0000000000274139

AUTHOR

J. Egea

Neutron detection and γ-ray suppression using artificial neural networks with the liquid scintillators BC-501A and BC-537

Abstract 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, neu…

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Monte Carlo simulation of a single detector unit for the neutron detector array NEDA

WOS: 000301813500009

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Digital pulse-timing technique for the neutron detector array NEDA

WOS: 000348040900011

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AGATA-Advanced GAmma Tracking Array

WOS: 000300864200005

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