Analyse spatio-temporelle du champ géomagnétique et des processus d'accélération solaires observés en émission radio

Abstract : The study of the Sun--Earth connections often requires the analysis of multivariate data sets that depend on several variables (time, space, ...). We propose to make use of multivariate statistical methods (SVD, ICA, ...) to characterize physical processes. Such methods allow to project the data on a limited number of modes, which capture their salient features. These modes subsequently have to be interpreted in terms of the physics. We consider two examples : (1) the geomagnetic field, as measured at different locations on the Earth, and (2) acceleration processes in the solar corona, as observed by the Nançay radioheliograph. From statistical modes, we show that it is possible to isolate and characterize known physical processes. In particular, weak but coherent disturbances such as geomagnetic jerks can be better identified that way.
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Contributor : Fernando Pereira <>
Submitted on : Wednesday, May 19, 2004 - 2:06:43 PM
Last modification on : Friday, April 5, 2019 - 8:19:19 PM
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  • HAL Id : tel-00006128, version 1

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Fernando Perira. Analyse spatio-temporelle du champ géomagnétique et des processus d'accélération solaires observés en émission radio. Physique [physics]. Université d'Orléans, 2004. Français. ⟨tel-00006128⟩

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