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
Inglese
Theory, Application, and Implementation of Monte Carlo Method in Science and Technology
Gabriela Hoff et al.
Pooneh Saidi Bidokhti
36
IntechOpen
London
978-1-78985-546-3
https://mts.intechopen.com/booksprocess/aboutthebook/chapter/197644/book/8190
Esperti non anonimi
internazionale
scientifica
Monte Carlo, mammography, medical physics, XRMC, Geant4
sì
info:eu-repo/semantics/bookPart
2.1 Contributo in volume (Capitolo o Saggio)
Hoff, Gabriela; Golosio, Bruno; Streck, Elaine E.; Fanti, Viviana
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
4
268
none
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