narrow_band_least_squares

Uses the open source uafgeotools/array_processing in multiple sequential narrow frequency bands.

Dependencies

• Follow the instructions to install uafgeotools/array_processing, which will create the new conda environment uafinfra.
• Obspy is included in this environment
• If you would like to use the parallelized version, you must also install joblib in the uafinfra conda environment. For example, using conda:

>> conda install -c anaconda joblib

Installation

In Terminal, navigate to the directory you wish to install then download the repository by running the following:

>> git clone https://github.com/amiezzi/narrow_band_least_squares.git

This will create a folder named narrow_band_least_squares.

Usage

To use the code, you will need to activate the conda environment from uafgeotools/array_processing by

>> conda activate uafinfra

Run an example script by

>> python example.py

Associated Publications

Please cite the following for any use of this repository, which also has more information on the algorithm and example applications:

Iezzi, A.M., Matoza R.S., Bishop, J.W., Bhetanabhotla, S., and Fee, D. (2022), Narrow-Band Least-Squares Infrasound Array Processing, Seismological Research Letters: Electronic Seismologist. https://doi.org/10.1785/0220220042

Please also cite the following paper, as this repository uses their open-source least-squares code:

Bishop, J. W., Fee, D., and Szuberla, C. A. L. (2020). Improved infrasound array processing with robust estimators. Geophysical Journal International, 221(3):2058–2074. https://doi.org/10.1093/gji/ggaa110

Contact Information

For any questions, please contact Alex Iezzi (amiezzi@ucsb.edu).