Crustal Imaging With Bayesian Inversion of Teleseismic P Wave Coda Autocorrelation

Abstract

The autocorrelation of the seismic transmission response of a layered medium(autocorrelogram), in the presence of a free surface, corresponds to the reflection response. Despite manystudies on the imaging of local structures through retrieval and forward modeling of stackedautocorrelograms, there is limited work on the inversion of these data. In this study, we demonstrate thatthe probabilistic inversion of autocorrelograms is efficientand can be used as an alternative imaging toolwhen other approaches are not applicable. Here, we calculate autocorrelograms of teleseismicPwave codarecorded on more than 1,200 permanent and temporary seismic stations across Australia and utilize aBayesian framework to invert these data for crustal imaging. The results show patterns of structuresconsistent with those seen in previous crustal models constructed from receiver function, seismicreflection, and refraction methods. The new approach can therefore image large-scale crustal structurescomparable to those from other seismological methods.