MCNP simulation and optimization of count rate and signal-to-noise ratio in gamma-induced positron annihilation spectroscopy based on ¹⁵⁷Gd(n,γ)¹⁵⁸Gd reaction
ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS|更新时间:2025-12-15
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MCNP simulation and optimization of count rate and signal-to-noise ratio in gamma-induced positron annihilation spectroscopy based on ¹⁵⁷Gd(n,γ)¹⁵⁸Gd reaction
“In the field of material defect characterization, researchers have proposed a new technology based on the 157Gd (n, γ) 158Gd reaction, which effectively improves the performance of spectrometers and provides a new path for defect detection of aircraft engine blades.”
JIANG Xuefeng, female, born in 1994, graduated from China Institute of Atomic Energy with a master's degree in 2025, doctoral student, focusing on nuclear technology and applications
YANG Ming, E-mail: yangming_91@126.com
LI Wei, E-mail: liwei@163.com
基金信息:
Technology-Fundamental Research Project(JSJL2023610A001)
JIANG Xuefeng,LIU Ying,YAN Ku,et al.MCNP simulation and optimization of count rate and signal-to-noise ratio in gamma-induced positron annihilation spectroscopy based on ¹⁵⁷Gd(n,γ)¹⁵⁸Gd reaction[J].NUCLEAR TECHNIQUES,2025,48(12):120203-120203.
JIANG Xuefeng,LIU Ying,YAN Ku,et al.MCNP simulation and optimization of count rate and signal-to-noise ratio in gamma-induced positron annihilation spectroscopy based on ¹⁵⁷Gd(n,γ)¹⁵⁸Gd reaction[J].NUCLEAR TECHNIQUES,2025,48(12):120203-120203. DOI: 10.3724/j.0253-3219.2025.hjs.48.240465. CSTR: 32193.14.hjs.CN31-1342/TL.2025.48.240465.
MCNP simulation and optimization of count rate and signal-to-noise ratio in gamma-induced positron annihilation spectroscopy based on ¹⁵⁷Gd(n,γ)¹⁵⁸Gd reaction
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