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

  • Elementary Particles and Fields/Experiment
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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.

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Funding

This work was supported by the Russian Scientific Foundation no. 17-17-01215-P.

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Authors and Affiliations

  1. Geophysical Center of the Russian Academy of Sciences, Moscow, Russia

    V. G. Getmanov, V. E. Chinkin, R. V. Sidorov, A. D. Gvishiani, M. N. Dobrovolsky, A. A. Soloviev, A. N. Dmitrieva, A. A. Kovylyaeva & I. I. Yashin

  2. Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences, Moscow, Russia

    V. G. Getmanov, A. D. Gvishiani & A. A. Soloviev

  3. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia

    A. N. Dmitrieva, A. A. Kovylyaeva & I. I. Yashin

Authors
  1. V. G. Getmanov
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  2. V. E. Chinkin
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  3. R. V. Sidorov
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  4. A. D. Gvishiani
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  5. M. N. Dobrovolsky
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  6. A. A. Soloviev
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  7. A. N. Dmitrieva
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  8. A. A. Kovylyaeva
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  9. I. I. Yashin
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Corresponding author

Correspondence to V. G. Getmanov.

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Getmanov, V.G., Chinkin, V.E., Sidorov, R.V. et al. Methods for Recognition of Local Anisotropy in Muon Fluxes in the URAGAN Hodoscope Matrix Data Time Series. Phys. Atom. Nuclei 84, 1080–1086 (2021). https://doi.org/10.1134/S106377882113010X

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  • DOI: https://doi.org/10.1134/S106377882113010X

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