Earthquake focal mechanisms, determined with P‐wave polarities and S/P amplitude ratios,
are primary data for analyzing fault zone geometry, sense of slip, and the crustal stress field …

We utilized relative polarity measurements and machine learning techniques to better
resolve focal mechanisms and stress orientations considering a catalog of∼ 29,000 …

Earthquake focal mechanisms are traditionally produced using P‐wave first‐motion
polarities and commonly require well‐recorded seismicity. A recent approach that is less …

Earthquake focal mechanisms present information on fault plane and stress direction, which
is crucial for understanding tectonics and seismicity. Source focal mechanisms of small …

We introduce a Python package for computing focal mechanism solutions. This algorithm,
which we refer to as SKHASH, is largely based on the HASH algorithm originally written in …

Determining earthquake hypocenters and focal mechanisms requires precisely measured P
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …

Accurate P-wave first-motion-polarity (FMP) information can contribute to solving earthquake
focal mechanisms, especially for small earthquakes, to which waveform-based methods are …

Accurate earthquake focal mechanisms are essential for solving fault zone structure,
estimating stress variations, and assessing seismic hazards. Small earthquakes' focal …

The increasing seismicity and improved seismic observation network in recent years provide
an opportunity to explore factors that influence the triggering processes, spatiotemporal …

In microseismicity analyses, reliable focal mechanisms can typically be obtained for only a
small subset of located events. We address this limitation here, presenting a framework for …