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Dynamical complexity in Dst time series using non-extensive Tsallis Georgios Balasis,1

Summary: Dynamical complexity in Dst time series using non-extensive Tsallis
Georgios Balasis,1
Ioannis A. Daglis,1
Constantinos Papadimitriou,2
Maria Kalimeri,2
Anastasios Anastasiadis,1
and Konstantinos Eftaxias2
Received 20 May 2008; accepted 5 June 2008; published 17 July 2008.
[1] Nonlinearly evolving dynamical systems, such as
space plasmas, generate complex fluctuations in their
output signals that reflect the underlying dynamics. The
non-extensive Tsallis entropy has been proposed as a
measure to investigate the complexity of system dynamics.
We employ this method for analyzing Dst time series. The
results show that Tsallis entropy can effectively detect the
dissimilarity of complexity between the pre-storm activity
and intense magnetic storms (Dst < 150 nT), which is
convenient for space weather applications. Citation: Balasis,
G., I. A. Daglis, C. Papadimitriou, M. Kalimeri, A. Anastasiadis,


Source: Anastasiadis, Anastasios - Institute for Space Applications and Remote Sensing, National Observatory of Athens


Collections: Physics