Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Mark S Bandstra"'
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0286829 (2023)
As more complex predictive models are used for gamma-ray spectral analysis, methods are needed to probe and understand their predictions and behavior. Recent work has begun to bring the latest techniques from the field of Explainable Artificial Intel
Externí odkaz:
https://doaj.org/article/97fa31d5e19a4ad9a6cb2159e3e2d0bb
Autor:
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
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
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 v
Externí odkaz:
https://doaj.org/article/223ecb5a2caf4cb3b13e04018d25b2a2
Autor:
Kyle J. Bilton, Tenzing H. Y. Joshi, Mark S. Bandstra, Joseph C. Curtis, Daniel Hellfeld, Kai Vetter
Publikováno v:
Journal of Nuclear Engineering, Vol 2, Iss 2, Pp 190-206 (2021)
Artificial neural networks (ANNs) for performing spectroscopic gamma-ray source identification have been previously introduced, primarily for applications in controlled laboratory settings. To understand the utility of these methods in scenarios and
Externí odkaz:
https://doaj.org/article/6c5fc08528784365aa26d74846b0868b
Autor:
Brian Quiter, Mark S. Bandstra, Joshua W. Cates, Reynold J. Cooper, Joseph C. Curtis, Daniel Hellfeld, Tenzing H. Y. Joshi, Ryan T. Pavlovsky, Emil Rofors, Marco Salathe, Jayson R. Vavrek, Kai Vetter
Publikováno v:
Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIV.
Autor:
J. C. Curtis, K. J. Bilton, M. Salathe, Mark S. Bandstra, Brian J. Quiter, S. Goldenberg, Tenzing H. Y. Joshi
When searching for radiological sources in an urban area, a vehicle-borne detector system will often measure complex, varying backgrounds primarily from natural gamma-ray sources. Much work has been focused on developing spectral algorithms that reta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::568a63549701c37e9d7a20caad344431
http://arxiv.org/abs/2111.10463
http://arxiv.org/abs/2111.10463
Autor:
K. J. Bilton, Mark S. Bandstra, Kai Vetter, Reynold J. Cooper, Tenzing H. Y. Joshi, Brian J. Quiter, J. C. Curtis
Publikováno v:
IEEE Transactions on Nuclear Science, vol 66, iss 5
Radiological source search is a challenge involving the detection, identification, and localization of weak sources within background environments that vary both spatially and temporally. In this paper, a method for simultaneously detecting and ident
Publikováno v:
Physical Review Research. 3
The authors describe methods of estimating the naturally occurring radioactivity present in an urban environment based on a vehicle-borne measurement system comprising an array of NaI(Tl) detectors, LiDAR systems, and panoramic cameras.
Autor:
Daniel Hellfeld, Paul Barton, Mark S. Bandstra, Victor Negut, Joshua W. Cates, Ryan Pavlovsky, A. Moran, Tenzing H. Y. Joshi, Brian J. Quiter, Jayson R. Vavrek, Kathryn Meehan
Publikováno v:
IEEE Transactions on Nuclear Science, vol 68, iss 11
Using a series of detector measurements taken at different locations to localize a source of radiation is a well-studied problem. The source of radiation is sometimes constrained to a single point-like source, in which case the location of the point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::632cf4bff5f346a29f0fffb396fc9c06
https://escholarship.org/uc/item/9p38q5qm
https://escholarship.org/uc/item/9p38q5qm
Autor:
J. C. Curtis, Reynold J. Cooper, K. J. Bilton, D. Hellfeld, Matthew R. Marshall, Kai Vetter, Mark S. Bandstra, A. J. Shurley, M. Salathe, V. Negut, Tenzing H. Y. Joshi
Publikováno v:
IEEE Transactions on Nuclear Science, vol 68, iss 2
Networked detector systems can be deployed in urban environments to aid in the detection and localization of radiological and/or nuclear material. However, effectively responding to and interpreting a radiological alarm using spectroscopic data alone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f28ba01ec70edabeb9c4f7cc37d15f
https://escholarship.org/uc/item/8f57h322
https://escholarship.org/uc/item/8f57h322
Autor:
Joshua W. Cates, Kai Vetter, D. Hellfeld, M. Salathe, Victor Negut, Mark S. Bandstra, Reynold J. Cooper, Brian J. Quiter, Jayson R. Vavrek, Paul Barton, Ryan Pavlovsky, Joseph C. Curtis, Tenzing H. Y. Joshi, Donald Gunter
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific reports, vol 11, iss 1
Scientific Reports
Scientific reports, vol 11, iss 1
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 verificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298961f6d17bcfd02009defcac749a36