Application of spectrum shifting methodology to restore NaI(Tl)-recorded gamma spectra, shifted due to temperature variations in the environment

Mitra, Pratip; Roy, Arup Singha; Verma, Amit Kumar; Pant, Amar D.; Prakasha, M.S.; Anilkumar, S.; Kumar, Ajay

doi:10.1016/j.apradiso.2015.10.002

Cited by 22 publications

(6 citation statements)

References 16 publications

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“…When the K peak position P k corresponding to any temperature T k is corrected to the K peak position 􏽢 P k corresponding to the standard temperature T s , the total correction amount ∆P total , which can be positive or negative, needs to be subtracted, as shown in equation (21). Te similar correction formulas for characteristic peaks of U and T are shown in equations (22) corresponding to a single characteristic peak correction (∆P i can be ∆P K , ∆P U , and ∆P Th ) needs to be calculated frst, which has been described in Chapter 2.2.…”

Section: Temperature-caused Peak-shift Correction Algorithmmentioning

confidence: 99%

“…Using this method, the theoretical deposition energy spectrum (i.e., the corrected spectrum) can be derived from the corresponding measured spectrum without any mathematical approximation [20]. Mitra et al proposed another method based on the assumption that the spectrum obtained at measurement temperature represents the same statistical distribution as that at reference temperature but with different energy scales [21]. Rezaei Moghaddam et al suggested a "waiting time" before long-time measurements to avoid the channel shifting efects, which fnally improved the detector's resolution [22].…”

Section: Introductionmentioning

confidence: 99%

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

Zhai

Lai

et al. 2023

Journal of Spectroscopy

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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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Section: Temperature-caused Peak-shift Correction Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhai

Lai

et al. 2023

Journal of Spectroscopy

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“…The scintillation detector is one of the world's oldest radiation detectors for ambient radiation monitoring [1]. Scintillation detectors such as Thallium-activated Sodium Iodide scintillation detectors [NaI (Tl)] are used to monitor radiation levels in an open environment [2].…”

Section: Introductionmentioning

confidence: 99%

Radioactive source strength effect on gamma radiation monitoring with a NaI (Tl) scintillation detector

et al. 2022

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The accurate monitoring of gamma radiation doses in the environment has become essential due to its effect on human health. In this study, the temperature dependence of NaI (Tl) scintillation detectors based on the daily/annually measured dose rate in the environment as well as the importance of selecting the appropriate radioactive source strength when calibrating NaI (Tl) detectors for gamma radiation monitoring were investigated. The temperature correction coefficients discovered during the calibration of the BDKG-03 detector by Atomtex were verified, and whether the time duration of the measurement interval has an effect on readings of gamma radiation was also investigated in the city of Tomsk. NaI (Tl) scintillation detectors were used to monitor the gamma background radiation in the environment. The detectors were calibrated with both high and low radioactive sources to obtain a temperature correction coefficient in order to stabilize the influence of temperature change on the detector at different time intervals. This was used to study the correlation between the daily and annual dose rates of low gamma background radiation. The results showed that there was a shift in the spectrum of the daily and annual dose rates calculated using the algorithm obtained when the detector was calibrated with a highly radioactive source to the position of the constant coefficient for low-level dose. However, the ones obtained when the detector was calibrated with a low radioactive source and that of the constant coefficient for a low-level dose overlapped each other. This demonstrated that the type of radioactive source used in detector calibration during manufacture has an effect on the temperature correction coefficient, which in turn has an effect on the accuracy of the ambient dose rate when used to monitor gamma radiation. The duration of the time interval for measurement was found to be very important since it has an effect on dose rate readings.

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“…Besides the low resolution, the temperature effect is one of the major drawbacks of NaI(Tl) based systems, or for that matter, of all scintillation spectrometers [7]. This effect is derived from the complex temperature dependence of the system [8,9] including temperature dependence of the scintillator's light output [7] and decay time constants [10], the photomultiplier tube's temperature drift [11] and the associated electronic components' temperature behaviour [5]. The most significant contribution of the temperature effect coming from the photomultiplier tube is too difficult to handle [12], so the spectrum processing methods would be the most beneficial way to correct the temperature effect.…”

Section: Introductionmentioning

confidence: 99%

“…All of correction methods are related to restoring a shifted spectrum recorded under different temperatures to the position of a reference spectrum which allows the restored spectrum to be processed together with the reference spectrum [13], hence eliminating the effect of the change of temperature between their measurements [5,6,9]. The essential condition for spectrum converting methods is the linearity of the overall system that allows to perform linear operations.…”

Section: Introductionmentioning

confidence: 99%

Temperature Dependence of NaI(Tl) Radiation Scintillation Detectors’ Characteristics

Csurgai

Padányi

Földi

2020

AiMT

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Scintillators belong to the oldest types of radiation detectors. Nowadays, for spectrometric purposes the use of semiconductive detectors is more common, but scintillation detectors are still in use for various specific measurement purposes. We have investigated the dependence of a gamma spectrum measured by NaI(Tl) scintillation detector on temperature changes. We examined the need of energy or efficiency recalibration and software compensation. Due to temperature dependence, scintillation detectors require energy recalibration before environmental and outdoor measurements or before the use of etalon sources for obtaining spectrum for follow-up calibration. We have elaborated on a simple method for energy recalibration of scintillation detectors at different temperatures. This method was converted into an algorithm and it can be either burned into instrument EPROM or used in software processing.

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Application of spectrum shifting methodology to restore NaI(Tl)-recorded gamma spectra, shifted due to temperature variations in the environment

Cited by 22 publications

References 16 publications

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

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

Radioactive source strength effect on gamma radiation monitoring with a NaI (Tl) scintillation detector

Temperature Dependence of NaI(Tl) Radiation Scintillation Detectors’ Characteristics

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