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Title: RASE OSS

Abstract

The Replicative Assessment of Spectroscopic Equipment (RASE) methodology is a semi-empirical approach to generating synthetic gamma-ray spectra for injection into a radionuclide identification algorithm of a vendor-provided detection system. RASE facilitates studies of the spectroscopic device performance and a quantitative assessment of its capabilities to correctly distinguish and identify isotopes of interest in realistic scenarios.

Developers:
 [1];  [1];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Release Date:
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
MIT License
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)

Primary Award/Contract Number:
AC52-07NA27344
Code ID:
21966
Site Accession Number:
LLNL-CODE-750919
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Country of Origin:
United States

Citation Formats

Sangiorgio, Samuele, Mozin, Vladimir, Kosinovski, Greg, Chavez, Joseph, and USDOE National Nuclear Security Administration. RASE OSS. Computer software. https://www.osti.gov//servlets/purl/1487335. USDOE National Nuclear Security Administration (NNSA). 30 Dec. 2017. Web. doi:10.11578/dc.20181218.10.
Sangiorgio, Samuele, Mozin, Vladimir, Kosinovski, Greg, Chavez, Joseph, & USDOE National Nuclear Security Administration. (2017, December 30). RASE OSS [Computer software]. https://www.osti.gov//servlets/purl/1487335. doi:10.11578/dc.20181218.10.
Sangiorgio, Samuele, Mozin, Vladimir, Kosinovski, Greg, Chavez, Joseph, and USDOE National Nuclear Security Administration. RASE OSS. Computer software. December 30, 2017. https://www.osti.gov//servlets/purl/1487335. doi:10.11578/dc.20181218.10.
@misc{osti_1487335,
title = {RASE OSS},
author = {Sangiorgio, Samuele and Mozin, Vladimir and Kosinovski, Greg and Chavez, Joseph and USDOE National Nuclear Security Administration},
abstractNote = {The Replicative Assessment of Spectroscopic Equipment (RASE) methodology is a semi-empirical approach to generating synthetic gamma-ray spectra for injection into a radionuclide identification algorithm of a vendor-provided detection system. RASE facilitates studies of the spectroscopic device performance and a quantitative assessment of its capabilities to correctly distinguish and identify isotopes of interest in realistic scenarios.},
url = {https://www.osti.gov//servlets/purl/1487335},
doi = {10.11578/dc.20181218.10},
year = {2017},
month = {12},
note =
}

Software:
Publicly Accessible Repository
https://github.com/LLNL/RASE

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