MTIWT: moment tensor inversion using wavelet transform

Abstract

In this study, we introduce a moment tensor inversion framework utilizing a wavelet transform, and we have designated our method as MTIWT. Our implementation includes a semi-automatic data preparation and a point source inversion. The method is similar to the technique in the time domain but is adjusted using wavelet coefficients. The proposed method uses the advantages of wavelet transform to estimate centroid moment tensor (CMT) solutions. The key advantage of this approach lies in its ability to assess the centroid moment tensor across a broad frequency range using a smaller number of samples as opposed to traditional time domain methods. The methodology enables users to add supplementary routines to all processing stages upon the existing framework. This allows for greater flexibility and customization of our method to meet specific needs. We show the method’s accuracy and reliability to obtain earthquake source parameters with synthetic tests and real observed seismograms.