Analysis of therapeutic effectiveness attained through generation of three alpha particles in proton-boron fusion reaction based on Monte Carlo simulation code

2018 ◽  
Vol 316 (3) ◽  
pp. 1059-1065 ◽  
Author(s):  
Sunmi Kim ◽  
Do-Kun Yoon ◽  
Han-Back Shin ◽  
Moo-Sub Kim ◽  
Tae Suk Suh
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fusion Reaction ◽  
Alpha Particles ◽  
Therapeutic Effectiveness ◽  
Simulation Code

Development of multidimensional Monte Carlo simulation code for H− ion and neutral transport in H− ion sources

2002 ◽  
Vol 73 (2) ◽  
pp. 910-913 ◽  
Author(s):  
A. Hatayama ◽  
T. Sakurabayashi ◽  
Y. Ishi ◽  
K. Makino ◽  
M. Ogasawara ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ion Sources ◽  
Simulation Code

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.

Erratum to “Dosimetric parameters estimation using PENELOPE-Monte-Carlo simulation code: Model 6711 a 123I brachytherapy seed”

2006 ◽  
Vol 64 (2) ◽  
pp. 290
Author(s):  
Edgar A.V. Rodríguez ◽  
Elmer P.Q. Alcón ◽  
Miguel L. Rodriguez ◽  
F. Gutt ◽  
Carlos E. de Almeida
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Parameters Estimation ◽  
Simulation Code ◽  
Code Model

F01 Use of the Monte Carlo Simulation Code CEARXRF for the EDXRF Inverse Problem

2005 ◽  
Vol 20 (2) ◽  
pp. 183-183
Author(s):  
W. Guo ◽  
R.P. Gardner ◽  
F. Li
Keyword(s):  
Inverse Problem ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Code
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