A New Method for Determining First-Motion Focal Mechanisms

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P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning (2018, methodology): “Observed phase arrival times and first-motion polarities of seismic P waves are essential ingredients in determining hypocenters and focal mechanisms (e.g., Hardebeck & Shearer, 2002; Yang et al., 2012).”
Strain Green's Tensors, Reciprocity, and Their Applications to Seismic Source and Structure Studies (2006, methodology): “For the starting source models, we estimated the focal mechanisms from first-motion data using the HASH algorithm by Hardebeck and Shearer (2002) to carry out the grid search for suitable dip, rake, and strike angles that best fit the polarities of the first motions.”
Using S/P Amplitude Ratios to Constrain the Focal Mechanisms of Small Earthquakes (2003, methodology): “Also, to achieve this misfit reduction, an unacceptable number of the P polarity observations are misfit, 25%, compared to the known 10% polarity error rate for the Northridge region (Hardebeck and Shearer, 2002).”
Three-Dimensional Compressional Wavespeed Model, Earthquake Relocations, and Focal Mechanisms for the Parkfield, California, Region (2006, methodology): “The mechanisms were fit to P-wave polarity data (obtained from the NCEDC) using the technique of Hardebeck and Shearer (2002) .”