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The n-γ discrimination method for over-range waveforms in digitizer.

Cui Yaoxuan1, Gao Zhichao1, Ma Fei2

  • 1Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China; University of Chinese Academy of Sciences, School of Nuclear Science and Technology, Beijing, China.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|August 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Pulse Shape Discrimination (PSD) method to accurately differentiate neutron and gamma signals within over-range waveforms. The technique effectively separates neutron signals from gamma signals, enhancing data processing reliability in digitizers.

Keywords:
DigitizerOver-range waveformsPulse shape discriminationn-γ discrimination

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Area of Science:

  • Nuclear Instrumentation and Measurement
  • Radiation Detection and Spectroscopy
  • Signal Processing in Physics

Background:

  • Neutron-gamma discrimination is crucial in various applications, including nuclear physics research and radiation detection.
  • Over-range waveforms in digitizers pose significant challenges to traditional Pulse Shape Discrimination (PSD) techniques.
  • Existing methods struggle to effectively separate neutron and gamma signals when waveforms exceed the digitizer's dynamic range.

Purpose of the Study:

  • To develop and validate an innovative PSD method for neutron-gamma discrimination in over-range waveforms.
  • To investigate the impact of over-range waveforms on PSD spectrum quality and discrimination performance.
  • To provide a robust solution for accurate signal processing in digitizers dealing with high-energy radiation events.

Main Methods:

  • Acquisition of signal waveforms from a Californium-252 (252Cf) neutron source using a DT5751 digitizer and EJ-301 detector.
  • Classification of over-range waveforms based on the number of mesa points.
  • Precise setting of long and short gate positions at the end of the mesa region for enhanced discrimination.

Main Results:

  • The proposed method successfully classified over-range waveforms, revealing distinct differences between neutron and gamma signals in the PSD spectra.
  • Effective separation of over-range neutron signals from gamma signals was achieved.
  • The technique demonstrated significant improvements in n-γ discrimination capabilities for challenging waveform data.

Conclusions:

  • The developed PSD method offers an efficient and reliable approach for neutron-gamma discrimination in over-range waveforms.
  • This technique enhances the data processing capabilities of digitizers in environments with mixed radiation fields.
  • The findings contribute to advancing radiation detection and measurement technologies.