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
Launch
GUI
Choose
Inputs
FetchData
Design
template
Processing flow
Keep /
discard
detection
Run
Correlations
Display
detections
Determine
Threshold
1. Launch GUI
Select detection method:
cross-correlation
subspace
custom
2. Inputs
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
2. Inputs
2. Inputs
2. Inputs
3. FetchData
4. Template design
•
•
•
•
Filter
Cut
Keep/discard
SVD Viewer
5. Run Correlations
6. Determine Threshold and
Display detections
7. Publish!
Questions?