We are pleased to announce the release of the Noise Toolkit Polarization Attributes bundle:
http://ds.iris.edu/ds/products/noise-toolkit-polarization/
The Polarization bundle of the Noise Toolkit calculates the eigen-decomposition of the spectra covariance matrix of a sliding window of three-component seismic data to derive frequency dependent polarization attributes such as:
- degree of polarization
- polarization azimuth
- polarization inclination
- phase difference between components
This open-source script bundle contains 3 Python scripts:
- to calculate polarization parameters for a given station and time window
- to extract polarization parameters for the given channels and bounding parameters
- to bin polarization attributes to daily files for a given channel tag and bounding parameters
The product description is available at:
http://ds.iris.edu/ds/products/noise-toolkit-polarization/
This package is available from the IRIS SeisCode repository:
https://seiscode.iris.washington.edu/projects/noise-toolkit-polarization-attributes-bundle
IRIS DMC Data Products team welcomes patches and enhancements to this software.
Thank you,
IRIS DMC Data Products
http://ds.iris.edu/ds/products/noise-toolkit-polarization/
The Polarization bundle of the Noise Toolkit calculates the eigen-decomposition of the spectra covariance matrix of a sliding window of three-component seismic data to derive frequency dependent polarization attributes such as:
- degree of polarization
- polarization azimuth
- polarization inclination
- phase difference between components
This open-source script bundle contains 3 Python scripts:
- to calculate polarization parameters for a given station and time window
- to extract polarization parameters for the given channels and bounding parameters
- to bin polarization attributes to daily files for a given channel tag and bounding parameters
The product description is available at:
http://ds.iris.edu/ds/products/noise-toolkit-polarization/
This package is available from the IRIS SeisCode repository:
https://seiscode.iris.washington.edu/projects/noise-toolkit-polarization-attributes-bundle
IRIS DMC Data Products team welcomes patches and enhancements to this software.
Thank you,
IRIS DMC Data Products