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International Collegiate Research Review
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Natural SciencesSystematic review

Radiation Detection Methods: Principles, Applications, Limitations and Emerging AI Technologies

Riyad Alipashali1

1 Brno University of Technology, Faculty of Electrical Engineering and Communication

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Abstract

Radiation detection plays a critical role in various fields, including nuclear power, medical imaging, environmental monitoring, and national security. This literature review examines the different methods employed for radiation detection, highlighting their principles, advantages, limitations, and recent advancements. The review covers ionization chambers, scintillation detectors, semiconductor detectors. Additionally, it explores the integration of machine learning and artificial intelligence techniques in radiation detection. By providing a comprehensive overview of radiation detecting methods, this review aims to contribute to the understanding and advancement of radiation detection technologies

Keywords: Radiation detection, Ionization chambers, Scintillation detectors, Semiconductor detectors, Machine learning, Artificial intelligence

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The full text is published in Volume 1, Issue 1, pages 101 to 116. It opens in the issue PDF, free to read and to keep.

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