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Development of a novel analytical method for calculating the dose equivalent rate as a case study of fields which obey the inverse square law

Moshkbar Bakhshayesh, K ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1088/1748-0221/14/09/T09004
  3. Publisher: Institute of Physics Publishing , 2019
  4. Abstract:
  5. The field of any point source which is broadened equally in all directions without any limitation to its range is within category of the inverse square law (ISL). As a case study, the dose equivalent (DE) rate is calculated. For calculating the DE rate, the radiation source can be divided into multiple layers and each layer is fractionated to multiple rectangular surfaces. Each rectangular surface can be replaced with three types of sectors. The DE rate of a source on a target is then sum of DE rates of sectors. The developed method is independent of the target position relative to the source and is used for the dose calculation of any arbitrary arrangement of source and target. As an examples, the DE rate is calculated for the square/rectangular gamma emitter sources in comparison with MCNP code and numerical method. Results show very good agreement. Noticeable advantages are: (1) The developed method performs a very quick calculation (i.e. more than 105 times faster) while Monte Carlo techniques usually take time to obtain adequate statistics on small regions (2) The developed method calculates the DE rate more than 100 times faster than numerical method (3) Usually the trained person calculates the dose with Monte Carlo codes while analytical calculation does not need the trained one. The proposed analytical method is basis of software package for the DE calculation of complex surfaces which is under development. © 2019 IOP Publishing Ltd and Sissa Medialab
  6. Keywords:
  7. Dosimetry concepts and apparatus ; Models and simulations ; Inverse problems ; Numerical methods ; Analytical calculation ; Analytical method ; Dose calculation ; Inverse square law ; Monte Carlo codes ; Monte Carlo techniques ; Radiation source ; Rectangular surfaces ; Monte Carlo methods
  8. Source: Journal of Instrumentation ; Volume 14, Issue 9 , 2019 ; 17480221 (ISSN)
  9. URL: https://iopscience.iop.org/article/10.1088/1748-0221/14/09/T09004