Abstract
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
- Developers:
-
NELSON, KARL [1] ; MONTERIAL, MATEUSZ [1]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Release Date:
- 2019-12-16
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 1
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 35790
- Site Accession Number:
- LLNL-CODE-805904
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
NELSON, KARL E., and MONTERIAL, MATEUSZ.
Benchmark Algorithm for RadioNuclide Identification v1.0.
Computer Software.
https://github.com/LLNL/barni.
USDOE National Nuclear Security Administration (NNSA).
16 Dec. 2019.
Web.
doi:10.11578/dc.20200508.2.
NELSON, KARL E., & MONTERIAL, MATEUSZ.
(2019, December 16).
Benchmark Algorithm for RadioNuclide Identification v1.0.
[Computer software].
https://github.com/LLNL/barni.
https://doi.org/10.11578/dc.20200508.2.
NELSON, KARL E., and MONTERIAL, MATEUSZ.
"Benchmark Algorithm for RadioNuclide Identification v1.0." Computer software.
December 16, 2019.
https://github.com/LLNL/barni.
https://doi.org/10.11578/dc.20200508.2.
@misc{
doecode_35790,
title = {Benchmark Algorithm for RadioNuclide Identification v1.0},
author = {NELSON, KARL E. and MONTERIAL, MATEUSZ},
abstractNote = {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},
doi = {10.11578/dc.20200508.2},
url = {https://doi.org/10.11578/dc.20200508.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20200508.2}},
year = {2019},
month = {dec}
}