Labeling strategy to improve neutron/gamma discrimination with organic scintillator
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Organic scintillators are widely used for neutron/gamma detection. Pulse shape discrimination algorithms have been commonly used to discriminate the detected radiations. These algorithms have several limits, in particular with plastic scintillator which has lower discrimination ability, compared to liquid scintillator. Recently, machine learning (ML) models have been explored to enhance discrimination performance. Nevertheless, obtaining an accurate ML model or evaluating any discrimination approach requires a reference neutron dataset. The preparation of this is challenging because neutron sources are also gamma-ray emitters. Therefore, this paper proposes a pipeline to prepare clean labeled neutron/gamma datasets acquired by an organic scintillator. The method is mainly based on a Time of Flight setup and Tail-to-Total integral ratio (𝑇 𝑇 𝑇𝑟𝑎𝑡𝑖𝑜) discrimination algorithm. In the presented case, EJ276 plastic scintillator and 252Cf source were used to implement the acquisition chain. The results showed that this process can identify and remove mislabeled samples in the entire ToF spectrum, including those that contribute to peak values. Furthermore, the process cleans ToF dataset from pile-up events, which can significantly impact experimental results and the conclusions extracted from them
Abstract
Organic scintillators are widely used for neutron/gamma detection. Pulse shape discrimination algorithms have been commonly used to discriminate the detected radiations. These algorithms have several limits, in particular with plastic scintillator which has lower discrimination ability, compared to liquid scintillator. Recently, machine learning (ML) models have been explored to enhance discrimination performance. Nevertheless, obtaining an accurate ML model or evaluating any discrimination approach requires a reference neutron dataset. The preparation of this is challenging because neutron sources are also gamma-ray emitters. Therefore, this paper proposes a pipeline to prepare clean labeled neutron/gamma datasets acquired by an organic scintillator. The method is mainly based on a Time of Flight setup and Tail-to-Total integral ratio (𝑇 𝑇 𝑇𝑟𝑎𝑡𝑖𝑜) discrimination algorithm. In the presented case, EJ276 plastic scintillator and 252Cf source were used to implement the acquisition chain. The results showed that this process can identify and remove mislabeled samples in the entire ToF spectrum, including those that contribute to peak values. Furthermore, the process cleans ToF dataset from pile-up events, which can significantly impact experimental results and the conclusions extracted from them
참고문헌 (14)
- B. D’Mellow, "Digital discrimination of neutrons and 𝛾-rays in liquid scintillators using pulse gradient analysis", Nucl. Instrum. Methods Phys. Res. A, 578(1), pp.191~197 (2007)
- J. Adams, "A versatile pulse shape discriminator for charged particle separation and its application to fast neutron time-of-flight spectroscopy", Nucl. Instrum. Methods, 156(3), pp.459~476 (1978)
- S. Marrone, "Pulse shape analysis of liquid scintillators for neutron studies", Nucl. Instrum. Methods Phys. Res. A, 490(1–2), pp.299~307 (2002)
- F. Brooks, "Development of organic scintillators", Nucl. Instrum. Methods, 162(1–3), pp.477~505 (1979)
- T. Laplace, "Comparative scintillation performance of EJ-309, EJ-276, and a novel organic glass", J. Instrum, 15(11), pp.P11020~ (2020)
- M. Grodzicka-Kobylka, "Fast neutron and gamma ray pulse shape discrimination in EJ-276 and EJ-276G plastic scintillators", J. Instrum, 15(03), pp.P03030~ (2020)
- F. Ferrulli, "Characterization of stilbene and EJ-276 scintillators coupled with a large area SiPM array for a fast neutron dose rate detector", Nucl. Instrum. Methods Phys. Res. A, 1010, pp.165566~ (2021)
- M. Grodzicka-Kobylka, "Fast neutron and gamma ray pulse shape discrimination in EJ-276 and EJ-276G plastic scintillators", J. Instrum, 15(03), pp.P03030~ (2020)
- G.F. Knoll, "Radiation Detection and Measurement" (2010), John Wiley & Sons
- "PSD Plastic scintilator EJ-276 and EJ-276g" (2022)[URL]
- Hanane Arahmane, "Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods", Journal of Spectroscopy, 2019, pp.1~9 (2019), Hindawi Limited[DOI]
- L. M. Simms, "Pulse discrimination with a Gaussian mixture model on an FPGA", Nucl. Instrum. Methods Phys. Res. A, 900, pp.1~7 (2018)
- C. Fu, "Artificial neural network algorithms for pulse shape discrimination and recovery of piled-up pulses in organic scintillators", Ann. Nucl. Energy, 120, pp.410~421 (2018)
- Xunzhen Yu, "Neutron–gamma discrimination based on the support vector machine method", Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 777, pp.80~84 (2015), Elsevier BV[DOI]