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

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.

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Measurement techniques 2016-06, Vol.59 (3), p.293-302
Hauptverfasser:	Istratov, A. Yu, Zakharchenko, K. V., Kaperko, A. F., Kolyubin, V. A., Kulagin, V. P., Kurochkin, R. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical Chemistry Characterization and Evaluation of Materials Charged particles Cosmic rays Detectors Diamonds Energy Energy bands Fluxes Mathematical analysis Mathematical models Measurement Measurement Science and Instrumentation Measurement techniques Neural networks Physical Chemistry Physics Physics and Astronomy Protons Radiation Sensors Spacecraft Spectrometers Studies
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.
ISSN:	0543-1972 1573-8906
DOI:	10.1007/s11018-016-0961-x