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Experimental data of Muon hodoscope URAGAN for investigations of geoffective processes in the heliosphere

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dc.contributor.authorKovylyaeva, A.
dc.contributor.authorAstapov, I.
dc.contributor.authorDmitrieva, A.
dc.contributor.authorBorog, V.
dc.contributor.authorOsetrova, N.
dc.contributor.authorYashin, I.
dc.contributor.authorАстапов, Иван Иванович
dc.contributor.authorДмитриева, Анна Николаевна
dc.contributor.authorБорог, Владимир Викторович
dc.contributor.authorЯшин, Игорь Иванович
dc.date.accessioned2024-11-25T17:25:27Z
dc.date.available2024-11-25T17:25:27Z
dc.date.issued2020
dc.description.abstract© 2020, Ubiquity Press. All rights reserved.Muon hodoscope URAGAN continuously detects the angular distribution of muons in a wide range of zenith angles and allows one to obtain information about variations, both in the intensity and in angular characteristics of the muon flux, caused by active processes in the heliosphere, the magnetosphere and atmosphere of the Earth. Various parameters of the muon flux anisotropy and methods of calculation of these parameters are discussed. Real-time processing of a continuous flow of multidimensional data from the muon hodoscope URAGAN is quite a challenge. In the article, methods of formation and primary analysis of the data, their processing in real time and obtaining time series of various parameters of integral counting rate and angular anisotropy of the muon flux, which are important for the physical analysis of modulation processes of cosmic rays in the heliosphere, are presented.
dc.identifier.citationExperimental data of Muon hodoscope URAGAN for investigations of geoffective processes in the heliosphere / Kovylyaeva, A. [et al.] // Data Science Journal. - 2020. - 19. - № 1. - 10.5334/dsj-2020-011
dc.identifier.doi10.5334/dsj-2020-011
dc.identifier.urihttps://www.doi.org/10.5334/dsj-2020-011
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85082458324&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20470
dc.relation.ispartofData Science Journal
dc.titleExperimental data of Muon hodoscope URAGAN for investigations of geoffective processes in the heliosphere
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume19
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