Magnitude Of Earthquakes Controls The Size Distribution Of Their Triggered Events
Shyam Nandan, Guy Ouillon, Didier Sornette

TL;DR
This paper reveals that earthquake magnitudes follow a complex distribution with three distinct ta-values, indicating a correlation between triggered and triggering events, which improves seismic forecasting models.
Contribution
It introduces a new magnitude distribution model with three ta-values, capturing correlations in triggered earthquakes, enhancing the ETAS model's accuracy.
Findings
Earthquake magnitudes exhibit three distinct ta-values.
Triggered earthquake magnitudes are correlated with the triggering event.
The new model improves seismic catalog description and forecasting potential.
Abstract
The driving concept behind one of the most successful statistical forecasting models, the ETAS model, has been that the seismicity is driven by spontaneously occurring background earthquakes that cascade into multitudes of triggered earthquakes. In nearly all generalizations of the ETAS model, the magnitudes of the background and the triggered earthquakes are assumed to follow Gutenberg-Richter law with the same exponent (\b{eta}-value). Furthermore, the magnitudes of the triggered earthquakes are always assumed to be independent of the magnitude of the triggering earthquake. Using an EM algorithm applied to the Californian earthquake catalogue, we show that the distribution of earthquake magnitudes exhibits three distinct \b{eta}-values: \b{eta}_b for background events; \b{eta}_a-{\delta} and \b{eta}_a+{\delta}, respectively, for triggered events below and above the magnitude of the…
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