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

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...

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Veröffentlicht in:	Bulletin of the Russian Academy of Sciences. Physics 2023-07, Vol.87 (7), p.962-964
Hauptverfasser:	Mukhin, P., Mikhailov, V. V., Mikhailova, A. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cosmic rays Fluxes Hadrons Heavy Ions Machine learning Modulation Nuclear Physics Physics Physics and Astronomy Sunspots
Online-Zugang:	Volltext
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