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

2. 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)

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

4. 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]

5. Tools

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

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

8. 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

13. 3. FetchData

14. Filter Cut Keep/discard SVD Viewer 4. Template design

15. 5. Run Correlations

16. 6. Determine Threshold and Display detections

17. 7. Publish!

18. Questions?