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

Дата
2021
Авторы
Ososkov, G. A.
Rudenko, M. O.
Pyatkov, Y. V.
Journal Title
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Научные группы
Организационные подразделения
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Организационная единица
Институт ядерной физики и технологий
Цель ИЯФиТ и стратегия развития - создание и развитие научно-образовательного центра мирового уровня в области ядерной физики и технологий, радиационного материаловедения, физики элементарных частиц, астрофизики и космофизики.
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Аннотация
© 2021, Pleiades Publishing, Ltd.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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Цитирование
Ososkov, G. A. Simulation and Analysis of the Properties of Linear Structures in the Mass Distribution of Nuclear Reaction Products by Machine Learning Methods / Ososkov, G.A., Rudenko, M.O., Pyatkov, Y.V. // Physics of Particles and Nuclei Letters. - 2021. - 18. - № 5. - P. 559-569. - 10.1134/S1547477121050083
URI
https://www.doi.org/10.1134/S1547477121050083
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85115809324&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000700408800005
 https://openrepository.mephi.ru/handle/123456789/24729
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