Imaging Cherenkov Detector

Imaging Cherenkov detectors leverage the Cherenkov effect to visualize particle trajectories or biological structures, primarily aiming for improved particle identification in high-energy physics and precise radiotherapy treatment delivery. Current research emphasizes the application of deep learning, particularly convolutional neural networks like ResNets and novel architectures such as Swin Transformers and normalizing flows, to accelerate image processing, enhance feature segmentation (e.g., blood vessels in radiotherapy), and improve the accuracy of particle reconstruction. These advancements are significantly impacting both fundamental physics experiments and medical applications by enabling real-time monitoring and more precise data analysis.