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On pathlength and energy straggling of megavoltage electrons slowing down
Affiliation:1. Division of Nuclear Physics, Ton Duc Thang University, Tan Phong Ward, District 7, Ho Chi Minh City, Viet Nam;2. Faculty of Applied Sciences, Ton Duc Thang University, Tan Phong Ward, District 7, Ho Chi Minh City, Viet Nam;3. CNRS, IN2P3, CENBG, UMR 5797, F-33170 Gradignan, France;4. Université de Bordeaux, CENBG, UMR 5797, F-33170 Gradignan, France;5. Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, SP, Brazil;6. Center of Research and Development, Duy Tan University, K7/25 Quang Trung, Danang, Viet Nam;7. Center for Theoretical and Computational Physics, College of Education, Hue University, 34 Le Loi Street, Hue City, Viet Nam;8. VNUHCM-University of Science, Viet Nam;9. Saint Joseph University, Beyrouth, Lebanon;1. Department of Radiation Oncology and Radiotherapy, University Hospital Heidelberg, Germany;2. Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany;3. Clinical Cooperation Unit Radiation Therapy, German Cancer Research Center (DKFZ), Heidelberg, Germany;4. Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, Germany;5. Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany;1. ERSN/LMR, University Abdelmalek Essaadi, Faculty of Sciences, Tetouan, Morocco;2. National University of Malaysia, Putrajaya, Selangor, Malaysia
Abstract:Purposeto elucidate the effects of multiple scattering and energy-loss straggling on electron beams slowing down in materials.MethodsEGSnrc Monte Carlo simulations are done using a purpose-written user-code.ResultsPlots are presented of the primary electron’s energy as a function of pathlength for 20 MeV electrons incident on water and tantalum as are plots of the overall distribution of pathlengths as the 20 MeV electrons slow down under various Monte Carlo scenarios in water and tantalum. The distributions range from 1 % to 135 % of the CSDA range in water and from 1 % to 186 % in tantalum. The effects of energy-loss straggling on energy spectra at depth and electron fluence at depth are also presented.ConclusionsThe role of energy-loss straggling and multiple scattering are shown to play a significant role in the range straggling which determines the dose fall-off region in electron beam dose vs depth curves and a significant role in the energy distributions as a function of depth.
Keywords:Monte Carlo  Energy-loss straggling  Electron transport  CSDA  Pathlength
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