5 papers
Automatic calibration of gamma-ray detectors deployed in uncontrolled environments
Marco Salathe, Nicolas Abgrall, Mark S. Bandstra +3
Radiation detectors deployed as part of a large urban network or for homeland security monitoring must maintain reliable energy calibration even when subjected to substantial varia…
Curation and Dissemination of Complex Multi-modal Data Sets for Radiation Detection, Localization, and Tracking
Nicolas Abgrall, Mark S. Bandstra, Reynold J. Cooper +5
The PANDAWN sensor network in Chicago, IL, is a state-of-the-art test-bed for networked, multi-modal sensing. It integrates AI/data science methods into its operation, from data ac…
Characterization of precipitation-induced radon progeny deposition events using a city-scale sensor network
Snehadri Das, Nicolas Abgrall, Mark Bandstra +5
Networks of radiation detectors provide a platform for real-time radioactive source detection and identification in urban environments. Detection algorithms in these systems must a…
Real-time, Adaptive Radiological Anomaly Detection and Isotope Identification Using Non-negative Matrix Factorization
Chandler Jones, Mark Bandstra, Stefan Faaland +4
Spectroscopic anomaly detection and isotope identification algorithms are integral components in nuclear nonproliferation applications such as search operations. The task is especi…
Simulations of Sparse Static Detector Networks for City-Scale Radiological/Nuclear Detection
E. Rofors, N. Abgrall, M. S. Bandstra +6
Sparse static detector networks in urban environments can be used in efforts to detect illicit radioactive sources, such as stolen nuclear material or radioactive "dirty bombs". We…