Zugriffsnummer 40543
Dokumenttyp Zeitschriftenartikel
Peer Review mit Peer Review
Sprache Englisch
Titel Improved pulse shape discrimination in EJ-301 liquid scintillators
Autor(in); Institution
Lang, R.F.; Department of Physics and Astronomy, Purdey University, West Lafayette, USA
Masson, D.; Department of Physics and Astronomy, Purdey University, West Lafayette, USA
Pienaar, J.; Department of Physics and Astronomy, Purdey University, West Lafayette, USA
Röttger, Stefan; 6.1, Radioaktivität, PTB-Braunschweig
Quelle/Jahr Nuclear Instruments and Methods in Physics Research A: 856 (2017), 26, 26 - 31
ISSN 0168-9002 (PRINT) ; 1872-9576 (ONLINE)
DOI
URL
Verlag Amsterdam: Elsevier
Zusammenfassung Digital pulse shape discrimination has become readily available to distinguish nuclear recoil and electronic recoil events in scintillatin detectors. We evaluate digital implementations of pulse shape discriminatin algorithms discussed in the literature, namely the Charge Comparison Methos, Pulse-Gradient Analysis, Fourier Series and Standard Event Fitting. In addition, we present a novel algorithm based on a Laplace Transform. Instead of comparing the performance of these algorithms based on a single Figure of Merit, we evaluate them as a function of recoil energy. Specifically, susing commercial EJ-301 liquid scintillators, we examined both the resulting acceptance of nuclear recoils at a given rejection level of electronic recoils, as well as the purity of the selected nuclear recoil event samples. We find that both a Standard Event fit and a Laplace Transform can be used to significantly improve the discrimination capabilities ober the whole considered energy range of 0-800 keVee Furthermore, we show that the Charge Comparison Method performs poorly in accurately identifying nuclear rcoils.

Zitierung

Lang, R., Masson, D., Pienaar, J., & Röttger, S. (2017). Improved pulse shape discrimination in EJ-301 liquid scintillators. Nuclear Instruments and Methods in Physics Research A, 856(26), 26–31. https://doi.org/10.1016/j.nima.2017.02.090

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