Faraday rotation measurements of time dependent magnetic phenomena in insulating spin glasses (invited)

1981 ◽  
Vol 52 (3) ◽  
pp. 1697-1702 ◽  
Author(s):  
J. Ferré ◽  
J. Rajchenbach ◽  
H. Maletta
1984 ◽  
Vol 29 (7) ◽  
pp. 4182-4184 ◽  
Author(s):  
I. Morgenstern

2003 ◽  
Vol 10 (6) ◽  
pp. 585-587 ◽  
Author(s):  
Th. D. Xenos ◽  
S. S. Kouris ◽  
A. Casimiro

Abstract. An estimation of the difference in TEC prediction accuracy achieved when the prediction varies from 1 h to 7 days in advance is described using classical neural networks. Hourly-daily Faraday-rotation derived TEC measurements from Florence are used. It is shown that the prediction accuracy for the examined dataset, though degrading when time span increases, is always high. In fact, when a relative prediction error margin of ± 10% is considered, the population percentage included therein is almost always well above the 55%. It is found that the results are highly dependent on season and the dataset wealth, whereas they highly depend on the foF2 - TEC variability difference and on hysteresis-like effect between these two ionospheric characteristics.


1985 ◽  
Vol 24 (12) ◽  
pp. 1780 ◽  
Author(s):  
Jeffrey A. Davis ◽  
M. Azad Islam ◽  
Roger A. Lilly

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