Podcasts about seismic signal

Artemii Novoselov, Stanford University This seminar introduces PhaseHunter, a deep learning framework initially designed for the precise estimation and uncertainty quantification of seismic phase onset times. Building upon this foundational capability, PhaseHunter has evolved to handle a broader range of seismic applications through a probabilistic deep learning regression approach. This enables the framework to analyze both continuous and binary properties of seismic signals, thereby extending its potential applications to include earthquake location, seismic tomography, source discrimination, and earthquake early warning systems. The seminar will explore the technical aspects and practical applications of PhaseHunter, offering insights into how this tool could serve various facets of seismological research and hazard assessment. As an open-source project, PhaseHunter also encourages community contributions for ongoing improvements and adaptations.

The probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area during the next 30 years is 63 percent, or about two out of three. Lawrence Livermore National Lab scientist Sean Ford and teacher Ken Wedel discuss what an earthquake of that size in the Bay Area would look like and explain its effects. Just like an earthquake, a nuclear test can cause seismic disturbances that are recorded at monitoring stations around the world. Learn how seismologists tell the difference between these two sources by sleuthing seismic signals. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 24772]

The probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area during the next 30 years is 63 percent, or about two out of three. Lawrence Livermore National Lab scientist Sean Ford and teacher Ken Wedel discuss what an earthquake of that size in the Bay Area would look like and explain its effects. Just like an earthquake, a nuclear test can cause seismic disturbances that are recorded at monitoring stations around the world. Learn how seismologists tell the difference between these two sources by sleuthing seismic signals. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 24772]

The probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area during the next 30 years is 63 percent, or about two out of three. Lawrence Livermore National Lab scientist Sean Ford and teacher Ken Wedel discuss what an earthquake of that size in the Bay Area would look like and explain its effects. Just like an earthquake, a nuclear test can cause seismic disturbances that are recorded at monitoring stations around the world. Learn how seismologists tell the difference between these two sources by sleuthing seismic signals. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 24772]

The probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area during the next 30 years is 63 percent, or about two out of three. Lawrence Livermore National Lab scientist Sean Ford and teacher Ken Wedel discuss what an earthquake of that size in the Bay Area would look like and explain its effects. Just like an earthquake, a nuclear test can cause seismic disturbances that are recorded at monitoring stations around the world. Learn how seismologists tell the difference between these two sources by sleuthing seismic signals. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 24772]