scholarly journals Nonlinear radiation transport simulation with an implicit Monte Carlo method.

1973 ◽  
Author(s):  
L.L. Carter ◽  
C.A. Forest
2010 ◽  
Vol 13 (2) ◽  
pp. 5-14
Author(s):  
Tan Thanh Nguyen ◽  
Phuong Nguyen Dang ◽  
Loan Thi Hong Truong

There are many radiation transport simulation codes using Monte Carlo method in the world nowaday. These codes have many applications such as: dose calculation, investigating radiation detection efficiency, designing radiation shielding, . . . However, these codes are too expensive or too difficult to be applied in many different specific purposes. In this work, we built a radiation transport simulation program based on Monte Carlo method using C++ programing language with the purpose of fast calculation and easy to use. The simulation results of this program show a good agreement in compared to MCNP results.


2009 ◽  
Vol 28 (12) ◽  
pp. 1894-1901 ◽  
Author(s):  
A. Badal ◽  
I. Kyprianou ◽  
Diem Phuc Banh ◽  
A. Badano ◽  
J. Sempau

2019 ◽  
Vol 7 (2A) ◽  
Author(s):  
Renata Aline Del Nero ◽  
Marcos Vinicius Nakaoka Nakandakari ◽  
Hélio Yoriyaz

The Monte Carlo method for radiation transport has been adapted for medical physics application. More specifically, it has received more attention in clinical treatment planning with the development of more efficient computer simulation techniques. In linear accelerator modeling by the Monte Carlo method, the phase space data file (phsp) is an alternative representation for radiation source. However, to create a phase space file and obtain good precision in the results, it is necessary detailed information about the accelerator's head and commonly the supplier does not provide all the necessary data. An alternative to the phsp is the Virtual Source Model (VSM). This alternative approach presents many advantages for the clinical Monte Carlo application. This is the most efficient method for particle generation and can provide an accuracy similar when the phsp is used. This research propose a VSM simulation with the use of a Virtual Flattening Filter (VFF) for profiles and percent depth doses calculation. Two different sizes of open fields (40 x 40 cm² and 40 x 40 cm² rotated 45°) were used and two different source to surface distance (SSD) were applied: the standard 100 cm and custom SSD of 370 cm, which is applied in radiotherapy treatments of total body irradiation. The data generated by the simulation was analyzed and compared with experimental data to validate the VSM. This current model is easy to build and test.


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