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Updated: Dec 24, 2025
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Published on: February 17, 2018
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Study on a peak shape fitting model for the analysis of alpha-particle spectra
1Department of Mathematics and Physics, University of Campania "Luigi Vanvitelli", Viale Lincoln 5, 81100, Caserta, Italy; National Institute for Nuclear Physics (INFN), Branch of Naples, via Cinthia 21, 80126, Napoli, Italy; Department of Dosimetry and Application of Ionizing Radiation, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, 11519, Prague, Czech Republic.
Summary
This study presents an automated model for analyzing alpha-particle spectra. The model accurately fits alpha peaks and handles complex data, including overlapping peaks and background noise.
Area of Science:
- Nuclear Physics and Instrumentation
- Spectroscopy Analysis
Background:
- Accurate analysis of alpha-particle spectra is crucial for nuclear detection systems.
- Existing methods may struggle with complex spectral features like peak overlap and low statistics.
Purpose of the Study:
- To develop a detailed and automatic model for analyzing alpha-particle spectra.
- To improve the fitting of alpha peaks and account for background noise and low-count data.
Main Methods:
- Utilized a Gaussian function for the right side of alpha peaks.
- Employed a sum of two Gaussian functions for the left tail of alpha peaks.
- Incorporated analysis of the entire spectrum background, overlapped peaks, and low-statistic peaks.
Main Results:
- The developed model provides detailed and automatic analysis of alpha-particle spectra.
- Successfully fitted typical alpha peak shapes, including complex tails.
- Demonstrated effectiveness in handling overlapped peaks, background noise, and low-count statistics.
Conclusions:
- The proposed model offers a robust solution for automated alpha-particle spectral analysis.
- The model's effectiveness is validated through comprehensive testing.
- Enhances the capability of nuclear detection systems in spectral data interpretation.
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