OPUS: Optimal Processing and Unphysical Signals in noise correlations

OPUS is a Python-based research code to study the effects of nonlinear processing on seismic noise correlations. In addition to quantifying potential unphysical components introduced by regular processing, it provides optimal processing schemes that avoid unphysical effects completely.

The complete code, including a real-data example from the Irish Seismic Network can be found Downloadhere (ZIP, 845.7 MB).

The underlying theory together with illustrations and examples is freely available through an EarthArXiv manuscript entitled DownloadOptimal Processing for Seismic Noise Correlations (PDF, 9.5 MB), written by Andreas Fichtner, Daniel Bowden and Laura Ermert. A similar manuscript is under review for publication in the Geophysical Journal International.