Python-based Seismic Data Analysis for Northern California Earthquakes
Taka'aki Taira, Research Staff
Berkeley Seismological Laboratory
Closed. This professor is continuing with Fall 2024 apprentices on this project; no new apprentices needed for Spring 2025.
Berkeley Seismological Laboratory (BSL) maintains the Northern California Earthquake Catalog in collaboration with the U.S. Geological Survey. There are several projects to improve the earthquake catalog by using existing python-based software: 1) moment magnitude estimation and 2) small earthquake detection. Both projects use existing Python-based software to analyze seismic waveform data. The magnitude project will involve more manual identification of seismic phases through a graphical user interface (GUI). The detection project will involve more advanced skills for Python-based coding to analyze massive volumes of seismic data.
Role: The magnitude project: Analyze seismic data with the GUI to manually identify seismic phases (labeling data) for each earthquake to estimate the earthquake magnitude. The detection project: Organize seismic data, feed them into a Python-based software to detect smaller earthquakes. Develop a Python-based code/script to perform automated analysis.
Qualifications: Previous experience with Python programming and/or Python-based projects is desirable.
Day-to-day supervisor for this project: Taka'aki Taira, Staff Researcher
Hours: 3-5 hrs
Mathematical and Physical Sciences