Modeling of fine structures in the mass distribution of nuclear reaction products and their recognition by machine learning methods
Keyword(s):
The article is devoted to the analysis of manifestations in rare multibody decays of heavy nuclei. Together with physicists from the FLNR JINR, a computer model of the fine structure was developed, which they found on the basis of experiments on with transuranium element Californium. To test the hypothesis that the structure found is a meaningful, and is not a noise artifact, it was proposed to use a deep convolution network as a binary classifier trained on a large sample of model and noise images. Preliminary results of using the developed neuroclassifier show prospects of the proposed approach.
2021 ◽
Vol 18
(5)
◽
pp. 559-569
2018 ◽
Vol 6
(3)
◽
pp. 499-502
Keyword(s):
2020 ◽