Application of a Neural Network Approach to Measurements of Cosmic Ray Fluxes


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Abstract

A neural network approach for processing the output data from a spectrometer with diamond detectors on a spacecraft is discussed. A mathematical apparatus for obtaining differentiable data on fluxes of electrons, protons, and heavy charged particles in 21 energy bands is proposed.

About the authors

A. Yu. Istratov

Moscow Institute of Electronics and Mathematics, National Research University Higher School of Economics (MIEM HSE)

Author for correspondence.
Email: aistratov@hse.ru
Russian Federation, Moscow

K. V. Zakharchenko

UralAlmazInvest Production-Technological Center

Email: aistratov@hse.ru
Russian Federation, Moscow

A. F. Kaperko

Moscow Institute of Electronics and Mathematics, National Research University Higher School of Economics (MIEM HSE)

Email: aistratov@hse.ru
Russian Federation, Moscow

V. A. Kolyubin

UralAlmazInvest Production-Technological Center

Email: aistratov@hse.ru
Russian Federation, Moscow

V. P. Kulagin

Moscow Institute of Electronics and Mathematics, National Research University Higher School of Economics (MIEM HSE)

Email: aistratov@hse.ru
Russian Federation, Moscow

R. I. Kurochkin

Moscow Institute of Electronics and Mathematics, National Research University Higher School of Economics (MIEM HSE)

Email: aistratov@hse.ru
Russian Federation, Moscow

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