Abstract
As temperature changes constantly in nuclear reactor operation, on-the-fly Doppler broadening methods are commonly adopted for generating nuclear cross sections at various temperatures in neutron transport simulation. Among the existing methods, the widely used SIGMA1 approach is inefficient because it involves error function and Taylor series expansion. In this paper, we present a new on-the-fly Doppler broadening with optimal double-exponential formula based on SuperMC to improve efficiency with given accuracy. In this method, double-exponential formula in 1/16 steps is used for broadening cross section at low energy, with both accuracy and efficiency. Meanwhile, the Gauss–Hermite quadrature of different orders is used for broadening cross section at resonance energy. The method can generate neutron cross section rapidly and precisely at the desired temperature. Typical nuclide cross sections and benchmarking tests are presented in detail.
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The authors would like to show their great appreciation to other members of the FDS Team for supports to this research.
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This work was supported by the Strategic Priority Science and Technology Program of the Chinese Academy of Sciences (No. XDA03040000), the Innovation Foundation of the Chinese Academy of Sciences (No. CXJJ-16Q231), the National Natural Science Foundation of China (NSFC) (Nos. 11305205, 11305203, 11405204 and 11605233), the National Magnetic Confinement Fusion Science Program of China (No. 2014GB112001), the Special Program for Informatization of the Chinese Academy of Sciences (No. XXH12504-1-09), the Anhui Provincial Special project for High Technology Industry, the Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences, the Industrialization Fund, the Open Funds of Engineering Research Center of Nuclear Technology Application of Ministry of Education (No. HJSJYB2011-11) and Jiang Xi young science foundation project (No.GJJ150558).
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Chen, R., Hao, LJ., Wu, B. et al. On-the-fly Doppler broadening method based on optimal double-exponential formula. NUCL SCI TECH 28, 166 (2017). https://doi.org/10.1007/s41365-017-0318-4
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DOI: https://doi.org/10.1007/s41365-017-0318-4