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Neutron Tomography of Spent Fuel Casks

Journal Article · · Journal of Signal Processing Systems

Not provided.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility (ALCF)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC02-06CH11357
OSTI ID:
1981498
Journal Information:
Journal of Signal Processing Systems, Vol. 94, Issue 4; ISSN 1939-8018
Publisher:
Springer
Country of Publication:
United States
Language:
English

References (11)

High energy neutron transmission analysis of dry cask storage December 2017
Summary Report: INL CDCIS Cask Scanner Testing at April 2013
Cosmic ray muon computed tomography of spent nuclear fuel in dry storage casks January 2017
Verification of Spent Nuclear Fuel in Sealed Dry Storage Casks via Measurements of Cosmic-Ray Muon Scattering April 2018
Verification of dry storage cask loading using monoenergetic photon sources March 2020
A simulation study of the spent nuclear fuel cask condition evaluation using high energy X-ray computed tomography June 2016
Geant4—a simulation toolkit July 2003
Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study January 2021
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems January 2009
The use of neural networks for approximation of nuclear data December 2015
Artificial neural network algorithms for pulse shape discrimination and recovery of piled-up pulses in organic scintillators October 2018