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

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Measurement Techniques Aims and scope

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.

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Correspondence to A. Yu. Istratov.

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Translated from Izmeritel’naya Tekhnika, No. 3, pp. 49–54, March, 2016. Original article submitted October 20, 2015.

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Istratov, A.Y., Zakharchenko, K.V., Kaperko, A.F. et al. Application of a Neural Network Approach to Measurements of Cosmic Ray Fluxes. Meas Tech 59, 293–302 (2016). https://doi.org/10.1007/s11018-016-0961-x

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  • DOI: https://doi.org/10.1007/s11018-016-0961-x

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