Gamma-Ray Incident Dose Detection Method Using Commercial-off-the-shelf (COTS) Image Sensors
This study conducted <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">60</sup>Co gamma-ray irradiation experiments on commercial-off-the-shelf (COTS) image sensors, analyzing the quantitative relationship between dark current amplitude distribution characteristics and incident dose. A dark current distribution model was established, and a novel incident dose prediction method based on statistical feature fitting was proposed. Experimental results demonstrate that the prediction errors remain within 15%.
Authors
- Rui Xu (ORCID: https://orcid.org/0000-0003-4361-1971)
- Xiaomin Wei (ORCID: https://orcid.org/0000-0002-7709-8945)
- Ran Zheng (ORCID: https://orcid.org/0000-0002-6510-6709)
- Jia Wang (ORCID: https://orcid.org/0000-0002-9035-4747)
- Ruiguang Zhao (ORCID: https://orcid.org/0000-0002-2866-2722)
- Feifei Xue
- Yongcai Hu
Institutions
- Northwestern Polytechnical University (CN)
- Northwestern Polytechnic University (US)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1109/iciea65512.2025.11149064
- Primary Topic
- Radiation Detection and Scintillator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00