Radiation Detector

Radiation detectors are instruments designed to identify and measure ionizing radiation, with applications ranging from medical imaging and environmental monitoring to high-energy physics. Current research emphasizes improving detector performance and data analysis through advanced machine learning techniques, particularly deep learning architectures like convolutional neural networks (CNNs) and transformers, as well as boosted decision trees, to enhance signal processing, background rejection, and feature extraction from detector signals. These advancements are crucial for improving the accuracy, speed, and efficiency of radiation detection across diverse fields, leading to better diagnostics, safer environments, and more precise scientific measurements.