Numerical simulation of Gamma-Induced background current in cobalt Self-Powered neutron detectors

Cobalt self-powered neutron detectors (SPNDs) are widely used in pressurized water reactor (PWR) protection systems because of their prompt response characteristics. However, in-core cobalt SPNDs are exposed to intense gamma radiation that generates interfering currents, compromising the accuracy of neutron flux measurements. This paper presents a high-fidelity Monte Carlo (MC) simulation method that uses a two-step reactor–detector coupling strategy to evaluate the gamma-induced background current in cobalt SPNDs. The strategy first obtains the neutron and gamma energy spectra at the detector location from a detailed MC model of a typical PWR core, and then uses these spectra as the source term for a fine-scale SPND model with the insulator divided into 50 radial layers. The contributions of positrons and electrons are explicitly distinguished, and the space charge effect is incorporated into the electron transport calculation. Applied to two prototype cobalt SPNDs (ZTCo121 and ZTCo122), the method yields gamma-induced background current fractions of 2.56% and 4.19% of the total signal, both of which are below 5%. The resulting impact on detector sensitivity remains within the acceptable engineering uncertainty. Results validated against irradiation experiments performed in a swimming-pool reactor confirm that neglecting gamma interference in initial sensitivity calibration is justifiable. The method is general and extendable to other prompt-response SPNDs.

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Publication Details

Journal
Annals of Nuclear Energy
Published
2026-10-17
DOI
https://doi.org/10.1016/j.anucene.2026.112952
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
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article

Numerical simulation of Gamma-Induced background current in cobalt Self-Powered neutron detectors

蒋洁琼, Xiong Wu, Jiasi Yu, Zhiqiang Cui et al.
Annals of Nuclear Energy
Radiation Detection and Scintillator Technologies
article

Numerical simulation of Gamma-Induced background current in cobalt Self-Powered neutron detectors

蒋洁琼, Xiong Wu, Jiasi Yu, Zhiqiang Cui, Zhihong Liu, Xiangju Zhang, Li Cai
article en

Abstract

Cobalt self-powered neutron detectors (SPNDs) are widely used in pressurized water reactor (PWR) protection systems because of their prompt response characteristics. However, in-core cobalt SPNDs are exposed to intense gamma radiation that generates interfering currents, compromising the accuracy of neutron flux measurements. This paper presents a high-fidelity Monte Carlo (MC) simulation method that uses a two-step reactor–detector coupling strategy to evaluate the gamma-induced background current in cobalt SPNDs. The strategy first obtains the neutron and gamma energy spectra at the detector location from a detailed MC model of a typical PWR core, and then uses these spectra as the source term for a fine-scale SPND model with the insulator divided into 50 radial layers. The contributions of positrons and electrons are explicitly distinguished, and the space charge effect is incorporated into the electron transport calculation. Applied to two prototype cobalt SPNDs (ZTCo121 and ZTCo122), the method yields gamma-induced background current fractions of 2.56% and 4.19% of the total signal, both of which are below 5%. The resulting impact on detector sensitivity remains within the acceptable engineering uncertainty. Results validated against irradiation experiments performed in a swimming-pool reactor confirm that neglecting gamma interference in initial sensitivity calibration is justifiable. The method is general and extendable to other prompt-response SPNDs.

Annals of Nuclear EnergyVol. 242
Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Hefei Institutes of Physical Science (CN), ShanghaiTech University (CN), China Nuclear Power Technology Research Institute (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Radiation Detection and Scintillator Technologies
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