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Development of DynamicMC for PHITS Monte Carlo package

Hiroshi Watabe, Tatsuhiko Sato, Kwan Ngok Yu, Milena Zivkovic, Dragana Krstic, Dragoslav Nikezic, Kyeong Min Kim, Taiga Yamaya, Naoki Kawachi, Hiroki Tanaka, A.K.F. Haque, M. Rafiqul Islam, Mehrdad Shahmohammadi Beni*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Previously, we have developed DynamicMC for modeling relative movement of Oak Ridge National Laboratory phantom in a radiation field for the Monte Carlo N-Particle package (Health Physics. 2023,124(4):301–309). Using this software, three-dimensional dose distributions in a phantom irradiated by a certain mono-energetic (Mono E) source can be deduced through its graphical user interface. In this study, we extended DynamicMC to be used in combination with the Particle and Heavy Ion Transport code System (PHITS) by providing it with a higher flexibility for dynamic movement for an anthropomorphic phantom. For this purpose, we implemented four new functions into the software, which are (1) to generate not only Mono E sources but also those having an energy spectrum of an arbitrary radioisotope (2) to calculate the absorbed doses for several radiologically important organs (3) to automatically average the calculated absorbed doses along the path of the phantom and (4) to generate user-defined slab shielding materials. The first and third items utilize the PHITS-specific modalities named radioisotope-source and sumtally functions, respectively. The computational cost and complexity can be dramatically reduced with these features. We anticipate that the present work and the developed open-source tools will be in the interest of nuclear radiation physics community for research and teaching purposes. © The Author(s) 2023. Published by Oxford University Press. All rights reserved.
Original languageEnglish
Pages (from-to)130-142
JournalRadiation Protection Dosimetry
Volume200
Issue number2
Online published13 Nov 2023
DOIs
Publication statusPublished - Feb 2024

Funding

The present work was supported by the Japan Society for the Promotion of Science KAKENHI grant numbers 20H03615, 21F21103, JPJSBP120218804, 23H03774 and 23K07087, as well as CityU grant numbers 9220124 and 9229151 and by the Ministry of Science, Technological development and Innovation of the Republic of Serbia No 451-03-47/2023-01/200122.

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