Benchmark Algorithm for RadioNuclide Identification v1.0

Software · Mon Dec 16 00:00:00 EST 2019

DOI:https://doi.org/10.11578/dc.20200508.2· OSTI ID:1617841 · Code ID:35790

NELSON, KARL E. ^[1]; MONTERIAL, MATEUSZ ^[1]

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1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Benchmark Algorithm for Radio-Nuclide Identification (BARNI) is an automatic radionuclide identification tool for use with gamma-ray spectra. BARNI is designed to serve as a comparative tool for commercial vendor algorithms, such as those found in RadioIsotope Identification Devices (RIID). The tool incorporates an automated training routine allowing BARNI's classifier to be trained for a variety of detectors. The identification algorithm uses a peak search, the results of which are used to build features that are subsequently used for training a classifier. The user provided spectral templates allow BARNI to be trained for any detector of the user's choice. Is

• Short Name / Acronym: BARNI
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: LLNL-CODE-805904
• Software Type: Scientific
• Version: 1
• License(s): MIT License
• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)

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  Primary Award/Contract Number:

  AC52-07NA27344
• DOE Contract Number: AC52-07NA27344
• Code ID: 35790
• OSTI ID: 1617841
• Country of Origin: United States