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A Python package for subspace detection and waveform similarity clustering

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d-chambers/Detex

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Note

I will be rewriting much of Detex in the coming months. More information to follow.

Update: I am still working Detex, but the focus of the project will probably change bit. I recommend checking out EQcorrscan for your match filter/detection needs.

Intro

Detex is a python package for performing waveform similarity clustering and subspace detection on seismic data.

Checkout the documentation if you are interested in learning more about it.

References

The following publication provides additional details on the methods employed by detex:

Chambers, D. J., Koper, K. D., Pankow, K. L., & McCarter, M. K. (2015). Detecting and characterizing coal mine related seismicity in the Western US using subspace methods. Geophysical Journal International, 203(2), 1388-1399. doi: 10.1093/gji/ggv383

If you use detex in your research please consider citing it. You can access the article here.

Special thanks to Tex Kubacki (whose work inspired Detex), Jared Stein, Kris Pandow, Lisa Linvile, Shawn Blotz, Chase Batchelor and the many other faculty and students of the University of Utah that have help develop and test detex.

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A Python package for subspace detection and waveform similarity clustering

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