License to Operate (LtO) Technical Partners
Below is a complete list of License to Operate (LtO) partners, along with their primary point of contact for ShakeAlert-related inquiries. These are currently the only partners with a license to make commercially or non-commercially available products or services that are powered by ShakeAlert®. Note: The USGS does not directly or indirectly endorse any product […]
ShakeAlert System Algorithms
Earthquake Point‐source Integrated Code (EPIC): The EPIC algorithm is a point-source algorithm that uses P-wave data to detect an earthquake and estimate its source parameters (magnitude, epicenter, and origin time). To detect an earthquake, EPIC requires P-wave triggers from at least four stations and for 40% of nearby stations to have triggered. EPIC estimates the magnitude […]
Varius Documents
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Valcom Documents
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ShakeAlert EPIcenter Partnership
The ShakeAlert EPIcenter Partnership is a network of museums, libraries, parks, and other Free-Choice Learning Environments committed to promoting earthquake resilience in our institutions and in our communities.
Virtual Seismologist
The Virtual Seismologist (VS method) was retired from the ShakeAlert production prototype system in November 2016. The Virtual Seismologist (VS method) uses envelopes of acceleration, velocity, and displacement as the basic data input to a Bayesian framework that also incorporates other types of information (e.g., topology of the seismic network, recent seismic activity). The system […]
Onsite Algorithm
The τc-Pd Onsite algorithm belongs to the group of single-sensor approaches to EEW (Kanamori, 2005). As a matter of principle, this type of warning approach is quicker in detecting and processing of earthquakes, but is expected to be less reliable compared to regional warning algorithms that are based on observations at multiple seismic sensors. The […]
Elarms
ElarmS takes the form of a suite of algorithms designed to (1) rapidly detect the initiation of an earthquake, (2) determine the size (magnitude) and location of the event, (3) predict the peak ground motion expected in the region around the event, and (4) issue a warning to people in locations that may expect significant […]