Loading…
WE‐F‐105‐02: Fano Cavity Test of the Monte Carlo Codes GEANT4 and PENH for Proton Transport
Purpose: In the scope of reference dosimetry of radiotherapy beams, Monte Carlo (MC) simulations are widely used to compute ionization chamber dose response accurately. Uncertainties related to the transport algorithm can be verified performing self‐consistency tests, e.g. the so‐called Fano cavity...
Saved in:
Published in: | Medical Physics 2013-06, Vol.40 (6), p.498-498 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Purpose: In the scope of reference dosimetry of radiotherapy beams, Monte Carlo (MC) simulations are widely used to compute ionization chamber dose response accurately. Uncertainties related to the transport algorithm can be verified performing self‐consistency tests, e.g. the so‐called Fano cavity test. The Fano cavity test is based on the Fano theorem, which states that under charged particle equilibrium (CPE) conditions, the charged particle fluence is independent of the mass density of the media as long as the cross‐sections are uniform. Such tests have not been performed yet for MC codes simulating proton transport. The objectives of this communication are 1) presenting a new methodology for Fano cavity test of MC codes for protons and other charged particles; 2) applying the methodology for two MC codes: GEANT4 and PENELOPE extended to protons (PENH). Methods: The geometry considered is a 10×10 cm2 parallel virtual field and a cavity (2×2×0.2 mm3) in a water phantom with dimensions large enough to ensure CPE. Virtual particles of energy E and attenuation coefficient μ are transported. During each interaction, the virtual particle triggers a proton with kinetic energy E and is then regenerated. Assuming no nuclear reactions and no generation of other secondaries, we theoretically demonstrate that the computed cavity dose should equal μE/ρ times the incident fluence. Simulations satisfying those assumptions were implemented in GEANT4 and PENH. Results: For conservative user‐inputs (small step sizes), both GEANT4 and PENH pass the FANO cavity test within 0.1%. However, differences of 0.6% were observed for PENH using larger step sizes. The difference was attributed to the random‐hinge method that introduces an artificial energy straggling if step size is not small enough. Conclusion: Using safe user‐inputs, both PENH and GEANT4 pass the Fano cavity test for proton transport. Our methodology is valid for any type of charged particle. Jefferson Sorriaux is sponsored by a public‐private partnership IBA ‐ Region Wallonne |
---|---|
ISSN: | 0094-2405 2473-4209 |
DOI: | 10.1118/1.4815618 |