- 标题
- 摘要
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- 实验方案
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-rays in liquid scintillation detectors by using low sampling frequency ADCs
摘要： It is well known that the digital pulse-shape discrimination (PSD) of fast neutrons and γ-rays in liquid scintillation detectors can be adversely affected by the low sampling frequency of the analog-to-digital converter (ADC). Previous studies have recommended that using an ADC with a sampling frequency of above 250 MHz is necessary to achieve a PSD performance comparable to that of the analog PSD systems. In the present study, we show that, in principle, a sampling frequency of above 32 MHz is sufficient to fully preserve the pulse-shape information of liquid scintillation detectors, though at such sampling frequencies a significant degradation of the PSD performance may arise from the used PSD algorithm. To avoid this problem, a new PSD algorithm in the frequency domain is presented and its excellent performance at low sampling frequencies is experimentally demonstrated. At the sampling frequency of 32 MHz, a Figure-of-Merit (FOM) of 1.31±0.04 in the light output range of 200-1400 keVee (electron equivalent energy) is achieved with an ADC of 10-bit resolution.
关键词： Digital Pulse-Shape Discrimination,Sampling Frequency,Analog-to-Digital Converter
更新于2025-09-10 09:29:36
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-ray suppression using artificial neural networks with the liquid scintillators BC-501A and BC-537
摘要： In this work we present a comparison between the two liquid scintillators BC-501A and BC-537 in terms of their performance regarding the pulse-shape discrimination between neutrons and γ rays. Special emphasis is put on the application of artificial neural networks. The results show a systematically higher γ-ray rejection ratio for BC-501A compared to BC-537 applying the commonly used charge comparison method. Using the artificial neural network approach the discrimination quality was improved to more than 95% rejection efficiency of γ rays over the energy range 150 to 1000 keV for both BC-501A and BC-537. However, due to the larger light output of BC-501A compared to BC-537, neutrons could be identified in BC-501A using artificial neural networks down to a recoil proton energy of 800 keV compared to a recoil deuteron energy of 1200 keV for BC-537. We conclude that using artificial neural networks it is possible to obtain the same γ-ray rejection quality from both BC-501A and BC-537 for neutrons above a low-energy threshold. This threshold is, however, lower for BC-501A, which is important for nuclear structure spectroscopy experiments of rare reaction channels where low-energy interactions dominates.
关键词： fast-neutron detection,BC-537,digital pulse-shape discrimination,liquid scintillator,BC-501A,neural networks
更新于2025-09-10 09:29:36