EPJ Web Conf.
Volume 153, 2017ICRS-13 & RPSD-2016, 13th International Conference on Radiation Shielding & 19th Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society - 2016
|Number of page(s)||6|
|Section||1. Nuclear Data, Radiation Detection, Measurements & Dosimetry|
|Published online||25 September 2017|
VRF (“Visual RobFit”) — nuclear spectral analysis with non-linear full-spectrum nuclide shape fitting
1 Snakedance Scientific, LLC, 13509 Quaking Aspen Place NE, Albuquerque, NM 87111, USA
2 Radiation Safety Engineering, Inc, 3245 North Washington Street, Chandler, AZ 85225, USA
* Corresponding author: George.Lasche@alum.mit.edu
Published online: 25 September 2017
A new application (known as “VRF”, or “Visual RobFit”) for analysis of high-resolution gamma-ray spectra has been developed using non-linear fitting techniques to fit full-spectrum nuclide shapes. In contrast to conventional methods based on the results of an initial peak-search, the VRF analysis method forms, at each of many automated iterations, a spectrum-wide shape for each nuclide and, also at each iteration, it adjusts the activities of each nuclide, as well as user-enabled parameters of energy calibration, attenuation by up to three intervening or self-absorbing materials, peak width as a function of energy, full-energy peak efficiency, and coincidence summing until no better fit to the data can be obtained. This approach, which employs a new and significantly advanced underlying fitting engine especially adapted to nuclear spectra, allows identification of minor peaks that are masked by larger, overlapping peaks that would not otherwise be possible. The application and method are briefly described and two examples are presented.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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