Publication:
Methods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series

dc.contributor.authorGetmanov, V. G.
dc.contributor.authorChinkin, V. E.
dc.contributor.authorSidorov, R. V.
dc.contributor.authorGvishiani, A. D.
dc.contributor.authorDmitrieva, A. N.
dc.contributor.authorKovylyaeva, A. A.
dc.contributor.authorYashin, I. I.
dc.contributor.authorДмитриева, Анна Николаевна
dc.contributor.authorЯшин, Игорь Иванович
dc.date.accessioned2024-11-30T01:11:43Z
dc.date.available2024-11-30T01:11:43Z
dc.date.issued2021
dc.description.abstract© 2021, Pleiades Publishing, Ltd.Abstract: In this article, the methods for the recognition of local anisotropy of muon fluxes in the matrix data time series from the URAGAN muon hodoscope are proposed, based on the estimates of normalized variations of output muon flux intensity distribution functions, using the hardware function calculations, and indicator functions based on calculation of reference and current confidence intervals. The recognition algorithms have been developed. The estimates of efficiency for the proposed recognition methods have been performed.
dc.format.extentС. 1080-1086
dc.identifier.citationMethods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series / Getmanov, V.G. [et al.] // Physics of Atomic Nuclei. - 2021. - 84. - № 6. - P. 1080-1086. - 10.1134/S106377882113010X
dc.identifier.doi10.1134/S106377882113010X
dc.identifier.urihttps://www.doi.org/10.1134/S106377882113010X
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85122072064&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000736740700037
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/25162
dc.relation.ispartofPhysics of Atomic Nuclei
dc.titleMethods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue6
oaire.citation.volume84
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