Using singular value decomposition for neutron-gamma discrimination

Maciej Linczuk; Stefan Korolczuk; Radosław Cieszewski

doi:10.1117/12.2204901

11 September 2015 Using singular value decomposition for neutron-gamma discrimination

Maciej Linczuk, Stefan Korolczuk, Radosław Cieszewski

Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96622G (2015) https://doi.org/10.1117/12.2204901
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland

Abstract

A Digital Signal Processing method for Neutron Gamma Discrimination [1] is described in this paper. A Singular Value Decomposition (SVD) was used for estimation noiseless signal shape. Based on this shape, detection method was introduced. This method uses projection operation into signal and noise subspace and Signal to Noise Ratio estimation. This method was compared with another one proposed by [2]. Booth method was implemented in MATLAB. Computation was done on signals from scintillators. Data acquisition was dome with high quality hardware. The Neutron Gamma Discrimination algorithm operate on digital samples from ADC converter. Hardware used for data acquisition in this this paper was described in [3]. On the end, the results of this two methods was presented and compared. The signal model in this methods assume additional, white, Gaussian noise.

Citation Download Citation

Maciej Linczuk, Stefan Korolczuk, and Radosław Cieszewski "Using singular value decomposition for neutron-gamma discrimination", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96622G (11 September 2015); https://doi.org/10.1117/12.2204901

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