Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Feasibility and Demonstration of a Cloud-Based RIID Analysis System (Annual Report)

Technical Report ·
DOI:https://doi.org/10.2172/1096325· OSTI ID:1096325
 [1];  [2];  [1];  [1];  [2];  [2];  [2]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  2. 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

Similar Records

Feasibility and Demonstration of a Cloud-Based RIID Analysis System
Conference · Tue Dec 31 23:00:00 EST 2013 · OSTI ID:1185579

Gamma Spectroscopy Detector Candidates and Radioisotope Identification Algorithms for Use in National Security Applications
Technical Report · Wed Sep 01 00:00:00 EDT 2021 · OSTI ID:1821317

U.S. Government Capabilities to Support Analysis of Gamma Ray Data Submitted by Field Elements
Conference · Thu Jul 07 00:00:00 EDT 2005 · OSTI ID:875652

Related Subjects