Tutorial

Contents:

• Pre-requisites
  • Environment
  • Running the Tutorial
  • Reference
• Project Initialization
  • Define the path variables
  • Create folder tree
  • Define the preprocessing parameters
  • Define the backprojection parameters
  • Define the template matching parameters
  • Miscelleanous
  • Write the parameters.csv file in current working directory
• Download Seismic Data
  • Defining and Initializing the Data Folder Architecture
  • Data Selection
  • Download the Data
  • Cleanup the Downloaded Data
  • Plot the Raw Data
• Preprocess Seismic Data
  • Build the data reader
  • Read the raw data
  • Preprocess the data
  • Plot the preprocessed traces
  • Write the preprocessed data
• Make Network File
  • Save the network metadata and data availability
  • Test reading the new network file with BPMF.dataset.Network
• Compute P-/S-wave travel Times
  • Load station metadata
  • Read the velocity model from Karabulut et al. 2011
  • Build a 3D Grid of P-/S-wave Velocities
  • Compute the P-/S-wave travel times
  • Store travel time table for backprojection
  • Store travel time tables for NLLoc
  • Plot the travel time field for a given station
  • Bonus: Do you need a downsampled grid for efficient earthquake detection (backprojection)?
• Backprojection of the Seismic Wavefield
  • Load metadata
  • Load the data
  • Compute the waveform features
  • Initialize the Beamformer instance
  • Inform the Beamformer instance of the data and metadata
  • Define the phase-specific weights
  • Define the source-specific weights
  • Run the backprojection
  • Define the earthquake detections
  • Extract the detected events from the continuous data
  • Store the metadata of the detected earthquakes in a database
• Relocation
  • Load the metadata of the events previously detected with backprojection
  • Relocation 1: PhaseNet picks and NonLinLoc
  • Save the relocated events
  • Relocation 2 (Bonus): Locating and estimating uncertainties with backprojection on a fine grid
• Build Template Database
  • Read the database of detected events
  • Remove redundant templates
  • Plot the similar templates
  • Save the non-redundant templates in a database
• Template Matching
  • Read the template database
  • Initialize the BPMF.similarity_search.MatchedFilter instance.
  • Load the data
  • Run the matched-filter search
  • Plot the detected events
  • Save the detected events to database
• Build Earthquake Catalog
  • Read the detected events’ metadata for each template
  • Remove the multiple detections
  • Bonus: Relocate each events
  • Assemble the backprojection and template matching catalog
  • Last clean up
  • Save final catalog
• Reminders on Earthquake Magnitudes:Seismic Moment, Moment Magnitude and Local Magnitude
  • I. Introduction
  • II.Moment Magnitude \(M_w\)
  • III. Local Magnitude \(M_\ell\)
  • References
• Magnitude Computation
  • Load the metadata of the previously detected events
  • Moment magnitude estimation
  • Local magnitude estimation
  • Magnitude distribution