Point source moment tensor inversion through a Bayesian hierarchical model
Characterization of seismic sources is an important aspect of seismology. Parameter uncertainties in such inversions are essential for estimating solution robustness, but are rarely available. We have developed a non-linear moment tensor inversion method in a probabilistic Bayesian framework that also accounts for noise in the data. The method is designed for point source inversion using waveform data of moderate-size earthquakes and explosions at regional distances. This probabilistic...[Show more]
|Collections||ANU Research Publications|
|Source:||Geophysical Journal International|
|Access Rights:||Open Access|
|01_Mustac_Point_Source_Moment_2016.pdf||11.35 MB||Adobe PDF|
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