Feasibility and Demonstration of a Cloud-Based RIID Analysis System (Annual Report)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
A significant limitation in the operational utility of handheld and backpack radioisotope identifiers (RIIDs) is the ability of their onboard algorithms to accurately and reliably identify the isotopic sources of the measured gamma-ray energy spectrum and thereby separate threat from benign or background sources. Improved algorithms exist but are not implemented on RIIDs due to insufficient computational power or classification, export controls, or other sensitivities. They also have limited ability to use additional contextual information in making a threat no-threat assessment. A possible solution is to move the spectral analysis computations to an external device whose capabilities can be greatly enhanced and whose algorithms can be kept secure. A Cloud-based analysis system can provide this capability. Cloud computing is becoming ubiquitous and affords the national security community an opportunity for tremendous leverage of private sector developments. The goal of this project is to determine if operational performance of RIIDs can be improved by applying these developments in a way that meets the needs of the national security community.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1096325
- Report Number(s):
- ORNL/TM--2013/468; NN2001000; NNPORES
- Country of Publication:
- United States
- Language:
- English
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