Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer

NaI(Tl) detectors are frequently operated under unstable temperature conditions when used in an open environment. Temperature changes would result in a peak shift and spectral distortion during measurement. Two easy-to-implement methodologies are proposed to stabilize the measured spectrum without t...

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Main Authors: Jinfei Wu, Juan Zhai, Wanchang Lai, Hongjian Lin, Chenhao Zeng, Runqiu Gu, Shaoqin Li, Yunrui Jiang, Jie Shi, Bo Zhang
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2023/1590667
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author Jinfei Wu
Juan Zhai
Wanchang Lai
Hongjian Lin
Chenhao Zeng
Runqiu Gu
Shaoqin Li
Yunrui Jiang
Jie Shi
Bo Zhang
author_facet Jinfei Wu
Juan Zhai
Wanchang Lai
Hongjian Lin
Chenhao Zeng
Runqiu Gu
Shaoqin Li
Yunrui Jiang
Jie Shi
Bo Zhang
author_sort Jinfei Wu
collection DOAJ
description NaI(Tl) detectors are frequently operated under unstable temperature conditions when used in an open environment. Temperature changes would result in a peak shift and spectral distortion during measurement. Two easy-to-implement methodologies are proposed to stabilize the measured spectrum without the necessity of adjusting the gain, which are a correction algorithm for temperature-caused peak-shift based on multiple characteristic peak area weighting factors and an interpolation correction algorithm based on multicharacteristic peak sequence. Both of them can be used when the relative channel displacement of characteristic peaks in the spectrum due to temperature changes is not constant. Experimental data obtained under controlled temperature conditions in the laboratory were adopted to correct a spectrum, with joint consideration of some known characteristic peaks, such as 40K, U (214Bi), or Th (208Tl) peaks. Through constructing a reversible temperature coefficient matrix, one can easily obtain the coefficients of the n-th polynomial describing the influence of temperature on peak position, which presents their nonlinear mathematical relationship. Then, corrections of these two effects can also be easily calculated. Comparing the experimental results, peak positions before and after correction, it is proved that the interpolation correction algorithm based on multicharacteristic peak sequence has better correction accuracy, but the temperature-caused peak shift correction algorithm based on the multicharacteristic peak area weighting factor has a shorter calibration time.
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spelling doaj-art-da3ad647f0ed443ea282ab2167c1e7832025-08-20T03:24:59ZengWileyJournal of Spectroscopy2314-49392023-01-01202310.1155/2023/1590667Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray SpectrometerJinfei Wu0Juan Zhai1Wanchang Lai2Hongjian Lin3Chenhao Zeng4Runqiu Gu5Shaoqin Li6Yunrui Jiang7Jie Shi8Bo Zhang9College of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringCollege of Nuclear Technology and Automation EngineeringNaI(Tl) detectors are frequently operated under unstable temperature conditions when used in an open environment. Temperature changes would result in a peak shift and spectral distortion during measurement. Two easy-to-implement methodologies are proposed to stabilize the measured spectrum without the necessity of adjusting the gain, which are a correction algorithm for temperature-caused peak-shift based on multiple characteristic peak area weighting factors and an interpolation correction algorithm based on multicharacteristic peak sequence. Both of them can be used when the relative channel displacement of characteristic peaks in the spectrum due to temperature changes is not constant. Experimental data obtained under controlled temperature conditions in the laboratory were adopted to correct a spectrum, with joint consideration of some known characteristic peaks, such as 40K, U (214Bi), or Th (208Tl) peaks. Through constructing a reversible temperature coefficient matrix, one can easily obtain the coefficients of the n-th polynomial describing the influence of temperature on peak position, which presents their nonlinear mathematical relationship. Then, corrections of these two effects can also be easily calculated. Comparing the experimental results, peak positions before and after correction, it is proved that the interpolation correction algorithm based on multicharacteristic peak sequence has better correction accuracy, but the temperature-caused peak shift correction algorithm based on the multicharacteristic peak area weighting factor has a shorter calibration time.http://dx.doi.org/10.1155/2023/1590667
spellingShingle Jinfei Wu
Juan Zhai
Wanchang Lai
Hongjian Lin
Chenhao Zeng
Runqiu Gu
Shaoqin Li
Yunrui Jiang
Jie Shi
Bo Zhang
Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
Journal of Spectroscopy
title Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
title_full Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
title_fullStr Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
title_full_unstemmed Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
title_short Nonlinear Correction Methods of Temperature-Caused Peak Shift for a NaI(Tl) Gamma-Ray Spectrometer
title_sort nonlinear correction methods of temperature caused peak shift for a nai tl gamma ray spectrometer
url http://dx.doi.org/10.1155/2023/1590667
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