Monte Carlo’s Core and Tests for Application Developers: Geant4 and XRMC Comparison and Validation

Gabriela Hoff
Primo
;
Bruno Golosio;Viviana Fanti
Ultimo
2019-01-01

Abstract

In this chapter, the Monte Carlo (MC) core is presented, particularly its cross-sectional libraries and random generators. The main idea is to introduce validation and reliability of MC applications and to explore its limitations. As an example, a comparison between two MC toolkits, namely XRMC (version 6.5.0–2) and Geant4 (version 10.02.p02), and a validation between each of them and experimental data applied to mammography (external dosimetry) are presented. The simulated quantities compared are exposure, kerma, half-value layer, and backscattering. Limitations, advantages, and disadvantages of using a general and specific MC toolkit are commented too.
2019
978-1-78985-546-3
Monte Carlo, mammography, medical physics, XRMC, Geant4
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