Radiation detection remains at the core of nuclear proliferation detection, safeguards, nuclear forensics, diagnostics, verification and monitoring, dismantlement, and emergency response. Our proposed research spans the full range of areas necessary for the development of radiation detection systems: detection concepts, materials, signal readout and processing, and the integration of all hardware and software components into systems. Multi-modality fusion allows us now to see the nuclear world in three dimensions and in real time; machine learning algorithms will provide unprecedented means to use information to segment and track objects in complex scenes, predict radiological backgrounds, estimate relevant physical quantities and their uncertainties, and visualize scenes and objects with the embedded and quantifiable radiological information via advanced concepts in computer vision.
- Focus Area Lead : Kai Vetter, University of California, Berkeley
- Focus Area Co-Lead : Jason Hayward, University of Tennessee, Knoxville