Predictability of the coherent-noise model and its applications

N. V. Sarlis, S. R G Christopoulos

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We study the threshold distribution function of the coherent-noise model for the case of infinite number of agents. This function is piecewise constant with a finite number of steps n. The latter exhibits a 1/f behavior as a function of the order of occurrence of an avalanche and hence versus natural time. An analytic expression of the expectation value E(S) for the size S of the next avalanche is obtained and used for the prediction of the next avalanche. Apart from E(S), the number of steps n can also serve for this purpose. This enables the construction of a similar prediction scheme which can be applied to real earthquake aftershock data.

Original languageEnglish
Article number051136
Number of pages8
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume85
Issue number5
DOIs
Publication statusPublished - 25 May 2012
Externally publishedYes

Fingerprint

Avalanche
Predictability
avalanches
Threshold Function
Prediction
predictions
Earthquake
Distribution Function
earthquakes
distribution functions
Model
occurrences
thresholds

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Statistics and Probability

Cite this

Predictability of the coherent-noise model and its applications. / Sarlis, N. V.; Christopoulos, S. R G.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 85, No. 5, 051136, 25.05.2012.

Research output: Contribution to journalArticle

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