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Title: Gamma-Ray Simulated Spectrum Deconvolution of a LaBr₃ 1-in. x 1-in. Scintillator for Nondestructive ATR Fuel Burnup On-Site Predictions

Journal Article · · Nuclear Technology
DOI:https://doi.org/10.13182/NT14-4· OSTI ID:1178058
 [1];  [2];  [3]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States). Center for Space Nuclear Research
  2. Univ. of Utah, Salt Lake City, UT (United States). Dept. of Chemical Engineering, Utah Nuclear Engineering Program
  3. Idaho National Lab. (INL), Idaho Falls, ID (United States). Reactor Physics Analysis and Design

A deconvolution method for a LaBr₃ 1"x1" detector for nondestructive Advanced Test Reactor (ATR) fuel burnup applications was developed. The method consisted of obtaining the detector response function, applying a deconvolution algorithm to 1”x1” LaBr₃ simulated, data along with evaluating the effects that deconvolution have on nondestructively determining ATR fuel burnup. The simulated response function of the detector was obtained using MCNPX as well with experimental data. The Maximum-Likelihood Expectation Maximization (MLEM) deconvolution algorithm was selected to enhance one-isotope source-simulated and fuel- simulated spectra. The final evaluation of the study consisted of measuring the performance of the fuel burnup calibration curve for the convoluted and deconvoluted cases. The methodology was developed in order to help design a reliable, high resolution, rugged and robust detection system for the ATR fuel canal capable of collecting high performance data for model validation, along with a system that can calculate burnup and using experimental scintillator detector data.

Research Organization:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1178058
Report Number(s):
INL/JOU-13-30955
Journal Information:
Nuclear Technology, Vol. 190, Issue 2; ISSN 0029-5450
Publisher:
American Nuclear Society (ANS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science