Benchmarking of electron beam parameters based on Monte Carlo linear accelerator simulation
Author(s) -
Fan Zhang,
Zhou Mi,
J. Liu,
Yue Lu,
Lihua Deng,
Zhi-Jian Xu,
Gang Wang
Publication year - 2020
Publication title -
translational cancer research
Language(s) - English
Resource type - Journals
eISSN - 2219-6803
pISSN - 2218-676X
DOI - 10.21037/tcr.2019.12.02
Subject(s) - monte carlo method , cathode ray , electron , beam (structure) , computational physics , benchmarking , linear particle accelerator , physics , intensity (physics) , energy (signal processing) , atomic physics , optics , nuclear physics , mathematics , statistics , marketing , quantum mechanics , business
Background: The main objective in this paper is to build up a simplified benchmarking procedure to determine the incident electron beam parameters independently using a Monte Carlo linear accelerator model.
Methods: A 10×10 cm2 field is used to acquire the parameters influences on the dose distributions for 6 MeV megavoltage electron beams.
Results: The calculated depth doses had no significant changes when the electron mean energy and radial intensity varied from 5.5–6.4 MeV and 0.1–0.4 cm respectively. And the dose profile simulated with an electron radial intensity among 0.0–0.19 cm had a good agreement with the measured dose profile in the main field, while obvious discrepancies happened in the penumbra region. The mean angular spread was found to be 0.3° to get good match between calculations and measurements at all interested depths. Conclusions: Accurate dose distributions are acquired by using the incident electron beam parameters benchmarked with the proposed procedure. As the percentage depth doses and dose profiles are insensitive to the electron energy and radial intensity correspondingly, they are feasible to benchmark individually.
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