Uses the open source uafgeotools/lts_array in multiple sequential narrow frequency bands.
- conda
- Required: uafgeotools/lts_array
- Optional: uafgeotools/waveform_collection if you would like to gather waveforms with that repository.
- These two repositories are included here as git submodules, so a copy of them are installed in this repository.
In Terminal, navigate to the directory you wish to install then download the repository by running the following:
>> git clone --recurse-submodules https://github.com/amiezzi/narrow_band_least_squares.git
This will create a folder named narrow_band_least_squares.
>> cd narrow_band_least_squares
>> conda env create -f environment.yml
This will create a conda environment named nbls.
To use the code, you will need to activate the conda environment by
>> conda activate nbls
Run an example script in the narrow_band_least_squares directory by
>> python example.py
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
For any questions, please contact Alex Iezzi ([email protected]).