ANXCOR is a python library for performing seismic ambient noise crosscorrelations.
ANXCOR's goal is to provide a framework to reproduce academic studies, rapididly prototype experimental workflows, and produce medium-sized arrays of seismic noise cross-correlations. Anxcor was designed from the outset with readability and explicit documentation in mind, with the overall architecture following most of the practices outlined in the Clean Code Handbook by Robert C. Martin.
ANXCOR integrates seamlessly into the current python datascience stack by leveraging common datascience packages like pandas, NumPy, and SciPy, as well as the popular seismology package ObsPy. Furthermore, we leverage both xarray and dask to achieve embarassingly parallel execution. Use of these popular packages makes working with ANXCOR intuitive, concise, and extensible without deep domain experience in compiled languages.
learn more about ANXCOR at the wiki.
Kevin A. Mendoza served as chief architect and programmer of ANXCOR. Development of the project was inspired by Dr. Fan-Chi Lin's work in Ambient Noise Seismic Tomography. Many of the routines implemented here were written after careful consultation with him and his Graduate Student work group (However, none of their code was copied or directly translated into anxcor).
Mendoza, Kevin Anthony, Ben Baker, and Kristine L. Pankow. "ANXCOR: Ambient Noise Cross-Correlation with Python." AGU Fall Meeting 2019. AGU, 2019.
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Using obsplus Wavebank creates runtime race condition on hdf5 table reading, causing index corruption. Error not encountered if restricting workers to a single thread.
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Returned DataSet requires some unravelling to properly plot.
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ObsPy is currently not updated to be compatible with numpy 1.17.x or greater. This means that tests directly comparing obspy to anxcor are expected to fail whenever FFT or detrend operations are compared between the two packages. An inspection of these failing tests has confirmed that these errors are numerical in nature, not algorithmic.
- FTAN and beamforming routines
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
- PhD Student Kevin A. Mendoza was the primary developer, and is responsible for the original architecture of the project.
Copyright 2019 Kevin A Mendoza
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