A pulse-shape discrimination method for improving Gamma-ray spectrometry based on a new digital shaping filter
Autor: | Chuan Chen, Liangquan Ge, Xing-hong Xie, Jun-song Luo, Zhang-jian Qin, Qi-fan Wu |
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Rok vydání: | 2018 |
Předmět: |
Physics
Radiation business.industry Detector Mexican hat wavelet Filter (signal processing) 01 natural sciences Noise (electronics) 030218 nuclear medicine & medical imaging Pulse (physics) Maxima and minima 03 medical and health sciences 0302 clinical medicine Optics Amplitude 0103 physical sciences 010306 general physics business Energy (signal processing) |
Zdroj: | Radiation Physics and Chemistry. 145:193-201 |
ISSN: | 0969-806X |
DOI: | 10.1016/j.radphyschem.2017.10.023 |
Popis: | It is a usual practice for improving spectrum quality by the mean of designing a good shaping filter to improve signal-noise ratio in development of nuclear spectroscopy. Another method is proposed in the paper based on discriminating pulse-shape and discarding the bad pulse whose shape is distorted as a result of abnormal noise, unusual ballistic deficit or bad pulse pile-up. An Exponentially Decaying Pulse (EDP) generated in nuclear particle detectors can be transformed into a Mexican Hat Wavelet Pulse (MHWP) and the derivation process of the transform is given. After the transform is performed, the baseline drift is removed in the new MHWP. Moreover, the MHWP-shape can be discriminated with the three parameters: the time difference between the two minima of the MHWP, and the two ratios which are from the amplitude of the two minima respectively divided by the amplitude of the maximum in the MHWP. A new type of nuclear spectroscopy was implemented based on the new digital shaping filter and the Gamma-ray spectra were acquired with a variety of pulse-shape discrimination levels. It had manifested that the energy resolution and the peak-Compton ratio were both improved after the pulse-shape discrimination method was used. |
Databáze: | OpenAIRE |
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