by LIPPIELLO Eugenio, DE ARCANGELIS Lucilla, GODANO Cataldo
Abstract:
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 interevent time distribution.
Reference:
Dynamical Scaling in Branching Models for Seismicity (LIPPIELLO Eugenio, DE ARCANGELIS Lucilla, GODANO Cataldo), In PHYSICAL REVIEW LETTERS, volume 98, 2007. (Articolo in rivista)
Bibtex Entry:
@article{eug07,
author = {LIPPIELLO Eugenio, and DE ARCANGELIS Lucilla, and GODANO Cataldo,},
pages = {5011-5014},
title = {Dynamical Scaling in Branching Models for Seismicity},
volume = {98},
note = {Articolo in rivista},
issn = {0031-9007},
journal = {PHYSICAL REVIEW LETTERS},
year = {2007},
wosId = {WOS:000244592100068},
scopusId = {2-s2.0-33847247929},
abstract = {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 interevent time distribution.}
}