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Neutron detection and gamma-ray suppression using artificial neural networks with the liquid scintillators BC-501A and BC-537
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Nuclear Physics. ELI NP, Bucharest 077125, Romania;Tech Univ Darmstadt, Inst Kernphys, D-64289 Darmstadt, Germany;GSI Helmholtzzentrum Schwerionenforsch GmbH, D-64291 Darmstadt, Germany.
Ist Nazl Fis Nucl, Lab Nazl Legnaro, I-35020 Padua, Italy;Warsaw Univ Technol, Fac Phys, Ul Koszykowa 75, PL-00662 Warsaw, Poland;Univ Warsaw, Heavy Ion Lab, Ul Pasteura 5A, PL-02093 Warsaw, Poland.
Ist Nazl Fis Nucl, Lab Nazl Legnaro, I-35020 Padua, Italy.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Nuclear Physics.ORCID iD: 0000-0001-6996-7605
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2019 (English)In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002, E-ISSN 1872-9576, Vol. 916, p. 238-245Article in journal (Refereed) Published
Abstract [en]

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 gamma rays. Special emphasis is put on the application of artificial neural networks. The results show a systematically higher gamma-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 gamma 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, neutrons could be identified in BC-501A using artificial neural networks down to a recoil proton energy of 800 keV compared to a recoil deuteron energy of 1200 keV for BC-537. We conclude that using artificial neural networks it is possible to obtain the same gamma-ray rejection quality from both BC-501A and BC-537 for neutrons above a low-energy threshold. This threshold is, however, lower for BC-501A, which is important for nuclear structure spectroscopy experiments of rare reaction channels where low-energy interactions dominates.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. Vol. 916, p. 238-245
Keywords [en]
BC-501A, BC-537, Digital pulse-shape discrimination, Fast-neutron detection, Liquid scintillator, Neural networks
National Category
Accelerator Physics and Instrumentation
Identifiers
URN: urn:nbn:se:uu:diva-375216DOI: 10.1016/j.nima.2018.11.122ISI: 000455016800033OAI: oai:DiVA.org:uu-375216DiVA, id: diva2:1284143
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Swedish Research CouncilAvailable from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-01-31Bibliographically approved

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Söderström, Pär-AndersNyberg, Johan

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