Nuclear Physics and Atomic Energy

Ядерна фізика та енергетика
Nuclear Physics and Atomic Energy

  ISSN: 1818-331X (Print), 2074-0565 (Online)
  Publisher: Institute for Nuclear Research of the National Academy of Sciences of Ukraine
  Languages: Ukrainian, English
  Periodicity: 4 times per year

  Open access peer reviewed journal


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Nucl. Phys. At. Energy 2004, volume 5, issue 1, pages 126-133.
Section: Engineering and Methods of Experiment.
Received: 05.04.2004; Published online: 30.06.2004.
PDF Full text (ua)
https://doi.org/10.15407/jnpae2004.01.126

Application of artificial neural networks for pulse shape analysis in CdWO4 scintillators

F. A. Danevich1, Yu. G. Zdesenko1, S. S. Nagornyi1, S. S. Yurchenko1,2

1Institute for Nuclear Research, National Academy of Sciences of Ukraine, Kyiv, Ukraine
2Kyiv Taras Shevchenko National University, Kyiv, Ukraine

Abstract: Artifical neural network was applied to pulse shape analysis in cadmium tungstate scintillators, and its comparison with optimal digital filter method was done. For the first time the distinct (≈ 100 %) discrimination of α and γ events has been achieved. An improvement of pulse shape analysis in the 116Cd 2β decay experiment by applying both methods together is discussed.

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