Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (5): 71 doi: 10.1007/s41365-017-0218-7

• NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH • Previous Articles     Next Articles

An algorithm for Monte Carlo simulation of bremsstrahlung emission by electrons

Muhammad Abdul Wasaye1,2,3, Hui Wang1,2, Peng He1,2*   

  1. 1 Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China
    2 Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215006, China
    3 School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China
  • Supported by:

    Supported by the National Natural Science Foundation of China (No. 81101132 and 11305203), the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDA03040000) and the Natural Science Foundation of Anhui Province of China (No. 1508085QH180).

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Muhammad Abdul Wasaye, Hui Wang, Peng He. An algorithm for Monte Carlo simulation of bremsstrahlung emission by electrons.Nuclear Science and Techniques, 2017, 28(5): 71     doi: 10.1007/s41365-017-0218-7

Abstract:

An algorithm for Monte Carlo simulation of bremsstrahlung emission by electrons based on the framework of SuperMCis presented in this paper with efficient and
accurate methods to sample the angular distribution and energy of bremsstrahlung photons. The photon energy is sampled according to scaled energy-loss differential cross sections tabulated by Seltzer and Berger. A novel hybrid model for photon angular distribution by low- and high-energy incident electrons is developed. The model uses Tsai’s full form of angular distribution function with atomic form factors for high-energy incident electrons. For electrons of
< 500 keV, a simple efficient and accurate analytical distribution function is developed, using adjustable parameters determined from the fitting of numerical values of the shape functions tabulated by Kissel et al. The efficiency of sampling photon energy is 80%. Our angular sampling algorithm for high-energy electron bremsstrahlung based on Tsai distribution function is very efficient (sampling efficiency ∽70%) in the useful photon energy range.

Key words: Bremsstrahlung, Monte Carlo, SuperMC, Differential cross section, Angular distribution