Fig. 6: Key results of synthetic catalog analysis.
From: Seismic magnitude clustering is prevalent in field and laboratory catalogs
A Comparison of cumulative distribution for synthetic catalogs generated with different approaches, including adding artificial incompleteness to the stochastic catalog and tuning the ETAS parameters to the Hamilton, OH catalog. ECDF results for the B ETAS catalog fit to Hamilton parameters, C stochastic catalog with incompleteness added, and D 22% repeating events added to the ETAS catalog. Magnitude clustering patterns observed in field (E, F) and lab (G, H) settings compared with best-fitting patterns from synthetic seismicity catalogs with varying amounts of repetitive events. A grid search over repeating percentage, magnitude uncertainty, and b-value was used to identify a range of synthetic catalogs that best fit the observed pattern (gray shading, dashed line indicates mean). Percentages of repeating events for the range of fitting catalogs are reported.
