Development of an ideal observer that incorporates nuisance parameters and processes list-mode data
- Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences; Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
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.
- Research Organization:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- Grant/Contract Number:
- AC04-94AL85000; SAND2016-0849J
- OSTI ID:
- 1249070
- Alternate ID(s):
- OSTI ID: 1242434
- Report Number(s):
- SAND2016-0849J; JOAOD6; 619016
- Journal Information:
- Journal of the Optical Society of America. A, Optics, Image Science, and Vision, Vol. 33, Issue 4; ISSN 1084-7529
- Country of Publication:
- United States
- Language:
- English
Web of Science
Generating randomness: making the most out of disordering a false order into a real one
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