PC-based process distribution to solve iterative Monte Carlo Simulations in physical dosimetry

被引：0

作者：

Leal, A ^{[1
]}

Sánchez-Doblado, F ^{[1
]}

Perucha, M ^{[1
]}

Rincón, M ^{[1
]}

Arrans, R ^{[1
]}

Bernal, C ^{[1
]}

Carrasco, E ^{[1
]}

机构：

[1] Univ Seville, Fac Med, Dpto Fisiol & Fis Med, Seville, Spain

来源：

ADVANCED MONTE CARLO FOR RADIATION PHYSICS, PARTICLE TRANSPORT SIMULATION AND APPLICATIONS | 2001年

关键词：

D O I：

暂无

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A distribution model to simulate physical dosimetry measurements with Monte Carlo (MC) techniques has been developed. This approach is indicated to solve the simulations where there are continuous changes of measurement conditions (and hence of the input parameters) such as a TPR curve or the estimation of the resolution limit of an optical densitometer in the case of small field profiles. As a comparison, a high resolution scan for narrow beams with no iterative process is presented. The model has been installed on a network PCs without any resident software. The only requirement for these PCs has been a small and temporal Linux partition in the hard disks and to be connecting by the net with our server PC.

引用

页码：211 / 216

页数：6

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