Overview

AIMBAT (Automated and Interactive Measurement of Body wave Arrival Times) is an open-source software package for efficiently measuring teleseismic body wave arrival times for large seismic arrays (Lou et al., 2013). It is based on a widely used method called MCCC (Multi-Channel Cross-Correlation; VanDecar & Crosson, 1990). The package is automated in the sense of initially aligning seismograms for MCCC, which is achieved by an ICCS (Iterative Cross Correlation and Stack) algorithm. Meanwhile, a GUI (graphical user interface) is built to perform seismogram quality control interactively. Therefore, user processing time is reduced while valuable input from a user’s expertise is retained. As a byproduct, SAC (Goldstein et al., 2003) plotting and phase picking functionalities are replicated and enhanced.

Modules and scripts included in the AIMBAT package were developed using Python and its open-source modules on the Mac OS X platform since 2009. The original MCCC (VanDecar & Crosson, 1990) code was transcribed into Python. The GUI of AIMBAT was inspired and initiated at the 2009 EarthScope USArray Data Processing and Analysis Short Course. AIMBAT runs on Mac OS X, Linux/Unix and Windows thanks to the platform-independent feature of Python. It has been tested on Mac OS 10.6.8 and 10.7, and Fedora 29.

For more information visit the project website or the Pysmo repository.

Documentation

For detailed installation and usage instructions see: https://aimbat.readthedocs.org.

Requirements

  • Python version 3.6 or higher

  • Fortran (optional, but highly recommended for better performance)

Installation

$ pip install pysmo.aimbat

Citation

AIMBAT: A Python/Matplotlib Tool for Measuring Teleseismic Arrival Times. Xiaoting Lou, Suzan van der Lee, and Simon Lloyd (2013), Seismol. Res. Lett., 84(1), 85-93, doi:10.1785/0220120033.

Authors’ Contacts

Contributors

  • Lay Kuan Loh

Licence

The AIMBAT software package is distributed under the GNU General Public License Version 3 (GPLv3) as published by the Free Software Foundation.

Copyright (c) 2009-2019 Xiaoting Lou

Project links

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Credits

Author: Suzan van der Lee

GitHub Statistics

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License expression

GPL-3.0-or-later
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Requires

Python <3.15, >=3.11

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