6 papers
Surrogate distributed radiological sources III: quantitative distributed source reconstructions
Jayson R. Vavrek, Jaewon Lee, Marco Salathe +4
In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources…
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…
Full Spectrum Modeling of In Situ Gamma-ray Detector Measurements with a Focus on Precipitation-Induced Transients
Mark S. Bandstra, James M. Ghawaly, Douglas E. Peplow +9
Gamma-ray detectors that are deployed outdoors experience increased event rates during precipitation due to the attendant increase in Rn-222 progeny at ground level. The increased…
Data-driven performance optimization of gamma spectrometers with many channels
Jayson R. Vavrek, Hannah S. Parrilla, Gabriel Aversano +3
In gamma spectrometers with variable spectroscopic performance across many channels (e.g., many pixels or voxels), a tradeoff exists between including data from successively worse-…
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…