We have a manuscript on the development of EQcorrscan, if you make use of EQcorrscan please cite the folloing paper:
Chamberlain, C. J., Hopp, C. J., Boese, C. M., Warren-Smith, E., Chambers, D., Chu, S. X., Michailos, K., Townend, J., EQcorrscan: Repeating and near-repeating earthquake detection and analysis in Python. Seismological Research Letters 2017
If you want to you should also cite the version number:
The easiest way to install EQcorrscan is through anaconda:
Instructions for installing EQcorrscan and the required dependency, fftw are linked from the docs
If you want to be kept informed about releases, bug-tracking and enhancements without having to keep looking on github, subscribe to our google group.
The full documentation for this package can be found here: Docs. Any errors including typos and just missing bits can either be fixed by you, or flagged in the issues tab here. We host our docs on readthedocs, which uses sphinx to scrape the docstrings in the codes, so it is simple to match the docs to the codes and change the docstrings.
Please fork this project and work on it there then create a pull request to merge back to this main repository. Please create a branch from develop.
When you make changes please run the tests in the test directory to ensure everything merges with minimum effort. If there is not yet a test to cope with your changes then please write one.
Please document your functions following the other documentation within the functions, these doc-scripts will then be built into the main documentation using Sphinx.
This package contains routines to enable the user to conduct matched-filter earthquake detections using obspy bindings when reading and writing seismic data, as well as subspace detection, brightness source-scanning, relative moment calculation using singular-value decomposition, and correlation pick-adjustment for similar events.
Also within this package are:
- Clustering routines for seismic data;
- Peak finding algorithm (basic, but appropriate for noisy data);
- Automatic amplitude picker for local magnitude scale;
- Obspy.core.event integration, which opens up lots of other functions (Seishub, hypoDDpy etc.);
- Stacking routines including phase-weighted stacking based on Thurber at al. (2014);
- Brightness based template creation based on the work of Frank et al. (2014);
- Singular Value Decomposition derived magnitude calculations based on Rubinstein & Ellsworth (2010).
The code-base has grown to be quite large - it is probably worth having a look at the docs to check what functions we have. We are writing a series of tutorials included on the EQcorrscan API to highlight key functions.
A note on correlation precision EQcorrscan computes normalised cross-correlations in the frequency-domain using the fftw (Fastest Fourier Transform in the West). Internally the C routines enforce double-precision (64-Bit floating point numbers) for all aspects of the cross-correlations (despite requiring 32-Bit float input and output). Results in testing are accurate to within ~0.0001 of time-domain cross-correlation results.
Note that tests for travis and appveyor are run daily on master as cron jobs, and may reflect time-out issues.
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This package is written and maintained by the EQcorrscan developers, and is distributed under the LGPL GNU License, Copyright EQcorrscan developers 2018.