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Charge–Sign Dependence of Cosmic Ray Modulation from the PAMELA Experiment

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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

Machine learning is used to obtain ratios of 100–500-MeV positron-to-electron and electron-to-proton fluxes with rigidities of 1–1.7-GV from the PAMELA experimental data for 2006–2016 in order to study the solar modulation of cosmic-ray fluxes with energies below 1 GeV. Observed features of the data and a comparison to AMS-02 experimental results allow study of the charge–sign dependence of modulation around the sunspot minimum in 2009 and the maximum in 2015.

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Funding

This work was supported by the RF Ministry of Science and Higher Education, project no. 0723-2020-0040 “Fundamental Problems of Cosmic Rays and Dark Matter.”

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Authors and Affiliations

  1. National Research Nuclear University MEPhI, 115409, Moscow, Russia

    P. Mukhin, V. V. Mikhailov & A. V. Mikhailova

Authors
  1. P. Mukhin
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  2. V. V. Mikhailov
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  3. A. V. Mikhailova
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Consortia

on behalf of the PAMELA Collaboration

Corresponding author

Correspondence to P. Mukhin.

Additional information

Translated by O. Ponomareva

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Mukhin, P., Mikhailov, V.V., Mikhailova, A.V. et al. Charge–Sign Dependence of Cosmic Ray Modulation from the PAMELA Experiment. Bull. Russ. Acad. Sci. Phys. 87, 962–964 (2023). https://doi.org/10.3103/S1062873823702544

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  • DOI: https://doi.org/10.3103/S1062873823702544

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