We analyze nearest-neighbor proximities of earthquakes in California based on the joint distribution (T, R) of rescaled time T and rescaled distance R between pairs of earthquakes (Zaliapin & Ben-Zion, 2013a, https://doi.org/10.1002/jgrb.50179), using seismic catalogs from several regions and several catalogs for the San Jacinto Fault Zone (SJFZ). The study aims to identify informative modes in nearest-neighbor diagrams beyond the general background and clustered modes, and to assess seismic catalogs derived by different methods. The results show that earthquake clusters with large and small-to-medium mainshocks have approximately diagonal and horizontal (T, R) distributions of the clustered mode, respectively, reflecting different triggering distances of mainshocks. Earthquakes in the creeping section of San Andreas Fault have a distinct “repeaters mode” characterized by very large rescaled times T and very small rescaled distances R, due to nearly identical locations of repeating events. Induced seismicity in the Geysers and Coso geothermal fields follow mostly the background mode, but with larger rescaled times T and smaller rescaled distances R compared to tectonic background seismicity. We also document differences in (T, R) distributions of catalogs constructed by different techniques (analyst-picks, template-matching and deep-learning) for the SJFZ, and detect a mode with very large R and small T in the template-matching and deep-learning based catalogs. This mode may reflect dynamic triggering by passing waves and/or catalog artifacts.

中文翻译：

---

最近邻地震中地震活动的信息模式

我们根据地震对之间重新调整时间T和重新调整距离R的联合分布 ( T , R ) 分析加利福尼亚州地震的最近邻邻近度 (Zaliapin & Ben-Zion, 2013a, https://doi.org/10.1002 /jgrb.50179），使用来自多个地区的地震目录和圣哈辛托断层带（SJFZ）的多个目录。该研究的目的是识别最近邻图中超出一般背景和聚类模式的信息模式，并评估通过不同方法得出的地震目录。结果表明，大、中、小主震的地震簇的簇模态分别近似对角线和水平（T，R）分布，反映了不同的主震触发距离。圣安德烈亚斯断层蠕动部分的地震具有明显的“重复模式”，其特征是非常大的重标时间T和非常小的重标距离R，因为重复事件的位置几乎相同。间歇泉和科索地热田中的诱发地震活动主要遵循背景模式，但与构造背景地震活动相比，具有更大的重新标度时间T和更小的重新标度距离R。我们还记录了SJFZ 通过不同技术（分析师选择、模板匹配和深度学习）构建的目录( T , R ) 分布的差异，并在模板匹配中检测具有非常大的R和小的T的模式和基于深度学习的目录。该模式可以反映通过的波和/或目录伪影的动态触发。