对塑性事件中因果联系的直接观测验证了地震学的统计分析工具
Direct observations of causal links in plastic events validates statistical analysis tools for seismology
摘要：
地震是由滑动断层的粘滑运动驱动的复杂物理过程。主震之后，通常会发生一系列余震。这些事件被松散地定义为在给定事件之后并在规定的时空窗口内发生的事件。然而，在地震学中，建立因果关系是不可能的，流行的最近邻度量通常用于区分余震和独立事件。在这里，我们采用了地震动力学模型，以前被证明能够正确地再现地震的现象，和一种技术，使我们能够分离独立的和触发的事件。我们表明，余震在我们的目录遵循大森定律，我们采用的模型表明，最近邻度量是有效的分离独立的事件余震。
英文摘要：
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.
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