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A Real-Time Energy Response Correction Method for Cs3Cu2I5:Tl Scintillating Dosimeter.
Li, Jiaming; Zhang, Leilei; Wang, Jiaqi; Su, Hengyi; Wang, Zungang; Li, Zhiyuan.
Afiliação
  • Li J; State Key Laboratory of NBC Protection for Civilians, Academy of Military Science, Beijing 102205, China.
  • Zhang L; Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Wang J; State Key Laboratory of NBC Protection for Civilians, Academy of Military Science, Beijing 102205, China.
  • Su H; State Key Laboratory of NBC Protection for Civilians, Academy of Military Science, Beijing 102205, China.
  • Wang Z; State Key Laboratory of NBC Protection for Civilians, Academy of Military Science, Beijing 102205, China.
  • Li Z; State Key Laboratory of NBC Protection for Civilians, Academy of Military Science, Beijing 102205, China.
Sensors (Basel) ; 23(21)2023 Nov 02.
Article em En | MEDLINE | ID: mdl-37960611
ABSTRACT
The uneven energy response of radiation detectors severely limits the accuracy of the dose rate meter used for radiation protection. Currently widely used in dose rate meters as a physical method of setting shielding compensation, the energy response correction error of the detector at different energies is mostly between 15 and 25%. This work designs a real-time correction method for energy response based on a novel Cs3Cu2I5Tl scintillation detector to improve the accuracy of the dose rate meter used for radiation protection. The technique utilizes the idea of pulse amplitude weighting (PAW) to segment the pulse amplitude histogram. This detector achieves an almost constant energy response after our correction. The experimental results show that compared to 137Cs γ rays, the maximum error of the response is 8.26% in the photon energy ranging from 33 keV to 1.25 MeV, which is much better than ±30% of the recommended IEC 615262010, verifying the feasibility of PAW.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article