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Title: Radio-nuclide mixture identification using medium energy resolution detectors

Patent ·
OSTI ID:1093371

According to one embodiment, a method for identifying radio-nuclides includes receiving spectral data, extracting a feature set from the spectral data comparable to a plurality of templates in a template library, and using a branch and bound method to determine a probable template match based on the feature set and templates in the template library. In another embodiment, a device for identifying unknown radio-nuclides includes a processor, a multi-channel analyzer, and a memory operatively coupled to the processor, the memory having computer readable code stored thereon. The computer readable code is configured, when executed by the processor, to receive spectral data, to extract a feature set from the spectral data comparable to a plurality of templates in a template library, and to use a branch and bound method to determine a probable template match based on the feature set and templates in the template library.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-07NA27344
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA)
Patent Number(s):
8,538,728
Application Number:
12/770,215
OSTI ID:
1093371
Country of Publication:
United States
Language:
English

References (4)

The 2002 IAEA intercomparison of software for low-level γ-ray spectrometry
  • Arnold, Dirk; Blaauw, Menno; Fazinic, Stjepko
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 536, Issue 1-2 https://doi.org/10.1016/j.nima.2004.10.012
journal January 2005
Automated calculation of photon source emission from arbitrary mixtures of naturally radioactive heavy nuclides journal December 1990
Simulation of Template Spectra for Scintillator Based Radionuclide Identification Devices Using GEANT4 conference October 2006
Radio-Isotope Identification Algorithms for NaI γ Spectra journal March 2009

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