Dynamical scaling in branching models for seismicity

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We propose a branching process based on a dynamical scaling hypothesis relating time and mass. In the context of earthquake occurrence, we show that experimental power laws in size and time distribution naturally originate solely from this scaling hypothesis. We present a numerical protocol able to generate a synthetic catalog with an arbitrary large number of events. The numerical data reproduce the hierarchical organization in time and magnitude of experimental inter-event time distribution.
3 figures to appear on Physical Review Letters

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Statistical Mechanics, Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/122977

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0701740
 http://arxiv.org/abs/cond-mat/0701740

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arXiv