Development of a Nonsensitive Template for a 2D Ring vs. Square Discrimination Task
Abstract not provided.
Publications
Nuclear Imaging for Treaty Verification with Enhanced Information Security
Abstract not provided.
Linear Models for Treaty Verification Tasks
Abstract not provided.
Nuclear Imaging for Treaty Verification without an Information Barrier
Abstract not provided.
Development of a Nonsensitive Template for Treaty-Verification Tasks
Abstract not provided.
Mathematical Methods for Treaty Verification without an Information Barrier
Abstract not provided.
Development of an ideal Observer that incorporates nuisance parameters and processes list-mode data
Journal of the Optical Society of America A: Optics and Image Science, and Vision
Observer models were developed to process data in list-mode format in order to perform binary discrimination tasks for use in an arms-control-treaty context. Data used in this study was generated using GEANT4 Monte Carlo simulations for photons using custom models of plutonium inspection objects and a radiation imaging system. Observer model performance was evaluated and presented using the area under the receiver operating characteristic curve. The ideal observer was studied under both signal-known-exactly conditions and in the presence of unknowns such as object orientation and absolute count-rate variability; when these additional sources of randomness were present, their incorporation into the observer yielded superior performance.
Mathematical Methods for Treaty Verification without an Information Barrier
Abstract not provided.
A Channelized Hotelling Observer for Treaty-Verification Tasks
Abstract not provided.
Mathematical Methods for Treaty Verification without an Information Barrier
Abstract not provided.
(Intrinsic) Information Barriers for Imaging
Abstract not provided.
Treaty Verification without an Information Barrier
Abstract not provided.
Treaty Verification without an Information Barrier
Abstract not provided.
Treaty Verification without an Information Barrier
Abstract not provided.
Assessing List-Mode Observer Performance in Classification Tasks when Imaging Nuclear Test Objects
Abstract not provided.
Optimal imaging for treaty verification FY2014 annual report
FY2014 technical report of our project funded by DNN R&D that leverages advanced inference methods developed for medical and adaptive imaging to address arms control applications. We seek a method to acquire and analyze imaging data of declared treaty-accountable items without creating an image of those objects or otherwise storing or revealing any classified information. Such a method would avoid the use of classified-information barriers. We present our progress on FY2014 tasks defined in our life-cycle plan. We also describe some future work that is part of the continuation of this project in FY2015 and beyond as part of a venture that joins ours with a related PNNL project.
Schubert Review of Optimal Imaging for Treaty Verification
Abstract not provided.
17 Results