Nonnegative constraint quadratic program technique to enhance the resolution of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml34" display="inline" overflow="scroll" altimg="si34.gif"><mml:mi>γ</mml:mi></mml:math> spectra

Li, Jinglun; Xiao, Wuyun; Ai, Xianyun; Chen, Ye

doi:10.1016/j.nima.2018.01.022

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…However, well-known disadvantages of such physics-based peak shape models include the fact that they are not presented in a closed functional form, are rather complicated and cannot account for the field-increment effect (Vaccaro et al, 2001). Thirdly, in recent years mathematical techniques for resolution enhancement have shown to be a powerful tool when applied to low-resolution detectors (Li et al, 2018). We believe that application of such mathematical resolution enhancement techniques could not only facilitate use of poor quality spectra for information extraction but also be a useful approach for peak deconvolution in complex spectra measured on CZT detectors, such as those of plutonium.…”

Section: Deriving the Net Peak Areas And Assessing Counting Statisticmentioning

confidence: 99%

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

Meleshenkovskii

Pauly

Labeau

2019

Applied Radiation and Isotopes

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Section: Deriving the Net Peak Areas And Assessing Counting Statisticmentioning

confidence: 99%

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

Meleshenkovskii

Pauly

Labeau

2019

Applied Radiation and Isotopes

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“…Some deconvolution methods based on regularized sparse reconstruction [11] and L 0 penalty [12] have been proposed and validated to recover pileup pulses. For the energy spectrum, deconvolution methods based on constrained optimization have achieved a high-resolution boost [13,14] and may represent a complementary approach to the above pulse throughput enhancing method to compensate for resolution deterioration. With the rapid development of computing power and complex model equation-solving methods and algorithms, some works have used artificial intelligence methods [15][16][17][18] to restore pileup pulses.…”

Section: Introductionmentioning

confidence: 99%

An Ultra-Throughput Boost Method for Gamma-Ray Spectrometers

Li,

Zhou,

Zhang

et al. 2024

Energies

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(1) Background: Generally, in nuclear medicine and nuclear power plants, energy spectrum measurements and radioactive nuclide identification are required for evaluation of strong radiation fields to ensure nuclear safety and security; thereby, damage is prevented to nuclear facilities caused by natural disasters or the criminal smuggling of nuclear materials. High count rates can lead to signal accumulation, negatively affecting the performance of gamma spectrometers, and in severe cases, even damaging the detectors. Higher pulse throughput with better energy resolution is the ultimate goal of a gamma-ray spectrometer. Traditionally, pileup pulses, which cause dead time and affect throughput, are rejected to maintain good energy resolution. (2) Method: In this paper, an ultra-throughput boost (UTB) off-line processing method was used to improve the throughput and reduce the pileup effect of the spectrometer. Firstly, by fitting the impulse signal of the detector, the response matrix was built by the functional model of a dual exponential tail convolved with the Gaussian kernel; then, a quadratic programming method based on a non-negative least squares (NNLS) algorithm was adopted to solve the constrained optimization problem for the inversion. (3) Results: Both the simulated and experimental results of the UTB method show that most of the impulses in the pulse sequence from the scintillator detector were restored to δ-like pulses, and the throughput of the UTB method for the NaI(Tl) spectrometer reached 207 kcps with a resolution of 7.71% @661.7 keV. A reduction was also seen in the high energy pileup phenomenon. (4) Conclusions: We conclude that the UTB method can restore individual and piled-up pulses to δ-like sequences, effectively boosting pulse throughput and suppressing high-energy tailing and sum peaks caused by the pileup effect at the cost of a slight loss in energy resolution.

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Applications of the non-negative least-squares deconvolution method to analyze energy-dispersive x-ray fluorescence spectra

Ai¹,

Wang²,

Xiao³

et al. 2023

Appl. Opt.

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We used the Monte Carlo simulation method to establish a detector response matrix and the non-negative least-squares method to deconvolute x-ray spectra. The simulation and experimental data verified the effectiveness of this method, and the influence of full-width at the half of the maximum calibration accuracy on the deconvolution results was investigated. The non-negative least-squares method had high accuracy and efficiency compared with others. The results showed that, except for Zn, the relative errors between the inversion and the standard values were less than 0.1% for the simulated spectra. For the experimental data, the relative errors were within 0.2%. The peaks with similar characteristic energies can be better distinguished in the deconvolution spectra, reducing the errors caused by overlapping peaks in subsequent analysis.

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Nonnegative constraint quadratic program technique to enhance the resolution of γ spectra

Cited by 3 publications

References 28 publications

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

An Ultra-Throughput Boost Method for Gamma-Ray Spectrometers

Applications of the non-negative least-squares deconvolution method to analyze energy-dispersive x-ray fluorescence spectra

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Nonnegative constraint quadratic program technique to enhance the resolution of γ spectra

Cited by 3 publications

References 28 publications

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

An Ultra-Throughput Boost Method for Gamma-Ray Spectrometers

Applications of the non-negative least-squares deconvolution method to analyze energy-dispersive x-ray fluorescence spectra

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Product

Resources

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Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations

Determination of the uranium enrichment without calibration standards using a 500 mm3 CdZnTe room temperature detector with a hybrid methodology based on peak ratios method and Monte Carlo counting efficiency simulations