Development of an ideal observer that incorporates nuisance parameters and processes list-mode data
Abstract
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.
- Authors:
-
- 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)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- OSTI Identifier:
- 1249070
- Alternate Identifier(s):
- OSTI ID: 1242434
- Report Number(s):
- SAND2016-0849J
Journal ID: ISSN 1084-7529; JOAOD6; 619016
- Grant/Contract Number:
- AC04-94AL85000; SAND2016-0849J
- Resource Type:
- Journal Article: 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
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 61 RADIATION PROTECTION AND DOSIMETRY
Citation Formats
MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., and Johnson, William C. Development of an ideal observer that incorporates nuisance parameters and processes list-mode data. United States: N. p., 2016.
Web. doi:10.1364/JOSAA.33.000689.
MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., & Johnson, William C. Development of an ideal observer that incorporates nuisance parameters and processes list-mode data. United States. https://doi.org/10.1364/JOSAA.33.000689
MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., and Johnson, William C. 2016.
"Development of an ideal observer that incorporates nuisance parameters and processes list-mode data". United States. https://doi.org/10.1364/JOSAA.33.000689. https://www.osti.gov/servlets/purl/1249070.
@article{osti_1249070,
title = {Development of an ideal observer that incorporates nuisance parameters and processes list-mode data},
author = {MacGahan, Christopher Jonathan and Kupinski, Matthew Alan and Hilton, Nathan R. and Brubaker, Erik M. and Johnson, William C.},
abstractNote = {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.},
doi = {10.1364/JOSAA.33.000689},
url = {https://www.osti.gov/biblio/1249070},
journal = {Journal of the Optical Society of America. A, Optics, Image Science, and Vision},
issn = {1084-7529},
number = 4,
volume = 33,
place = {United States},
year = {Mon Feb 01 00:00:00 EST 2016},
month = {Mon Feb 01 00:00:00 EST 2016}
}
Web of Science
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Works referencing / citing this record:
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