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Simulation and Analysis of the Properties of Linear Structures in the Mass Distribution of Nuclear Reaction Products by Machine Learning Methods

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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Correspondence to M. O. Rudenko.

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Translated by E. Baldina

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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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