FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2-GSPS fast waveform sampling

Yang, Chenfei; Feng, C. Q.; Liu, Shubin; An, Qi

doi:10.1007/s41365-016-0173-8

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…In this section, SVM with a linear kernel function has been used as a discriminator instead of the ANN discriminator. Tables (5) to (8) show the discrimination results using the same methods with SVM.…”

Section: Svm Discriminator Resultsmentioning

confidence: 99%

“…Yang et al investigated and compared four FPGA-based digital PSD methods. The included methods are CC, Pulse Peak Analysis (PPA), PGA, and finite impulse response Filter Comparison Method (FCM) [8]. Yang et.al [9] incorporated Li into the matrix of NaI under an optimized crystal growth process for efficient neutron detection.…”

Section: I In Nt Tr Ro Od Du Uc Ct Ti Io On Nmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Hammad

Kasban

Fikry

et al. 2020

Menoufia Journal of Electronic Engineering Research

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In different neutron measurement experiments, it is necessary to apply pulse processing method to distinguish neutron pulses from gamma pulses. The discrimination process is based on the different decaying response of the detector for both neutron and gamma events. Different proposed algorithms are presented in this paper for determining the radiation type of detector output. In the proposed algorithms, features are extracted from the input radiation event. These features are extracted using charge integration, Hilbert transformation, and matched filtering methods. The extracted features are then fed the discriminator which is an Artificial Neural Network (ANN) or Support Vector Machine (SVM) discriminators. The obtained results prove that, the proposed approaches can be used efficiently for the neutron and gamma discrimination purpose and that method based on the Hilbert transformation achieves the highest discrimination rates.

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Section: Svm Discriminator Resultsmentioning

confidence: 99%

Section: I In Nt Tr Ro Od Du Uc Ct Ti Io On Nmentioning

confidence: 99%

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Hammad

Kasban

Fikry

et al. 2020

Menoufia Journal of Electronic Engineering Research

View full text Add to dashboard Cite

show abstract

“…Parallel sampling technology has witnessed rapid development over the past few decades, as indicated by various studies [1][2][3].This technique leverages interleaved sampling in either the time or frequency domain to increase the sampling rate and bandwidth. Consequently, it caters to the requirements of fields such as communication, nuclear physics experiments, and electronic measurements, which demand high-speed sampling systems [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An efficient calibration method for digital bandwidth interleaving sampling system

Ma,

Wu,

Jiang

et al. 2023

J. Inst.

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Digital bandwidth interleaving (DBI) is a technique that can simultaneously increase system sampling rate and bandwidth. While DBI can reduce the impact of clock jitter on the dynamic performance of the system compared to time-interleaved sampling systems, achieving dynamic performance comparable to time-interleaved analog-to-digital converters (TIADC) remains challenging due to phase misalignment in crossover bands caused by analog filters and nonlinearity in analog mixers. To address these issues, this paper proposes a method to calibrate DBI sampling systems using PRBS signals. This method involves injecting pseudo-random binary sequence (PRBS) signal into the system input as a background signal and calculating the correlation between the output sampling sequence and the PRBS sequence to obtain the response of each sampling channel. Compared with traditional single tone signal or pulse signal, this method offers a more efficient background calibration method. To verify the effectiveness of this method, this paper designed a hybrid parallel sampling system combining DBI and TIADC with a 20 GSPS sampling rate and 8 GHz bandwidth to evaluate the effectiveness of the calibration method. In the performance test of the sampling system before and after calibration, this calibration method improved the system's Signal-to-Noise and Distortion Ratio (SINAD) by up to 13 dB, Spurious Free Dynamic Range (SFDR) by up to 27 dB, and phase response flatness better than 0.3 radians.

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“…In recent years, PSD techniques have been used in the discrimination of αand γ-radiation [9,10]. In this work, the detection and discrimination of αand β-radiation were attempted with plastic scintillators based on PSD.…”

Section: Introductionmentioning

confidence: 99%

Detection and discrimination of α- and β-radiation with plastic scintillators based on pulse shape discrimination

Zhang

et al. 2020

J. Inst.

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A: There is a need for more convenient and effective methods for detecting and discriminating between αand β-radiation. In this work, two plastic scintillator detectors were used to detect and discriminate between αand β-radiation based on digital pulse shape discrimination (PSD). The charge comparison method (CCM) performed better than the time comparison method (TCM), and Detector A (with ZnS doping) showed better results than those of Detector B (without ZnS doping). With Detector A, the total rate of misidentification was approximately 0.25% with the appropriate discrimination parameters; with Detector B, the total rate of misidentification was approximately 1.5%. Both detectors showed improved discrimination compared with most commercial detectors. This method is a promising means for improving the effectiveness of the detection and discrimination of αand β-radiation based on PSD.

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FPGA-based α/γ pulse shape discrimination for BaF2 detector using 2-GSPS fast waveform sampling

Cited by 10 publications

References 14 publications

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

An efficient calibration method for digital bandwidth interleaving sampling system

Detection and discrimination of α- and β-radiation with plastic scintillators based on pulse shape discrimination

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