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@unpublished{miloichikova:rupac2021-mopsa38, author = {I.A. Miloichikova and A.A. Bulavskaya and Yu.M. Cherepennikov and A.A. Grigorieva and S. Stuchebrov}, title = {{Geant4 Based Numerical Model of Accelerator for Simulation of High Energy Therapeutic Electron Beam Parameters}}, % booktitle = {RuPAC'21}, eventtitle = {Russ. Part. Accel. Conf. (RuPAC'21)}, eventdate = {2021-09-27/2021-10-01}, language = {english}, intype = {presented at}, series = {Russian Particle Accelerator Conference}, number = {27}, venue = {Alushta, Crimea}, note = {presented at RuPAC'21 in Alushta, Crimea, unpublished}, abstract = {{The main aim of radiotherapy is to destroy malignant cells by ionizing radiation with minimal impact on healthy tissues. A number of studies aims to development of personalized methods for the radiation field formation. One of the possible approach is 3D printing of individually shaped compensators. To choose geometrical parameters of these samples numerical simulations is demand. Monte Carlo simulations for calculation of absorbed dose is based on fundamental physical principles of particles interaction with a propagation medium. This approach allows precision simulating of electron beam propagation in radiotherapy tasks. Practical application of Monte Carlo method requires numerical model for predicting dose distribution in the absorbers based on experimental data. The most suitable parameters for this purpose is the depth dose distributions measured in water phantom along electron beam’s central axis for energies corresponding to particular clinical accelerator. The dose distribution’s curve shape is caused by energy spectrum of the electron beam which influenced by many experimental parameters, e.g. beam injection system geometry. Therefore, the aim of this study is to develop numerical model of clinical linear accelerator¿s electron beam accounting ejection system parameters for assessment of depth dose distribution and transverse profiles in water phantom.}}, }