Posters - Networking - Exhibition

Wednesday November 09, 2022 from 13:30 to 17:00

Room:

POS-16 Validation of Monte Carlo simulation tools: A Benchmarking study of RayXpert®

Abbas Nasreddine, France

Research Scientist
Irradiation and Dosimetry
Aerial

Abstract

Validation of Monte Carlo simulation tools: A Benchmarking study of RayXpert®

Abbas Nasreddine4, Josef Mittendorfer1, Damien Prieels2, Ludovic Eychenne3, Florent kuntz4.

1High Tech Consulting , Traunkirchen, Austria; 2IBA s.a., Louvain-la-Neuve, Belgium; 3TRAD, Labège, France; 4Aerial, Illkirch, France

Monte Carlo simulation is becoming more and more popular thanks to very user-friendly tools. However, the model results must be compared with dosimetric measurements in order for the simulation tools to be validated and finally qualified for the intended purpose.

An ongoing comparative study using the Monte Carlo simulation tool RayXpert (TRAD, France) will be presented. The Aerial feerix® irradiation facility and dosimetry laboratory were used to compare simulation outputs and dosimetry results.

The purpose of the poster is to present comparative results for high energy electron beam irradiations. At this stage, the study, will answer two questions.

 (i) what is the impact of the 10 MeV electron energy spectrum on the dose distribution?

For this effect of variations in the electron beam energy spectrum on the depth-dose distribution and penetration depth inside an aluminium wedge will be analyzed and the in-silico results compared to experimental measurements.

 (ii) do RayXpert and the dosimetric measurement agree on the dose deposited by scattered electrons in the vicinity of a dense material or at interfaces between materials?

To answer this question, the dose distributions within a specifically designed and fabricated reference product box will be compared. This product is composed of air, polystyrene foam, PVC and stainless steel.

Generally good agreement has been found between model output and dosimetric measurements. Differences between model and experiment are carefully analysed and potential reasons discussed in detail. This benchmarking approach is a contribution to the qualification of the simulation tools and demonstrates the benefits of Monte Carlo simulations to our industry.


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