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Title: Development of an ideal observer that incorporates nuisance parameters and processes list-mode data

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. We evaluated observer model performance and then presented using the area under the receiver operating characteristic curve. Lastly, we studied the ideal observer 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.
 [1] ;  [2] ;  [3] ;  [3] ;  [3]
  1. Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences; Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 1084-7529; JOAOD6; 619016
Grant/Contract Number:
AC04-94AL85000; SAND2016-0849J
Accepted Manuscript
Journal Name:
Journal of the Optical Society of America. A, Optics, Image Science, and Vision
Additional Journal Information:
Journal Volume: 33; Journal Issue: 4; Journal ID: ISSN 1084-7529
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
Country of Publication:
United States