Natural time and 1/f "noise"
P.A. Varotsos, N.V. Sarlis, E.S. Skordas

TL;DR
This paper introduces the concept of natural time to analyze complex systems, demonstrating its effectiveness in identifying critical dynamics and $1/f$ noise behavior in seismic electric signals.
Contribution
It proposes a simple model exhibiting $1/f$ noise in natural time and applies this analysis to real seismic electric signals to reveal their critical dynamics.
Findings
Seismic electric signals follow $1/f^a$ behavior with $a$ close to 1.
Natural time analysis reveals critical dynamics in electric signals.
The model reproduces $1/f$ noise observed in real data.
Abstract
Seismic electric signals have been found to obey the ubiquitous behavior [{\em Phys. Rev. E} {\bf 66}, 011902(2002)]. The newly introduced concept of natural time enables the study of the dynamic evolution of a complex system and identifies when the system enters the critical stage. On the basis of this concept, a simple model is proposed here which exhibits the behavior with close to unity. Furthermore, we present recent data of electric signals, which when analyzed in the natural time domain are found to exhibit {\em critical} dynamics and hence can be classified as seismic electric signals.
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Taxonomy
TopicsEarthquake Detection and Analysis · Geophysical and Geoelectrical Methods · Complex Systems and Time Series Analysis
