Our tutorials: From Zero to Noise-Hero

Note that to execute this notebooks on your own machine, you will havev to install jupyter:

pip install jupyter

Basic Functionalities

• obtain raw data

• analyse raw data

• compute correlations

• compute the waveform coherence

• compute your first dv/v curves

• SeisMIC Tutorial
  • 1. Download the raw data
    • 1.1 Plot a time-dependent spectrogram
  • 2. Compute Correlations
    • 2.1 Parameters
  • 2.2 Start correlation
    • Let’s try and combine the two last plots
  • 3. Waveform Coherence
  • 4. Monitoring
    • Make a first plot to get an idea of dv/v
  • Make the plot look a little nicer
• What comes next?
  • Increasing the stability
  • Explore other processing possibilities
  • Invert for a velocity change map
• References
  • Download this notebook

Invert Velocity Changes onto a Map

Learn the basics about spatial inversions of dv/v. - set up your spatial grid - create synthetic models - forward modelling - inverse modelling from real or synthetic data

• Spatial Inversion of dv/v
  • Define the parameters
  • Create a synthetic velocity grid
  • Define station locations and compute dv/v values for each combination
    • Forward modelling
    • add random noise
    • plot a sensitivity kernel
  • Compute inverse model
    • Plot a comparison between synthetic and inverse
• References
  • Download this notebook