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arXiv · 1410.8834

Focal mechanism estimation by classification

Ben G. Lasscock·Brendon J. Hall·Michael E. Glinsky
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Abstract

A classification technique for identifying focal mechanism type and fault plane orientation based on the polarity of P-wave "first motion" data is derived. A support vector machine is used to classify the polarity data in the space of spherical harmonic functions. The classification is non-parametric in the sense that there is no requirement to make a priori assumptions source mechanism. A metric of similarity potentially able to distinguish shear versus tensile dislocation without requiring estimation of the fault plane orientation is a natural consequence of this procedure. Going further, correlation functions between template source mechanism is derived, gives an estimate of fault plane orientation assuming a particular source mechanism.

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BibTeXRIS

Ben G. Lasscock, Brendon J. Hall, Michael E. Glinsky. 2014-10-31. Focal mechanism estimation by classification. https://arxiv.org/abs/1410.8834

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