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


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Resumo

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.

Sobre autores

A. Istratov

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

Autor responsável pela correspondência
Email: aistratov@hse.ru
Rússia, Moscow

K. Zakharchenko

UralAlmazInvest Production-Technological Center

Email: aistratov@hse.ru
Rússia, Moscow

A. Kaperko

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

Email: aistratov@hse.ru
Rússia, Moscow

V. Kolyubin

UralAlmazInvest Production-Technological Center

Email: aistratov@hse.ru
Rússia, Moscow

V. Kulagin

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

Email: aistratov@hse.ru
Rússia, Moscow

R. Kurochkin

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

Email: aistratov@hse.ru
Rússia, Moscow

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