An Operational Shielding Algorithm System (SAS) Software for the Analysis of Gamma Ray Spectra


  1. Moats, K.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN);Zernam Enterprises Inc., Ottawa ON (CAN)
The objective of the Special Nuclear Material (SNM) detection work being conducted at Defence Research and Development Canada (DRDC) is to develop technologies that improve the ability of the Canadian Armed Forces (CAF) to detect, quantify, and determine the threat level of SNM. The Shielding Algorithm System (SAS) software, developed at the DRDC Ottawa Research Centre, is one such tool that uses an improved analysis of gamma ray spectra from radiological sources or SNM to determine the quantity and threat level of the material. The SAS C++ software calculates the shielding factor for several combinations of shielding materials, including self-shielding effects, using a chi-squared minimization routine based on the Minuit code. The software has been tested for several spectra involving multiple isotopes and as a result of this testing, several improvements to the SAS software were implemented in this work. Major changes to the user interface have greatly improved the speed at which the user can input the data from their spectrum, which allows a greater number of peaks to be included more easily in the analysis. An automated background sub-traction algorithm was implemented to estimate the expected background from a spectrum without requiring the user to take a separate background measurement. These changes are expected to improve the reliability and accuracy of the software. Users from DRDC Suffield have tested the program for usability, found issues, and these have been addr

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Radiation;Radiation Detection;CBRN (chemical biological radiological nuclear);Nuclear;Radiological and Nuclear Detection;Radiological/Nuclear Risk and Hazard Assessment;Spectroscopy;Gamma Ray;Radiological Quantification
Report Number
DRDC-RDDC-2018-C094 — Contract Report
Date of publication
01 May 2018
Number of Pages
Electronic Document(PDF)

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