Direct observations of causal links in plastic events validates statistical analysis tools for seismology
Abstract
Earthquakes are complex physical processes driven by the stick-slip motion of a sliding fault. After the main quake, a series of aftershocks typically follows. These are loosely defined as events that follow a given event and occur within prescribed space-time windows. In seismology, it is however impossible to establish a causal relation and the popular Nearest-Neighbor metric is commonly used to distinguish aftershocks from independent events. Here we employ a model for earthquake dynamics, previously shown to be able to correctly reproduce the phenomenology of earthquakes, and a technique that allows us to separate independent and triggered events. We show that aftershocks in our catalogue follow Omori's law and we employ the model to show that the Nearest-Neighbor metric is effective in separating independent events from aftershocks.
Keywords
Cite
@article{arxiv.2212.04543,
title = {Direct observations of causal links in plastic events validates statistical analysis tools for seismology},
author = {Pinaki Kumar and Roberto Benzi and Jeannot Trampert and Federico Toschi},
journal= {arXiv preprint arXiv:2212.04543},
year = {2022}
}
Comments
6 pages, 5 figures