Free-moving Quantitative Gamma-ray Imaging
Abstract The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radiological accidents or threats as well as the enforcement and verification of international nuclear non-prolifera...
Main Authors: | Daniel Hellfeld, Mark S. Bandstra, Jayson R. Vavrek, Donald L. Gunter, Joseph C. Curtis, Marco Salathe, Ryan Pavlovsky, Victor Negut, Paul J. Barton, Joshua W. Cates, Brian J. Quiter, Reynold J. Cooper, Kai Vetter, Tenzing H. Y. Joshi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-10-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-99588-z |
Similar Items
-
Neural Network Approaches for Mobile Spectroscopic Gamma-Ray Source Detection
by: Kyle J. Bilton, et al.
Published: (2021-05-01) -
Advances in Nuclear Radiation Sensing: Enabling 3-D Gamma-Ray Vision
by: Kai Vetter, et al.
Published: (2019-06-01) -
Explaining machine-learning models for gamma-ray detection and identification.
by: Mark S Bandstra, et al.
Published: (2023-01-01) -
Explaining machine-learning models for gamma-ray detection and identification
by: Mark S. Bandstra, et al.
Published: (2023-01-01) -
Determining urban material activities with a vehicle-based multi-sensor system
by: M. Salathe, et al.
Published: (2021-04-01)