FSAIsotopeID analyzes gamma ray spectra to identify radioactive isotopes (radionuclides). The algorithm fits the entire spectrum with combinations of pre-computed templates for a comprehensive set of radionuclides with varying thicknesses and compositions of shielding materials. The isotope identification algorithm is suitable for the analysis of spectra collected by gamma-ray sensors ranging from medium-resolution detectors, such a NaI, to high-resolution detectors, such as HPGe. In addition to analyzing static measurements, the isotope identification algorithm is applied for the radiation search applications. The search subroutine maintains a running background spectrum that is passed to the isotope identification algorithm, and it also selects temporal integration periods that optimize the responsiveness and sensitivity. Gain stabilization is supported for both types of applications.
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Mitchell, Dean J., Harding, Lee, Thoreson, Gregory G., & Horne, Steven M. (2017, June 28). Full-Spectrum-Analysis Isotope ID (Version 00) [Computer software].
Mitchell, Dean J., Harding, Lee, Thoreson, Gregory G., and Horne, Steven M. Full-Spectrum-Analysis Isotope ID.
Computer software. Version 00. June 28, 2017.
@misc{osti_1369638,
title = {Full-Spectrum-Analysis Isotope ID, Version 00},
author = {Mitchell, Dean J. and Harding, Lee and Thoreson, Gregory G. and Horne, Steven M.},
abstractNote = {FSAIsotopeID analyzes gamma ray spectra to identify radioactive isotopes (radionuclides). The algorithm fits the entire spectrum with combinations of pre-computed templates for a comprehensive set of radionuclides with varying thicknesses and compositions of shielding materials. The isotope identification algorithm is suitable for the analysis of spectra collected by gamma-ray sensors ranging from medium-resolution detectors, such a NaI, to high-resolution detectors, such as HPGe. In addition to analyzing static measurements, the isotope identification algorithm is applied for the radiation search applications. The search subroutine maintains a running background spectrum that is passed to the isotope identification algorithm, and it also selects temporal integration periods that optimize the responsiveness and sensitivity. Gain stabilization is supported for both types of applications.},
doi = {},
url = {https://www.osti.gov/biblio/1369638},
year = {Wed Jun 28 00:00:00 EDT 2017},
month = {Wed Jun 28 00:00:00 EDT 2017},
note =
}
