High Power Laser and Particle Beams, Volume. 36, Issue 9, 096002(2024)

Development and tests of functions of proton, low-energy photon and electron transport in JMCT3.0 Monte Carlo particle transport program

Xiao Tan1... Li Deng2,*, Lingyu Zhang3, Rui Li3, Yuanguang Fu3, Dunfu Shi3, Peng Liu3 and Chao Yang1 |Show fewer author(s)
Author Affiliations
  • 1School of Nuclear Science and Technology, University of South China, Henyang 421001, China
  • 2Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • 3CAEP Softwaer Center for High Performance Numerical Simulation, Beijing 100088, China
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    The Monte Carlo code JMCT can simulate neutron/photon/electron/proton/molecule/light radiation/atmosphere transport problems in any complicated geometry system. It supports the multi-level parallelization in scale of over one hundred thousand cores. At present, JMCT has been widely applied in radiation shielding, critical safety analysis of reactor, nuclear detection and nuclear medicine etc. JMCT3.0 is a large-scale, high-fidelity, three-dimensional general multi-particle transport Monte Carlo (MC) program, and thirteen new functions and eight new algorithms have been developed based on JMCT2.0. The computing efficiency is enhanced 30%-600% by optimizing of JCOGIN infrastructure. This paper introduces the methods and new functions of proton, low-energy photon/ electron/molecule transport in JMCT3.0. The validity of algorithms has been proved by benchmarks. The new functions are mainly used for simulations of image diagnosis, flash radiography, light radiation and atmosphere transport.

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    Xiao Tan, Li Deng, Lingyu Zhang, Rui Li, Yuanguang Fu, Dunfu Shi, Peng Liu, Chao Yang. Development and tests of functions of proton, low-energy photon and electron transport in JMCT3.0 Monte Carlo particle transport program[J]. High Power Laser and Particle Beams, 2024, 36(9): 096002

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    Paper Information

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    Received: Apr. 3, 2024

    Accepted: Jul. 18, 2024

    Published Online: Oct. 15, 2024

    The Author Email: Deng Li (deng_li@iapcm.ac.cn)

    DOI:10.11884/HPLPB202436.240117

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