Speaker
Description
This work presents a comprehensive study on the development of a sophisticated gamma radiation detection system tailored for aerial mapping and radiation surveillance, which is to be used to generate an environmental radioactivity map within the United Arab Emirates (UAE). To optimize detection sensitivity, the project incorporates careful assembly and calibration techniques that make use of four high-resolution crystals (two Cebr3 and two LBC crystals). The use of crystals with elevated intrinsic background radiation levels (LBC) is to evaluate their suitability for the detection task. At the same time, we study how well a VETO system works to improve signal-to-noise ratio and lower background noise. Modern front-end and back-end electronics are used in the detector system to digitize the signal at the outset of signal processing. In order to facilitate thorough and effective surveys, the detector will be installed on a drone. The system will also incorporate AI-driven algorithms and real-time communication capabilities for effective data processing.
Taking these factors into account, our research and development (R&D) project seeks to improve the capabilities of airborne radiation monitoring systems by optimizing a drone-mounted gamma scintillation detector designed for mapping, surveillance, and search operations
