Work

Optimization of PGNAA Detector Shielding by Combining Monte Carlo Simulation with an Optimization Algorithm

Year: 2026

Type: preprint

Abstract: Detector shielding is essential in prompt gamma neutron activation analysis (PGNAA) systems to attenuate neutrons reaching the detector and suppress gamma-ray background. A Monte Carlo simulation coupled with an optimization algorithm was used to optimize the detector shielding and detector-to-sample distance. Among 35 evaluated candidates, 8 cm Pb and 5 cm BPE at 33 cm yielded the highest simulated SNR of 0.209. Experiments with the same shield also gave the highest SNR of 0.157 at 33 cm, 185.5% higher than at 25 cm. The agreement between simulation and experiment demonstrates the effectiveness of the method.

Source: Research Square

DOI: 10.21203/rs.3.rs-11482424/v1

Authors: Chenmin Xiao, Yumeng Cui, JiCheng Li, Yiying Li, ZiYang Gong, Jiajun Chen, Hongtao Wang, Can Cheng, Wenbao Jia

Institutions: Nanjing University of Aeronautics and Astronautics, Nanjing Tech University

Language: English

Topic: Nuclear Physics and Applications

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225651597

Cites: 24

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