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Observer models were developed to process data in list-mode format in orderto perform binary discrimination tasks for use in an arms-control-treatycontext. Data used in this study was generated using GEANT4 Monte Carlosimulations for photons using custom models of plutonium inspection objects anda radiation imaging system. Observer model performance was evaluated andpresented using the area under the receiver operating characteristic curve. Theideal observer was studied under both signal-known-exactly conditions and inthe presence of unknowns such as object orientation and absolute count-ratevariability; when these additional sources of randomness were present, theirincorporation into the observer yielded superior performance.

Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data