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Published on: July 27, 2018
Sparsity-based pulse-processor for digital α-particle spectroscopy with Si-PIN-Diode detector.
Saleh Ashrafi1, Hadi Kasani1, Nima Ghal-Eh2
1Faculty of Physics, University of Tabriz, P.O. Box 51666-16471, Tabriz, Iran.
A new digital spectrometer uses a sparsity-based filter for nuclear detection, improving alpha particle energy resolution. This method offers advantages for high-resolution measurements with low-cost digitizers.
Area of Science:
- Nuclear Instrumentation
- Digital Signal Processing
- Radiation Detection
Background:
- Digital methods are increasingly preferred over conventional signal processing in nuclear detection instruments.
- Accurate pulse shaping is crucial for digital signal analysis, analogous to analog pulse-height analysis.
Purpose of the Study:
- To design and construct a digital alpha-particle spectrometer compatible with low-cost digitizers.
- To introduce and evaluate a digital sparsity-based pulse processor for shaping charge signals from alpha particle detection.
Main Methods:
- Utilized a silicon PIN-diode detector to measure charge pulses induced by alpha particles.
- Designed and fabricated a charge-sensitive pre-amplifier for digitizer coupling.
- Employed a digital sparsity-based pulse processor for signal shaping after digitization at a low sampling rate.
- Performed off-line analysis using a digital oscilloscope and LabVIEW software to store detector pulses.
- Obtained the pulse-height spectrum using a digital multi-channel analyzer block.
Main Results:
- The sparsity-based filter demonstrated advantages in high-resolution measurements.
- Achieved an energy resolution of 12.3% for 4.78 MeV alpha particles from a Ra-226 source.
- Compared favorably against conventional filters in performance evaluation.
Conclusions:
- The developed digital sparsity-based pulse processor is effective for high-resolution alpha particle spectroscopy.
- The designed spectrometer system offers a viable, low-cost solution for nuclear detection applications.
- Sparsity-based filtering shows significant potential for enhancing digital signal processing in nuclear instrumentation.
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