Dynamical scaling in branching models for seismicity

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dc.creatorLippiello, Eugenio
dc.creatorGodano, Cataldo
dc.creatorde Arcangelis, Lucilla
dc.date2007-01-30
dc.date.accessioned2026-07-07T07:43:49Z
dc.date.available2026-07-07T07:43:49Z
dc.descriptionWe 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.
dc.description3 figures to appear on Physical Review Letters
dc.identifierhttps://arxiv.org/abs/cond-mat/0701740
dc.identifierhttp://arxiv.org/abs/cond-mat/0701740
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/122977
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleDynamical scaling in branching models for seismicity
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