Event Detection Python Application Emily Morton, Nicole McMahon, Leah Langer, Grace Barcheck

Motivations: Detect earthquakes not found by traditional association methods Create a 1-stop-shop detection module, from template to catalog Open source and hackable This sort of software doesn’t exist (to our knowledge)

Automated Detection: Cross-Correlation Scanner [e.g. Rubin et al., 1999; Rowe et al., 2002a and 2002b]

Automated Detection: Subspace Detector [e.g. Harris, 1991; Harris, 2006; Harris and Paik, 2006; Maceira et al., 2010; Figure: Harris, 2006; Harris and Paik, 2006]

Tools

Processing flow b Launch GUI Choose Inputs FetchData Design template Run Correlations Determine Threshold Display detections Keep / discard detection

Select detection method: cross-correlation subspace custom 1. Launch GUI

Inputs into an external text file: Event times –Origin times –Arrival times Networks, stations, and channels of interest Template window Start and endtimes of data period to scan Output type 2. Inputs

3. FetchData

Filter Cut Keep/discard SVD Viewer 4. Template design

5. Run Correlations

6. Determine Threshold and Display detections

7. Publish!

Questions?