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A scheme for decomposing overlapping peak based on the adaptive convolution method and enhanced northern goshawk

Hexi Wu1, Sizhi Li2, Rui Qiu3

  • 1School of Nuclear Science and Engineering, East China University of Technology, Nanchang, 330013, China; Department of Engineering Physics, Tsinghua University, Beijing, 100084, China.

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PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive convolution (AC) and enhanced northern goshawk optimization (ENGO) method for precise analysis of overlapping peaks in sodium iodide (NaI(Tl)) gamma-ray spectrometry. The novel approach accurately decomposes complex spectra, improving radioactivity measurements.

Keywords:
Adaptive convolution methodDecomposing overlapping peakENGO algorithmGamma-ray energy spectrometer

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Area of Science:

  • Nuclear Physics
  • Spectroscopy
  • Analytical Chemistry

Background:

  • Sodium iodide (NaI(Tl)) spectrometers are crucial for radioactivity measurements.
  • Limited spectral resolution leads to overlapping peaks, hindering accurate analysis.
  • Existing methods struggle with background noise and peak overlap.

Purpose of the Study:

  • To develop a robust method for accurate decomposition of overlapping peaks in NaI(Tl) gamma-ray spectra.
  • To enhance spectral analysis by suppressing background interference and improving noise resistance.
  • To achieve high precision in peak parameter and area determination.

Main Methods:

  • A novel scheme combining adaptive convolution (AC) and enhanced northern goshawk optimization (ENGO).
  • AC method for background suppression and noise reduction while preserving overlapping peak information.
  • ENGO algorithm utilizing SPM chaotic mapping, Lévy flight, and nonlinear step-size for high-dimensional optimization.

Main Results:

  • The proposed scheme achieved high accuracy in decomposing overlapping peaks across numerical, Monte Carlo, and IAEA simulated spectra.
  • Relative deviations for all peak parameters and areas were within ±0.530%, ±0.573%, and ±1.173% respectively.
  • Demonstrated accurate spectral analysis without the need for background subtraction.

Conclusions:

  • The AC-ENGO scheme offers a significant advancement in NaI(Tl) gamma-ray spectral analysis.
  • This method provides precise overlapping peak decomposition, crucial for reliable radioactivity measurements.
  • The approach enhances the utility of NaI(Tl) spectrometers in complex spectral environments.