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 2006, volume 7, issue 2, pages 143-147.
Section: Engineering and Methods of Experiment.
Received: 14.04.2006; Published online: 30.12.2006.
PDF Full text (ua)
https://doi.org/10.15407/jnpae2006.02.143

Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39

Yu. Onishchuk1, S. Gorbachov2, S. Yurchenko1,3

1Kyiv Taras Shevchenko National University, Kyiv, Ukraine
2Ukrainian Radiation Protection Institute, Academy of Technological Sciences of Ukraine, Kyiv, Ukraine
3Institute for Nuclear Research, National Academy of Sciences of Ukraine, Kyiv, Ukraine

Abstract: New technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied a neural network of opposite propagation. Effective selection of different tracks types and their discrimination from noises was achieved. Due to this the energy resolution of technique was improved. Presented approach is very perspective alternative of tracks discrimination as the traditional methods of shapes algorithmization are too complicated and dependent on scanning conditions.

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