Issue |
E3S Web Conf.
Volume 638, 2025
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 14 | |
Section | Applied and Engineering Physics | |
DOI | https://doi.org/10.1051/e3sconf/202563803003 | |
Published online | 16 July 2025 |
Monte Carlo modeling of 6 MV and 18 MV photon energy spectra for radiotherapy using the GATE/GEANT4
1 Hassan II University, Subatomic Research and Applications Team, Laboratory of the Physics of Condensed Matter (LPMC-ERSA), Faculty of Sciences Ben M’Sick, BP 7955, Casablanca, Morocco
2 Hassan I University, Laboratory of Sciences and Health Technologies, High Institute of Health Sciences (ISSS), BP 555, Settat, Morocco
3 Hassan II University, Mohamed VI Center for the Treatment of Cancers of the IBN ROCHD University Hospital Center, Faculty of Medicine and Pharmacy, Casablanca, Morocco
* Corresponding author: tantaoui68@gmail.com
Energy spectrum modeling is crucial in radiotherapy. In this paper, we present a Monte Carlo (MC) simulation-based approach to generate and model reliable energy spectra. We simulated the accelerator head for energies of 6 MV and 18 MV and validated our results by comparing them with experimental data. The phase spaces obtained during the simulation were used as a source to ensure their reliability. From these data, we generated energy spectra modeled by functions. The models obtained from the energy spectra are in the form of functions composed of several distinct polynomial equations, each describing a precise energy interval to ensure the correct reproduction of these spectra. This modeling allows providing predefined models for direct use of one of them by incrementing one of them according to the desired energy as a source during subsequent simulations in radiotherapy.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.