Simple Broadband Data Processing in Matlab

Broadband instruments are velocity sensors, which record data over a large range of frequencies (typically tens of Hz to around 0.01 Hz or lower). Early observatories would typically consist of multiple instruments sensitive to various frequency bands to replicate a broadband overall response. Because different Earth processes excite energy at various frequencies, understanding and broadening the response spectrum of instruments allows for observing more phenomena. Topics explored include the follwoing.

  • Integration and Differentiation
  • Long Period Seismograms
  • Anthropogenic noise
  • Spectral Analysis
  • Plotting expected phase arrivals with TauP Toolkit
  • Forward Model with Generalized Ray Theory

This exercise was developed by Rob Porritt at University of Southern California (rporritt@usc.edu) and used as part of the IRIS Interhsip Oritnation Week.

Objectives:

Students will be able to:

  • Manipulate time series data in a processing environment (Matlab)
  • Convert data from the raw format in digital counts to true ground motion
  • Filter seismograms for analysis within various frequency bands
  • Isolate ground motion from teleseismic earthquakes
  • Visualize anthropogenic sources of noise on records
  • Describe the full spectrum of data returned by broadband instruments

Total Time: 1h 45min
Level: Advanced

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