Abstract
This paper is devoted to the analysis of manifestations of clustering in rare multibody decays of heavy nuclei. A computer model of the fine structure was developed jointly with the physicists of FLNR JINR; it was found based on experiments with the transuranium element Californium. To test the hypothesis that the structure really exists 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 the prospects for this approach.
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Ososkov, G.A., Pyatkov, Y.V. & Rudenko, M.O. Simulation and Analysis of the Properties of Linear Structures in the Mass Distribution of Nuclear Reaction Products by Machine Learning Methods. Phys. Part. Nuclei Lett. 18, 559–569 (2021). https://doi.org/10.1134/S1547477121050083
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DOI: https://doi.org/10.1134/S1547477121050083