, as well as the results of the numerical experiments we have carried out applying them, along with the results of proton transport simulation obtained through the PETRA and GEANT programs. The simulation of the proton beam characterization by means of the Multi-Layer Faraday Cup and spatial distribution of positron emitters obtained by our program indicate the imminent application of Monte Carlo techniques in clinical practice.

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